Literature DB >> 2248044

The impact of phenotypic variation on genetic analysis: application to X-linkage in manic-depressive illness.

M Baron1, R Hamburger, L A Sandkuyl, N Risch, B Mandel, J Endicott, R H Belmaker, J Ott.   

Abstract

Genetic linkage studies have opened new vistas for behavioral and psychiatric genetics. However, phenotypic diversity and diagnostic uncertainties can lead to spurious linkage findings. A method of analysis is proposed that takes these factors into account. When applied to manic-depressive disease, the results indicate that previous evidence for a major gene localized on the distal long arm of the X-chromosome cannot be ascribed to phenotypic uncertainties and misclassifications, i.e., a type I error. Although the lod score (the logarithm of odds) favoring linkage is reduced with the more restrictive clinical definitions of the phenotype, it remains significant nonetheless. Thus, the linkage finding is robust over a range of phenotypic patterns and presumed phenocopy frequencies. The results also suggest that the X-linked phenotype is a particularly severe form of manic depression characterized by early onset, high familial prevalence of the bipolar form, and high recurrence rate of major depression. These findings may have important implications for the design and interpretation of genetic linkage studies and for refining diagnostic techniques in mental disorders.

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Year:  1990        PMID: 2248044     DOI: 10.1111/j.1600-0447.1990.tb03052.x

Source DB:  PubMed          Journal:  Acta Psychiatr Scand        ISSN: 0001-690X            Impact factor:   6.392


  3 in total

1.  A critical analysis of data presented in eight studies favouring X-linkage of bipolar illness with special emphasis on formal genetic aspects.

Authors:  J Hebebrand; K Hennighausen
Journal:  Hum Genet       Date:  1992-11       Impact factor: 4.132

Review 2.  Current perspectives on the genetics of unipolar depression.

Authors:  S O Moldin; T Reich; J P Rice
Journal:  Behav Genet       Date:  1991-05       Impact factor: 2.805

3.  Validation of a DIS-III-R rescoring algorithm for DSM-IV alcohol-use disorders.

Authors:  Garnett P McMillan; Sandra Lapham; Janet C'de Baca
Journal:  J Stud Alcohol Drugs       Date:  2009-01       Impact factor: 2.582

  3 in total

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