Associations between PHACTR1 gene polymorphisms and pulse pressure in Chinese Han population

Abstract

A genome-wide association study (GWAS) in Chinese twins was performed to explore associations between genes and pulse pressure (PP) in 2012, and detected a suggestive association in the phosphatase and actin regulator 1 (PHACTR1) gene on chromosome 6p24.1 (rs1223397, P=1.04e−07). The purpose of the present study was to investigate associations of PHACTR1 gene polymorphisms with PP in a Chinese population. We recruited 347 subjects with PP ≥ 65 mmHg as cases and 359 subjects with 30 ≤ PP ≤ 45 mmHg as controls. Seven single nucleotide polymorphisms (SNPs) in the PHACTR1 gene were genotyped. Logistic regression was performed to explore associations between SNPs and PP in codominant, additive, dominant, recessive and overdominant models. The Pearson’s χ2 test was applied to assess the relationships of haplotypes and PP. The A allele of rs9349379 had a positive effect on high PP. Multivariate logistic regression analysis showed that rs9349379 was significantly related to high PP in codominant [AA vs GG, 2.255 (1.132–4.492)], additive [GG vs GA vs AA, 1.368 (1.049–1.783)] and recessive [AA vs GA + GG, 2.062 (1.051–4.045)] models. The positive association between rs499818 and high PP was significant in codominant [AA vs GG, 3.483 (1.044–11.613)] and recessive [AA vs GG + GA, 3.716 (1.119–12.339)] models. No significant association of haplotypes with PP was detected. There was no significant interaction between six SNPs without strong linkage. In conclusion, the present study presents that rs9349379 and rs499818 in the PHACTR1 gene were significantly associated with PP in Chinese population. Future research should be conducted to confirm them.

The association between physical activity and cognitive function in the elderly in rural areas of northern China

“…Age, gender (male or female), education level (≤12 years or >12 years), occupation status (farmers or others), marital status (married or others), smoking status (yes or no), and alcohol drinking status (yes or no) were collected through questionnaires. Participants were classified as smokers if they smoked at least 100 cigarettes in their lifetime, and those who smoked < 100 cigarettes in their lifetime were classified as non-smokers ( Gu et al, 2020 ). Participants were classified as alcohol drinkers if they drank at least 1 time per week, and those who never drank or less than 1 drink per week were classified as non-alcohol drinkers ( Sun et al, 2019 ).…”