title: Analysis of human meiotic recombination events with a parent-sibling tracing approach.
abstract: BACKGROUND
  Meiotic recombination ensures that each child inherits distinct genetic materials from each parent, but the distribution of crossovers along meiotic chromosomes remains difficult to identify. In this study, we developed a parent-sibling tracing (PST) approach from previously reported methods to identify meiotic crossover sites of GEO GSE6754 data set. This approach requires only the single nucleotide polymorphism (SNP) data of the pedigrees of both parents and at least two of children.
  
  
  RESULTS
  Compared to other SNP-based algorithms (identity by descent or pediSNP), fewer uninformative SNPs were derived with the use of PST. Analysis of a GEO GSE6754 data set containing 2,145 maternal and paternal meiotic events revealed that the pattern and distribution of paternal and maternal recombination sites vary along the chromosomes. Lower crossover rates near the centromeres were more prominent in males than in females. Based on analysis of repetitive sequences, we also showed that recombination hotspots are positively correlated with SINE/MIR repetitive elements and negatively correlated with LINE/L1 elements. The number of meiotic recombination events was positively correlated with the number of shorter tandem repeat sequences.
  
  
  CONCLUSIONS
  The advantages of the PST approach include the ability to use only two-generation pedigrees with two siblings and the ability to perform gender-specific analyses of repetitive elements and tandem repeat sequences while including fewer uninformative SNP regions in the results.
authors.affiliation: Department of Biotechnology, Ming Chuan University, Tao-Yuan, Taiwan.
authors.forename: Yun-Shien
authors.initials: YS
authors.lastname: Lee
authors.forename: Angel
authors.initials: A
authors.lastname: Chao
authors.forename: Chun-Houh
authors.initials: CH
authors.lastname: Chen
authors.forename: Tina
authors.initials: T
authors.lastname: Chou
authors.forename: Shih-Yee Mimi
authors.initials: SY
authors.lastname: Wang
authors.forename: Tzu-Hao
authors.initials: TH
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D002503:Centromere / Q000235:genetics; D003434:Crossing Over, Genetic; D005260:Female; D015894:Genome, Human; D023281:Genomics / Q000379:methods; D006801:Humans; D020084:Long Interspersed Nucleotide Elements; D008297:Male; D008540:Meiosis; D010375:Pedigree; D020641:Polymorphism, Single Nucleotide; D020086:Short Interspersed Nucleotide Elements; D020080:Tandem Repeat Sequences