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Estimating recombination rates from single-nucleotide polymorphisms using summary statistics.

Badri Padhukasahasram·Jeffrey D Wall·Paul Marjoram·Magnus Nordborg
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Abstract

We describe a novel method for jointly estimating crossing-over and gene-conversion rates from population genetic data using summary statistics. The performance of our method was tested on simulated data sets and compared with the composite-likelihood method of R. R. Hudson. For several realistic parameter values, the new method performed similarly to the composite-likelihood approach for estimating crossing-over rates and better when estimating gene-conversion rates. We used our method to analyze a human data set recently genotyped by Perlegen Sciences.

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Computer SimulationCrossing Over, GeneticGene ConversionGenetics, PopulationGenome, HumanHaplotypesHumansLikelihood FunctionsModels, GeneticPolymorphism, Single NucleotideRecombination, GeneticSequence Analysis, DNAStatistics as TopicComparative StudyJournal ArticleResearch Support, N.I.H., Extramural

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Badri Padhukasahasram, Jeffrey D Wall, Paul Marjoram, Magnus Nordborg. 2006-09-15. Estimating recombination rates from single-nucleotide polymorphisms using summary statistics.. https://doi.org/10.1534/genetics.106.060723

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