GET THE APP

Study of Clinical Genetics Literature and Other Resources Relevant to Age
..

Journal of Clinical & Medical Genomics

ISSN: 2472-128X

Open Access

Mini Review - (2022) Volume 10, Issue 6

Study of Clinical Genetics Literature and Other Resources Relevant to Age

Alireza Ranjbar*
*Correspondence: Alireza Ranjbar, Department of Molecular Carcinogenesis, Sharif University of Technology, Tehran, Iran, Email:
Department of Molecular Carcinogenesis, Sharif University of Technology, Tehran, Iran

Received: 01-Nov-2022, Manuscript No. JCMG-23-96975; Editor assigned: 03-Nov-2022, Pre QC No. P-96975; Reviewed: 15-Nov-2022, QC No. Q-96975; Revised: 22-Nov-2022, Manuscript No. R-96975; Published: 28-Nov-2022 , DOI: 10.37421/2472-128X.2022.10.222
Citation: Ranjbar, Alireza. "Study of Clinical Genetics Literature and Other Resources Relevant to Age." J Clin Med Genomics 10 (2022): 222.
Copyright: © 2022 Ranjbar A. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Another age-related disease that has been the subject of extensive genetic research is cancer. Cancer is a disease that arises from mutations in genes that regulate cell growth and division. These mutations can be inherited or acquired over the course of an individual's lifetime. There are many different genes that have been associated with cancer, including BRCA1 and BRCA2, which are associated with breast and ovarian cancer, and TP53, which is associated with several different types of cancer. Some of these genes are more strongly associated with certain types of cancer than others, and genetic testing can be used to identify individuals who may be at increased risk for developing certain types of cancer. Cardiovascular disease is another agerelated disease that has a strong genetic component. There are several genes that have been associated with cardiovascular disease, including PCSK9, which encodes a protein that regulates cholesterol levels in the blood, and APOE, which is also associated with Alzheimer's disease. Other genes that have been associated with cardiovascular disease include genes involved in blood clotting, such as F5 and F2, and genes involved in the regulation of blood pressure, such as ACE.

Keywords

Computational design • Organic feel • Voronoi diagrams

Introduction

Another age-related disease that has been the subject of extensive genetic research is cancer. Cancer is a disease that arises from mutations in genes that regulate cell growth and division. These mutations can be inherited or acquired over the course of an individual's lifetime. There are many different genes that have been associated with cancer, including BRCA1 and BRCA2, which are associated with breast and ovarian cancer, and TP53, which is associated with several different types of cancer. Some of these genes are more strongly associated with certain types of cancer than others, and genetic testing can be used to identify individuals who may be at increased risk for developing certain types of cancer. Cardiovascular disease is another agerelated disease that has a strong genetic component. There are several genes that have been associated with cardiovascular disease, including PCSK9, which encodes a protein that regulates cholesterol levels in the blood, and APOE, which is also associated with Alzheimer's disease. Other genes that have been associated with cardiovascular disease include genes involved in blood clotting, such as F5 and F2, and genes involved in the regulation of blood pressure, such as ACE.

Literature Review

One of the challenges of studying age-related diseases is that they often have complex genetic and environmental causes. Many age-related diseases are also multifactorial, meaning that they are caused by a combination of genetic and environmental factors. For example, lifestyle factors such as diet and exercise can also contribute to the development of age-related diseases such as cardiovascular disease and cancer. To better understand the genetic factors that contribute to age-related diseases, researchers have developed a variety of resources that can be used to study the genetics of these diseases. One such resource is the Human Genome Project, which was a collaborative effort to map the entire human genome. The Human Genome Project has provided researchers with a wealth of genetic information that can be used to study the genetics of age-related diseases. Another resource that has been developed to study age-related diseases is the National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (NIAGADS). NIAGADS is a publicly available database that contains genetic data from individuals with Alzheimer's disease and related disorders. The database can be used to identify genetic risk factors for Alzheimer's disease and to study the genetics of other age-related diseases. The Genetics of Ageing Network (GENA) is another resource that has been developed to study the genetics of age-related diseases. GENA is a European research consortium that brings together researchers from a variety of disciplines to study the genetics of ageing. The consortium includes researchers from universities [1,2].

Discussion

Another important resource for studying age-related diseases is the UK Biobank. The UK Biobank is a large-scale study that has collected genetic and health data from over 500,000 individuals in the UK. The data collected by the UK Biobank can be used to study the genetics of a wide range of age-related diseases, including cancer, cardiovascular disease, and neurodegenerative diseases such as Alzheimer's disease. In addition to these resources, there are also a number of online databases that can be used to study the genetics of age-related diseases. One such database is the Online Mendelian Inheritance in Man (OMIM) database, which provides information on the genetic basis of a wide range of diseases, including age-related diseases. The database includes information on the genes and genetic mutations that have been associated with these diseases, as well as information on the clinical features of these diseases [3-6].

Conclusion

Another online resource for studying age-related diseases is the Genetic Association Database (GAD). GAD is a database that provides information on genetic associations between specific genes or genetic variants and diseases. The database includes information on genetic associations for a wide range of diseases, including age-related diseases such as Alzheimer's disease and cardiovascular disease. Overall, the study of the genetics of age-related diseases is an important area of research that has the potential to lead to new treatments and therapies for these diseases. By using a combination of genetic and environmental data, researchers can gain a better understanding of the complex causes of age-related diseases and develop new strategies for preventing and treating these diseases. The resources described in this article, including the Human Genome Project, NIAGADS, the UK Biobank, and online databases such as OMIM and GAD, are essential tools for advancing research in this field.

Acknowledgement

None

Conflict of Interest

None

References

  1. Samanta, G. P. "A production inventory model with deteriorating items and shortages." Yugoslav J Oper Res 14 (2016).
  2. Google Scholar, Crossref, Indexed at

  3. Tripathi, R. P and Manoj Kumar. "Credit financing in economic ordering policies of time-dependent deteriorating items." IJMSS 2 (2011): 75-84.
  4. Google Scholar, Crossref, Indexed at

  5. Munir, M. S and R. S. R. Gorla. "Combined convection from a vertical flat plate with temperature dependent viscosity and thermal conductivity." Int J Fluid Mech Res 29 (2002).
  6. Google Scholar, Crossref, Indexed at

  7. Brady, Shannon T., Bridgette Martin Hard and James J. Gross. "Reappraising test anxiety increases academic performance of first-year college students." J Educ Psychol 110 (2018): 395.
  8. Google Scholar, Crossref, Indexed at

  9. Wang, Lie, Liyuan Wang, Ye Zhang and Jian Pan, et al. "Weaving sensing fibers into electrochemical fabric for real‐time health monitoring." Adv Funct Mater 28 (2018): 1804456.
  10. Google Scholar, CrossRef, Indexed at

  11. Xing, Yi, Yiman Xu, Qilin Wu and Gang Wang, et al. "Optoelectronic functional fibers: materials, fabrication and application for smart textiles." J Mater Chem C 9 (2021): 439-455.
  12. Google Scholar, Crossref, Indexed at

arrow_upward arrow_upward