Literature DB >> 21523954

Meta-analysis for linkage to asthma and atopy in the chromosome 5q31-33 candidate region.

L J Palmer1, K C Barnes, P R Burton, H Chen, W O Cookson, K A Deichmann, R C Elston, J W Holloway, K B Jacobs, T Laitinen, M Wjst.   

Abstract

Asthma is a common, complex human disease. Gene discovery in asthma has been complicated by substantial etiological heterogeneity, the possibility of genes of small effect and the concomitant requirement for large sample sizes. Linkage to asthma phenotypes has been investigated most intensively in the 5q chromosomal region, although results have been inconsistent across studies and all studies have had modest sample sizes. One potential solution to these issues is to combine data from multiple studies in a retrospective meta-analysis by pooling either summary statistics or raw data. The International Consortium on Asthma Genetics combined data from 11 data sets (n = 6277 subjects) to investigate evidence for linkage of 35 markers spanning the cytokine cluster on chromosome 5q31–33 to 'asthma' dichotomy and total serum immunoglobulin E (IgE) levels. Chromosome 5q markers typed in different centers were integrated into a consensus map to facilitate effective data pooling. Multipoint linkage analyses using a new Haseman–Elston method were performed with all data sets pooled together, and also separately with the resulting linkage statistics pooled by meta-analytic methods. Our results did not provide any evidence significant at the 5% level that loci conferring susceptibility to asthma or atopy are present in the 5q31–33 region; however, there was some weak evidence (empirical P = 0.077) of linkage to asthma affection. This study suggests that loci in 5q31–33 have at most a modest effect on susceptibility to asthma or total serum IgE levels, may not be detectable or present in all human populations and are difficult to detect even using combined linkage evidence from 2400–2600 full sibling pairs.

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Year:  2001        PMID: 21523954     DOI: 10.1093/hmg/10.8.891

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  5 in total

1.  A combined analysis of genomewide linkage scans for body mass index from the National Heart, Lung, and Blood Institute Family Blood Pressure Program.

Authors:  Xiaodong Wu; Richard S Cooper; Ingrid Borecki; Craig Hanis; Molly Bray; Cora E Lewis; Xiaofeng Zhu; Donghui Kan; Amy Luke; David Curb
Journal:  Am J Hum Genet       Date:  2002-03-28       Impact factor: 11.025

2.  Genomewide scans of complex human diseases: true linkage is hard to find.

Authors:  J Altmüller; L J Palmer; G Fischer; H Scherb; M Wjst
Journal:  Am J Hum Genet       Date:  2001-09-14       Impact factor: 11.025

3.  Lack of reproducibility of linkage results in serially measured blood pressure data.

Authors:  Sanjay R Patel; Juan C Celedon; Scott T Weiss; Lyle J Palmer
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

4.  Identification of novel candidate variants including COL6A6 polymorphisms in early-onset atopic dermatitis using whole-exome sequencing.

Authors:  Won Il Heo; Kui Young Park; Taewon Jin; Mi-Kyung Lee; MinJeong Kim; Eung Ho Choi; Hae-Suk Kim; Jung Min Bae; Nam Ju Moon; Seong Jun Seo
Journal:  BMC Med Genet       Date:  2017-01-26       Impact factor: 2.103

5.  A preliminary study on the association of single nucleotide polymorphisms of interleukin 4 (IL4), IL13, IL4 receptor alpha (IL4Rα) & Toll-like receptor 4 (TLR4) genes with asthma in Indian adults.

Authors:  Parisa Davoodi; P A Mahesh; Amrutha D Holla; Nallur B Ramachandra
Journal:  Indian J Med Res       Date:  2015-12       Impact factor: 2.375

  5 in total

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