Evaluating human genetic support for hypothesized metabolic disease genes

We investigate the extent to which human genetic data are incorporated into studies that hypothesize novel links between genes and metabolic disease. To lower the barriers to using genetic data, we present an approach to enable researchers to evaluate human genetic support for experimentally determi...

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Bibliographic Details
Published in:Cell metabolism 2022-05, Vol.34 (5), p.661-666
Main Authors: Dornbos, Peter, Singh, Preeti, Jang, Dong-Keun, Mahajan, Anubha, Biddinger, Sudha B., Rotter, Jerome I., McCarthy, Mark I., Flannick, Jason
Format: Article
Language:English
Subjects:
Human Genetics
Humans
Metabolic Diseases - genetics
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Summary:We investigate the extent to which human genetic data are incorporated into studies that hypothesize novel links between genes and metabolic disease. To lower the barriers to using genetic data, we present an approach to enable researchers to evaluate human genetic support for experimentally determined hypotheses. Despite the now widespread availability of human genetic data and their recognized value to complement work in experimental models, they are rarely incorporated into experimental studies. Dornbos et al. discuss how researchers can use human genetic data to support the involvement of genes in common metabolic diseases.
ISSN:1550-4131
1932-7420
DOI:10.1016/j.cmet.2022.03.011