Personal+Genomics+Behind+Endometriosis+Discussion

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The results from investigating the personal genomics of endometriosis have shown that there are some significant data on certain genes of interests available on the disease risk. Exploring the genes of interest with a correlation to the disease risk for endometriosis and all diseases is a very valuable tool for the future of human health. The more scientists and doctors understand about what personal genomics does for disease risks, the better population health of humans will be for the future. The results of the genes of interest come from many different sources and research labs around the world. It is important that research on personal genomics is available to all through online databases such as the GWAS catalog, 1000 genomes, HapMap and many more.

The genes that seem to have the most available information in regards to endometriosis are CHD5, WNT4 and CDKN2BAS1. These genes of interest had SNP data and genotypes alleles. The CDKN2BAS1 gene is one that is of particular interest because it has been researched in many different labs around the world, such as Japan and South Korea. One of the interesting aspects of studying the personal genomics of endometriosis is that the disease affects women from many different populations around the world so the data is diverse. Different populations allow researchers to experiment with differences in genetic makeup and better understand the disease risk. Furthermore, diversified population testing allows for researchers to discover more information on which allele genotypes may increased or decreased disease risk in regards to endometriosis.

Endometriosis, because it’s prevalence worldwide, is an important disease to study. Endometriosis is a disease that has a boarder impact because it can make the quality of life for women very poor in severe cases. The symptoms and characteristics of the disease are most often extremely painful and can impair fertility. The impairment of fertility is a boarder impact problem, especially if enough women are affected. Personal genomics and the field of personalized medicine may be able to use data shown in this study to improve the quality of life for women suffering with endometriosis.

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