Evidence map›Paper›PMID 14597721›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2003

Functional constraints and frequency of deleterious mutations in noncoding DNA of rodents.

Peter D Keightley, Daniel J Gaffney

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
7.4field-weighted citation impact, top 2% 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

54 citing papers in PubMed, 112 citations in OpenAlex.

  1. NoncodingiScience · 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.

Peter D KeightleyAshworth Laboratories, School of Biological Sciences, University of Edinburgh, West Mains Road, Edinburgh EH9 3JT, United Kingdom. p.kieghtley@ed.ac.uk
Daniel J Gaffney
University of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection against deleterious mutations imposes a mutation load on populations because individuals die or fail to reproduce. In vertebrates, estimates of genomic rates of deleterious mutations in protein-coding genes imply the existence of a substantial mutation load, but many functionally important regions of the genome are thought to reside in noncoding DNA, and the contribution of noncoding DNA to the mutation load has been unresolved. Here, we infer the frequency of deleterious mutations in noncoding DNA of rodents by comparing rates of substitution at noncoding nucleotides with rates of substitution at the fastest evolving intronic sites of adjacent genes sampled from the whole genome sequences of mouse and rat. We show that the major elements of selectively constrained noncoding DNA are within 2,500 bp upstream and downstream of coding sequences and in first introns. Our estimate of the genomic deleterious point mutation rate for noncoding DNA (0.22 per diploid per generation) is similar to that for coding DNA. Mammalian populations therefore experience a substantial genetic load associated with selection against deleterious mutations in noncoding DNA. Deleterious mutations in noncoding DNA have predominantly quantitative effects and could be an important source of the burden of complex genetic disease variation in human populations.

Indexed as

IntronsMutationAnimalsCpG IslandsDiploidyDNAEvolution, MolecularGenomeMiceMicrosatellite RepeatsModels, StatisticalMonte Carlo MethodPoint MutationRatsDNA

Identifiers

PMID14597721
PMCPMC263826
OpenAlexW2149839991

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.