Evidence map›Paper›PMID 34806592›Full record

ArticleeLife2021

Mutation saturation for fitness effects at human CpG sites.

Ipsita Agarwal, Molly Przeworski

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 36 citations in OpenAlex.

  1. Dynamics of mutators of arbitrary dominance in humans.bioRxiv : the preprint server for biology · 2026
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  9. The distribution of highly deleterious variants across human ancestry groups.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

2 authors at 1 institution in 1 country.

Ipsita AgarwalDepartment of Biological Sciences, Columbia University, New York, United States.ORCID 0000-0001-8537-0008
Molly PrzeworskiDepartment of Biological Sciences, Columbia University, New York, United States.ORCID 0000-0002-5369-9009
Columbia University · US

Funding

Mutation rate variation in primatesR01GM122975 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRZEWORSKI, MOLLY F · 2017 to 2020
$1.6M
Natural selection in recent human evolutionR01GM121372 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRZEWORSKI, MOLLY F · 2017 to 2020
$1.6M
NIGMS NIH HHS R01 GM121372NIGMS NIH HHS R01 GM122975
6 · The paper itself

Abstract

Whole exome sequences have now been collected for millions of humans, with the related goals of identifying pathogenic mutations in patients and establishing reference repositories of data from unaffected individuals. As a result, we are approaching an important limit, in which datasets are large enough that, in the absence of natural selection, every highly mutable site will have experienced at least one mutation in the genealogical history of the sample. Here, we focus on CpG sites that are methylated in the germline and experience mutations to T at an elevated rate of ~10

Indexed as

Genetic FitnessSilent MutationCpG IslandsHumanscpg mutationsevolutionary biologyfitness effectsgeneticsgenomicshumanhuman geneticsinterpreting protein coding variantsmutation saturation

Identifiers

PMID34806592
PMCPMC8683084
OpenAlexW3217016899

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.