Bayesian pedigree inference with small numbers of single nucleotide polymorphisms via a factor-graph representation

DOI10.1016/j.tpb.2015.09.005zbMath1343.92333OpenAlexW1744272320WikidataQ40450425 ScholiaQ40450425MaRDI QIDQ304447

Eric C. Anderson, Thomas C. Ng

Publication date: 25 August 2016

Published in: Theoretical Population Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tpb.2015.09.005

zbMATH Keywords

full-sibling reconstructionmultigeneration pedigree inferencerelationship inferencesum-product algorithm

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Problems related to evolution (92D15) Genetics and epigenetics (92D10)

Related Items (1)

The 2018 Marcus W. Feldman prize in theoretical population biology

Uses Software

• PLINK
• LibDAI
• Rcpp
• BayesDA
• FRANz

Cites Work

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• Improved maximum likelihood reconstruction of complex multi-generational pedigrees
• Pólya-like urns and the Ewens' sampling formula
• A simulated annealing algorithm for maximum likelihood pedigree reconstruction
• Partition-distance: A problem and class of perfect graphs arising in clustering
• Efficient maximum likelihood pedigree reconstruction
• Graphical models for genetic analyses
• On the choice of prior density for the Bayesian analysis of pedigree structure
• The sampling theory of selectively neutral alleles
• Application of Maximum Likelihood Methods to Population Genetic Data for the Estimation of Individual Fertilities
• Factor graphs and the sum-product algorithm
• On the Application of Markov Chain Monte Carlo Methods to Genetic Analyses on Complex Pedigrees
• Monte Carlo sampling methods using Markov chains and their applications

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