Evidence map›Paper›PMID 32045910›Full record

ArticleHuman heredity2019

Mathematical Properties of Linkage Disequilibrium Statistics Defined by Normalization of the Coefficient D = pAB - pApB.

Jonathan T L Kang, Noah A Rosenberg

Open access · greenAbstract readComparative Study
In one paragraph

Article in Human heredity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Mathematical bounds on rTheoretical population biology · 2025
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  5. Mathematical bounds onbioRxiv : the preprint server for biology · 2024
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  8. Genome-Wide SNP and Indel Discovery in Abaca (Current issues in molecular biology · 2023
    Article
  9. Review
  10. 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 at 1 institution in 1 country.

Jonathan T L KangDepartment of Biology, Stanford University, Stanford, California, USA, jonathan.tl.kang@gmail.com.
Noah A RosenbergDepartment of Biology, Stanford University, Stanford, California, USA.
Stanford University · US

Funding

Population genetics for large-scale sequencing studies of diverse populationsR01HG005855 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Noah Rosenberg, Paul A Scheet · 2010 to 2026
$5.8M
NHGRI NIH HHS R01 HG005855
6 · The paper itself

Abstract

backgroundMany statistics for measuring linkage disequilibrium (LD) take the form of a normalization of the LD coefficient D. Different normalizations produce statistics with different ranges, interpretations, and arguments favoring their use.

methodsHere, to compare the mathematical properties of these normalizations, we consider 5 of these normalized statistics, describing their upper bounds, the mean values of their maxima over the set of possible allele frequency pairs, and the size of the allele frequency regions accessible given specified values of the statistics.

resultsWe produce detailed characterizations of these properties for the statistics d and ρ, analogous to computations previously performed for r2. We examine the relationships among the statistics, uncovering conditions under which some of them have close connections.

conclusionThe results contribute insight into LD measurement, particularly the understanding of differences in the features of different LD measures when computed on the same data.

Indexed as

Linkage DisequilibriumModels, GeneticModels, StatisticalAllelesGene FrequencyHumansMathematicsAllele frequenciesLinkage disequilibriumPopulation geneticsStatistical geneticsStatistics

Identifiers

PMID32045910
PMCPMC7199518
OpenAlexW3006305335

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.