Han Chen, Ph.D. became an assistant professor at the UTHealth on December 1, 2016. Chen holds a joint appointment with SBMI and UTHealth’s School of Public Health. Before joining UTHealth, Chen was a postdoctoral research fellow in the Department of Biostatistics at Harvard T.H. Chan School of Public Health. Prior to that, Chen received his B.S. in biological sciences from Tsinghua University in 2007, M.A. in statistics from Columbia University in 2009, and Ph.D. in biostatistics from Boston University School of Public Health in 2013.

Chen’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. 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 2015, Chen received an NIH Pathway to Independence Award (K99/R00) from the National Heart, Lung, and Blood Institute.

“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. I am excited about the development of statistical methods and computational tools that can be applied to big data research. Together, we can better understand, treat and prevent complex diseases and improve human health.”

教育

• 博士，生物统计学，2013年，波士顿大学
• MA, Statistics, 2009, Columbia University
• BS，生物科学，2007年，Tsinghua大学

专业领域

• 统计遗传学和基因组学
• 相关数据分析
• 高维稀疏数据分析
• 统计计算
• 荟萃分析
• Survival analysis
• 基因环境相互作用
• Genetic epidemiology
• 复杂的遗传人类疾病

Publications

Book Chapters

[1]Chen H，Dupuis J.稀有变体关联分析：超越崩溃的方法（第11章，第149-167页）。在“评估复杂性状的罕见变化：遗传研究的设计和分析”中，由Zeggini E，Morris A. Springer，纽约，2015年（ISBN 978-1-4939-2823-1）编辑。

Peer-Reviewed Journal Publications

[1] 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等。全基因组的关联确定了与禁食二硫磺蛋白水平相关的九种常见变体，并为2型糖尿病的病理生理提供了新的见解。糖尿病2011, 60 (10): 2624-2634.

[2]Chen H^*，Hendricks AE^*, Cheng Y, Cupples AL, Dupuis J, Liu CT. Comparison of statistical approaches to rare variant analysis for quantitative traits.BMC Proceedings2011，5（S9）：S113。

^*同等的贡献

[3] 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等。在2小时的葡萄糖水平上，先前相关的2小时葡萄糖基因变体与体育活动或BMI之间没有相互作用。糖尿病2012，61（5）：1291-1296。

[4] Manning AK，Hivert MF，Scott RA，Grimsby JL，Bouatia-Naji N，Chen H，Rybin D，Liu CT，Bielak LF，Prokopenko I等。A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.自然遗传学2012, 44 (6): 659-669.

[5] 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等。大规模提供insigh关联分析ts into the genetic architecture and pathophysiology of type 2 diabetes.Nature Genetics2012，44（9）：981-990。

[6] 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等。Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.自然遗传学2012, 44 (9): 991-1005.

[7]Chen H, Manning AK, Dupuis J. A method of moments estimator for random effect multivariate meta-analysis.Biometrics2012，68（4）：1278-1284。

[8]Chen H，Meigs JB，Dupuis J.序列内核关联测试家庭样品中定量性状的测试。Genetic Epidemiology2013, 37 (2): 196-204.

[9] 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,在JE下方，Gaulton KJ，Ferreira t，Horikoshi M,Johnson AD,Ng MC,Prokopenko I,Saleheen D,Wang X,Zeggini E, Abecasis GR,Adair LS,Almgren P,Atalay M，Aung T,Baldassarre D，Balkau b，鲍，巴内特·啊，Barroso I,Basit A,是LF，Beilby J，Bell GI, Benediktsson R,伯格曼RN，Boehm BO,Boerwinkle E，Bonnycastle LL,Burtt N,CAI Q，Campbell H,Carey J,Cauchi S,Caulfield M,Chan JC，Chang LC，Chang TJ，Chang YC，Charpentier G，陈Chen H等。全基因组跨术荟萃分析提供了对2型糖尿病易感性的遗传结构的见解。自然遗传学2014, 46 (3): 234-244.

[10]Chen H，Lumley T，Brody J，Heard-Costa NL，Fox CS，Cupples LA，Dupuis J.序列内核协会的生存特征测试。Genetic Epidemiology2014，38（3）：191-197。

[11]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 Proceedings2014, 8 (S1): S35.

[12] Lin H, Wang M, Brody JA, Bis JC, Dupuis J, Lumley T, McKnight B, Rice K, Sitlani CM, Reid JG, Bressler J, Liu X, Davis BC, Johnson AD, O’Donnell CJ, Kovar CL, Dinh H, Wu Y, Newsham I,Chen H等。设计和分析有针对性的测序数据的策略：基因组流行病学（电荷）靶向测序研究的心脏和衰老研究队列。beplay苹果手机能用吗Circulation: Cardiovascular Genetics2014, 7 (3): 335-343.

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

[14]Chen H^*, Malzahn D^*，Balliu B，Li C，Bailey Jn。测试与家庭数据中罕见和常见变异的遗传关联。Genetic Epidemiology2014, 38 (S1): S37-S43.

^*同等的贡献

[15] Gaulton KJ, Ferreira T, Lee Y, Raimondo A, Mägi R, Reschen ME, Mahajan A, Locke A, William Rayner N, Robertson N, Scott RA, Prokopenko I, Scott LJ, Green T, Sparso T, Thuillier D, Yengo L, Grallert H, Wahl S, Frånberg M, Strawbridge RJ, Kestler J, Chheda H, Eisele L, Gustafsson S, Steinthorsdottir V, Thorleifsson G, Qi L, Karssen LC, van Leeuwen EM, Willems SM, Li M,Chen H等。遗传细胞图和基因组注释定义了2型糖尿病易感性基因座的因果机制。自然遗传学2015, 47 (12): 1415-1425.

[16] Lin X, Lee S, Wu MC, Wang C,Chen H, Li Z, Lin X. Test for rare variants by environment interactions in sequencing association studies.Biometrics2016，72（1）：156-164。

[17]Chen H^*, Wang C^*, Conomos MP, Stilp AM, Li Z, Sofer T, Szpiro AA, Chen W, Brehm JM, Celedón JC, Redline S, Papanicolaou GJ, Thornton TA, Laurie CC, Rice K, Lin X. Control for population structure and relatedness for binary traits in genetic association studies via logistic mixed models.美国人类遗传学杂志2016，98（4）：653-666。

^*同等的贡献

[18]霍布斯BD，帕克MM，Chen H，老挝T，Hardin M，Qiao D，Hawrylkiewicz I，Sliwinski P，Yim JJ，Kim WJ等。Exome array analysis identifies a common variant inIL27与慢性阻塞性肺dise有关ase.The American Journal of Respiratory and Critical Care Medicine2016，194（1）：48-57。

[19] Liang J，Cade Be，Wang H，Chen H，Gleason KJ，Larkin EK，Saxena R，Lin X，Redline S，Zhu X.使用主要成分分析的多个性状的遗传力估计和链接分析的比较。Genetic Epidemiology2016，40（3）：222-232。

[20] Fuchsberger C, Flannick J, Teslovich TM, Mahajan A, Agarwala V, Gaulton KJ, Ma C, Fontanillas P, Moutsianas L, McCarthy DJ, Rivas MA, Perry JRB, Sim X, Blackwell TW, Robertson NR, Rayner NW, Cingolani P, Locke AE, Fernandez Tajes J, Highland HM, Dupuis J, Chines PS, Lindgren CM, Hartl C, Jackson AU,Chen H等。2型糖尿病的遗传结构。Nature2016, 536 (7614): 41-47.

[21] Horikoshi M, Pasquali L, Wiltshire S, Huyghe JR, Mahajan A, Asimit JL, Ferreira T, Locke AE, Robertson NR, Wang X, Sim X, Fujita H, Hara K, Young R, Zhang W, Choi S,Chen H等。四型2型糖尿病易感基因座的跨塞术细节突出了潜在的因果调节机制。Human Molecular Genetics2016，25（10）：2070-2081。

[22] Cade BE,Chen H，Stilp AM，Gleason KJ，Sofer T，Ancoli-Israel S，Arens R，Bell GI，JE下方，Bjonnes AC等。Genetic associations with obstructive sleep apnea traits in Hispanic/Latino Americans.The American Journal of Respiratory and Critical Care Medicine2016，194（7）：886-897。

[23] Walford GA，Gustafsson S，Rybin D，Stan？AkováA，Chen H, Liu CT, Hong J, Jensen RA, Rice K, Morris AP等。基因组全基因组的关联研究，修改了胰岛素灵敏度指数鉴定BCL2andFAM19A2as novel insulin sensitivity loci.糖尿病2016, 65 (10): 3200-3211.

[24] Liu C，Kraja AT，Smith JA，Brody JA，Franceschini N，Bis JC，Rice K，Morrison AC，Lu Y，Weiss S，Guo X，Palmas W，Martin LW，Martin LW，Chen YDI，Surendran P，Drenos F，Drenos F，Drenos F，Drenos F，Cook JP，Auer PL，Chu AY，Tsosie KS，Zhao W，JakobsdóttirJ，Lin LA，Stafford JM，Amin N，Mei H，Mei H，Yao J，Voorman A，Larson MG，Larson MG，Grove ML，Grove ML，Smith AV，Hwang SJ，Hwang SJ，SJ，SJ，SJ，SJ，SJ，SJ，SJ，SJ，Chen H等。荟萃分析确定了影响血压和代谢性状基因座重叠的常见和稀有变体。自然遗传学2016, 48 (10): 1162-1170.

[25] Wang H，Cade Be，Chen H, Gleason KJ, Saxena R, Feng T, Larkin EK, Ramachandran VS, Lin H, Patel SR等。Angiopoietin-2中的变体（ANGPT2) contribute to variation in Nocturnal Oxyhemoglobin Saturation Level.Human Molecular Genetics2016年10月18日[EPUB在印刷前]。