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

Using public control genotype data to increase power and decrease cost of case-control genetic association studies.

Human genetics - 1 Dec 2010

Ho Lindsey A, Lange Ethan M

Abstract excerpt

Genome-wide association (GWA) studies are a powerful approach for identifying novel genetic risk factors associated with human disease. A GWA study typically requires the inclusion of thousands of samples to have sufficient statistical power to detect single nucleotide polymorphisms that are associated with only modest increases in risk of disease given the heavy burden of a multiple test correction that is...

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 Costs and Cost Analysis
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Mathematical Computing

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 20821337
DOI: 10.1007/s00439-010-0880-x
PMCID: PMC3133924

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

Using public control genotype data to increase power and decrease cost of case-control genetic association studies.PMID 20821337Read ↗

Case-control studies in the genomic era: a clinician's guide.Semantic proximity Read ↗

Using previously genotyped controls in genome-wide association studies (GWAS): application to the Stroke Genetics Network (SiGN)Semantic proximity Read ↗

A general framework for two-stage analysis of genome-wide association studies and its application to case-control studies.Semantic proximity Read ↗

Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies.Semantic proximity Read ↗

Optimizing the power of genome-wide association studies by using publicly available reference samples to expand the control group.Semantic proximity Read ↗

Opportunities and challenges for the use of common controls in sequencing studies.Semantic proximity Read ↗

Optimal designs for two-stage genome-wide association studies.Semantic proximity Read ↗

A robust test for two-stage design in genome-wide association studies.Semantic proximity Read ↗

Including additional controls from public databases improves the power of a genome-wide association study.Semantic proximity Read ↗

Study designs for genome-wide association studies.Semantic proximity Read ↗

Efficient two-stage genome-wide association designs based on false positive report probabilities.Semantic proximity Read ↗

Two-phase designs to follow-up genome-wide association signals with DNA resequencing studies.Semantic proximity Read ↗

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