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Investigating how SNPs may affect relationship quality in romantic couples
University of Skövde, School of Health Sciences.
2021 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Meaningful relationships play a crucial role in human well-being by reducing stress, improving mental health, and decreasing morbidity. Internal factors such as genetic makeup is one factor that can affect relationship quality. The aim of this study was to explore if five different single nucleotide polymorphisms were associated with relationship quality in romantic couples and to find additional polymorphisms of interest through an extensive literature study. This association was examined by comparing genotypes for the rs53576 in the OXTR gene, 5-HTTLPR in the SLC6A4 gene, rs6295 in the HTR1A gene, rs41423247 in the NR3C1 gene and rs1360780 in the FKBP5 gene with couple satisfaction index scores. This data originated from a research project that had the overall aim to investigate the neural, endocrine, and genetic correlates of affective touch. Kruskal-Wallis tests were used to compare the couple satisfaction index scores to the different genotypes for the five polymorphism which showed no significant association with relationship quality. This resulted in a broad search for additional polymorphisms of interest where the rs3796863 in the CD38 gene appeared to be a promising candidate for association with relationship quality. Previous research indicated its association with anxiety, depression, and lower relationship satisfaction. In conclusion, no association could be observed between the five polymorphisms and relationship quality but the rs3796863 in the CD38 gene seem to have this association with relationship quality after conducting an extensive literature study. Additional laboratory experiments and statistical analyses would be needed to confirm this correlation.

Place, publisher, year, edition, pages
2021. , p. 21
National Category
Biomedical Laboratory Science/Technology
Identifiers
URN: urn:nbn:se:his:diva-19826OAI: oai:DiVA.org:his-19826DiVA, id: diva2:1567012
Subject / course
Biomedicine/Medical Science
Educational program
Biomedicine - Study Programme
Supervisors
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Available from: 2021-06-15 Created: 2021-06-15 Last updated: 2021-06-15Bibliographically approved

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CiteExportLink to record
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Citation style
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