Your browser doesn't support javascript.
loading
Recombulator-X: A fast and user-friendly tool for estimating X chromosome recombination rates in forensic genetics.
Aneli, Serena; Fariselli, Piero; Chierto, Elena; Bini, Carla; Robino, Carlo; Birolo, Giovanni.
Affiliation
  • Aneli S; Department of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy.
  • Fariselli P; Department of Medical Sciences, University of Turin, Turin, Italy.
  • Chierto E; Department of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy.
  • Bini C; Department of Medical and Surgical Sciences, Section of Legal Medicine, University of Bologna, Bologna, Italy.
  • Robino C; Department of Public Health Sciences and Pediatrics, University of Turin, Turin, Italy.
  • Birolo G; S.C. Medicina Legale, AOU Città della Salute e della Scienza, Turin, Italy.
PLoS Comput Biol ; 19(9): e1011474, 2023 Sep.
Article in En | MEDLINE | ID: mdl-37721960
ABSTRACT
Genetic markers (especially short tandem repeats or STRs) located on the X chromosome are a valuable resource to solve complex kinship cases in forensic genetics in addition or alternatively to autosomal STRs. Groups of tightly linked markers are combined into haplotypes, thus increasing the discriminating power of tests. However, this approach requires precise knowledge of the recombination rates between adjacent markers. The International Society of Forensic Genetics recommends that recombination rate estimation on the X chromosome is performed from pedigree genetic data while taking into account the confounding effect of mutations. However, implementations that satisfy these requirements have several drawbacks they were never publicly released, they are very slow and/or need cluster-level hardware and strong computational expertise to use. In order to address these key concerns we developed Recombulator-X, a new open-source Python tool. The most challenging issue, namely the running time, was addressed with dynamic programming techniques to greatly reduce the computational complexity of the algorithm. Compared to the previous methods, Recombulator-X reduces the estimation times from weeks or months to less than one hour for typical datasets. Moreover, the estimation process, including preprocessing, has been streamlined and packaged into a simple command-line tool that can be run on a normal PC. Where previous approaches were limited to small panels of STR markers (up to 15), our tool can handle greater numbers (up to 100) of mixed STR and non-STR markers. In conclusion, Recombulator-X makes the estimation process much simpler, faster and accessible to researchers without a computational background, hopefully spurring increased adoption of best practices.

Full text: 1 Database: MEDLINE Type of study: Guideline Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: Italy

Full text: 1 Database: MEDLINE Type of study: Guideline Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2023 Type: Article Affiliation country: Italy