DOI QR코드

DOI QR Code

Allelic Frequencies of 20 Visible Phenotype Variants in the Korean Population

  • Lim, Ji Eun (Department of Biomedical Engineering, Kyung Hee University School of Medicine) ;
  • Oh, Bermseok (Department of Biomedical Engineering, Kyung Hee University School of Medicine)
  • Received : 2013.02.19
  • Accepted : 2013.05.23
  • Published : 2013.06.30

Abstract

The prediction of externally visible characteristics from DNA has been studied for forensic genetics over the last few years. Externally visible characteristics include hair, skin, and eye color, height, and facial morphology, which have high heritability. Recent studies using genome-wide association analysis have identified genes and variations that correlate with human visible phenotypes and developed phenotype prediction programs. However, most prediction models were constructed and validated based on genotype and phenotype information on Europeans. Therefore, we need to validate prediction models in diverse ethnic populations. In this study, we selected potentially useful variations for forensic science that are associated with hair and eye color, iris pattern, and facial morphology, based on previous studies, and analyzed their frequencies in 1,920 Koreans. Among 20 single nucleotide polymorphisms (SNPs), 10 SNPs were polymorphic, 6 SNPs were very rare (minor allele frequency < 0.005), and 4 SNPs were monomorphic in the Korean population. Even though the usability of these SNPs should be verified by an association study in Koreans, this study provides 10 potential SNP markers for forensic science for externally visible characteristics in the Korean population.

Keywords

References

  1. Jobling MA, Gill P. Encoded evidence: DNA in forensic analysis. Nat Rev Genet 2004;5:739-751.
  2. Dixon LA, Murray CM, Archer EJ, Dobbins AE, Koumi P, Gill P. Validation of a 21-locus autosomal SNP multiplex for forensic identification purposes. Forensic Sci Int 2005;154:62-77. https://doi.org/10.1016/j.forsciint.2004.12.011
  3. Sanchez JJ, Phillips C, Børsting C, Balogh K, Bogus M, Fondevila M, et al. A multiplex assay with 52 single nucleotide polymorphisms for human identification. Electrophoresis 2006; 27:1713-1724. https://doi.org/10.1002/elps.200500671
  4. Budowle B, van Daal A. Forensically relevant SNP classes. Biotechniques 2008;44:603-608, 610.
  5. Kayser M, de Knijff P. Improving human forensics through advances in genetics, genomics and molecular biology. Nat Rev Genet 2011;12:179-192. https://doi.org/10.1038/nrg2952
  6. Tully G. Genotype versus phenotype: human pigmentation. Forensic Sci Int Genet 2007;1:105-110. https://doi.org/10.1016/j.fsigen.2007.01.005
  7. Kayser M, Schneider PM. DNA-based prediction of human externally visible characteristics in forensics: motivations, scientific challenges, and ethical considerations. Forensic Sci Int Genet 2009;3:154-161. https://doi.org/10.1016/j.fsigen.2009.01.012
  8. Silventoinen K, Sammalisto S, Perola M, Boomsma DI, Cornes BK, Davis C, et al. Heritability of adult body height: a comparative study of twin cohorts in eight countries. Twin Res 2003;6:399-408. https://doi.org/10.1375/136905203770326402
  9. Clark P, Stark AE, Walsh RJ, Jardine R, Martin NG. A twin study of skin reflectance. Ann Hum Biol 1981;8:529-541. https://doi.org/10.1080/03014468100005371
  10. Sulem P, Gudbjartsson DF, Stacey SN, Helgason A, Rafnar T, Magnusson KP, et al. Genetic determinants of hair, eye and skin pigmentation in Europeans. Nat Genet 2007;39:1443- 1452. https://doi.org/10.1038/ng.2007.13
  11. Branicki W, Brudnik U, Kupiec T, Wolañska-Nowak P, Wojas-Pelc A. Determination of phenotype associated SNPs in the MC1R gene. J Forensic Sci 2007;52:349-354. https://doi.org/10.1111/j.1556-4029.2006.00361.x
  12. Grimes EA, Noake PJ, Dixon L, Urquhart A. Sequence polymorphism in the human melanocortin 1 receptor gene as an indicator of the red hair phenotype. Forensic Sci Int 2001; 122:124-129. https://doi.org/10.1016/S0379-0738(01)00480-7
  13. Eiberg H, Troelsen J, Nielsen M, Mikkelsen A, Mengel-From J, Kjaer KW, et al. Blue eye color in humans may be caused by a perfectly associated founder mutation in a regulatory element located within the HERC2 gene inhibiting OCA2 expression. Hum Genet 2008;123:177-187. https://doi.org/10.1007/s00439-007-0460-x
  14. Sturm RA, Duffy DL, Zhao ZZ, Leite FP, Stark MS, Hayward NK, et al. A single SNP in an evolutionary conserved region within intron 86 of the HERC2 gene determines human blue-brown eye color. Am J Hum Genet 2008;82:424-431. https://doi.org/10.1016/j.ajhg.2007.11.005
  15. Sturm RA. Molecular genetics of human pigmentation diversity. Hum Mol Genet 2009;18:R9-R17. https://doi.org/10.1093/hmg/ddp003
  16. Spichenok O, Budimlija ZM, Mitchell AA, Jenny A, Kovacevic L, Marjanovic D, et al. Prediction of eye and skin color in diverse populations using seven SNPs. Forensic Sci Int Genet 2011;5:472-478. https://doi.org/10.1016/j.fsigen.2010.10.005
  17. Walsh S, Liu F, Ballantyne KN, van Oven M, Lao O, Kayser M. IrisPlex: a sensitive DNA tool for accurate prediction of blue and brown eye colour in the absence of ancestry information. Forensic Sci Int Genet 2011;5:170-180. https://doi.org/10.1016/j.fsigen.2010.02.004
  18. Pneuman A, Budimlija ZM, Caragine T, Prinz M, Wurmbach E. Verification of eye and skin color predictors in various populations. Leg Med (Tokyo) 2012;14:78-83. https://doi.org/10.1016/j.legalmed.2011.12.005
  19. Walsh S, Liu F, Wollstein A, Kovatsi L, Ralf A, Kosiniak- Kamysz A, et al. The HIrisPlex system for simultaneous prediction of hair and eye colour from DNA. Forensic Sci Int Genet 2013;7:98-115. https://doi.org/10.1016/j.fsigen.2012.07.005
  20. Stokowski RP, Pant PV, Dadd T, Fereday A, Hinds DA, Jarman C, et al. A genome-wide association study of skin pigmentation in a South Asian population. Am J Hum Genet 2007;81:1119-1132. https://doi.org/10.1086/522235
  21. Edwards M, Bigham A, Tan J, Li S, Gozdzik A, Ross K, et al. Association of the OCA2 polymorphism His615Arg with melanin content in east Asian populations: further evidence of convergent evolution of skin pigmentation. PLoS Genet 2010; 6:e1000867. https://doi.org/10.1371/journal.pgen.1000867
  22. Cho YS, Go MJ, Kim YJ, Heo JY, Oh JH, Ban HJ, et al. A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits. Nat Genet 2009;41:527-534. https://doi.org/10.1038/ng.357
  23. Hindorff LA, Sethupathy P, Junkins HA, Ramos EM, Mehta JP, Collins FS, et al. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci U S A 2009;106:9362-9367. https://doi.org/10.1073/pnas.0903103106
  24. Sulem P, Gudbjartsson DF, Stacey SN, Helgason A, Rafnar T, Jakobsdottir M, et al. Two newly identified genetic determinants of pigmentation in Europeans. Nat Genet 2008;40: 835-837. https://doi.org/10.1038/ng.160
  25. Han J, Kraft P, Nan H, Guo Q, Chen C, Qureshi A, et al. A genome- wide association study identifies novel alleles associated with hair color and skin pigmentation. PLoS Genet 2008;4:e1000074. https://doi.org/10.1371/journal.pgen.1000074
  26. Kayser M, Liu F, Janssens AC, Rivadeneira F, Lao O, van Duijn K, et al. Three genome-wide association studies and a linkage analysis identify HERC2 as a human iris color gene. Am J Hum Genet 2008;82:411-423. https://doi.org/10.1016/j.ajhg.2007.10.003
  27. Eriksson N, Macpherson JM, Tung JY, Hon LS, Naughton B, Saxonov S, et al. Web-based, participant-driven studies yield novel genetic associations for common traits. PLoS Genet 2010;6:e1000993. https://doi.org/10.1371/journal.pgen.1000993
  28. Liu F, Wollstein A, Hysi PG, Ankra-Badu GA, Spector TD, Park D, et al. Digital quantification of human eye color highlights genetic association of three new loci. PLoS Genet 2010; 6:e1000934. https://doi.org/10.1371/journal.pgen.1000934
  29. Larsson M, Duffy DL, Zhu G, Liu JZ, Macgregor S, McRae AF, et al. GWAS findings for human iris patterns: associations with variants in genes that influence normal neuronal pattern development. Am J Hum Genet 2011;89:334-343. https://doi.org/10.1016/j.ajhg.2011.07.011
  30. Kenny EE, Timpson NJ, Sikora M, Yee MC, Moreno-Estrada A, Eng C, et al. Melanesian blond hair is caused by an amino acid change in TYRP1. Science 2012;336:554. https://doi.org/10.1126/science.1217849
  31. Paternoster L, Zhurov AI, Toma AM, Kemp JP, St Pourcain B, Timpson NJ, et al. Genome-wide association study of three-dimensional facial morphology identifies a variant in PAX3 associated with nasion position. Am J Hum Genet 2012;90:478-485. https://doi.org/10.1016/j.ajhg.2011.12.021
  32. Oliphant A, Barker DL, Stuelpnagel JR, Chee MS. BeadArray technology: enabling an accurate, cost-effective approach to high-throughput genotyping. Biotechniques 2002;Suppl:56-58, 60-61.
  33. Kim JH, Jin HY. The study of chromaticity analysis for body color Korea women in 20's. J Korean Soc Cosmetol 2011;17: 40-48.

Cited by

  1. Relevance Epistasis Network of Gastritis for Intra-chromosomes in the Korea Associated Resource (KARE) Cohort Study vol.12, pp.4, 2014, https://doi.org/10.5808/GI.2014.12.4.216
  2. Forensic DNA Phenotyping: A Review in Korean Perspective vol.41, pp.2, 2017, https://doi.org/10.7580/kjlm.2017.41.2.23
  3. Genetic and phenotypic variability of iris color in Buenos Aires population vol.41, pp.1, 2018, https://doi.org/10.1590/1678-4685-gmb-2017-0175