1/19/2024 0 Comments Jing chen highland utah![]() Sequence kernel association test for quantitative traits in family samples. A method of moments estimator for random effect multivariate meta-analysis. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Scott RA, Lagou V, Welch RP, Wheeler E, Montasser ME, Luan J, Mägi R, Strawbridge RJ, Rehnberg E, Gustafsson S, Kanoni S, Rasmussen-Torvik LJ, Yengo L, Lecoeur C, Shungin D, Sanna S, Sidore C, Johnson PC, Jukema JW, Johnson T, Mahajan A, Verweij N, Thorleifsson G, Hottenga JJ, Shah S, Smith AV, Sennblad B, Gieger C, Salo P, Perola M, Timpson NJ, Evans DM, Pourcain BS, Wu Y, Andrews JS, Hui J, Bielak LF, Zhao W, Horikoshi M, Navarro P, Isaacs A, O'Connell JR, Stirrups K, Vitart V, Hayward C, Esko T, Mihailov E, Fraser RM, Fall T, Voight BF, Raychaudhuri S, Chen H et al. Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes. Morris AP, Voight BF, Teslovich TM, Ferreira T, Segrè AV, Steinthorsdottir V, Strawbridge RJ, Khan H, Grallert H, Mahajan A, Prokopenko I, Kang HM, Dina C, Esko T, Fraser RM, Kanoni S, Kumar A, Lagou V, Langenberg C, Luan J, Lindgren CM, Müller-Nurasyid M, Pechlivanis S, Rayner NW, Scott LJ, Wiltshire S, Yengo L, Kinnunen L, Rossin EJ, Raychaudhuri S, Johnson AD, Dimas AS, Loos RJ, Vedantam S, Chen H et al. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Manning AK, Hivert MF, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, Rybin D, Liu CT, Bielak LF, Prokopenko I et al. ![]() No interactions between previously associated 2-hour glucose gene variants and physical activity or BMI on 2-hour glucose levels. Scott RA, Chu AY, Grarup N, Manning AK, Hivert MF, Shungin D, Tönjes A, Yesupriya A, Barnes D, Bouatia-Naji N, Glazer NL, Jackson AU, Kutalik Z, Lagou V, Marek D, Rasmussen-Torvik LJ, Stringham HM, Tanaka T, Aadahl M, Arking DE, Bergmann S, Boerwinkle E, Bonnycastle LL, Bornstein SR, Brunner E, Bumpstead SJ, Brage S, Carlson OD, Chen H et al. Comparison of statistical approaches to rare variant analysis for quantitative traits. Chen H *, Hendricks AE *, Cheng Y, Cupples AL, Dupuis J, Liu CT. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes. 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 et al. In “Assessing Rare Variation in Complex Traits: Design and Analysis of Genetic Studies”, edited by Zeggini E, Morris A. Rare Variant Association Analysis: Beyond Collapsing Approaches (Chapter 11, pages 149-167). BS, Biological Sciences, 2007, Tsinghua University.MA, Statistics, 2009, Columbia University.PhD, Biostatistics, 2013, Boston University.Together, we can better understand, treat and prevent complex diseases and improve human health.” I am excited about the development of statistical methods and computational tools that can be applied to big data research. “Precision medicine research involves multi-disciplinary collaboration between bioinformaticians, biostatisticians, epidemiologists and physicians.” Chen said, “With the advance of technology, we are generating and collecting huge amount of data every day. In 2015, Chen received an NIH Pathway to Independence Award (K99/R00) from the National Heart, Lung, and Blood Institute. ![]() His current research projects include: 1) Computationally efficient statistical association tests to account for population structure and relatedness in large-scale multi-ethnic sequencing studies 2) Gene-environment and gene-treatment interaction tests for epidemiological and pharmacogenomic studies and 3) Genetic epidemiological studies on complex heritable human diseases, such as obstructive sleep apnea. ![]() in biostatistics from Boston University School of Public Health in 2013.Ĭhen’s research interests mainly focus on statistical genetics and genomics, including computational methods for analyzing large-scale sequencing data, parametric and semiparametric statistical models for correlated data analysis, rare genetic variant association analysis, meta-analysis, gene-environment interactions, with applications to complex disease genetics. in statistics from Columbia University in 2009, and Ph.D. in biological sciences from Tsinghua University in 2007, M.A. Before joining UTHealth, Chen was a postdoctoral research fellow in the Department of Biostatistics at Harvard T.H. Chen holds a joint appointment with SBMI and UTHealth’s School of Public Health. became an assistant professor at the UTHealth on December 1, 2016. Joint appointment with the School of Public Health ![]()
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