Literature DB >> 22821350

Heritability in the genome-wide association era.

Noah Zaitlen1, Peter Kraft.   

Abstract

Heritability, the fraction of phenotypic variation explained by genetic variation, has been estimated for many phenotypes in a range of populations, organisms, and time points. The recent development of efficient genotyping and sequencing technology has led researchers to attempt to identify the genetic variants responsible for the genetic component of phenotype directly via GWAS. The gap between the phenotypic variance explained by GWAS results and those estimated from classical heritability methods has been termed the "missing heritability problem". In this work, we examine modern methods for estimating heritability, which use the genotype and sequence data directly. We discuss them in the context of classical heritability methods, the missing heritability problem, and describe their implications for understanding the genetic architecture of complex phenotypes.

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Year:  2012        PMID: 22821350      PMCID: PMC3432754          DOI: 10.1007/s00439-012-1199-6

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


  48 in total

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4.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

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5.  Increased accuracy of artificial selection by using the realized relationship matrix.

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6.  Personal genomes: The case of the missing heritability.

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Journal:  Nature       Date:  2008-11-06       Impact factor: 49.962

7.  Evaluating the heritability explained by known susceptibility variants: a survey of ten complex diseases.

Authors:  Hon-Cheong So; Allen H S Gui; Stacey S Cherny; Pak C Sham
Journal:  Genet Epidemiol       Date:  2011-03-03       Impact factor: 2.135

8.  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

9.  Single-tissue and cross-tissue heritability of gene expression via identity-by-descent in related or unrelated individuals.

Authors:  Alkes L Price; Agnar Helgason; Gudmar Thorleifsson; Steven A McCarroll; Augustine Kong; Kari Stefansson
Journal:  PLoS Genet       Date:  2011-02-24       Impact factor: 5.917

10.  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

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  75 in total

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Review 2.  Post-GWAS: where next? More samples, more SNPs or more biology?

Authors:  P Marjoram; A Zubair; S V Nuzhdin
Journal:  Heredity (Edinb)       Date:  2013-06-12       Impact factor: 3.821

3.  Underestimation of heritability using a mixed model with a polygenic covariance structure in a genome-wide association study for complex traits.

Authors:  Hyunju Ryoo; Chaeyoung Lee
Journal:  Eur J Hum Genet       Date:  2013-10-23       Impact factor: 4.246

4.  What Is the Heritability of Periodontitis? A Systematic Review.

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5.  Leaf Photosynthetic Parameters Related to Biomass Accumulation in a Global Rice Diversity Survey.

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6.  Estimating the heritability of colorectal cancer.

Authors:  Shuo Jiao; Ulrike Peters; Sonja Berndt; Hermann Brenner; Katja Butterbach; Bette J Caan; Christopher S Carlson; Andrew T Chan; Jenny Chang-Claude; Stephen Chanock; Keith R Curtis; David Duggan; Jian Gong; Tabitha A Harrison; Richard B Hayes; Brian E Henderson; Michael Hoffmeister; Laurence N Kolonel; Loic Le Marchand; John D Potter; Anja Rudolph; Robert E Schoen; Daniela Seminara; Martha L Slattery; Emily White; Li Hsu
Journal:  Hum Mol Genet       Date:  2014-02-21       Impact factor: 6.150

7.  The nature of confounding in genome-wide association studies.

Authors:  Bjarni J Vilhjálmsson; Magnus Nordborg
Journal:  Nat Rev Genet       Date:  2012-11-20       Impact factor: 53.242

8.  Improving the accuracy and efficiency of partitioning heritability into the contributions of genomic regions.

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Journal:  Am J Hum Genet       Date:  2013-04-04       Impact factor: 11.025

9.  Confidence intervals for heritability via Haseman-Elston regression.

Authors:  Tamar Sofer
Journal:  Stat Appl Genet Mol Biol       Date:  2017-09-26

10.  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

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