Literature DB >> 10740922

Distinguishing recombination and intragenic gene conversion by linkage disequilibrium patterns.

T Wiehe1, J Mountain, P Parham, M Slatkin.   

Abstract

Deterministic theory suggests that reciprocal recombination and intragenic, interallelic conversion have different effects on the linkage disequilibrium between a pair of genetic markers. Under a model of reciprocal recombination, the decay rate of linkage disequilibrium depends on the distance between the two markers, while under conversion the decay rate is independent of this distance, provided that conversion tracts are short. A population genetic three-locus model provides a function Q of two-locus linkage disequilibria. Viewed as a random variable, Q is the basis for a test of the relative impact of conversion and recombination. This test requires haplotype frequency data of a sufficiently variable three-locus system. One of the few examples currently available is data from the Human Leukocyte Antigen (HLA) class I genes of three Amerindian populations. We find that conversion may have played a dominant role in shaping haplotype patterns over short stretches of DNA, whereas reciprocal recombination may have played a greater role over longer stretches of DNA. However, in order to draw firm conclusions more independent data are necessary.

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Year:  2000        PMID: 10740922     DOI: 10.1017/s0016672399004036

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  16 in total

1.  Gene conversion and different population histories may explain the contrast between polymorphism and linkage disequilibrium levels.

Authors:  L Frisse; R R Hudson; A Bartoszewicz; J D Wall; J Donfack; A Di Rienzo
Journal:  Am J Hum Genet       Date:  2001-08-29       Impact factor: 11.025

2.  Estimating the rate of gene conversion on human chromosome 21.

Authors:  Badri Padhukasahasram; Paul Marjoram; Magnus Nordborg
Journal:  Am J Hum Genet       Date:  2004-07-12       Impact factor: 11.025

3.  Estimating recombination rates from single-nucleotide polymorphisms using summary statistics.

Authors:  Badri Padhukasahasram; Jeffrey D Wall; Paul Marjoram; Magnus Nordborg
Journal:  Genetics       Date:  2006-09-15       Impact factor: 4.562

4.  Algorithms to distinguish the role of gene-conversion from single-crossover recombination in the derivation of SNP sequences in populations.

Authors:  Yun S Song; Zhihong Ding; Dan Gusfield; Charles H Langley; Yufeng Wu
Journal:  J Comput Biol       Date:  2007-12       Impact factor: 1.479

5.  Estimating meiotic gene conversion rates from population genetic data.

Authors:  J Gay; S Myers; G McVean
Journal:  Genetics       Date:  2007-07-29       Impact factor: 4.562

6.  Moving forward: breaking the cycle of mistrust between American Indians and researchers.

Authors:  Christina M Pacheco; Sean M Daley; Travis Brown; Melissa Filippi; K Allen Greiner; Christine M Daley
Journal:  Am J Public Health       Date:  2013-10-17       Impact factor: 9.308

Review 7.  Evolutionary genomics of Borrelia burgdorferi sensu lato: findings, hypotheses, and the rise of hybrids.

Authors:  Wei-Gang Qiu; Che L Martin
Journal:  Infect Genet Evol       Date:  2014-04-03       Impact factor: 3.342

8.  Assessing the relative ages of admixture in the bovine hybrid zones of Africa and the Near East using X chromosome haplotype mosaicism.

Authors:  Abigail R Freeman; Clive J Hoggart; O Hanotte; Daniel G Bradley
Journal:  Genetics       Date:  2006-04-02       Impact factor: 4.562

9.  Linkage disequilibrium and inference of ancestral recombination in 538 single-nucleotide polymorphism clusters across the human genome.

Authors:  Andrew G Clark; Rasmus Nielsen; James Signorovitch; Tara C Matise; Stephen Glanowski; Jeremy Heil; Emily S Winn-Deen; Arthur L Holden; Eric Lai
Journal:  Am J Hum Genet       Date:  2003-07-03       Impact factor: 11.025

10.  Recombination and gene conversion in a 170-kb genomic region of Arabidopsis thaliana.

Authors:  Bernhard Haubold; Jürgen Kroymann; Andreas Ratzka; Thomas Mitchell-Olds; Thomas Wiehe
Journal:  Genetics       Date:  2002-07       Impact factor: 4.562

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