Literature DB >> 1897525

Linkage analysis of quantitative traits: increased power by using selected samples.

G Carey1, J Williamson.   

Abstract

Although a number of methods have been developed for linkage analysis of quantitative traits, power is relatively poor unless there is a single major locus of very large effect. Here it is demonstrated that the use of selected samples (i.e., ascertainment of a proband with an extreme score on the quantitative measure) can dramatically increase power, especially when proband selection is performed on the tail of a distribution with an infrequent recessive gene. Depending on gene action and allele frequency, selected samples permit detection of a major locus that accounts for as little as 10%-20% of the phenotypic variation. The judicious use of selected samples can make an appreciable difference in the feasibility of linkage studies for quantitative traits.

Mesh:

Year:  1991        PMID: 1897525      PMCID: PMC1683186     

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


  13 in total

1.  The power of identity-by-state methods for linkage analysis.

Authors:  D T Bishop; J A Williamson
Journal:  Am J Hum Genet       Date:  1990-02       Impact factor: 11.025

2.  Partitioned twin analysis: a power study.

Authors:  W E Nance; M C Neale
Journal:  Behav Genet       Date:  1989-01       Impact factor: 2.805

3.  Multifactorial analysis of family data ascertained through truncation: a comparative evaluation of two methods of statistical inference.

Authors:  D C Rao; R Wette; W J Ewens
Journal:  Am J Hum Genet       Date:  1988-03       Impact factor: 11.025

4.  A more powerful robust sib-pair test of linkage for quantitative traits.

Authors:  C I Amos; R C Elston; A F Wilson; J E Bailey-Wilson
Journal:  Genet Epidemiol       Date:  1989       Impact factor: 2.135

5.  Robust methods for the detection of genetic linkage for quantitative data from pedigrees.

Authors:  C I Amos; R C Elston
Journal:  Genet Epidemiol       Date:  1989       Impact factor: 2.135

6.  Multiple regression analysis of twin data: etiology of deviant scores versus individual differences.

Authors:  J C DeFries; D W Fulker
Journal:  Acta Genet Med Gemellol (Roma)       Date:  1988

7.  Identifying pedigrees segregating at a major locus for a quantitative trait: an efficient strategy for linkage analysis.

Authors:  M Boehnke; P P Moll
Journal:  Am J Hum Genet       Date:  1989-02       Impact factor: 11.025

8.  A nonparametric and a parametric version of a test for the detection of the presence of a major gene applicable on data for the complete nuclear family.

Authors:  S D Jayakar; J A Williamson; L Zonta-Sgaramella
Journal:  Hum Genet       Date:  1984       Impact factor: 4.132

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.  Linkage between a marker locus and a quantitative trait of sibs.

Authors:  C C Cockerham; B S Weir
Journal:  Am J Hum Genet       Date:  1983-03       Impact factor: 11.025

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  39 in total

1.  Sampling strategies for model free linkage analyses of quantitative traits: implications for sib pair studies of reading and spelling disabilities to minimize the total study cost.

Authors:  A Ziegler
Journal:  Eur Child Adolesc Psychiatry       Date:  1999       Impact factor: 4.785

2.  Considerations on study designs using the extreme sibpairs methods under multilocus oligogenic models.

Authors:  Chi Gu; D C Rao
Journal:  Genetics       Date:  2002-04       Impact factor: 4.562

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

Authors:  G R Abecasis; W O Cookson; L R Cardon
Journal:  Am J Hum Genet       Date:  2001-05-08       Impact factor: 11.025

4.  Genetic loci modulating fitness and life span in Caenorhabditis elegans: categorical trait interval mapping in CL2a x Bergerac-BO recombinant-inbred worms.

Authors:  Srinivas Ayyadevara; Rajani Ayyadevara; Anthony Vertino; Andrzej Galecki; John J Thaden; Robert J Shmookler Reis
Journal:  Genetics       Date:  2003-02       Impact factor: 4.562

5.  Linkage analysis of extremely discordant and concordant sibling pairs identifies quantitative-trait loci that influence variation in the human personality trait neuroticism.

Authors:  Jan Fullerton; Matthew Cubin; Hemant Tiwari; Chenxi Wang; Amarjit Bomhra; Stuart Davidson; Sue Miller; Christopher Fairburn; Guy Goodwin; Michael C Neale; Simon Fiddy; Richard Mott; David B Allison; Jonathan Flint
Journal:  Am J Hum Genet       Date:  2003-02-20       Impact factor: 11.025

6.  Comparison of genome screens for two independent cohorts provides replication of suggestive linkage of bone mineral density to 3p21 and 1p36.

Authors:  S G Wilson; P W Reed; A Bansal; M Chiano; M Lindersson; M Langdown; R L Prince; D Thompson; E Thompson; M Bailey; P W Kleyn; P Sambrook; M M Shi; T D Spector
Journal:  Am J Hum Genet       Date:  2002-12-11       Impact factor: 11.025

7.  Evidence of linkage of HDL level variation to APOC3 in two samples with different ascertainment.

Authors:  France Gagnon; Gail P Jarvik; Arno G Motulsky; Samir S Deeb; John D Brunzell; Ellen M Wijsman
Journal:  Hum Genet       Date:  2003-08-29       Impact factor: 4.132

8.  A unified framework for detecting rare variant quantitative trait associations in pedigree and unrelated individuals via sequence data.

Authors:  Dajiang J Liu; Suzanne M Leal
Journal:  Hum Hered       Date:  2012-04-28       Impact factor: 0.444

9.  Linkage between loci of quantitative traits and marker loci: multi-trait analysis with a single marker.

Authors:  Y I Ronin; V M Kirzhner; A B Korol
Journal:  Theor Appl Genet       Date:  1995-05       Impact factor: 5.699

10.  Interval mapping of quantitative trait loci employing correlated trait complexes.

Authors:  A B Korol; Y I Ronin; V M Kirzhner
Journal:  Genetics       Date:  1995-07       Impact factor: 4.562

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