METHODS: We used three single nucleotide polymorphisms (SNPs) (rs8176746, rs505922, and rs8176704) to determine ABO genotype in 2,774 aggressive prostate cancer cases and 4,443 controls from the Breast and Prostate Cancer Cohort Consortium (BPC3). Unconditional logistic regression was used to calculate age and study-adjusted odds ratios and 95% confidence intervals for the association between blood type, genotype, and risk of aggressive prostate cancer (Gleason score ≥8 or locally advanced/metastatic disease (stage T3/T4/N1/M1).
RESULTS: We found no association between ABO blood type and risk of aggressive prostate cancer (Type A: OR = 0.97, 95%CI = 0.87-1.08; Type B: OR = 0.92, 95%CI =n0.77-1.09; Type AB: OR = 1.25, 95%CI = 0.98-1.59, compared to Type O, respectively). Similarly, there was no association between "dose" of A or B alleles and aggressive prostate cancer risk.
CONCLUSIONS: ABO blood type was not associated with risk of aggressive prostate cancer.
METHODOLOGY: This study comprised of 249 participants (148 overweight/ obese as a case group and 101 lean participants as controls). The PCR-RFLP technique was performed to distinguish the genotype distribution of Leptin gene polymorphisms. The allele and genotype frequencies were assessed for single and haplotype analyses.
RESULT: Single association analysis of G2548A (P=0.74), A19G (P=0.38), and H1328080 (P=0.56) polymorphisms yielded no statistically significant association. However, haplotype association analysis showed a suggestive indication of AAG haplotype (G2548A, H1328080, and A19G sequence) with susceptibility effect towards obesity predisposition [P=0.002, OR=8.897 (1.59-9.78)].
CONCLUSION: This data on single and haplotype might disclose the preliminary exposure and pave the way for the obesity development with an evidence of revealed susceptibility to obesity.
Methods: A cross-sectional study was used. Totally, 427 samples of dissimilar Thai-Muslim healthy blood donors living in three southern border provinces were selected via simple random sampling (aged 17-65 years old) and donors found to be positive for infectious markers were excluded. All samples were analysed for JK*A and JK*B alleles using PCR-SSP. The Pearson's chi-squared and Fisher exact tests were used to compare the JK frequencies among southern Thai-Muslim with those among other populations previously reported.
Results: A total of 427 donors-315 males and 112 females, with a median age of 29 years (interquartile range: 18 years)-were analysed. A JK*A/JK*B genotype was the most common, and the JK*A and JK*B allele frequencies among the southern Thai-Muslims were 55.2% and 44.8%, respectively. Their frequencies significantly differed from those of the central Thai, Korean, Japanese, Brazilian-Japanese, Chinese, Filipino, Africans and American Natives populations (P < 0.05). Predicted JK phenotypes were compared with different groups of Malaysians. The Jk(a+b+) phenotype frequency among southern Thai-Muslims was significantly higher than that of Malaysian Malays and Indians (P < 0.05).
Conclusions: The JK*A and JK*B allele frequencies in a southern Thai-Muslim population were determined, which can be applied not only to solve problems in transfusion medicine but also to provide tools for genetic anthropology and population studies.