Genome-wide association analysis of metabolic traits in a birth cohort from a founder population
Nelson Freimer and colleagues report the first genome-wide association study of a longitudinal birth cohort (the Northern Finland Birth Cohort 1966). The results include new associations for nine quantitative metabolic traits. Genome-wide association studies (GWAS) of longitudinal birth cohorts enab...
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| Veröffentlicht in: | Nature genetics Jg. 41; H. 1; S. 35 - 46 |
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
New York
Nature Publishing Group US
01.01.2009
Nature Publishing Group |
| Schlagworte: | |
| ISSN: | 1061-4036, 1546-1718, 1546-1718 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Nelson Freimer and colleagues report the first genome-wide association study of a longitudinal birth cohort (the Northern Finland Birth Cohort 1966). The results include new associations for nine quantitative metabolic traits.
Genome-wide association studies (GWAS) of longitudinal birth cohorts enable joint investigation of environmental and genetic influences on complex traits. We report GWAS results for nine quantitative metabolic traits (triglycerides, high-density lipoprotein, low-density lipoprotein, glucose, insulin, C-reactive protein, body mass index, and systolic and diastolic blood pressure) in the Northern Finland Birth Cohort 1966 (NFBC1966), drawn from the most genetically isolated Finnish regions. We replicate most previously reported associations for these traits and identify nine new associations, several of which highlight genes with metabolic functions: high-density lipoprotein with
NR1H3
(
LXRA
), low-density lipoprotein with
AR
and
FADS1
-
FADS2
, glucose with
MTNR1B
, and insulin with
PANK1
. Two of these new associations emerged after adjustment of results for body mass index. Gene–environment interaction analyses suggested additional associations, which will require validation in larger samples. The currently identified loci, together with quantified environmental exposures, explain little of the trait variation in NFBC1966. The association observed between low-density lipoprotein and an infrequent variant in
AR
suggests the potential of such a cohort for identifying associations with both common, low-impact and rarer, high-impact quantitative trait loci. |
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| Bibliographie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 The study was designed by L.P., N.B.F., C.S., M.I.M., M.J.D., P.E., M.-R.J. and S.K.S. Information on traits was collected and maintained by M.-R.J., A.-L.H., A.P., A.R. and J.L. Genotyping was supervised by S.G. Database support was provided by H.T., U.S. and M.K. Statistical analysis was performed by C.S., S.K.S., A.C., C.G.J., J.B., N.A.Z., and M.J.D. S.R., E.J. and T.V. contributed to the analysis of the Finnish genetic signature. L.C., C.H. and P.E. participated in discussion of results. The manuscript was written by C.S., S.K.S., N.B.F. and L.P. All authors reviewed the manuscript. AUTHOR CONTRIBUTIONS These authors contributed equally to this work. |
| ISSN: | 1061-4036 1546-1718 1546-1718 |
| DOI: | 10.1038/ng.271 |