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Full-Text Articles in Engineering
Multiple And Consecutive Genome Editing Using I-Gonad And Breeding Enrichment Facilitates The Production Of Genetically Modified Mice, Carolina R Melo-Silva, Cory J Knudson, Lingjuan Tang, Samita Kafle, Lauren E. Springer, Jihae Choi, Christopher M. Snyder, Yajing Wang, Sangwon V. Kim, Luis J. Sigal
Multiple And Consecutive Genome Editing Using I-Gonad And Breeding Enrichment Facilitates The Production Of Genetically Modified Mice, Carolina R Melo-Silva, Cory J Knudson, Lingjuan Tang, Samita Kafle, Lauren E. Springer, Jihae Choi, Christopher M. Snyder, Yajing Wang, Sangwon V. Kim, Luis J. Sigal
Department of Microbiology and Immunology Faculty Papers
Genetically modified (GM) mice are essential tools in biomedical research. Traditional methods for generating GM mice are expensive and require specialized personnel and equipment. The use of clustered regularly interspaced short palindromic repeats (CRISPR) coupled with improved-Genome editing via Oviductal Nucleic Acids Delivery (i-GONAD) has highly increased the feasibility of producing GM mice in research laboratories. However, genetic modification in inbred mouse strains of interest such as C57BL/6 (B6) is still challenging because of their low fertility and embryo fragility. We have successfully generated multiple novel GM mouse strains in the B6 background while attempting to optimize i-GONAD. We found …
Comparing Record Linkage Software Programs And Algorithms Using Real-World Data., Alan F. Karr, Matthew T. Taylor, Suzanne L. West, Soko Setoguchi, Tzuyung D. Kou, Tobias Gerhard, Daniel B. Horton
Comparing Record Linkage Software Programs And Algorithms Using Real-World Data., Alan F. Karr, Matthew T. Taylor, Suzanne L. West, Soko Setoguchi, Tzuyung D. Kou, Tobias Gerhard, Daniel B. Horton
Student Papers, Posters & Projects
Linkage of medical databases, including insurer claims and electronic health records (EHRs), is increasingly common. However, few studies have investigated the behavior and output of linkage software. To determine how linkage quality is affected by different algorithms, blocking variables, methods for string matching and weight determination, and decision rules, we compared the performance of 4 nonproprietary linkage software packages linking patient identifiers from noninteroperable inpatient and outpatient EHRs. We linked datasets using first and last name, gender, and date of birth (DOB). We evaluated DOB and year of birth (YOB) as blocking variables and used exact and inexact matching methods. …