NHGRI-EBI Catalog of Published Genome-Wide Association Studies (rs16867321)
  dbSNP: rs16867321
Position: chr2:181362379-181362379
Band: 2q31.3
Genomic Size: 1
View DNA for this feature (hg19/Human)
Reported region: 2q31.3
Publication: Wang K et al. A genome-wide association study on obesity and obesity-related traits. PLoS One. 2011-04-28
Disease or trait: Obesity
Initial sample size: 520 European ancestry cases, 540 European ancestry controls
Replication sample size: 1,196 European ancestry individuals
Reported gene(s): UBE2E3
Strongest SNP-Risk allele: rs16867321-?
dbSNP build 144 observed alleles for rs16867321: C/G/T
Note: when SNP alleles are complementary (A/T or C/G), take care to determine the strand/orientation of the given risk allele from the original publication (above).
Risk Allele Frequency: Not reported
p-Value: 2E-6 (obesity)
Odds Ratio or beta: Not reported
95% confidence interval: Not reported
Platform: Illumina [~ 550000]
Copy Number Variant (CNV)?: No
View table schema

Go to GWAS Catalog track controls

Data last updated: 2020-03-18


This track displays single nucleotide polymorphisms (SNPs) identified by published Genome-Wide Association Studies (GWAS), collected in the NHGRI-EBI GWAS Catalog published jointly by the National Human Genome Research Institute (NHGRI) and the European Bioinformatics Institute (EMBL-EBI). Some abbreviations are used above.

From http://www.ebi.ac.uk/gwas/docs/about:

The Catalog is a quality controlled, manually curated, literature-derived collection of all published genome-wide association studies assaying at least 100,000 SNPs and all SNP-trait associations with p-values < 1.0 x 10-5 (Hindorff et al., 2009). For more details about the Catalog curation process and data extraction procedures, please refer to the Methods page.


From http://www.ebi.ac.uk/gwas/docs/methods:

The GWAS Catalog data is extracted from the literature. Extracted information includes publication information, study cohort information such as cohort size, country of recruitment and subject ethnicity, and SNP-disease association information including SNP identifier (i.e. RSID), p-value, gene and risk allele. Each study is also assigned a trait that best represents the phenotype under investigation. When multiple traits are analysed in the same study either multiple entries are created, or individual SNPs are annotated with their specific traits. Traits are used both to query and visualise the data in the Catalog's web form and diagram-based query interfaces.

Data extraction and curation for the GWAS Catalog is an expert activity; each step is performed by scientists supported by a web-based tracking and data entry system which allows multiple curators to search, annotate, verify and publish the Catalog data. Papers that qualify for inclusion in the Catalog are identified through weekly PubMed searches. They then undergo two levels of curation. First all data, including association information for SNPs, traits and general information about the study, are extracted by one curator. A second curator then performs an additional round of curation to double-check the accuracy and consistency of all the information. Finally, an automated pipeline performs validation of the extracted data, see the Quality control and SNP mapping section below for more details. This information is then used for queries and in the production of the diagram.


Hindorff LA, Sethupathy P, Junkins HA, Ramos EM, Mehta JP, Collins FS, Manolio TA. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci U S A. 2009 Jun 9;106(23):9362-7. PMID: 19474294; PMC: PMC2687147