Linkage of asthma to markers on chromosome 12 in a sample of 240 families using quantitative phenotype scores
Linkage of asthma to markers on chromosome 12 in a sample of 240 families using quantitative phenotype scores
We present evidence of linkage between markers on chromosome 12 and asthma using the BETA program for nonparametric single- and multipoint linkage analysis. We have used quantitative scores as our phenotypic variables, combining data into indices for asthma and atopy and maximizing heritability. The largest single-locus LODs were achieved for asthma: D12S342 and asthma score (LOD 2.255), D12S324 and asthma affection (LOD 2.214), and D12S366 and wheeze (LOD 3.307). The region of interest identified using multipoint analysis, with a maximum LOD of 2.29, centers around D12S97 at location 173.5 cM with a standard error of 6.5 for the asthma score and close agreement for asthma affection and wheeze. Such evidence merits further investigation of this area in an attempt to define the region with greater precision with a view to identifying candidate genes. We hope that the methods presented will encourage researchers to use phenotypic information in a way that encourages meta-analysis.
251-259
Wilkinson, Jane
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Grimley, Sarah
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Collins, Andrew
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Simon Thomas, N.
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Holgate, Stephen T.
2e7c17a9-6796-436e-8772-1fe6d2ac5edc
Morton, Newton
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
1 November 1998
Wilkinson, Jane
2eab5733-e987-4e00-95af-b15801d303e2
Grimley, Sarah
d152bab8-a7e0-4b46-b321-e714c2786f02
Collins, Andrew
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Simon Thomas, N.
2736b8b1-d10e-484a-bda8-8b761344a93e
Holgate, Stephen T.
2e7c17a9-6796-436e-8772-1fe6d2ac5edc
Morton, Newton
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
Wilkinson, Jane, Grimley, Sarah, Collins, Andrew, Simon Thomas, N., Holgate, Stephen T. and Morton, Newton
(1998)
Linkage of asthma to markers on chromosome 12 in a sample of 240 families using quantitative phenotype scores.
Genomics, 53 (3), .
(doi:10.1006/geno.1998.5485).
Abstract
We present evidence of linkage between markers on chromosome 12 and asthma using the BETA program for nonparametric single- and multipoint linkage analysis. We have used quantitative scores as our phenotypic variables, combining data into indices for asthma and atopy and maximizing heritability. The largest single-locus LODs were achieved for asthma: D12S342 and asthma score (LOD 2.255), D12S324 and asthma affection (LOD 2.214), and D12S366 and wheeze (LOD 3.307). The region of interest identified using multipoint analysis, with a maximum LOD of 2.29, centers around D12S97 at location 173.5 cM with a standard error of 6.5 for the asthma score and close agreement for asthma affection and wheeze. Such evidence merits further investigation of this area in an attempt to define the region with greater precision with a view to identifying candidate genes. We hope that the methods presented will encourage researchers to use phenotypic information in a way that encourages meta-analysis.
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Published date: 1 November 1998
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Funding Information:
This work is supported by an MRC project grant. J.W. is a MRC Clinical Training Fellow.
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Local EPrints ID: 470929
URI: http://eprints.soton.ac.uk/id/eprint/470929
ISSN: 0888-7543
PURE UUID: 8488b7be-a026-4806-a769-fe21ef5de9e5
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Date deposited: 21 Oct 2022 16:33
Last modified: 18 Mar 2024 02:38
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Author:
Sarah Grimley
Author:
N. Simon Thomas
Author:
Newton Morton
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