arXiv (All)
open access
Testing Procedures for Strict Pleiotropy in Genetic Association Studies
Pleiotropy, the phenomenon in which a single genetic variant influences multiple traits, is a fundamental feature of genome biology and an important consideration in statistical genetics. Many statistical methods exist that leverage pleiotropy to increase the power of association tests, but they are
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Inferring genetic variant networks by leveraging pleiotropy shows trait relationships drive massive pleiotropy in GWAS#379866
- PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses#6298
- Genome-wide association study reveals two novel genetic loci associated with chronic lung allograft dysfunction#218193
- Genome-wide association study reveals two novel genetic loci associated with chronic lung allograft dysfunction#203181
- Beyond two alleles: Multiallelic genotypic selection and its estimation from time-series data#1028830
Record · ID 1155897
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive