Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations

Ge, T., Irvin, M. R., Patki, A., Srinivasasainagendra, V., Lin, Y.-F., Tiwari, H. K., Armstrong, N. D., Benoit, B., Chen, C.-Y., Choi, K. W., Cimino, J. J., Davis, B. H., Dikilitas, O., Etheridge, B., Feng, Y.-C. A., Gainer, V., Huang, H., Jarvik, G. P., Kachulis, C., … Karlson, E. W. (2022). Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations. Genome Medicine, 14(1). https://doi.org/10.1186/s13073-022-01074-2
Authors:
Tian Ge
Marguerite R. Irvin
Amit Patki
Vinodh Srinivasasainagendra
Yen-Feng Lin
Hemant K. Tiwari
Nicole D. Armstrong
Barbara Benoit
Chia-Yen Chen
Karmel W. Choi
James J. Cimino
Brittney H. Davis
Ozan Dikilitas
Bethany Etheridge
Yen-Chen Anne Feng
Vivian Gainer
Hailiang Huang
Gail P. Jarvik
Christopher Kachulis
Eimear E. Kenny
Atlas Khan
Krzysztof Kiryluk
Leah Kottyan
Iftikhar J. Kullo
Christoph Lange
Niall Lennon
Aaron Leong
Edyta Malolepsza
Ayme D. Miles
Shawn Murphy
Bahram Namjou
Renuka Narayan
Mark J. O’Connor
Jennifer A. Pacheco
Emma Perez
Laura J. Rasmussen-Torvik
Elisabeth A. Rosenthal
Daniel Schaid
Maria Stamou
Miriam S. Udler
Wei-Qi Wei
Scott T. Weiss
Maggie C. Y. Ng
Jordan W. Smoller
Matthew S. Lebo
James B. Meigs
Nita A. Limdi
Elizabeth W. Karlson
Affiliated Authors:
Atlas Khan
Krzysztof Kiryluk
Columbia Affiliation:
Subjects:
Diabetes Mellitus, Type 2 (MeSH)
Genome-Wide Association Study (MeSH)
Author Keywords:
polygenic risk score
type 2 diabetes
diverse populations
clinical implementation
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Publication Type:
Article
Unique ID:
10.1186/s13073-022-01074-2
PMID:
35765100
DOI:
10.1186/s13073-022-01074-2
Journal:
Genome Medicine
Publication Date:
Data Source:
Scopus
Source Link:
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