Publications

Chen H, Malzahn D, Balliu B, Li C, Bailey JN. Testing genetic association with rare and common variants in family data. Genetic Epidemiology 2014, 38 (S1): S37-43

Chen H, Meigs JB, Dupuis J. Incorporating gene-environment interaction in testing for association with rare genetic variants. Human Heredity 2014, 78 (2): 81-90 [software]

Chen H, Choi SH, Hong J, Lu C, Milton JN, Allard C, Lacey SM, Lin H, Dupuis J. Rare genetic variant analysis on blood pressure in related samples. BMC Proceedings 2014, 8 (S1): S35

Chen H, Lumley T, Brody J, Heard-Costa NL, Fox CS, Cupples LA, Dupuis J. Sequence kernel association test for survival traitsGenetic Epidemiology 2014, 38 (3): 191-197

Chen H, Meigs JB, Dupuis J. Sequence kernel association test for quantitative traits in family samples. Genetic Epidemiology 2013, 37 (2): 196-204 [R code]

Chen H, Manning AK, Dupuis J. A method of moments estimator for random effect multivariate meta-analysis. Biometrics 2012, 68 (4): 1278-1284 [software]

Chen H, Hendricks AE, Cheng Y, Cupples AL, Dupuis J, Liu CT. Comparison of statistical approaches to rare variant analysis for quantitative traitsBMC Proceedings 2011, 5 (S9): S113

Lin H, Wang M, Brody JA, Bis JC, Dupuis J, Lumley T, McKnight B, Rice K, Sitlani CM, Reid JG, …, Wu Y, Newsham I, Chen H, Broka A, DeStefano AL, …. Strategies to design and analyze targeted sequencing data: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) targeted sequencing study. Circulation: Cardiovascular Genetics 2014, 7(3): 335-343

DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Asian Genetic Epidemiology Network Type 2 Diabetes (AGEN-T2D) Consortium, South Asian Type 2 Diabetes (SAT2D) Consortium, Mexican American Type 2 Diabetes (MAT2D) Consortium, Type 2 Diabetes Genetic Exploration by Next-generation sequencing in multi-Ethnic Samples (T2D-GENES) Consortium, Mahajan A, Go MJ, Zhang W, Below JE, Gaulton KJ, …, Charpentier G, Chen CH, Chen H, Chen YT, Chia KS, …. Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nature Genetics 2014, 46(3): 234-244

Scott RA, Lagou V, Welch RP, Wheeler E, Montasser ME, Luan J, Mägi R, Strawbridge RJ, Rehnberg E, Gustafsson S, …, Voight BF, Raychaudhuri S, Chen H, Lindgren CM, Morris AP, …. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nature Genetics 2012, 44(9): 991-1005

Morris AP, Voight BF, Teslovich TM, Ferreira T, Segrè AV, Steinthorsdottir V, Strawbridge RJ, Khan H, Grallert H, Mahajan A, …, Loos RJ, Vedantam S, Chen H, Florez JC, Fox C, …. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Nature Genetics 2012, 44(9): 981-990

Manning AK, Hivert MF, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, Rybin D, Liu CT, Bielak LF, Amin N, …. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistanceNature Genetics 2012, 44 (6): 659-669

Scott RA, Chu AY, Grarup N, Manning AK, Hivert MF, Shungin D, Tönjes A, Yesupriya A, Barnes D, Bouatia-Naji N, …, Brage S, Carlson OD, Chen H, Chen YDI, Chines PS, …. No interactions between previously associated 2-hour glucose gene variants and physical activity or BMI on 2-hour glucose levels. Diabetes 2012, 61 (5): 1291-1296

Strawbridge RJ, Dupuis J, Prokopenko I, Barker A, Ahlqvist E, Rybin D, Petrie JR, Travers ME, Bouatia-Naji N, Dimas AS, Nica A, Wheeler E, Chen H, Voight BF, Taneera J, …. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes. Diabetes 2011, 60 (10): 2624-2634