Pregled bibliografske jedinice broj: 1251191
The trans-ancestral genomic architecture of glycemic traits
The trans-ancestral genomic architecture of glycemic traits // Nature Genetics, 53 (2021), 6; 840-860 doi:10.1038/s41588-021-00852-9 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1251191 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The trans-ancestral genomic architecture of glycemic
traits
Autori
Chen, Ji ; Spracklen, Cassandra N. ; Marenne, Gaelle ; Varshney, Arushi et al.
Kolaboracija
Lifelines Cohort Study ; Metaanal Glucose Insulin Related
Izvornik
Nature Genetics (1061-4036) 53
(2021), 6;
840-860
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
WIDE ASSOCIATION ; INSULIN-RESISTANCE ; GENE-EXPRESSION ; DISEASE RISK ; VARIANTS ; GLUCOSE ; LOCI ; METAANALYSIS ; MECHANISMS ; HEMOGLOBIN
Sažetak
Glycemic traits are used to diagnose and monitor type 2 diabetes and cardiometabolic health. To date, most genetic studies of glycemic traits have focused on individuals of European ancestry. Here we aggregated genome-wide association studies comprising up to 281, 416 individuals without diabetes (30% non-European ancestry) for whom fasting glucose, 2-h glucose after an oral glucose challenge, glycated hemoglobin and fasting insulin data were available. Trans-ancestry and single- ancestry meta-analyses identified 242 loci (99 novel ; P < 5 x 10(-8)), 80% of which had no significant evidence of between-ancestry heterogeneity. Analyses restricted to individuals of European ancestry with equivalent sample size would have led to 24 fewer new loci. Compared with single-ancestry analyses, equivalent-sized trans- ancestry fine-mapping reduced the number of estimated variants in 99% credible sets by a median of 37.5%. Genomic-feature, gene-expression and gene-set analyses revealed distinct biological signatures for each trait, highlighting different underlying biological pathways. Our results increase our understanding of diabetes pathophysiology by using trans-ancestry studies for improved power and resolution. A trans- ancestry meta-analysis of GWAS of glycemic traits in up to 281, 416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine- mapping of credible variant sets.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Split
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE