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

DOT: Gene-set analysis by combining decorrelated association statistics.

PLoS computational biology - 1 Apr 2020

Vsevolozhskaya Olga A, Shi Min, Hu Fengjiao, Zaykin Dmitri V

Abstract excerpt

Historically, the majority of statistical association methods have been designed assuming availability of SNP-level information. However, modern genetic and sequencing data present new challenges to access and sharing of genotype-phenotype datasets, including cost of management, difficulties in consolidation of records across research groups, etc. These issues make methods based on SNP-level summary statistics...

Read the complete abstract on PubMed

Topics

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

Share to Breast Neoplasms
Share to Cleft Lip
Share to Computational Biology

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Markers

Share to Genome-Wide Association Study

Share to Linkage Disequilibrium

Share to Models, Statistical

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 32287273
DOI: 10.1371/journal.pcbi.1007819
PMCID: PMC7182280

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

DOT: Gene-set analysis by combining decorrelated association statistics.PMID 32287273Read ↗

mBAT-combo: A more powerful test to detect gene-trait associations from GWAS data.Semantic proximity Read ↗

Cross-GWAS coherence test at the gene and pathway levelSemantic proximity Read ↗

Divided-and-combined association test for pleiotropic effects with GWAS summary statistics.Semantic proximity Read ↗

Greater power and computational efficiency for kernel-based association testing of sets of genetic variants.Semantic proximity Read ↗

An Optimally Weighted Combination Method to Detect Novel Disease Associated Genes Using Publicly Available GWAS Summary DataSemantic proximity Read ↗

Set association analysis of SNP case-control and microarray data.Semantic proximity Read ↗

Identifying complex gene-gene interactions: a mixed kernel omnibus testing approach.Semantic proximity Read ↗

AGGrEGATOr: A Gene-based GEne-Gene interActTiOn test for case-control association studies.Semantic proximity Read ↗

An exponential combination procedure for set-based association tests in sequencing studies.Semantic proximity Read ↗

Cross-GWAS coherence test at the gene and pathway level.Semantic proximity Read ↗

A gene-based test of association through an orthogonal decomposition of genotype scores.Semantic proximity Read ↗

A gene based combination test using GWAS summary data.Semantic proximity Read ↗

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