Evidence map›Paper›PMID 31285255›Full record

ArticleGenetics2019

The Relationship Between Haplotype-Based

Rohan S Mehta, Alison F Feder, Simina M Boca, Noah A Rosenberg

Abstract read
In one paragraph

Article in Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Mathematical bounds on rTheoretical population biology · 2025
    Article
  3. Mathematical bounds onbioRxiv : the preprint server for biology · 2024
    Article
  4. Article
  5. On the heterozygosity of an admixed population.Journal of mathematical biology · 2020
    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

4 authors.

Rohan S MehtaDepartment of Biology, Stanford University, Stanford, California 94305 rohan.sushrut.mehta@emory.edu.ORCID 0000-0002-6244-9968
Alison F FederDepartment of Biology, Stanford University, Stanford, California 94305.ORCID 0000-0003-2915-089X
Simina M BocaInnovation Center for Biomedical Informatics, Georgetown University, Washington, DC 20007.ORCID 0000-0002-1400-3398
Noah A RosenbergDepartment of Biology, Stanford University, Stanford, California 94305.

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

The population-genetic statistic [Formula: see text] is used widely to describe allele frequency distributions in subdivided populations. The increasing availability of DNA sequence data has recently enabled computations of [Formula: see text] from sequence-based "haplotype loci." At the same time, theoretical work has revealed that [Formula: see text] has a strong dependence on the underlying genetic diversity of a locus from which it is computed, with high diversity constraining values of [Formula: see text] to be low. In the case of haplotype loci, for which two haplotypes that are distinct over a specified length along a chromosome are treated as distinct alleles, genetic diversity is influenced by haplotype length: longer haplotype loci have the potential for greater genetic diversity. Here, we study the dependence of [Formula: see text] on haplotype length. Using a model in which a haplotype locus is sequentially incremented by one biallelic locus at a time, we show that increasing the length of the haplotype locus can either increase or decrease the value of [Formula: see text], and usually decreases it. We compute [Formula: see text] on haplotype loci in human populations, finding a close correspondence between the observed values and our theoretical predictions. We conclude that effects of haplotype length are valuable to consider when interpreting [Formula: see text] calculated on haplotypic data.

Indexed as

Gene FrequencyHaplotypesPolymorphism, Single NucleotideGenome-Wide Association StudyHumansLinkage DisequilibriumModels, Genetichaplotypeslinkage disequilibriumpopulation structureSNPs

Identifiers

PMID31285255
PMCPMC6727796

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.