Modeling and Analysis of (Statistical) Genetics data in python
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Updated
Nov 13, 2026 - Python
Modeling and Analysis of (Statistical) Genetics data in python
Nextflow pipeline to perform genetic correlations with GWAS summary statistics (LDSC and LAVA)
Simple-genetic-correlation is a simple tool designed for calculating and visualizing genomic trait correlations using summary statistics from GWAS (Genome-Wide Association Studies).
Benchmarking 86 heritability estimation configurations and downstream polygenic risk score performance across UK Biobank phenotypes. Associated paper: arXiv:2604.02394
Assumptions about frequency-dependent architectures of complex traits bias measures of functional enrichment
Sex-stratified LDSC pipeline estimating SNP heritability and genetic correlations for testosterone and metabolic traits.
This repository includes scripts used in "Contribution of CRISPRable DNA on human complex traits"
Genetic correlation analysis using LDSC command-line + visualize with R
Testing whether autism genetics points at myelin, on public GWAS, single-cell and methylation data
Remnant cholesterol and non-alcoholic fatty liver disease: two-sample Mendelian randomization across three outcome GWAS
Scalable multitrait GWAS analysis using random subset sampling to improve computational efficiency and statistical power.
Heritability and genetic correlations of diagnosed joint hypermobility from FinnGen, plus a null matrisome gene-set test on psychiatric GWAS
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