Skip to content

timyers/ldlinkpy

Repository files navigation

LDlinkPy

A Python interface to LDlink for reproducible linkage disequilibrium workflows

Project status: Work in progress. Feedback and contributions are welcome.

MIT License Python 3.10+

Introduction

LDlink is an interactive suite of web-based tools for investigating linkage disequilibrium (LD) across ancestral population groups. LDlink uses publicly available 1000 Genomes Project reference haplotypes to calculate population-specific LD, accepts variants as RefSNP (RS) numbers or genomic positions, and references dbSNP for RS identifiers and bi-allelic variant information. Depending on the module, LDlink also incorporates data from resources such as UCSC RefSeq, RegulomeDB, genetic maps, the GTEx Portal, the GWAS Catalog, and FORGEdb.

Internet access and a personal LDlink API token are required for API calls.

Install

LDlinkPy is currently installed from GitHub and is not on PyPI yet. Using a virtual environment is recommended.

Requirements

  • Python 3.10 or newer

macOS / Linux

python3 -m venv .venv
./.venv/bin/python -m pip install --upgrade pip
./.venv/bin/python -m pip install "https://github.com/timyers/ldlinkpy/archive/refs/heads/main.zip"

Windows PowerShell

py -m venv .venv
.\.venv\Scripts\python -m pip install --upgrade pip
.\.venv\Scripts\python -m pip install "https://github.com/timyers/ldlinkpy/archive/refs/heads/main.zip"

Quick Start

1. Get And Set Your LDlink Token

Request a personal access token at https://ldlink.nih.gov/apiaccess. Once registered, your token will be emailed to you.

LDlinkPy reads your token from the LDLINK_TOKEN environment variable by default. You can also pass token="your_token_here" directly to endpoint functions.

macOS / Linux:

export LDLINK_TOKEN="your_token_here"

Windows PowerShell:

$env:LDLINK_TOKEN="your_token_here"

2. Start Python

macOS / Linux:

./.venv/bin/python

Windows PowerShell:

.\.venv\Scripts\python

3. Import LDlinkPy

from ldlinkpy import list_pop, list_chips, ldpair, ldproxy

4. Try A Simple Lookup

List available 1000 Genomes populations:

list_pop()

Example output for list_pop()

List available genotyping SNP chips:

list_chips()

5. Run A Simple Analysis

Check LD between two variants:

ldpair("rs3", "rs4", pop="YRI")

Example output for ldpair()

Find proxy variants for a SNP:

ldproxy("rs7412", pop="CEU")

Public Functions

Function Purpose
ldpair Query LD statistics for one or more variant pairs.
ldmatrix Create an LD matrix for a set of variants.
ldproxy Find proxy variants for a query variant.
ldproxy_batch Run multiple LDproxy queries and write result files.
ldtrait Query trait associations linked to variants in LD.
ldexpress Query GTEx expression associations for variants in LD.
ldhap Query haplotype and variant tables for a variant set.
ldpop Query LD statistics across populations for two variants.
snpclip Prune variants by LD and minor allele frequency thresholds.
snpchip Identify genotyping arrays containing variants.
list_pop Return available 1000 Genomes population codes.
list_chips / list_chip_platforms Return available genotyping chip/platform codes.
list_gtex_tissues Return GTEx tissue names and LDexpress tissue codes.

Most endpoint functions return pandas DataFrames by default. Some functions support raw responses, file output, or endpoint-specific return shapes. See the API reference for details.

More Documentation

  • API reference: public functions, parameters, return types, and common exceptions.
  • Longer usage examples: endpoint-by-endpoint command-line examples for local development and exploratory testing.
  • End-to-end examples: includes an LDlinkPy-only workflow examining population-specific LD, haplotype structure, and optional SNPchip coverage for published SNP tags at the Ewing sarcoma 6p25.1/RREB1 susceptibility locus.

Authorship

LDlinkPy was conceived and overseen by xxxxx xxxxx, with code and documentation assistance from ChatGPT 5.2 Thinking (OpenAI) and Codex (OpenAI). Additional authors and contributors may be added as the project develops.

Relationship To LDlinkR

LDlinkPy is intended to provide Python access to the major LDlink workflows familiar to LDlinkR users. Function names and behavior are generally aligned where practical, while using Python conventions such as pandas DataFrames and keyword arguments.

Development Status

This package is still being prepared for broader review and release. The current focus is documentation, examples, packaging polish, and human testing before further endpoint behavior changes.

About

LDlinkPy provides Python access to the LDlink web application REST API, enabling researchers to query linkage disequilibrium, human population genetics, and functional annotation workflows from reproducible Python analyses.

Resources

License

Code of conduct

Stars

Watchers

Forks

Packages

 
 
 

Contributors

Languages