Evidence map›Paper›PMID 26615194›Full record

ArticleNucleic acids research2016

GWASdb v2: an update database for human genetic variants identified by genome-wide association studies.

Mulin Jun Li, Zipeng Liu, Panwen Wang, Maria P Wong, Matthew R Nelson, Jean-Pierre A Kocher, Meredith Yeager, Pak Chung Sham, Stephen J Chanock, Zhengyuan Xia and 1 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 1 pooled it
–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

124 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  19. AgingReG: a curated database of aging regulatory relationships in humans.Database : the journal of biological databases and curation · 2023
    Article
  20. Correlations for untargeted GC × GC-HRTOF-MS metabolomics of colorectal cancer.Metabolomics : Official journal of the Metabolomic Society · 2023
    Article

64 more citing papers are in PubMed but not listed here.

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

11 authors.

Mulin Jun LiCentre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Zipeng LiuCentre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China Department of Anaesthesiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Panwen WangCentre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Maria P WongDepartment of Pathology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Matthew R NelsonQuantitative Sciences, GlaxoSmithKline, Research Triangle Park, NC, USA.
Jean-Pierre A KocherDivision of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN, USA.
Meredith YeagerDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA.
Pak Chung ShamCentre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China State Key Laboratory of Brain and Cognitive Sciences and Department of Psychiatry, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Stephen J ChanockDivision of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA.
Zhengyuan XiaDepartment of Anaesthesiology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Junwen WangCentre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China School of Biomedical Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China junwen@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWASs), now as a routine approach to study single-nucleotide polymorphism (SNP)-trait association, have uncovered over ten thousand significant trait/disease associated SNPs (TASs). Here, we updated GWASdb (GWASdb v2, http://jjwanglab.org/gwasdb) which provides comprehensive data curation and knowledge integration for GWAS TASs. These updates include: (i) Up to August 2015, we collected 2479 unique publications from PubMed and other resources; (ii) We further curated moderate SNP-trait associations (P-value < 1.0 × 10(-3)) from each original publication, and generated a total of 252,530 unique TASs in all GWASdb v2 collected studies; (iii) We manually mapped 1610 GWAS traits to 501 Human Phenotype Ontology (HPO) terms, 435 Disease Ontology (DO) terms and 228 Disease Ontology Lite (DOLite) terms. For each ontology term, we also predicted the putative causal genes; (iv) We curated the detailed sub-populations and related sample size for each study; (v) Importantly, we performed extensive function annotation for each TAS by incorporating gene-based information, ENCODE ChIP-seq assays, eQTL, population haplotype, functional prediction across multiple biological domains, evolutionary signals and disease-related annotation; (vi) Additionally, we compiled a SNP-drug response association dataset for 650 pharmacogenetic studies involving 257 drugs in this update; (vii) Last, we improved the user interface of website.

Indexed as

Databases, GeneticGenome-Wide Association StudyPolymorphism, Single NucleotideBiological OntologiesDiseaseGenesHumansMolecular Sequence Annotation

Identifiers

PMID26615194
PMCPMC4702921

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Registered trials

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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.