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Genome-wide Association Studies-GWAS

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...

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Related Experiment Video

Updated: Apr 15, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

SpaPheno: linking spatial transcriptomics to clinical phenotypes with interpretable machine learning

Bin Duan¹, Xiaojie Cheng², Hua Zou³

¹Key Laboratory of Systems Biomedicine, Ministry of Education, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, 200240, China. binduan@sjtu.edu.cn.

Genome Medicine

|April 14, 2026

Summary

No abstract available in PubMed .

Keywords:

Bulk RNA-seq Clinical phenotype Interpretable machine learning Precision oncology Spatial transcriptomic

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