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Modeling Sex as a Personalized Biological Variable Using the Drosophila Metabolome
Modeling Sex as a Personalized Biological Variable Using the Drosophila Metabolome
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211152921
- ISBN
- 9798384094654
- DDC
- 575
- 저자명
- Coig, Rene.
- 서명/저자
- Modeling Sex as a Personalized Biological Variable Using the Drosophila Metabolome
- 발행사항
- [Sl] : University of Washington, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 102 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-03, Section: B.
- 주기사항
- Advisor: Promislow, Daniel.
- 학위논문주기
- Thesis (Ph.D.)--University of Washington, 2024.
- 초록/해제
- 요약The research community now routinely considers "Sex as a Biological Variable" (SABV) in medical research and healthcare, because differences between genders/sexes can significantly impact disease prevalence, progression, and responses to treatment. Personalized medicine considers genetics and SABV, but a truly precise approach requires an understanding of how genetics and sex interact (GxS) to influence an individual's internal biochemistry. Currently, empirical research is lacking that assesses the degree to which genetic diversity contributes to variability in SABV. Animal models with robust genetic toolkits, such as Drosophila melanogaster, can be used to measure the prevalence of GxS interactions in a population, interactions that are difficult to detect in humans. This dissertation presents the results from two complementary projects measuring GxS interactions in the metabolome of Drosophila-a model for natural genetic variation and a model for monogenic, Mendelian genetic variation in sex characteristics (VSC). This work conceptualizes sex differences in metabolite levels as genotype-specific biological effects. The analyses presented here reveal that the effect of sex on the metabolome is far from binary or dichotomous, but rather falls along a continuum, with genotype playing a larger role than sex alone on most metabolite levels. I show that genetic variation in external, measurable dimorphic traits are associated with genetic variation in sex differences at a molecular level, which effectively renders biological sex a variable as unique and diverse as any individual genome. These studies underscore the importance of considering genetic context in research that incorporates SABV, and the potential pitfalls of analyzing sex as a fixed effect in statistical models.
- 일반주제명
- Genetics
- 일반주제명
- Biochemistry
- 일반주제명
- Gender studies
- 일반주제명
- Sexuality
- 키워드
- Gender/sex
- 키워드
- Metabolomics
- 기타저자
- University of Washington Laboratory Medicine and Pathology
- 기본자료저록
- Dissertations Abstracts International. 86-03B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
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■020 ▼a9798384094654
■035 ▼a(MiAaPQ)AAI31491474
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a575
■1001 ▼aCoig, Rene.
■24510▼aModeling Sex as a Personalized Biological Variable Using the Drosophila Metabolome
■260 ▼a[Sl]▼bUniversity of Washington▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a102 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-03, Section: B.
■500 ▼aAdvisor: Promislow, Daniel.
■5021 ▼aThesis (Ph.D.)--University of Washington, 2024.
■520 ▼aThe research community now routinely considers "Sex as a Biological Variable" (SABV) in medical research and healthcare, because differences between genders/sexes can significantly impact disease prevalence, progression, and responses to treatment. Personalized medicine considers genetics and SABV, but a truly precise approach requires an understanding of how genetics and sex interact (GxS) to influence an individual's internal biochemistry. Currently, empirical research is lacking that assesses the degree to which genetic diversity contributes to variability in SABV. Animal models with robust genetic toolkits, such as Drosophila melanogaster, can be used to measure the prevalence of GxS interactions in a population, interactions that are difficult to detect in humans. This dissertation presents the results from two complementary projects measuring GxS interactions in the metabolome of Drosophila-a model for natural genetic variation and a model for monogenic, Mendelian genetic variation in sex characteristics (VSC). This work conceptualizes sex differences in metabolite levels as genotype-specific biological effects. The analyses presented here reveal that the effect of sex on the metabolome is far from binary or dichotomous, but rather falls along a continuum, with genotype playing a larger role than sex alone on most metabolite levels. I show that genetic variation in external, measurable dimorphic traits are associated with genetic variation in sex differences at a molecular level, which effectively renders biological sex a variable as unique and diverse as any individual genome. These studies underscore the importance of considering genetic context in research that incorporates SABV, and the potential pitfalls of analyzing sex as a fixed effect in statistical models.
■590 ▼aSchool code: 0250.
■650 4▼aGenetics
■650 4▼aBiochemistry
■650 4▼aGender studies
■650 4▼aSexuality
■653 ▼aDrosophila Genetic Reference Panel
■653 ▼aGender/sex
■653 ▼aGenetics and sex interact
■653 ▼aMetabolomics
■653 ▼aSex as a Biological Variable
■690 ▼a0369
■690 ▼a0487
■690 ▼a0733
■690 ▼a0211
■71020▼aUniversity of Washington▼bLaboratory Medicine and Pathology.
■7730 ▼tDissertations Abstracts International▼g86-03B.
■790 ▼a0250
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17164194▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
