Population Levels Assessment of the Distribution of Disease-Associated Variants With Emphasis on Armenians – A Machine Learning Approach

Population Levels Assessment of the Distribution of Disease-Associated Variants With Emphasis on Armenians – A Machine Learning Approach

Background: During the last decades a number of genome-wide association studies (GWASs) has identified numerous single nucleotide polymorphisms (SNPs) associated with different complex diseases. However, associations reported in one population are often conflicting and did not replicate when studied...

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Bibliographic Details
Main Authors: Maria Nikoghosyan, Siras Hakobyan, Anahit Hovhannisyan, Henry Loeffler-Wirth, Hans Binder, Arsen Arakelyan
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-04-01
Series:Frontiers in Genetics
Subjects:
complex diseases
genetic risk alleles
small populations
genome-wide association study
machine learning
self-organizing maps
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.00394/full

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https://www.frontiersin.org/article/10.3389/fgene.2019.00394/full

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