Work

Combined application of genetic and polygenic risk scores for type 1 diabetes risk prediction

Year: 2021

Type: letter

Abstract: The peer review history for this article is available at https://publons.com/publon/10.1111/dom.14419. Individual data of genome-wide SNP markers are available through the dbGaP (https://www.ncbi.nlm.nih.gov/gap/). All other data relevant to the study are available from the corresponding author on request.

Source: Diabetes Obesity and Metabolism

DOI: 10.1111/dom.14419

Authors: Hui‐Qi Qu, Jingchun Qu, Jonathan Bradfield, Joseph Glessner, Xiao Chang, Michael March, Frank D. Mentch, Jeffrey D. Roizen, John J. Connolly, Patrick Sleiman, Hakon Hakonarson

Institutions: Children's Hospital of Philadelphia, University of Pennsylvania

Language: English

Topic: Diabetes and associated disorders

Subfield: Genetics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Human Genome Research Institute

Award: Utilizing Polygenic Risk to Understand and Improve Outcomes: A Model For Overturning Health Disparities Through Minority-Enriched Genomics Healthcare

OpenAlex ID: W3159492288

Cites: 8

Cited by: 6

Related to: 10