Literature DB >> 11378821

Analytic power calculation for QTL linkage analysis of small pedigrees.

F V Rijsdijk1, J K Hewitt, P C Sham.   

Abstract

Power calculation for QTL linkage analysis can be performed via simple algebraic formulas for small pedigrees, but requires intensive computation for large pedigrees, in order to evaluate the expectation of the test statistic over all possible inheritance vectors at the test position. In this report, we show that the non-centrality parameter for an arbitrary pedigree can be approximated by the sum of the variances of the correlations between all pairs of relatives, each variance being weighted by a factor that is determined by the mean correlation of the pair. We show that this approximation is sufficiently accurate for practical purposes in small to moderately large pedigrees, and that large sibships are more efficient than other family structures under a range of genetic models.

Mesh:

Year:  2001        PMID: 11378821     DOI: 10.1038/sj.ejhg.5200634

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  10 in total

1.  Equivalence between Haseman-Elston and variance-components linkage analyses for sib pairs.

Authors:  P C Sham; S Purcell
Journal:  Am J Hum Genet       Date:  2001-05-14       Impact factor: 11.025

2.  The power to detect genetic linkage for quantitative traits in the Utah CEPH pedigrees.

Authors:  Alka Malhotra; Kevin Cromer; Mark F Leppert; Sandra J Hasstedt
Journal:  J Hum Genet       Date:  2005-01-29       Impact factor: 3.172

3.  Variance components linkage analysis with repeated measurements.

Authors:  Liming Liang; Wei-Min Chen; Pak C Sham; Gonçalo R Abecasis
Journal:  Hum Hered       Date:  2008-01-27       Impact factor: 0.444

4.  A kernel of truth: statistical advances in polygenic variance component models for complex human pedigrees.

Authors:  John Blangero; Vincent P Diego; Thomas D Dyer; Marcio Almeida; Juan Peralta; Jack W Kent; Jeff T Williams; Laura Almasy; Harald H H Göring
Journal:  Adv Genet       Date:  2013       Impact factor: 1.944

5.  Investigation of chromosome 2q in osteoarthritis of the hand: no significant linkage in a Tasmanian population.

Authors:  J Stankovich; M M Sale; H M Cooley; M Bahlo; A Reilly; J L Dickinson; G Jones
Journal:  Ann Rheum Dis       Date:  2002-12       Impact factor: 19.103

6.  Assumption-free estimation of heritability from genome-wide identity-by-descent sharing between full siblings.

Authors:  Peter M Visscher; Sarah E Medland; Manuel A R Ferreira; Katherine I Morley; Gu Zhu; Belinda K Cornes; Grant W Montgomery; Nicholas G Martin
Journal:  PLoS Genet       Date:  2006-03-24       Impact factor: 5.917

7.  A general unified framework to assess the sampling variance of heritability estimates using pedigree or marker-based relationships.

Authors:  Peter M Visscher; Michael E Goddard
Journal:  Genetics       Date:  2014-10-31       Impact factor: 4.562

8.  Gene selection tool (GST): A R-based tool for genetic disorders based on the sliding-window proportion test using whole-exome sequencing data.

Authors:  Sugi Lee; Minah Jung; Jaeeun Jung; Kunhyang Park; Jea-Woon Ryu; Jeongkil Kim; Dae-Soo Kim
Journal:  PLoS One       Date:  2017-09-28       Impact factor: 3.240

9.  Behavioral and EEG responses to social evaluation: A two-generation family study on social anxiety.

Authors:  Anita Harrewijn; Melle J W van der Molen; Irene M van Vliet; Renaud L M Tissier; P Michiel Westenberg
Journal:  Neuroimage Clin       Date:  2017-11-11       Impact factor: 4.881

10.  Statistical power to detect genetic (co)variance of complex traits using SNP data in unrelated samples.

Authors:  Peter M Visscher; Gibran Hemani; Anna A E Vinkhuyzen; Guo-Bo Chen; Sang Hong Lee; Naomi R Wray; Michael E Goddard; Jian Yang
Journal:  PLoS Genet       Date:  2014-04-10       Impact factor: 5.917

  10 in total

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