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

Re-assessment of multiple testing strategies for more efficient genome-wide association studies.

European journal of human genetics : EJHG - 1 Jul 2018

Otani Takahiro, Noma Hisashi, Nishino Jo, Matsui Shigeyuki

Abstract excerpt

Although enormous costs have been dedicated to discovering relevant disease-related genetic variants, especially in genome-wide association studies (GWASs), only a small fraction of estimated heritability can be explained by these results. This is the so-called missing heritability problem. The conventional use of overly conservative multiple testing strategies based on controlling the familywise error rate...

Read the complete abstract on PubMed

Topics

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

Share to Arthritis, Rheumatoid
Share to Computer Simulation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome

Share to Genome-Wide Association Study

Share to Polymorphism, Single Nucleotide

Share to Schizophrenia

Source

Open in PubMed Open full text

Identifiers

PMID: 29523830
DOI: 10.1038/s41431-018-0125-3
PMCID: PMC6018732

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

Re-assessment of multiple testing strategies for more efficient genome-wide association studies.PMID 29523830Read ↗

An excess of risk-increasing low-frequency variants can be a signal of polygenic inheritance in complex diseases.Semantic proximity Read ↗

Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWAS.Semantic proximity Read ↗

Revisiting the genome-wide significance threshold for common variant GWAS.Semantic proximity Read ↗

Methods for meta-analyses of genome-wide association studies: critical assessment of empirical evidence.Semantic proximity Read ↗

Multiple testing and power calculations in genetic association studies.Semantic proximity Read ↗

Weighted multiple testing procedures in genome-wide association studies.Semantic proximity Read ↗

Improving power of genome-wide association studies with weighted false discovery rate control and prioritized subset analysis.Semantic proximity Read ↗

The Use of Multiplicity Corrections, Order Statistics and Generalized Family-Wise Statistics with Application to Genome-Wide Studies.Semantic proximity Read ↗

Addressing population-specific multiple testing burdens in genetic 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 ↗

Multiple testing corrections for imputed SNPs.Semantic proximity Read ↗

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

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