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Article

MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer.

Nature communications - 23 Jan 2023

Song Xiaoyu, Ji Jiayi, Rothstein Joseph H, Alexeeff Stacey E, Sakoda Lori C, Sistig Adriana, Achacoso Ninah, Jorgenson Eric, Whittemore Alice S, Klein Robert J, Habel Laurel A, Wang Pei, Sieh Weiva

Abstract excerpt

Human bulk tissue samples comprise multiple cell types with diverse roles in disease etiology. Conventional transcriptome-wide association study approaches predict genetically regulated gene expression at the tissue level, without considering cell-type heterogeneity, and test associations of predicted tissue-level expression with disease. Here we develop MiXcan, a cell-type-aware transcriptome-wide association...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 36690614
DOI: 10.1038/s41467-023-35888-4
PMCID: PMC9871010

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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