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An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
Published on: November 3, 2010
Common SNPs explain a large proportion of the heritability for human height
Jian Yang1, Beben Benyamin, Brian P McEvoy
1Queensland Institute of Medical Research, Brisbane, Queensland, Australia.
Nature Genetics
|June 22, 2010
Summary
Most human height heritability is not missing but undetected. By analyzing all single nucleotide polymorphisms (SNPs) together, researchers found 45% of genetic variance, revealing that individual SNP effects are too small for standard significance tests.
Area of Science:
- Human Genetics
- Complex Traits
- Statistical Genomics
Background:
- Genome-wide association studies (GWASs) identify single nucleotide polymorphisms (SNPs) associated with complex traits.
- SNPs identified by GWASs explain only a small portion of the genetic variation for complex human traits, leading to the 'missing heritability' problem.
Purpose of the Study:
- To estimate the proportion of genetic variance for human height explained by a large set of genotyped SNPs.
- To investigate the reasons for the 'missing heritability' in complex traits.
Main Methods:
- Linear model analysis was used to estimate the variance explained by 294,831 SNPs in 3,925 unrelated individuals.
- Simulation studies based on observed genotype data were performed to validate the estimation method.
Main Results:
- Considering all SNPs simultaneously, 45% of the variance in human height could be explained.
- The majority of heritability for complex traits is not missing but has been previously undetected due to small individual SNP effects.
Conclusions:
- The 'missing heritability' is largely due to the cumulative effect of many SNPs with small individual effects that do not reach statistical significance.
- Incomplete linkage disequilibrium and lower minor allele frequencies of causal variants contribute to the underestimation of heritability by traditional GWAS.
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