Modeling Informatively Missing Genotypes in Haplotype Analysis

DOI10.1080/03610920802696588zbMath1177.62129OpenAlexW2034292229WikidataQ33570491 ScholiaQ33570491MaRDI QIDQ3652677

Richard Bucala, Nianjun Liu, Hongyu Zhao

Publication date: 16 December 2009

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2801447

zbMATH Keywords

EM algorithmlinkage disequilibriummissing at randomsingle nucleotide polymorphismsgenotypehaplotypehaplotype frequencyinformatively missingmulti-allelic markerscleroderma data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10)

Uses Software

• HAPLO

Cites Work

• Estimating haplotype frequencies and standard errors for multiple single nucleotide polymorphisms
• The elements of statistical learning. Data mining, inference, and prediction

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