Center-Authored Papers

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McDavid A, Crane PK, Newton KM, Crosslin DR, McCormick W, Weston N, Ehrlich K, Hart E, Harrison R, Kukull WA et al..  2013.  Enhancing the power of genetic association studies through the use of silver standard cases derived from electronic medical records.. PloS one. 8(6):e63481. Abstract
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Joshi AD, Andersson C, Buch S, Stender S, Noordam R, Weng L-C, Weeke PE, Auer PL, Boehm B, Chen C et al..  2016.  Four Susceptibility Loci for Gallstone Disease Identified in a Meta-analysis of Genome-wide Association Studies.. Gastroenterology. 151(2):351-363. Abstract
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Pattaro C, Teumer A, Gorski M, Chu AY, Li M, Mijatovic V, Garnaas M, Tin A, Sorice R, Li Y et al..  2016.  Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.. Nature communications. 7:10023. Abstract
Ritchie MD, Denny JC, Zuvich RL, Crawford DC, Schildcrout JS, Bastarache L, Ramirez AH, Mosley JD, Pulley JM, Basford MA et al..  2013.  Genome- and phenome-wide analyses of cardiac conduction identifies markers of arrhythmia risk.. Circulation. 127(13):1377-85. Abstract
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Rasmussen-Torvik LJ, Pacheco JA, Wilke RA, Thompson WK, Ritchie MD, Kho AN, Muthalagu A, Hayes GM, Armstrong LL, Scheftner DA et al..  2012.  High density GWAS for LDL cholesterol in African Americans using electronic medical records reveals a strong protective variant in APOE.. Clinical and translational science. 5(5):394-9. Abstract
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Stitziel NO, Won H-H, Morrison AC, Peloso GM, Do R, Lange LA, Fontanillas P, Gupta N, Duga S, Goel A et al..  2014.  Inactivating mutations in NPC1L1 and protection from coronary heart disease.. The New England journal of medicine. 371(22):2072-82. Abstract
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Christophersen IE, Rienstra M, Roselli C, Yin X, Geelhoed B, Barnard J, Lin H, Arking DE, Smith AV, Albert CM et al..  2017.  Large-scale analyses of common and rare variants identify 12 new loci associated with atrial fibrillation.. Nature genetics. 49(6):946-952. Abstract
Tajuddin SM, Schick UM, Eicher JD, Chami N, Giri A, Brody JA, Hill DW, Kacprowski T, Li J, Lyytikäinen L-P et al..  2016.  Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases.. American journal of human genetics. Abstract
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Schmidt AF, Swerdlow DI, Holmes MV, Patel RS, Fairhurst-Hunter Z, Lyall DM, Hartwig FP, Horta BL, Hyppönen E, Power C et al..  2016.  PCSK9 genetic variants and risk of type 2 diabetes: a mendelian randomisation study.. The lancet. Diabetes & endocrinology. Abstract
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Fullerton SM, Wolf WA, Brothers KB, Clayton EW, Crawford DC, Denny JC, Greenland P, Koenig BA, Leppig KA, Lindor NM et al..  2012.  Return of individual research results from genome-wide association studies: experience of the Electronic Medical Records and Genomics (eMERGE) Network.. Genetics in medicine : official journal of the American College of Medical Genetics. Abstract
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Liang J, Le TH, Edwards DVR, Tayo BO, Gaulton KJ, Smith JA, Lu Y, Jensen RA, Chen G, Yanek LR et al..  2017.  Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.. PLoS genetics. 13(5):e1006728. Abstract
Li M, Li Y, Weeks O, Mijatovic V, Teumer A, Huffman JE, Tromp G, Fuchsberger C, Gorski M, Lyytikäinen L-P et al..  2016.  SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function.. Journal of the American Society of Nephrology : JASN. Abstract
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Kho AN, Hayes GM, Rasmussen-Torvik L, Pacheco JA, Thompson WK, Armstrong LL, Denny JC, Peissig PL, Miller AW, Wei W-Q et al..  2012.  Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study.. Journal of the American Medical Informatics Association : JAMIA. 19(22):212-218. Abstract