Literature DB >> 23843775

Allelic frequencies of 20 visible phenotype variants in the korean population.

Ji Eun Lim1, Bermseok Oh.   

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.

Entities:  

Keywords:  Korean; eye color; gene frequency; hair color; single nucleotide polymorphism

Year:  2013        PMID: 23843775      PMCID: PMC3704932          DOI: 10.5808/GI.2013.11.2.93

Source DB:  PubMed          Journal:  Genomics Inform        ISSN: 1598-866X


  32 in total

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2.  Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.

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3.  Sequence polymorphism in the human melanocortin 1 receptor gene as an indicator of the red hair phenotype.

Authors:  E A Grimes; P J Noake; L Dixon; A Urquhart
Journal:  Forensic Sci Int       Date:  2001-11-01       Impact factor: 2.395

4.  Genetic determinants of hair, eye and skin pigmentation in Europeans.

Authors:  Patrick Sulem; Daniel F Gudbjartsson; Simon N Stacey; Agnar Helgason; Thorunn Rafnar; Kristinn P Magnusson; Andrei Manolescu; Ari Karason; Arnar Palsson; Gudmar Thorleifsson; Margret Jakobsdottir; Stacy Steinberg; Snaebjörn Pálsson; Fridbert Jonasson; Bardur Sigurgeirsson; Kristin Thorisdottir; Rafn Ragnarsson; Kristrun R Benediktsdottir; Katja K Aben; Lambertus A Kiemeney; Jon H Olafsson; Jeffrey Gulcher; Augie Kong; Unnur Thorsteinsdottir; Kari Stefansson
Journal:  Nat Genet       Date:  2007-10-21       Impact factor: 38.330

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Journal:  PLoS Genet       Date:  2010-03-05       Impact factor: 5.917

Review 7.  Forensically relevant SNP classes.

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Journal:  Biotechniques       Date:  2008-04       Impact factor: 1.993

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Journal:  Am J Hum Genet       Date:  2008-01-24       Impact factor: 11.025

9.  Genome-wide association study of three-dimensional facial morphology identifies a variant in PAX3 associated with nasion position.

Authors:  Lavinia Paternoster; Alexei I Zhurov; Arshed M Toma; John P Kemp; Beate St Pourcain; Nicholas J Timpson; George McMahon; Wendy McArdle; Susan M Ring; George Davey Smith; Stephen Richmond; David M Evans
Journal:  Am J Hum Genet       Date:  2012-02-16       Impact factor: 11.025

10.  A genome-wide association study identifies novel alleles associated with hair color and skin pigmentation.

Authors:  Jiali Han; Peter Kraft; Hongmei Nan; Qun Guo; Constance Chen; Abrar Qureshi; Susan E Hankinson; Frank B Hu; David L Duffy; Zhen Zhen Zhao; Nicholas G Martin; Grant W Montgomery; Nicholas K Hayward; Gilles Thomas; Robert N Hoover; Stephen Chanock; David J Hunter
Journal:  PLoS Genet       Date:  2008-05-16       Impact factor: 5.917

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  2 in total

1.  Relevance Epistasis Network of Gastritis for Intra-chromosomes in the Korea Associated Resource (KARE) Cohort Study.

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Journal:  Genomics Inform       Date:  2014-12-31

2.  Genetic and phenotypic variability of iris color in Buenos Aires population.

Authors:  Diana María Hohl; Brenda Bezus; Julia Ratowiecki; Cecilia Inés Catanesi
Journal:  Genet Mol Biol       Date:  2018 Jan-Mar       Impact factor: 1.771

  2 in total

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