Year: 2010
Type: preprint
Abstract: Variance component methods have a long history in human quantitative genetics as well as in agricultural genetics and animal breeding. They are designed for genetic analysis of continuously varying quantitative traits such as body mass index (BMI), cholesterol levels, or intelligence quotient. They can be used to assess the strength of genetic effects on a trait, to localize genes influencing a trait through either linkage or association methods, to assess whether associated variants are likely to be the functional variants behind a given localization signal, to explore whether related traits have shared genetic influences in multivariate analyses, and to characterize the genetic effects on a trait through analyses of gene-gene and gene-environment interactions.
Source: Cold Spring Harbor Protocols
DOI: 10.1101/pdb.top77
Authors: Laura Almasy, John Blangero
Institution: Texas Biomedical Research Institute
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: bronze
Awards: G1346553361, Quantitative Trait Locus Mapping in Human Pedigrees, 3/3 - A NEUROBEHAVIORAL FAMILY STUDY OF SCHIZOPHRENIA, G2997384026, Genetics of Atherosclerosis in Mexican Americans, COLLABORATIVE STUDY ON THE GENETICS OF ALCOHOLISM, Genetic Analysis of Idiopathic Thrombosis, G572503807, G6688019574, G7144679236, Genetic Analysis of Common Diseases: An Evaluation, G7852197243, QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREES, G9000054199
OpenAlex ID: W1988046859