Title
A new method to reconstruct recombination events at a genomic scale.
Abstract
Recombination is one of the main forces shaping genome diversity, but the information it generates is often overlooked. A recombination event creates a junction between two parental sequences that may be transmitted to the subsequent generations. Just like mutations, these junctions carry evidence of the shared past of the sequences. We present the IRiS algorithm, which detects past recombination events from extant sequences and specifies the place of each recombination and which are the recombinants sequences. We have validated and calibrated IRiS for the human genome using coalescent simulations replicating standard human demographic history and a variable recombination rate model, and we have fine-tuned IRiS parameters to simultaneously optimize for false discovery rate, sensitivity, and accuracy in placing the recombination events in the sequence. Newer recombinations overwrite traces of past ones and our results indicate more recent recombinations are detected by IRiS with greater sensitivity. IRiS analysis of the MS32 region, previously studied using sperm typing, showed good concordance with estimated recombination rates. We also applied IRiS to haplotypes for 18 X-chromosome regions in HapMap Phase 3 populations. Recombination events detected for each individual were recoded as binary allelic states and combined into recotypes. Principal component analysis and multidimensional scaling based on recotypes reproduced the relationships between the eleven HapMap Phase III populations that can be expected from known human population history, thus further validating IRiS. We believe that our new method will contribute to the study of the distribution of recombination events across the genomes and, for the first time, it will allow the use of recombination as genetic marker to study human genetic variation.
Year
DOI
Venue
2010
10.1371/journal.pcbi.1001010
PLOS COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
dna recombination,genetic marker,homologous recombination,genotyping,population genetics,multidimensional scaling,x chromosome,human genetics,human genome,principal component analysis,false discovery rate,x chromosomes,demographic history,haplotypes
Population,Coalescent theory,Recombination,Biology,International HapMap Project,Genomics,Homologous recombination,Population genetics,Human genome,Bioinformatics,Genetics
Journal
Volume
Issue
ISSN
6
11
1553-7358
Citations 
PageRank 
References 
4
0.55
4
Authors
7
Name
Order
Citations
PageRank
Melé Marta1433.61
Asif Javed2864.83
Marc Pybus3232.96
Francesc Calafell4465.06
Laxmi Parida577377.21
Bertranpetit Jaume6647.01
null null76391656.33