Life after the screen: Making sense of many P-values

S. Schmidt, Y. Shao, E. R. Hauser, S. H. Slifer, E. R. Martin, W. K. Scott, M. C. Speer, M. A. Pericak-Vance

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

A multiple analytic approach may be useful for analyzing complex traits since different methods extract both similar and distinct, but complementary pieces of information from genome screen data on extended pedigrees. We examined the usefulness of combining p-values both across methods and across adjacent markers, taking into account the observed correlation structure among these p-values. To this end, we employed the recently proposed truncated product method [Zaykin et al., Genet Epidemiol, in press]. It appears that this approach is helpful for visualizing priority regions for follow-up analysis and reducing the number of false-positive linkage signals.

Original languageEnglish (US)
Pages (from-to)S546-S551
JournalGenetic Epidemiology
Volume21
Issue numberSUPPL. 1
DOIs
StatePublished - 2001

Keywords

  • Association
  • Correlation
  • Data reduction
  • Linkage
  • P-values

ASJC Scopus subject areas

  • Genetics(clinical)
  • Epidemiology

Fingerprint Dive into the research topics of 'Life after the screen: Making sense of many P-values'. Together they form a unique fingerprint.

Cite this