Quantitative trait association study for mean telomere length in the South Asian genomes | Zendy

Anna Hakobyan | Zendy; Lilit Nersisyan | Zendy; Arsen Arakelyan | Zendy

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Quantitative trait association study for mean telomere length in the South Asian genomes

Author(s) -

Anna Hakobyan,

Lilit Nersisyan,

Arsen Arakelyan

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw027

Subject(s) - telomere , biology , genome wide association study , single nucleotide polymorphism , quantitative trait locus , genetics , genetic association , genome , trait , genotype , population , computational biology , identification (biology) , evolutionary biology , gene , medicine , computer science , botany , environmental health , programming language

Mean telomere length (MTL) is associated with cancers and age-related diseases, which necessitates identification of genomic and environmental factors that impact telomere length dynamics. Here, we present a pilot genome wide association (GWA) study for MTL in South Asian population using publicly available next generation whole genome sequences (WGS), both for MTL and genotype calculations.

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