Evidence map›Paper›PMID 31951611›Full record

ArticlePLoS biology2020

Dating genomic variants and shared ancestry in population-scale sequencing data.

Patrick K Albers, Gil McVean

Open access · goldAbstract readValidation Study
In one paragraph

Article in PLoS biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 122 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
122citing papers in PubMed, 2 pooled it
24.8field-weighted citation impact, top 1% 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

122 citing papers in PubMed, 2 syntheses or guidelines pooled it, 227 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Genes · 2026
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  15. Polarising SNPs Without Outgroup.Molecular ecology resources · 2026
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62 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

2 authors at 1 institution in 1 country.

Patrick K AlbersBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-2770-3729
Gil McVeanBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5012-4162
University of Oxford · GB

Funding

Department of HealthWellcome TrustWellcome Trust 099685/Z/12/ZWellcome Trust 100956/Z/13/Z
6 · The paper itself

Abstract

The origin and fate of new mutations within species is the fundamental process underlying evolution. However, while much attention has been focused on characterizing the presence, frequency, and phenotypic impact of genetic variation, the evolutionary histories of most variants are largely unexplored. We have developed a nonparametric approach for estimating the date of origin of genetic variants in large-scale sequencing data sets. The accuracy and robustness of the approach is demonstrated through simulation. Using data from two publicly available human genomic diversity resources, we estimated the age of more than 45 million single-nucleotide polymorphisms (SNPs) in the human genome and release the Atlas of Variant Age as a public online database. We characterize the relationship between variant age and frequency in different geographical regions and demonstrate the value of age information in interpreting variants of functional and selective importance. Finally, we use allele age estimates to power a rapid approach for inferring the ancestry shared between individual genomes and to quantify genealogical relationships at different points in the past, as well as to describe and explore the evolutionary history of modern human populations.

Indexed as

Genetic SpeciationPolymorphism, Single NucleotideAge FactorsAllelesComputer SimulationDatasets as TopicEvolution, MolecularGene FrequencyGenetics, PopulationGenetic VariationGenome, HumanHigh-Throughput Nucleotide SequencingHumansPedigreePhylogenyRacial Groups

Identifiers

PMID31951611
PMCPMC6992231
OpenAlexW2999916586

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.