Literature DB >> 3282981

Power of the affected-sib-pair method for heterogeneous disorders.

L R Goldin1, E S Gershon.   

Abstract

We have examined the sample sizes required to detect linkage using the affected-sib-pair (ASP) method for major psychiatric disorders that are characterized by population prevalences of 1-7%, decreased penetrance, phenocopies, and heterogeneity. In addition, the nature of these illnesses makes large, multigenerational pedigrees difficult to collect. We calculated the sample sizes needed to have 80% power of finding linkage (with a type I error rate of 5%) under dominant and recessive models with incomplete penetrance and allowing for recombination rates of up to 10% between the disease gene and marker gene. We have assumed that the identical-by-descent (IBD) status of ASPs is known exactly. For a disease like schizophrenia (1% population prevalence), if 50% of families are linked to a marker locus at 10% recombination, then 60 and 120 pairs are needed under recessive and dominant inheritance, respectively. For a disorder such as major affective disorder (7% population prevalence), the sample size is similar if the inheritance is recessive, but larger (160 pairs) if the inheritance is dominant. We conclude that this method may be a reasonable alternative for psychiatric disorders, especially to confirm that a linkage found in a specific pedigree or population isolate is also present in the general population.

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Year:  1988        PMID: 3282981     DOI: 10.1002/gepi.1370050104

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


  14 in total

1.  Linkage disequilibrium and allele-frequency distributions for 114 single-nucleotide polymorphisms in five populations.

Authors:  K A Goddard; P J Hopkins; J M Hall; J S Witte
Journal:  Am J Hum Genet       Date:  2000-01       Impact factor: 11.025

2.  Power of sib-pair and sib-trio linkage analysis with assortative mating and multiple disease loci.

Authors:  W M Sribney; M Swift
Journal:  Am J Hum Genet       Date:  1992-10       Impact factor: 11.025

3.  A new test for linkage in the presence of locus heterogeneity.

Authors:  C J MacLean; L M Ploughman; S R Diehl; K S Kendler
Journal:  Am J Hum Genet       Date:  1992-06       Impact factor: 11.025

4.  Detection of linkage for heterogeneous disorders by using multipoint linkage analysis.

Authors:  M Martinez; L R Goldin
Journal:  Am J Hum Genet       Date:  1991-12       Impact factor: 11.025

5.  Sampling strategies for linkage studies.

Authors:  L R Goldin; M M Martinez; E S Gershon
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  1991       Impact factor: 5.270

Review 6.  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

7.  Sample-size guidelines for linkage analysis of a dominant locus for a quantitative trait by the method of lod scores.

Authors:  M Boehnke
Journal:  Am J Hum Genet       Date:  1990-08       Impact factor: 11.025

8.  Effective testing of gene-disease associations.

Authors:  M Swift; L L Kupper; C L Chase
Journal:  Am J Hum Genet       Date:  1990-08       Impact factor: 11.025

9.  Assessing the statistical power to detect linkage in a sample of 51 bipolar affective disorder pedigrees.

Authors:  L C Lim; N Craddock; M Owen; P Sham; M M Nöthen; J Körner; M Rietschel; R Fimmer; P Propping; P McGuffin; R Murray; M Gill
Journal:  Behav Genet       Date:  1996-03       Impact factor: 2.805

10.  Estimating the power of a proposed linkage study for a complex genetic trait.

Authors:  L M Ploughman; M Boehnke
Journal:  Am J Hum Genet       Date:  1989-04       Impact factor: 11.025

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