Literature DB >> 8330880

Methodological issues in linkage analyses for psychiatric disorders: secular trends, assortative mating, bilineal pedigrees. Report of the MacArthur Foundation Network I Task Force on Methodological Issues.

M A Spence1, D T Bishop, M Boehnke, R C Elston, C Falk, S E Hodge, J Ott, J Rice, K Merikangas, D Kupfer.   

Abstract

A Task Force was assembled to address three data problems in genetic linkage analyses: (1) a secular trend, e.g. cohort effect; (2) positive assortative mating, and (3) bilineal pedigrees. All are cited as reasons for failure to replicate genetic linkage reports. However, we knew of no work demonstrating that these factors could invalidate or bias linkage analyses, nor that they were complications (e.g., variable age of onset). The Task Force concluded that these factors can reduce the power of linkage analyses and result in bias in the estimate of the recombination frequency due to the fact that they represent 'noise' in the system. There was little evidence that the three factors would invalidate a linkage analysis or be directly responsible for negating a linkage finding.

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Year:  1993        PMID: 8330880     DOI: 10.1159/000154173

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  5 in total

Review 1.  Genetics of schizophrenia and the new millennium: progress and pitfalls.

Authors:  M Baron
Journal:  Am J Hum Genet       Date:  2001-01-17       Impact factor: 11.025

2.  The emperor's new methods.

Authors:  M Anne Spence; David A Greenberg; Susan E Hodge; Veronica J Vieland
Journal:  Am J Hum Genet       Date:  2003-04-18       Impact factor: 11.025

3.  Effect of genetic heterogeneity and assortative mating on linkage analysis: a simulation study.

Authors:  C T Falk
Journal:  Am J Hum Genet       Date:  1997-11       Impact factor: 11.025

Review 4.  Identification of the phenotype in psychiatric genetics.

Authors:  M T Tsuang; S V Faraone; M J Lyons
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  1993       Impact factor: 5.270

5.  A genome-wide linkage study of mammographic density, a risk factor for breast cancer.

Authors:  Celia M T Greenwood; Andrew D Paterson; Linda Linton; Irene L Andrulis; Carmel Apicella; Apostolos Dimitromanolakis; Valentina Kriukov; Lisa J Martin; Ayesha Salleh; Elena Samiltchuk; Rashmi V Parekh; Melissa C Southey; Esther M John; John L Hopper; Norman F Boyd; Johanna M Rommens
Journal:  Breast Cancer Res       Date:  2011-12-21       Impact factor: 6.466

  5 in total

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