Literature DB >> 8968712

Combining extremely concordant sibpairs with extremely discordant sibpairs provides a cost effective way to linkage analysis of quantitative trait loci.

C Gu1, A Todorov, D C Rao.   

Abstract

Extremely discordant (ED) sibpairs have been shown to be very powerful for linkage analysis of human quantitative traits [Risch and Zhang (1995) Science 268: 1584-1589]. In many cases, the extremely concordant (EC) sibpairs collected in the process of screening for ED sibpairs carry valuable information for linkage. Therefore, it seems justifiable to investigate the advantages of genotyping and to include them with the ED sibpairs for linkage analysis. Herein we explore the distributions of EC as well as ED sibpairs under various genetic models and provide a basis for combining both types of sibpairs. A simple statistic testing means of genes shared identical by descent (IBD) in applied to combine both types of EC sibpairs (high-high and low-low) with the ED pairs. We show that when a decent number of EC pairs is added to the ED sample for analysis, the power is much enhanced, making it especially desirable when the number of available ED pairs is small. We show at the same time that combining EC pairs with ED pairs is more cost effective than pursuing ED sibpairs alone.

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Year:  1996        PMID: 8968712     DOI: 10.1002/(SICI)1098-2272(1996)13:6<513::AID-GEPI1>3.0.CO;2-1

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


  14 in total

1.  Composite statistics for QTL mapping with moderately discordant sibling pairs.

Authors:  W F Forrest; E Feingold
Journal:  Am J Hum Genet       Date:  2000-04-07       Impact factor: 11.025

2.  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

3.  A score-statistic approach for the mapping of quantitative-trait loci with sibships of arbitrary size.

Authors:  K Wang; J Huang
Journal:  Am J Hum Genet       Date:  2001-12-27       Impact factor: 11.025

4.  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

5.  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

Review 6.  Genetic epidemiological approaches in the study of risk factors for cardiovascular disease.

Authors:  Anastasia Iliadou; Harold Snieder
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

7.  A simulation study of the effects of assignment of prior identity-by-descent probabilities to unselected sib pairs, in covariance-structure modeling of a quantitative-trait locus.

Authors:  C V Dolan; D I Boomsma; M C Neale
Journal:  Am J Hum Genet       Date:  1999-01       Impact factor: 11.025

8.  A linkage strategy for detection of human quantitative-trait loci. I. Generalized relative risk ratios and power of sib pairs with extreme trait values.

Authors:  C Gu; D C Rao
Journal:  Am J Hum Genet       Date:  1997-07       Impact factor: 11.025

9.  A linkage strategy for detection of human quantitative-trait loci. II. Optimization of study designs based on extreme sib pairs and generalized relative risk ratios.

Authors:  C Gu; D C Rao
Journal:  Am J Hum Genet       Date:  1997-07       Impact factor: 11.025

10.  Recent advances in human quantitative-trait-locus mapping: comparison of methods for discordant sibling pairs.

Authors:  Jin P Szatkiewicz; Karen T Cuenco; Eleanor Feingold
Journal:  Am J Hum Genet       Date:  2003-09-10       Impact factor: 11.025

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