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An evaluation of affected-sib-pair methods and transmission/disequilibrium tests for detecting genes underlying a complex trait

An evaluation of affected-sib-pair methods and transmission/disequilibrium tests for detecting genes underlying a complex trait
An evaluation of affected-sib-pair methods and transmission/disequilibrium tests for detecting genes underlying a complex trait

For the analysis of complex traits, it is of interest to compare a few nonparametric methods such as affected-sib-pair (ASP) analyses and transmission/disequilibrium tests (TDT). The affected-sib-pair approaches we have examined here are ASP and ALL-SP which are implemented in SIBPAIR program. We also applied the BETA program which has not so far been extensively compared with other methods. The study indicates that the ASP program and the BETA program give concordant results although BETA tends to give higher lod scores. However, when all sibs were included in the analysis (ALL-SP), linkage signals became weaker, compared with ASP and BETA. The TDT detected 66 positive signals at a significance level of 0.05 and identified a true locus. Overall, our results suggest that affected-sib-pair analysis has reasonable power (p < 0.0001) to detect linkage given the disease model and the family structure specified in the GAW11 Problem 2 data set.

BETA method, Nonparametric method
0741-0395
S727-S730
Shugart, Yin Yao
e3183e57-94cf-4009-a1fe-7650edf5f721
Wehman, Pat
95493314-32ec-4c62-9d75-d0b279fbf650
Collins, Andrew
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
Shugart, Yin Yao
e3183e57-94cf-4009-a1fe-7650edf5f721
Wehman, Pat
95493314-32ec-4c62-9d75-d0b279fbf650
Collins, Andrew
7daa83eb-0b21-43b2-af1a-e38fb36e2a64

Shugart, Yin Yao, Wehman, Pat and Collins, Andrew (1999) An evaluation of affected-sib-pair methods and transmission/disequilibrium tests for detecting genes underlying a complex trait. Genetic Epidemiology, 17 (SUPPL. 1), S727-S730. (doi:10.1002/gepi.13701707119).

Record type: Article

Abstract

For the analysis of complex traits, it is of interest to compare a few nonparametric methods such as affected-sib-pair (ASP) analyses and transmission/disequilibrium tests (TDT). The affected-sib-pair approaches we have examined here are ASP and ALL-SP which are implemented in SIBPAIR program. We also applied the BETA program which has not so far been extensively compared with other methods. The study indicates that the ASP program and the BETA program give concordant results although BETA tends to give higher lod scores. However, when all sibs were included in the analysis (ALL-SP), linkage signals became weaker, compared with ASP and BETA. The TDT detected 66 positive signals at a significance level of 0.05 and identified a true locus. Overall, our results suggest that affected-sib-pair analysis has reasonable power (p < 0.0001) to detect linkage given the disease model and the family structure specified in the GAW11 Problem 2 data set.

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Published date: 1999
Keywords: BETA method, Nonparametric method

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Local EPrints ID: 470927
URI: http://eprints.soton.ac.uk/id/eprint/470927
ISSN: 0741-0395
PURE UUID: acf7c50c-771d-472d-b426-400c4a58de7c
ORCID for Andrew Collins: ORCID iD orcid.org/0000-0001-7108-0771

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Date deposited: 21 Oct 2022 16:33
Last modified: 17 Mar 2024 02:37

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Contributors

Author: Yin Yao Shugart
Author: Pat Wehman
Author: Andrew Collins ORCID iD

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