Publication | Open Access
<scp>ml</scp>‐<scp>relate</scp>: a computer program for maximum likelihood estimation of relatedness and relationship
932
Citations
12
References
2006
Year
Maximum Likelihood EstimationSimilarity MeasureGeneticsGenotype DataLinkage AnalysisGenomic SelectionGenomicsGenome-wide Association StudiesStatistical Relational LearningClinical GeneticsGenome-wide Association StudyGenetic AnalysisHuman PhenotypesGenotype-phenotype AssociationBiostatisticsPublic HealthStatisticsUnknown AncestryPedigree AnalysisStatistical GeneticsComputer ProgramGenetic VariationPopulation GeneticsNull AllelesEvolutionary BiologyRelationship ExtractionStatistical InferenceMedicine
Genetic data can estimate genealogical relationships or relatedness among individuals of unknown ancestry. The authors present ml‑relate, a program that computes maximum likelihood estimates of relatedness and relationship. ml‑relate is designed for microsatellite data, accommodates null alleles, and uses simulation to identify relationships consistent with genotype data and compare alternatives. ml‑relate runs on Microsoft Windows and is available at http://www.montana.edu/kalinowski.
Abstract Genetic data are useful for estimating the genealogical relationship or relatedness between individuals of unknown ancestry. We present a computer program, ml ‐ relate that calculates maximum likelihood estimates of relatedness and relationship. ml ‐ relate is designed for microsatellite data and can accommodate null alleles. It uses simulation to determine which relationships are consistent with genotype data and to compare putative relationships with alternatives. ml ‐ relate runs on the Microsoft Windows operating system and is available from http://www.montana.edu/kalinowski .
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