Article
Predicting haplogroups using a versatile machine learning program (PredYMaLe) on a new mutationally balanced 32 Y-STR multiplex (CombYplex): Unlocking the full potential of the human STR mutation rate spectrum to estimate forensic parameters.
Forensic science international. Genetics - 1 Sept 2020
Bouakaze Caroline, Delehelle Franklin, Saenz-Oyhéréguy Nancy, Moreira Andreia, Schiavinato Stéphanie, Croze Myriam, Delon Solène, Fortes-Lima Cesar, Gibert Morgane, Bujan Louis, Huyghe Eric, Bellis Gil, Calderon Rosario, Hernández Candela Lucia, Avendaño-Tamayo Efren, Bedoya Gabriel, Salas Antonio, Mazières Stéphane, Charioni Jacques, Migot-Nabias Florence, Ruiz-Linares Andres, Dugoujon Jean-Michel, Thèves Catherine, Mollereau-Manaute Catherine, Noûs Camille, Poulet Nicolas, King Turi, D'Amato Maria Eugenia, Balaresque Patricia
Abstract excerpt
We developed a new mutationally well-balanced 32 Y-STR multiplex (CombYplex) together with a machine learning (ML) program PredYMaLe to assess the impact of STR mutability on haplogourp prediction, while respecting forensic community criteria (high DC/HD). We designed CombYplex around two sub-panels M1 and M2 characterized by average and high-mutation STR panels. Using these two sub-panels, we tested how our...
Topics
- Chromosomes, Human, Y
- DNA Fingerprinting
- Forensic Genetics
- Haplotypes
- Humans
- Machine Learning