This is a preprint.
Biobank-scale inference of multi-individual identity by descent and gene conversion
- PMID: 37961601
- PMCID: PMC10635131
- DOI: 10.1101/2023.11.03.565574
Biobank-scale inference of multi-individual identity by descent and gene conversion
Update in
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Biobank-scale inference of multi-individual identity by descent and gene conversion.Am J Hum Genet. 2024 Apr 4;111(4):691-700. doi: 10.1016/j.ajhg.2024.02.015. Epub 2024 Mar 20. Am J Hum Genet. 2024. PMID: 38513668 Free PMC article.
Abstract
We present a method for efficiently identifying clusters of identical-by-descent haplotypes in biobank-scale sequence data. Our multi-individual approach enables much more efficient collection and storage of identity by descent (IBD) information than approaches that detect and store pairwise IBD segments. Our method's computation time, memory requirements, and output size scale linearly with the number of individuals in the dataset. We also present a method for using multi-individual IBD to detect alleles changed by gene conversion. Application of our methods to the autosomal sequence data for 125,361 White British individuals in the UK Biobank detects more than 9 million converted alleles. This is 2900 times more alleles changed by gene conversion than were detected in a previous analysis of familial data. We estimate that more than 250,000 sequenced probands and a much larger number of additional genomes from multi-generational family members would be required to find a similar number of alleles changed by gene conversion using a family-based approach.
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References
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- Browning S.R., and Browning B.L. (2012). Identity by descent between distant relatives: detection and applications. Annual Review of Genetics 46, 617–633. - PubMed
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- Te Meerman G.J., Van Der Meulen M.A., and Sandkuijl L.A. (1995). Perspectives of identity by descent (IBD) mapping in founder populations. Clinical & Experimental Allergy 25, 97–102. - PubMed
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