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Building input objects

Constructing the individual-level and summary-statistic S4 containers from manifests or by hand.

Building QtlDataset and MultiStudyQtlDataset objects
Building QtlSumStats and GwasSumStats objects

Quality Control

Allele alignment and LD-mismatch QC for GWAS and QTL summary statistics.

Quality Control for GWAS and QTL Summary Statistics

Fine-mapping

SuSiE-family fine-mapping for individual-level QTL data, QTL summary statistics, and GWAS summary statistics.

Fine-mapping with pecotmr

TWAS

Training TWAS weights from QTL data (individual-level and summary-statistics, single and multi-context) and computing per-gene TWAS Z-scores from GWAS summary statistics.

Learning TWAS weights with pecotmr
Causal inference with pecotmr: TWAS Z-scores and MR

Colocalization

Pairwise QTL/GWAS colocalization (coloc.bf_bf) and multi-trait colocalization with ColocBoost.

Pairwise colocalization with colocPipeline
Multi-trait colocalization with ColocBoost