Evidence map›Paper›PMID 32357960›Full record

ArticleGenetics2020

Efficiently Summarizing Relationships in Large Samples: A General Duality Between Statistics of Genealogies and Genomes.

Peter Ralph, Kevin Thornton, Jerome Kelleher

Abstract read
In one paragraph

Article in Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing 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

77 citing papers in PubMed.

  1. Article
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  6. Ancient DNA from shells reveals delayed genomic erosion and rapid immune adaptation in the critically endangered black abalone.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  15. A general framework for branch length estimation in Ancestral Recombination Graphs.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. A Pandemic-Scale Ancestral Recombination Graph for SARS-CoV-2.bioRxiv : the preprint server for biology · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

17 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.

Peter RalphInstitute of Evolution and Ecology, Departments of Mathematics and Biology, University of Oregon, Eugene, Oregon 97405 plr@uoregon.edu.ORCID 0000-0002-9459-6866
Kevin ThorntonDepartment of Ecology and Evolutionary Biology, University of California, Irvine, California 92697.ORCID 0000-0003-0743-4445
Jerome KelleherBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, United Kingdom OX3 7LF.ORCID 0000-0002-7894-5253

Funding

Population genomics of polygenic adaptationR01GM115564 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI THORNTON, KEVIN R. · 2015 to 2018
$1.2M
NIGMS NIH HHS R01 GM115564Wellcome TrustWellcome Trust 100956/Z/13/Z
6 · The paper itself

Abstract

As a genetic mutation is passed down across generations, it distinguishes those genomes that have inherited it from those that have not, providing a glimpse of the genealogical tree relating the genomes to each other at that site. Statistical summaries of genetic variation therefore also describe the underlying genealogies. We use this correspondence to define a general framework that efficiently computes single-site population genetic statistics using the succinct tree sequence encoding of genealogies and genome sequence. The general approach accumulates sample weights within the genealogical tree at each position on the genome, which are then combined using a summary function; different statistics result from different choices of weight and function. Results can be reported in three ways: by

Indexed as

Genome, HumanModels, GeneticPedigreePolymorphism, GeneticEvolution, MolecularGenetic LociGenetics, PopulationHumansgenealogygenotype statisticstree sequence

Identifiers

PMID32357960
PMCPMC7337078

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.