Deriving haplotypes through recombination and gene conversion pathways.
Retracing the trajectories of past genetic events is crucial to understand the structure of the genome, both in individuals and across populations. A haplotype describes a string of polymorphic sites along a DNA segment. Haplotype diversity is due to mutations creating new variants, and to recombinations and gene conversions that mix and redistribute these variants among individual chromosomes in populations. A number of studies have revealed a relatively simple pattern of haplotype diversity in the human genome, dominated by a few common haplotypes representing founder ancestral ones. New haplotypes are usually rare and have a limited geographic distribution. We propose a method to derive a new haplotype from a set of putative ancestral haplotypes, once mutations in place, through minimal recombination and gene conversion pathways. We describe classes of pathways that represent the whole set of minimal pathways leading to a new haplotype. We show that obtaining this set of pathways can be represented as a problem of finding "secondary structures" of minimum energy. We present a polynomial algorithm solving this folding problem.
Département d'informatique et de recherche opérationnelle, Université de Montréal, CP 6128 Succursale Centre-ville, Montréal, QC, H3C 3J7, Canada. mabrouk@iro.umontreal.ca
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el-Mabrouk
D000465:Algorithms; D001483:Base Sequence; D019143:Evolution, Molecular; D005785:Gene Conversion / Q000235:genetics*; D020869:Gene Expression Profiling / Q000379:methods*; D005787:Gene Frequency; D014644:Genetic Variation; D006239:Haplotypes / Q000235:genetics*; D008969:Molecular Sequence Data; D020641:Polymorphism, Single Nucleotide / Q000235:genetics*; D011995:Recombination, Genetic / Q000235:genetics; D016415:Sequence Alignment / Q000379:methods*; D017422:Sequence Analysis, DNA / Q000379:methods*