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PMID |
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TITLE |
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Marker selection by Akaike information criterion and Bayesian information criterion. |
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ABSTRACT |
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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. |
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DATE PUBLISHED |
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HISTORY |
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PUBSTATUS |
PUBSTATUSDATE |
pubmed |
2002/01/17 10:00 |
medline |
2002/04/16 10:01 |
entrez |
2002/01/17 10:00 |
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AUTHORS |
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NAME |
COLLECTIVENAME |
LASTNAME |
FORENAME |
INITIALS |
AFFILIATION |
AFFILIATIONINFO |
Li W |
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Li |
W |
W |
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Laboratory of Statistical Genetics, Rockefeller University, Box 192, 1230 York Avenue, New York, NY 10021, USA. |
Nyholt DR |
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Nyholt |
D R |
DR |
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INVESTIGATORS |
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JOURNAL |
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VOLUME: 21 Suppl 1 |
ISSUE: |
TITLE: Genetic epidemiology |
ISOABBREVIATION: Genet. Epidemiol. |
YEAR: 2001 |
MONTH: |
DAY: |
MEDLINEDATE: |
SEASON: |
CITEDMEDIUM: Print |
ISSN: 0741-0395 |
ISSNTYPE: Print |
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MEDLINE JOURNAL |
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MEDLINETA: Genet Epidemiol |
COUNTRY: United States |
ISSNLINKING: 0741-0395 |
NLMUNIQUEID: 8411723 |
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PUBLICATION TYPE |
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PUBLICATIONTYPE TEXT |
Journal Article |
Research Support, U.S. Gov't, P.H.S. |
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COMMENTS AND CORRECTIONS |
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GRANTS |
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GRANTID |
AGENCY |
COUNTRY |
K01HG00024 |
NHGRI NIH HHS |
United States |
MH44292 |
NIMH NIH HHS |
United States |
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GENERAL NOTE |
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KEYWORDS |
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MESH HEADINGS |
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DESCRIPTORNAME |
QUALIFIERNAME |
Adult |
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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 |
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SUPPLEMENTARY MESH |
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GENE SYMBOLS |
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CHEMICALS |
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REGISTRYNUMBER |
NAMEOFSUBSTANCE |
0 |
Genetic Markers |
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OTHER ID's |
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