Association study of the angiotensin-converting enzyme (ACE) gene G2350A dimorphism with myocardial infarction

The angiotensin converting enzyme (ACE) is a strong candidate gene for myocardial infarction (MI). Insertion-deletion dimorphism in intron 16 of this gene has been inconclusively found to be associated with it. Several new polymorphisms in the ACE gene have been identified and among these, a dimorphism in exon 17, ACE G2350A, has a significant effect on plasma ACE concentrations. To assess the value of genotyping the ACE G2350A dimorphism in a genetically homogeneous population, we carried out a case-control study of dimorphism G2350A for a putative association with MI among Pakistani nationals. We investigated a sample population of 370 Pakistanis, comprising 163 controls, and 207 patients with clinical diagnosis of acute MI (AMI). ACE G2350A alleles were visualized by assays based on polymerase chain reaction and restriction endonuclease analysis. Frequencies of G alleles were 0.68 among controls and 0.72 among AMI patients. The ACE G2350A dimorphism showed no significant association with MI (chi2 = 0.90, 2 df, P = 0.64), plasma levels of homocysteine (P = 0.52) or with serum levels of folate (P = 0.299). The results indicate that ACE G2350A polymorphism is not associated with risk of myocardial infarction in the Pakistani population investigated here

Determinants of Terrorism and Its Impact on Economic Growth: A Panel Study of South Asian Region

The objective of the study is to examine the key determinants of Terrorism and its Impact on Economic Growth in case of South Asian Region. Panel data is used for the period of 1985-2018 for selected south Asian countries. Terrorism affected adversely most of the world’s regions since the start of the 1980s. The main issues which are faced by these countries are related to political or economic aspects like poverty, inflation, unemployment and repression. In present study we used the role of macroeconomic factors of terrorism. The study comprised of balance panel data and employed Fixed Effect Model to analyze the determinants of terrorism in such a way that characteristics of each country can be taken into account. The findings of the study suggest that higher literacy rate determines terrorism, as confirmed by many studies, because the more  people are educated the more knowledge they may have for making plans or strategies similarly, unemployment is not leading terrorism showing that more the people involved in terrorism are employed or experienced. A terrorist act destroys the infrastructure; people are afraid to move for their work in a terrorized society these results in low production and makes demand greater than supply consequently high inflation rate so economy has to pay higher economic cost in any form. &nbsp