Inference and analysis of population-specific fine-scale recombination maps across 26 diverse human populations-Reference-Cited by-同舟云学术

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Inference and analysis of population-specific fine-scale recombination maps across 26 diverse human populations

Published:2019-10-04 Issue:10 Volume:5 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Spence Jeffrey P.¹^ORCID,Song Yun S.²³^ORCID

Affiliation:

1. Graduate Group in Computational Biology, University of California, Berkeley, Berkeley, CA, USA.

2. Computer Science Division and Department of Statistics, University of California, Berkeley, Berkeley, CA, USA.

3. Chan Zuckerberg Biohub, San Francisco, CA, USA.

Abstract

Recombination rates vary across the genome and across populations in a way that depends on PRDM9 and chromatin structure.

Funder

National Institutes of Health

David and Lucile Packard Foundation

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference77 articles.

1. PRDM9 Is a Major Determinant of Meiotic Recombination Hotspots in Humans and Mice

2. A map of human PRDM9 binding provides evidence for novel behaviors of PRDM9 and other zinc-finger proteins in meiosis;Altemose N.;eLife,2017

3. The Meiotic Recombination Activator PRDM9 Trimethylates Both H3K36 and H3K4 at Recombination Hotspots In Vivo

4. Stable recombination hotspots in birds

5. The landscape of mouse meiotic double-strand break formation, processing, and repair;Lange J.;Cell,2016

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