Skip to main content
padlock icon - secure page this page is secure

Predicting Phenotype from Genotype: Normal Pigmentation

Buy Article:

$52.00 + tax (Refund Policy)

Abstract: 

Genetic information in forensic studies is largely limited to CODIS data and the ability to match samples and assign them to an individual. However, there are circumstances, in which a given DNA sample does not match anyone in the CODIS database, and no other information about the donor is available. In this study, we determined 75 SNPs in 24 genes (previously implicated in human or animal pigmentation studies) for the analysis of single- and multi-locus associations with hair, skin, and eye color in 789 individuals of various ethnic backgrounds. Using multiple linear regression modeling, five SNPs in five genes were found to account for large proportions of pigmentation variation in hair, skin, and eyes in our across-population analyses. Thus, these models may be of predictive value to determine an individual’s pigmentation type from a forensic sample, independent of ethnic origin.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: QTL; forensic science; genetics; human; phenotype; pigmentation

Document Type: Research Article

Affiliations: 1: Department of Pediatrics, College of Medicine, University of Arizona, Tucson, AZ 85724. 2: Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721. 3: Jake Gittlen Cancer Research Foundation, Department of Pathology; Department of Pharmacology; Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA 17033. 4: Department of Chemistry, Fujita Health University School of Health Sciences, Toyoake, Aichi, Japan. 5: DNAPrint Genomics, Inc., Sarasota, FL 34236.

Publication date: March 1, 2010

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more