Yoohann

Yoohann's Stars

• getian107/PRScs

  Polygenic prediction via continuous shrinkage priors

  Language:Python159118859

• mkanai/fujiplot

  :mount_fuji: Fuji plot—a circos representation of multiple GWAS results— :mount_fuji:

  Language:R803819

• FinucaneLab/pops

  Language:Python7151811

• NightingaleHealth/ggforestplot

  An R package to create forestplots of measures of effects with their confidence intervals.

  Language:R5741612

• mkanai/ldsc-corrplot-rg

  corrplot of LDSC genetic correlation results

  Language:R483511

• RajLabMSSM/echolocatoR

  Automated statistical and functional fine-mapping pipeline with extensive API access to datasets.

  Language:R36310113

• wuyangf7/OPERA

  This software tool implements the OPERA (omics pleiotropic association) method to test for combinatorial pleiotropic associations of molecular phenotypes (e.g., expression level of a gene and DNA methylation level at CpG sites) with a complex trait of interest using summary-level data from GWAS and molecular QTL studies. OPERA is a Bayesian generalization of the SMR & HEIDI approach8 to a multi-omics model, where the molecular phenotypes are considered as exposures and only the complex trait is considered as the outcome. This tool can therefore be used to prioritize molecular phenotypes that mediate the genetic effects for complex trait and provide mechanistic interpretation of the GWAS signal.

  Language:C++33284

• dingruofan/xQTLbiolinks

  xQTLbiolinks: a comprehensive and scalable tool for integrative analysis of molecular QTLs

  Language:R306284

• bhattacharya-a-bt/isotwas

  Language:R19142

• LizaDarrous/PheWAS-cluster

  Language:R19115

• ckhunsr1/PUMICE

  PUMICE: Prediction Using Models Informed by Chromatin conformations and Epigenomics

  Language:R12202

• masadler/DrugTargetMethodComparison

  Language:R12102

• TiffanyAmariuta/TCSC

  TCSC (Tissue co-regulation score regression) is a statistical genetics method to identify causal tissues in diseases and complex traits.

  Language:R12124

• ChongWuLab/SUMMIT

  Summary-level Unified Method for Modeling Integrated Transcriptome

  Language:R10311

• jianyanglab/gsmr2

  The gsmr R-package implements the GSMR (Generalised Summary-data-based Mendelian Randomisation) method that uses GWAS summary statistics to test for a putative causal association between two phenotypes (e.g., a modifiable risk factor and a disease) based on a multi-SNP model

  Language:R10420

• mkanai/mr-forestplot

  Language:R10205

• FINNGEN/META_ANALYSIS

  Tools for doing x way meta-analysis

  Language:Python993015

• LidaWangPSU/EXPRESSO

  EXpression PREdiction with Summary Statistics Only

  Language:R8

• biostatYu/MRcode

  Language:R7200

• evastauffer/schizophrenia-and-brain-structure

  Language:R710

• gcb-hub/BLISS

  Language:R7102

• segrelabgenomics/ECLIPSER

  Enrichment of Causal Loci and Identification of Pathogenic cells in Single Cell Expression and Regulation data

  Language:Jupyter Notebook7113

• theLongLab/TF-TWAS

  Language:R6111

• IsyFoote/Genomic-Factor-Analysis-of-modifiable-AD-risk_NBA22

  A code walkthrough of the analyses performed for our paper on the shared genetic architecture of modifiable risk for Alzheimer's disease using genomic SEM.

  Language:R5101

• milospjanic/chrPos2rsID

  chrPos2rsID is a script to convert a list of genomics positions in a format: chrno_position_allele1_allele2 to SNP rsIDs. Script will append rsIDs as a column to an existing file. chrPos2rsID is useful for quick conversion of to SNP rsIDs for various downstream analysis and lookups.

  Language:Shell5201

• precimed/mix3r

  Language:Jupyter Notebook5501

• cadeleeuw/twas-validity-scripts2022

  Simulation and analysis scripts for paper "Reconsidering the validity of transcriptome-wide association studies"

  Language:R40

• gl-q1an/Two-Phenos-Analysis

  Using different tools to study the relationship between two GWAS summaries of two phenotypes.

  Language:R4100

• yanglab-emory/BGW-TWAS

  Language:C++3221

• XWangLab/SMAP

  Language:Perl11