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

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

Nature genetics - 1 Feb 2006

Skol Andrew D, Scott Laura J, Abecasis Gonçalo R, Boehnke Michael

Abstract excerpt

Genome-wide association is a promising approach to identify common genetic variants that predispose to human disease. Because of the high cost of genotyping hundreds of thousands of markers on thousands of subjects, genome-wide association studies often follow a staged design in which a proportion (pi(samples)) of the available samples are genotyped on a large number of markers in stage 1, and a proportion...

Read the complete abstract on PubMed

Topics

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

Share to Alleles
Share to Case-Control Studies
Share to DNA Replication

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Gene Frequency

Share to Genetic Heterogeneity

Share to Genetic Markers

Share to Genetics, Medical

Share to Genome, Human

Source

Identifiers

PMID: 16415888
DOI: 10.1038/ng1706

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies.PMID 16415888Read ↗

Probability that a two-stage genome-wide association study will detect a disease-associated snp and implications for multistage designs.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 ↗

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

Evaluating statistical significance in two-stage genomewide association studies.Semantic proximity Read ↗

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

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

A mixed two-stage method for detecting interactions in genomewide association studies.Semantic proximity Read ↗

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

Optimal two-stage genotyping in population-based association studies.Semantic proximity Read ↗

Performing post-genome-wide association study analysis: overview, challenges and recommendationsSemantic proximity Read ↗

Optimal two-stage strategy for detecting interacting genes in complex diseases.Semantic proximity Read ↗

Two-stage association tests for genome-wide association studies based on family data with arbitrary family structure.Semantic proximity Read ↗

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