Evaluation of RMplex system for differentiating father-son pairs using Y-STRs in a Korean population.

Y-chromosomal short tandem repeats (Y-STRs) at rapidly mutating (RM) loci have been suggested as tools for differentiating paternally related males. RMplex is a recently developed system that incorporates 26 RM loci and four fast-mutating (FM) loci, targeting 44 male-specific loci. Here, we evaluated the RMplex by estimating Y-STR mutation rates and the overall differentiation rates for 542 Korean father-son pairs, as well as the genetic population values for 409 unrelated males.

Considerations on expanding criminal offender DNA databases with Y-STR profiles.

Although national criminal offender DNA databases (NCODDs) including autosomal short tandem repeats (STRs) have been a successful tool to identify criminals for decades in many countries, yet there are many criminal cases they cannot solve. In cases with mixed male-female samples, particularly sexual assault, expanding NCODDs with Y-chromosomal STR (Y-STR) profiles allows database matching in the absence of autosomal STR profiles. Although Y-STR matches are not individual-specific, this can be largely overcome with rapidly mutating Y-STRs (RM Y-STR) allowing separation of paternally related men.

Male Pedigree Toolbox: A Versatile Software for Y-STR Data Analyses.

Y-chromosomal short tandem repeats (Y-STRs) are widely used in forensic, genealogical, and population genetics. With the recent increase in the number of rapidly mutating (RM) Y-STRs, an unprecedented level of male differentiation can be achieved, widening and improving the applications of Y-STRs in various fields, including forensics. The growing complexity of Y-STR data increases the need for automated data analyses, but dedicated software tools are scarce.

SMapper: visualizing spatial prevalence data of all types, including sparse and incomplete datasets.

Motivation: We introduce SMapper, a novel web and software tool for visualizing spatial prevalence data of all types including those suffering from incomplete geographic coverage and insufficient sample sizes. We demonstrate the benefits of our tool in overcoming interpretational issues with existing tools caused by such data limitations. We exemplify the use of SMapper by applications to human genotype and phenotype data relevant in an epidemiological, anthropological and forensic context.