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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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.
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Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
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Cancer arises from mutations in the critical genes that allow healthy cells to escape cell cycle regulation and acquire the ability to proliferate indefinitely. Though originating from a single mutation event in one of the originator cells, cancer progresses when the mutant cell lines continue to gain more and more mutations, and finally, become malignant. For example, chronic myelogenous leukemia (CML) develops initially as a non-lethal increase in white blood cells, which progressively...
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Related Experiment Video

Updated: May 29, 2026

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
04:44

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

Published on: June 16, 2020

Local genetic correlations between systemic sclerosis and common cancer types.

Karina Patasova1,2,3, Weng Ian Che4, Helga Westerlind5

  • 1Center for Molecular Medicine, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.

Plos One
|May 27, 2026
PubMed
Summary

Systemic sclerosis (SSc) patients have higher cancer incidence. This study found a specific genetic overlap (pleiotropy) between SSc and lung cancer, suggesting shared biological pathways.

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Primary Sjogren's Syndrome Associated with Lung Adenocarcinoma: Probing the Potential Common Pathogenic Mechanisms and Experimental Verification
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Published on: September 20, 2024

Area of Science:

  • Genetics
  • Oncology
  • Rheumatology

Background:

  • Systemic sclerosis (SSc) is linked to increased cancer risk.
  • Previous genetic studies overlooked locus-specific associations between SSc and cancer.
  • Local genetic correlation analysis is needed to identify fine-scaled genetic overlap.

Purpose of the Study:

  • To investigate the fine-scaled genetic overlap between systemic sclerosis (SSc) and common cancers.
  • To identify locus-specific genetic correlations and pleiotropy between SSc and breast cancer, lung cancer, and hematologic malignancies.

Main Methods:

  • Assessed genetic relationships using genome-wide association study statistics.
  • Employed linkage disequilibrium score regression and Local Analysis of [co]Variant Annotation for correlation analysis.
  • Utilized gene-based meta-analysis, colocalization, and fine-mapping to detect pleiotropy.

Main Results:

  • No significant global genetic correlation was found between SSc and analyzed cancer subtypes.
  • Identified 23 significant local bivariate correlations, with 21 involving breast cancer subtypes.
  • A shared locus between SSc and lung cancer demonstrated strong evidence of pleiotropy.

Conclusions:

  • A pleiotropic locus was identified between systemic sclerosis (SSc) and lung cancer.
  • This finding highlights potential shared pathobiological mechanisms.
  • Identified genes within the shared locus offer candidates for future research.