{"id":177,"date":"2016-11-03T23:01:28","date_gmt":"2016-11-04T04:01:28","guid":{"rendered":"https:\/\/my.vanderbilt.edu\/ericgamazon\/?page_id=177"},"modified":"2026-04-11T14:19:49","modified_gmt":"2026-04-11T19:19:49","slug":"news","status":"publish","type":"page","link":"https:\/\/my.vanderbilt.edu\/ericgamazon\/news\/","title":{"rendered":"News"},"content":{"rendered":"<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><a href=\"https:\/\/www.medrxiv.org\/content\/10.64898\/2026.02.12.26346203v1.full.pdf\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft \" src=\"https:\/\/gamazonlaborg.wordpress.com\/wp-content\/uploads\/2026\/04\/f1_large.jpg?w=600\" width=\"188\" height=\"160\" \/>Our study<\/a> quantified &gt;5,000 circulating proteins across two randomized clinical trials of rehabilitation in heart failure with preserved ejection fraction (HFpEF; REHAB-HF, SECRET-II), identifying proteins associated with prognostic measures of physical function and protein changes after rehabilitation. Using an <strong>agentic AI<\/strong> approach, we identified biologically plausible networks central to this \u201cphysical function proteome.\u201d <span class=\"C9DxTc \">The agentic AI-based interpretation framework converts network embeddings (from multiplex network analysis of multi-omics data) into structured, biologically plausible mechanistic narratives. <\/span> We also developed PRO-TWAS (<strong>PROteomics-intervention-informed Transcriptome Wide Association Study<\/strong>), which combines TWAS summary statistics and intervention proteomic (IP) statistics (protein log-fold changes) to evaluate whether genes identified through genetic prediction (TWAS) are consistent with potentially biological effects observed at the protein level under an intervention.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><a href=\"https:\/\/info.cell.com\/best-of-ajhg-2024-2025\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1400\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/10\/ResearchHighlights-232x300.jpg\" alt=\"\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/10\/ResearchHighlights-232x300.jpg 232w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/10\/ResearchHighlights.jpg 300w\" sizes=\"(max-width: 232px) 100vw, 232px\" \/><\/a>Our <a href=\"https:\/\/www.cell.com\/ajhg\/fulltext\/S0002-9297%2824%2900208-8\" target=\"_blank\" rel=\"noopener\">study<\/a> (<em>A transcriptomic atlas of the human brain reveals genetically determined aspects of neuropsychiatric health<\/em>) was selected by the American Society of Human Genetics for the &#8220;Best of AJHG and HGG Advances 2024 and 2025&#8221; volume.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1389\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/10\/CellMetabolismMLv1-300x267.png\" alt=\"\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/10\/CellMetabolismMLv1-300x267.png 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/10\/CellMetabolismMLv1.png 590w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>This <a href=\"https:\/\/www.cell.com\/cell-metabolism\/abstract\/S1550-4131%2825%2900434-6\" target=\"_blank\" rel=\"noopener\">study<\/a> in <em>Cell Metabolism<\/em> <span class=\"C9DxTc \">develops a new AI\/ML platform for predicting the physiological substrates of solute carriers. Among the many findings, SLC25A45 mediates mitochondrial import of methylated amino acids and synthesis of carnitine, a metabolite critical for \u03b2-oxidation and energy production. A resource for transporter deorphanization,\u00a0 it has been selected for <a href=\"https:\/\/www.cell.com\/cell-metabolism\/issue?pii=S1550-4131(24)X0012-1#fullCover\" target=\"_blank\" rel=\"noopener\"><strong>front cover<\/strong><\/a>.<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1380\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/09\/Cell_Genomics_featured_Sept2025-300x142.png\" alt=\"\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/09\/Cell_Genomics_featured_Sept2025-300x142.png 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/09\/Cell_Genomics_featured_Sept2025-650x308.png 650w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/09\/Cell_Genomics_featured_Sept2025-768x364.png 768w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/09\/Cell_Genomics_featured_Sept2025.png 979w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><a href=\"http:\/\/www.doi.org\/10.1016\/j.xgen.2025.100925\">&#8220;The extracellular vesicle transcriptome provides tissue-specific functional genomic annotation relevant to disease susceptibility in obesity&#8221;<\/a> was selected for Featured Content in <em>Cell Genomics<\/em> (September 2025 issue).<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/StudySectionCompletion.png\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1333\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/StudySectionCompletion-300x231.png\" alt=\"\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/StudySectionCompletion-300x231.png 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/StudySectionCompletion-650x501.png 650w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/StudySectionCompletion.png 754w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a>Dr. Gamazon has completed his services as member of the \u201cAnalytics and Statistics for Population Research Panel A\u201d (ASPA) and the \u201cBiostatistical Methods and Research Design\u201d (BMRD) NIH study sections (2021 \u2013 2025).<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/08\/RedGatesFoundation.jpg\"><img decoding=\"async\" class=\"alignleft wp-image-1369 size-full\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/08\/RedGatesFoundation.jpg\" alt=\"\" width=\"150\" border=\"3\" \/><\/a>We are grateful to the Red Gates Foundation for supporting our work on neurological disorders, including epilepsy.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/ExtracellularVesiclesv1.jpg\"><img decoding=\"async\" class=\"alignleft wp-image-1335 size-medium\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/ExtracellularVesiclesv1-208x300.jpg\" alt=\"\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/ExtracellularVesiclesv1-208x300.jpg 208w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/ExtracellularVesiclesv1-451x650.jpg 451w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/ExtracellularVesiclesv1-768x1106.jpg 768w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/07\/ExtracellularVesiclesv1.jpg 889w\" sizes=\"(max-width: 208px) 100vw, 208px\" \/><\/a>Our study on the genomics of interorgan communication is out in <a href=\"https:\/\/www.cell.com\/action\/showPdf?pii=S2666-979X%2825%2900181-8\" target=\"_blank\" rel=\"noopener\"><em>Cell Genomics<\/em><\/a>. This study represents the &#8220;convergence of the GWAS (genetics), epigenomics (transcript regulation), and EV (liquid biopsy) fields, enabling powerful future genomic studies of complex diseases.&#8221;<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/08\/ScottHamiltonCARES.jpg\"><img decoding=\"async\" class=\"alignleft wp-image-1366 size-full\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/08\/ScottHamiltonCARES.jpg\" alt=\"\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/08\/ScottHamiltonCARES.jpg 225w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2025\/08\/ScottHamiltonCARES-150x150.jpg 150w\" sizes=\"(max-width: 225px) 100vw, 225px\" \/><\/a>We are excited to receive funding from the Scott Hamilton CARES Foundation, which is allowing us to advance two major initiatives in the lab: a <a href=\"http:\/\/www.doi.org\/10.1227\/neu.0000000000003360_201\" target=\"_blank\" rel=\"noopener\">transcriptome-wide association study (TWAS) of glioma<\/a> and an expansion of <a href=\"https:\/\/www.cell.com\/ajhg\/fulltext\/S0002-9297%2824%2900208-8\" target=\"_blank\" rel=\"noopener\">NeuroimaGene<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1264\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/BanffWorkshopLocation-300x93.png\" alt=\"BanffWorkshopLocation\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/BanffWorkshopLocation-300x93.png 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/BanffWorkshopLocation-768x238.png 768w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/BanffWorkshopLocation-650x201.png 650w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/BanffWorkshopLocation.png 1413w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>We participated in the \u201cStatistical, Computational, Translational, and Ethical Challenges in Biobank Data Analysis\u201d <a href=\"https:\/\/www.birs.ca\/events\/2024\/5-day-workshops\/24w5292\/schedule\"><strong>workshop<\/strong><\/a> at the Banff International Research Station for Mathematical Innovation and Discovery (BIRS). <b>Title:<\/b> Statistical Genetics and Genomic Medicine in the Biobank Era: Opportunities and Challenges. <b>When:<\/b> Monday July 22, 2024<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1253\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Extended-Figure-1-295x300.jpg\" alt=\"Extended Figure 1\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Extended-Figure-1-295x300.jpg 295w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Extended-Figure-1-768x781.jpg 768w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Extended-Figure-1-639x650.jpg 639w\" sizes=\"(max-width: 295px) 100vw, 295px\" \/>Despite decades of research, many metabolic genes still lack known molecular substrates. To discover functions for \u201corphan\u201d transporters and enzymes, we developed the GeneMAP resource. The paper is now out (July 2024) in <em><a href=\"https:\/\/doi.org\/10.1038\/s41588-024-01827-2\">Nature Genetics<\/a><\/em>. This interdisciplinary study spanning genomics and metabolism also identified SLC25A48 as the long-sought mitochondrial choline transporter.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1236\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/STATGEN2024-300x96.png\" alt=\"STATGEN2024\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/STATGEN2024-300x96.png 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/STATGEN2024.png 357w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>The American Statistical Association (ASA) Section on Statistics in Genomics and Genetics (SSGG) had its first section conference (<a href=\"https:\/\/www.sph.pitt.edu\/statgen-2024-conference-statistics-genomics-and-genetics\">STATGEN 2024<\/a>) on May 1-3, 2024 in Pittsburgh. We <a href=\"https:\/\/whova.com\/embedded\/session\/0f0P9djAJ9ROLDzbSa7wyuQQ6xNZtXvD4orzgSFHoI0%3D\/3705822\/?widget=primary\">presented<\/a> our work on single-cell and bulk-tissue transcriptomics in the session &#8220;Computational methods and platforms for genetic and omic data integration&#8221;.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1201\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/single_cell_workshop.logo_-300x169.jpg\" alt=\"single_cell_workshop.logo\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/single_cell_workshop.logo_-300x169.jpg 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/single_cell_workshop.logo_-768x432.jpg 768w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/single_cell_workshop.logo_-650x366.jpg 650w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/single_cell_workshop.logo_.jpg 1280w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>We presented the single-cell RNA-Seq workshop at the International Genetic Epidemiology Society (2023) <a href=\"https:\/\/site.pheedloop.com\/event\/IGES2023\/speakers\/SPEJJBXGBLI\" target=\"_blank\" rel=\"noopener\">annual meeting<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1248\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/FulbrightScholar-300x95.png\" alt=\"FulbrightScholar\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/FulbrightScholar-300x95.png 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/FulbrightScholar.png 456w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>We have been selected to host a <a href=\"https:\/\/fulbrightscholars.org\/grantee\/yunus-annayev\">Fulbright Scholar<\/a>, Dr. Yunus Annayev.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Screenshot-2022-08-02-at-01-33-57-model_diagram.pdf-300x142.png\" alt=\"Screenshot 2022-08-02 at 01-33-57 model_diagram.pdf\" width=\"150\" border=\"3\" \/>We present a new deep learning framework, HYFA (Hypergraph Factorisation), for multi-tissue gene expression imputation and cell-type signature inference &#8212; just out in <strong><a href=\"https:\/\/www.nature.com\/articles\/s42256-023-00684-8.pdf\" target=\"_blank\" rel=\"noopener\"><em>Nature Machine Intelligence<\/em><\/a><\/strong>. The study was selected for the <strong>front cover<\/strong> of the <a href=\"https:\/\/media.springernature.com\/w440\/springer-static\/cover-hires\/journal\/42256\/5\/7?as=webp&amp;q=95\" target=\"_blank\" rel=\"noopener\">July issue<\/a>. HYFA represents multi-tissue gene expression in a hypergraph of individuals, metagenes, and tissues, and learns factorised representations via a specialised message passing neural network operating on the hypergraph. Through transfer learning on single-nucleus RNA-seq data, HYFA resolves cell-type signatures from bulk gene expression. HYFA may provide a unifying transcriptomic methodology for multi-tissue imputation and cell-type deconvolution.\n<p dir=\"ltr\">The hypergraph factorisation framework is flexible (supporting k-uniform hypergraphs of arbitrary node types) and may find application beyond computational genomics.<\/p>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/2_GenSpotlight-300x169.jpg\" alt=\"2_GenSpotlight\" width=\"150\" border=\"3\" \/>Our research was highlighted by NIH\/NHGRI in the first <a href=\"https:\/\/www.genome.gov\/about-nhgri\/Director\/genomics-landscape\/jan-5-2023-artificial-intelligence-and-machine-learning-becoming-pervasive-at-nhgri-and-in-genomics#investigator-initiated\">Genomics Research Spotlight<\/a> (&#8220;Artificial intelligence and machine learning becoming pervasive at NHGRI and in genomics&#8221; article) featuring a funded investigator-initiated research project.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/FLVCR1-300x300.jpg\" alt=\"FLVCR1\" width=\"150\" border=\"3\" \/>A study, led by K\u0131van\u00e7 Birsoy and Timothy Kenny, identifying the major mammalian choline transporter is now out in <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S1550413123001304\"><i>Cell Metabolism<\/i><\/a>. <span class=\"C9DxTc \">The study was selected by <\/span><em><span class=\"C9DxTc \">Cell Metabolism<\/span><\/em><span class=\"C9DxTc \"> for <\/span><a class=\"XqQF9c\" href=\"https:\/\/doi.org\/10.1016\/j.cmet.2023.05.004\" target=\"_blank\" rel=\"noopener\"><span class=\"C9DxTc aw5Odc \">preview<\/span><\/a><span class=\"C9DxTc \">. <\/span>Combined genetic and biochemical screens provide \u201cthe answer to a long-standing question in lipid biology,\u201d identifying the transporters for choline uptake critical for cell and tissue <span class=\"C9DxTc \">phospholipid <\/span>homeostasis.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/GBMI_Initiative-300x168.jpg\" alt=\"GBMI_Initiative\" width=\"150\" border=\"3\" \/>Our research with the Global Biobank Meta-analysis Initiative (GBMI) \u2014 a network of genetically profiled biobanks linked to extensive phenomic data \u2014 on <a href=\"https:\/\/www.cell.com\/cell-genomics\/pdfExtended\/S2666-979X(22)00125-2\">multi-ancestry, meta-analytic transcriptome-wide association studies<\/a> is finally out in <em>Cell Genomics<\/em>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft wp-image-1144 size-medium\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/AD_Abstract-300x109.jpg\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/AD_Abstract-300x109.jpg 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/AD_Abstract.jpg 500w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Out now: <a class=\"XqQF9c\" href=\"https:\/\/doi.org\/10.1016\/j.csbj.2023.03.051\" target=\"_blank\" rel=\"noopener\">Towards mechanistic models of mutational effects: Deep learning on Alzheimer\u2019s A\u03b2 peptide<\/a><\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/www.biorxiv.org\/content\/biorxiv\/early\/2021\/01\/28\/2021.01.28.428521\/F1.large.jpg?width=800&amp;height=600&amp;carousel=1\" width=\"150\" border=\"3\" \/><a href=\"https:\/\/www.cell.com\/action\/showPdf?pii=S2589-0042%2822%2900771-4\" target=\"_blank\" rel=\"noreferrer noopener\">Modeling mutational effects on biochemical phenotypes using convolutional neural networks: application to SARS-CoV-2<\/a> is now out.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft wp-image-1066 size-medium\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Overview_faiGP-300x169.jpg\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Overview_faiGP-300x169.jpg 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Overview_faiGP-768x432.jpg 768w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Overview_faiGP-650x366.jpg 650w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Overview_faiGP.jpg 1280w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>We develop a <a href=\"https:\/\/arxiv.org\/abs\/2203.08808\">neural-network-directed genetic programmer<\/a> to extract governing mathematical expressions from observed data.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft wp-image-1068 size-medium \" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Figure-SEGMENT-SCAN-300x169.jpg\" alt=\"Figure-SEGMENT-SCAN\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Figure-SEGMENT-SCAN-300x169.jpg 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Figure-SEGMENT-SCAN-768x432.jpg 768w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Figure-SEGMENT-SCAN-650x366.jpg 650w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Figure-SEGMENT-SCAN.jpg 1280w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><a href=\"https:\/\/www.nature.com\/articles\/s41525-022-00296-y\">Integrative transcriptomic, evolutionary, and causal inference framework for region-level analysis: Application to COVID-19<\/a> is now out. Here we present an estimation approach to expression-mediated heritability due to a genomic segment (e.g., a regulatory element, a stretch of DNA under selection, an introgressed haplotype) using GWAS summary statistics.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-1050\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/clare_hall_news-300x238.jpg\" alt=\"clare_hall_news\" width=\"150\" height=\"197\" border=\"3\" \/>A <a class=\"XqQF9c\" href=\"https:\/\/www.clarehall.cam.ac.uk\/news\/scienceandnature21\/\" target=\"_blank\" rel=\"noopener\">news piece<\/a> (from <a href=\"https:\/\/www.clarehall.cam.ac.uk\/\">Clare Hall<\/a>, University of Cambridge).<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/GBMI_Initiative.jpg\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1036\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/GBMI_Initiative-300x168.jpg\" alt=\"\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/GBMI_Initiative-300x168.jpg 300w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/GBMI_Initiative-650x363.jpg 650w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/GBMI_Initiative.jpg 680w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a><br \/>\nSeveral studies by the Global Biobank Meta-analysis Initiative are now out in preprint, including:<\/p>\n<ul>\n<li><a class=\"XqQF9c\" href=\"https:\/\/www.medrxiv.org\/content\/10.1101\/2021.11.19.21266436v1.full.pdf\" target=\"_blank\" rel=\"noopener\">Global Biobank Meta-analysis Initiative: powering genetic discovery across human diseases<\/a><\/li>\n<li><a class=\"XqQF9c\" href=\"https:\/\/www.medrxiv.org\/content\/10.1101\/2021.11.18.21266545v1.full.pdf\" target=\"_blank\" rel=\"noopener\">Global biobank analyses provide lessons for computing polygenic risk scores across diverse cohorts<\/a><\/li>\n<li><a href=\"https:\/\/www.medrxiv.org\/content\/10.1101\/2021.11.24.21266825v2.full.pdf\" target=\"_blank\" rel=\"noopener\">Best practices of multi-ancestry, meta-analytic transcriptome-wide association studies: lessons from the Global Biobank Meta-analysis Initiative<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><a href=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/MitoTransporter_Nature.v1.jpg\"><img decoding=\"async\" class=\"alignleft size-medium wp-image-1024\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/MitoTransporter_Nature.v1-232x300.jpg\" alt=\"\" width=\"150\" border=\"3\" srcset=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/MitoTransporter_Nature.v1-232x300.jpg 232w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/MitoTransporter_Nature.v1-503x650.jpg 503w, https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/MitoTransporter_Nature.v1.jpg 557w\" sizes=\"(max-width: 232px) 100vw, 232px\" \/><\/a><a class=\"XqQF9c\" href=\"https:\/\/www.nature.com\/articles\/s41586-021-04025-w\" target=\"_blank\" rel=\"noopener\">SLC25A39 is necessary for mitochondrial glutathione import in mammalian cells<\/a> has come out in <em>Nature<\/em> (October 2021). Led by K\u0131van\u00e7 Birsoy, it solves a long-standing mystery in metabolism and redox biology, with implications for our understanding of a range of human diseases. The study leverages organellar proteomics and metabolomics approaches and human transcriptome-wide association studies (TWAS).<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/pQTL_discovery-300x169.jpg\" alt=\"pQTL_discovery\" width=\"150\" border=\"3\" \/>Excited to see <span class=\" aw5Odc\"><a class=\"XqQF9c\" href=\"https:\/\/www.science.org\/doi\/10.1126\/science.abj1541\" target=\"_blank\" rel=\"noopener\">Mapping the proteo-genomic convergence of human diseases<\/a><\/span> finally out in <em>Science<\/em> (October 2021). Led by Claudia Langenberg, it \u201cprovides a framework to 1) connect etiologically related diseases, 2) provide biological context for new or emerging disorders, and 3) integrate different biological domains to establish mechanisms for known gene-disease links.\u201d<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/NIH_Center_for_Scientific_Review.png\" alt=\"NIH_Center_for_Scientific_Review\" width=\"150\" border=\"3\" \/>Dr Gamazon has been appointed a standing member of the NIH Biostatistical Methods and Research Design (BMRD) study section.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/bbrf-logo.png\" alt=\"bbrf-logo\" width=\"150\" border=\"3\" \/>Dr <a href=\"https:\/\/medicine.vumc.org\/person\/garrett-kaas-phd\">Garrett Kass<\/a> has received a <a href=\"https:\/\/www.bbrfoundation.org\/grants-prizes\/grants\">2021 BBRF Young Investigator Award<\/a>. Huge congrats!<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Contextualizing_NatComms-300x163.png\" alt=\"Contextualizing_NatComms\" width=\"150\" border=\"3\" \/>Our study <a href=\"https:\/\/www.nature.com\/articles\/s41467-021-24387-z\">Contextualizing genetic risk score for disease screening and rare variant discovery<\/a> is out in <i>Nature Communications<\/i>. We investigate how common, small-effect polygenic burden (PB) and large-effect variants (LEVs) can inform disease risk stratification and prediction. The study develops a computational methodology on the use of genetic risk score for disease screening and rare variant discovery. The framework makes predictions on PB-based LEV screening for 36 complex traits, which we confirm in a large-scale biobank (UK Biobank) with available LEV information. Our observation on the enrichment of rare variant carriers in the lower tail of the polygenic risk score was first presented in the 2015 <a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/epdf\/10.1002\/gepi.21916\">International Genetic Epidemiology Society meeting<\/a> (Davis LK et al.).<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/aseeQTL-300x169.png\" alt=\"aseeQTL\" width=\"150\" border=\"3\" \/>Our article on detecting context-dependent gene regulation is out in <a href=\"https:\/\/www.nature.com\/articles\/s43588-021-00092-1\"><em>Nature Computational Science<\/em><\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/med-school-ent1200x400-300x100.png\" width=\"150\" border=\"3\" \/>We are excited to have Mariah Antopia and Elma Jashim in our group. Mariah is a recent recipient of the Barry Goldwater Scholarship, the nation&#8217;s preeminent scholarship in science, technology, engineering and mathematics. Elma is quickly becoming a prolific young scientist with authorship on several recent publications.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/DOM-Gamazon-Award-300x226.png\" width=\"150\" border=\"3\" \/>Dr Gamazon received the 2020-2021 Basic Research Award of the Division of Genetic Medicine, Department of Medicine.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/multilayer-300x233.png\" width=\"150\" border=\"3\" \/><a href=\"https:\/\/rdcu.be\/clp5Z\" target=\"_blank\" rel=\"noreferrer noopener\">Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits<\/a> is out in <i>npj Systems Biology and Applications<\/i>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/DeepLearningExpression-300x206.jpg\" width=\"150\" border=\"3\" \/>Latest study: <a href=\"https:\/\/www.readcube.com\/articles\/10.3389\/fgene.2021.624128\" target=\"_blank\" rel=\"noreferrer noopener\">Deep Learning Enables Fast and Accurate Imputation of Gene Expression<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/41588_2020_706_Fig1_HTML-1.png\" alt=\"41588_2020_706_Fig1_HTML\" width=\"150\" border=\"3\" \/><a href=\"https:\/\/www.nature.com\/articles\/s41588-020-0706-2\" target=\"_blank\" rel=\"noreferrer noopener\">A unified framework for joint-tissue transcriptome-wide association and Mendelian randomization analysis<\/a> is now out in <em>Nature Genetics<\/em>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/IGES.png\" width=\"150\" border=\"3\" \/><a href=\"https:\/\/twitter.com\/GENES_PK\/status\/1352607458221428739\">International Genetic Epidemiology Society<\/a> (IGES) journal club discusses PrediXcan paper (January 27, 2021). Meeting registration <a href=\"https:\/\/harvard.zoom.us\/meeting\/register\/tJwudeGgrTMrGdITlgLBnD1AxgzzWxRaJ7L1\">here<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/GenomeBio_paper-300x211.png\" width=\"150\" border=\"3\" \/><a href=\"https:\/\/genomebiology.biomedcentral.com\/track\/pdf\/10.1186\/s13059-020-02252-4.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">Exploiting the GTEx resources to decipher the mechanisms at GWAS loci<\/a> is now peer-reviewed and published in <em>Genome Biology<\/em>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/sarscov2_paper-300x289.png\" alt=\"sarscov2_paper\" width=\"150\" border=\"3\" \/><a href=\"http:\/\/dx.doi.org\/10.1038\/s41467-020-19996-z\" target=\"_blank\" rel=\"noreferrer noopener\">Genetic architecture of host proteins involved in SARS-CoV-2 infection<\/a> is finally out in <em>Nature Communications<\/em>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Science_Cover-236x300.gif\" alt=\"Science_Cover\" width=\"150\" height=\"197\" border=\"3\" \/>GTEx has been an absolutely rewarding experience. Amazing colleagues and equally amazing science over the years. Several papers in the journal <i>Science<\/i> have come out, including <a href=\"https:\/\/science.sciencemag.org\/content\/369\/6509\/eaba3066\">The impact of sex on gene expression across human tissues<\/a> and the main consortium paper <a href=\"https:\/\/science.sciencemag.org\/content\/369\/6509\/1318\">The GTEx Consortium atlas of genetic regulatory effects across human tissues<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/DeepLearningExpression-300x206.jpg\" width=\"150\" border=\"3\" \/>Thrilled about two projects exploring the intersection of deep learning and genomics. Preprints are now available. First, <a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2020.06.09.141689v2\" target=\"_blank\" rel=\"noopener\">Gene Expression Imputation with Generative Adversarial Imputation Nets<\/a>. Second, <a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2020.05.21.109082v4\" target=\"_blank\" rel=\"noopener\">Multilayer Modelling and Analysis of the Human Transcriptome<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/www.biorxiv.org\/content\/biorxiv\/early\/2020\/07\/01\/2020.07.01.182709\/F3.large.jpg?download=true\" width=\"150\" border=\"3\" \/>Preprint for <a href=\"https:\/\/www.biorxiv.org\/content\/10.1101\/2020.07.01.182709v1\" target=\"_blank\" rel=\"noopener\">Genetic architecture of host proteins interacting with SARS-CoV-2<\/a> is now out. All results are downloadable and dynamic interrogation of the data is facilitated through a <a href=\"https:\/\/omicscience.org\/apps\/covidpgwas\/\" target=\"_blank\" rel=\"noopener\">portal<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/CoEssentiality-300x176.png\" alt=\"CoEssentiality\" width=\"150\" border=\"3\" \/><a href=\"https:\/\/www.nature.com\/articles\/s42255-020-0206-9\" target=\"_blank\" rel=\"noopener\">Metabolic coessentiality mapping identifies C12orf49 as a regulator of SREBP processing and cholesterol metabolism<\/a> is out in <em>Nature Metabolism<\/em>. See <a href=\"https:\/\/www.nature.com\/articles\/s42255-020-0218-5\" target=\"_blank\" rel=\"noopener\">Editorial<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/med-school-ent1200x400-300x100.png\" alt=\"med-school-ent1200x400\" width=\"150\" border=\"3\" \/>So excited to announce that graduate students <a href=\"https:\/\/medsites.mc.vanderbilt.edu\/vgi\/2020-2021-human-genetics-graduate-students\" target=\"_blank\" rel=\"noopener\">Hanna Abe<\/a> and <a href=\"https:\/\/medschool.vanderbilt.edu\/igp\/person\/becky-sale\/\" target=\"_blank\" rel=\"noopener\">Becky Sale<\/a> of the <a href=\"https:\/\/medschool.vanderbilt.edu\/igp\/\" target=\"_blank\" rel=\"noopener\">Interdisciplinary Graduate Program in the Biomedical Sciences (IGP)<\/a> and <a href=\"https:\/\/medschool.vanderbilt.edu\/mstp\/person\/xavier-bledsoe\/\" target=\"_blank\" rel=\"noopener\">Xavier Bledsoe<\/a> of the <a href=\"https:\/\/medschool.vanderbilt.edu\/mstp\/\" target=\"_blank\" rel=\"noopener\">Medical Scientist Training Program (MSTP)<\/a> at Vanderbilt University have joined the lab. Welcome!<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/media.springernature.com\/lw685\/springer-static\/image\/art%3A10.1186%2Fs13195-020-00611-8\/MediaObjects\/13195_2020_611_Fig1_HTML.png\" alt=\"figure1\" width=\"150\" height=\"197\" border=\"3\" \/>Our latest research on genetics and neurodegeneration with Zac Gerring and Eske Derks of QIMR Berghofer is out.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/med-school-ent1200x400-300x100.png\" alt=\"med-school-ent1200x400\" width=\"150\" border=\"3\" \/>Welcome to this term\u2019s rotation students: Abigail Rich and Wanying Zhu of the <a class=\"dhtgD aw5Odc\" href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fmedschool.vanderbilt.edu%2Figp%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNFY-A3HR3I2jTS3-GyqB1ylNAI4rw\" target=\"_blank\" rel=\"noopener\">Interdisciplinary Graduate Program in the Biomedical Sciences (IGP)<\/a> and Xavier Bledsoe of the <a class=\"dhtgD aw5Odc\" href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fmedschool.vanderbilt.edu%2Fmstp%2F&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNH_vGB_SGmb4CBxqW9s1fan1iGe6g\" target=\"_blank\" rel=\"noopener\">Medical Scientist Training Program (MSTP)<\/a> at Vanderbilt University.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/pgrn-fulltext-logo-7-300x91.png\" alt=\"pgrn-fulltext-logo-7\" width=\"150\" height=\"60\" border=\"3\" \/>Our work was highlighted in Featured Investigator for February 2020 by the <a href=\"https:\/\/www.pgrn.org\/what-is-pgrn.html\" target=\"_blank\" rel=\"noopener\">Pharmacogenomics Research Network<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/med-school-ent1200x400-300x100.png\" alt=\"med-school-ent1200x400\" width=\"150\" border=\"3\" \/>Welcome to this term\u2019s rotation students: Blyte Hospelhorn and Taylor Nagai of the <a class=\"dhtgD aw5Odc\" href=\"https:\/\/medschool.vanderbilt.edu\/igp\/\" target=\"_blank\" rel=\"noopener\">Interdisciplinary Graduate Program in the Biomedical Sciences (IGP)<\/a> (rotation 3 of 2019-2020 academic year) at Vanderbilt University.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Nat_Med_Jan132020_cover.png\" alt=\"Nat_Med_Jan132020_cover\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"https:\/\/www.nature.com\/articles\/s41591-019-0705-y\" target=\"_blank\" rel=\"noopener\">Phenome-based approach identifies RIC1-linked Mendelian syndrome through zebrafish models, biobank associations and clinical studies<\/a> is out in <em>Nature Medicine<\/em> as a \u201cFocus\u201d article. The study identified a new Mendelian syndrome, uncovering a novel mechanism for rare and common diseases. With knowledge derived from animal models, human common disease biobanks, and rare Mendelian disorders, we seek to accelerate the discovery of disease mechanisms.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Reuters_health-300x300.jpg\" alt=\"Reuters_health\" width=\"150\" height=\"197\" border=\"3\" \/>Check out this Reuters Health <a href=\"https:\/\/www.mdlinx.com\/internal-medicine\/top-medical-news\/article\/2020\/01\/14\/7599779\/\" target=\"_blank\" rel=\"noopener\">story<\/a> about a new <em>JAMA Psychiatry<\/em> study on shared genetic factors between major psychiatric disorders and BMI.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Benson_Hall_Vanderbilt-242x300.jpg\" alt=\"Benson_Hall_Vanderbilt\" width=\"150\" height=\"197\" border=\"3\" \/>We are excited to design and teach the following graduate courses (<a href=\"https:\/\/www.coursicle.com\/vanderbilt\/professors\/Eric+Gamazon\/\" target=\"_blank\" rel=\"noopener\">Spring 2020<\/a>) at Vanderbilt University:<br \/>\nIGP 8002: Integrating Genomics and Phenomics: Characterizing Disease Mechanisms<br \/>\nEPID 8332: Advanced Methods For Epidemiology<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/archaics.jpg\" alt=\"archaics\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"https:\/\/www.nature.com\/articles\/s41559-019-0996-x\" target=\"_blank\" rel=\"noopener\">Inferred divergent gene regulation in archaic hominins reveals potential phenotypic differences<\/a> is out in <i>Nature Ecology &amp; Evolution<\/i>. Read editorial by <a href=\"https:\/\/www.nature.com\/articles\/s41559-019-0995-y\" target=\"_blank\" rel=\"noopener\">Yan SM &amp; McCoy RC<\/a>. Selected for <a class=\"dhtgD aw5Odc\" href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Ff1000.com%2Fprime%2F736727500&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNExwXTZKzdxtx8fK5epnoiktgd12A\" target=\"_blank\" rel=\"noopener\">F1000<\/a>. Here, we present an approach for identifying divergent gene regulation between archaic hominins, such as Neanderthals, and anatomically modern humans and for exploring phenotypic differences between archaic groups from genetic data.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/NIH_GenomicAward.jpg\" alt=\"NIH_GenomicAward\" width=\"150\" height=\"197\" border=\"3\" \/>Dr Gamazon has received an inaugural <a href=\"https:\/\/www.nih.gov\/news-events\/news-releases\/nih-announces-six-inaugural-genomic-innovator-awards?utm_source=dlvr.it&amp;utm_medium=twitter\" target=\"_blank\" rel=\"noopener\">Genomic Innovator Award<\/a> from the NIH.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Vandy_BME-300x100.jpg\" alt=\"Vandy_BME\" width=\"150\" border=\"3\" \/>We are super thrilled to be paired with students in a Senior Design group in Vanderbilt University\u2019s Department of Biomedical Engineering for our project \u201cDeveloping a Machine Learning Framework for Data Integration in Genomics and Precision Medicine\u201d (PIs: Eric Gamazon and Sandra Zinkel).<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/ScienceNG.jpg\" alt=\"ScienceNG\" width=\"150\" height=\"197\" border=\"3\" \/>Our recent paper on genetic mechanisms underlying neuropsychiatric disease (<em>Nature Genetics<\/em> 55, 933 (2019)) received coverage in <a href=\"https:\/\/twitter.com\/VUMCgenetics\/status\/1146429939459264512\" target=\"_blank\" rel=\"noopener\"><em>Science<\/em> (14 June 2019)<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/agnietenkapel-351720-300x172.jpg\" alt=\"agnietenkapel-351720\" width=\"150\" border=\"3\" \/>Congratulations to Andries Marees for <a href=\"https:\/\/twitter.com\/egamazon\/status\/1144978912721723392\" target=\"_blank\" rel=\"noopener\">successful defense<\/a> of his PhD thesis! The ceremony was held at the Agnietenkapel, built in the 1400\u2019s and considered the birthplace of the University of Amsterdam.<br \/>\n\u201c<i>Marees heeft onderzocht wat de genetische basis is van middelengebruik\/verslaving. Hij wilde achterhalen welke genetische varianten een rol spelen in de kwetsbaarheid om verslaafd te raken.<\/i>\u201c<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/cover_journal_NG.png\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"https:\/\/www.nature.com\/articles\/s41588-019-0409-8\" target=\"_blank\" rel=\"noopener\">Multi-tissue transcriptome analyses identify genetic mechanisms underlying neuropsychiatric traits<\/a> is out in <i>Nature Genetics<\/i>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/AJHG_LA-300x286.jpg\" width=\"150\" border=\"3\" \/><a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS0002-9297%2819%2930155-7&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNEHuZSNjTRH6SqBZt406a02n8a1Ow\" target=\"_blank\" rel=\"noopener\">On Using Local Ancestry to Characterize the Genetic Architecture of Human Traits: Genetic Regulation of Gene Expression in Multiethnic or Admixed Populations<\/a> is out in <i>American Journal of Human Genetics<\/i>. Read <a class=\"dhtgD\" href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fwww.cell.com%2Faction%2FshowPdf%3Fpii%3DS0002-9297%252819%252930199-5&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNHe6CbfoIAwTOPGWcY8T-VsVj5_mQ\" target=\"_blank\" rel=\"noopener\">AJHG Editors\u2019 Corner<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Circulation_Research.gif\" width=\"150\" height=\"197\" border=\"3\" \/>Dr Gamazon is now on the Editorial Board of the journal <a href=\"https:\/\/en.wikipedia.org\/wiki\/Circulation_Research\" target=\"_blank\" rel=\"noopener\"><i>Circulation Research<\/i><\/a> of the American Heart Association. <a href=\"https:\/\/www.ahajournals.org\/journal\/res\" rel=\"nofollow\">https:\/\/www.ahajournals.org\/journal\/res<\/a><\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/AJHG_Logo.gif\" alt=\"AJHG_Logo\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"https:\/\/www.cell.com\/ajhg\/fulltext\/S0002-9297(19)30017-5\" target=\"_blank\" rel=\"noopener\">GRIK5 Genetically Regulated Expression Associated with Eye and Vascular Phenomes: Discovery through Iteration among Biobanks, Electronic Health Records, and Zebrafish<\/a> is out in the <i>American Journal of Human Genetics <\/i>as a <a href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fwww.cell.com%2Fajhg%2Fissue%3Fpii%3DS0002-9297%2818%29X0004-4&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNGZYkHpxugOlxawMDjn5U8-oMqAtg\" target=\"_blank\" rel=\"noopener\">Featured Article<\/a>. Read <a class=\"dhtgD\" href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Fwww.cell.com%2Fajhg%2Ffulltext%2FS0002-9297%2819%2930059-X&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNEprAtPpYveGLpLviuaPQTUpg3ZgQ\" target=\"_blank\" rel=\"noopener\">AJHG Editors\u2019 Corner<\/a>, \u201cAn Eye on Big Data.\u201d We integrated a novel computational method (applied to a biobank linked to electronic health records) and extensive functional studies in model-system loss-of-function models (using CRISPR-Cas9 gene editing strategies and morpholino oligonucleotide-based protein knockdown) to elucidate a link between vascular biology and eye disease.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/eLife_Logo-300x130.png\" alt=\"eLife_Logo\" width=\"150\" border=\"3\" \/><a href=\"https:\/\/elifesciences.org\/articles\/40907\" target=\"_blank\" rel=\"noopener\">Bid maintains mitochondrial cristae structure and protects against cardiac disease in an integrative genomics study<\/a> is out in <i>eLIFE <\/i>and was showcased in <a class=\"dhtgD\" href=\"https:\/\/www.google.com\/url?q=https%3A%2F%2Felifesciences.org%2Fdigests%2F40907%2Fhealthy-hearts-need-hardy-mitochondria&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNHirV08kXgAYj6IQzAY7SiwnL8H9Q\" target=\"_blank\" rel=\"noopener\">eLife Digest<\/a>. We identified a homeostatic role for Bid in the regulation of mitochondrial structure and function with implications for human cardiac disease, combining cell biology and human genetic studies and observations in a model system. Bid-\/- mice hearts have increased fibrotic damage after acute stress, similar to post-myocardial-infarction damage observed in human patients. Proteomics studies suggest a possible defect in mitochondrial respiratory chain function. Through immunoprecipitation, Bid binds the matrix form of Mcl-1 (previously implicated in cristae stability), which can be altered with helix-6 mutant M148T (nonsynonymous variation in Bid\u2019s membrane binding domain).<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2015\/01\/ClareHall_Logo.png\" alt=\"ClareHall_Logo\" border=\"3\" \/>Dr Gamazon is now a Life Member of Clare Hall, a graduate college devoted to advanced studies within the University of Cambridge. Life Member designation allows him to return to the college at any time to participate in its intellectual life, facilitating his extensive research collaborations within the university.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/1Dkkh8NBG-GM__oBU7Ut0-Br2OiLIt4hPbD2VqQdJwJyxT9SSfCqWxqMo-W1.jpg\" alt=\"1Dkkh8NBG-GM__oBU7Ut0-Br2OiLIt4hPbD2VqQdJwJyxT9SSfCqWxqMo-W1\" width=\"150\" border=\"3\" \/>Dr Pat Evans is presenting our research in a platform presentation at the <a href=\"https:\/\/eventpilot.us\/web\/page.php?page=IntHtml&amp;project=ASHG18&amp;id=180122003\" target=\"_blank\" rel=\"noopener\">American Society of Human Genetics 2018 meeting<\/a> in San Diego, CA.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/FRSB_Logo3.jpg\" alt=\"FRSB_Logo\" width=\"150\" border=\"3\" \/>Dr Gamazon was elected Fellow of the Royal Society of Biology in July 2018.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/Diabetes.July2018.cover-source.jpg\" width=\"150\" height=\"197\" border=\"3\" \/>On the July cover of <i>Diabetes<\/i> is a micrograph showing cross-section of mouse gastrocnemius muscle stained for CD36 protein (red). Image courtesy of Dmitri Samovski. Our paper with Dmitri, \u201c<a href=\"http:\/\/www.google.com\/url?q=http%3A%2F%2Fdiabetes.diabetesjournals.org%2Fcontent%2F67%2F7%2F1272&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNF6Dc5Crrcg-81UTcFPFm-AG1EUDA\" target=\"_blank\" rel=\"noopener\">Regulation of Insulin Receptor Pathway and Glucose Metabolism by CD36 Signaling<\/a>,\u201d appears in this issue.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/fbaxo-TLmPtFrzyDoSGYmWRfwidVr8JrJpzfg8dnvbOywoEGHyPNmXMpyew.png\" alt=\"_fbaxo-TLmPtFrzyDoSGYmWRfwidVr8JrJpzfg8dnvbOywoEGHyPNmXMpyew\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"https:\/\/www.nature.com\/articles\/s41588-018-0154-4\" target=\"_blank\" rel=\"nofollow noopener\">Using an atlas of gene regulation across 44 human tissues to illuminate complex disease- and trait-associated variation<\/a> is out in <i>Nature Genetics<\/i>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2015\/01\/ClareHall_Logo.png\" alt=\"ClareHall_Logo\" border=\"3\" \/>Dr Gamazon has been elected to a Clare Hall Visiting Fellowship to advance his research and mentor graduate students in the University of Cambridge. Fellows become Life Members of Clare Hall, Cambridge.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/UCambridge.png\" alt=\"UCambridge\" border=\"3\" \/>Dr Gamazon is a visiting researcher (Department of Medicine, MRC Biostatistics Unit, MRC Epidemiology Unit) in the University of Cambridge for much of the Lent and Easter term (2018).<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/4XDf-FAwkzXTdkecvanWOb_kpScUySr2E88mBRKWGnNsPxQL5pl1EEVw0Wi_.jpg\" alt=\"4XDf-FAwkzXTdkecvanWOb_kpScUySr2E88mBRKWGnNsPxQL5pl1EEVw0Wi_\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"https:\/\/www.nature.com\/nature\/journal\/v550\/n7675\/pdf\/nature24277.pdf\" target=\"_blank\" rel=\"noopener\">Genetic effects on gene expression across human tissues<\/a> is out in <i>Nature<\/i>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/ASHG_2017.jpg\" alt=\"ASHG_2017\" width=\"150\" height=\"197\" border=\"3\" \/>Our abstract has been accepted for a platform presentation at the <a href=\"http:\/\/www.ashg.org\/2017meeting\/abstracts\/assignments\/G.shtml\" target=\"_blank\" rel=\"noopener\">American Society of Human Genetics 2017 Meeting<\/a> in Orlando, Florida (Session #60: Transcriptomics in Complex Neurological\/Neuropsychiatric Disease).<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/JAMA_Oncology.jpg\" alt=\"JAMA_Oncology\" width=\"150\" border=\"3\" \/><a href=\"https:\/\/jamanetwork.com\/journals\/jamaoncology\/fullarticle\/10.1001\/jamaoncol.2017.0595\" target=\"_blank\" rel=\"nofollow noopener\">Comparison of Breast Cancer Molecular Features and Survival by African and European Ancestry in The Cancer Genome Atlas<\/a> is out in <i>JAMA Oncology<\/i>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/7JuLwXGG-zQOkQM0vWbZGitI4ekSr1bnUdjt3ksAtCdn91rc7hb8UHqzYpm7.jpg\" alt=\"7JuLwXGG-zQOkQM0vWbZGitI4ekSr1bnUdjt3ksAtCdn91rc7hb8UHqzYpm7\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"http:\/\/www.nature.com\/nature\/journal\/v540\/n7631\/full\/nature19838.html\" target=\"_blank\" rel=\"noopener\">Consistency in large pharmacogenomic studies<\/a> is out in <em>Nature<\/em>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/2R5Usk9XS0kHSiZ6uDaiPZ_Lx5BqJMIlSljCtjYgRvPGCgzItFgnjDIyxl3s.jpg\" alt=\"2R5Usk9XS0kHSiZ6uDaiPZ_Lx5BqJMIlSljCtjYgRvPGCgzItFgnjDIyxl3s\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"https:\/\/www.nature.com\/articles\/nature18642\" target=\"_blank\" rel=\"nofollow noopener\">The genetic architecture of type 2 diabetes<\/a> is out in <i>Nature<\/i>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/DNA_Blue-300x196.jpg\" alt=\"DNA_Blue\" width=\"150\" border=\"3\" \/>Super excited about teaching for <a href=\"https:\/\/statgen.research.bcm.edu\/index.php\/Advgenemap2016\" target=\"_blank\" rel=\"nofollow noopener\">Advanced Gene Mapping Course 2016<\/a> at Rockefeller University.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/1pQB3EllUBX4zjsDOiA-s8ophTvCYU2LRXxr8kd2eIazi36LA9-FoegNb-dd.gif\" alt=\"1pQB3EllUBX4zjsDOiA-s8ophTvCYU2LRXxr8kd2eIazi36LA9-FoegNb-dd\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"https:\/\/www.nature.com\/articles\/ng.3367\" target=\"_blank\" rel=\"nofollow noopener\">A gene-based association method for mapping traits using reference transcriptome data<\/a> came out in <i>Nature Genetics <\/i>(2015). <span class=\"C9DxTc \">This study develops the first transcriptome-wide association study (TWAS) methodology.<\/span><\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/fBcPG1V3gcqkUd4anh1Ae8icC6DwbK7ILAOb3lj3Acd5P-slssAgShqriIE2-236x300.gif\" alt=\"fBcPG1V3gcqkUd4anh1Ae8icC6DwbK7ILAOb3lj3Acd5P-slssAgShqriIE2\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"http:\/\/www.sciencemag.org\/content\/348\/6235\/648.abstract\" target=\"_blank\" rel=\"nofollow noopener\">The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans<\/a> from the GTEx Consortium, of which I am a member, is finally out in <a href=\"http:\/\/www.sciencemag.org\/\" target=\"_blank\" rel=\"nofollow noopener\"><i>Science<\/i><\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/1TFs5U1MKYfY7lb6-RKtVDP6DLADJQhTNbzg4_9K3EKuY-HBImsXu63LnP0Z.gif\" alt=\"1TFs5U1MKYfY7lb6-RKtVDP6DLADJQhTNbzg4_9K3EKuY-HBImsXu63LnP0Z\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"http:\/\/www.cell.com\/ajhg\/abstract\/S0002-9297%2814%2900392-9\" target=\"_blank\" rel=\"nofollow noopener\">Structural Architecture of SNP Effects on Complex Traits<\/a> came out in the <em>American Journal of Human Genetics<\/em>. Read <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0002929714004315\" target=\"_blank\" rel=\"nofollow noopener\">AJHG Editors\u2019 Corner<\/a>.<\/li>\n<\/ul>\n<ul>\n<li style=\"vertical-align: middle;border: solid 1px white;padding: 2em\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft\" src=\"https:\/\/cdn.vanderbilt.edu\/t2-my\/my-prd\/wp-content\/uploads\/sites\/1706\/2016\/11\/1TFs5U1MKYfY7lb6-RKtVDP6DLADJQhTNbzg4_9K3EKuY-HBImsXu63LnP0Z.gif\" alt=\"1TFs5U1MKYfY7lb6-RKtVDP6DLADJQhTNbzg4_9K3EKuY-HBImsXu63LnP0Z\" width=\"150\" height=\"197\" border=\"3\" \/><a href=\"http:\/\/www.cell.com\/ajhg\/abstract\/S0002-9297%2814%2900423-6\" target=\"_blank\" rel=\"nofollow noopener\">Cross-Tissue and Tissue-Specific eQTLs: Partitioning the Heritability of a Complex Trait<\/a> came out in the <em>American Journal of Human Genetics<\/em>. Read <a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S0002929714004315\" target=\"_blank\" rel=\"nofollow noopener\">AJHG Editors\u2019 Corner<\/a>.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Our study quantified &gt;5,000 circulating proteins across two randomized clinical trials of rehabilitation in heart failure with preserved ejection fraction (HFpEF; REHAB-HF, SECRET-II), identifying proteins associated with prognostic measures of physical function and protein changes after rehabilitation. Using an agentic AI approach, we identified biologically plausible networks central to this \u201cphysical function proteome.\u201d The agentic&#8230;<\/p>\n","protected":false},"author":3547,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"tags":[],"class_list":["post-177","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/my.vanderbilt.edu\/ericgamazon\/wp-json\/wp\/v2\/pages\/177","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/my.vanderbilt.edu\/ericgamazon\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/my.vanderbilt.edu\/ericgamazon\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/ericgamazon\/wp-json\/wp\/v2\/users\/3547"}],"replies":[{"embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/ericgamazon\/wp-json\/wp\/v2\/comments?post=177"}],"version-history":[{"count":301,"href":"https:\/\/my.vanderbilt.edu\/ericgamazon\/wp-json\/wp\/v2\/pages\/177\/revisions"}],"predecessor-version":[{"id":1419,"href":"https:\/\/my.vanderbilt.edu\/ericgamazon\/wp-json\/wp\/v2\/pages\/177\/revisions\/1419"}],"wp:attachment":[{"href":"https:\/\/my.vanderbilt.edu\/ericgamazon\/wp-json\/wp\/v2\/media?parent=177"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/my.vanderbilt.edu\/ericgamazon\/wp-json\/wp\/v2\/tags?post=177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}