Integrative genomic analysis reveals causal relationships between breast mammary tissue gene expression and breast cancer risk using multi-method Mendelian randomization

Rongrong Xiao; Ruqing Li

doi:10.1007/s12672-025-03956-4

November 19, 2025Discover OncologyOpen Access

Integrative genomic analysis reveals causal relationships between breast mammary tissue gene expression and breast cancer risk using multi-method Mendelian randomization

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Key Points

The research aims to establish causal connections between gene expression in breast mammary tissue and the risk of breast cancer.
Integrative genomic analysis combining various data sets
Utilization of multi-method Mendelian randomization techniques
Identified specific gene expression patterns linked to breast cancer risk
Provided robust evidence supporting casual relationships between gene expression and cancer risk

Implication

Integrative genomic analysis reveals gene expression patterns in breast tissue affect cancer risk, suggesting new prevention strategies.

Abstract

This integrative genomic analysis provides robust evidence for causal relationships between specific gene expression patterns in breast mammary tissue and breast cancer risk.

Discussion

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Cite This Study

Xiao et al. (2025) studied this question.

synapsesocial.com/papers/6924fed1c0ce034ddc350f17 https://doi.org/10.1007/s12672-025-03956-4

View Full Paper

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Integrative genomic analysis reveals causal relationships between breast mammary tissue gene expression and breast cancer risk using multi-method Mendelian randomization

Key Points

Implication

Abstract

Discussion

Cite This Study

Integrative genomic analysis reveals causal relationships between breast mammary tissue gene expression and breast cancer risk using multi-method Mendelian randomization

Key Points

Implication

Abstract

Discussion

Cite This Study

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