자료유형 | 학위논문 |
---|---|
서명/저자사항 | Strategies for Improving Epistasis Detection and Replication. |
개인저자 | Piette, Elizabeth Rachel. |
단체저자명 | University of Pennsylvania. Genomics and Computational Biology. |
발행사항 | [S.l.]: University of Pennsylvania., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 150 p. |
기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
ISBN | 9780438036017 |
학위논문주기 | Thesis (Ph.D.)--University of Pennsylvania, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Jason H. Moore. |
요약 | Genome-wide association studies (GWAS) have been extensively critiqued for their perceived inability to adequately elucidate the genetic underpinnings of complex disease. Of particular concern is "missing heritability," or the difference between |
요약 | Given our understanding of how biomolecules interact in networks and pathways, it is not unreasonable to conclude that the effect of variation at individual genetic loci may non-additively depend on and should be analyzed in the context of their |
요약 | Current methods for analyzing data from GWAS are not well-equipped to detect epistasis or replicate significant interactions. The multiple testing burden associated with testing each pairwise interaction quickly becomes nearly insurmountable wit |
요약 | Rather than renouncing GWAS and the wealth of associated data that has been accumulated as a failure, I propose the development of new techniques and incorporation of diverse data sources to analyze GWAS data in an epistasis-centric framework. |
일반주제명 | Genetics. |
언어 | 영어 |
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