Publications

Rozowsky J, Gao J, Borsari B, Yang YT, Galeev T, Gürsoy G, Epstein CB, Xiong K, Xu J, Li T, Liu J, Yu K, Berthel A, Chen Z, Navarro F, Sun MS, Wright J, Chang J, Cameron CJF, Shoresh N, Gaskell E, Drenkow J, Adrian J, Aganezov S, Aguet F, Balderrama-Gutierrez G, Banskota S, Corona GBarreto, Chee S, Chhetri SB, Martins GConte Cort, Danyko C, Davis CA, Farid D, Farrell NP, Gabdank I, Gofin Y, Gorkin DU, Gu M, Hecht V, Hitz BC, Issner R, Jiang Y, Kirsche M, Kong X, Lam BR, Li S, Li B, Li X, Lin KZin, Luo R, Mackiewicz M, Meng R, Moore JE, Mudge J, Nelson N, Nusbaum C, Popov I, Pratt HE, Qiu Y, Ramakrishnan S, Raymond J, Salichos L, Scavelli A, Schreiber JM, Sedlazeck FJ, See LHoon, Sherman RM, Shi X, Shi M, Sloan CAlicia, J Strattan S, Tan Z, Tanaka FY, Vlasova A, Wang J, Werner J, Williams B, Xu M, Yan C, Yu L, Zaleski C, Zhang J, Ardlie K, J Cherry M, Mendenhall EM, Noble WS, Weng Z, Levine ME, Dobin A, Wold B, Mortazavi A, Ren B, Gillis J, Myers RM, Snyder MP, Choudhary J, Milosavljevic A, Schatz MC, Bernstein BE, Guigó R, Gingeras TR, Gerstein M. The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models. Cell. 2023 ;186(7):1493-1511.e40.

Zhang F, Boerwinkle E, Xiong M. Epistasis analysis for quantitative traits by functional regression model. Genome Res. 2014 ;24(6):989-98.

Huang W, Richards S, Carbone MAnna, Zhu D, Anholt RRH, Ayroles JF, Duncan L, Jordan KW, Lawrence F, Magwire MM, Warner CB, Blankenburg K, Han Y, Javaid M, Jayaseelan J, Jhangiani SN, Muzny D, Ongeri F, Perales L, Wu Y-Q, Zhang Y, Zou X, Stone EA, Gibbs RA, Mackay TFC. Epistasis dominates the genetic architecture of Drosophila quantitative traits. Proc Natl Acad Sci U S A. 2012 ;109(39):15553-9.

Liu X, Fu Y-X, Maxwell TJ, Boerwinkle E. Estimating population genetic parameters and comparing model goodness-of-fit using DNA sequences with error. Genome Res. 2010 ;20(1):101-9.

Bonnen PE, Pe'er I, Plenge RM, Salit J, Lowe JK, Shapero MH, Lifton RP, Breslow JL, Daly MJ, Reich DE, Jones KW, Stoffel M, Altshuler D, Friedman JM. Evaluating potential for whole-genome studies in Kosrae, an isolated population in Micronesia. Nat Genet. 2006 ;38(2):214-7.

Kim M-S, Jeong J, Majewski T, Kram A, Yoon D-S, Zhang R-D, Li J-Z, Ptaszynski K, Kuang TC, Zhou J-H, Sathyanarayana UG, Tuziak T, Johnston DA, Grossman HB, Gazdar AF, Scherer SE, Benedict WF, Czerniak B. Evidence for alternative candidate genes near RB1 involved in clonal expansion of in situ urothelial neoplasia. Lab Invest. 2006 ;86(2):175-90.

Fuller ZL, Haynes GD, Zhu D, Batterton M, Chao H, Dugan S, Javaid M, Jayaseelan JC, Lee S, Li M, Ongeri F, Qi S, Han Y, Doddapaneni H, Richards S, Schaeffer SW. Evidence for stabilizing selection on codon usage in chromosomal rearrangements of Drosophila pseudoobscura. G3 (Bethesda). 2014 ;4(12):2433-49.

Cole SA, Butte NF, V Voruganti S, Cai G, Haack K, Kent JW, Blangero J, Comuzzie AG, McPherson JD, Gibbs RA. Evidence that multiple genetic variants of MC4R play a functional role in the regulation of energy expenditure and appetite in Hispanic children. Am J Clin Nutr. 2010 ;91(1):191-9.

Rhee EP, Yang Q, Yu B, Liu X, Cheng S, Deik A, Pierce KA, Bullock K, Ho JE, Levy D, Florez JC, Kathiresan S, Larson MG, Vasan RS, Clish CB, Wang TJ, Boerwinkle E, O'Donnell CJ, Gerszten RE. An exome array study of the plasma metabolome. Nat Commun. 2016 ;7:12360.

Wang H, Chen X, Dudinsky L, Patenia C, Chen Y, Li Y, Wei Y, Abboud EB, Al-Rajhi AA, Lewis RAlan, Lupski JR, Mardon G, Gibbs RA, Perkins BD, Chen R. Exome capture sequencing identifies a novel mutation in BBS4. Mol Vis. 2011 ;17:3529-40.

Charng W-L, Karaca E, Akdemir ZCoban, Gambin T, Atik MM, Gu S, Posey JE, Jhangiani SN, Muzny DM, Doddapaneni H, Hu J, Boerwinkle E, Gibbs RA, Rosenfeld JA, Cui H, Xia F, Manickam K, Yang Y, Faqeih EA, Asmari AAl, Saleh MAM, El-Hattab AW, Lupski JR. Exome sequencing in mostly consanguineous Arab families with neurologic disease provides a high potential molecular diagnosis rate. BMC Med Genomics. 2016 ;9(1):42.

Klassen T, Davis C, Goldman A, Burgess D, Chen T, Wheeler D, McPherson J, Bourquin T, Lewis L, Villasana D, Morgan M, Muzny D, Gibbs R, Noebels J. Exome sequencing of ion channel genes reveals complex profiles confounding personal risk assessment in epilepsy. Cell. 2011 ;145(7):1036-48.

Fan X, Zhao S, Yu C, Wu D, Yan Z, Fan L, Song Y, Wang Y, Li C, Ming Y, Gui B, Niu Y, Li X, Yang X, Luo S, Zhang Q, Zhao X, Pan H, Li M, Xia W, Qiu G, Liu P, Zhang S, Zhang J, Wu Z, Lupski JR, Posey JE, Chen S, Gong C, Wu N. Exome sequencing reveals genetic architecture in patients with isolated or syndromic short stature. J Genet Genomics. 2021 ;48(5):396-402.

Sabo A, Mishra P, Dugan-Perez S, V Voruganti S, Kent JW, Kalra D, Cole SA, Comuzzie AG, Muzny DM, Gibbs RA, Butte NF. Exome sequencing reveals novel genetic loci influencing obesity-related traits in Hispanic children. Obesity (Silver Spring). 2017 ;25(7):1270-1276.

Li H, Dawood M, Khayat MM, Farek JR, Jhangiani SN, Khan ZM, Mitani T, Coban-Akdemir Z, Lupski JR, Venner E, Posey JE, Sabo A, Gibbs RA. Exome variant discrepancies due to reference-genome differences. Am J Hum Genet. 2021 ;108(7):1239-1250.

Fornage M, Mosley TH, Jack CR, de Andrade M, Kardia SLR, Boerwinkle E, Turner ST. Family-based association study of matrix metalloproteinase-3 and -9 haplotypes with susceptibility to ischemic white matter injury. Hum Genet. 2007 ;120(5):671-80.

Bressler J, Fornage M, Demerath EW, Knopman DS, Monda KL, North KE, Penman A, Mosley TH, Boerwinkle E. Fat mass and obesity gene and cognitive decline: the Atherosclerosis Risk in Communities Study. Neurology. 2013 ;80(1):92-9.

Howson JMM, Zhao W, Barnes DR, Ho W-K, Young R, Paul DS, Waite LL, Freitag DF, Fauman EB, Salfati EL, Sun BB, Eicher JD, Johnson AD, Sheu WHH, Nielsen SF, Lin W-Y, Surendran P, Mälarstig A, Wilk JB, Tybjærg-Hansen A, Rasmussen KL, Kamstrup PR, Deloukas P, Erdmann J, Kathiresan S, Samani NJ, Schunkert H, Watkins H, Do R, Rader DJ, Johnson JA, Hazen SL, Quyyumi AA, Spertus JA, Pepine CJ, Franceschini N, Justice A, Reiner AP, Buyske S, Hindorff LA, Carty CL, North KE, Kooperberg C, Boerwinkle E, Young K, Graff M, Peters U, Absher D, Hsiung CA, Lee W-J, Taylor KD, Chen Y-H, Lee I-T, Guo X, Chung R-H, Hung Y-J, Rotter JI, Juang J-MJ, Quertermous T, Wang T-D, Rasheed A, Frossard P, Alam DS, Majumder AAl Shafi, Di Angelantonio E, Chowdhury, iv R, Chen Y-DIda, Nordestgaard BG, Assimes TL, Danesh J, Butterworth AS, Saleheen D. Fifteen new risk loci for coronary artery disease highlight arterial-wall-specific mechanisms. Nat Genet. 2017 ;49(7):1113-1119.

Wang M, Zhang Z, Zhang Z, Vikis H, Yan Y, Wang Y, You M. Fine mapping and candidate gene analyses of pulmonary adenoma resistance 1, a major genetic determinant of mouse lung adenoma resistance. Cancer Res. 2007 ;67(6):2508-16.

Wang M, Lemon WJ, Liu G, Wang Y, Iraqi FA, Malkinson AM, You M. Fine mapping and identification of candidate pulmonary adenoma susceptibility 1 genes using advanced intercross lines. Cancer Res. 2003 ;63(12):3317-24.

You M, Wang D, Liu P, Vikis H, James M, Lu Y, Wang Y, Wang M, Chen Q, Jia D, Liu Y, Wen W, Yang P, Sun Z, Pinney SM, Zheng W, Shu X-O, Long J, Gao Y-T, Xiang Y-B, Chow W-H, Rothman N, Petersen GM, de Andrade M, Wu Y, Cunningham JM, Wiest JS, Fain PR, Schwartz AG, Girard L, Gazdar A, Gaba C, Rothschild H, Mandal D, Coons T, Lee J, Kupert E, Seminara D, Minna J, Bailey-Wilson JE, Amos CI, Anderson MW. Fine mapping of chromosome 6q23-25 region in familial lung cancer families reveals RGS17 as a likely candidate gene. Clin Cancer Res. 2009 ;15(8):2666-74.

Huang J, Wang K, Wei P, Liu X, Liu X, Tan K, Boerwinkle E, Potash JB, Han S. FLAGS: A Flexible and Adaptive Association Test for Gene Sets Using Summary Statistics. Genetics. 2016 ;202(3):919-29.

Boerwinkle E, Heckbert SR. Following-up genome-wide association study signals: lessons learned from Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. Circ Cardiovasc Genet. 2014 ;7(3):332-4.

Yap ZYie, Park YHan, Wortmann SB, Gunning AC, Ezer S, Lee S, Duraine L, Wilichowski E, Wilson K, Mayr JA, Wagner M, Li H, Kini U, Black EDavis, Monaghan KG, Lupski JR, Ellard S, Westphal DS, Harel T, Yoon WHee. Functional interpretation of ATAD3A variants in neuro-mitochondrial phenotypes. Genome Med. 2021 ;13(1):55.

Petty LE, Highland HM, Gamazon ER, Hu H, Karhade M, Chen H-H, de Vries PS, Grove ML, Aguilar D, Bell GI, Huff CD, Hanis CL, Doddapaneni H, Munzy DM, Gibbs RA, Ma J, Parra EJ, Cruz M, Valladares-Salgado A, Arking DE, Barbeira A, Im HKyung, Morrison AC, Boerwinkle E, Below JE. Functionally oriented analysis of cardiometabolic traits in a trans-ethnic sample. Hum Mol Genet. 2019 ;28(7):1212-1224.