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Han Chen

Researcher at University of Texas Health Science Center at Houston

Publications -  107
Citations -  10089

Han Chen is an academic researcher from University of Texas Health Science Center at Houston. The author has contributed to research in topics: Genome-wide association study & Genetic association. The author has an hindex of 27, co-authored 95 publications receiving 8503 citations. Previous affiliations of Han Chen include University of Washington & Boston University.

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Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes

Andrew P. Morris, +232 more
- 01 Sep 2012 - 
TL;DR: This article conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent, and identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association.
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Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.

Anubha Mahajan, +395 more
- 01 Mar 2014 - 
TL;DR: In this paper, the authors aggregated published meta-analyses of genome-wide association studies (GWAS), including 26,488 cases and 83,964 controls of European, east Asian, south Asian and Mexican and Mexican American ancestry.
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The genetic architecture of type 2 diabetes

Christian Fuchsberger, +349 more
- 11 Jul 2016 - 
TL;DR: In this paper, the authors performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing for 12,940 individuals from five ancestry groups.
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A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

Alisa K. Manning, +243 more
- 01 Jun 2012 - 
TL;DR: Six previously unknown loci associated with fasting insulin at P < 5 × 10−8 in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals are presented.
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Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways

Robert A. Scott, +216 more
- 01 Sep 2012 - 
TL;DR: Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations and further functional analysis of these newly discovered loci will further improve the understanding of glycemic control.