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HairGen

Genetics of human hair form diversity

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

HairGen project word cloud

Explore the words cloud of the HairGen project. It provides you a very rough idea of what is the project "HairGen" about.

experts editing quantified 600 diverse forms variant determinants mice association molecular identity phenotypic snps modeling samples perform physical cas9 human architecture vary loci 2 form progress microscopic underlying first made self phenotype one histological genetics collected skin macroscopic edge genotypes developmental fellow hairgen variation variants select fold reported gt phenotypes contemporary hair unexplained despite populations crispr background cutting curliness trait complemented understand additionally gwas varies 700 uncovering structural paradigm refine dimensions functional genetic genome classification traits brings anthropology thereby genes

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 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.	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

List of publications.
year	authors and title	journal	last update
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, MÃ¤rt MÃ¶ls, 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.