D
Diana Chang
Researcher at Cornell University
Publications - 12
Citations - 802
Diana Chang is an academic researcher from Cornell University. The author has contributed to research in topics: Genome-wide association study & Genetic association. The author has an hindex of 10, co-authored 12 publications receiving 661 citations. Previous affiliations of Diana Chang include University of Maryland, College Park.
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Journal ArticleDOI
Meta-analysis of shared genetic architecture across ten pediatric autoimmune diseases
Yun Li,Jin Li,Sihai Dave Zhao,Sihai Dave Zhao,Jonathan P. Bradfield,Frank D. Mentch,S. Melkorka Maggadottir,Cuiping Hou,Debra J. Abrams,Diana Chang,Feng Gao,Yiran Guo,Zhi Wei,John Connolly,Christopher J. Cardinale,Marina Bakay,Joseph T. Glessner,Dong Li,Charlly Kao,Kelly A. Thomas,Haijun Qiu,Rosetta M. Chiavacci,Cecilia E. Kim,Fengxiang Wang,James Snyder,Marylyn D Richie,Berit Flatø,Øystein Førre,Lee A. Denson,Susan D. Thompson,Mara L. Becker,Stephen L. Guthery,Anna Latiano,Elena E. Perez,Elena S. Resnick,Richard K Russell,David C. Wilson,Mark S. Silverberg,Vito Annese,Benedicte A. Lie,Marilynn Punaro,Marla Dubinsky,Dimitri S. Monos,Caterina Strisciuglio,Annamaria Staiano,Erasmo Miele,Subra Kugathasan,Justine A. Ellis,Jane E Munro,Kathleen E. Sullivan,Carol Wise,Helen Chapel,Charlotte Cunningham-Rundles,Struan F.A. Grant,Jordan S. Orange,Patrick M. A. Sleiman,Edward M. Behrens,Anne M. Griffiths,Jack Satsangi,Terri H. Finkel,Alon Keinan,Eline T. Luning Prak,Constantin Polychronakos,Robert N. Baldassano,Hongzhe Li,Brendan J. Keating,Hakon Hakonarson +66 more
TL;DR: Network and protein-interaction analyses demonstrated converging roles for the signaling pathways of type 1, 2 and 17 helper T cells (TH1, TH2 and TH17), JAK-STAT, interferon and interleukin in multiple autoimmune diseases.
Journal ArticleDOI
Neutral genomic regions refine models of recent rapid human population growth
Elodie Gazave,Li Ma,Diana Chang,Alex Coventry,Feng Gao,Donna M. Muzny,Eric Boerwinkle,Richard A. Gibbs,Charles F. Sing,Andrew G. Clark,Alon Keinan +10 more
TL;DR: Targeted sequencing data is introduced for studying recent human history with minimal confounding by natural selection and the best-fit model fits the data very well, largely due to the observation that assumptions of more ancient demography can impact estimates of recent growth.
Journal ArticleDOI
Accounting for eXentricities: analysis of the X chromosome in GWAS reveals X-linked genes implicated in autoimmune diseases.
Diana Chang,Feng Gao,Andrea Slavney,Li Ma,Yedael Y. Waldman,Aaron J. Sams,Paul Billing-Ross,Aviv Madar,Richard A. Spritz,Alon Keinan +9 more
TL;DR: The results demonstrate the importance of the X chromosome in autoimmunity, reveal the potential of extensive XWAS, even based on existing data, and provide the tools and incentive to properly include the X chromosomes in future studies.
Journal ArticleDOI
XWAS: A Software Toolset for Genetic Data Analysis and Association Studies of the X Chromosome
TL;DR: XWAS will provide the tools and incentive for others to incorporate the X chromosome into GWAS and similar studies in any species with an XX/XY system, hence enabling discoveries of novel loci implicated in many diseases and in their sexual dimorphism.
Journal ArticleDOI
Population growth inflates the per-individual number of deleterious mutations and reduces their mean effect.
TL;DR: To understand how patterns of human genetic variation have been shaped by the interaction of natural selection and population growth, this study examined the trajectories of mutations with varying selection coefficients, using computer simulations.