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HairGen

Genetics of human hair form diversity

Total Cost €

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EC-Contrib. €

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Partnership

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Project "HairGen" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF EDINBURGH 

Organization address
address: OLD COLLEGE, SOUTH BRIDGE
city: EDINBURGH
postcode: EH8 9YL
website: www.ed.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2016
 Duration (year-month-day) from 2016-09-01   to  2018-09-25

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF EDINBURGH UK (EDINBURGH) coordinator 195˙454.00

Map

 Project objective

One of the key challenges in human genetics is to understand the genetic architecture of phenotypic traits. Hair comprises a distinct part of one’s physical identity and its form varies across and within populations. Despite the significant progress made by genome-wide association studies (GWAS), much of the human hair variation remains unexplained. Therefore, a comprehensive study focused on uncovering genetic determinants of human hair form is needed. The aims of the present project are three fold. First, to use self-reported hair forms as a paradigm to perform in-depth macroscopic and microscopic analyses focusing on hair dimensions that may vary across major hair forms. Additionally, curliness of hair samples will be quantified. Second, to perform a genome-wide association study to identify loci underlying contemporary variation in hair form. To this end, we have hair samples from ~2,700 participants collected from a diverse set of populations and genotypes for >600,000 SNPs. Third, to select the most promising of the identified variants for functional analysis and use the cutting-edge technology of CRISPR/cas9 genome editing in mice to evaluate the hair phenotypes. This will be further complemented with assessment of their skin via histological methods to study the structural and developmental changes associated with the variants. The project will help to refine the available methods for classification of hair form and identify some of the genes underlying variation in hair form. Most importantly, HairGen will use the novel approach of genome editing in mice to investigate the functional role of the variant, thereby contributing to broader knowledge in the field. This proposal brings together a fellow with relevant background in study of phenotypic trait together with leading experts in the field of anthropology, molecular genetics, and phenotype modeling.

 Publications

year authors and title journal last update
List of publications.
2018 Rakesh Tamang, Gyaneshwer Chaubey, Amrita Nandan, Periyasamy Govindaraj, Vipin Kumar Singh, Niraj Rai, Chandana Basu Mallick, Vishwas Sharma, Varun Kumar Sharma, Anish M. Shah, Albert Lalremruata, Alla G. Reddy, Deepa Selvi Rani, Pilot Doviah, Neetu Negi, Yarin Hadid, Veena Pande, Satti Vishnupriya, George van Driem, Doron M. Behar, Tikaram Sharma, Lalji Singh, Richard Villems, Kumarasamy Thangaraj
Reconstructing the demographic history of the Himalayan and adjoining populations
published pages: 129-139, ISSN: 0340-6717, DOI: 10.1007/s00439-018-1867-2
Human Genetics 137/2 2019-03-20
2018 Florin Mircea Iliescu, George Chaplin, Niraj Rai, Guy S. Jacobs, Chandana Basu Mallick, Anshuman Mishra, Kumarasamy Thangaraj, Nina G. Jablonski
The influences of genes, the environment, and social factors on the evolution of skin color diversity in India
published pages: e23170, ISSN: 1042-0533, DOI: 10.1002/ajhb.23170
American Journal of Human Biology 30/5 2019-03-20
2017 Anshuman Mishra, Sheikh Nizammuddin, Chandana Basu Mallick, Sakshi Singh, Satya Prakash, Niyamat Ali Siddiqui, Niraj Rai, S. Justin Carlus, Digumarthi V.S. Sudhakar, Vishnu P. Tripathi, Märt Möls, Xana Kim-Howard, Hemlata Dewangan, Abhishek Mishra, Alla G. Reddy, Biswajit Roy, Krishna Pandey, Gyaneshwer Chaubey, Pradeep Das, Swapan K. Nath, Lalji Singh, Kumarasamy Thangaraj
Genotype-Phenotype Study of the Middle Gangetic Plain in India Shows Association of rs2470102 with Skin Pigmentation
published pages: 670-677, ISSN: 0022-202X, DOI: 10.1016/j.jid.2016.10.043
Journal of Investigative Dermatology 137/3 2019-03-20

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The information about "HAIRGEN" are provided by the European Opendata Portal: CORDIS opendata.

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