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

Yin Yao Shugart, Pat Wehman, Andrew Collins

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
JournalGenetic Epidemiology
Volume17
Issue numberSUPPL. 1
StatePublished - 1999

Keywords

  • BETA method
  • Nonparametric method

ASJC Scopus subject areas

  • Genetics(clinical)
  • Epidemiology

Fingerprint Dive into the research topics of 'An evaluation of affected-sib-pair methods and transmission/disequilibrium tests for detecting genes underlying a complex trait'. Together they form a unique fingerprint.

Cite this