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Non-crossover gene conversions show strong GC bias and unexpected clustering in humans
Although the past decade has seen tremendous progress in our understanding of fine-scale recombination, little is known about non-crossover (NCO) gene conversion. We report the first genome-wide study of NCO events in humans. Using SNP array data from 98 meioses, we identified 103 sites affected by...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404656/ https://www.ncbi.nlm.nih.gov/pubmed/25806687 http://dx.doi.org/10.7554/eLife.04637 |
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author | Williams, Amy L Genovese, Giulio Dyer, Thomas Altemose, Nicolas Truax, Katherine Jun, Goo Patterson, Nick Myers, Simon R Curran, Joanne E Duggirala, Ravi Blangero, John Reich, David Przeworski, Molly |
author_facet | Williams, Amy L Genovese, Giulio Dyer, Thomas Altemose, Nicolas Truax, Katherine Jun, Goo Patterson, Nick Myers, Simon R Curran, Joanne E Duggirala, Ravi Blangero, John Reich, David Przeworski, Molly |
author_sort | Williams, Amy L |
collection | PubMed |
description | Although the past decade has seen tremendous progress in our understanding of fine-scale recombination, little is known about non-crossover (NCO) gene conversion. We report the first genome-wide study of NCO events in humans. Using SNP array data from 98 meioses, we identified 103 sites affected by NCO, of which 50/52 were confirmed in sequence data. Overlap with double strand break (DSB) hotspots indicates that most of the events are likely of meiotic origin. We estimate that a site is involved in a NCO at a rate of 5.9 × 10(−6)/bp/generation, consistent with sperm-typing studies, and infer that tract lengths span at least an order of magnitude. Observed NCO events show strong allelic bias at heterozygous AT/GC SNPs, with 68% (58–78%) transmitting GC alleles (p = 5 × 10(−4)). Strikingly, in 4 of 15 regions with resequencing data, multiple disjoint NCO tracts cluster in close proximity (∼20–30 kb), a phenomenon not previously seen in mammals. DOI: http://dx.doi.org/10.7554/eLife.04637.001 |
format | Online Article Text |
id | pubmed-4404656 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-44046562015-04-22 Non-crossover gene conversions show strong GC bias and unexpected clustering in humans Williams, Amy L Genovese, Giulio Dyer, Thomas Altemose, Nicolas Truax, Katherine Jun, Goo Patterson, Nick Myers, Simon R Curran, Joanne E Duggirala, Ravi Blangero, John Reich, David Przeworski, Molly eLife Genes and Chromosomes Although the past decade has seen tremendous progress in our understanding of fine-scale recombination, little is known about non-crossover (NCO) gene conversion. We report the first genome-wide study of NCO events in humans. Using SNP array data from 98 meioses, we identified 103 sites affected by NCO, of which 50/52 were confirmed in sequence data. Overlap with double strand break (DSB) hotspots indicates that most of the events are likely of meiotic origin. We estimate that a site is involved in a NCO at a rate of 5.9 × 10(−6)/bp/generation, consistent with sperm-typing studies, and infer that tract lengths span at least an order of magnitude. Observed NCO events show strong allelic bias at heterozygous AT/GC SNPs, with 68% (58–78%) transmitting GC alleles (p = 5 × 10(−4)). Strikingly, in 4 of 15 regions with resequencing data, multiple disjoint NCO tracts cluster in close proximity (∼20–30 kb), a phenomenon not previously seen in mammals. DOI: http://dx.doi.org/10.7554/eLife.04637.001 eLife Sciences Publications, Ltd 2015-03-25 /pmc/articles/PMC4404656/ /pubmed/25806687 http://dx.doi.org/10.7554/eLife.04637 Text en © 2015, Williams et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Genes and Chromosomes Williams, Amy L Genovese, Giulio Dyer, Thomas Altemose, Nicolas Truax, Katherine Jun, Goo Patterson, Nick Myers, Simon R Curran, Joanne E Duggirala, Ravi Blangero, John Reich, David Przeworski, Molly Non-crossover gene conversions show strong GC bias and unexpected clustering in humans |
title | Non-crossover gene conversions show strong GC bias and unexpected clustering in humans |
title_full | Non-crossover gene conversions show strong GC bias and unexpected clustering in humans |
title_fullStr | Non-crossover gene conversions show strong GC bias and unexpected clustering in humans |
title_full_unstemmed | Non-crossover gene conversions show strong GC bias and unexpected clustering in humans |
title_short | Non-crossover gene conversions show strong GC bias and unexpected clustering in humans |
title_sort | non-crossover gene conversions show strong gc bias and unexpected clustering in humans |
topic | Genes and Chromosomes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4404656/ https://www.ncbi.nlm.nih.gov/pubmed/25806687 http://dx.doi.org/10.7554/eLife.04637 |
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