[Association Analysis between Genotype and Phenotype of α,ß-Thalassaemia Carriers in Huizhou Area of Guangdong Province].

OBJECTIVE: To analyze the prevalence, genotype distribution and hematological characteristics of α,ß-thalassaemia carriers in Huizhou area of Guangdong Province. METHODS: 10 809 carriers of simple ß-thalassaemia and 1 757 carriers of α,ß-thalassaemia were enrolled as our study cohort. The hematological parameters were detected by automated blood cell counters and automatic capillary electrophoresis. Suspension array technology, gap-polymerase chain reaction (gap-PCR) and PCR-reverse dot blot were used for the genotyping of thalassaemia carriers. RESULTS: The prevalence of α,ß-thalassaemia in Huizhou area of Guangdong Province was 1.99%. A total of 62 genotypes were detected, and the most prevalent genotype was --SEA/ αα, ßCD41-42/ ßN (19.29%), the next was --SEA/ αα, ßIVS-II-654/ ßN (16.73%). Significant differences in mean corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH) were found between different genotype groups for simple ß-thalassaemia and α,ß-thalassaemia. Violin plots showed that carriers with co-inheritance of ß-thalassaemia and mild α-thalassaemia expressed the lightest anemia, and carriers with co-inheritance of ß-thalassaemia and hemoglobin H (Hb H) disease expressed the most severe anemia. CONCLUSION: There is a high prevalence of α,ß-thalassaemia in Huizhou area of Guangdong Province. Because of the lack of specific hematological makers for diagnosis of α,ß-thalassaemia, it is necessary to distinguish it from simple ß-thalassaemia by genotyping of α- and ß-thalassaemia in order to correctly guide genetic counseling and prenatal disgnosis.

Impact of UGT2B7 and ABCC2 genetic polymorphisms on mycophenolic acid metabolism in Chinese renal transplant recipients.

AIM: To evaluate genetic variants affecting mycophenolic acid (MPA) metabolism in Chinese renal transplant recipients. METHODS: Total 11 SNPs of UGT1A9, UGT1A8, UGT2B7, ABCC2, ABCG2 and SLCO1B3 were genotyped in 408 Chinese renal transplant recipients. Associations between SNPs and MPA concentration/dose ratio (C0/D) were analyzed using different genetic models. Multivariate linear regression was used to analyze associations between log (C0/D) and clinical factors. Results: After adjustment by clinical factors, UGT2B7 rs7662029 was associated with log (C0/D) using a dominant (p = 0.041) and an additive (p = 0.038) model, ABCC2 rs717620 was associated with log (C0/D) using a recessive model (p = 0.019). Using additive model, SNP-SNP interactions were identified (p = 0.002) between ABCC2 rs717620 and UGT1A9 rs2741049, with interactions (p = 0.002) between ABCC2 rs717620 and UGT1A8 rs1042597. Age, albumin and serum creatinine were associated with log (C0/D). CONCLUSION: rs7662029 and rs717620 may affect MPA pharmacokinetics. SNP-SNP interactions and clinical factors may have significant effects on MPA metabolism.