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An exploratory phenome wide association study linking asthma and liver disease genetic variants to electronic health records from the Estonian Biobank

The Estonian Biobank, governed by the Institute of Genomics at the University of Tartu (Biobank), has stored genetic material/DNA and continuously collected data since 2002 on a total of 52,274 individuals representing ~5% of the Estonian adult population and is increasing. To explore the utility of...

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Detalles Bibliográficos
Autores principales: James, Glen, Reisberg, Sulev, Lepik, Kaido, Galwey, Nicholas, Avillach, Paul, Kolberg, Liis, Mägi, Reedik, Esko, Tõnu, Alexander, Myriam, Waterworth, Dawn, Loomis, A. Katrina, Vilo, Jaak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6461350/
https://www.ncbi.nlm.nih.gov/pubmed/30978214
http://dx.doi.org/10.1371/journal.pone.0215026
Descripción
Sumario:The Estonian Biobank, governed by the Institute of Genomics at the University of Tartu (Biobank), has stored genetic material/DNA and continuously collected data since 2002 on a total of 52,274 individuals representing ~5% of the Estonian adult population and is increasing. To explore the utility of data available in the Biobank, we conducted a phenome-wide association study (PheWAS) in two areas of interest to healthcare researchers; asthma and liver disease. We used 11 asthma and 13 liver disease-associated single nucleotide polymorphisms (SNPs), identified from published genome-wide association studies, to test our ability to detect established associations. We confirmed 2 asthma and 5 liver disease associated variants at nominal significance and directionally consistent with published results. We found 2 associations that were opposite to what was published before (rs4374383:AA increases risk of NASH/NAFLD, rs11597086 increases ALT level). Three SNP-diagnosis pairs passed the phenome-wide significance threshold: rs9273349 and E06 (thyroiditis, p = 5.50x10(-8)); rs9273349 and E10 (type-1 diabetes, p = 2.60x10(-7)); and rs2281135 and K76 (non-alcoholic liver diseases, including NAFLD, p = 4.10x10(-7)). We have validated our approach and confirmed the quality of the data for these conditions. Importantly, we demonstrate that the extensive amount of genetic and medical information from the Estonian Biobank can be successfully utilized for scientific research.