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

A maximum-likelihood method to correct for allelic dropout in microsatellite data with no replicate genotypes.

Genetics - 1 Oct 2012

Wang Chaolong, Schroeder Kari B, Rosenberg Noah A

Abstract excerpt

Allelic dropout is a commonly observed source of missing data in microsatellite genotypes, in which one or both allelic copies at a locus fail to be amplified by the polymerase chain reaction. Especially for samples with poor DNA quality, this problem causes a downward bias in estimates of observed heterozygosity and an upward bias in estimates of inbreeding, owing to mistaken classifications of heterozygotes as...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computer Simulation
Share to Data Interpretation, Statistical

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

Share to Genetics, Population

Share to Inbreeding

Share to Indians, North American

Share to Likelihood Functions

Share to Models, Theoretical

Source

Open in PubMed Open full text

Identifiers

PMID: 22851645
DOI: 10.1534/genetics.112.139519
PMCID: PMC3660999

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

A maximum-likelihood method to correct for allelic dropout in microsatellite data with no replicate genotypes.PMID 22851645Read ↗

Assessing allelic dropout and genotype reliability using maximum likelihood.Semantic proximity Read ↗

Maximum-likelihood estimation of allelic dropout and false allele error rates from microsatellite genotypes in the absence of reference data.Semantic proximity Read ↗

Extended evaluation of the impact of dropout probability on likelihood ratios calculated in parent-child and full sibling analysis.Semantic proximity Read ↗

Differential dropout among SNP genotypes and impacts on association tests.Semantic proximity Read ↗

Estimating the probability of allelic drop-out of STR alleles in forensic genetics.Semantic proximity Read ↗

Genotyping-by-sequencing for estimating relatedness in nonmodel organisms: Avoiding the trap of precise bias.Semantic proximity Read ↗

Risk of Misdiagnosis Due to Allele Dropout and False-Positive PCR Artifacts in Molecular Diagnostics: Analysis of 30,769 Genotypes.Semantic proximity Read ↗

The effect of RAD allele dropout on the estimation of genetic variation within and between populations.Semantic proximity Read ↗

How to track and assess genotyping errors in population genetics studies.Semantic proximity Read ↗

A real-time PCR-based amelogenin Y allele dropout assessment model in gender typing of degraded DNA samples.Semantic proximity Read ↗

Models and implementation for relationship problems with dropout.Semantic proximity Read ↗

Microsatellite scoring errors associated with noninvasive genotyping based on nuclear DNA amplified from shed hair.Semantic proximity Read ↗

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