Evidence map›Paper›PMID 27110435›Full record

ArticleBrain and behavior2016

Possible relationship between common genetic variation and white matter development in a pilot study of preterm infants.

Michelle L Krishnan, Zi Wang, Matt Silver, James P Boardman, Gareth Ball, Serena J Counsell, Andrew J Walley, Giovanni Montana, Anthony David Edwards

Open access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
14.4field-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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Significance of Malic Enzyme 1 in Cancer: A Review.Current issues in molecular biology · 2025
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  15. Machine learning shows association between genetic variability inProceedings of the National Academy of Sciences of the United States of America · 2017
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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

9 authors at 5 institutions in 1 country.

Michelle L KrishnanCentre for the Developing Brain King's College London St Thomas' Hospital London SE1 7EH UK.
Zi WangDepartment of Biomedical Engineering King's College London St Thomas' Hospital London SE1 7EH UK.
Matt SilverDepartment of Population Health London School of Hygiene and Tropical Medicine London WC1E 7HT UK.
James P BoardmanMRC Centre for Reproductive Health University of Edinburgh Edinburgh EH16 4TJ UK.
Gareth BallCentre for the Developing Brain King's College London St Thomas' Hospital London SE1 7EH UK.
Serena J CounsellCentre for the Developing Brain King's College London St Thomas' Hospital London SE1 7EH UK.
Andrew J WalleySchool of Public Health Faculty of Medicine Imperial College London Norfolk Place London W2 1PG UK.
Giovanni MontanaDepartment of Biomedical Engineering King's College London St Thomas' Hospital London SE1 7EH UK.
Anthony David EdwardsCentre for the Developing Brain King's College London St Thomas' Hospital London SE1 7EH UK.
St Thomas' Hospital · GBImperial College London · GBKing's College London · GBUniversity of Edinburgh · GBUniversity of London · GB

Funding

Medical Research Council G1002033Medical Research Council MR/J014311/1Medical Research Council MR/K006355/1Medical Research Council MR/L001578/1Medical Research Council MR/N022556/1
6 · The paper itself

Abstract

backgroundThe consequences of preterm birth are a major public health concern with high rates of ensuing multisystem morbidity, and uncertain biological mechanisms. Common genetic variation may mediate vulnerability to the insult of prematurity and provide opportunities to predict and modify risk.

objectiveTo gain novel biological and therapeutic insights from the integrated analysis of magnetic resonance imaging and genetic data, informed by prior knowledge.

methodsWe apply our previously validated pathway-based statistical method and a novel network-based method to discover sources of common genetic variation associated with imaging features indicative of structural brain damage.

resultsLipid pathways were highly ranked by Pathways Sparse Reduced Rank Regression in a model examining the effect of prematurity, and PPAR (peroxisome proliferator-activated receptor) signaling was the highest ranked pathway once degree of prematurity was accounted for. Within the PPAR pathway, five genes were found by Graph Guided Group Lasso to be highly associated with the phenotype: aquaporin 7 (AQP7), malic enzyme 1, NADP(+)-dependent, cytosolic (ME1), perilipin 1 (PLIN1), solute carrier family 27 (fatty acid transporter), member 1 (SLC27A1), and acetyl-CoA acyltransferase 1 (ACAA1). Expression of four of these (ACAA1, AQP7, ME1, and SLC27A1) is controlled by a common transcription factor, early growth response 4 (EGR-4).

conclusionsThis suggests an important role for lipid pathways in influencing development of white matter in preterm infants, and in particular a significant role for interindividual genetic variation in PPAR signaling.

Indexed as

Brain InjuriesDiffusion Magnetic Resonance ImagingGenetic VariationHumansInfant, NewbornInfant, PrematureLipid MetabolismPhenotypePilot ProjectsPolymorphism, Single NucleotideWhite MatterBrain developmentgenomicslipidsmagnetic resonance imagingmetabolic pathwaysmultivariate analysisneonatalsingle‐nucleotide polymorphism

Identifiers

PMID27110435
PMCPMC4821839
OpenAlexW2328783496

What OpenQuestion holds

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LicenceCC BY
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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.