Integrate TWAS and Colocalization Analysis for Gene Set Enrichment Analysis

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Documentation for package ‘INTACT’ version 1.4.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

.bf_em_coloc_pi0	Multi-INTACT EM algorithm fixed-point function.
.bf_loglik_coloc	Multi-INTACT EM algorithm log-likelihood function.
.bf_weighted_sum_coloc	Helper function for EM algorithm to compute weighted sum of Bayes factors.
.em_est	Compute gene set enrichment estimates.
.enrich_bootstrap_se	Compute bootstrap standard errors for alpha MLEs.
.enrich_res	Compute gene set enrichment estimates with standard errors.
.logistic_em	A fixed-point mapping for the expectation-maximization algorithm. Used as an argument for fixptfn in the squarem function.
.logistic_em_nopseudo	Similar to logistic_em(), but does not use pseudocounts to stablize the algorithm.
.logistic_loglik	A log likelihood function for the expectation-maximization algorithm. Used as an argument for objfn in the squarem function.
.multi_em_posteriors	Compute gene product relevance probabilities using prior parameter estimates and Bayes factors.
.multi_prior_estimation	Compute Multi-INTACT prior parameter estimates and gene product relevance probabilities.
.pi1_fun	Estimate pi1 from TWAS scan z-scores.
.wakefield_bf_z_ln	A function to compute log Bayes factors from z-statistics using the Wakefield formula
chisq_sumstat	Compute a gene-level multivariate Wald chi-square statistic using summary-level genetic association and LD data.
expit	Transform a gene colocalization probability (GLCP) to a prior to be used in the evidence integration procedure. There are four prior function options, including expit, linear, step, and expit-linear hybrid.
exprwt_sumstats	TWAS weights for a simulated gene.
fdr_rst	Bayesian FDR control for INTACT output
gene_set_list	Simulated gene set list.
hybrid	Transform a gene colocalization probability (GLCP) to a prior to be used in the evidence integration procedure. There are four prior function options, including expit, linear, step, and expit-linear hybrid.
intact	Compute the posterior probability that a gene may be causal, given a gene's TWAS scan z-score (or Bayes factor) and colocalization probability.
intactGSE	Perform gene set enrichment estimation and inference, given TWAS scan z-scores and colocalization probabilities.
ld_sumstats	LD correlation matrix from a simulated data set.
linear	Transform a gene colocalization probability (GLCP) to a prior to be used in the evidence integration procedure. There are four prior function options, including expit, linear, step, and expit-linear hybrid.
multi_intact	Compute Multi-INTACT prior parameter estimates and gene product relevance probabilities.
multi_simdat	Simulated TWAS, PWAS, and pairwise colocalization summary data.
protwt_sumstats	PWAS weights for a simulated gene.
simdat	Simulated TWAS and colocalization summary data.
step	Transform a gene colocalization probability (GLCP) to a prior to be used in the evidence integration procedure. There are four prior function options, including expit, linear, step, and expit-linear hybrid.
z_sumstats	TWAS and PWAS z-score for a simulated gene.