gwas-database

Programmatically query SNP-trait associations by accessing the NHGRI-EBI GWAS Catalog REST API. This approach retrieves published genome-wide association data, returning HAL+JSON responses with built-in pagination to streamline genetic data analysis.

You can find studies and summary statistics for a specific trait like Alzheimer's disease by filtering GWAS Catalog queries. This retrieves associated SNPs and enables downloading summary statistics for downstream investigation into genetic risk factors.

Filtering options for accessing GWAS summary statistics include trait, variant, gene, and study accession. This allows precise retrieval of specific genetic associations and published genome-wide study data via the REST API.

This approach works with Python data analysis libraries like matplotlib and numpy. It leverages these dependencies alongside requests to query the GWAS Catalog API and process the returned HAL+JSON association data.

The best way to retrieve rs ID variant details from published genome-wide association studies is querying the NHGRI-EBI GWAS Catalog REST API. It provides direct programmatic lookup of individual SNPs and variant-trait associations.

A limitation of retrieving large sets of genomic variants is navigating the HAL+JSON pagination structure. Built-in pagination handles large result sets from the GWAS Catalog REST API, but requires programmatic iteration to compile complete genomic data.