Nature CommunicationsGenomicsPeer-reviewed journal article
Genome-wide profiling of highly similar paralogous genes using HiFi sequencing
Xiao CheniD, Daniel Baker, Egor DolzhenkoiD, Joseph M. DevaneyiD, Jessica Noya, April S. Berlyoung, Rhonda C. Brandon, Kathleen S. HruskaiD, Lucas LochovskyiD, Paul S. KruszkaiD, Scott NewmaniD, Emily FarrowiD, Isabelle ThiffaultiD, Tomi PastineniD, Dalia KasperavičiūtėiD, Christian GilisseniD, Lisenka E.L.M. VissersiD, Alexander HoischeniD, Seth BergeriD, Eric J. N. VilainiD, Emmanuèle C. DélotiD, Andrea Cohen, Arthur KoiD, Georgia PitsavaiD, Lightning AurigaiD, , Michael A. EberleiD
Abstract
Variant calling is hindered in segmental duplications by sequence homology. We developed Paraphase, a HiFi-based informatics method that resolves highly similar genes by phasing all haplotypes of a gene family. We applied Paraphase to 160 long (>10 kb) segmental duplication regions across the human genome with high (>99%) sequence similarity, encoding 316 genes. Analysis across five ancestral populations revealed highly variable copy numbers of these regions. We identified 23 families with exceptionally low within-family diversity, where extensive gene conversion and unequal-crossing over have resulted in highly similar gene copies. Furthermore, our analysis of 36 trios identified 7 de novo SNVs and 4 de novo gene conversion events, 2 of which are non-allelic. Finally, we summarized extensive genetic diversity in 9 medically relevant genes previously considered challenging to genotype. Paraphase provides a framework for resolving gene paralogs, enabling accurate testing in medically relevant genes and population-wide studies of previously inaccessible genes.
- organism: human
- assay: whole-genome sequencing
- research focus: variant calling
- research focus: gene regulatory network inference
- research focus: benchmarking
- approach: statistical model
- approach: experimental assay
- Citations
- 18
- FWCI
- 12.28
- Field percentile
- top 1%
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