Fine mapping of five loci associated with low-density lipoprotein cholesterol detects variants that double the explained heritability.

Complex trait genome-wide association studies (GWAS) provide an efficient strategy for evaluating large numbers of common variants in large numbers of individuals and for identifying trait-associated variants. Nevertheless, GWAS often leave much of the trait heritability unexplained. We hypothesized...

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Main Authors: Serena Sanna, Bingshan Li, Antonella Mulas, Carlo Sidore, Hyun M Kang, Anne U Jackson, Maria Grazia Piras, Gianluca Usala, Giuseppe Maninchedda, Alessandro Sassu, Fabrizio Serra, Maria Antonietta Palmas, William H Wood, Inger Njølstad, Markku Laakso, Kristian Hveem, Jaakko Tuomilehto, Timo A Lakka, Rainer Rauramaa, Michael Boehnke, Francesco Cucca, Manuela Uda, David Schlessinger, Ramaiah Nagaraja, Gonçalo R Abecasis
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-07-01
Series:PLoS Genetics
Online Access:http://europepmc.org/articles/PMC3145627?pdf=render
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spelling doaj-b7f4549516ff4fdfb01e7c55dac199952020-11-25T01:29:11ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042011-07-0177e100219810.1371/journal.pgen.1002198Fine mapping of five loci associated with low-density lipoprotein cholesterol detects variants that double the explained heritability.Serena SannaBingshan LiAntonella MulasCarlo SidoreHyun M KangAnne U JacksonMaria Grazia PirasGianluca UsalaGiuseppe ManincheddaAlessandro SassuFabrizio SerraMaria Antonietta PalmasWilliam H WoodInger NjølstadMarkku LaaksoKristian HveemJaakko TuomilehtoTimo A LakkaRainer RauramaaMichael BoehnkeFrancesco CuccaManuela UdaDavid SchlessingerRamaiah NagarajaGonçalo R AbecasisComplex trait genome-wide association studies (GWAS) provide an efficient strategy for evaluating large numbers of common variants in large numbers of individuals and for identifying trait-associated variants. Nevertheless, GWAS often leave much of the trait heritability unexplained. We hypothesized that some of this unexplained heritability might be due to common and rare variants that reside in GWAS identified loci but lack appropriate proxies in modern genotyping arrays. To assess this hypothesis, we re-examined 7 genes (APOE, APOC1, APOC2, SORT1, LDLR, APOB, and PCSK9) in 5 loci associated with low-density lipoprotein cholesterol (LDL-C) in multiple GWAS. For each gene, we first catalogued genetic variation by re-sequencing 256 Sardinian individuals with extreme LDL-C values. Next, we genotyped variants identified by us and by the 1000 Genomes Project (totaling 3,277 SNPs) in 5,524 volunteers. We found that in one locus (PCSK9) the GWAS signal could be explained by a previously described low-frequency variant and that in three loci (PCSK9, APOE, and LDLR) there were additional variants independently associated with LDL-C, including a novel and rare LDLR variant that seems specific to Sardinians. Overall, this more detailed assessment of SNP variation in these loci increased estimates of the heritability of LDL-C accounted for by these genes from 3.1% to 6.5%. All association signals and the heritability estimates were successfully confirmed in a sample of ∼10,000 Finnish and Norwegian individuals. Our results thus suggest that focusing on variants accessible via GWAS can lead to clear underestimates of the trait heritability explained by a set of loci. Further, our results suggest that, as prelude to large-scale sequencing efforts, targeted re-sequencing efforts paired with large-scale genotyping will increase estimates of complex trait heritability explained by known loci.http://europepmc.org/articles/PMC3145627?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Serena Sanna
Bingshan Li
Antonella Mulas
Carlo Sidore
Hyun M Kang
Anne U Jackson
Maria Grazia Piras
Gianluca Usala
Giuseppe Maninchedda
Alessandro Sassu
Fabrizio Serra
Maria Antonietta Palmas
William H Wood
Inger Njølstad
Markku Laakso
Kristian Hveem
Jaakko Tuomilehto
Timo A Lakka
Rainer Rauramaa
Michael Boehnke
Francesco Cucca
Manuela Uda
David Schlessinger
Ramaiah Nagaraja
Gonçalo R Abecasis
spellingShingle Serena Sanna
Bingshan Li
Antonella Mulas
Carlo Sidore
Hyun M Kang
Anne U Jackson
Maria Grazia Piras
Gianluca Usala
Giuseppe Maninchedda
Alessandro Sassu
Fabrizio Serra
Maria Antonietta Palmas
William H Wood
Inger Njølstad
Markku Laakso
Kristian Hveem
Jaakko Tuomilehto
Timo A Lakka
Rainer Rauramaa
Michael Boehnke
Francesco Cucca
Manuela Uda
David Schlessinger
Ramaiah Nagaraja
Gonçalo R Abecasis
Fine mapping of five loci associated with low-density lipoprotein cholesterol detects variants that double the explained heritability.
PLoS Genetics
author_facet Serena Sanna
Bingshan Li
Antonella Mulas
Carlo Sidore
Hyun M Kang
Anne U Jackson
Maria Grazia Piras
Gianluca Usala
Giuseppe Maninchedda
Alessandro Sassu
Fabrizio Serra
Maria Antonietta Palmas
William H Wood
Inger Njølstad
Markku Laakso
Kristian Hveem
Jaakko Tuomilehto
Timo A Lakka
Rainer Rauramaa
Michael Boehnke
Francesco Cucca
Manuela Uda
David Schlessinger
Ramaiah Nagaraja
Gonçalo R Abecasis
author_sort Serena Sanna
title Fine mapping of five loci associated with low-density lipoprotein cholesterol detects variants that double the explained heritability.
title_short Fine mapping of five loci associated with low-density lipoprotein cholesterol detects variants that double the explained heritability.
title_full Fine mapping of five loci associated with low-density lipoprotein cholesterol detects variants that double the explained heritability.
title_fullStr Fine mapping of five loci associated with low-density lipoprotein cholesterol detects variants that double the explained heritability.
title_full_unstemmed Fine mapping of five loci associated with low-density lipoprotein cholesterol detects variants that double the explained heritability.
title_sort fine mapping of five loci associated with low-density lipoprotein cholesterol detects variants that double the explained heritability.
publisher Public Library of Science (PLoS)
series PLoS Genetics
issn 1553-7390
1553-7404
publishDate 2011-07-01
description Complex trait genome-wide association studies (GWAS) provide an efficient strategy for evaluating large numbers of common variants in large numbers of individuals and for identifying trait-associated variants. Nevertheless, GWAS often leave much of the trait heritability unexplained. We hypothesized that some of this unexplained heritability might be due to common and rare variants that reside in GWAS identified loci but lack appropriate proxies in modern genotyping arrays. To assess this hypothesis, we re-examined 7 genes (APOE, APOC1, APOC2, SORT1, LDLR, APOB, and PCSK9) in 5 loci associated with low-density lipoprotein cholesterol (LDL-C) in multiple GWAS. For each gene, we first catalogued genetic variation by re-sequencing 256 Sardinian individuals with extreme LDL-C values. Next, we genotyped variants identified by us and by the 1000 Genomes Project (totaling 3,277 SNPs) in 5,524 volunteers. We found that in one locus (PCSK9) the GWAS signal could be explained by a previously described low-frequency variant and that in three loci (PCSK9, APOE, and LDLR) there were additional variants independently associated with LDL-C, including a novel and rare LDLR variant that seems specific to Sardinians. Overall, this more detailed assessment of SNP variation in these loci increased estimates of the heritability of LDL-C accounted for by these genes from 3.1% to 6.5%. All association signals and the heritability estimates were successfully confirmed in a sample of ∼10,000 Finnish and Norwegian individuals. Our results thus suggest that focusing on variants accessible via GWAS can lead to clear underestimates of the trait heritability explained by a set of loci. Further, our results suggest that, as prelude to large-scale sequencing efforts, targeted re-sequencing efforts paired with large-scale genotyping will increase estimates of complex trait heritability explained by known loci.
url http://europepmc.org/articles/PMC3145627?pdf=render
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