Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
12385668
TITLE
Biometrical genetics.
ABSTRACT
Biometrical genetics is the science concerned with the inheritance of quantitative traits. In this review we discuss how the analytical methods of biometrical genetics are based upon simple Mendelian principles. We demonstrate how the phenotypic covariance between related individuals provides information on the relative importance of genetic and environmental factors influencing that trait, and how factors such as assortative mating, gene-environment correlation and genotype-environment interaction complicate such interpretations. Twin and adoption studies are discussed as well as their assumptions and limitations. Structural equation modeling (SEM) is introduced and we illustrate how this approach may be applied to genetic problems. In particular, we show how SEM can be used to address complicated issues such as analyzing the causes of correlation between traits or determining the direction of causation (DOC) between variables.
DATE PUBLISHED
2002 Oct
HISTORY
PUBSTATUS PUBSTATUSDATE
pubmed 2002/10/19 04:00
medline 2003/03/28 05:00
entrez 2002/10/19 04:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Evans DM Evans David M DM Queensland Institute of Medical Research and Joint Genetics Program, PO Royal Brisbane Hospital, University of Queensland, Brisbane 4029, Australia. davide@qimr.edu.au
Gillespie NA Gillespie N A NA
Martin NG Martin N G NG
INVESTIGATORS
JOURNAL
VOLUME: 61
ISSUE: 1-2
TITLE: Biological psychology
ISOABBREVIATION: Biol Psychol
YEAR: 2002
MONTH: Oct
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN: 0301-0511
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Biol Psychol
COUNTRY: Netherlands
ISSNLINKING: 0301-0511
NLMUNIQUEID: 0375566
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Review
COMMENTS AND CORRECTIONS
GRANTS
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Biometry
Causality
Genotype
Humans
Models, Genetic
Models, Statistical
Phenotype
Quantitative Trait, Heritable
Social Environment
Twin Studies as Topic
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
OTHER ID's