Linked Life Data

10782012

Source:http://linkedlifedata.com/resource/pubmed/id/10782012

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2000-9-15
pubmed:abstractText
A general approach to family-based examinations of association between marker alleles and traits is proposed. The approach is based on computing p values by comparing test statistics for association to their conditional distributions given the minimal sufficient statistic under the null hypothesis for the genetic model, sampling plan and population admixture. The approach can be applied with any test statistic, so any kind of phenotype and multi-allelic markers may be examined, and covariates may be included in analyses. By virtue of the conditioning, the approach results in correct type I error probabilities regardless of population admixture, the true genetic model and the sampling strategy. An algorithm for computing the conditional distributions is described, and the results of the algorithm for configurations of nuclear families are presented. The algorithm is applicable with all pedigree structures and all patterns of missing marker allele information.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0001-5652
pubmed:author
pubmed:copyrightInfo
Copyright 2000 S. Karger AG, Basel
pubmed:issnType
Print
pubmed:volume
50
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
211-23
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:articleTitle
A unified approach to adjusting association tests for population admixture with arbitrary pedigree structure and arbitrary missing marker information.
pubmed:affiliation
Department of Statistics, Columbia University, New York, N.Y., USA. dan@stat.columbia.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.