edit

Add new gwas metadata

post/edit/add

Request

  • Base URL: https://api.opengwas.io/api
  • URL: https://api.opengwas.io/api/edit/add
  • Auth: API key in header Authorization

Query parameters

idstring

Leave blank for the next auto-assigned sequential id (e.g. ieu-b-9999, where ieu-b is fixed and 9999 is the sequence number), or provide your own study identifier if suggested by us (in full, e.g. met-e-LDL_C ). See also https://mrcieu.github.io/GwasDataImport/articles/import_pipeline.html#opengwas-id

traitstring required

Avoid acronyms; don't include other information in the trait name (e.g. don't include array name, whether restricted to males or females or whether adjusted or unadjusted for covariates)

build'HG19/GRCh37' required

Select the genome build for the dataset. Must be HG19/GRCh37. If not, please convert the files before uploading it for QC

group_name'Ahola-Olli_Cytokines' | 'BCAC' | 'Bristol' | 'CHDI' | 'EmmaLA' | 'GSK' | 'GTEx' | 'Huntingtons' | 'King_GSK' | 'OCAC' | 'Onco_TRICL_lung_cancer' | 'Sclerostin_genetics_consortium' | 'SpiroMetaplusCHARGE' | 'Thompson_JIA' | 'biobank_japan' | 'biogen' | 'charge_igf' | 'developer' | 'eQTLGen' | 'headspace' | 'immunobase_users' | 'internal' | 'ncase_lt_10_ukb-b' | 'pQTL' | 'practical' | 'public' | 'sclerostin' | 'small_ukb-b' required

Who can access this dataset once uploaded? Contact us if you need to create/reuse a specific group to restrict access

category'Binary' | 'Categorical Ordered' | 'Continuous' | 'Disease' | 'Immune system' | 'Metabolites' | 'NA' | 'Risk factor' required

Is your phenotype a binary disease phenotype or a non-disease phenotype?

subcategory'Aging' | 'Amino acid' | 'Anthropometric' | 'Autoimmune / inflammatory' | 'Behavioural' | 'Biomarker' | 'Blood pressure' | 'Bone' | 'Cancer' | 'Carbohydrate' | 'Cardiovascular' | 'Cofactors and vitamins' | 'Cytokines' | 'Diabetes' | 'Education' | 'Energy' | 'Eye' | 'Fatty acid' | 'Glycemic' | 'Growth hormone' | 'Haemotological' | 'Hemodynamic' | 'Hormone' | 'Immune cell subset frequency' | 'Immune cell-surface protein expression levels' | 'Immune system' | 'Keto acid' | 'Kidney' | 'Lipid' | 'Lung disease' | 'Lung function' | 'Metabolite salt' | 'Metabolites ratio' | 'Metal' | 'NA' | 'Nucleotide' | 'Other' | 'Paediatric disease' | 'Peptide' | 'Personality' | 'Protein' | 'Psychiatric / neurological' | 'Reproductive aging' | 'Sleeping' | 'Unknown metabolite' | 'Xenobiotics' | 'gtex_eqtl' required

Select the option that best describes your phenotype

population'Aboriginal Australian' | 'African American or Afro-Caribbean' | 'African unspecified' | 'Asian unspecified' | 'Central Asian' | 'East Asian' | 'European' | 'Greater Middle Eastern (Middle Eastern, North African, or Persian)' | 'Hispanic or Latin American' | 'Mixed' | 'NA' | 'Native American' | 'Not reported' | 'Oceanian' | 'Other' | 'Other admixed ancestry' | 'South Asian' | 'South East Asian' | 'Sub-Saharan African' required

Describe the geographic origins of your population

sex'Females' | 'Males' | 'Males and Females' | 'NA' required

Indicate whether males or females are included in the study

authorstring required

Provide the last name and initials of the first author of your study (e.g. Mendel GJ)

nsnpinteger

How many SNPs are in your results file that you are uploading?

sample_sizeinteger

Provide the sample size of your study

yearinteger

In which year was this GWAS published?

ontologystring

Ontology mapping, semi-colon separated (e.g. MONDO:0003274;EFO:0000311)

unitstring

How do you interpret a 1-unit change in the phenotype? (e.g. log odds ratio, mmol/L, SD)

ncaseinteger

Provide number of cases in the dataset (if applicable)

ncontrolinteger

Provide number of controls in the dataset (if applicable)

study_design'Case-control study' | 'Case-only analysis' | 'Cohort/cross-sectional study' | 'Meta-analysis of case-control studies' | 'Meta-analysis of cohort/cross-sectional studies' | 'Meta-analysis of studies with varying designs' | 'Other' | 'Unknown'

Which best describes the design of the study?

covariatesstring

Describe the covariates included in your regression model

coverage'whole genome' | 'partial' | 'exome'

Level of genome coverage

qc_prior_to_uploadstring

Detail any QC or filtering steps taken prior to data upload

imputation_panel'1000 Genomes' | 'HRC' | 'HapMap2' | 'HapMap3' | 'TOPMed' | 'UK10K' | 'not imputed' | 'other'

Select the imputation panel used in the study

beta_transformationstring

Describe transformations applied to your phenotype (e.g. inverse rank normal, Z transformations)

doistring

DOI. Leave blank for unpublished studies (e.g. 10.1101/2020.08.10.244293v1)

consortiumstring

What is the name of the consortium (if applicable)? E.g. UK Biobank

pmidinteger

PubMed identifier (digits only). Leave blank for unpublished studies

sdnumber

What is the standard deviation of the sample mean of the phenotype?

mr0 | 1

Is the dataset suitable for MR studies? Put 1 for yes, or 0 for no (digits only)

priorityinteger

If multiple datasets with the same trait name exist, where does this dataset rank in terms of priority

notestring

Is there any other information you would like to provide us about your GWAS?

is_nc0 | 1

Is this dataset for non-commercial use only? Put 1 for yes, or 0 for no (digits only)

Response

Success

Changes

No recorded changes to this operation across all 1 revision of this API.