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Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
Analysis of Principal Component Based Quantitative Phenotypes for Alcoholism.
Genet. Epidemiol. 17 (Suppl.1), 313-318 (1999)
Principal component analysis was used to construct quantitative phenotypes for alcoholism. These were analyzed for linkage to genomic regions with a variance components approach. The four phenotypes considered were a factor describing medical symptoms of alcohol dependency, a factor describing a psychological profile correlated with susceptibility to alcoholism, monoamine oxidase B (MAOB) activity and an average measurement of the P3 component of event-related potentials (ERP) at the Fp electrode placements. One region (around marker GATA123C09 on chromosome 3) with suggestive evidence for linkage was detected for the P3 (Fp) measurement. For three of the four distinct phenotypes, modest evidence for linkage to a similar region (around marker ADH3 on chromosome 4) was found.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
genome scan variance components
ISSN (print) / ISBN
0741-0395
e-ISSN
1098-2272
Zeitschrift
Genetic Epidemiology
Quellenangaben
Band: 17 (Suppl.1),
Seiten: 313-318
Verlag
Wiley
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)