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The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits

Hundreds of genome-wide association studies (GWAS) of human traits are performed each year. The results of GWAS are often published in the form of summary statistics. Information from summary statistics can be used for multiple purposes – from fundamental research in biology and genetics to the sear...

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Autores principales: Shashkova, T.I., Gorev, D.D., Pakhomov, E.D., Shadrina, A.S., Sharapov, S.Zh., Tsepilov, Y.A., Karssen, L.C., Aulchenko, Y.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763720/
https://www.ncbi.nlm.nih.gov/pubmed/35088001
http://dx.doi.org/10.18699/VJ20.686
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author Shashkova, T.I.
Gorev, D.D.
Pakhomov, E.D.
Shadrina, A.S.
Sharapov, S.Zh.
Tsepilov, Y.A.
Karssen, L.C.
Aulchenko, Y.S.
author_facet Shashkova, T.I.
Gorev, D.D.
Pakhomov, E.D.
Shadrina, A.S.
Sharapov, S.Zh.
Tsepilov, Y.A.
Karssen, L.C.
Aulchenko, Y.S.
author_sort Shashkova, T.I.
collection PubMed
description Hundreds of genome-wide association studies (GWAS) of human traits are performed each year. The results of GWAS are often published in the form of summary statistics. Information from summary statistics can be used for multiple purposes – from fundamental research in biology and genetics to the search for potential biomarkers and therapeutic targets. While the amount of GWAS summary statistics collected by the scientific community is rapidly increasing, the use of this data is limited by the lack of generally accepted standards. In particular, the researchers who would like to use GWAS summary statistics in their studies have to become aware that the data are scattered across multiple websites, are presented in a variety of formats, and, often, were not quality controlled. Moreover, each available summary statistics analysis tools will ask for data to be presented in their own internal format. To address these issues, we developed GWAS-MAP, a high-throughput platform for aggregating, storing, analyzing, visualizing and providing access to a database of big data that result from region- and genome-wide association studies. The database currently contains information on more than 70 billion associations between genetic variants and human diseases, quantitative traits, and “omics” traits. The GWAS-MAP platform and database can be used for studying the etiology of human diseases, building predictive risk models and finding potential biomarkers and therapeutic interventions. In order to demonstrate a typical application of the platform as an approach for extracting new biological knowledge and establishing mechanistic hypotheses, we analyzed varicose veins, a disease affecting on average every third adult in Russia. The results of analysis confirmed known epidemiologic associations for this disease and led us to propose a hypothesis that increased levels of MICB and CD209 proteins in human plasma may increase susceptibility to varicose veins.
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spelling pubmed-87637202022-01-26 The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits Shashkova, T.I. Gorev, D.D. Pakhomov, E.D. Shadrina, A.S. Sharapov, S.Zh. Tsepilov, Y.A. Karssen, L.C. Aulchenko, Y.S. Vavilovskii Zhurnal Genet Selektsii Original article Hundreds of genome-wide association studies (GWAS) of human traits are performed each year. The results of GWAS are often published in the form of summary statistics. Information from summary statistics can be used for multiple purposes – from fundamental research in biology and genetics to the search for potential biomarkers and therapeutic targets. While the amount of GWAS summary statistics collected by the scientific community is rapidly increasing, the use of this data is limited by the lack of generally accepted standards. In particular, the researchers who would like to use GWAS summary statistics in their studies have to become aware that the data are scattered across multiple websites, are presented in a variety of formats, and, often, were not quality controlled. Moreover, each available summary statistics analysis tools will ask for data to be presented in their own internal format. To address these issues, we developed GWAS-MAP, a high-throughput platform for aggregating, storing, analyzing, visualizing and providing access to a database of big data that result from region- and genome-wide association studies. The database currently contains information on more than 70 billion associations between genetic variants and human diseases, quantitative traits, and “omics” traits. The GWAS-MAP platform and database can be used for studying the etiology of human diseases, building predictive risk models and finding potential biomarkers and therapeutic interventions. In order to demonstrate a typical application of the platform as an approach for extracting new biological knowledge and establishing mechanistic hypotheses, we analyzed varicose veins, a disease affecting on average every third adult in Russia. The results of analysis confirmed known epidemiologic associations for this disease and led us to propose a hypothesis that increased levels of MICB and CD209 proteins in human plasma may increase susceptibility to varicose veins. The Federal Research Center Institute of Cytology and Genetics of Siberian Branch of the Russian Academy of Sciences 2020-12 /pmc/articles/PMC8763720/ /pubmed/35088001 http://dx.doi.org/10.18699/VJ20.686 Text en Copyright © AUTHORS https://creativecommons.org/licenses/by/2.5/This work is licensed under a Creative Commons Attribution 4.0 License
spellingShingle Original article
Shashkova, T.I.
Gorev, D.D.
Pakhomov, E.D.
Shadrina, A.S.
Sharapov, S.Zh.
Tsepilov, Y.A.
Karssen, L.C.
Aulchenko, Y.S.
The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits
title The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits
title_full The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits
title_fullStr The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits
title_full_unstemmed The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits
title_short The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits
title_sort gwas-map platform for aggregation of results of genome-wide association studies and the gwas-map|homo database of 70 billion genetic associations of human traits
topic Original article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763720/
https://www.ncbi.nlm.nih.gov/pubmed/35088001
http://dx.doi.org/10.18699/VJ20.686
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