Evidence map›Paper›PMID 28525990›Full record

ArticleBMC genomics2017

Transversions have larger regulatory effects than transitions.

Cong Guo, Ian C McDowell, Michael Nodzenski, Denise M Scholtens, Andrew S Allen, William L Lowe, Timothy E Reddy

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
7.3field-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

56 citing papers in PubMed, 122 citations in OpenAlex.

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  17. Morphological and molecular phylogenetic characterization ofInternational journal for parasitology. Parasites and wildlife · 2023
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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

7 authors at 2 institutions in 1 country.

Cong GuoCenter for Genomic and Computational Biology, Duke University Medical School, Durham, NC, 27710, USA.
Ian C McDowellCenter for Genomic and Computational Biology, Duke University Medical School, Durham, NC, 27710, USA.
Michael NodzenskiDepartment of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Denise M ScholtensDepartment of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Andrew S AllenCenter for Statistical Genetics and Genomics, Duke University Durham, North Carolina, 27710, USA.
William L LoweDivision of Endocrinology, Metabolism and Molecular Medicine, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Timothy E ReddyCenter for Genomic and Computational Biology, Duke University Medical School, Durham, NC, 27710, USA. tim.reddy@duke.edu.
Duke University · USNorthwestern University · US

Funding

Computational Biology and Bioinformatics Training ProgramT32GM071340 · NIGMS · DUKE UNIVERSITY · PI MAGWENE, PAUL MITAARI · 2005 to 2020
$3.3M
Genetics and Genomics of Maternal Glycemia During PregnancyR01DK097534 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LOWE, WILLIAM L · 2013 to 2017
$2.1M
Genetics and Evolution of Fetal Human Fat Accretion During DevelopmentR01DK099820 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LOWE, WILLIAM L · 2013 to 2017
$2.0M
Identifying Regulatory Variants Associated with Maternal HyperglycemiaF31HD085666 · NICHD · DUKE UNIVERSITY · PI GUO, CONG · 2015 to 2015
$34k
NICHD NIH HHS F31 HD085666NIDDK NIH HHS R01 DK097534NIDDK NIH HHS R01 DK099820NIGMS NIH HHS T32 GM071340
6 · The paper itself

Abstract

backgroundTransversions (Tv's) are more likely to alter the amino acid sequence of proteins than transitions (Ts's), and local deviations in the Ts:Tv ratio are indicative of evolutionary selection on genes. Whether the two different types of mutations have different effects in non-protein-coding sequences remains unknown. Genetic variants primarily impact gene expression by disrupting the binding of transcription factors (TFs) and other DNA-binding proteins. Because Tv's cause larger changes in the shape of a DNA backbone, we hypothesized that Tv's would have larger impacts on TF binding and gene expression.

resultsHere, we provide multiple lines of evidence demonstrating that Tv's have larger impacts on regulatory DNA including analyses of TF binding motifs and allele-specific TF binding. In these analyses, we observed a depletion of Tv's within TF binding motifs and TF binding sites. Using massively parallel population-scale reporter assays, we also provided empirical evidence that Tv's have larger effects than Ts's on the activity of human gene regulatory elements.

conclusionsTv's are more likely to disrupt TF binding, resulting in larger changes in gene expression. Although the observed differences are small, these findings represent a novel, fundamental property of regulatory variation. Understanding the features of functional non-coding variation could be valuable for revealing the genetic underpinnings of complex traits and diseases in future studies.

Indexed as

Computational BiologyDNAProtein BindingTranscription FactorsDNATranscription FactorsMassively parallel reporter assayRegulatory variationSNPsTransitionsTransversions

Identifiers

PMID28525990
PMCPMC5438547
OpenAlexW2616463610

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.