E-Wom, E-Trust dan Keluarga serta Pengaruhnya Terhadap Keputusan Pembelian Online Generasi Z Di Kota Pekanbaru

This research aims to identify the influence of e-wom, e-trust and family on online purchasing decisions of generation Z in the city of Pekanbaru. This research involved 120 people belonging to generation Z. Samples were taken using a purposive random sampling technique. Data was obtained through distributing questionnaires whose validity and reliability had previously been tested.  To test the hypothesis, multiple linear regression analysis, partial significance test (t test) and simultaneous significance test (f test) and determinant coefficient test were carried out. The results of data processing show that simultaneously e-WOM, e-trust and family have a significant influence on online purchasing decisions, but partially only the e-WOM and e-trust variables have a significant influence while the family variable does not have a significant influence on the Z generation's online purchasing decisions  in the city of Pekanbaru.  

Gene Identification in Mendelian Disorders Using Whole Exome Sequencing

Genetic disorders are a major cause of disabling conditions in regions of the world with high rates of consanguinity. Pakistan has a tradition of consanguineous marriages and therefore a high prevalence of Mendelian disorders. Charcot-Marie-Tooth syndrome and autosomal recessive spastic ataxia of Charlevoix-Saguenay affect peripheral nerves leading to severe foot deformity. Cerebral palsy, ataxia telangiectasia and hereditary multiple exostoses are some examples of the disorders that renders a person incapable of spending a normal life style. Such abnormalities may incapacitate the socioeconomic development of a country by putting forth major burden with respect to providing health care facilities. Importantly, ensuring the normality of a fetus will likely decrease the number of pregnancies a couple may have thereby decreasing the burden on society and family. Recent advancements in genomics enable genetic screening of large cohorts. Next generation sequencing technologies are used to identify genes, gene variants and variable expression associated with specific phenotypes. Exonic regions are known to contain most of the variants responsible for Mendelian disorders. Traditional approaches like linkage analysis and Sanger sequencing of candidate genes are costly or time consuming and a large samples size is required for this purpose. In this study ten inbred families from Pakistan were investigated using whole exome sequencing as a diagnostic and mutation identifying tool. Variants form whole exome sequencing were prioritized based on their functional relevance, disease association, pedigree information, inheritance pattern and pathogenicity scores using bioinformatics software. All the variants were validated through Sanger sequencing to rule out errors. Five novel mutations and two previously reported mutations were identified in this study. These variants were also evaluated for their functional impact using various bioinformatics tools. The findings in this study will help in understanding the disease mechanism and related pathways as well as annotating various entities of genome. The incidence of these disorders in Pakistan can be reduced through efficient carrier screening, genetic counseling, prenatal diagnosis and improved therapeutic approaches.