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ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Systems Endocrinology
Volume 16 - 2025 |
doi: 10.3389/fendo.2025.1472754
This article is part of the Research Topic Integrated Diagnostics and Biomarker Discovery in Endocrinology and Biomedical Sciences: Volume II View all articles
EndoGene Database: reported genetic variants for 5926 Russian patients diagnosed with endocrine disorders
Provisionally accepted- 1 Endocrinology Research Center, Moscow, Moscow Oblast, Russia
- 2 Moscow Center for Advanced Studies, Moscow, Moscow Oblast, Russia
Endocrine system disorders form a serious public health burden and can be caused by deleterious genetic variants in single genes or by the combined effects of multiple variants along with environmental and lifestyle factors. EndoGene database presents the results of next-generation sequencing (NGS) assays used to genetically profile 5926 patients diagnosed with 450 endocrine and concomitant diseases, who were examined and treated in The National Medical Research Center for Endocrinology between November 2017 and January 2024. Among them, 494, 1785, 692 and 1941 patients were profiled using four internally developed genetic panels including 220, 250, 376, and 382 genes, respectively, selected based on the literature analysis and clinical recommendations, and 1245 patients were profiled by whole exome sequencing covering 31969 genes. Totally 2711 genetic variants were reported as clinically relevant by medical geneticists which are presented here along with genomic, technical and clinical annotations. This publicly accessible database will be useful to those interested in genetics, epidemiology, population statistics and a better understanding of the molecular basis of endocrine disorders
Keywords: genetic database, ENDOCRINE PATHOLOGY, mutations, Diabetes Mellitus, Mendelian diseases, human genetic variants
Received: 30 Jul 2024; Accepted: 23 Jan 2025.
Copyright: © 2025 Buzdin, Zolotovskaia, Roumiantsev, Emelyanova, Golounina, Pugacheva, Luppov, Kuzminyh, Alexeeva, Emelianova, Novoselov, Matrosova, Slepukhina, Popov, Plaksina, Petrov, Guselnikova, Shagina, Suntsova, Zakharova, Belaya, Vorontsova, Melnichenko, Mokrysheva, Chekhonin and Dedov. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Marianna Arsenovna Zolotovskaia, Endocrinology Research Center, Moscow, Moscow Oblast, Russia
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