Characterization of 58 STRs and 94 SNPs with the ForenSeq™ DNA signature prep kit in Mexican-Mestizos from the Monterrey city (Northeast, Mexico)

Aguilar-Velázquez, José Alonso; Duran-Salazar, Miguel Ángel; Córdoba-Mercado, Miranda Fabiola; Coronado-Avila, Carolina Elena; Salas-Salas, Orlando; Martínez-Cortés, Gabriela; Casals, Ferrán; Calafell, Francesc; Ramos-González, Benito; Rangel-Villalobos, Héctor

doi:10.1007/s11033-022-07575-y

Cited by 5 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previously, we reported the forensic parameters of the genetic markers included in the DPS-A of 105 unrelated residents of Monterrey City in the Nuevo Leon state (Northeast, Mexico) [19]. In this study, most of these samples were analyzed with the DPS-B to infer eye and hair color (n = 88).…”

Section: Population Samplementioning

confidence: 99%

See 1 more Smart Citation

Accuracy of Eye and Hair Color Prediction in Mexican Mestizos from Monterrey City Based on ForenSeqTM DNA Signature Prep

Aguilar-Velázquez,

Llamas-de-Dios,

Córdova-Mercado

et al. 2023

Genes

Self Cite

View full text Add to dashboard Cite

Forensic genomic systems allow simultaneously analyzing identity informative (iiSNPs), ancestry informative (aiSNPs), and phenotype informative (piSNPs) genetic markers. Among these kits, the ForenSeq DNA Signature prep (Verogen) analyzes identity STRs and SNPs as well as 24 piSNPs from the HIrisPlex system to predict the hair and eye color. We report herein these 24 piSNPs in 88 samples from Monterrey City (Northeast, Mexico) based on the ForenSeq DNA Signature prep. Phenotypes were predicted by genotype results with both Universal Analysis Software (UAS) and the web tool of the Erasmus Medical Center (EMC). We observed predominantly brown eyes (96.5%) and black hair (75%) phenotypes, whereas blue eyes, and blond and red hair were not observed. Both UAS and EMC showed high performance in eye color prediction (p ≥ 96.6%), but a lower accuracy was observed for hair color prediction. Overall, UAS hair color predictions showed better performance and robustness than those obtained with the EMC web tool (when hair shade is excluded). Although we employed a threshold (p > 70%), we suggest using the EMC enhanced approach to avoid the exclusion of a high number of samples. Finally, although our results are helpful to employ these genomic tools to predict eye color, caution is suggested for hair color prediction in Latin American (admixed) populations such as those studied herein, principally when no black color is predicted.

show abstract

Section: Population Samplementioning

confidence: 99%

“…The DPS-A of this forensic MPS system has been analyzed worldwide [13][14][15][16][17][18][19][20]. Conversely, scarce population studies based on DPS-B have been reported; they are limited to the Norwegian population [21], Yavapai ethnic group [22], and the four major ethnic groups from the USA [23].…”

Section: Introductionmentioning

confidence: 99%