Evidence map›Paper›PMID 31518343›Full record

ArticlePLoS genetics2019

An approximate full-likelihood method for inferring selection and allele frequency trajectories from DNA sequence data.

Aaron J Stern, Peter R Wilton, Rasmus Nielsen

Abstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers.

0numbers the graph read from it
0cells of the map it votes in
115citing 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

115 citing papers in PubMed.

  1. Ancient DNA and Human Physiology.Physiology (Bethesda, Md.) · 2026
    Review
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  11. Graph transformer for ancient ancestry inference.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Article
  14. Polarising SNPs Without Outgroup.Molecular ecology resources · 2026
    Article
  15. Sudan's complex genetic admixture history drives adaptation to malaria in Sudanese Copts.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  16. Article
  17. Review
  18. Selection scans and downstream analysis with selscan.Human population genetics and genomics · 2026
    Article
  19. The origin of the double-muscle mutation in theFrontiers in veterinary science · 2026
    Article
  20. Article

55 more citing papers are in PubMed but not listed here.

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.

Aaron J SternGraduate Group in Computation Biology, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0001-7368-5520
Peter R WiltonDepartment of Integrative Biology, University of California, Berkeley, Berkeley, California, United States of America.ORCID 0000-0003-1591-588X
Rasmus NielsenDepartment of Integrative Biology, University of California, Berkeley, Berkeley, California, United States of America.

Funding

The Dynamics of Mitochondrial MutationsR01GM116044 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI MAKOVA, KATERYNA, NIELSEN, RASMUS · 2015 to 2018
$2.4M
NIGMS NIH HHS R01 GM116044
6 · The paper itself

Abstract

Most current methods for detecting natural selection from DNA sequence data are limited in that they are either based on summary statistics or a composite likelihood, and as a consequence, do not make full use of the information available in DNA sequence data. We here present a new importance sampling approach for approximating the full likelihood function for the selection coefficient. Our method CLUES treats the ancestral recombination graph (ARG) as a latent variable that is integrated out using previously published Markov Chain Monte Carlo (MCMC) methods. The method can be used for detecting selection, estimating selection coefficients, testing models of changes in the strength of selection, estimating the time of the start of a selective sweep, and for inferring the allele frequency trajectory of a selected or neutral allele. We perform extensive simulations to evaluate the method and show that it uniformly improves power to detect selection compared to current popular methods such as nSL and SDS, and can provide reliable inferences of allele frequency trajectories under many conditions. We also explore the potential of our method to detect extremely recent changes in the strength of selection. We use the method to infer the past allele frequency trajectory for a lactase persistence SNP (MCM6) in Europeans. We also infer the trajectory of a SNP (EDAR) in Han Chinese, finding evidence that this allele's age is much older than previously claimed. We also study a set of 11 pigmentation-associated variants. Several genes show evidence of strong selection particularly within the last 5,000 years, including ASIP, KITLG, and TYR. However, selection on OCA2/HERC2 seems to be much older and, in contrast to previous claims, we find no evidence of selection on TYRP1.

Indexed as

AllelesAsian PeopleBase SequenceDNAEdar ReceptorGene FrequencyHaplotypesHumansLikelihood FunctionsMarkov ChainsMinichromosome Maintenance Complex Component 6Models, GeneticMonte Carlo MethodPigmentationSequence Analysis, DNAWhite PeopleDNAEDAR protein, humanEdar ReceptorMCM6 protein, humanMinichromosome Maintenance Complex Component 6

Identifiers

PMID31518343
PMCPMC6760815

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LicenceCC BY
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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.