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PheLiGe: an interactive database of billions of human genotype-phenotype associations.
Shashkova, Tatiana I; Pakhomov, Eugene D; Gorev, Denis D; Karssen, Lennart C; Joshi, Peter K; Aulchenko, Yurii S.
Affiliation
  • Shashkova TI; Theoretical and Applied Functional Genomics Laboratory, Novosibirsk State University, Novosibirsk 630090, Russia.
  • Pakhomov ED; Department of Molecular and Biological physics, Moscow Institute of Physics and Technology (State University), Moscow 117303, Russia.
  • Gorev DD; Theoretical and Applied Functional Genomics Laboratory, Novosibirsk State University, Novosibirsk 630090, Russia.
  • Karssen LC; Theoretical and Applied Functional Genomics Laboratory, Novosibirsk State University, Novosibirsk 630090, Russia.
  • Joshi PK; Department of Algorithms and Programming Technologies, Moscow Institute of Physics and Technology (State University), Moscow 117303, Russia.
  • Aulchenko YS; PolyKnomics, 's-Hertogenbosch 5237 PA, Netherlands.
Nucleic Acids Res ; 49(D1): D1347-D1350, 2021 01 08.
Article in En | MEDLINE | ID: mdl-33245779
ABSTRACT
Genome-wide association studies have provided a vast array of publicly available SNP × phenotype association results. However, they are often in disparate repositories and formats, making downstream analyses difficult and time consuming. PheLiGe (https//phelige.com) is a database that provides easy access to such results via a web interface. The underlying database currently stores >75 billion genotype-phenotype associations from 7347 genome-wide and 1.2 million region-wide (e.g. cis-eQTL) association scans. The web interface allows for investigation of regional genotype-phenotype associations across many phenotypes, giving insights into the biological function affected by the variant in question. Furthermore, PheLiGe can compare regional patterns of association between different traits. This analysis can ascertain whether a co-association is due to pleiotropy or linkage. Moreover, comparison of association patterns for a complex trait of interest and gene expression and protein levels can implicate causal genes.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Disease / Genetic Predisposition to Disease / Polymorphism, Single Nucleotide / Databases, Genetic / Genetic Association Studies Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nucleic Acids Res Year: 2021 Type: Article Affiliation country: RUSSIA

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Disease / Genetic Predisposition to Disease / Polymorphism, Single Nucleotide / Databases, Genetic / Genetic Association Studies Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Nucleic Acids Res Year: 2021 Type: Article Affiliation country: RUSSIA