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Article

A new statistical framework for genetic pleiotropic analysis of high dimensional phenotype data.

BMC genomics - 7 Nov 2016

Wang Panpan, Rahman Mohammad, Jin Li, Xiong Momiao

Abstract excerpt

BACKGROUND: The widely used genetic pleiotropic analyses of multiple phenotypes are often designed for examining the relationship between common variants and a few phenotypes. They are not suited for both high dimensional phenotypes and high dimensional genotype (next-generation sequencing) data. To overcome limitations of the traditional genetic pleiotropic analysis of multiple phenotypes, we develop sparse...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 27821073
DOI: 10.1186/s12864-016-3169-1
PMCID: PMC5100198

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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