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Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
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Gene-Environment Interactions01:20

Gene-Environment Interactions

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Gene expression is a dynamic process that is significantly influenced by environmental factors. This interaction underlies the complex nature of biological development and the phenotypic differences observed among individuals, even among those with identical genetic makeups. Factors such as radiation, temperature, behavior, nutrition, and stress play pivotal roles in determining how genes are expressed. The concept of the reaction range is central to understanding this interaction. It posits...
1.0K
Polygenic Traits01:18

Polygenic Traits

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When more than one gene is responsible for a given phenotype, the trait is considered polygenic. Human height is a polygenic trait. Studies have uncovered hundreds of loci that influence height, and there are believed to be many more. Due to the high number of genes involved, as well as environmental and nutritional factors, height varies significantly within a given population. The distribution of height forms a bell-shaped curve, with relatively few individuals in the population at the...
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Epistasis Analysis01:09

Epistasis Analysis

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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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Human Genetics01:28

Human Genetics

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
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Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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Related Experiment Video

Updated: Jan 8, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

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Co-expression-wide association studies link genetically regulated interactions with complex traits.

Mykhaylo M Malakhov1, Wei Pan2

  • 1Division of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

Nature Communications
|December 11, 2025
PubMed
Summary
This summary is machine-generated.

Introducing co-expression-wide association study (COWAS), a new method to find gene and protein pairs linked to complex traits. COWAS reveals how interacting proteins influence diseases, even when acting alone they don't.

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Area of Science:

  • Genetics and Systems Biology
  • Computational Biology
  • Disease Risk Prediction

Background:

  • Transcriptome- and proteome-wide association studies (TWAS/PWAS) identify genes/proteins linked to disease risk.
  • Existing methods overlook co-expression and interaction effects between genes or proteins.
  • Understanding molecular networks is crucial for complex trait genetics.

Purpose of the Study:

  • Introduce the co-expression-wide association study (COWAS) method.
  • Identify gene/protein pairs with genetically regulated co-expression associated with complex traits.
  • Investigate the role of protein-protein interactions in disease etiology.

Main Methods:

  • COWAS trains models to predict expression and co-expression from genetic variation.
  • Tests association between imputed co-expression and traits, accounting for direct effects.
  • Applies the method to UK Biobank plasma proteomic data.

Main Results:

  • Identified dozens of interacting protein pairs associated with cholesterol levels, Alzheimer's, and Parkinson's diseases.
  • Demonstrated that protein co-expression can influence complex traits independently of individual protein effects.
  • Showcased COWAS's ability to disentangle direct and interaction effects in molecular networks.

Conclusions:

  • COWAS provides a novel approach to uncover genetically regulated co-expression patterns associated with complex traits.
  • Protein-protein interactions revealed by COWAS offer new insights into disease mechanisms.
  • The method enhances understanding of molecular networks mediating genetic effects on disease.