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

Power calculations for genetic association studies using estimated probability distributions.

American journal of human genetics - 1 Jun 2002

Schork Nicholas J

Abstract excerpt

The determination of the power of-or of an appropriate sample size for-genetic association studies that exploit linkage disequilibrium requires many assumptions. Some of the more important assumptions include the linkage-disequilibrium strength among alleles at the observed marker-locus sites and a potential trait-influencing locus, the frequencies of the marker locus and trait-influencing alleles, and the...

Topics

Alleles
Case-Control Studies
Chromosome Mapping
Gene Frequency
Genetic Markers
Haplotypes
Humans
Linkage Disequilibrium
Probability
Research Design
Sample Size

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Open in PubMed Open full text

Identifiers

PMID: 11992254
DOI: 10.1086/340788
PMCID: PMC379135

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 30 Aug 2026.

Community interpretation

Discuss the evidence

Ask a question, add context or challenge an interpretation. Community activity is separate from scientific evidence strength.

0

discussions

0

replies

Citations encouraged

Claims remain attributable.

No discussion yet

Be the first to add a careful, cited interpretation.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Power calculations for genetic association studies using estimated probability distributions.PMID 11992254Read ↗

The power of association studies to detect the contribution of candidate genetic loci to variation in complex traits.Semantic proximity Read ↗

Design and analysis of genetic association studies to finely map a locus identified by linkage analysis: sample size and power calculations.Semantic proximity Read ↗

Cost-effective designs for linkage disequilibrium mapping of complex traits.Semantic proximity Read ↗

Comparison of the power and accuracy of biallelic and microsatellite markers in population-based gene-mapping methods.Semantic proximity Read ↗

Power of association and linkage tests when the disease alleles are unobserved.Semantic proximity Read ↗

Power analysis for genome-wide association studies.Semantic proximity Read ↗

Evaluation of an approximation method for assessment of overall significance of multiple-dependent tests in a genomewide association study.Semantic proximity Read ↗

Detailed analysis of the relative power of direct and indirect association studies and the implications for their interpretation.Semantic proximity Read ↗

Factors affecting statistical power in the detection of genetic association.Semantic proximity Read ↗

Power for genetic association studies with random allele frequencies and genotype distributions.Semantic proximity Read ↗

Statistical power of model selection strategies for genome-wide association studies.Semantic proximity Read ↗

Sample Size and Statistical Power Calculation in Genetic Association StudiesSemantic proximity Read ↗

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