Common variants at 30 loci contribute to polygenic dyslipidemia
Sekar Kathiresan et al . report genome-wide association studies for polygenic dyslipidemia. From a meta-analysis of seven genome-wide association studies and follow-up in five replication studies, they identify 11 new genetic associations for LDL cholesterol, HDL cholesterol and triglycerides. Blood...
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Published in | Nature genetics Vol. 41; no. 1; pp. 56 - 65 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.01.2009
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Sekar Kathiresan
et al
. report genome-wide association studies for polygenic dyslipidemia. From a meta-analysis of seven genome-wide association studies and follow-up in five replication studies, they identify 11 new genetic associations for LDL cholesterol, HDL cholesterol and triglycerides.
Blood low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol and triglyceride levels are risk factors for cardiovascular disease. To dissect the polygenic basis of these traits, we conducted genome-wide association screens in 19,840 individuals and replication in up to 20,623 individuals. We identified 30 distinct loci associated with lipoprotein concentrations (each with
P
< 5 × 10
−8
), including 11 loci that reached genome-wide significance for the first time. The 11 newly defined loci include common variants associated with LDL cholesterol near
ABCG8
,
MAFB
,
HNF1A
and
TIMD4
; with HDL cholesterol near
ANGPTL4
,
FADS1-FADS2-FADS3
,
HNF4A
,
LCAT
,
PLTP
and
TTC39B
; and with triglycerides near
AMAC1L2
,
FADS1-FADS2-FADS3
and
PLTP
. The proportion of individuals exceeding clinical cut points for high LDL cholesterol, low HDL cholesterol and high triglycerides varied according to an allelic dosage score (
P
< 10
−15
for each trend). These results suggest that the cumulative effect of multiple common variants contributes to polygenic dyslipidemia. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 AUTHOR CONTRIBUTIONS These authors contributed equally to this work. Writing team and project management: S.K., C.J.W., G.P., S.D., M.O.-M., J.M.O., M.B., G.R.A., K.L.M. and L.A.C. Study design: S.K., J.M.O., C.J.O., L.A.C., J.C.C., J.S.K., P.M., S.H., L.F., D.A., L.G., R.N.B., J.T., F.S.C., M.B., K.L.M., E.G.L., A.S., M.U., D.S., G.R.A., M.O.-M., O.M., V.S., L.P., G.M.L., R.C. and E.S. Clinical samples, phenotyping and genotyping: J.M.O., L.L.B., K.A.K., M.A.M., L.A.C., P.G., A.J.S., J.K., R.N.B., J.S., M.L., L.F., S.H., P.M., G.M.L., M.O.-M., O.M., S.K., G.C., A.S., C.G., N.B. and L.K. Data analysis: S.K., C.J.W., G.P., S.D., K.M., D.B., Y.L., T.T., B.F.V., A.U.J., S.P., R.C., D.Z., L.J.S., H.M.S., P.S., S.S., M.U., Q.Y., K.L., J.D., P.I.D., J.C.C., E.S. and G.R.A. |
ISSN: | 1061-4036 1546-1718 1546-1718 |
DOI: | 10.1038/ng.291 |