Human Molecular Genetics, 2001, Vol. 10, No. 8 891-899
© 2001 Oxford University Press
Meta-analysis for linkage to asthma and atopy in the chromosome 5q31–33 candidate region
1Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Harvard University, Boston, MA 02115, USA, 2Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA, 3Genetic Epidemiology Unit, TVW Telethon Institute for Child Health Research, Perth, Australia, 4Johns Hopkins University, Baltimore, MD, USA, 5Genetic Epidemiology Unit, Department of Epidemiology and Public Health, University of Leicester, Leicester, UK, 6Department of Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing, China, 7Asthma Genetics Group, Nuffield Department of Clinical Medicine, John Radcliffe Hospital, Oxford, UK, 8Terri Beaty: Johns Hopkins University, Baltimore, MD, USA; Eugene Bleecker: University of Maryland, Baltimore, MD, USA; Malcolm Blumenthal: University of Minnesota, Minneapolis, MN, USA; Carole Ober: University of Chicago, Chicago, IL, USA; Stephen Rich: Wake Forest University School of Medicine, Winston-Salem, NC, USA, 9Childrens’ Hospital, University of Freiburg, Germany, 10Asthma Genetics Group, Human Genetics Research Division, Duthie Building, Southampton General Hospital, UK, 11Department of Medical Genetics, University of Helsinki, Finland and 12German Asthma Genetics Group: Institute of Epidemiology, GSF National Research Center for Environment and Health, Neuherberg, Germany
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.
+ To whom correspondence should be addressed. Tel: +1 617 525 0872; Fax: +1 617 525 0958; Email: reljp@channing.harvard.edu.
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