Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0024530 (malaria)
 44,886 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The present work reports a study of nine genetic polymorphic systems in the area of the Po Delta where malaria was endemic since the XIV century. Our data confirm some characteristics of this population already reported by other authors such as the high prevalence of thalassemia, the low prevalence of the rh (d) gene and the presence of G-6-PD deficiency. Among the other systems studied, i.e., AP, PGM1 ADA and AK, only AP frequencies of Po Delta population are significantly different from those of other continental Italian populations, the PC allele showing the lowest frequency so far observed.
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PMID:A study of nine polymorphic systems in the population of the Po Delta. 96 38

Bakakas are native Bantus belonging to the Mbo-Bakossi group, peopling the Cameroon's Littoral region. In the context of a wide bio-anthropological study project focused on the bio-historical processes involved in the areas, 278 adults of both sexes from the villages of Ebone and Bakwat (Bakaka Canton) were investigated for 14 erythrocyte and serum genetic polymorphisms (ACP1, ADA, EsD, GLO, Hb beta, GPX1, CAII, PGM1, SAHH, 6-PGD, Hp, Pi, Gc and Tf). With only a few exceptions (Hp and GLO systems), the genetic frequencies of the polymorphisms considered tend to fall within the range of variation known for the subsaharan populations. With reference to the malaria endemicity characterizing the Littoral environment, high frequencies for Hb beta*S allele and absence of the ACP1*R 'Negro allele' were recorded. The genetic distances among Bakakas and 14 other Central African populations were also calculated from six genetic loci.
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PMID:A bio-anthropological study on the Bakakas of Cameroon. 158 May 43

The diversity of spatial patterns of 61 allele frequencies for 20 genetic systems (15 loci) in Italy is presented. Blood antigens, enzymes, and proteins were analyzed. The total number of data points over all systems and localities was 1119. We used homogeneity tests, one-dimensional and directional spatial correlograms, and SYMAP interpolated surfaces. The data matrices were reduced by clustering techniques to reveal the principal patterns. Only a few allele frequency surfaces are strongly correlated across loci. All systems but one (ADA) exhibit significant heterogeneity in allele frequencies among the localities. Significant spatial patterns are shown by 27 of the 61 surfaces. Only one pattern (cde; system 4.19) is clinal; another (PGM1) exhibits a pure isolation by distance pattern; the others show long-range differentiation in addition to the short-distance decline of autocorrelation expected under isolation by distance. There is a marked decline in overall genetic similarity with distance for most variables. The 27 spatially significant alleles in Italy are also significantly patterned in Europe, but in all but 2 cases the country-wide and continent-wide patterns differ. The Italian patterns are due to forces specific to Italy. Differential selection for alleles associated with malaria is still evident. Whereas short-range differentiation can with malaria is still evident. Whereas short-range differentiation can be explained by isolation by distance, long-range differentiation appears to be due to demographic changes in certain populations that may be maintained by physical and linguistic isolation.
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PMID:Genetic population structure of Italy. I. Geographic patterns of gene frequencies. 205 88

189 healthy controls and 175 patients suffering from malaria vivax have been investigated with regard to associations between this disease and 22 genetic polymorphisms of the blood (ABO, MN, Ss, Rh, Kell, P, Lutheran, Kidd, Duffy, Diego, Xg; ABH-Secretor; Hp, Gc, Gm, Km; aP, AK, PGM1, 6-PGD, EsD; Hb variants) Significant associations could be demonstrated only for P and Hp systems, though in accordance with other investigations it cannot be excluded that the ABO system plays also a role in this connection.
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PMID:Genetic markers and malaria. Observations in Gujarat, India. 351 22