Familial analysis of bipolar affective disorder using logistic models

John Blangero; Robert C. Elston

doi:10.1002/gepi.1370060139

Familial analysis of bipolar affective disorder using logistic models

John Blangero, Robert C. Elston

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

Abstract

Data on bipolar affective disorder in 187 pedigrees from the Collaborative Depression Study were analyzed using logistic models that have been extended to incorporate age of onset information. Logistic regression analysis and segregation analysis revealed evidence for complex familial effects on this disorder.

Original language	English (US)
Pages (from-to)	221-227
Number of pages	7
Journal	Genetic epidemiology
Volume	6
Issue number	1
DOIs	https://doi.org/10.1002/gepi.1370060139
State	Published - 1989

Keywords

age of onset
binary traits
logistic regression
segregation analysis

ASJC Scopus subject areas

Epidemiology
Genetics(clinical)

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10.1002/gepi.1370060139

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title = "Familial analysis of bipolar affective disorder using logistic models",

abstract = "Data on bipolar affective disorder in 187 pedigrees from the Collaborative Depression Study were analyzed using logistic models that have been extended to incorporate age of onset information. Logistic regression analysis and segregation analysis revealed evidence for complex familial effects on this disorder.",

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KW - logistic regression

KW - segregation analysis

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Familial analysis of bipolar affective disorder using logistic models

Abstract

Keywords

ASJC Scopus subject areas

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