Literature DB >> 7979159

Using risk calculation to implement an extended relative pair analysis.

D Curtis1, P C Sham.   

Abstract

A new nonparametric method of linkage analysis is described based on identity by descent relationships between all pairs of affected relatives within a pedigree. This approach is an extension of ESPA, which only uses information from pairs of affected siblings. The new method, called ERPA, uses the risk calculation facilities of the LINKAGE programs to obtain the necessary information in a fashion which is simple to implement and which automatically generalizes to allow for marker loci which may be multiple, non-codominant and sex-linked. We have investigated the relative performance of ERPA, ESPA and the lod score method on simulated data. ERPA appears to be more sensitive than ESPA for detecting linkage in pedigrees with small sibships, though both nonparametric methods are inferior to the lod score method when the true mode of transmission can be specified.

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Year:  1994        PMID: 7979159     DOI: 10.1111/j.1469-1809.1994.tb01884.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  13 in total

1.  Assessment of parent-of-origin effects in linkage analysis of quantitative traits.

Authors:  R L Hanson; S Kobes; R S Lindsay; W C Knowler
Journal:  Am J Hum Genet       Date:  2001-03-13       Impact factor: 11.025

2.  Power comparison of parametric and nonparametric linkage tests in small pedigrees.

Authors:  P C Sham; M W Lin; J H Zhao; D Curtis
Journal:  Am J Hum Genet       Date:  2000-04-11       Impact factor: 11.025

3.  Powerful regression-based quantitative-trait linkage analysis of general pedigrees.

Authors:  Pak C Sham; Shaun Purcell; Stacey S Cherny; Gonçalo R Abecasis
Journal:  Am J Hum Genet       Date:  2002-07-05       Impact factor: 11.025

4.  Meprin beta metalloprotease gene polymorphisms associated with diabetic nephropathy in the Pima Indians.

Authors:  Alexander R Red Eagle; Robert L Hanson; Weiping Jiang; Xiaoli Han; Gail L Matters; Giuseppina Imperatore; William C Knowler; Judith S Bond
Journal:  Hum Genet       Date:  2005-10-28       Impact factor: 4.132

5.  Quantitative trait loci for peripheral blood cell counts: a study in baboons.

Authors:  Angéline Bertin; Michael C Mahaney; Laura A Cox; Jeffrey Rogers; John L VandeBerg; Carlo Brugnara; Orah S Platt
Journal:  Mamm Genome       Date:  2007-06-08       Impact factor: 2.957

6.  Genotype-by-diet effects on co-variation in Lp-PLA2 activity and LDL-cholesterol concentration in baboons fed an atherogenic diet.

Authors:  Amanda Vinson; Michael C Mahaney; Vince P Diego; Laura A Cox; Jeffrey Rogers; John L VandeBerg; David L Rainwater
Journal:  J Lipid Res       Date:  2008-03-11       Impact factor: 5.922

7.  Nonparametric simulation-based statistics for detecting linkage in general pedigrees.

Authors:  S Davis; M Schroeder; L R Goldin; D E Weeks
Journal:  Am J Hum Genet       Date:  1996-04       Impact factor: 11.025

8.  Evidence of linkage disequilibrium between schizophrenia and the SCa1 CAG repeat on chromosome 6p23.

Authors:  S Wang; S D Detera-Wadleigh; H Coon; C E Sun; L R Goldin; D L Duffy; W F Byerley; E S Gershon; S R Diehl
Journal:  Am J Hum Genet       Date:  1996-09       Impact factor: 11.025

9.  Parametric and nonparametric linkage analysis: a unified multipoint approach.

Authors:  L Kruglyak; M J Daly; M P Reeve-Daly; E S Lander
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

10.  Comparison of nonparametric statistics for detection of linkage in nuclear families: single-marker evaluation.

Authors:  S Davis; D E Weeks
Journal:  Am J Hum Genet       Date:  1997-12       Impact factor: 11.025

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