The University of Southampton
University of Southampton Institutional Repository

Mapping oligogenes for atopy and asthma by meta-analysis

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.

1415-4757
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
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), 1-10. (doi:10.1590/S1415-47572000000100001).

Record type: Article

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.

Full text not available from this repository.

More information

Published date: March 2000

Identifiers

Local EPrints ID: 175745
URI: https://eprints.soton.ac.uk/id/eprint/175745
ISSN: 1415-4757
PURE UUID: 43c7d8e6-eaec-4315-b207-5ff077ab337c
ORCID for A. Collins: ORCID iD orcid.org/0000-0001-7108-0771
ORCID for S. Ennis: ORCID iD orcid.org/0000-0003-2648-0869

Catalogue record

Date deposited: 28 Feb 2011 09:19
Last modified: 31 Jan 2019 01:37

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×