Literature DB >> 26414620

Evaluation of the predictive capacity of DNA variants associated with straight hair in Europeans.

Ewelina Pośpiech1, Joanna Karłowska-Pik2, Magdalena Marcińska3, Sarah Abidi4, Jeppe Dyrberg Andersen5, Margreet van den Berge6, Ángel Carracedo7, Mayra Eduardoff8, Ana Freire-Aradas9, Niels Morling5, Titia Sijen6, Małgorzata Skowron10, Jens Söchtig9, Denise Syndercombe-Court4, Natalie Weiler6, Peter M Schneider11, David Ballard4, Claus Børsting5, Walther Parson12, Chris Phillips9, Wojciech Branicki13.   

Abstract

DNA-based prediction of hair morphology, defined as straight, curly or wavy hair, could contribute to an improved description of an unknown offender and allow more accurate forensic reconstructions of physical appearance in the field of forensic DNA phenotyping. Differences in scalp hair morphology are significant at the worldwide scale and within Europe. The only genome-wide association study made to date revealed the Trichohyalin gene (TCHH) to be significantly associated with hair morphology in Europeans and reported weaker associations for WNT10A and FRAS1 genes. We conducted a study that centered on six SNPs located in these three genes with a sample of 528 individuals from Poland. The predictive capacity of the candidate DNA variants was evaluated using logistic regression; classification and regression trees; and neural networks, by applying a 10-fold cross validation procedure. Additionally, an independent test set of 142 males from six European populations was used to verify performance of the developed prediction models. Our study confirmed association of rs11803731 (TCHH), rs7349332 (WNT10A) and rs1268789 (FRAS1) SNPs with hair morphology. The combined genotype risk score for straight hair had an odds ratio of 2.7 and these predictors explained ∼ 8.2% of the total variance. The selected three SNPs were found to predict straight hair with a high sensitivity but low specificity when a 10-fold cross validation procedure was applied and the best results were obtained using the neural networks approach (AUC=0.688, sensitivity=91.2%, specificity=23.0%). Application of the neural networks model with 65% probability threshold on an additional test set gave high sensitivity (81.4%) and improved specificity (50.0%) with a total of 78.7% correct calls, but a high non-classification rate (66.9%). The combined TTGGGG SNP genotype for rs11803731, rs7349332, rs1268789 (European frequency=4.5%) of all six straight hair-associated alleles was identified as the best predictor, giving >80% probability of straight hair. Finally, association testing of 44 SNPs previously identified to be associated with male pattern baldness revealed a suggestive association with hair morphology for rs4679955 on 3q25.1. The study results reported provide the starting point for the development of a predictive test for hair morphology in Europeans. More studies are now needed to discover additional determinants of hair morphology to improve the predictive accuracy of this trait in forensic analysis.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  FRAS1; Forensic DNA phenotyping (FDP); Hair morphology; Neural networks; TCHH; WNT10A

Mesh:

Substances:

Year:  2015        PMID: 26414620     DOI: 10.1016/j.fsigen.2015.09.004

Source DB:  PubMed          Journal:  Forensic Sci Int Genet        ISSN: 1872-4973            Impact factor:   4.882


  8 in total

1.  DNA-based eyelid trait prediction in Chinese Han population.

Authors:  Qian Wang; Bo Jin; Fan Liu; Zhilong Li; Yu Tan; Weibo Liang; Feijun Huang
Journal:  Int J Legal Med       Date:  2021-05-10       Impact factor: 2.686

2.  VolcanoFinder: Genomic scans for adaptive introgression.

Authors:  Derek Setter; Sylvain Mousset; Xiaoheng Cheng; Rasmus Nielsen; Michael DeGiorgio; Joachim Hermisson
Journal:  PLoS Genet       Date:  2020-06-18       Impact factor: 6.020

3.  A genome-wide association scan in admixed Latin Americans identifies loci influencing facial and scalp hair features.

Authors:  Kaustubh Adhikari; Tania Fontanil; Santiago Cal; Javier Mendoza-Revilla; Macarena Fuentes-Guajardo; Juan-Camilo Chacón-Duque; Farah Al-Saadi; Jeanette A Johansson; Mirsha Quinto-Sanchez; Victor Acuña-Alonzo; Claudia Jaramillo; William Arias; Rodrigo Barquera Lozano; Gastón Macín Pérez; Jorge Gómez-Valdés; Hugo Villamil-Ramírez; Tábita Hunemeier; Virginia Ramallo; Caio C Silva de Cerqueira; Malena Hurtado; Valeria Villegas; Vanessa Granja; Carla Gallo; Giovanni Poletti; Lavinia Schuler-Faccini; Francisco M Salzano; Maria-Cátira Bortolini; Samuel Canizales-Quinteros; Francisco Rothhammer; Gabriel Bedoya; Rolando Gonzalez-José; Denis Headon; Carlos López-Otín; Desmond J Tobin; David Balding; Andrés Ruiz-Linares
Journal:  Nat Commun       Date:  2016-03-01       Impact factor: 14.919

4.  Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair.

Authors:  Fan Liu; Yan Chen; Gu Zhu; Pirro G Hysi; Sijie Wu; Kaustubh Adhikari; Krystal Breslin; Ewelina Pospiech; Merel A Hamer; Fuduan Peng; Charanya Muralidharan; Victor Acuna-Alonzo; Samuel Canizales-Quinteros; Gabriel Bedoya; Carla Gallo; Giovanni Poletti; Francisco Rothhammer; Maria Catira Bortolini; Rolando Gonzalez-Jose; Changqing Zeng; Shuhua Xu; Li Jin; André G Uitterlinden; M Arfan Ikram; Cornelia M van Duijn; Tamar Nijsten; Susan Walsh; Wojciech Branicki; Sijia Wang; Andrés Ruiz-Linares; Timothy D Spector; Nicholas G Martin; Sarah E Medland; Manfred Kayser
Journal:  Hum Mol Genet       Date:  2018-02-01       Impact factor: 6.150

5.  Further evidence for population specific differences in the effect of DNA markers and gender on eye colour prediction in forensics.

Authors:  Ewelina Pośpiech; Joanna Karłowska-Pik; Bartosz Ziemkiewicz; Magdalena Kukla; Małgorzata Skowron; Anna Wojas-Pelc; Wojciech Branicki
Journal:  Int J Legal Med       Date:  2016-05-24       Impact factor: 2.686

Review 6.  Deimination and Peptidylarginine Deiminases in Skin Physiology and Diseases.

Authors:  Marie-Claire Méchin; Hidenari Takahara; Michel Simon
Journal:  Int J Mol Sci       Date:  2020-01-15       Impact factor: 5.923

7.  Exploring the possibility of predicting human head hair greying from DNA using whole-exome and targeted NGS data.

Authors:  Ewelina Pośpiech; Magdalena Kukla-Bartoszek; Joanna Karłowska-Pik; Piotr Zieliński; Anna Woźniak; Michał Boroń; Michał Dąbrowski; Magdalena Zubańska; Agata Jarosz; Tomasz Grzybowski; Rafał Płoski; Magdalena Spólnicka; Wojciech Branicki
Journal:  BMC Genomics       Date:  2020-08-05       Impact factor: 3.969

Review 8.  Predicting Physical Appearance from DNA Data-Towards Genomic Solutions.

Authors:  Ewelina Pośpiech; Paweł Teisseyre; Jan Mielniczuk; Wojciech Branicki
Journal:  Genes (Basel)       Date:  2022-01-10       Impact factor: 4.096

  8 in total

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