Literature DB >> 22560089

Population demographic history can cause the appearance of recombination hotspots.

Henry R Johnston1, David J Cutler.   

Abstract

Although the prevailing view among geneticists suggests that recombination hotspots exist ubiquitously across the human genome, there is only limited experimental evidence from a few genomic regions to support the generality of this claim. A small number of true recombination hotspots are well supported experimentally, but the vast majority of hotspots have been identified on the basis of population genetic inferences from the patterns of linkage disequilibrium (LD) seen in the human population. These inferences are made assuming a particular model of human history, and one of the assumptions of that model is that the effective population size of humans has remained constant throughout our history. Our results show that relaxation of the constant population size assumption can create LD and variation patterns that are qualitatively and quantitatively similar to human populations without any need to invoke localized hotspots of recombination. In other words, apparent recombination hotspots could be an artifact of variable population size over time. Several lines of evidence suggest that the vast majority of hotspots identified on the basis of LD information are unlikely to have elevated recombination rates.
Copyright © 2012 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22560089      PMCID: PMC3376637          DOI: 10.1016/j.ajhg.2012.03.011

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  51 in total

1.  PRDM9 marks the spot.

Authors:  Gil McVean; Simon Myers
Journal:  Nat Genet       Date:  2010-10       Impact factor: 38.330

2.  High-resolution patterns of meiotic recombination across the human major histocompatibility complex.

Authors:  Michael Cullen; Stephen P Perfetto; William Klitz; George Nelson; Mary Carrington
Journal:  Am J Hum Genet       Date:  2002-09-23       Impact factor: 11.025

3.  Recombination rates in admixed individuals identified by ancestry-based inference.

Authors:  Daniel Wegmann; Darren E Kessner; Krishna R Veeramah; Rasika A Mathias; Dan L Nicolae; Lisa R Yanek; Yan V Sun; Dara G Torgerson; Nicholas Rafaels; Thomas Mosley; Lewis C Becker; Ingo Ruczinski; Terri H Beaty; Sharon L R Kardia; Deborah A Meyers; Kathleen C Barnes; Diane M Becker; Nelson B Freimer; John Novembre
Journal:  Nat Genet       Date:  2011-07-20       Impact factor: 38.330

4.  Genome-wide analysis reveals novel molecular features of mouse recombination hotspots.

Authors:  Fatima Smagulova; Ivan V Gregoretti; Kevin Brick; Pavel Khil; R Daniel Camerini-Otero; Galina V Petukhova
Journal:  Nature       Date:  2011-04-03       Impact factor: 49.962

5.  A map of human genome variation from population-scale sequencing.

Authors:  Gonçalo R Abecasis; David Altshuler; Adam Auton; Lisa D Brooks; Richard M Durbin; Richard A Gibbs; Matt E Hurles; Gil A McVean
Journal:  Nature       Date:  2010-10-28       Impact factor: 49.962

6.  Reciprocal crossover asymmetry and meiotic drive in a human recombination hot spot.

Authors:  Alec J Jeffreys; Rita Neumann
Journal:  Nat Genet       Date:  2002-06-24       Impact factor: 38.330

7.  PRDM9 is a major determinant of meiotic recombination hotspots in humans and mice.

Authors:  F Baudat; J Buard; C Grey; A Fledel-Alon; C Ober; M Przeworski; G Coop; B de Massy
Journal:  Science       Date:  2009-12-31       Impact factor: 47.728

8.  Similarity in recombination rate estimates highly correlates with genetic differentiation in humans.

Authors:  Hafid Laayouni; Ludovica Montanucci; Martin Sikora; Marta Melé; Giovanni Marco Dall'Olio; Belén Lorente-Galdos; Kate M McGee; Jan Graffelman; Philip Awadalla; Elena Bosch; David Comas; Arcadi Navarro; Francesc Calafell; Ferran Casals; Jaume Bertranpetit
Journal:  PLoS One       Date:  2011-03-28       Impact factor: 3.240

9.  The landscape of recombination in African Americans.

Authors:  Anjali G Hinch; Arti Tandon; Nick Patterson; Yunli Song; Nadin Rohland; Cameron D Palmer; Gary K Chen; Kai Wang; Sarah G Buxbaum; Ermeg L Akylbekova; Melinda C Aldrich; Christine B Ambrosone; Christopher Amos; Elisa V Bandera; Sonja I Berndt; Leslie Bernstein; William J Blot; Cathryn H Bock; Eric Boerwinkle; Qiuyin Cai; Neil Caporaso; Graham Casey; L Adrienne Cupples; Sandra L Deming; W Ryan Diver; Jasmin Divers; Myriam Fornage; Elizabeth M Gillanders; Joseph Glessner; Curtis C Harris; Jennifer J Hu; Sue A Ingles; William Isaacs; Esther M John; W H Linda Kao; Brendan Keating; Rick A Kittles; Laurence N Kolonel; Emma Larkin; Loic Le Marchand; Lorna H McNeill; Robert C Millikan; Adam Murphy; Solomon Musani; Christine Neslund-Dudas; Sarah Nyante; George J Papanicolaou; Michael F Press; Bruce M Psaty; Alex P Reiner; Stephen S Rich; Jorge L Rodriguez-Gil; Jerome I Rotter; Benjamin A Rybicki; Ann G Schwartz; Lisa B Signorello; Margaret Spitz; Sara S Strom; Michael J Thun; Margaret A Tucker; Zhaoming Wang; John K Wiencke; John S Witte; Margaret Wrensch; Xifeng Wu; Yuko Yamamura; Krista A Zanetti; Wei Zheng; Regina G Ziegler; Xiaofeng Zhu; Susan Redline; Joel N Hirschhorn; Brian E Henderson; Herman A Taylor; Alkes L Price; Hakon Hakonarson; Stephen J Chanock; Christopher A Haiman; James G Wilson; David Reich; Simon R Myers
Journal:  Nature       Date:  2011-07-20       Impact factor: 49.962

10.  PRDM9 variation strongly influences recombination hot-spot activity and meiotic instability in humans.

Authors:  Ingrid L Berg; Rita Neumann; Kwan-Wood G Lam; Shriparna Sarbajna; Linda Odenthal-Hesse; Celia A May; Alec J Jeffreys
Journal:  Nat Genet       Date:  2010-09-05       Impact factor: 38.330

View more
  15 in total

1.  Two-Locus Likelihoods Under Variable Population Size and Fine-Scale Recombination Rate Estimation.

Authors:  John A Kamm; Jeffrey P Spence; Jeffrey Chan; Yun S Song
Journal:  Genetics       Date:  2016-05-10       Impact factor: 4.562

Review 2.  Inference of population history using coalescent HMMs: review and outlook.

Authors:  Jeffrey P Spence; Matthias Steinrücken; Jonathan Terhorst; Yun S Song
Journal:  Curr Opin Genet Dev       Date:  2018-07-26       Impact factor: 5.578

Review 3.  Inferring recombination patterns in African populations.

Authors:  Gerald van Eeden; Caitlin Uren; Marlo Möller; Brenna M Henn
Journal:  Hum Mol Genet       Date:  2021-04-26       Impact factor: 6.150

4.  A comprehensive search for recombinogenic motifs in the human genome.

Authors:  Henry R Johnston; David J Cutler
Journal:  PLoS One       Date:  2013-04-23       Impact factor: 3.240

5.  Presence-absence variation in A. thaliana is primarily associated with genomic signatures consistent with relaxed selective constraints.

Authors:  Stephen J Bush; Atahualpa Castillo-Morales; Jaime M Tovar-Corona; Lu Chen; Paula X Kover; Araxi O Urrutia
Journal:  Mol Biol Evol       Date:  2013-09-25       Impact factor: 16.240

6.  Rare intronic variants of TCF7L2 arising by selective sweeps in an indigenous population from Mexico.

Authors:  Jose Luis Acosta; Alma Cristal Hernández-Mondragón; Laura Carolina Correa-Acosta; Sandra Nathaly Cazañas-Padilla; Berenice Chávez-Florencio; Elvia Yamilet Ramírez-Vega; Tulia Monge-Cázares; Carlos A Aguilar-Salinas; Teresa Tusié-Luna; Laura Del Bosque-Plata
Journal:  BMC Genet       Date:  2016-05-26       Impact factor: 2.797

7.  New Software for the Fast Estimation of Population Recombination Rates (FastEPRR) in the Genomic Era.

Authors:  Feng Gao; Chen Ming; Wangjie Hu; Haipeng Li
Journal:  G3 (Bethesda)       Date:  2016-06-01       Impact factor: 3.154

8.  High-resolution population-specific recombination rates and their effect on phasing and genotype imputation.

Authors:  Shabbeer Hassan; Ida Surakka; Marja-Riitta Taskinen; Veikko Salomaa; Aarno Palotie; Maija Wessman; Taru Tukiainen; Matti Pirinen; Priit Palta; Samuli Ripatti
Journal:  Eur J Hum Genet       Date:  2020-11-28       Impact factor: 4.246

9.  Reconstructing past changes in locus-specific recombination rates.

Authors:  Murray P Cox; Barbara R Holland; Matthew C Wilkins; Jan Schmid
Journal:  BMC Genet       Date:  2013-02-25       Impact factor: 2.797

10.  Detecting Recombination Hotspots from Patterns of Linkage Disequilibrium.

Authors:  Jeffrey D Wall; Laurie S Stevison
Journal:  G3 (Bethesda)       Date:  2016-08-09       Impact factor: 3.154

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.