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

What is the probability of replicating a statistically significant association in genome-wide association studies?

Briefings in bioinformatics - 1 Nov 2017

Jiang Wei, Xue Jing-Hao, Yu Weichuan

Abstract excerpt

The goal of genome-wide association studies (GWASs) is to discover genetic variants associated with diseases/traits. Replication is a common validation method in GWASs. We regard an association as true finding when it shows significance in both primary and replication studies. A question worth pondering is what is the probability of a primary association (i.e. a statistically significant association in the...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Bayes Theorem
Share to Case-Control Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Computer Simulation

Share to Diabetes Mellitus, Type 2

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Share to Reproducibility of Results

Source

Identifiers

PMID: 27687799
DOI: 10.1093/bib/bbw091

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

What is the probability of replicating a statistically significant association in genome-wide association studies?PMID 27687799Read ↗

Is replication the gold standard for validating genome-wide association findings?Semantic proximity Read ↗

Power estimation and sample size determination for replication studies of genome-wide association studies.Semantic proximity Read ↗

Jointly determining significance levels of primary and replication studies by controlling the false discovery rate in two-stage genome-wide association studies.Semantic proximity Read ↗

Statistical Correction of the Winner’s Curse Explains Replication Variability in Quantitative Trait Genome-Wide Association StudiesSemantic proximity Read ↗

repfdr: a tool for replicability analysis for genome-wide association studies.Semantic proximity Read ↗

Accurate modeling of replication rates in genome-wide association studies by accounting for Winner's Curse and study-specific heterogeneity.Semantic proximity Read ↗

Accurate modeling of replication rates in genome-wide association studies by accounting for Winner’s Curse and study-specific heterogeneitySemantic proximity Read ↗

Statistical correction of the Winner's Curse explains replication variability in quantitative trait genome-wide association studies.Semantic proximity Read ↗

What Do We Mean by ‘Replication’ and ‘Validation’ in Genome-Wide Association Studies?Semantic proximity Read ↗

Effectiveness of strategies to increase the validity of findings from association studies: size vs. replication.Semantic proximity Read ↗

SNP characteristics predict replication success in association studies.Semantic proximity Read ↗

Fine mapping versus replication in whole-genome association studies.Semantic proximity Read ↗

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