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

Design and analysis of multiple diseases genome-wide association studies without controls.

Gene - 15 Nov 2012

Chen Zhongxue, Huang Hanwen, Ng Hon Keung Tony

Abstract excerpt

In genome-wide association studies (GWAS), multiple diseases with shared controls is one of the case-control study designs. If data obtained from these studies are appropriately analyzed, this design can have several advantages such as improving statistical power in detecting associations and reducing the time and cost in the data collection process. In this paper, we propose a study design for GWAS which...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Case-Control Studies
Share to Chi-Square Distribution

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Computer Simulation

Share to Genome, Human

Share to Genome-Wide Association Study

Share to Monte Carlo Method

Share to Research Design

Source

Open in PubMed Open full text

Identifiers

PMID: 22951808
DOI: 10.1016/j.gene.2012.07.089
PMCID: PMC3463729

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Design and analysis of multiple diseases genome-wide association studies without controls.PMID 22951808Read ↗

Testing for association in case-control genome-wide association studies with shared controls.Semantic proximity Read ↗

P-value based analysis for shared controls design in genome-wide association studies.Semantic proximity Read ↗

A new association test based on disease allele selection for case-control genome-wide association studies.Semantic proximity Read ↗

Joint analysis of binary and quantitative traits with data sharing and outcome-dependent sampling.Semantic proximity Read ↗

Rare variants analysis by risk-based variable-threshold method.Semantic proximity Read ↗

Statistical co-analysis of high-dimensional association studiesSemantic proximity Read ↗

A Pleiotropy-Informed Bayesian False Discovery Rate adapted to a Shared Control Design Finds New Disease Associations From GWAS Summary StatisticsSemantic proximity Read ↗

A pleiotropy-informed Bayesian false discovery rate adapted to a shared control design finds new disease associations from GWAS summary statistics.Semantic proximity Read ↗

Multiple phenotype association tests using summary statistics in genome-wide association studies.Semantic proximity Read ↗

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

The effects of case/control ratio and sample size on genome-wide association studies: A simulation study.Semantic proximity Read ↗

Detecting associated single-nucleotide polymorphisms on the X chromosome in case control genome-wide association studies.Semantic proximity Read ↗

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