Inherited conditions have implications not only for the individual affected but for the entire family. It is in this context that family communication of genetic risk information is important to understand. This paper aims to provide an overview of the construct of family communication of genetic risk and provide implications for healthcare providers. A search of relevant literature was done with electronic databases including PubMed, CINAHL, Embase, Scopus, and Web of Science. The findings from the literature were organized based on the Family Communication of Genetic Risk (FCGR) conceptual framework which highlights the attributes of the family communication of genetic risk process including influential factors, communication strategy, communication occurrence, and outcomes of communication. Healthcare providers need to understand how individuals share genetic risk with their family members so that appropriate support and interventions can be provided to them. This is especially important across countries, including the Philippines, as genetic services and testing move beyond the traditional medical genetics clinic to other medical specialties, a development where we would expect an increase in individuals and family members undergoing genetic evaluation and testing.

Humans ; Air Pollutants/adverse effects* ; Genotype ; China/epidemiology* ; Hypertension/epidemiology*

Inherited conditions have implications not only for the individual affected but for the entire family. It is in this context that family communication of genetic risk information is important to understand. This paper aims to provide an overview of the construct of family communication of genetic risk and provide implications for healthcare providers. A search of relevant literature was done with electronic databases including PubMed, CINAHL, Embase, Scopus, and Web of Science. The findings from the literature were organized based on the Family Communication of Genetic Risk (FCGR) conceptual framework which highlights the attributes of the family communication of genetic risk process including influential factors, communication strategy, communication occurrence, and outcomes of communication. Healthcare providers need to understand how individuals share genetic risk with their family members so that appropriate support and interventions can be provided to them. This is especially important across countries, including the Philippines, as genetic services and testing move beyond the traditional medical genetics clinic to other medical specialties, a development where we would expect an increase in individuals and family members undergoing genetic evaluation and testing.
communication ; family ; genetic predisposition to disease ; genetic testing

OBJECTIVE: To summarize the gene therapy strategies for neurofibromatosis type 1 (NF1) and related research progress. METHODS: The recent literature on gene therapy for NF1 at home and abroad was reviewed. The structure and function of the NF1 gene and its mutations were analyzed, and the current status as well as future prospects of the transgenic therapy and gene editing strategies were summarized. RESULTS: NF1 is an autosomal dominantly inherited tumor predisposition syndrome caused by mutations in the NF1 tumor suppressor gene, which impair the function of the neurofibromin and lead to the disease. It has complex clinical manifestations and is not yet curable. Gene therapy strategies for NF1 are still in the research and development stage. Existing studies on the transgenic therapy for NF1 have mainly focused on the construction and expression of the GTPase-activating protein-related domain in cells that lack of functional neurofibromin, confirming the feasibility of the transgenic therapy for NF1. Future research may focus on split adeno-associated virus (AAV) gene delivery, oversized AAV gene delivery, and the development of new vectors for targeted delivery of full-length NF1 cDNA. In addition, the gene editing tools of the new generation have great potential to treat monogenic genetic diseases such as NF1, but need to be further validated in terms of efficiency and safety. CONCLUSION Gene therapy, including both the transgenic therapy and gene editing, is expected to become an important new therapeutic approach for NF1 patients.
Humans ; Neurofibromatosis 1/pathology* ; Neurofibromin 1/metabolism* ; GTPase-Activating Proteins ; Mutation ; Genetic Predisposition to Disease ; Genetic Therapy

OBJECTIVES

To determine the phenotypic and genotypic characterization of individuals with retinitis pigmentosa (RP), identify their genetic etiologies, and provide counseling to affected patients.

This non-interventional, observational study evaluated 18 patients with clinically-diagnosed RP from 15 different families. The patients underwent complete ophthalmological examination with retinal functional and morphologic assessment. Genetic testing was done using next-generation sequencing.

Ten gene mutations with 22 variants were identified. The inheritance pattern was predominantly autosomal recessive (70%). The most common mutation was EYS (27.8%). One possible novel gene, RGS7, and novel variants of CNGB1 were identified. Characteristic RP profiles were observed, with syndromic findings noted in USH2A and BBS5 mutations.

Phenotypic characteristics among different gene mutations have distinct features. This is the first study in the country to demonstrate the genotypic heterogeneity of RP, displaying 22 variants with 3 noted novel mutations.

Introduction: The purpose of this study was to determine the possible differences in genetic polymorphisms and serum levels of chromogranin A (CgA), according to age and sex, in subjects with and without metabolic syndrome (MetS). Methodology: The genotyping and serum level of CgA and biochemical parameters were measured by the T-ARMS-PCR and PCR-RFLP and ELISA and spectrophotometer methods, respectively. Results: A comparison of males with and without MetS showed significantly lower high-density lipoprotein-cholesterol (HDL-C) levels than those of females. At ages 30-70 years, both sexes showed significant differences in triglycerides (TG), fasting blood sugar (FBS), CgA levels and waist circumference (WC) when compared to the two groups. Both sexes with MetS indicated significant differences in systolic blood pressure (SBP) at ages 40-70 years, while at ages 40-59 years, there was a significant difference in HDL-C level in males. There was a significant correlation between serum levels of FBS, TG, SBP and WC (in both sexes), and CgA in subjects with MetS. Significant correlation was found between HDL-C level and diastolic blood pressure (DBP), and CgA level in males and females, respectively. CgA genotype frequency (T-415C and C+87T polymorphisms) showed no significant differences between males and females with and without MetS, while there was only a significant difference in frequency of the genotypes T-415C when compared to males with and without MetS. Conclusion The CgA appears to be strongly associated with MetS components in both sexes. Variation in CgA gene expression may affect the T–415C polymorphism in males. This may mean that the structure of CgA genetics differs in different ethnic groups. Differences in the serum level and expression of CgA gene may show valuable study results that it may be expected a relationship between these variables and the MetS.
Sex ; Chromogranin A ; Genotype ; Metabolic Syndrome

Humans ; Genetic Predisposition to Disease ; Multifactorial Inheritance ; Genome-Wide Association Study ; Risk Factors

Humans ; Transcriptome/genetics* ; East Asian People ; Genetic Predisposition to Disease ; Genome-Wide Association Study ; Pulmonary Disease, Chronic Obstructive/genetics* ; Polymorphism, Single Nucleotide/genetics*

Child ; Humans ; Case-Control Studies ; East Asian People ; Genetic Predisposition to Disease/genetics* ; Methyltransferases/genetics* ; Polymorphism, Genetic ; Wilms Tumor/pathology*

BACKGROUND: A polygenic risk score (PRS) derived from 112 single-nucleotide polymorphisms (SNPs) for gastric cancer has been reported in Chinese populations (PRS-112). However, its performance in other populations is unknown. A functional PRS (fPRS) using functional SNPs (fSNPs) may improve the generalizability of the PRS across populations with distinct ethnicities. METHODS: We performed functional annotations on SNPs in strong linkage disequilibrium (LD) with the 112 previously reported SNPs to identify fSNPs that affect protein-coding or transcriptional regulation. Subsequently, we constructed an fPRS based on the fSNPs by using the LDpred2-infinitesimal model and then analyzed the performance of the PRS-112 and fPRS in the risk prediction of gastric cancer in 457,521 European participants of the UK Biobank cohort. Finally, the performance of the fPRS in combination with lifestyle factors were evaluated in predicting the risk of gastric cancer. RESULTS: During 4,582,045 person-years of follow-up with a total of 623 incident gastric cancer cases, we found no significant association between the PRS-112 and gastric cancer risk in the European population (hazard ratio [HR] = 1.00 [95% confidence interval (CI) 0.93-1.09], P = 0.846). We identified 125 fSNPs, including seven deleterious protein-coding SNPs and 118 regulatory non-coding SNPs, and used them to construct the fPRS-125. Our result showed that the fPRS-125 was significantly associated with gastric cancer risk (HR = 1.11 [95% CI, 1.03-1.20], P = 0.009). Compared to participants with a low fPRS-125 (bottom quintile), those with a high fPRS-125 (top quintile) had a higher risk of incident gastric cancer (HR = 1.43 [95% CI, 1.12-1.84], P = 0.005). Moreover, we observed that participants with both an unfavorable lifestyle and a high genetic risk had the highest risk of incident gastric cancer (HR = 4.99 [95% CI, 1.55-16.10], P = 0.007) compared to those with both a favorable lifestyle and a low genetic risk. CONCLUSION These results indicate that the fPRS-125 derived from fSNPs may act as an indicator to measure the genetic risk of gastric cancer in the European population.
Humans ; Prospective Studies ; Stomach Neoplasms/genetics* ; Genetic Predisposition to Disease/genetics* ; Risk Factors ; Multifactorial Inheritance/genetics* ; Polymorphism, Single Nucleotide/genetics* ; Genome-Wide Association Study