Literature DB >> 8314050

Genetic heterogeneity in Alzheimer's disease: a grade of membership analysis.

E H Corder1, M A Woodbury.   

Abstract

Grade of membership analysis (GoM) may have particular relevance for genetic epidemiology. The method can flexibly relate genetic markers, clinical features, and environmental exposures to possible subtypes of disease termed pure types even when population allele frequencies and penetrance functions are not known. Hence, GoM may complement existing strategies that sometimes fail in the presence of heterogeneity or when case definition is not well established. To illustrate the method, individuals in the Seattle data set were evaluated with respect to affection status, age at onset, pedigree, sex, and genetic markers on chromosomes 19 and 21. Seven pure types were found which we have designated as: Early Onset, Late Onset, Probable, and Unaffected 1 to Unaffected 4.

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Year:  1993        PMID: 8314050     DOI: 10.1002/gepi.1370100628

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  9 in total

1.  Bayesian latent trait modeling of migraine symptom data.

Authors:  Carla Chia Ming Chen; Jonathan M Keith; Dale R Nyholt; Nicholas G Martin; Kerrie L Mengersen
Journal:  Hum Genet       Date:  2009-04-24       Impact factor: 4.132

Review 2.  Genetics of autism: overview and new directions.

Authors:  P Szatmari; M B Jones; L Zwaigenbaum; J E MacLean
Journal:  J Autism Dev Disord       Date:  1998-10

3.  DESCRIBING DISABILITY THROUGH INDIVIDUAL-LEVEL MIXTURE MODELS FOR MULTIVARIATE BINARY DATA.

Authors:  Elena A Erosheva; Stephen E Fienberg; Cyrille Joutard
Journal:  Ann Appl Stat       Date:  2007       Impact factor: 2.083

4.  Linkage and heritability analysis of migraine symptom groupings: a comparison of three different clustering methods on twin data.

Authors:  Carla C M Chen; Kerrie L Mengersen; Jonathan M Keith; Nicholas G Martin; Dale R Nyholt
Journal:  Hum Genet       Date:  2009-03-19       Impact factor: 4.132

5.  Structural differences between apolipoprotein E3 and E4 as measured by (19)F NMR.

Authors:  Kanchan Garai; Sourajit M Mustafi; Berevan Baban; Carl Frieden
Journal:  Protein Sci       Date:  2010-01       Impact factor: 6.725

6.  Confronting complexity in late-onset Alzheimer disease: application of two-stage analysis approach addressing heterogeneity and epistasis.

Authors:  Tricia A Thornton-Wells; Jason H Moore; Eden R Martin; Margaret A Pericak-Vance; Jonathan L Haines
Journal:  Genet Epidemiol       Date:  2008-04       Impact factor: 2.135

7.  Parkinson's disease and low frequency alleles found together throughout LRRK2.

Authors:  Coro Paisán-Ruiz; Nicole Washecka; Priti Nath; Andrew B Singleton; Elizabeth H Corder
Journal:  Ann Hum Genet       Date:  2009-05-21       Impact factor: 1.670

8.  Optimal Trend Tests for Genetic Association Studies of Heterogeneous Diseases.

Authors:  Wen-Chung Lee
Journal:  Sci Rep       Date:  2016-06-09       Impact factor: 4.379

9.  Accurate phenotyping: Reconciling approaches through Bayesian model averaging.

Authors:  Carla Chia-Ming Chen; Jonathan Macgregor Keith; Kerrie Lee Mengersen
Journal:  PLoS One       Date:  2017-04-19       Impact factor: 3.240

  9 in total

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