Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UNIPROT:P02774 (Gc-globulin)
 196 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Serum specimens from 1385 unrelated males and females from seven Middle East and East European sample surveys (Prague, Olomouc, Krakow, Poznan, Szeged, Moscow, and Jekaterinburg) have been typed for seven polymorphic serum protein polymorphisms (GC, TF, PLG, PI, A2HS, F13B, and ITI). The distributions of phenotype and allele frequencies show a marked heterogeneity, especially with regard to the allel GC*1F of the GC system, the alleles A2HS*1 and A2HS*2 of the A2HS system and the alleles F13B*1 and F13B*3 allele of the F13B system. Analysis of the genetic variability by means of distance and principal component analysis revealed that with regard to the seven polymorphic loci studied the population samples from Prague and Jekaterinburg are characterized by deviating genetic structures. While the different genetic structure of the sample from Prague is mainly due to the distribution of the alleles at the A2HS locus, the sample from Jekaterinburg shows differences in several loci. The genetic dissimilarity corresponds to the large geographic distance from the other populations and can presumably be explained with the comparatively heterogeneous ethnic composition of the population of this city located at the geographic borderline between Europe and Asia.
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PMID:Serum protein polymorphisms in seven populations from Middle Eastern and Eastern Europe. 927 Mar 28

The geographic distribution of the frequencies of genes related to the immunological and biochemical polymorphism was studied in the Maris, who are the indigenous population of the Marii El Republic. Data on the frequencies of 33 alleles of 10 loci (ABO, TF, GC, PI, HP, AHS, F13B, ACP1, PGM1, and GLO1) in five raions (districts) of Marii El were obtained. Computer interpolation maps were constructed for all alleles. The maps allows to predict the distribution of the alleles throughout Marii El. A map of the reliability of the cartographic prediction was drawn. For the first time, the reliability of predicted gene frequencies were taken into account in constructing and interpreting the maps of gene frequencies. For the entire set of the studied genes, parameters of heterozygosity (HS) and gene diversity (GST) were estimated. Cartographic correlation analysis was performed to reveal the relationship between gene frequencies and geographic coordinates. It was found that 42% of the studied genes predominantly correlated with latitude and 9% with longitude. It was assumed that the genetic structure of Mari populations had been mainly determined by latitude-related factors. A map of Nei's genetic distances between the overall Mari gene pool and the local populations revealed a central core, which was close to the "average Mari" gene pool, and a periphery, which was genetically distant from it. Suggestions on the microevolution of the Mari gene pool were advanced. Maps of the genes with the most characteristic genetic relief (ABO*B, ACP*A, TF*D, GC*1F, PI*M2, HP*1F, and F13B*3) are shown. These maps exhibit a high correlation with the maps of principal components.
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PMID:[Genogenography of the aboriginal population of Marii El (from data on immunobiochemical polymorphism)]. 1009 30