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

Nonparametric simulation-based statistics for detecting linkage in general pedigrees.

American journal of human genetics - 1 Apr 1996

Davis S, Schroeder M, Goldin L R, Weeks D E

Abstract excerpt

We present here four nonparametric statistics for linkage analysis that test whether pairs of affected relatives share marker alleles more often than expected. These statistics are based on simulating the null distribution of a given statistic conditional on the unaffecteds' marker genotypes. Each statistic uses a different measure of marker sharing: the SimAPM statistic uses the simulation-based...

Topics

Algorithms
Alleles
Ataxia
Computer Simulation
Family
Genetic Linkage
Genetic Markers
Genotype
Humans
Models, Genetic
Models, Statistical
Pedigree

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Statistics, Nonparametric

Source

Open in PubMed Open full text

Identifiers

PMID: 8644751
PMCID: PMC1914666

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 29 Aug 2026. Prepared record publication-8644751-2026-08-29.1. 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

Nonparametric simulation-based statistics for detecting linkage in general pedigrees.PMID 8644751Read ↗

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

The affected-pedigree-member method: power to detect linkage.Semantic proximity Read ↗

Pedigree generation for analysis of genetic linkage and association.Semantic proximity Read ↗

Powerful allele sharing statistics for nonparametric linkage analysis.Semantic proximity Read ↗

Testing association and linkage using affected-sib-parent study designs.Semantic proximity Read ↗

Simulating Pedigrees Ascertained for Multiple Disease-Affected RelativesSemantic proximity Read ↗

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

Crossover interference and sex-specific genetic maps shape identical by descent sharing in close relativesSemantic proximity Read ↗

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

Weighting affected sib pairs by marker informativity.Semantic proximity Read ↗

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

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

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