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

Powerful allele sharing statistics for nonparametric linkage analysis.

Human heredity - 1 Jan 2004

Lange Ethan M, Lange Kenneth

Abstract excerpt

Nonparametric linkage analysis is widely used to map susceptibility genes for complex diseases. This paper introduces six nonparametric statistics for measuring marker allele sharing among the affected members of a pedigree. We compare the power of these new statistics and three previous statistics to detect linkage with Mendelian diseases having recessive, additive, and dominant modes of inheritance. The nine...

Topics

Alleles
Breast Neoplasms
Computer Simulation
Female
Genes, BRCA1
Genes, Dominant
Genes, Recessive
Genetic Linkage
Genetics
Genotype
Homozygote
Humans

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Male

Meiosis

Models, Genetic

Models, Statistical

Pedigree

Source

Identifiers

PMID: 15133312
DOI: 10.1159/000077389

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 29 Aug 2026. Prepared record publication-15133312-2026-08-29.1. Manifest publication-graph-cohort-2026-08-29.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 29 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

Powerful allele sharing statistics for nonparametric linkage analysis.PMID 15133312Read ↗

A survey of affected-sibship statistics for nonparametric linkage analysis.Semantic proximity Read ↗

Allele-sharing among affected relatives: non-parametric methods for identifying genes.Semantic proximity Read ↗

A class of tests for linkage using affected pedigree members.Semantic proximity Read ↗

Identity-by-descent estimation and mapping of qualitative traits in large, complex pedigrees.Semantic proximity Read ↗

Statistics for nonparametric linkage analysis of X-linked traits in general pedigrees.Semantic proximity Read ↗

Model-Free Linkage Analysis of a Binary Trait.Semantic proximity Read ↗

Comparison of allele-sharing statistics for general pedigrees.Semantic proximity Read ↗

Assessing whether an allele can account in part for a linkage signal: the Genotype-IBD Sharing Test (GIST).Semantic proximity Read ↗

Nonparametric simulation-based statistics for detecting linkage in general pedigrees.Semantic proximity Read ↗

Optimal allele-sharing statistics for genetic mapping using affected relatives.Semantic proximity Read ↗

Evaluation of approaches to identify associated SNPs that explain the linkage evidence in nuclear families with affected siblings.Semantic proximity Read ↗

Nonparametric tests of association of multiple genes with human disease.Semantic proximity Read ↗

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