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Scientific Reports|January 20, 2016
Meta-analysis of lipid-traits in Hispanics identifies novel loci, population-specific effects, and tissue-specific enrichment of eQTLsJennifer E Below, Esteban J Parra, Eric R Gamazon, et al.Plos One|May 17, 2023
Multi-ancestry genome- and phenome-wide association studies of diverticular disease in electronic health records with natural language processing enriched phenotyping algorithmYoonjung Yoonie Joo, Jennifer A Pacheco, William K Thompson, et al.The New England Journal of Medicine|March 3, 2016
Inactivating Variants in ANGPTL4 and Risk of Coronary Artery DiseaseFrederick E Dewey, Viktoria Gusarova, Colm O'Dushlaine, et al.International Journal of Biomedical Data Mining|April 8, 2016
ePhenotyping for Abdominal Aortic Aneurysm in the Electronic Medical Records and Genomics (eMERGE) Network: Algorithm Development and Konstanz Information Miner WorkflowKenneth M Borthwick, Diane T Smelser, Jonathan A Bock, et al.Science (New York, N.Y.)|December 24, 2016
Genetic identification of familial hypercholesterolemia within a single U.S. health care systemNoura S Abul-Husn, Kandamurugu Manickam, Laney K Jones, et al.Elife|September 13, 2017
Genetic identification of a common collagen disease in puerto ricans via identity-by-descent mapping in a health systemGillian Morven Belbin, Jacqueline Odgis, Elena P Sorokin, et al.Genetics in Medicine : Official Journal of the American College of Medical Genetics|June 8, 2013
The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and futureOmri Gottesman, Helena Kuivaniemi, Gerard Tromp, et al.Human Molecular Genetics|March 1, 2013
Genome-wide association analysis of red blood cell traits in African Americans: the COGENT NetworkZhao Chen, Hua Tang, Rehan Qayyum, et al.American Journal of Human Genetics|September 15, 2015
Penetrance of Hemochromatosis in HFE Genotypes Resulting in p.Cys282Tyr and p.[Cys282Tyr];[His63Asp] in the eMERGE NetworkCarlos J Gallego, Amber Burt, Agnes S Sundaresan, et al.American Journal of Human Genetics|January 2, 2018
Genome-wide Study of Atrial Fibrillation Identifies Seven Risk Loci and Highlights Biological Pathways and Regulatory Elements Involved in Cardiac DevelopmentJonas B Nielsen, Lars G Fritsche, Wei Zhou, et al.Pageof 7