Fiscal responses to COVID-19 outbreak for healthy economies: Modelling with big data analytics.

Fiscal responses to the COVID-19 crisis have varied a lot across countries. Using a panel of 127 countries over two separate subperiods between 2020 and 2021, this paper seeks to determine the extent that fiscal responses contributed to the spread and containment of the disease. The study first documents that rich countries, which had the largest total and health-related fiscal responses, achieved the lowest fatality rates, defined as the ratio of COVID-related deaths to cases, despite having the largest recorded numbers of cases and fatalities.

Big data analytics and COVID-19: investigating the relationship between government policies and cases in Poland, Turkey and South Korea.

We used big data analytics for exploring the relationship between government response policies, human mobility trends and numbers of coronavirus disease 2019 (COVID-19) cases comparatively in Poland, Turkey and South Korea. We collected daily mobility data of retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential areas. For quantifying the actions taken by governments and making a fairness comparison between these countries, we used stringency index values measured with the 'Oxford COVID-19 government response tracker'.

Analysis of Vitamin D Receptor Polymorphisms in Patients with Familial Multiple Sclerosis.

Objective: Genetic and environmental factors are important in the development of the multiple sclerosis (MS). Vitamin D shows its effects on the immune system with the vitamin D receptor (VDR) in the nucleus. Single nucleotide polymorphisms (SNPs) in the VDR gene can lead to alterations in vitamin D functions and metabolism.

The association between vitamin D receptor polymorphisms and multiple sclerosis in a Turkish population.

Background: Multiple sclerosis (MS) is a chronic, demyelinating disease of the central nervous system (CNS). Genetic and environmental factors are important in disease development. Many studies have investigated the relationship between MS and VDR polymorphisms.

Mutations in GNA11 in uveal melanoma.

Background: Uveal melanoma is the most common intraocular cancer. There are no effective therapies for metastatic disease. Mutations in GNAQ, the gene encoding an alpha subunit of heterotrimeric G proteins, are found in 40% of uveal melanomas.

The molecular basis of familial hypercholesterolaemia in Turkish patients.

Familial hypercholesterolaemia (FH) is an autosomal dominant disorder of lipoprotein metabolism. In the majority of patients FH is caused by mutations in the gene for the low-density lipoprotein receptor (LDLR), and to date more than 700 mutations have been reported worldwide. In this study, 36 paediatric patients with a clinical diagnosis of FH (20 homozygous and 16 heterozygotes) were screened for mutations in the LDLR gene.

Mutation detection in patients with familial hypercholesterolaemia using heteroduplex and single strand conformation polymorphism analysis by capillary electrophoresis.

Mutations in the low-density lipoprotein receptor (LDLR) gene give rise to familial hypercholesterolaemia (FH). In this study we have used a 96-well capillary machine (MegaBACE, Amersham) to develop a single strand conformation polymorphism (SSCP) and heteroduplex method for the detection of mutations in the LDLR gene. We have applied this technique to 101 different mutations including single nucleotide polymorphisms in different exons of the LDLR gene.

Three novel mutations in the apolipoprotein E gene in a sample of individuals with type 2 diabetes mellitus.

Background: Apolipoprotein E (apoE) is found in association with triglyceride-rich lipoproteins and is the ligand for the removal of these particles from the plasma. Genetic variations in exon 4 lead to three common gene variants: E2, E3, and E4.

Methods: We performed apoE genotyping in 765 individuals with type 2 diabetes.