Evidence map›Paper›PMID 25372662›Full record

ArticlePloS one2014

Identification of novel single nucleotide polymorphisms associated with acute respiratory distress syndrome by exome-seq.

Katherine Shortt, Suman Chaudhary, Dmitry Grigoryev, Daniel P Heruth, Lakshmi Venkitachalam, Li Q Zhang, Shui Q Ye

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Genetic associations in sepsis and ARDS.Frontiers in pharmacology · 2026
    Review
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  7. Article
  8. Review
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  10. A dissection of SARS‑CoV2 with clinical implications (Review).International journal of molecular medicine · 2020
    Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Fifty Years of Research in ARDS. Genomic Contributions and Opportunities.American journal of respiratory and critical care medicine · 2017
    Review
  17. Review
  18. Article
  19. Complex genetics of pulmonary diseases: lessons from genome-wide association studies and next-generation sequencing.Translational research : the journal of laboratory and clinical medicine · 2016
    Review
  20. Article
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.

Katherine ShorttDepartment of Pediatrics, Division of Experimental and Translational Genetics, Children's Mercy Hospital, University of Missouri - Kansas City School of Medicine, Kansas City, Missouri, United States of America; Department of Biomedical and Health Informatics, University of Missouri - Kansas City School of Medicine, Kansas City, Missouri, United States of America.
Suman ChaudharyDepartment of Pediatrics, Division of Experimental and Translational Genetics, Children's Mercy Hospital, University of Missouri - Kansas City School of Medicine, Kansas City, Missouri, United States of America.
Dmitry GrigoryevDepartment of Pediatrics, Division of Experimental and Translational Genetics, Children's Mercy Hospital, University of Missouri - Kansas City School of Medicine, Kansas City, Missouri, United States of America; Department of Biomedical and Health Informatics, University of Missouri - Kansas City School of Medicine, Kansas City, Missouri, United States of America.
Daniel P HeruthDepartment of Pediatrics, Division of Experimental and Translational Genetics, Children's Mercy Hospital, University of Missouri - Kansas City School of Medicine, Kansas City, Missouri, United States of America.
Lakshmi VenkitachalamDepartment of Biomedical and Health Informatics, University of Missouri - Kansas City School of Medicine, Kansas City, Missouri, United States of America.
Li Q ZhangDepartment of Pediatrics, Division of Experimental and Translational Genetics, Children's Mercy Hospital, University of Missouri - Kansas City School of Medicine, Kansas City, Missouri, United States of America.
Shui Q YeDepartment of Pediatrics, Division of Experimental and Translational Genetics, Children's Mercy Hospital, University of Missouri - Kansas City School of Medicine, Kansas City, Missouri, United States of America; Department of Biomedical and Health Informatics, University of Missouri - Kansas City School of Medicine, Kansas City, Missouri, United States of America.

Funding

Novel Role of Pre-B-Cell Colony Enhancing Factor in ALIR01HL080042 · NHLBI · UNIVERSITY OF MISSOURI-COLUMBIA · PI YE, SHUI QING · 2006 to 2010
$1.8M
NHLBI NIH HHS HL080042NHLBI NIH HHS HL080042-S1NHLBI NIH HHS R01 HL080042
6 · The paper itself

Abstract

Acute respiratory distress syndrome (ARDS) is a lung condition characterized by impaired gas exchange with systemic release of inflammatory mediators, causing pulmonary inflammation, vascular leak and hypoxemia. Existing biomarkers have limited effectiveness as diagnostic and therapeutic targets. To identify disease-associating variants in ARDS patients, whole-exome sequencing was performed on 96 ARDS patients, detecting 1,382,399 SNPs. By comparing these exome data to those of the 1000 Genomes Project, we identified a number of single nucleotide polymorphisms (SNP) which are potentially associated with ARDS. 50,190SNPs were found in all case subgroups and controls, of which89 SNPs were associated with susceptibility. We validated three SNPs (rs78142040, rs9605146 and rs3848719) in additional ARDS patients to substantiate their associations with susceptibility, severity and outcome of ARDS. rs78142040 (C>T) occurs within a histone mark (intron 6) of the Arylsulfatase D gene. rs9605146 (G>A) causes a deleterious coding change (proline to leucine) in the XK, Kell blood group complex subunit-related family, member 3 gene. rs3848719 (G>A) is a synonymous SNP in the Zinc-Finger/Leucine-Zipper Co-Transducer NIF1 gene. rs78142040, rs9605146, and rs3848719 are associated significantly with susceptibility to ARDS. rs3848719 is associated with APACHE II score quartile. rs78142040 is associated with 60-day mortality in the overall ARDS patient population. Exome-seq is a powerful tool to identify potential new biomarkers for ARDS. We selectively validated three SNPs which have not been previously associated with ARDS and represent potential new genetic biomarkers for ARDS. Additional validation in larger patient populations and further exploration of underlying molecular mechanisms are warranted.

Indexed as

ExomeGenetic Association StudiesGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingPolymorphism, Single NucleotideAdolescentAllelesCase-Control StudiesChildChild, PreschoolComorbidityFemaleGenomicsHumansMaleRespiratory Distress Syndrome

Identifiers

PMID25372662
PMCPMC4221189

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.