Cited by 892Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestockGenetic Mapping and Diversity in Plants and Animals

Genome partitioning of genetic variation for complex traits using common SNPs

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Yang, Jian, Manolio, Teri A, Pasquale, Louis R, Boerwinkle, Eric, Caporaso, Neil, Cunningham, Julie M, de Andrade, Mariza, Feenstra, Bjarke +16 more·2011·Nature Genetics

Abstract

We estimate and partition genetic variation for height, body mass index (BMI), von Willebrand factor and QT interval (QTi) using 586,898 SNPs genotyped on 11,586 unrelated individuals. We estimate that ∼45%, ∼17%, ∼25% and ∼21% of the variance in height, BMI, von Willebrand factor and QTi, respectively, can be explained by all autosomal SNPs and a further ∼0.5-1% can be explained by X chromosome SNPs. We show that the variance explained by each chromosome is proportional to its length, and that SNPs in or near genes explain more variation than SNPs between genes. We propose a new approach to estimate variation due to cryptic relatedness and population stratification. Our results provide further evidence that a substantial proportion of heritability is captured by common SNPs, that height, BMI and QTi are highly polygenic traits, and that the additive variation explained by a part of the genome is approximately proportional to the total length of DNA contained within genes therein.

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  • Partitioning genetic variance by chromosome for diverse traits shows the proportion of variance explained is consistently proportional to chromosome length.

    “partitioning of the genetic variance on a chromosome-by-chromosome basis, for a diverse set of traits, shows that the proportion of variance explained is consistently proportional to chromosome length75,76.”

    From Rare and common variants: twenty arguments (2012) · cites this paper as [75]

  • It is unclear whether the same methods are as efficient for schizophrenia, arthritis, or intelligence.

    “and it is not clear that they are as efficient for schizophrenia, arthritis or intelligence75,76.”

    From Rare and common variants: twenty arguments (2012) · cites this paper as [75]

  • For BMI, those methods recover only about half or slightly more of the expected genotypic variance.

    “Yet the same methods applied to BMI do not capture much more than half of the expected genotypic variance, and it is not clear that they are as efficient for schizophrenia, arthritis or intelligence75,76.”

    From Rare and common variants: twenty arguments (2012) · cites this paper as [75]

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Authors
Yang, J., Manolio, T. A., Pasquale, L. R., Boerwinkle, E., Caporaso, N., Cunningham, J. M., de Andrade, M., Feenstra, B., Feingold, E., Hayes, M. G., Hill, W. G., Landi, M. T., Alonso, A., Lettre, G., Lin, P., Ling, H., Lowe, W., Mathias, R. A., Melbye, M., Pugh, E., Cornelis, M. C., Weir, B. S., Goddard, M. E., & Visscher, P. M.
Affiliations
  • QIMR Berghofer Medical Research Institute (AU)
  • National Institutes of Health (US)
  • Massachusetts Eye and Ear Infirmary (US)
  • The University of Texas Health Science Center at Houston (US)
  • Mayo Clinic (US)
  • Statens Serum Institut (DK)
  • University of Pittsburgh (US)
  • Northwestern University (US)
  • University of Edinburgh (GB)
  • Montreal Heart Institute (CA)
  • Washington University in St. Louis (US)
  • Johns Hopkins University (US)
  • Harvard University (US)
  • University of Washington (US)
  • The University of Melbourne (AU)
Corresponding author
Visscher, Peter M
Venue
Nature Genetics
Published
2011-05-08
Volume
43
Issue
6
Pages
519-525
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W2080235308
Cited by
890
References
46
Citations by year
2026: 20 · 2025: 31 · 2024: 24 · 2023: 30 · 2022: 45 · 2021: 43 · 2020: 53 · 2019: 71 · 2018: 74 · 2017: 66 · 2016: 69 · 2015: 70 · 2014: 97 · 2013: 103 · 2012: 82
FWCI
58.06
Type
journal article
Language
en
Open access
Locations
  • Nature Genetics (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
Funders
  • Canadian Institutes of Health Research
  • National Human Genome Research Institute (U01HG04424, U01HG004399, U01HG004402, U01HG004728, U01HG004446, U01HG004424)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
Keywords
genome partitioning, common SNPs, complex traits, heritability, height, body mass index, von Willebrand factor, QT interval, polygenic traits, cryptic relatedness, population stratification, chromosome length, gene length, additive genetic variance
MeSH terms
Body Height, Chromosomes, Genetics, Population, Humans, Models, Genetic, Genetic Variation, von Willebrand Factor, Body Mass Index, Polymorphism, Single Nucleotide, Chromosomes, Human, X, X Chromosome Inactivation, Genome-Wide Association Study

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