Reproductive potential of the male (RPM): the computer database of phenotypic and molecular genetic data for Russian men with impaired and normal fertility

Currently, a trend of decline in male fertility is observed all over the world. The study of this trend has not only of scientific, but also of socio-economic importance. Many countries conduct studies of male reproductive potential and search environmental and genetic causes of the mentioned phenom...

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Bibliographic Details
Published in:Journal of Integrative Bioinformatics
Main Authors: Bogomolov Anton, Osadchuk Alexander, Osadchuk Ludmila
Format: Article in Journal/Newspaper
Language:English
Published: De Gruyter 2020
Subjects:
Online Access:https://doi.org/10.1515/jib-2020-0032
https://doaj.org/article/cfd1bca116d54399a632cdfacd000051
Description
Summary:Currently, a trend of decline in male fertility is observed all over the world. The study of this trend has not only of scientific, but also of socio-economic importance. Many countries conduct studies of male reproductive potential and search environmental and genetic causes of the mentioned phenomenon. Previously published studies have not included data on the Russian male population. This work presents novel database “Reproductive Potential of the Male population of Russia” (RPM), which is almost the only source of such information about Russia. RPM was created using relational database management system MariaDB and is available at www.sysbio.ru/rpm. The database includes reproductive information of 1390 male volunteers from five large cities of Russia: Arkhangelsk, Novosibirsk, Kemerovo, Ulan-Ude and Yakutsk. The important feature of the developed database is the unique data of a multifactorial measurement of male fertility: spermatogenic, hormonal, metabolic and anthropological indices. The scientists can use published information in their studies of male reproductive potential as data of some Russian regions and compare it with data from other countries. Also the published data can be used to identify markers of infertility and subfertility, as well as to study ethnic and regional trends in fertility variability and demographic risks in Russia.