Evidence map›Paper›PMID 26715671›Full record

ArticleGenetics2016

Sporadic, Global Linkage Disequilibrium Between Unlinked Segregating Sites.

Daniel A Skelly, Paul M Magwene, Eric A Stone

Abstract read
In one paragraph

Article in Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Select and resequence reveals relative fitness of bacteria in symbiotic and free-living environments.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
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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

3 authors.

Daniel A SkellyDepartment of Biology, Duke University, Durham, North Carolina 27708.
Paul M MagweneDepartment of Biology, Duke University, Durham, North Carolina 27708.
Eric A StoneDepartment of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695 eric_stone@ncsu.edu.

Funding

High throughput S. cerevisiae HAM, GWA & QT/QTL architectureR01GM098287 · NIGMS · DUKE UNIVERSITY · PI DIETRICH, FRED S, MAGWENE, PAUL MITAARI · 2011 to 2014
$2.1M
Functional Variation in a Conserved Pathway Influencing Cellular DifferentiationF32GM110997 · NIGMS · DUKE UNIVERSITY · PI SKELLY, DANIEL A · 2014 to 2016
$135k
NIGMS NIH HHS F32 GM110997NIGMS NIH HHS R01 GM098287
6 · The paper itself

Abstract

Demographic, genetic, or stochastic factors can lead to perfect linkage disequilibrium (LD) between alleles at two loci without respect to the extent of their physical distance, a phenomenon that Lawrence et al. (2005a) refer to as "genetic indistinguishability." This phenomenon can complicate genotype-phenotype association testing by hindering the ability to localize causal alleles, but has not been thoroughly explored from a theoretical perspective or using large, dense whole-genome polymorphism data sets. We derive a simple theoretical model of the prevalence of genetic indistinguishability between unlinked loci and verify its accuracy via simulation. We show that sample size and minor allele frequency are the major determinants of the prevalence of perfect LD between unlinked loci but that demographic factors, such as deviations from random mating, can produce significant effects as well. Finally, we quantify this phenomenon in three model organisms and find thousands of pairs of moderate-frequency ([Formula: see text]) genetically indistinguishable variants in relatively large data sets. These results clarify a previously underexplored population genetic phenomenon with important implications for association studies and define conditions under which it is likely to manifest.

Indexed as

Genetic LinkageGenetic LociLinkage DisequilibriumAlgorithmsAllelesAnimalsArabidopsisComputer SimulationDrosophilaGenetics, PopulationGenetic VariationGenome-Wide Association StudyModels, GeneticModels, StatisticalPolymorphism, Single Nucleotidegenetically indistinguishablegenome-wide association studylinkage disequilibrium

Identifiers

PMID26715671
PMCPMC4788226

What OpenQuestion holds

Textmetadata
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.