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Literature DB >> 9915965

Combined linkage and association sib-pair analysis for quantitative traits.

D W Fulker¹, S S Cherny, P C Sham, J K Hewitt.

Abstract

An extension to current maximum-likelihood variance-components procedures for mapping quantitative-trait loci in sib pairs that allows a simultaneous test of allelic association is proposed. The method involves modeling of the allelic means for a test of association, with simultaneous modeling of the sib-pair covariance structure for a test of linkage. By partitioning of the mean effect of a locus into between- and within-sibship components, the method controls for spurious associations due to population stratification and admixture. The power and efficacy of the method are illustrated through simulation of various models of both real and spurious association.

Mesh：

Year: 1999 PMID： 9915965 PMCID： PMC1377724 DOI： 10.1086/302193

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

17 in total

1. A haplotype-based 'haplotype relative risk' approach to detecting allelic associations.

Authors: J D Terwilliger; J Ott
Journal: Hum Hered Date: 1992 Impact factor: 0.444

2. An improved multipoint sib-pair analysis of quantitative traits.

Authors: D W Fulker; S S Cherny
Journal: Behav Genet Date: 1996-09 Impact factor: 2.805

3. Transmission-disequilibrium tests for quantitative traits.

Authors: D B Allison
Journal: Am J Hum Genet Date: 1997-03 Impact factor: 11.025

4. Monte Carlo tests for associations between disease and alleles at highly polymorphic loci.

Authors: P C Sham; D Curtis
Journal: Ann Hum Genet Date: 1995-01 Impact factor: 1.670

5. A random model approach to interval mapping of quantitative trait loci.

Authors: S Xu; W R Atchley
Journal: Genetics Date: 1995-11 Impact factor: 4.562

6. A note on the application of the transmission disequilibrium test when a parent is missing.

Authors: D Curtis; P C Sham
Journal: Am J Hum Genet Date: 1995-03 Impact factor: 11.025

7. Complete multipoint sib-pair analysis of qualitative and quantitative traits.

Authors: L Kruglyak; E S Lander
Journal: Am J Hum Genet Date: 1995-08 Impact factor: 11.025

8. Robust variance-components approach for assessing genetic linkage in pedigrees.

Authors: C I Amos
Journal: Am J Hum Genet Date: 1994-03 Impact factor: 11.025

9. The investigation of linkage between a quantitative trait and a marker locus.

Authors: J K Haseman; R C Elston
Journal: Behav Genet Date: 1972-03 Impact factor: 2.805

10. Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM).

Authors: R S Spielman; R E McGinnis; W J Ewens
Journal: Am J Hum Genet Date: 1993-03 Impact factor: 11.025

136 in total

1. Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data.

Authors: P C Sham; S S Cherny; S Purcell; J K Hewitt
Journal: Am J Hum Genet Date: 2000-04-12 Impact factor: 11.025

2. QTL fine mapping by measuring and testing for Hardy-Weinberg and linkage disequilibrium at a series of linked marker loci in extreme samples of populations.

Authors: H W Deng; W M Chen; R R Recker
Journal: Am J Hum Genet Date: 2000-03 Impact factor: 11.025

10. Fine mapping of complex trait genes combining pedigree and linkage disequilibrium information: a Bayesian unified framework.

Authors: Miguel Pérez-Enciso
Journal: Genetics Date: 2003-04 Impact factor: 4.562

Combined linkage and association sib-pair analysis for quantitative traits.

1. A haplotype-based 'haplotype relative risk' approach to detecting allelic associations.

2. An improved multipoint sib-pair analysis of quantitative traits.

3. Transmission-disequilibrium tests for quantitative traits.

4. Monte Carlo tests for associations between disease and alleles at highly polymorphic loci.

5. A random model approach to interval mapping of quantitative trait loci.

6. A note on the application of the transmission disequilibrium test when a parent is missing.

7. Complete multipoint sib-pair analysis of qualitative and quantitative traits.

8. Robust variance-components approach for assessing genetic linkage in pedigrees.

9. The investigation of linkage between a quantitative trait and a marker locus.

10. Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM).

1. Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data.

2. QTL fine mapping by measuring and testing for Hardy-Weinberg and linkage disequilibrium at a series of linked marker loci in extreme samples of populations.

3. Family-based tests of association and linkage that use unaffected sibs, covariates, and interactions.

4. A general test of association for quantitative traits in nuclear families.

5. A statistical method for identification of polymorphisms that explain a linkage result.

6. Quantitative similarity-based association tests using population samples.

7. Evidence for linkage and association with reading disability on 6p21.3-22.

8. The power to detect linkage disequilibrium with quantitative traits in selected samples.

9. Inferring linkage disequilibrium between a polymorphic marker locus and a trait locus in natural populations.

10. Fine mapping of complex trait genes combining pedigree and linkage disequilibrium information: a Bayesian unified framework.