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Integrating Genetics into Population-based Studies
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Tai, Caroline G. |
| 단체저자명 | University of California, San Francisco. Epidemiology and Translational Science. |
| 서명/저자사항 | Integrating Genetics into Population-based Studies. |
| 발행사항 | [S.l.] : University of California, San Francisco., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 104 p. |
| 소장본 주기 | School code: 0034. |
| ISBN | 9780438250161 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: John S. Witte. |
| 요약 | As genotyping has become more affordable, there has been a growing effort to leverage genetic data to improve our understanding of the determinants of disease at the population level. New challenges arise with more widespread use of genetic data |
| 요약 | This dissertation was comprised of three projects that showcase important topics for epidemiologists to consider when using genetic data. These include developing genetic risk scores, determining the analysis method most suitable for the availab |
| 요약 | The first chapter explores differential genetic susceptibility between aggressive and non-aggressive prostate cancer and whether these differences can be used to develop a polygenic risk score for disease aggressiveness. This study was conducted |
| 요약 | The lessons learned from this dissertation provide evidence that genetic data allows for exploration of inherited susceptibilities that can influence risk of disease but care must be taken to understand which groups of individuals should be comp |
| 일반주제명 | Epidemiology. Genetics. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998678 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00028056 | 614.4 | 가야대학교// | 대출가능 |
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