Literature DB >> 12949127

Haplotype structure and evidence for positive selection at the human IL13 locus.

Gangqiao Zhou1, Yun Zhai, Xiaojia Dong, Xiumei Zhang, Fengying He, Kaixin Zhou, Yunping Zhu, Handong Wei, Zhijian Yao, Shaofei Zhong, Yan Shen, Boqing Qiang, Fuchu He.   

Abstract

Interleukin-13 (IL13) is believed to play an important role in the pathogenesis of atopy and allergic asthma. To better understand genetic variation at the IL13 locus, we resequenced a 5.1-kb genomic region spanning the entire locus and identified 26 single-nucleotide polymorphisms (SNPs) in 74 individuals from three major populations-Chinese, Caucasian, and African. Our survey suggests exceptionally high and significant geographic structure at the IL13 locus between African and outside Africa populations. This unusual pattern suggests that positive selection that acts in some local populations may have played a role on the IL13 locus. In support of this suggestion, we found a significant excess of high frequency-derived SNPs in the Chinese population and Caucasian population, respectively, as expected after a recent episode of positive selection. Further, the unusual haplotype structure indicates that different scenarios of the action of positive selection on the IL13 locus in different populations may exist. In the Caucasian population, the skewed haplotype distribution dominated by one common haplotype supports the hypothesis of simple directional selection. Whereas, in the Chinese population, the two-round hitchhiking hypothesis may explain the skewed haplotype structure with three dominant ones. These findings may provide insight into the likely relative roles of selection and population history in establishing present-day variation at the IL13 locus, and, motivate further studies of this locus as an important candidate in common diseases association studies.

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Year:  2003        PMID: 12949127     DOI: 10.1093/molbev/msg231

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  8 in total

1.  Genetic variation and population structure of interleukin genes among seven ethnic populations from Karnataka, India.

Authors:  Srilakshmi M Raj; Diddahally R Govindaraju; Ranajit Chakraborty
Journal:  J Genet       Date:  2007-12       Impact factor: 1.166

2.  Crohn's disease and genetic hitchhiking at IBD5.

Authors:  Chad D Huff; David J Witherspoon; Yuhua Zhang; Chandler Gatenbee; Lee A Denson; Subra Kugathasan; Hakon Hakonarson; April Whiting; Chadwick T Davis; Wilfred Wu; Jinchuan Xing; W Scott Watkins; Michael J Bamshad; Jonathan P Bradfield; Kazima Bulayeva; Tatum S Simonson; Lynn B Jorde; Stephen L Guthery
Journal:  Mol Biol Evol       Date:  2011-08-04       Impact factor: 16.240

3.  Genomic signatures of positive selection in humans and the limits of outlier approaches.

Authors:  Joanna L Kelley; Jennifer Madeoy; John C Calhoun; Willie Swanson; Joshua M Akey
Journal:  Genome Res       Date:  2006-07-06       Impact factor: 9.043

4.  Local selection of human populations shapes complex evolution patterns of CXCL10 gene.

Authors:  Xinwu Guo; Gangqiao Zhou; Wenting Tan; Yun Zhai; Guohong Deng
Journal:  Immunogenetics       Date:  2013-06-11       Impact factor: 2.846

5.  Constructing genomic maps of positive selection in humans: where do we go from here?

Authors:  Joshua M Akey
Journal:  Genome Res       Date:  2009-05       Impact factor: 9.043

6.  Asthma in Africa.

Authors:  Matthias Wjst; Daniel Boakye
Journal:  PLoS Med       Date:  2007-02       Impact factor: 11.069

Review 7.  Resolving the etiology of atopic disorders by using genetic analysis of racial ancestry.

Authors:  Jayanta Gupta; Elisabet Johansson; Jonathan A Bernstein; Ranajit Chakraborty; Gurjit K Khurana Hershey; Marc E Rothenberg; Tesfaye B Mersha
Journal:  J Allergy Clin Immunol       Date:  2016-06-11       Impact factor: 10.793

8.  Rapid Evolution of Primate Type 2 Immune Response Factors Linked to Asthma Susceptibility.

Authors:  Matthew F Barber; Elliott M Lee; Hayden Griffin; Nels C Elde
Journal:  Genome Biol Evol       Date:  2017-06-01       Impact factor: 3.416

  8 in total

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