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In this study, CRM2 has been validated by the fact that we show that it has a tendency to reduce the missing heritability and increase the phenotype accuracy for a moderately heritable complex trait in two bovine populations.
For these two bovine populations, CRM reduced the missing heritability and increased the amount of explained genetic variation for a moderately heritable complex trait.
So where is the missing heritability and why has it not showed up?
However, it is still a challenging task to extract biological knowledge from the GWAS data, due to such issues as missing heritability and weak interpretability.
Here we examine potential sources of missing heritability and propose research strategies, including and extending beyond current genome-wide association approaches, to illuminate the genetics of complex diseases and enhance its potential to enable effective disease prevention or treatment.
Potential sources of missing heritability and research strategies to elucidate the genetics of complex diseases have been proposed [ 12].
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The discrepancy between the GCTA-based heritability and twin study estimates of heritability is sometimes referred to as the missing heritability problem, and can be attributed to incomplete linkage disequilibrium between the SNPs on DNA arrays and other causal genetic variants.
The present article considers reasons for the missing heritability problem and possible solutions.
In order to fully characterize this missing heritability, larger and larger sample sizes are going to be required to improve statistical power.
Dozens of articles have been published about the missing heritability problem and ways to solve the problem, although as yet there is no consensus (e.g., Eichler et al., 2010; Frazer, Murray, Schork, & Topol, 2009; Ku, Loy, Pawitan, & Chia, 2010; Manolio et al., 2009; McCarthy et al., 2008).
The average missing heritability was 43.3 and 39.4 % for the BB and TC cows, respectively.
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