Literature DB >> 12384857

Distribution of recombination crossovers and the origin of haplotype blocks: the interplay of population history, recombination, and mutation.

Ning Wang1, Joshua M Akey, Kun Zhang, Ranajit Chakraborty, Li Jin.   

Abstract

Recent studies suggest that haplotypes are arranged into discrete blocklike structures throughout the human genome. Here, we present an alternative haplotype block definition that assumes no recombination within each block but allows for recombination between blocks, and we use it to study the combined effects of demographic history and various population genetic parameters on haplotype block characteristics. Through extensive coalescent simulations and analysis of published haplotype data on chromosome 21, we find that (1) the combined effects of population demographic history, recombination, and mutation dictate haplotype block characteristics and (2) haplotype blocks can arise in the absence of recombination hot spots. Finally, we provide practical guidelines for designing and interpreting studies investigating haplotype block structure.

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Mesh:

Year:  2002        PMID: 12384857      PMCID: PMC385104          DOI: 10.1086/344398

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


  17 in total

1.  Genetic epidemiology of single-nucleotide polymorphisms.

Authors:  A Collins; C Lonjou; N E Morton
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-21       Impact factor: 11.205

2.  Blocks of limited haplotype diversity revealed by high-resolution scanning of human chromosome 21.

Authors:  N Patil; A J Berno; D A Hinds; W A Barrett; J M Doshi; C R Hacker; C R Kautzer; D H Lee; C Marjoribanks; D P McDonough; B T Nguyen; M C Norris; J B Sheehan; N Shen; D Stern; R P Stokowski; D J Thomas; M O Trulson; K R Vyas; K A Frazer; S P Fodor; D R Cox
Journal:  Science       Date:  2001-11-23       Impact factor: 47.728

3.  Linkage disequilibrium and the mapping of complex human traits.

Authors:  Kenneth M Weiss; Andrew G Clark
Journal:  Trends Genet       Date:  2002-01       Impact factor: 11.639

4.  Haplotype tagging for the identification of common disease genes.

Authors:  G C Johnson; L Esposito; B J Barratt; A N Smith; J Heward; G Di Genova; H Ueda; H J Cordell; I A Eaves; F Dudbridge; R C Twells; F Payne; W Hughes; S Nutland; H Stevens; P Carr; E Tuomilehto-Wolf; J Tuomilehto; S C Gough; D G Clayton; J A Todd
Journal:  Nat Genet       Date:  2001-10       Impact factor: 38.330

5.  Islands of linkage disequilibrium.

Authors:  D B Goldstein
Journal:  Nat Genet       Date:  2001-10       Impact factor: 38.330

6.  High-resolution haplotype structure in the human genome.

Authors:  M J Daly; J D Rioux; S F Schaffner; T J Hudson; E S Lander
Journal:  Nat Genet       Date:  2001-10       Impact factor: 38.330

7.  Intensely punctate meiotic recombination in the class II region of the major histocompatibility complex.

Authors:  A J Jeffreys; L Kauppi; R Neumann
Journal:  Nat Genet       Date:  2001-10       Impact factor: 38.330

8.  Linkage disequilibrium in the human genome.

Authors:  D E Reich; M Cargill; S Bolk; J Ireland; P C Sabeti; D J Richter; T Lavery; R Kouyoumjian; S F Farhadian; R Ward; E S Lander
Journal:  Nature       Date:  2001-05-10       Impact factor: 49.962

9.  Patterns of meiotic recombination on the long arm of human chromosome 21.

Authors:  A Lynn; C Kashuk; M B Petersen; J A Bailey; D R Cox; S E Antonarakis; A Chakravarti
Journal:  Genome Res       Date:  2000-09       Impact factor: 9.043

10.  Sequence variation and linkage disequilibrium in the human T-cell receptor beta (TCRB) locus.

Authors:  L Subrahmanyan; M A Eberle; A G Clark; L Kruglyak; D A Nickerson
Journal:  Am J Hum Genet       Date:  2001-06-29       Impact factor: 11.025

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  154 in total

1.  Randomly distributed crossovers may generate block-like patterns of linkage disequilibrium: an act of genetic drift.

Authors:  Kun Zhang; Joshua M Akey; Ning Wang; Momiao Xiong; Ranajit Chakraborty; Li Jin
Journal:  Hum Genet       Date:  2003-04-03       Impact factor: 4.132

2.  BLOCK-BASED BAYESIAN EPISTASIS ASSOCIATION MAPPING WITH APPLICATION TO WTCCC TYPE 1 DIABETES DATA.

Authors:  By Yu Zhang; Jing Zhang; Jun S Liu
Journal:  Ann Appl Stat       Date:  2011-09-01       Impact factor: 2.083

Review 3.  On the applicability of a haplotype map to un-assayed populations.

Authors:  Itsik Pe'er; Jacques S Beckmann
Journal:  Hum Genet       Date:  2003-10-25       Impact factor: 4.132

4.  Minimum description length block finder, a method to identify haplotype blocks and to compare the strength of block boundaries.

Authors:  H Mannila; M Koivisto; M Perola; T Varilo; W Hennah; J Ekelund; M Lukk; L Peltonen; E Ukkonen
Journal:  Am J Hum Genet       Date:  2003-05-20       Impact factor: 11.025

Review 5.  Hot and cold spots of recombination in the human genome: the reason we should find them and how this can be achieved.

Authors:  Norman Arnheim; Peter Calabrese; Magnus Nordborg
Journal:  Am J Hum Genet       Date:  2003-05-22       Impact factor: 11.025

6.  Population-genetic basis of haplotype blocks in the 5q31 region.

Authors:  Eric C Anderson; Montgomery Slatkin
Journal:  Am J Hum Genet       Date:  2003-12-17       Impact factor: 11.025

7.  Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data.

Authors:  Na Li; Matthew Stephens
Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

8.  Finding haplotype block boundaries by using the minimum-description-length principle.

Authors:  Eric C Anderson; John Novembre
Journal:  Am J Hum Genet       Date:  2003-07-11       Impact factor: 11.025

9.  htSNPer1.0: software for haplotype block partition and htSNPs selection.

Authors:  Keyue Ding; Jing Zhang; Kaixin Zhou; Yan Shen; Xuegong Zhang
Journal:  BMC Bioinformatics       Date:  2005-03-01       Impact factor: 3.169

10.  Association of genetic variants with rapid fibrosis: progression after liver transplantation for hepatitis C.

Authors:  Jennifer E Layden; Bamidele O Tayo; Scott J Cotler; Nina M Clark; Kristine Baraoidan; Scott L Friedman; Richard S Cooper
Journal:  Transplantation       Date:  2014-05-27       Impact factor: 4.939

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