Literature DB >> 8079996

Design and sample-size considerations in the detection of linkage disequilibrium with a disease locus.

J M Olson1, E M Wijsman.   

Abstract

The presence of linkage disequilibrium between closely linked loci can aid in the fine mapping of disease loci. We investigate the power of several designs for sampling individuals with different disease genotypes. As expected, haplotype data provide the greatest power for detecting disequilibrium, but, in the absence of parental information to resolve the phase of double heterozygotes, the most powerful design samples only individuals homozygous at the trait locus. For rare diseases, such a scheme is generally not feasible, and we also provide power and sample-size calculations for designs that sample heterozygotes. The results provide information useful in planning disequilibrium studies.

Mesh:

Year:  1994        PMID: 8079996      PMCID: PMC1918401     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  13 in total

1.  Estimating linkage disequilibrium from conditional data.

Authors:  P J Maiste; B S Weir
Journal:  Am J Hum Genet       Date:  1992-05       Impact factor: 11.025

2.  Detection of marker associations with a dominant disease gene in genetically complex and heterogeneous diseases.

Authors:  E S Gershon; M Martinez; L Goldin; J Gelernter; J Silver
Journal:  Am J Hum Genet       Date:  1989-10       Impact factor: 11.025

3.  The detection of linkage disequilibrium between closely linked markers: RFLPs at the AI-CIII apolipoprotein genes.

Authors:  E A Thompson; S Deeb; D Walker; A G Motulsky
Journal:  Am J Hum Genet       Date:  1988-01       Impact factor: 11.025

4.  Complex patterns of linkage disequilibrium in the Huntington disease region.

Authors:  M E MacDonald; C Lin; L Srinidhi; G Bates; M Altherr; W L Whaley; H Lehrach; J Wasmuth; J F Gusella
Journal:  Am J Hum Genet       Date:  1991-10       Impact factor: 11.025

5.  Familial Mediterranean fever (FMF) in Moroccan Jews: demonstration of a founder effect by extended haplotype analysis.

Authors:  I Aksentijevich; E Pras; L Gruberg; Y Shen; K Holman; S Helling; L Prosen; G R Sutherland; R I Richards; M Dean
Journal:  Am J Hum Genet       Date:  1993-09       Impact factor: 11.025

6.  Estimation of the marker gene frequency and linkage disequilibrium from conditional marker data.

Authors:  A Chakravarti; C C Li; K H Buetow
Journal:  Am J Hum Genet       Date:  1984-01       Impact factor: 11.025

7.  Non-random association between electromorphs and inversion chromosomes in finite populations.

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8.  Inferences about linkage disequilibrium.

Authors:  B S Weir
Journal:  Biometrics       Date:  1979-03       Impact factor: 2.571

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Authors:  R Chakraborty; A S Lidsky; S P Daiger; F Güttler; S Sullivan; A G Dilella; S L Woo
Journal:  Hum Genet       Date:  1987-05       Impact factor: 4.132

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  16 in total

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Journal:  Am J Hum Genet       Date:  2006-07-24       Impact factor: 11.025

5.  Simple methods for assessing haplotype-environment interactions in case-only and case-control studies.

Authors:  L C Kwee; M P Epstein; A K Manatunga; R Duncan; A S Allen; G A Satten
Journal:  Genet Epidemiol       Date:  2007-01       Impact factor: 2.135

6.  Genome association studies of complex diseases by case-control designs.

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Journal:  Am J Hum Genet       Date:  2003-03-19       Impact factor: 11.025

7.  Linkage disequilibrium mapping in isolated populations: the example of Finland revisited.

Authors:  A de la Chapelle; F A Wright
Journal:  Proc Natl Acad Sci U S A       Date:  1998-10-13       Impact factor: 11.205

8.  Genome screens using linkage disequilibrium tests: optimal marker characteristics and feasibility.

Authors:  N H Chapman; E M Wijsman
Journal:  Am J Hum Genet       Date:  1998-12       Impact factor: 11.025

9.  Toward localization of the Werner syndrome gene by linkage disequilibrium and ancestral haplotyping: lessons learned from analysis of 35 chromosome 8p11.1-21.1 markers.

Authors:  K A Goddard; C E Yu; J Oshima; T Miki; J Nakura; C Piussan; G M Martin; G D Schellenberg; E M Wijsman
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

10.  A haplotype of the GOSR2 gene is associated with myocardial infarction in Japanese men.

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