Literature DB >> 24744256

Conditions for the validity of SNP-based heritability estimation.

James J Lee1, Carson C Chow.   

Abstract

The heritability of a trait (h(2)) is the proportion of its population variance caused by genetic differences, and estimates of this parameter are important for interpreting the results of genome-wide association studies (GWAS). In recent years, researchers have adopted a novel method for estimating a lower bound on heritability directly from GWAS data that uses realized genetic similarities between nominally unrelated individuals. The quantity estimated by this method is purported to be the contribution to heritability that could in principle be recovered from association studies employing the given panel of SNPs (h(2)(SNP)). Thus far, the validity of this approach has mostly been tested empirically. Here, we provide a mathematical explication and show that the method should remain a robust means of obtaining h(2)(SNP)) under circumstances wider than those under which it has so far been derived.

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Year:  2014        PMID: 24744256      PMCID: PMC4159725          DOI: 10.1007/s00439-014-1441-5

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  34 in total

1.  The mystery of missing heritability: Genetic interactions create phantom heritability.

Authors:  Or Zuk; Eliana Hechter; Shamil R Sunyaev; Eric S Lander
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-05       Impact factor: 11.205

2.  Distribution of allele frequencies and effect sizes and their interrelationships for common genetic susceptibility variants.

Authors:  Ju-Hyun Park; Mitchell H Gail; Clarice R Weinberg; Raymond J Carroll; Charles C Chung; Zhaoming Wang; Stephen J Chanock; Joseph F Fraumeni; Nilanjan Chatterjee
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-14       Impact factor: 11.205

3.  Estimation of SNP heritability from dense genotype data.

Authors:  S Hong Lee; Jian Yang; Guo-Bo Chen; Stephan Ripke; Eli A Stahl; Christina M Hultman; Pamela Sklar; Peter M Visscher; Patrick F Sullivan; Michael E Goddard; Naomi R Wray
Journal:  Am J Hum Genet       Date:  2013-12-05       Impact factor: 11.025

4.  Inferences from genomic models in stratified populations.

Authors:  Luc Janss; Gustavo de Los Campos; Nuala Sheehan; Daniel Sorensen
Journal:  Genetics       Date:  2012-07-18       Impact factor: 4.562

5.  The influence of the mating system on the maintenance of genetic variability in polygenic characters.

Authors:  R Lande
Journal:  Genetics       Date:  1977-06       Impact factor: 4.562

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

Authors:  Jian Yang; 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
Journal:  Nat Genet       Date:  2010-06-20       Impact factor: 38.330

7.  Genome partitioning of genetic variation for complex traits using common SNPs.

Authors:  Jian Yang; Teri A Manolio; Louis R Pasquale; Eric Boerwinkle; Neil Caporaso; Julie M Cunningham; Mariza de Andrade; Bjarke Feenstra; Eleanor Feingold; M Geoffrey Hayes; William G Hill; Maria Teresa Landi; Alvaro Alonso; Guillaume Lettre; Peng Lin; Hua Ling; William Lowe; Rasika A Mathias; Mads Melbye; Elizabeth Pugh; Marilyn C Cornelis; Bruce S Weir; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2011-05-08       Impact factor: 38.330

8.  Why it is hard to find genes associated with social science traits: theoretical and empirical considerations.

Authors:  Christopher F Chabris; James J Lee; Daniel J Benjamin; Jonathan P Beauchamp; Edward L Glaeser; Gregoire Borst; Steven Pinker; David I Laibson
Journal:  Am J Public Health       Date:  2013-08-08       Impact factor: 9.308

9.  Synthetic associations created by rare variants do not explain most GWAS results.

Authors:  Naomi R Wray; Shaun M Purcell; Peter M Visscher
Journal:  PLoS Biol       Date:  2011-01-18       Impact factor: 8.029

10.  DNA evidence for strong genome-wide pleiotropy of cognitive and learning abilities.

Authors:  Maciej Trzaskowski; Oliver S P Davis; John C DeFries; Jian Yang; Peter M Visscher; Robert Plomin
Journal:  Behav Genet       Date:  2013-04-23       Impact factor: 2.805

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  16 in total

1.  Misspecification in Mixed-Model-Based Association Analysis.

Authors:  Willem Kruijer
Journal:  Genetics       Date:  2015-11-19       Impact factor: 4.562

Review 2.  Missing heritability of complex diseases: case solved?

Authors:  Emmanuelle Génin
Journal:  Hum Genet       Date:  2019-06-04       Impact factor: 4.132

3.  On the reconciliation of missing heritability for genome-wide association studies.

Authors:  Guo-Bo Chen
Journal:  Eur J Hum Genet       Date:  2016-07-20       Impact factor: 4.246

4.  Accurate Genomic Prediction of Human Height.

Authors:  Louis Lello; Steven G Avery; Laurent Tellier; Ana I Vazquez; Gustavo de Los Campos; Stephen D H Hsu
Journal:  Genetics       Date:  2018-08-27       Impact factor: 4.562

5.  Biologically Defined or Biologically Informed Traits Are More Heritable Than Clinically Defined Ones: The Case of Oral and Dental Phenotypes.

Authors:  Cary S Agler; Kevin Moss; Kamaira H Philips; Julie T Marchesan; Miguel Simancas-Pallares; James D Beck; Kimon Divaris
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

6.  Genetic and environmental contributions to IQ in adoptive and biological families with 30-year-old offspring.

Authors:  Emily A Willoughby; Matt McGue; William G Iacono; James J Lee
Journal:  Intelligence       Date:  2021-08-25

Review 7.  The genetics of early-onset bipolar disorder: A systematic review.

Authors:  Kevin P Kennedy; Kathryn R Cullen; Colin G DeYoung; Bonnie Klimes-Dougan
Journal:  J Affect Disord       Date:  2015-05-15       Impact factor: 4.839

8.  The Fourth Law of Behavior Genetics.

Authors:  Christopher F Chabris; James J Lee; David Cesarini; Daniel J Benjamin; David I Laibson
Journal:  Curr Dir Psychol Sci       Date:  2015-07-01

9.  Applying compressed sensing to genome-wide association studies.

Authors:  Shashaank Vattikuti; James J Lee; Christopher C Chang; Stephen D H Hsu; Carson C Chow
Journal:  Gigascience       Date:  2014-06-16       Impact factor: 6.524

10.  Application of linear mixed models to study genetic stability of height and body mass index across countries and time.

Authors:  Maciej Trzaskowski; Paul Lichtenstein; Patrik K Magnusson; Nancy L Pedersen; Robert Plomin
Journal:  Int J Epidemiol       Date:  2016-01-27       Impact factor: 7.196

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