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
11793681
TITLE
Marker selection by Akaike information criterion and Bayesian information criterion.
ABSTRACT
We carried out a discriminant analysis with identity by descent (IBD) at each marker as inputs, and the sib pair type (affected-affected versus affected-unaffected) as the output. Using simple logistic regression for this discriminant analysis, we illustrate the importance of comparing models with different number of parameters. Such model comparisons are best carried out using either the Akaike information criterion (AIC) or the Bayesian information criterion (BIC). When AIC (or BIC) stepwise variable selection was applied to the German Asthma data set, a group of markers were selected which provide the best fit to the data (assuming an additive effect). Interestingly, these 25-26 markers were not identical to those with the highest (in magnitude) single-locus lod scores.
DATE PUBLISHED
2001
HISTORY
PUBSTATUS PUBSTATUSDATE
pubmed 2002/01/17 10:00
medline 2002/04/16 10:01
entrez 2002/01/17 10:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Li W Li W W Laboratory of Statistical Genetics, Rockefeller University, Box 192, 1230 York Avenue, New York, NY 10021, USA.
Nyholt DR Nyholt D R DR
INVESTIGATORS
JOURNAL
VOLUME: 21 Suppl 1
ISSUE:
TITLE: Genetic epidemiology
ISOABBREVIATION: Genet. Epidemiol.
YEAR: 2001
MONTH:
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Print
ISSN: 0741-0395
ISSNTYPE: Print
MEDLINE JOURNAL
MEDLINETA: Genet Epidemiol
COUNTRY: United States
ISSNLINKING: 0741-0395
NLMUNIQUEID: 8411723
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, U.S. Gov't, P.H.S.
COMMENTS AND CORRECTIONS
GRANTS
GRANTID AGENCY COUNTRY
K01HG00024 NHGRI NIH HHS United States
MH44292 NIMH NIH HHS United States
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Adult
Asthma genetics
Bayes Theorem genetics
Child genetics
Discriminant Analysis genetics
Female genetics
Genetic Markers genetics
Genetics, Population genetics
Humans genetics
Male genetics
Models, Genetic genetics
Pedigree genetics
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
REGISTRYNUMBER NAMEOFSUBSTANCE
0 Genetic Markers
OTHER ID's