- Record: found
- Abstract: not found
- Article: not found
Harmonizing Genetic Ancestry and Self-identified Race/Ethnicity in Genome-wide Association Studies
Huaying Fang ,
Qin Hui ,
Julie Lynch ,
Jacqueline Honerlaw ,
Themistocles L. Assimes ,
Jie Huang ,
Marijana Vujkovic ,
Scott M. Damrauer ,
Saiju Pyarajan ,
J. Michael Gaziano ,
Scott L. DuVall ,
Christopher J. O’Donnell ,
Kelly Cho ,
Kyong-Mi Chang ,
Peter W.F. Wilson ,
Philip S. Tsao ,
Yan V. Sun ,
Hua Tang ,
J. Michael Gaziano ,
Rachel Ramoni ,
Jim Breeling ,
Kyong-Mi Chang ,
Grant Huang ,
Sumitra Muralidhar ,
Christopher J. O’Donnell ,
Philip S. Tsao ,
Sumitra Muralidhar ,
Jennifer Moser ,
Stacey B. Whitbourne ,
Jessica V. Brewer ,
John Concato ,
Stuart Warren ,
Dean P. Argyres ,
Brady Stephens ,
Mary T. Brophy ,
Donald E. Humphries ,
Nhan Do ,
Shahpoor Shayan ,
Xuan-Mai T. Nguyen ,
Saiju Pyarajan ,
Kelly Cho ,
Elizabeth Hauser ,
Yan Sun ,
Hongyu Zhao ,
Peter Wilson ,
Rachel McArdle ,
Louis Dellitalia ,
John Harley ,
Jeffrey Whittle ,
Jean Beckham ,
John Wells ,
Salvador Gutierrez ,
Gretchen Gibson ,
Laurence Kaminsky ,
Gerardo Villareal ,
Scott Kinlay ,
Junzhe Xu ,
Mark Hamner ,
Kathlyn Sue Haddock ,
Sujata Bhushan ,
Pran Iruvanti ,
Michael Godschalk ,
Zuhair Ballas ,
Malcolm Buford ,
Stephen Mastorides ,
Jon Klein ,
Nora Ratcliffe ,
Hermes Florez ,
Alan Swann ,
Maureen Murdoch ,
Peruvemba Sriram ,
Shing Shing Yeh ,
Ronald Washburn ,
Darshana Jhala ,
Samuel Aguayo ,
David Cohen ,
Satish Sharma ,
John Callaghan ,
Kris Ann Oursler ,
Mary Whooley ,
Sunil Ahuja ,
Amparo Gutierrez ,
Ronald Schifman ,
Jennifer Greco ,
Michael Rauchman ,
Richard Servatius ,
Mary Oehlert ,
Agnes Wallbom ,
Ronald Fernando ,
Timothy Morgan ,
Todd Stapley ,
Scott Sherman ,
Gwenevere Anderson ,
Elif Sonel ,
Edward Boyko ,
Laurence Meyer ,
Samir Gupta ,
Joseph Fayad ,
Adriana Hung ,
Jack Lichy ,
Robin Hurley ,
Brooks Robey ,
Robert Striker
October 2019
October 2019
Read this article at
There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.
Abstract
Large-scale multi-ethnic cohorts offer unprecedented opportunities to elucidate the
genetic factors influencing complex traits related to health and disease among minority
populations. At the same time, the genetic diversity in these cohorts presents new
challenges for analysis and interpretation. We consider the utility of race and/or
ethnicity categories in genome-wide association studies (GWASs) of multi-ethnic cohorts.
We demonstrate that race/ethnicity information enhances the ability to understand
population-specific genetic architecture. To address the practical issue that self-identified
racial/ethnic information may be incomplete, we propose a machine learning algorithm
that produces a surrogate variable, termed HARE. We use height as a model trait to
demonstrate the utility of HARE and ethnicity-specific GWASs.