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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
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
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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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