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Garrett Hellenthal

Researcher at University College London

Publications -  76
Citations -  11454

Garrett Hellenthal is an academic researcher from University College London. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 34, co-authored 70 publications receiving 9592 citations. Previous affiliations of Garrett Hellenthal include University of Oxford & Wellcome Trust Centre for Human Genetics.

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Dense sampling of ethnic groups within African countries reveals fine-scale genetic structure and extensive historical admixture

TL;DR: In this article , the authors analyzed new autosomal genetic variation data of 1333 individuals from over 150 ethnic groups from Cameroon, Republic of the Congo, Ghana, Nigeria, and Sudan, and demonstrated a previously underappreciated fine-scale level of genetic structure within these countries, for example, correlating with historical polities in western Cameroon.
Journal ArticleDOI

Structure and ancestry patterns of Ethiopians in genome-wide autosomal DNA.

TL;DR: A review of the current insights derived from the analyses of new large-scale, genome-wide autosomal variation data studies incorporating Ethiopians can be found in this article, where the authors demonstrate how genetic analyses can complement findings from anthropological and linguistic studies on Ethiopians.
Posted ContentDOI

The genetic legacy of Zoroastrianism in Iran and India: Insights into population structure, gene flow and selection.

TL;DR: It is shown that Zoroastrian in Iran and India show increased genetic homogeneity relative to other sampled groups in their respective countries, consistent with their current practices of endogamy, and genomic regions showing signatures of positive selection in present-day Zoroastrians that might correlate to the prevalence of particular diseases amongst these communities are reported.

Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

Stephen Sawcer, +240 more
TL;DR: Moderate powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility.