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Harnessing Genomic Surveillance to Characterize the Molecular Epidemiology and Uncover Antiviral Resistance Mechanisms of SARS-CoV-2
Harnessing Genomic Surveillance to Characterize the Molecular Epidemiology and Uncover Antiviral Resistance Mechanisms of SARS-CoV-2
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151415
- ISBN
- 9798382761275
- DDC
- 574
- 저자명
- Ling Hu, Ted.
- 서명/저자
- Harnessing Genomic Surveillance to Characterize the Molecular Epidemiology and Uncover Antiviral Resistance Mechanisms of SARS-CoV-2
- 발행사항
- [Sl] : Northwestern University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 302 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
- 주기사항
- Advisor: Hultquist, Judd F.
- 학위논문주기
- Thesis (Ph.D.)--Northwestern University, 2024.
- 초록/해제
- 요약SARS-CoV-2, the causative agent of COVID-19, has had a devastating impact, resulting in over 7 million deaths worldwide. Like most viruses, SARS-CoV-2 has continued to evolve in order to adapt to selective pressures such as therapeutics and vaccines. These mutations have resulted in variants that demonstrate enhanced transmissibility, immune escape, or antiviral resistance. Genomic surveillance provides a framework in which to track the emergence of these mutations. We begin by outlining the genomic surveillance pipeline and address challenges and potential solutions associated with stage. Integrating these solutions, we conducted genomic surveillance to assess the association between SARS-CoV-2 clade and patient outcome over a two-year period. By the inclusion of population-level confounders, which includes sampling bias, we highlight the importance of integrating non-virological factors when examining patient risk. Furthermore, using the same approach, we examined the impact of remdesivir on SARS-CoV-2 diversity and evolution in vivo. Using sequences collected from patients before and after remdesivir administration, we identified several positions that showed preferential diversification after remdesivir treatment, several of which were associated with enhanced viral fitness. Taken together, our studies highlight the significant impact of SARS-CoV-2 mutations on disease dynamics as well as therapeutic interventions and emphasizes the necessity of using an integrative modeling approach to assess the impact of viral mutations. These findings underscore the ongoing evolution of the virus and the critical role of genomic surveillance in informing public health interventions and treatment strategies.
- 일반주제명
- Bioinformatics
- 일반주제명
- Biology
- 일반주제명
- Public health
- 일반주제명
- Epidemiology
- 일반주제명
- Genetics
- 키워드
- Remdesivir
- 키워드
- Immune escape
- 기타저자
- Northwestern University Driskill Graduate Training Program in Life Sciences
- 기본자료저록
- Dissertations Abstracts International. 85-11B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■24510▼aHarnessing Genomic Surveillance to Characterize the Molecular Epidemiology and Uncover Antiviral Resistance Mechanisms of SARS-CoV-2
■260 ▼a[Sl]▼bNorthwestern University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a302 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-11, Section: B.
■500 ▼aAdvisor: Hultquist, Judd F.
■5021 ▼aThesis (Ph.D.)--Northwestern University, 2024.
■520 ▼aSARS-CoV-2, the causative agent of COVID-19, has had a devastating impact, resulting in over 7 million deaths worldwide. Like most viruses, SARS-CoV-2 has continued to evolve in order to adapt to selective pressures such as therapeutics and vaccines. These mutations have resulted in variants that demonstrate enhanced transmissibility, immune escape, or antiviral resistance. Genomic surveillance provides a framework in which to track the emergence of these mutations. We begin by outlining the genomic surveillance pipeline and address challenges and potential solutions associated with stage. Integrating these solutions, we conducted genomic surveillance to assess the association between SARS-CoV-2 clade and patient outcome over a two-year period. By the inclusion of population-level confounders, which includes sampling bias, we highlight the importance of integrating non-virological factors when examining patient risk. Furthermore, using the same approach, we examined the impact of remdesivir on SARS-CoV-2 diversity and evolution in vivo. Using sequences collected from patients before and after remdesivir administration, we identified several positions that showed preferential diversification after remdesivir treatment, several of which were associated with enhanced viral fitness. Taken together, our studies highlight the significant impact of SARS-CoV-2 mutations on disease dynamics as well as therapeutic interventions and emphasizes the necessity of using an integrative modeling approach to assess the impact of viral mutations. These findings underscore the ongoing evolution of the virus and the critical role of genomic surveillance in informing public health interventions and treatment strategies.
■590 ▼aSchool code: 0163.
■650 4▼aBioinformatics
■650 4▼aBiology
■650 4▼aPublic health
■650 4▼aEpidemiology
■650 4▼aGenetics
■653 ▼aAntiviral resistance
■653 ▼aGenomic surveillance
■653 ▼aRemdesivir
■653 ▼aImmune escape
■690 ▼a0715
■690 ▼a0306
■690 ▼a0369
■690 ▼a0766
■690 ▼a0573
■71020▼aNorthwestern University▼bDriskill Graduate Training Program in Life Sciences.
■7730 ▼tDissertations Abstracts International▼g85-11B.
■790 ▼a0163
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161577▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
