Evidence for substantial fine-scale variation in recombination rates across the human genome - PubMed (original) (raw)
doi: 10.1038/ng1376. Epub 2004 Jun 6.
Affiliations
- PMID: 15184900
- DOI: 10.1038/ng1376
Evidence for substantial fine-scale variation in recombination rates across the human genome
Dana C Crawford et al. Nat Genet. 2004 Jul.
Abstract
Characterizing fine-scale variation in human recombination rates is important, both to deepen understanding of the recombination process and to aid the design of disease association studies. Current genetic maps show that rates vary on a megabase scale, but studying finer-scale variation using pedigrees is difficult. Sperm-typing experiments have characterized regions where crossovers cluster into 1-2-kb hot spots, but technical difficulties limit the number of studies. An alternative is to use population variation to infer fine-scale characteristics of the recombination process. Several surveys reported 'block-like' patterns of diversity, which may reflect fine-scale recombination rate variation, but limitations of available methods made this impossible to assess. Here, we applied a new statistical method, which overcomes these limitations, to infer patterns of fine-scale recombination rate variation in 74 genes. We found extensive rate variation both within and among genes. In particular, recombination hot spots are a common feature of the human genome: 47% (35 of 74) of genes showed substantive evidence for a hot spot, and many more showed evidence for some rate variation. No primary sequence characteristics are consistently associated with precise hot-spot location, although G+C content and nucleotide diversity are correlated with local recombination rate.
Similar articles
- Human genome sequence variation and the influence of gene history, mutation and recombination.
Reich DE, Schaffner SF, Daly MJ, McVean G, Mullikin JC, Higgins JM, Richter DJ, Lander ES, Altshuler D. Reich DE, et al. Nat Genet. 2002 Sep;32(1):135-42. doi: 10.1038/ng947. Epub 2002 Aug 5. Nat Genet. 2002. PMID: 12161752 - Recombination rate estimation in the presence of hotspots.
Auton A, McVean G. Auton A, et al. Genome Res. 2007 Aug;17(8):1219-27. doi: 10.1101/gr.6386707. Epub 2007 Jul 10. Genome Res. 2007. PMID: 17623807 Free PMC article. - Human recombination hot spots hidden in regions of strong marker association.
Jeffreys AJ, Neumann R, Panayi M, Myers S, Donnelly P. Jeffreys AJ, et al. Nat Genet. 2005 Jun;37(6):601-6. doi: 10.1038/ng1565. Epub 2005 May 8. Nat Genet. 2005. PMID: 15880103 - Estimating recombination rates from population-genetic data.
Stumpf MP, McVean GA. Stumpf MP, et al. Nat Rev Genet. 2003 Dec;4(12):959-68. doi: 10.1038/nrg1227. Nat Rev Genet. 2003. PMID: 14631356 Review. - The patterns of natural variation in human genes.
Crawford DC, Akey DT, Nickerson DA. Crawford DC, et al. Annu Rev Genomics Hum Genet. 2005;6:287-312. doi: 10.1146/annurev.genom.6.080604.162309. Annu Rev Genomics Hum Genet. 2005. PMID: 16124863 Review.
Cited by
- Deciphering the tissue-specific functional effect of Alzheimer risk SNPs with deep genome annotation.
Pugalenthi PV, He B, Xie L, Nho K, Saykin AJ, Yan J. Pugalenthi PV, et al. BioData Min. 2024 Nov 13;17(1):50. doi: 10.1186/s13040-024-00400-1. BioData Min. 2024. PMID: 39538253 Free PMC article. - Genomic prediction of carcass traits using different haplotype block partitioning methods in beef cattle.
Li H, Wang Z, Xu L, Li Q, Gao H, Ma H, Cai W, Chen Y, Gao X, Zhang L, Gao H, Zhu B, Xu L, Li J. Li H, et al. Evol Appl. 2022 Nov 14;15(12):2028-2042. doi: 10.1111/eva.13491. eCollection 2022 Dec. Evol Appl. 2022. PMID: 36540636 Free PMC article. - Variation in fine-scale recombination rate in temperature-evolved Drosophila melanogaster populations in response to selection.
Winbush A, Singh ND. Winbush A, et al. G3 (Bethesda). 2022 Sep 30;12(10):jkac208. doi: 10.1093/g3journal/jkac208. G3 (Bethesda). 2022. PMID: 35961026 Free PMC article. - High-Resolution Estimates of Crossover and Noncrossover Recombination from a Captive Baboon Colony.
Wall JD, Robinson JA, Cox LA. Wall JD, et al. Genome Biol Evol. 2022 Apr 10;14(4):evac040. doi: 10.1093/gbe/evac040. Genome Biol Evol. 2022. PMID: 35325119 Free PMC article. - Evolution of Recombination Landscapes in Diverging Populations of Bread Wheat.
Danguy des Déserts A, Bouchet S, Sourdille P, Servin B. Danguy des Déserts A, et al. Genome Biol Evol. 2021 Aug 3;13(8):evab152. doi: 10.1093/gbe/evab152. Genome Biol Evol. 2021. PMID: 34185074 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials