Genome-Wide Meta-analysis Identifies Genetic Variants Associated With Glycemic Response to Sulfonylureas.

Adem Y DawedSook Wah YeeKaixin ZhouNienke van LeeuwenYanfei ZhangMoneeza K SiddiquiAmy EtheridgeFederico InnocentiFei XuJosephine H LiJoline W BeulensAmber A van der HeijdenRoderick C SliekerYu-Chuan ChangJosep M MercaderVarinderpal KaurJohn S WitteMing Ta Michael LeeYoichiro KamataniYukihide MomozawaMichiaki KuboColin N A PalmerJose C FlorezMonique M HeddersonLeen M 't HartKathleen M GiacominiEwan R Pearsonnull nullnull null

Published in: Diabetes care (2021)

We have identified clinically important genetic effects at genome-wide levels of significance, and important drug-drug-gene interactions, which include commonly prescribed statins. With increasing availability of genetic data embedded in clinical records these findings will be important in prescribing glucose-lowering drugs.

Keyphrases

genome wide
dna methylation
copy number
systematic review
adverse drug
primary care
type diabetes
cardiovascular disease
drug induced
meta analyses
blood glucose
big data
randomized controlled trial
emergency department
metabolic syndrome
transcription factor
weight loss