Literature DB >> 11771312

[Analysis of diversity of autosomal-recessive diseases in Russian populations].

R A Zinchenko -Mamedova1, G I El'chinova, S G Gavrilina, E K Ginter.   

Abstract

The diversity of autosomal recessive (AR) diseases was studied in six Russian regions: the Kirov, Kostroma, and Bryansk oblasts; Adygea Republic; Krasnodar krai, and Marii El Republic (in the latter region, the Mari and Russian ethnic groups were studied separately). In total, more than 1.5 million people were studied. The spectrum of the AR diseases included 101 nosological forms; the total number of the affected subjects was 942. For all diseases, the prevalence rate in the region where they were found and the mean prevalence rate in the total population studied were calculated. Only seven AR diseases had prevalence rates of 1:50,000 or higher; however, this group contained about 50% of the patients. About half of the AR diseases (66) had an extremely low prevalence rate (1:877,483). Eleven diseases exhibit local accumulation. Accumulation of some or other diseases was only observed in four out of seven populations studied (Marii El, Adygea, and the Kirov and Bryansk oblasts). To determine the cause of the local accumulation of some diseases in populations, correlation analysis of the dependence of accumulation of hereditary diseases on the genetic structure of the populations studied was performed. The accumulation coefficients for AR and autosomal dominant (AD) diseases and the mean values of random inbreeding (Fst) in individual districts were calculated for all populations studied. The coefficients of the Spearman rank correlation between the accumulation coefficient and random inbreeding (Fst) were 0.68 and 0.86 for the AD and AR diseases, respectively. The correlation between the accumulation of AD and AR diseases was 0.86. The relationships found indicate that the diversity of AD and AR diseases, as well as the genetic load, distinctly depended on the population genetic structure and were largely determined by genetic drift.

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Year:  2001        PMID: 11771312

Source DB:  PubMed          Journal:  Genetika        ISSN: 0016-6758


  2 in total

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Journal:  Front Genet       Date:  2021-08-30       Impact factor: 4.772

2.  A new approach to estimating the prevalence of hereditary hearing loss: An analysis of the distribution of sign language users based on census data in Russia.

Authors:  Georgii P Romanov; Vera G Pshennikova; Sergey A Lashin; Aisen V Solovyev; Fedor M Teryutin; Aleksandra M Cherdonova; Tuyara V Borisova; Nikolay N Sazonov; Elza K Khusnutdinova; Olga L Posukh; Sardana A Fedorova; Nikolay A Barashkov
Journal:  PLoS One       Date:  2020-11-30       Impact factor: 3.240

  2 in total

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