Literature DB >> 434779

The use of multiple thresholds and segregation analysis in analyzing the phenotypic heterogeneity of multifactorial traits.

T Reich, J Rice, C R Cloninger, R Wette, J James.   

Abstract

(1) Three models based on multifactorial inheritance are introduced to account for phenotypic heterogeneities. These models are used to determine whether subforms of a triat are: (a) different degrees of the same process, (b) non-familial environmental variants of the same process, and (c) independently transmitted processes. (2) The parameters of each model consist of two population prevalences and either one, two, or three correlation coefficients which reflect the three hypotheses given above. The models are formulated so that a likelihood ratio test may be performed to discriminate between them. (3) The following types of analyses are described: (a) analysis of prevalence data with separate population prevalence estimates, (b) analysis of prevalence data with the proband a parent with specified spouse, (c) analysis of prevalence data with the proband an offspring with specified parents, and (d) the full segregation distribution of families using Complex Segregation Analysis. (4) When compared with the Analysis of Prevalences, Complex Segregation Analysis has the following advantages: (a) the number of degrees of freedom for parameter estimates is greater and separate estimates of the population prevalences are not necessary, (b) standard errors of the parameters are smaller, and (c) the power to discriminate models is increased. (5) Phenotypic heterogeneities such as age of onset, severity, and sex effect can be more completely understood by the methods of analyses described above. The nosology of familial disorders can also be clarified, and environments relevant to the transmission of the trait can be detected. This approach is particularly suitable for the analysis for behavioural traits since it does not require the assumption that environmental effects common to relatives be ignored. (6) Finally, our experience indicates that incorporating both prevalence and pedigree data into a single analysis decreases the time required to perform the analysis.

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Mesh:

Year:  1979        PMID: 434779     DOI: 10.1111/j.1469-1809.1979.tb00670.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  15 in total

1.  Familial syndrome patterns in schizophrenia, schizoaffective disorder, mania, and depression.

Authors:  H H Stassen; C Scharfetter; G Winokur; J Angst
Journal:  Eur Arch Psychiatry Neurol Sci       Date:  1988

2.  HLA-linked rheumatoid arthritis.

Authors:  S J Hasstedt; D O Clegg; L Ingles; R H Ward
Journal:  Am J Hum Genet       Date:  1994-10       Impact factor: 11.025

3.  Logistic regression analysis of twin data: estimation of parameters of the multifactorial liability-threshold model.

Authors:  P C Sham; E E Walters; M C Neale; A C Heath; C J MacLean; K S Kendler
Journal:  Behav Genet       Date:  1994-05       Impact factor: 2.805

4.  The power of the classical twin study to resolve variation in threshold traits.

Authors:  M C Neale; L J Eaves; K S Kendler
Journal:  Behav Genet       Date:  1994-05       Impact factor: 2.805

5.  A sib-pair strategy for the use of restriction fragment length polymorphisms to study the mode of transmission of type II diabetes.

Authors:  B K Suarez
Journal:  Am J Hum Genet       Date:  1983-01       Impact factor: 11.025

6.  Genetic analysis of Tourette syndrome suggesting major gene effect.

Authors:  M Baron; E Shapiro; A Shapiro; J D Rainer
Journal:  Am J Hum Genet       Date:  1981-09       Impact factor: 11.025

7.  Evidence that autistic traits show the same etiology in the general population and at the quantitative extremes (5%, 2.5%, and 1%).

Authors:  Elise B Robinson; Karestan C Koenen; Marie C McCormick; Kerim Munir; Victoria Hallett; Francesca Happé; Robert Plomin; Angelica Ronald
Journal:  Arch Gen Psychiatry       Date:  2011-11

8.  Familial risk of systemic sclerosis and co-aggregation of autoimmune diseases in affected families.

Authors:  Chang-Fu Kuo; Shue-Fen Luo; Kuang-Hui Yu; Lai-Chu See; Weiya Zhang; Michael Doherty
Journal:  Arthritis Res Ther       Date:  2016-10-12       Impact factor: 5.156

9.  Familial Risk of Sjögren's Syndrome and Co-aggregation of Autoimmune Diseases in Affected Families: A Nationwide Population Study.

Authors:  Chang-Fu Kuo; Matthew J Grainge; Ana M Valdes; Lai-Chu See; Shue-Fen Luo; Kuang-Hui Yu; Weiya Zhang; Michael Doherty
Journal:  Arthritis Rheumatol       Date:  2015-07       Impact factor: 10.995

10.  Familial aggregation of gout and relative genetic and environmental contributions: a nationwide population study in Taiwan.

Authors:  Chang-Fu Kuo; Matthew J Grainge; Lai-Chu See; Kuang-Hui Yu; Shue-Fen Luo; Ana M Valdes; Weiya Zhang; Michael Doherty
Journal:  Ann Rheum Dis       Date:  2013-11-21       Impact factor: 19.103

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