Evidence map›Paper›PMID 11353401›Full record

ArticleAmerican journal of human genetics2001

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

P C Sham, S Purcell

Abstract read
In one paragraph

Article in American journal of human genetics, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

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  19. Article
  20. Robust score statistics for QTL linkage analysis.American journal of human genetics · 2008
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

P C ShamSocial, Genetic & Developmental Research Centre, Institute of Psychiatry, London, SE5 8AF, England. p.sham@iop.kcl.ac.uk
S Purcell

Funding

VARIANCE COMPONENTS MODELS FOR MAPPING QTLSR01EY012562 · NEI · UNIVERSITY OF COLORADO AT BOULDER · PI HEWITT, JOHN K · 1999 to 2006
$2.1M
NEI NIH HHS EY12562NEI NIH HHS R01 EY012562
6 · The paper itself

Abstract

The Haseman-Elston regression method offers a simpler alternative to variance-components (VC) models, for the linkage analysis of quantitative traits. However, even the "revisited" method, which uses the cross-product--rather than the squared difference--in sib trait values, is, in general, less powerful than VC models. In this report, we clarify the relative efficiencies of existing Haseman-Elston methods and show how a new Haseman-Elston method can be constructed to have power equivalent to that of VC models. This method uses as the dependent variable a linear combination of squared sums and squared differences, in which the weights are determined by the overall trait correlation between sibs in a population. We show how this method can be used for both the selection of maximally informative sib pairs for genotyping and the subsequent analysis of such selected samples.

Indexed as

Chi-Square DistributionChromosome MappingComputer SimulationGenetic LinkageGenotypeHumansMatched-Pair AnalysisNuclear FamilyQuantitative Trait, HeritableRegression Analysis

Identifiers

PMID11353401
PMCPMC1226141

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.