Questionnaire-Based Polyexposure Assessment Outperforms Polygenic Scores for Classification of Type 2 Diabetes in a Multiancestry Cohort.

Saved in:
Bibliographic Details
Title: Questionnaire-Based Polyexposure Assessment Outperforms Polygenic Scores for Classification of Type 2 Diabetes in a Multiancestry Cohort.
Authors: Akhtari FS; 1Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC.; 2Clinical Research Branch, National Institute of Environmental Health Sciences, Durham, NC., Lloyd D; 1Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC., Burkholder A; 3Office of the Director, National Institute of Environmental Health Sciences, Durham, NC., Tong X; 1Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC., House JS; 1Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC., Lee EY; 1Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC., Buse J; 4Department of Medicine, University of North Carolina, Chapel Hill, NC., Schurman SH; 2Clinical Research Branch, National Institute of Environmental Health Sciences, Durham, NC., Fargo DC; 3Office of the Director, National Institute of Environmental Health Sciences, Durham, NC., Schmitt CP; 5Office of Data Science, National Institute of Environmental Health Science, Durham, NC., Hall J; 2Clinical Research Branch, National Institute of Environmental Health Sciences, Durham, NC., Motsinger-Reif AA; 1Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC.
Source: Diabetes care [Diabetes Care] 2023 May 01; Vol. 46 (5), pp. 929-937.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: American Diabetes Association Country of Publication: United States NLM ID: 7805975 Publication Model: Print Cited Medium: Internet ISSN: 1935-5548 (Electronic) Linking ISSN: 01495992 NLM ISO Abbreviation: Diabetes Care Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1935-5548
DOI:10.2337/dc22-0295