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

Recently, an increasing number of susceptibility variants have been identified for complex diseases. At the same time, the concern of “missing heritability” has also emerged. There is however no unified way to assess the heritability explained by individual genetic variants for binary outcomes. A systemic and quantitative assessment of the degree of “missing heritability” for complex diseases is lacking. In this study, we measure the variance in liability explained by individual variants, which can be directly interpreted as the locus‐specific heritability. The method is extended to deal with haplotypes, multi‐allelic markers, multi‐locus genotypes, and markers in linkage disequilibrium. Methods to estimate the standard error and confidence interval are proposed. To assess our current level of understanding of the genetic basis of complex diseases, we conducted a survey of 10 diseases, evaluating the total variance explained by the known variants. The diseases under evaluation included Alzheimer's disease, bipolar disorder, breast cancer, coronary artery disease, Crohn's disease, prostate cancer, schizophrenia, systemic lupus erythematosus (SLE), type 1 diabetes and type 2 diabetes. The median total variance explained across the 10 diseases was 9.81%, while the median variance explained per associated SNP was around 0.25%. Our results suggest that a substantial proportion of heritability remains unexplained for the diseases under study. Programs to implement the methodologies described in this paper are available at http://sites.google.com/site/honcheongso/software/varexp. Genet. Epidemiol. 2011. © 2011 Wiley‐Liss, Inc. 35:310‐317, 2011

[1]  A. Yashin,et al.  A correlated frailty model with long‐term survivors for estimating the heritability of breast cancer , 2007, Statistics in medicine.

[2]  Simon Heath,et al.  Novel Crohn Disease Locus Identified by Genome-Wide Association Maps to a Gene Desert on 5p13.1 and Modulates Expression of PTGER4 , 2007, PLoS genetics.

[3]  Simon C. Potter,et al.  Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.

[4]  M. Tsolaki,et al.  Genetic association of acyl-coenzyme A: cholesterol acyltransferase with cerebrospinal fluid cholesterol levels, brain amyloid load, and risk for Alzheimer's disease , 2003, Molecular Psychiatry.

[5]  M. Kenward,et al.  An Introduction to the Bootstrap , 2007 .

[6]  Judy H Cho,et al.  Genome-wide association study identifies new susceptibility loci for Crohn disease and implicates autophagy in disease pathogenesis , 2007, Nature Genetics.

[7]  E. Lehmann Elements of large-sample theory , 1998 .

[8]  Taylor J. Maxwell,et al.  A scan of chromosome 10 identifies a novel locus showing strong association with late-onset Alzheimer disease. , 2006, American journal of human genetics.

[9]  Jianxin Shi,et al.  Common variants on chromosome 6p22.1 are associated with schizophrenia , 2009, Nature.

[10]  D. Falconer The inheritance of liability to certain diseases, estimated from the incidence among relatives , 1965 .

[11]  D. Clayton,et al.  Genome-wide association study and meta-analysis finds over 40 loci affect risk of type 1 diabetes , 2009, Nature Genetics.

[12]  P. Sham,et al.  Effect Size Measures in Genetic Association Studies and Age-Conditional Risk Prediction , 2010, Human Heredity.

[13]  James E. Allen,et al.  T1DBase: integration and presentation of complex data for type 1 diabetes research , 2006, Nucleic Acids Res..

[14]  N. Risch Linkage strategies for genetically complex traits. I. Multilocus models. , 1990, American journal of human genetics.

[15]  Pall I. Olason,et al.  Common variants conferring risk of schizophrenia , 2009, Nature.

[16]  F. Collins,et al.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits , 2009, Proceedings of the National Academy of Sciences.

[17]  Chad Garner,et al.  Upward bias in odds ratio estimates from genome‐wide association studies , 2007, Genetic epidemiology.

[18]  Francis S Collins,et al.  A HapMap harvest of insights into the genetics of common disease. , 2008, The Journal of clinical investigation.

[19]  Peter M Visscher,et al.  Sizing up human height variation , 2008, Nature Genetics.

[20]  K. Mossman The Wellcome Trust Case Control Consortium, U.K. , 2008 .

[21]  A. Yashin,et al.  Genetic analysis of durations: Correlated frailty model applied to survival of Danish twins , 1995, Genetic epidemiology.

[22]  F. Dudbridge,et al.  Estimation of significance thresholds for genomewide association scans , 2008, Genetic epidemiology.

[23]  D. St. Clair,et al.  Copy number variation and schizophrenia. , 2009, Schizophrenia bulletin.

[24]  N. Risch Linkage strategies for genetically complex traits. II. The power of affected relative pairs. , 1990, American journal of human genetics.

[25]  P. Visscher,et al.  Common polygenic variation contributes to risk of schizophrenia and bipolar disorder , 2009, Nature.

[26]  D. Blacker,et al.  Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database , 2007, Nature Genetics.

[27]  Judy H. Cho,et al.  Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease , 2008, Nature Genetics.

[28]  J. Pritchard,et al.  Overcoming the winner's curse: estimating penetrance parameters from case-control data. , 2007, American journal of human genetics.

[29]  B. Efron Better Bootstrap Confidence Intervals , 1987 .

[30]  Judy H. Cho,et al.  Finding the missing heritability of complex diseases , 2009, Nature.