Mapping oligogenes for atopy and asthma by meta-analysis
Mapping oligogenes for atopy and asthma by meta-analysis
Meta-analysis is presented for published studies on linkage or allelic association that have in common only reported significance levels. Reporting is biassed, and nonsignificance is seldom quantified. Therefore meta-analysis cannot identify oligogenes within a candidate region nor establish their significance, but it defines candidate regions well. Applied to a database on atopy and asthma, candidate regions are identified on chromosomes 6, 5, 16, 11, 12, 13, 14, 7, 20, and 10, in rank order from strongest to weakest evidence. On the other hand, there is little support for chromosomes 9, 8, 18, 1, and 15 in the same rank order. The evidence from 156 publications is reviewed for each region. With reasonable type I and II errors several thousand affected sib pairs would be required to detect a locus accounting for 1/10 of the genetic effect on asthma. Identification of regions by a genome scan for linkage and allelic association requires international collaborative studies to reach the necessary sample size, using lod-based methods that specify a weakly parametric alternative hypothesis and can be combined over studies that differ in ascertainment, phenotypes, and markers. This has become the central problem in complex inheritance.
1-10
Collins, A.
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Ennis, S.
7b57f188-9d91-4beb-b217-09856146f1e9
Tapper, W.
9d5ddc92-a8dd-4c78-ac67-c5867b62724c
Morton, N.E.
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
March 2000
Collins, A.
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Ennis, S.
7b57f188-9d91-4beb-b217-09856146f1e9
Tapper, W.
9d5ddc92-a8dd-4c78-ac67-c5867b62724c
Morton, N.E.
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
Collins, A., Ennis, S., Tapper, W. and Morton, N.E.
(2000)
Mapping oligogenes for atopy and asthma by meta-analysis.
Genetics and Molecular Biology, 23 (1), .
(doi:10.1590/S1415-47572000000100001).
Abstract
Meta-analysis is presented for published studies on linkage or allelic association that have in common only reported significance levels. Reporting is biassed, and nonsignificance is seldom quantified. Therefore meta-analysis cannot identify oligogenes within a candidate region nor establish their significance, but it defines candidate regions well. Applied to a database on atopy and asthma, candidate regions are identified on chromosomes 6, 5, 16, 11, 12, 13, 14, 7, 20, and 10, in rank order from strongest to weakest evidence. On the other hand, there is little support for chromosomes 9, 8, 18, 1, and 15 in the same rank order. The evidence from 156 publications is reviewed for each region. With reasonable type I and II errors several thousand affected sib pairs would be required to detect a locus accounting for 1/10 of the genetic effect on asthma. Identification of regions by a genome scan for linkage and allelic association requires international collaborative studies to reach the necessary sample size, using lod-based methods that specify a weakly parametric alternative hypothesis and can be combined over studies that differ in ascertainment, phenotypes, and markers. This has become the central problem in complex inheritance.
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Published date: March 2000
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Local EPrints ID: 175745
URI: http://eprints.soton.ac.uk/id/eprint/175745
ISSN: 1415-4757
PURE UUID: 43c7d8e6-eaec-4315-b207-5ff077ab337c
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Date deposited: 28 Feb 2011 09:19
Last modified: 15 Mar 2024 02:43
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N.E. Morton
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