| Title: | Subsampling Technique to Estimate Variance Component for UK-Biobank Traits |
| Journal: | Frontiers in Genetics |
| Published: | 5 Mar 2021 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/33747041/ |
| DOI: | https://doi.org/10.3389/fgene.2021.612045 |
| URL: | https://www.frontiersin.org/articles/10.3389/fgene.2021.612045/pdf |
Publication 5784
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Abstract
The estimation of heritability has been an important question in statistical genetics. Due to the clear mathematical properties, the modified Haseman-Elston regression has been found a bridge that connects and develops various parallel heritability estimation methods. With the increasing sample size, estimating heritability for biobank-scale data poses a challenge for statistical computation, in particular that the calculation of the genetic relationship matrix is a huge challenge in statistical computation. Using the Haseman-Elston framework, in this study we explicitly analyzed the mathematical structure of the key term tr( K T K ), the trace of high-order term of the genetic relationship matrix, a component involved in the estimation procedure. In this study, we proposed two estimators, which can estimate tr( K T K ) with greatly reduced sampling variance compared to the existing method under the same computational complexity. We applied this method to 81 traits in UK Biobank data and compared the chromosome-wise partition heritability with the whole-genome heritability, also as an approach for testing polygenicity.</p>
5 Authors
- Ting Xu
- Guo-An Qi
- Jun Zhu
- Hai-Ming Xu
- Guo-Bo Chen
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