BACKGROUND: Sex differences in hypertension are not well known. The present study was undertaken to detect the association of nine lipid-related gene polymorphisms and blood pressure variation beween men and women in the Bai Ku Yao population. METHODS: Genotyping of ATP-binding cassette transporter A1 (ABCA-1) V825I, acyl-CoA:cholesterol acyltransferase-1 (ACAT-1) rs1044925, low-density lipoprotein receptor (LDL-R) AvaII, hepatic lipase gene (LIPC) -250G>A, endothelial lipase gene (LIPG) 584C>T, methylenetetrahydrofolate reductase (MTHFR) 677C>T, proprotein convertase subtilisin-like kexin type 9 (PCSK9) E670G, peroxisome proliferator-activated receptor delta (PPARD) +294T>C, and Scavenger receptor class B type 1 (SCARB1) rs5888 was performed in 682 normotensives and 670 hypertensives. RESULTS: The genotypic frequencies of LDL-R and SCARB1 in normotensives and ABCA-1, ACAT-1, LDL-R, LIPC, and MTHFR in hypertensives were different between males and females (P < 0.05-0.001). The genotypic frequencies of ABCA-1, ACAT-1, LDL-R, LIPC, MTHFR, PPARD, and SCARB1 in males and ABCA-1, LDL-R, LIPC, LIPG, and MTHFR in females were different between normotensives and hypertensives (P < 0.05-0.001). Systolic blood pressure (SBP) levels in male hypertensives were different among the LIPC, LIPG, PCSK9, and SCARB1 genotypes (P < 0.05-0.01); and diastolic blood pressure (DBP) levels were different among the ABCA-1, LDL-R, LIPC, LIPG, MTHFR, PCSK9, and PPARD genotypes (P < 0.05-0.001). SBP levels in female hypertensives were different among the LIPC, MTHFR, PCSK9, and PPARD genotypes (P < 0.05-0.01); and DBP levels were different among ABCA-1, ACAT-1, MTHFR, PCSK9, PPARD, and SCARB1 genotypes (P <0.05-0.001). The correlations between these polymorphisms and blood pressure levels were also observed. CONCLUSIONS: Sex differences in blood pressure levels in this population may partly attribute to the differences in some lipid-related gene polymorphisms.
BACKGROUND: Sex differences in hypertension are not well known. The present study was undertaken to detect the association of nine lipid-related gene polymorphisms and blood pressure variation beween men and women in the Bai Ku Yao population. METHODS: Genotyping of ATP-binding cassette transporter A1 (ABCA-1) V825I, acyl-CoA:cholesterol acyltransferase-1 (ACAT-1) rs1044925, low-density lipoprotein receptor (LDL-R) AvaII, hepatic lipase gene (LIPC) -250G>A, endothelial lipase gene (LIPG) 584C>T, methylenetetrahydrofolate reductase (MTHFR) 677C>T, proprotein convertase subtilisin-like kexin type 9 (PCSK9) E670G, peroxisome proliferator-activated receptor delta (PPARD) +294T>C, and Scavenger receptor class B type 1 (SCARB1) rs5888 was performed in 682 normotensives and 670 hypertensives. RESULTS: The genotypic frequencies of LDL-R and SCARB1 in normotensives and ABCA-1, ACAT-1, LDL-R, LIPC, and MTHFR in hypertensives were different between males and females (P < 0.05-0.001). The genotypic frequencies of ABCA-1, ACAT-1, LDL-R, LIPC, MTHFR, PPARD, and SCARB1 in males and ABCA-1, LDL-R, LIPC, LIPG, and MTHFR in females were different between normotensives and hypertensives (P < 0.05-0.001). Systolic blood pressure (SBP) levels in male hypertensives were different among the LIPC, LIPG, PCSK9, and SCARB1 genotypes (P < 0.05-0.01); and diastolic blood pressure (DBP) levels were different among the ABCA-1, LDL-R, LIPC, LIPG, MTHFR, PCSK9, and PPARD genotypes (P < 0.05-0.001). SBP levels in female hypertensives were different among the LIPC, MTHFR, PCSK9, and PPARD genotypes (P < 0.05-0.01); and DBP levels were different among ABCA-1, ACAT-1, MTHFR, PCSK9, PPARD, and SCARB1 genotypes (P <0.05-0.001). The correlations between these polymorphisms and blood pressure levels were also observed. CONCLUSIONS: Sex differences in blood pressure levels in this population may partly attribute to the differences in some lipid-related gene polymorphisms.
Authors: Ngan T Tran; Stella Aslibekyan; Hemant K Tiwari; Degui Zhi; Yun Ju Sung; Steven C Hunt; D C Rao; Ulrich Broeckel; Suzanne E Judd; Paul Muntner; Shia T Kent; Donna K Arnett; Marguerite R Irvin Journal: Front Genet Date: 2015-04-08 Impact factor: 4.599