Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

805
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
805
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

16.0K
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...
16.0K
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

9.9K
Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
9.9K
Cancer Prevention02:59

Cancer Prevention

8.3K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
8.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Pleiotropic shared heritability quantifies the shared genetic variance of common diseases.

Nature genetics·2026
Same author

Functionally informed cis and trans proteome-wide association studies prioritize disease-critical genes.

medRxiv : the preprint server for health sciences·2026
Same author

<i>Trans</i>-eQTLs reveal the architecture of human gene regulatory networks.

medRxiv : the preprint server for health sciences·2026
Same author

Ancient DNA reveals that natural selection has upregulated the immune system over the last 10,000 years.

bioRxiv : the preprint server for biology·2026
Same author

Ancient DNA reveals pervasive directional selection across West Eurasia.

Nature·2026
Same author

Distinguishing causal from tagging enhancers using single-cell multiome data.

medRxiv : the preprint server for health sciences·2026
Same journal

Genetically proxied inhibition of cholesterol-lowering drug targets and survival in HPV-positive and non-HPV driven head and neck cancer: a multicentre MR study.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same journal

Retraction: Menstrual Factors, Reproductive History and Liver Cancer Risk: Findings from a Prospective Cohort Study in Chinese Women.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same journal

Optimizing the Uptake and Completion of the Cervical Cancer Screening Continuum: Opportunity Knocks, Including at Home.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same journal

Sex Differences in Cancer Stage at Diagnosis of Nonreproductive Solid Organ Tumors in the United States, 2015 to 2022.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same journal

Evaluation of the 4Kscore in EPIC: Reply.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same journal

Evaluation of the 4Kscore in EPIC: Letter.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
See all related articles

Related Experiment Video

Updated: Feb 28, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

8.0K

Quantifying the Genetic Correlation between Multiple Cancer Types.

Sara Lindström1,2, Hilary Finucane3,4, Brendan Bulik-Sullivan5

  • 1Department of Epidemiology, University of Washington, Seattle, Washington. saralind@uw.edu.

Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology
|June 23, 2017
PubMed
Summary
This summary is machine-generated.

This study reveals shared genetic factors between certain cancers, particularly linking breast, colorectal, and lung cancer. Understanding these genetic correlations offers insights into cancer biology and future research directions.

More Related Videos

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

1.0K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

956

Related Experiment Videos

Last Updated: Feb 28, 2026

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
08:00

Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal

Published on: October 11, 2019

8.0K
Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies
09:01

Cancer-Associated Fibroblasts from Mouse Mammary Tumors as Tools for Molecular and Computational Studies

Published on: July 3, 2025

1.0K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

956

Area of Science:

  • Genetics
  • Cancer Biology
  • Epidemiology

Background:

  • Cancers share genetic risk factors, including rare mutations and common single nucleotide polymorphisms (SNPs).
  • Genome-wide association studies (GWAS) have identified some shared genetic factors, but the overall shared heritability across different cancer types remains largely unknown.
  • Quantifying shared genetic origins between cancers provides insights into underlying biological mechanisms and informs the design of future genetic association studies.

Purpose of the Study:

  • To estimate pair-wise genetic correlations between six major cancer types.
  • To investigate shared heritability across breast, colorectal, lung, ovarian, pancreatic, and prostate cancers.
  • To explore genetic correlations between cancers and 14 non-cancer diseases and traits.

Main Methods:

  • Utilized cancer-specific GWAS summary statistics from 66,958 cases and 70,665 controls of European ancestry.
  • Estimated pair-wise genetic correlations between six cancer types.
  • Assessed genetic correlations between cancers and various non-cancer diseases and traits.

Main Results:

  • Significant genetic correlations were found between pancreatic and colorectal cancer (rg = 0.55) and lung and colorectal cancer (rg = 0.31).
  • Suggestive genetic correlations were observed between lung and breast cancer (rg = 0.27) and colorectal and breast cancer (rg = 0.22).
  • Prostate cancer showed no significant genetic correlation with other studied cancers. Lung cancer maintained a significant genetic correlation with smoking (rg = 0.41).

Conclusions:

  • The study identified novel genetic correlations between specific cancer types, supporting previous observational findings on shared risk factors.
  • Breast, colorectal, and lung cancers exhibit modest shared genetic underpinnings.
  • These findings contribute to understanding cancer etiology and highlight potential areas for targeted genetic research.