| Title: | Sibling variation in polygenic traits and DNA recombination mapping with UK Biobank and IVF family data |
| Journal: | Scientific Reports |
| Published: | 7 Jan 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36611071/ |
| DOI: | https://doi.org/10.1038/s41598-023-27561-z |
| URL: | https://www.nature.com/articles/s41598-023-27561-z.pdf |
| Citations: | 8 (8 in last 2 years) as of 8 Aug 2024 |
Publication 10940
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Abstract
We use UK Biobank and a unique IVF family dataset (including genotyped embryos) to investigate sibling variation in both phenotype and genotype. We compare phenotype (disease status, height, blood biomarkers) and genotype (polygenic scores, polygenic health index) distributions among siblings to those in the general population. As expected, the between-siblings standard deviation in polygenic scores is 2$$\sqrt{2}$$ times smaller than in the general population, but variation is still significant. As previously demonstrated, this allows for substantial benefit from polygenic screening in IVF. Differences in sibling genotypes result from distinct recombination patterns in sexual reproduction. We develop a novel sibling-pair method for detection of recombination breaks via statistical discontinuities. The new method is used to construct a dataset of 1.44 million recombination events which may be useful in further study of meiosis.</p>
4 Authors
- Louis Lello
- Maximus Hsu
- Erik Widen
- Timothy G. Raben
1 Application
| Application ID | Title |
|---|---|
| 15326 | Compressed Sensing and high-dimensional statistical methods in complex trait genomics |
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