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University of Wisconsin–Madison

Genetic correlation estimation and multi-trait analysis

GNOVA

Powerful and annotation-stratified genetic covariance estimation using GWAS summary statistics

SUPERGNOVA

A statistically principled and robust method for local genetic correlation analysis using GWAS summary statistics

LOGODetect

A scan statistic approach to identify precise genome regions with local genetic correlation for multiple traits

PARSEC

A variance component framework to partition heritability and genetic covariance by direct and indirect effect paths

EncoreDNM

Quantifying correlated enrichment of de novo mutations in multiple disorders

GSUB

A close-form approach to performing GWAS-by-subtraction

Gene-environment interaction and social genomics

PIGEON

A variance component analytical framework for quantifying and estimating polygenic gene-environment interaction for human complex traits

QUAIL

A quantile regression framework to estimate genetic effects on phenotypic variability

PENGUIN

Controlling for polygenic genetic confounding in epidemiologic association analysis

DONUTS

A method to estimate direct and indirect genetic effects from multi-generational GWAS summary statistics

Genetic risk prediction

X-Wing

Estimating cross-ancestry local genetic correlation and improving risk prediction accuracy with GWAS summary statistics

PUMAS

A tool for polygenic risk score model fine-tuning and ensemble learning using GWAS summary statistics

AnnoPred

An empirical Bayesian framework that uses integrative functional annotations to improve risk prediction accuracy

Machine learning-assisted statistical inference

POP-TOOLS

A comprehensive toolbox for genetic association analysis on outcomes predicted by machine learning

PSPA

Valid and powerful post-prediction inference for parameters defined through estimation equations

PSPS

A simple and task-agnotsic tool for valid and efficient machine learning-assited infernece

Genome Annotation

GenoCanyon

An unsupervised learning framework to predict functional DNA elements in the human genome.

GenoSkyline

Predict tissue-specific functional regions in the human genome through integration of data from Roadmap Epigenomics Project.

GenoSkyline-Plus

A substantial upgrade of GenoSkyline, available for all 127 tissue and cell types from Roadmap Epigenomics Project.

Other methods for GWAS and sequencing analysis

UTMOST

Cross-tissue gene expression imputation and transcriptome-wide association analysis using GWAS summary statistics

TITANS

A computational tool for conducting transcriptome-wide association study in proband-parent trios

BADGERS

Polygenic score-based biobank-wide association scans using GWAS summary statistics

ORIGAMI

A computational framework to simulate offspring genotype data from parental genomes

GenoWAP

Functional SNP reprioritization through integrative analysis of GWAS summary statistics and functional annotations