Evidence map›Paper›PMID 12654718›Full record

ArticleGenome research2003

Novel multilocus measure of linkage disequilibrium to estimate past effective population size.

Ben J Hayes, Peter M Visscher, Helen C McPartlan, Mike E Goddard

Open access · bronzeAbstract read
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Article in Genome research, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 214 papers.

0numbers the graph read from it
0cells of the map it votes in
214citing 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

214 citing papers in PubMed, 468 citations in OpenAlex.

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  20. Integration of Multiomics Data Reveals Selection Characteristics ofInternational journal of molecular sciences · 2025
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154 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Ben J HayesVictorian Institute of Animal Science, Department of Natural Resources and Environment, Attwood, Victoria, 3049, Australia. Ben.Hayes@nre.vic.gov.au
Peter M Visscher
Helen C McPartlan
Mike E Goddard
Agriculture Victoria · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Linkage disequilibrium (LD) between densely spaced, polymorphic genetic markers in humans and other species contains information about historical population size. Inferring past population size is of interest both from an evolutionary perspective (e.g., testing the "out of Africa" hypothesis of human evolution) and to improve models for mapping of disease and quantitative trait genes. We propose a novel multilocus measure of LD, the chromosome segment homozygosity (CSH). CSH is defined for a specific chromosome segment, up to the full length of the chromosome. In computer simulations CSH was generally less variable than the r(2) measure of LD, and variability of CSH decreased as the number of markers in the chromosome segment was increased. The essence and utility of our novel measure is that CSH over long distances reflects recent effective population size (N), whereas CSH over small distances reflects the effective size in the more distant past. We illustrate the utility of CSH by calculating CSH from human and dairy cattle SNP and microsatellite marker data, and predicting N at various times in the past for each species. Results indicated an exponentially increasing N in humans and a declining N in dairy cattle. CSH is a valuable statistic for inferring population histories from haplotype data, and has implications for mapping of disease loci.

Indexed as

Evolution, MolecularGenetics, PopulationAnimalsCattleChromosome MappingGenetic MarkersHaplotypesHomozygoteHumansLinkage DisequilibriumModels, StatisticalRecombination, GeneticGenetic Markers

Identifiers

PMID12654718
PMCPMC430161
OpenAlexW2042666786

What OpenQuestion holds

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Registered trials

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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.