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020 ▼a 9780438036017
035 ▼a (MiAaPQ)AAI10748763
035 ▼a (MiAaPQ)upenngdas:13128
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 575
1001 ▼a Piette, Elizabeth Rachel.
24510 ▼a Strategies for Improving Epistasis Detection and Replication.
260 ▼a [S.l.] : ▼b University of Pennsylvania., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 150 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Jason H. Moore.
5021 ▼a Thesis (Ph.D.)--University of Pennsylvania, 2018.
520 ▼a 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
520 ▼a 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
520 ▼a 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
520 ▼a 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.
590 ▼a School code: 0175.
650 4 ▼a Genetics.
690 ▼a 0369
71020 ▼a University of Pennsylvania. ▼b Genomics and Computational Biology.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0175
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997009 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자