Evidence map›Paper›PMID 25937569›Full record

ArticleJournal of molecular biology2015

Genetic Basis of Common Human Disease: Insight into the Role of Missense SNPs from Genome-Wide Association Studies.

Lipika R Pal, John Moult

Abstract read
In one paragraph

Article in Journal of molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. How Genomic and Structural Context Could Shape JAK-STAT Variant Pathogenicity.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Computational Insights into the Deleterious Impacts of Missense Variants onInternational journal of molecular sciences · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

2 authors.

Lipika R PalInstitute for Bioscience and Biotechnology Research, University of Maryland, 9600 Gudelsky Drive, Rockville, MD 20850, USA.
John MoultInstitute for Bioscience and Biotechnology Research, University of Maryland, 9600 Gudelsky Drive, Rockville, MD 20850, USA; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742, USA. Electronic address: jmoult@umd.edu.

Funding

Identification and in vitro experimental investigation of missense SNPs implicateR01GM102810 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HERZBERG, OSNAT, MOULT, JOHN · 2012 to 2015
$1.1M
Mechanisms underlying complex trait human diseaseR01GM104436 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI MOULT, JOHN · 2013 to 2016
$1.1M
NIGMS NIH HHS R01 GM102810NIGMS NIH HHS R01GM102810NIGMS NIH HHS R01 GM104436NIGMS NIH HHS R01GM104436
6 · The paper itself

Abstract

Recent genome-wide association studies (GWAS) have led to the reliable identification of single nucleotide polymorphisms (SNPs) at a number of loci associated with increased risk of specific common human diseases. Each such locus implicates multiple possible candidate SNPs for involvement in disease mechanism. A variety of mechanisms may link the presence of an SNP to altered in vivo gene product function and hence contribute to disease risk. Here, we report an analysis of the role of one of these mechanisms, missense SNPs (msSNPs) in proteins in seven complex trait diseases. Linkage disequilibrium information was used to identify possible candidate msSNPs associated with increased disease risk at each of 356 loci for the seven diseases. Two computational methods were used to estimate which of these SNPs has a significant impact on in vivo protein function. 69% of the loci have at least one candidate msSNP and 33% have at least one predicted high-impact msSNP. In some cases, these SNPs are in well-established disease-related proteins, such as MST1 (macrophage stimulating 1) for Crohn's disease. In others, they are in proteins identified by GWAS as likely candidates for disease relevance, but previously without known mechanism, such as ADAMTS13 (ADAM metallopeptidase with thrombospondin type 1 motif, 13) for coronary artery disease. In still other cases, the missense SNPs are in proteins not previously suggested as disease candidates, such as TUBB1 (tubulin, beta 1, class VI) for hypertension. Together, these data support a substantial role for this class of SNPs in susceptibility to common human disease.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideADAM ProteinsADAMTS13 ProteinAllelesArthritis, RheumatoidCoronary Artery DiseaseCrohn DiseaseDiabetes Mellitus, Type 1Genome-Wide Association StudyHepatocyte Growth FactorHumansLinkage DisequilibriumProtein ConformationProteinsProto-Oncogene ProteinsADAM ProteinsADAMTS13 ProteinADAMTS13 protein, humanHepatocyte Growth Factormacrophage stimulating proteinProteinsProto-Oncogene Proteinscomplex trait diseaseGWASnonsynonymousprotein structure

Identifiers

PMID25937569
PMCPMC4893807

What OpenQuestion holds

Textmetadata
LicenceTDM
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.