View source: R/indexVariantsAndStudiesForTagVariant.R
indexVariantsAndStudiesForTagVariant | R Documentation |
For an input tag variant ID, this function returns a data frame(tibble format) with population-level summary statistics data across various GWAS studies.
indexVariantsAndStudiesForTagVariant(variant_id, pageindex = 0, pagesize = 20)
variant_id |
Character: generated ID for variants by Open Targets Genetics (e.g. 1_154119580_C_A) or rsId (rs2494663). |
pageindex |
Integer: Index of the current page, pagination index >= 0. |
pagesize |
Integer: Number of records in a page, pagination size > 0. |
Returns a data frame containing the variant associated with the input tag variant. The table consists of the following columns:
index_variant
: Data frame. Data frame of index variants with the following columns:
id
: Character vector. Variant ID.
rsId
: Character vector. rsID of the variant.
study
: Data frame. Data frame of studies with the following columns:
studyId
: Character vector. Study identifier.
traitReported
: Character vector. Reported trait associated with the colocalisation.
traitCategory
: Character vector. Trait category.
pval
: Numeric vector. P-value.
pval_mantissa
: Numeric vector. Mantissa of the p-value.
pval_exponent
: Integer vector. Exponent of the p-value.
n_total
: Integer vector. Total number of samples.
n_cases
: Integer vector. Number of cases.
overall_r2
: Numeric vector. Overall R-squared value.
afr1000g_prop
: Numeric vector. Proportion in African population in 1000 Genomes.
amr1000g_prop
: Numeric vector. Proportion in Admixed American population in 1000 Genomes.
eas1000g_prop
: Numeric vector. Proportion in East Asian population in 1000 Genomes.
eur1000g_prop
: Numeric vector. Proportion in European population in 1000 Genomes.
sas1000g_prop
: Numeric vector. Proportion in South Asian population in 1000 Genomes.
log10abf
: Numeric vector. Log10 ABF (Approximate Bayes Factor).
posterior_probability
: Numeric vector. Posterior probability.
odds_ratio
: Numeric vector. Odds ratio.
odds_ratio_ci_lower
: Numeric vector. Lower confidence interval of the odds ratio.
odds_ratio_ci_upper
: Numeric vector. Upper confidence interval of the odds ratio.
beta
: Numeric vector. Beta value.
beta_ci_lower
: Numeric vector. Lower confidence interval of the beta value.
beta_ci_upper
: Numeric vector. Upper confidence interval of the beta value.
direction
: Character vector. Direction of the effect.
## Not run:
result <- indexVariantsAndStudiesForTagVariant(variant_id = "1_109274968_G_T")
result <- indexVariantsAndStudiesForTagVariant(variant_id = "rs12740374",
pageindex = 1, pagesize = 50)
## End(Not run)
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