Zilkins, Daniils (2022) Identification of Prioritized SNPs Involved in Human Reproductive Behavior. Bachelor's Research Project, Life Science and Technology.
|
Text
Final Project Draft _P35.pdf Download (1MB) | Preview |
|
Text
toestemming.pdf Restricted to Registered users only Download (128kB) |
Abstract
In previously conducted studies, 371 specific germline substitution mutations, also known as SNPs, that are linked to human reproductive behavior have been identified through the GWAS analysis. Applied GWAS method was based on the linkage disequilibrium (LD), which is the association network that arises between DNA variants within the human genome. This study aims to identify functional SNPs through the post-GWAS analysis and create a list of prioritized genes underlying the GWAS signals. This list of genes could be the foundation for future laboratory studies and that may result in therapeutic applications and implementation of knowledge on the most relevant SNPs with a possible pathogenic effect on human reproductive behavior. The following research question is set to be answered – What are the most significant genes that are involved in human reproductive behavior, particularly in the context of AFB and AFS phenotypic traits? The study was concluded with the two lists, each consisting of five prioritized genes, that throug further bibliography analysis, indeed were found to be potential triggers of various disorders. Four of five genes from the first phase were linked to reproductive behavioral traits, as well as to different pathologies, of which some potentially affected reproduction. Although, further research is needed in order to confirm and test whether there is a certain connection between the increased disease risk and an SNP within the GWAS-associated genes.
Item Type: | Thesis (Bachelor's Research Project) |
---|---|
Supervisor name: | Nolte, I.M. |
Degree programme: | Life Science and Technology |
Thesis type: | Bachelor's Research Project |
Language: | English |
Date Deposited: | 07 Jun 2022 12:51 |
Last Modified: | 07 Jun 2022 12:51 |
URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/27168 |
Actions (login required)
View Item |