Pregled bibliografske jedinice broj: 1259029
Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity
Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity // Nature Communications, 10 (2019), 1; 376, 11 doi:10.1038/s41467-018-08008-w (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1259029 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Multi-ancestry study of blood lipid levels
identifies four loci interacting with physical
activity
Autori
Kilpeläinen, Tuomas O. ; ... ; Polasek, Ozren ; ... ; Loos, Ruth J. F. ; Lifelines Cohort Study
Kolaboracija
Lifelines Cohort Study
Izvornik
Nature Communications (2041-1723) 10
(2019), 1;
376, 11
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Genetic Loci ; Lipid Metabolism
Sažetak
Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120, 979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131, 012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity ; higher levels of physical activity enhance the HDL cholesterol- increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti
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
- Nature Index