Literature DB >> 4078756

Multiple threshold models for the affective disorders: the Yale-NIMH collaborative family study.

R A Price, K K Kidd, D L Pauls, E S Gershon, B A Prusoff, M M Weissman, L R Goldin.   

Abstract

From the Yale-NIMH collaborative family study, the 1482 first degree relatives of 90 bipolar 1, and 163 major depression probands were examined to test the hypothesis that bipolar 1 and major depression are due to a single underlying genetic liability. We attempted to fit multifactorial-polygenic and single-major-locus multiple threshold models for sex and severity to the relatives in the major depression and bipolar 1 families. With relatives classified as affected only if they met criteria for major depression or bipolar 1, there was at best only marginal support for these models. Differences between these and previously reported results were examined in relation to differences in underlying assumptions. Additional analyses of these and other data from families of NIMH bipolar 2 and schizoaffective probands suggest that different methods of age adjustment, the relative placement of bipolar 2 and schizoaffective disorders in a hypothesized liability continuum and the inclusion or exclusion of sex thresholds were not primarily responsible for differences in the fit of genetic threshold models. Factors which do appear to be important are variability in rates between samples, the possibility of genetic heterogeneity, and the presence of a large secular increase in affective illness over the past three generations; the secular trend cannot be accommodated in the models of genetic transmission examined.

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Year:  1985        PMID: 4078756     DOI: 10.1016/0022-3956(85)90071-8

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  8 in total

1.  Genome-wide association study of temperament in bipolar disorder reveals significant associations with three novel Loci.

Authors:  Tiffany A Greenwood; Hagop S Akiskal; Kareen K Akiskal; John R Kelsoe
Journal:  Biol Psychiatry       Date:  2012-02-23       Impact factor: 13.382

2.  Patterns of maternal transmission in bipolar affective disorder.

Authors:  F J McMahon; O C Stine; D A Meyers; S G Simpson; J R DePaulo
Journal:  Am J Hum Genet       Date:  1995-06       Impact factor: 11.025

3.  Genetic segregation analysis of early-onset recurrent unipolar depression.

Authors:  M L Marazita; K Neiswanger; M Cooper; G S Zubenko; D E Giles; E Frank; D J Kupfer; B B Kaplan
Journal:  Am J Hum Genet       Date:  1997-12       Impact factor: 11.025

4.  Heritability and genome-wide SNP linkage analysis of temperament in bipolar disorder.

Authors:  Tiffany A Greenwood; Judith A Badner; William Byerley; Paul E Keck; Susan L McElroy; Ronald A Remick; A Dessa Sadovnick; Hagop S Akiskal; John R Kelsoe
Journal:  J Affect Disord       Date:  2013-06-10       Impact factor: 4.839

5.  Heritability and linkage analysis of personality in bipolar disorder.

Authors:  Tiffany A Greenwood; Judith A Badner; William Byerley; Paul E Keck; Susan L McElroy; Ronald A Remick; A Dessa Sadovnick; John R Kelsoe
Journal:  J Affect Disord       Date:  2013-08-22       Impact factor: 4.839

Review 6.  The genetics of major depression.

Authors:  Jonathan Flint; Kenneth S Kendler
Journal:  Neuron       Date:  2014-02-05       Impact factor: 17.173

Review 7.  Using the tools of genetic epidemiology to understand sex differences in neuropsychiatric disorders.

Authors:  Alison K Merikangas; Laura Almasy
Journal:  Genes Brain Behav       Date:  2020-06-22       Impact factor: 3.449

Review 8.  Toward a Deeper Understanding of the Genetics of Bipolar Disorder.

Authors:  Berit Kerner
Journal:  Front Psychiatry       Date:  2015-08-03       Impact factor: 4.157

  8 in total

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