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PheLiGe : an interactive database of billions of human genotype-phenotype associations. / Shashkova, Tatiana I.; Pakhomov, Eugene D.; Gorev, Denis D. и др.

в: Nucleic Acids Research, Том 49, № D1, 08.01.2021, стр. D1347-D1350.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Shashkova, TI, Pakhomov, ED, Gorev, DD, Karssen, LC, Joshi, PK & Aulchenko, YS 2021, 'PheLiGe: an interactive database of billions of human genotype-phenotype associations', Nucleic Acids Research, Том. 49, № D1, стр. D1347-D1350. https://doi.org/10.1093/nar/gkaa1086

APA

Shashkova, T. I., Pakhomov, E. D., Gorev, D. D., Karssen, L. C., Joshi, P. K., & Aulchenko, Y. S. (2021). PheLiGe: an interactive database of billions of human genotype-phenotype associations. Nucleic Acids Research, 49(D1), D1347-D1350. https://doi.org/10.1093/nar/gkaa1086

Vancouver

Shashkova TI, Pakhomov ED, Gorev DD, Karssen LC, Joshi PK, Aulchenko YS. PheLiGe: an interactive database of billions of human genotype-phenotype associations. Nucleic Acids Research. 2021 янв. 8;49(D1):D1347-D1350. doi: 10.1093/nar/gkaa1086

Author

Shashkova, Tatiana I. ; Pakhomov, Eugene D. ; Gorev, Denis D. и др. / PheLiGe : an interactive database of billions of human genotype-phenotype associations. в: Nucleic Acids Research. 2021 ; Том 49, № D1. стр. D1347-D1350.

BibTeX

@article{1398d804370343c28b245da6c1940d2f,
title = "PheLiGe: an interactive database of billions of human genotype-phenotype associations",
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.",
keywords = "Databases, Genetic, Disease/genetics, Genetic Association Studies, Genetic Linkage, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Internet, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable, Software",
author = "Shashkova, {Tatiana I.} and Pakhomov, {Eugene D.} and Gorev, {Denis D.} and Karssen, {Lennart C.} and Joshi, {Peter K.} and Aulchenko, {Yurii S.}",
note = "Publisher Copyright: {\textcopyright} 2021 The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",
year = "2021",
month = jan,
day = "8",
doi = "10.1093/nar/gkaa1086",
language = "English",
volume = "49",
pages = "D1347--D1350",
journal = "Nucleic Acids Research",
issn = "0305-1048",
publisher = "Oxford University Press",
number = "D1",

}

RIS

TY - JOUR

T1 - PheLiGe

T2 - an interactive database of billions of human genotype-phenotype associations

AU - Shashkova, Tatiana I.

AU - Pakhomov, Eugene D.

AU - Gorev, Denis D.

AU - Karssen, Lennart C.

AU - Joshi, Peter K.

AU - Aulchenko, Yurii S.

N1 - Publisher Copyright: © 2021 The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/1/8

Y1 - 2021/1/8

N2 - 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.

AB - 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.

KW - Databases, Genetic

KW - Disease/genetics

KW - Genetic Association Studies

KW - Genetic Linkage

KW - Genetic Predisposition to Disease

KW - Genome, Human

KW - Genome-Wide Association Study

KW - Genotype

KW - Humans

KW - Internet

KW - Phenotype

KW - Polymorphism, Single Nucleotide

KW - Quantitative Trait, Heritable

KW - Software

UR - http://www.scopus.com/inward/record.url?scp=85099427237&partnerID=8YFLogxK

U2 - 10.1093/nar/gkaa1086

DO - 10.1093/nar/gkaa1086

M3 - Article

C2 - 33245779

AN - SCOPUS:85099427237

VL - 49

SP - D1347-D1350

JO - Nucleic Acids Research

JF - Nucleic Acids Research

SN - 0305-1048

IS - D1

ER -

ID: 27486290