Work

Haplotypes of common SNPs can explain missing heritability of complex diseases

Year: 2015
Type: preprint
Abstract: While genome-wide significant associations generally explain only a small proportion of the narrow-sense heritability of complex disease ( h 2 ), recent work has shown that more heritability is explained by all genotyped SNPs ( h g 2 ). However, much of the heritability is still missing ( h g 2 < h 2 ). For example, for schizophrenia, h 2 is estimated at 0.7-0.8 but h g 2 is estimated at ∼0.3. Efforts at increasing coverage through accurately imputed variants have yielded only small increases in the heritability explained, and poorly imputed variants can lead to assay artifacts for case-control traits. We propose to estimate the heritability explained by a set of haplotype variants (haploSNPs) constructed directly from the study sample ( h hap 2 ). Our method constructs a set of haplotypes from phased genotypes by extending shared haplotypes subject to the 4-gamete test. In a large schizophrenia data set (PGC2-SCZ), haploSNPs with MAF > 0.1% explained substantially more phenotypic variance ( h hap 2 = 0.64 (S.E. 0.084)) than genotyped SNPs alone ( h g 2 = 0.32 (S.E. 0.029)). These estimates were based on cross-cohort comparisons, ensuring that cohort-specific assay artifacts did not contribute to our estimates. In a large multiple sclerosis data set (WTCCC2-MS), we observed an even larger difference between h hap 2 and h g 2 , though data from other cohorts will be required to validate this result. Overall, our results suggest that haplotypes of common SNPs can explain a large fraction of missing heritability of complex disease, shedding light on genetic architecture and informing disease mapping strategies.
Language: English
Subfield: Genetics
Open Access status: green
OpenAlex ID: W2290448452
Cites: 39
Cited by: 18
Related to: 10