Effect of Type of Degraded DNA Samples on Human Eye Color Prediction

Creative Commons License

Devranoğlu D., Tavacı İ., Filoğlu Tüfek G., Bülbül Ercan Ö.

Pakistan Journal Of Zoology, ss.1-9, 2020 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2020
  • Dergi Adı: Pakistan Journal Of Zoology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, Animal Behavior Abstracts, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Environment Index, Geobase, Veterinary Science Database
  • Sayfa Sayıları: ss.1-9
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

Single nucleotide polymorphisms (SNPs) are the most abundant genetic markers in the human genome.

SNPs are used in forensics for predicting the externally visible characteristics of a given individual

based on a sample of DNA alone. In this study, we tested degraded DNA samples to determine the eye

color prediction accuracy of the IrisPlex system. We used five years old bloodstains and UVC exposed

(30 and 60 min) DNA samples. PCR and electrophoresis were performed. The multinomial logistic

regression model statistics is applied for eye color prediction. We observed allele and locus drop-outs on

both bloodstains stored for five years and UVC exposed samples. The brown and blue eye colors were

correctly predicted for reference and degraded samples. The intermediate eye colors were predicted to be

brown or inconclusive. The degradation by aging bloodstains or UVC exposure, is differently affected the

prediction accuracy depending on the informativeness of the SNPs. This study showed that the prediction

of the eye color is highly accurate for the blue and brown eye colored individuals. However, the IrisPlex

prediction accuracy could be influenced by the old and degraded samples.