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Analysis with the exome array identifies multiple new independent variants in lipid loci

Analysis with the exome array identifies multiple new independent variants in lipid loci
Analysis with the exome array identifies multiple new independent variants in lipid loci
It has been hypothesized that low frequency (1-5% minor allele frequency (MAF)) and rare (<1% MAF) variants with large effect sizes may contribute to the missing heritability in complex traits. Here, we report an association analysis of lipid traits (total cholesterol, LDL-cholesterol, HDL-cholesterol triglycerides) in up to 27 312 individuals with a comprehensive set of low frequency coding variants (ExomeChip), combined with conditional analysis in the known lipid loci. No new locus reached genome-wide significance. However, we found a new lead variant in 26 known lipid association regions of which 16 were >1000-fold more significant than the previous sentinel variant and not in close LD (six had MAF <5%). Furthermore, conditional analysis revealed multiple independent signals (ranging from 1 to 5) in a third of the 98 lipid loci tested, including rare variants. Addition of our novel associations resulted in between 1.5- and 2.5-fold increase in the proportion of heritability explained for the different lipid traits. Our findings suggest that rare coding variants contribute to the genetic architecture of lipid traits.
0964-6906
Couto Alves, Alexessander
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
Kanoni, Stavroula
bd7ead1d-6550-48d7-b501-506ce457de13
Masca, Nicholas G.D.
545d32f4-754f-4a50-833b-d9a8608e4840
Stirrups, Kathleen E.
2f99a405-9f9e-4b7d-8412-6e8c20acf341
Varga, Tibor V.
99ea3afd-8f9b-46ce-973d-752a9a325cec
Warren, Helen R.
e8597b4c-8546-48ef-bb80-fb4a01d12ea5
Scott, Robert A.
84c4523a-3c64-483b-bf62-29059df18abc
Southam, Lorraine
93ceaec8-5623-4384-8e04-3c6d908cdbb6
Zhang, Weihua
1a759991-f2d4-4324-b8e2-c5b4c2b527d6
Yaghootkar, Hanieh
33429efe-66f3-4f96-9e33-eb599b0c2245
Couto Alves, Alexessander
87b9179e-abde-4ca5-abfc-4b7c5ac8b03b
Kanoni, Stavroula
bd7ead1d-6550-48d7-b501-506ce457de13
Masca, Nicholas G.D.
545d32f4-754f-4a50-833b-d9a8608e4840
Stirrups, Kathleen E.
2f99a405-9f9e-4b7d-8412-6e8c20acf341
Varga, Tibor V.
99ea3afd-8f9b-46ce-973d-752a9a325cec
Warren, Helen R.
e8597b4c-8546-48ef-bb80-fb4a01d12ea5
Scott, Robert A.
84c4523a-3c64-483b-bf62-29059df18abc
Southam, Lorraine
93ceaec8-5623-4384-8e04-3c6d908cdbb6
Zhang, Weihua
1a759991-f2d4-4324-b8e2-c5b4c2b527d6
Yaghootkar, Hanieh
33429efe-66f3-4f96-9e33-eb599b0c2245

Couto Alves, Alexessander, Kanoni, Stavroula, Masca, Nicholas G.D., Stirrups, Kathleen E., Varga, Tibor V., Warren, Helen R., Scott, Robert A., Southam, Lorraine, Zhang, Weihua and Yaghootkar, Hanieh (2016) Analysis with the exome array identifies multiple new independent variants in lipid loci. Human Molecular Genetics, 25 (18). (doi:10.1093/hmg/ddw227).

Record type: Article

Abstract

It has been hypothesized that low frequency (1-5% minor allele frequency (MAF)) and rare (<1% MAF) variants with large effect sizes may contribute to the missing heritability in complex traits. Here, we report an association analysis of lipid traits (total cholesterol, LDL-cholesterol, HDL-cholesterol triglycerides) in up to 27 312 individuals with a comprehensive set of low frequency coding variants (ExomeChip), combined with conditional analysis in the known lipid loci. No new locus reached genome-wide significance. However, we found a new lead variant in 26 known lipid association regions of which 16 were >1000-fold more significant than the previous sentinel variant and not in close LD (six had MAF <5%). Furthermore, conditional analysis revealed multiple independent signals (ranging from 1 to 5) in a third of the 98 lipid loci tested, including rare variants. Addition of our novel associations resulted in between 1.5- and 2.5-fold increase in the proportion of heritability explained for the different lipid traits. Our findings suggest that rare coding variants contribute to the genetic architecture of lipid traits.

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Published date: 27 July 2016

Identifiers

Local EPrints ID: 494941
URI: http://eprints.soton.ac.uk/id/eprint/494941
ISSN: 0964-6906
PURE UUID: fc42b411-a603-4764-bb74-24a570b8fcfc
ORCID for Alexessander Couto Alves: ORCID iD orcid.org/0000-0001-8519-7356

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Date deposited: 23 Oct 2024 16:57
Last modified: 24 Oct 2024 02:11

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Contributors

Author: Alexessander Couto Alves ORCID iD
Author: Stavroula Kanoni
Author: Nicholas G.D. Masca
Author: Kathleen E. Stirrups
Author: Tibor V. Varga
Author: Helen R. Warren
Author: Robert A. Scott
Author: Lorraine Southam
Author: Weihua Zhang
Author: Hanieh Yaghootkar

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