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Epistasis Analysis

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...

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Related Experiment Video

Updated: Nov 12, 2025

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform

Published on: January 30, 2017

Integrated analysis of multiple microarray studies to identify potential pathogenic gene modules in preeclampsia.

Heze Xu¹, Yin Xie², Yanan Sun²

¹Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; The Second Clinical Medicine College, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, China.

Experimental and Molecular Pathology

|March 21, 2021

Summary

This study identifies five key genes linked to preeclampsia, offering potential new biomarkers for diagnosing and predicting this pregnancy complication. These findings advance understanding of preeclampsia

Keywords:

Bioinformatics Biomarkers Preeclampsia Robust rank aggregation

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Last Updated: Nov 12, 2025

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform

Transcriptome Profiling of In-Vivo Produced Bovine Pre-implantation Embryos Using Two-color Microarray Platform

Published on: January 30, 2017

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry

Published on: June 21, 2018

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

Area of Science:

Genomics
Reproductive Medicine
Biomarker Discovery

Background:

Preeclampsia is a severe pregnancy complication characterized by hypertension.
Current understanding of preeclampsia's pathogenesis and diagnostic methods remains limited.

Purpose of the Study:

To identify novel diagnostic and prognostic biomarkers for preeclampsia.
To investigate the underlying molecular mechanisms and pathogenesis of preeclampsia.

Main Methods:

Integrated six preeclampsia microarray datasets using Robust Rank Aggregation.
Analyzed differentially expressed genes (DEGs) and their association with blood pressure using linear regression.
Employed functional annotation, protein-protein interaction, and Gene Set Enrichment Analysis (GSEA).

Main Results:

Identified 52 DEGs, filtering down to five hub genes (leptin, pappalysin 2, endoglin, FMS-related receptor tyrosine kinase 1, tripartite motif containing 24).
These hub genes positively correlated with systolic and diastolic blood pressure and showed potential as diagnostic/prognostic biomarkers.
GSEA indicated associations with angiogenesis and estrogen response; single-sample GSEA linked hub gene expression to immune cell activity at the maternal-fetal interface.

Conclusions:

Five hub genes identified as potential biomarkers for preeclampsia diagnosis and prognosis.
Findings offer new insights into preeclampsia pathogenesis, particularly concerning angiogenesis and immune interactions.