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GSTM1 and GSTT1 polymorphisms in healthy volunteers - a worldwide systematic review

Journal

DRUG METABOLISM REVIEWS
Volume 54, Issue 1, Pages 37-45

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/03602532.2022.2036996

Keywords

Deletion; ethnicity; genotype; GSTM1; GSTT1; polymorphism

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GSTM1 and GSTT1 deletions show significant frequency differences among distinct ethnic groups, with East Asians having the highest frequencies and Sub-Saharan Africans having the lowest, indicating a strong influence of ethnicity. Further studies on the impact of admixture on the frequency values of these genes are needed.
The GSTM1 and GSTT1 genes encode homonymous enzymes, which are responsible for the detoxification of several substances potentially harmful to the human body, such as air pollution, drugs, pesticides, and tobacco. However, some individuals may present a complete deletion of these genes and, consequently, an enzyme deficiency leading to an inadequate metabolism and, therefore, a higher susceptibility to some clinical conditions. Interethnic variations have also been described for both genes, making necessary the study of the deletion frequencies of GSTM1 and GSTT1 in different populations around the world. So, the aim of this study was to enable the synthesis and discussion of the main population differences of GSTM1 and GSTT1 polymorphisms in healthy volunteers. Searches were performed in the PubMed database, including 533 articles and 178,566 individuals in the analyses. We found an overrepresentation of European individuals and studies, and an underrepresentation of non-European ethnicities. Moreover, there are significant frequency differences among distinct ethnic groups: East Asians present the highest frequencies worldwide for GSTM1 and GSTT1 deletions, which could suggest higher disorders risk for this population; in contrast, Sub-Saharan Africans presented the lowest frequency of GSTM1 worldwide, corroborating evolution inferences performed previously for other genes codifying metabolism enzymes. Also, admixture is a relevant component when analyzing frequency values for both genes, but further studies focusing on this subject are warranted.

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