Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Interpreting disease genome-wide association studies and polygenetic risk scores given eligibility and study design considerations.

Genetic epidemiology - 1 Dec 2024

Schooling Catherine Mary, Terry Mary Beth

Abstract excerpt

Genome-wide association studies (GWAS) have been helpful in identifying genetic variants predicting cancer risk and providing new insights into cancer biology. Increasing use of genetically informed care, as well as genetically informed prevention and treatment strategies, have also drawn attention to some of the inherent limitations of cancer genetic data. Specifically, genetic endowment is lifelong. However,...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Case-Control Studies
Share to Genetic Predisposition to Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Mendelian Randomization Analysis

Share to Multifactorial Inheritance

Share to Neoplasms

Share to Research Design

Share to Selection Bias

Source

Identifiers

PMID: 38797991
DOI: 10.1002/gepi.22567

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Interpreting disease genome-wide association studies and polygenetic risk scores given eligibility and study design considerations.PMID 38797991Read ↗

Genome-wide association studies of cancer: principles and potential utility.Semantic proximity Read ↗

Using risk-based sampling to enrich cohorts for endpoints, genes, and exposures.Semantic proximity Read ↗

Biases in GWAS – the dog that did not barkSemantic proximity Read ↗

Using family members to augment genetic case-control studies of a life-threatening disease.Semantic proximity Read ↗

Power and sample size calculations for SNP association studies with censored time-to-event outcomes.Semantic proximity Read ↗

Genome-wide association studies of cancer.Semantic proximity Read ↗

Study design in genetic epidemiology: theoretical and practical considerations.Semantic proximity Read ↗

Design Considerations for Genetic Linkage and Association Studies.Semantic proximity Read ↗

Genetic variations as cancer prognostic markers: review and update.Semantic proximity Read ↗

Case-control and case-only designs with genotype and family history data: estimating relative risk, residual familial aggregation, and cumulative risk.Semantic proximity Read ↗

Commentary: Post-GWAS era: What can we do beyond cancer genetic association studies?Semantic proximity Read ↗

Discovery of cancer susceptibility genes: study designs, analytic approaches, and trends in technology.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.