A genetic epidemiological study of hereditary diseases of the nervous system (HDNS) was conducted in the cities of Volgograd and Volzhsky for the first time. In total, 1 323 500 individuals were examined including the populations of Volgograd and Volzhsky (1 012 800 and 310 700 persons, respectively). The prevalence of neurological diseases with autosomal dominant (AD), autosomal recessive (AR), and X-linked recessive inheritance was estimated. These data were compared with the estimates previously obtained for different population of the Russian Federation. A decrease was found in general HDNS load in Volgograd and Volzhsky. The compared populations were shown to differ in a contribution of AD, AR, and X-linked recessive diseases into the HDNS load formation. The possible effect of population dynamics factors on the HDNS load structure is discussed.
Russian Journal of Genetics – Springer Journals
Published: Dec 28, 2004
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera