Literature DB >> 20562875

Common SNPs explain a large proportion of the heritability for human height.

Jian Yang1, Beben Benyamin, Brian P McEvoy, Scott Gordon, Anjali K Henders, Dale R Nyholt, Pamela A Madden, Andrew C Heath, Nicholas G Martin, Grant W Montgomery, Michael E Goddard, Peter M Visscher.   

Abstract

SNPs discovered by genome-wide association studies (GWASs) account for only a small fraction of the genetic variation of complex traits in human populations. Where is the remaining heritability? We estimated the proportion of variance for human height explained by 294,831 SNPs genotyped on 3,925 unrelated individuals using a linear model analysis, and validated the estimation method with simulations based on the observed genotype data. We show that 45% of variance can be explained by considering all SNPs simultaneously. Thus, most of the heritability is not missing but has not previously been detected because the individual effects are too small to pass stringent significance tests. We provide evidence that the remaining heritability is due to incomplete linkage disequilibrium between causal variants and genotyped SNPs, exacerbated by causal variants having lower minor allele frequency than the SNPs explored to date.

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Year:  2010        PMID: 20562875      PMCID: PMC3232052          DOI: 10.1038/ng.608

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  28 in total

1.  Are rare variants responsible for susceptibility to complex diseases?

Authors:  J K Pritchard
Journal:  Am J Hum Genet       Date:  2001-06-12       Impact factor: 11.025

2.  Predictions of patterns of response to artificial selection in lines derived from natural populations.

Authors:  Xu-Sheng Zhang; William G Hill
Journal:  Genetics       Date:  2005-01       Impact factor: 4.562

3.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

4.  Bias, precision and heritability of self-reported and clinically measured height in Australian twins.

Authors:  Stuart Macgregor; Belinda K Cornes; Nicholas G Martin; Peter M Visscher
Journal:  Hum Genet       Date:  2006-08-25       Impact factor: 4.132

Review 5.  Heritability in the genomics era--concepts and misconceptions.

Authors:  Peter M Visscher; William G Hill; Naomi R Wray
Journal:  Nat Rev Genet       Date:  2008-03-04       Impact factor: 53.242

6.  PLINK: a tool set for whole-genome association and population-based linkage analyses.

Authors:  Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham
Journal:  Am J Hum Genet       Date:  2007-07-25       Impact factor: 11.025

7.  Prediction of individual genetic risk to disease from genome-wide association studies.

Authors:  Naomi R Wray; Michael E Goddard; Peter M Visscher
Journal:  Genome Res       Date:  2007-09-04       Impact factor: 9.043

8.  The investigation of linkage between a quantitative trait and a marker locus.

Authors:  J K Haseman; R C Elston
Journal:  Behav Genet       Date:  1972-03       Impact factor: 2.805

9.  Mutations in the transmembrane domain of FGFR3 cause the most common genetic form of dwarfism, achondroplasia.

Authors:  R Shiang; L M Thompson; Y Z Zhu; D M Church; T J Fielder; M Bocian; S T Winokur; J J Wasmuth
Journal:  Cell       Date:  1994-07-29       Impact factor: 41.582

10.  Identification of ten loci associated with height highlights new biological pathways in human growth.

Authors:  Guillaume Lettre; Anne U Jackson; Christian Gieger; Fredrick R Schumacher; Sonja I Berndt; Serena Sanna; Susana Eyheramendy; Benjamin F Voight; Johannah L Butler; Candace Guiducci; Thomas Illig; Rachel Hackett; Iris M Heid; Kevin B Jacobs; Valeriya Lyssenko; Manuela Uda; Michael Boehnke; Stephen J Chanock; Leif C Groop; Frank B Hu; Bo Isomaa; Peter Kraft; Leena Peltonen; Veikko Salomaa; David Schlessinger; David J Hunter; Richard B Hayes; Gonçalo R Abecasis; H-Erich Wichmann; Karen L Mohlke; Joel N Hirschhorn
Journal:  Nat Genet       Date:  2008-04-06       Impact factor: 38.330

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  1785 in total

1.  Robust relationship inference in genome-wide association studies.

Authors:  Ani Manichaikul; Josyf C Mychaleckyj; Stephen S Rich; Kathy Daly; Michèle Sale; Wei-Min Chen
Journal:  Bioinformatics       Date:  2010-10-05       Impact factor: 6.937

2.  Using the gene ontology to scan multilevel gene sets for associations in genome wide association studies.

Authors:  Daniel J Schaid; Jason P Sinnwell; Gregory D Jenkins; Shannon K McDonnell; James N Ingle; Michiaki Kubo; Paul E Goss; Joseph P Costantino; D Lawrence Wickerham; Richard M Weinshilboum
Journal:  Genet Epidemiol       Date:  2011-12-07       Impact factor: 2.135

3.  Adaptive evolution of loci covarying with the human African Pygmy phenotype.

Authors:  Isabel Mendizabal; Urko M Marigorta; Oscar Lao; David Comas
Journal:  Hum Genet       Date:  2012-03-11       Impact factor: 4.132

4.  Estimating the contributions of rare and common genetic variations and clinical measures to a model trait: adiponectin.

Authors:  S Sandy An; Nicholette D Palmer; Anthony J G Hanley; Julie T Ziegler; W Mark Brown; Steven M Haffner; Jill M Norris; Jerome I Rotter; Xiuqing Guo; Y-D Ida Chen; Lynne E Wagenknecht; Carl D Langefeld; Donald W Bowden
Journal:  Genet Epidemiol       Date:  2012-10-02       Impact factor: 2.135

5.  REFINING GENETICALLY INFERRED RELATIONSHIPS USING TREELET COVARIANCE SMOOTHING.

Authors:  Andrew Crossett; Ann B Lee; Lambertus Klei; Bernie Devlin; Kathryn Roeder
Journal:  Ann Appl Stat       Date:  2013-06-27       Impact factor: 2.083

6.  Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index.

Authors:  Jason D Boardman; Benjamin W Domingue; Casey L Blalock; Brett C Haberstick; Kathleen Mullan Harris; Matthew B McQueen
Journal:  Demography       Date:  2014-02

7.  BAYESIAN LARGE-SCALE MULTIPLE REGRESSION WITH SUMMARY STATISTICS FROM GENOME-WIDE ASSOCIATION STUDIES.

Authors:  Xiang Zhu; Matthew Stephens
Journal:  Ann Appl Stat       Date:  2017-10-05       Impact factor: 2.083

8.  Trans Effects on Gene Expression Can Drive Omnigenic Inheritance.

Authors:  Xuanyao Liu; Yang I Li; Jonathan K Pritchard
Journal:  Cell       Date:  2019-05-02       Impact factor: 41.582

9.  Estimation of heritability for nine common cancers using data from genome-wide association studies in Chinese population.

Authors:  Juncheng Dai; Wei Shen; Wanqing Wen; Jiang Chang; Tongmin Wang; Haitao Chen; Guangfu Jin; Hongxia Ma; Chen Wu; Lian Li; Fengju Song; YiXin Zeng; Yue Jiang; Jiaping Chen; Cheng Wang; Meng Zhu; Wen Zhou; Jiangbo Du; Yongbing Xiang; Xiao-Ou Shu; Zhibin Hu; Weiping Zhou; Kexin Chen; Jianfeng Xu; Weihua Jia; Dongxin Lin; Wei Zheng; Hongbing Shen
Journal:  Int J Cancer       Date:  2016-10-11       Impact factor: 7.396

10.  Associations between loneliness and personality are mostly driven by a genetic association with Neuroticism.

Authors:  Abdel Abdellaoui; Hsi-Yuan Chen; Gonneke Willemsen; Erik A Ehli; Gareth E Davies; Karin J H Verweij; Michel G Nivard; Eco J C de Geus; Dorret I Boomsma; John T Cacioppo
Journal:  J Pers       Date:  2018-08-02
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