Literature DB >> 17919196

Worldwide diversity of hair curliness: a new method of assessment.

Geneviève Loussouarn1, Anne-Lise Garcel, Isabelle Lozano, Catherine Collaudin, Crystal Porter, Ségolène Panhard, Didier Saint-Léger, Roland de La Mettrie.   

Abstract

BACKGROUND: For many years, cosmetic scientists have attempted to measure the physical features of human hair, such as its shape and colour, as these can be artificially modified using cosmetic products. With regard to hair shape, previous anthropologic studies have emphasized its variability within and between human ethnic groups. Many studies have broadly distinguished three ethnic human subgroups: African, Asian, and Caucasian. Such a broad classification cannot account for the great complexity of human biological diversity, resulting from multiple, past or recent mixed origins. The verbal description of hair shape ranges from the classic to the more sophisticated, with terms such as straight, wavy, curly, frizzy, kinky, woolly, helical, etc. Although these descriptions evoke a global appearance, they remain confusing as their definitions and limits are unclear. Assessments are therefore required to more accurately define such verbal attributes.
OBJECTIVE: The work reported here attempts to address the following issues: (i) to define hair types according to specific shape criteria through objective and simple measurements; and (ii) to define such hair types without referring to human ethnicity.
METHODS: Measurements of four parameters related to hair curliness (curve diameter, curl index) or kinking of the hair (numbers of waves, numbers of twists) were performed on hair from 2449 subjects from 22 different countries. Principal components analysis and hierarchical ascendant classification were used to identify homogeneous groups of hair and to determine key variables for the assignment of group membership. Finally, a segmentation tree was prepared in order to establish simple rules for predicting group membership of new subjects. RESULTS AND
CONCLUSIONS: This study has shown that it is possible to classify the various hair types found worldwide into eight main groups. The approach involves objective descriptors of hair shape, and is more reliable than traditional methods relying on categories such as curly, wavy, and kinky. Applied to worldwide human diversity, it avoids reference to the putative, unclear ethnic origin of subjects. Briefly, a straight hair type I is just that, and whether it originates from a Caucasian or an Asian subject is not at issue. The hair types defined here also more adequately reflect the large variation of hair shape diversity around the world, and may possibly help to trace past mixed origins amongst human subgroups.

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Year:  2007        PMID: 17919196     DOI: 10.1111/j.1365-4632.2007.03453.x

Source DB:  PubMed          Journal:  Int J Dermatol        ISSN: 0011-9059            Impact factor:   2.736


  18 in total

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Authors:  Jacob A Tennessen; Jennifer Madeoy; Joshua M Akey
Journal:  Genome Res       Date:  2010-08-06       Impact factor: 9.043

2.  Genome-wide scans reveal variants at EDAR predominantly affecting hair straightness in Han Chinese and Uyghur populations.

Authors:  Sijie Wu; Jingze Tan; Yajun Yang; Qianqian Peng; Manfei Zhang; Jinxi Li; Dongsheng Lu; Yu Liu; Haiyi Lou; Qidi Feng; Yan Lu; Yaqun Guan; Zhaoxia Zhang; Yi Jiao; Pardis Sabeti; Jean Krutmann; Kun Tang; Li Jin; Shuhua Xu; Sijia Wang
Journal:  Hum Genet       Date:  2016-08-03       Impact factor: 4.132

3.  Common variants in the trichohyalin gene are associated with straight hair in Europeans.

Authors:  Sarah E Medland; Dale R Nyholt; Jodie N Painter; Brian P McEvoy; Allan F McRae; Gu Zhu; Scott D Gordon; Manuel A R Ferreira; Margaret J Wright; Anjali K Henders; Megan J Campbell; David L Duffy; Narelle K Hansell; Stuart Macgregor; Wendy S Slutske; Andrew C Heath; Grant W Montgomery; Nicholas G Martin
Journal:  Am J Hum Genet       Date:  2009-11-05       Impact factor: 11.025

4.  Loss-of-function desmoplakin I and II mutations underlie dominant arrhythmogenic cardiomyopathy with a hair and skin phenotype.

Authors:  T Maruthappu; A Posafalvi; S Castelletti; P J Delaney; P Syrris; E A O'Toole; K J Green; P M Elliott; P D Lambiase; A Tinker; W J McKenna; D P Kelsell
Journal:  Br J Dermatol       Date:  2019-01-02       Impact factor: 9.302

5.  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

6.  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

7.  Geometric classification of scalp hair for valid drug testing, 6 more reliable than 8 hair curl groups.

Authors:  K Mkentane; J C Van Wyk; N Sishi; F Gumedze; M Ngoepe; L M Davids; N P Khumalo
Journal:  PLoS One       Date:  2017-06-01       Impact factor: 3.240

8.  High-throughput phenotyping methods for quantifying hair fiber morphology.

Authors:  Tina Lasisi; Arslan A Zaidi; Timothy H Webster; Nicholas B Stephens; Kendall Routch; Nina G Jablonski; Mark D Shriver
Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

9.  Measuring Causal Invariance Formally.

Authors:  Pierrick Bourrat
Journal:  Entropy (Basel)       Date:  2021-05-30       Impact factor: 2.524

10.  Comparative Study of a Novel Tool for Follicular Unit Extraction for Individuals with Afro-textured Hair.

Authors:  Sanusi Umar
Journal:  Plast Reconstr Surg Glob Open       Date:  2016-09-27
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