Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2004-2-20
pubmed:abstractText
We propose a statistical method that includes the use of longitudinal regression models and estimation procedures for adjusting for covariate effects in applying the Haseman-Elston (HE) method for linkage analysis. Our methodology, which uses the covariate adjusted trait, contains three steps: a) modelling the covariate-adjusted population means of quantitative traits through regression; b) estimating the value of covariate-adjusted quantitative traits; and c) evaluating the linkage between the adjusted trait values and the markers based on alleles shared identically by descent.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1471-2156
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
4 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S51
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed-meshheading:14975119-Age Factors, pubmed-meshheading:14975119-Blood Pressure, pubmed-meshheading:14975119-Cardiovascular Diseases, pubmed-meshheading:14975119-Chromosome Mapping, pubmed-meshheading:14975119-Chromosomes, Human, Pair 12, pubmed-meshheading:14975119-Cross-Sectional Studies, pubmed-meshheading:14975119-Female, pubmed-meshheading:14975119-Gene Order, pubmed-meshheading:14975119-Genetic Linkage, pubmed-meshheading:14975119-Humans, pubmed-meshheading:14975119-Lod Score, pubmed-meshheading:14975119-Logistic Models, pubmed-meshheading:14975119-Longitudinal Studies, pubmed-meshheading:14975119-Male, pubmed-meshheading:14975119-Matched-Pair Analysis, pubmed-meshheading:14975119-Models, Statistical, pubmed-meshheading:14975119-Quantitative Trait, Heritable, pubmed-meshheading:14975119-Quantitative Trait Loci, pubmed-meshheading:14975119-Siblings
pubmed:year
2003
pubmed:articleTitle
A statistical method for adjusting covariates in linkage analysis with sib pairs.
pubmed:affiliation
Office of Biostatistics, DECA, National Heart, Lung, and Blood Institute, 2 Rockledge Center, Bethesda, Maryland, USA. wuc@nhlbi.nih.gov
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, P.H.S.