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Abstract
Individualized genetic therapies—medicines that precisely target a genetic variant that may only be found in a small number of individuals, as few as only one—offer promise for addressing unmet needs in genetic disease, but present unique challenges for trial design. By nature these new individualized medicines require testing in individualized N-of-1 trials. Here, we provide a framework for maintaining scientific rigor in N-of-1 trials. Building upon best practices from traditional clinical trial design, recent guidance from the United States Food and Drug Administration, and our own clinical research experience, we suggest key considerations including comprehensive baseline natural history, selection of appropriate clinical outcome assessments (COAs) individualized to the patient genotype-phenotype for safety and efficacy assessment over time, and specific statistical considerations. Standardization of N-of-1 trial designs in this fashion will maximize efficient learning from this next generation of targeted individualized therapeutics.
Individualized genetic therapies present unique challenges for trial design. Here, the authors present a framework which emphasizes scientific rigor, using natural history, tailored clinical outcomes, and statistical considerations to optimize trial efficiency.
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1 Rady Children’s Institute for Genomic Medicine, San Diego, USA (GRID:grid.286440.c) (ISNI:0000 0004 0383 2910); University of California, Department of Neurosciences, La Jolla, USA (GRID:grid.468726.9) (ISNI:0000 0004 0486 2046)
2 Rady Children’s Institute for Genomic Medicine, San Diego, USA (GRID:grid.286440.c) (ISNI:0000 0004 0383 2910); University of California, Department of Neurosciences, La Jolla, USA (GRID:grid.468726.9) (ISNI:0000 0004 0486 2046); n-Lorem Foundation, Carlsbad, USA (GRID:grid.468726.9)
3 n-Lorem Foundation, Carlsbad, USA (GRID:grid.468726.9)
4 Kennedy Krieger Institute, Department of Neurology, Baltimore, USA (GRID:grid.240023.7) (ISNI:0000 0004 0427 667X); Johns Hopkins School of Medicine, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311)
5 N=1 Collaborative, Somerville, USA (GRID:grid.21107.35)
6 Children’s Hospital Colorado, Department of Pediatrics, Baltimore, USA (GRID:grid.413957.d) (ISNI:0000 0001 0690 7621)
7 Rush University Medical Center, Department of Pediatrics, Chicago, USA (GRID:grid.240684.c) (ISNI:0000 0001 0705 3621)
8 St. Jude Children’s Research Hospital, Department of Pediatric Medicine, Memphis, USA (GRID:grid.240871.8) (ISNI:0000 0001 0224 711X)
9 N=1 Collaborative, Somerville, USA (GRID:grid.240871.8)
10 Seattle Children’s Hospital, Department of Pediatrics, Seattle, USA (GRID:grid.240741.4) (ISNI:0000 0000 9026 4165)
11 Kennedy Krieger Institute, Department of Neurology, Baltimore, USA (GRID:grid.240023.7) (ISNI:0000 0004 0427 667X)
12 New York State Institute for Basic Research in Developmental Disabilities, Department of Human Genetics, Staten Island, USA (GRID:grid.420001.7) (ISNI:0000 0000 9813 9625); The City University of New York, Graduate Center, New York, USA (GRID:grid.212340.6) (ISNI:0000 0001 2298 5718)
13 Heidelberg University Hospital, Department of Neurology, Heidelberg, Germany (GRID:grid.5253.1) (ISNI:0000 0001 0328 4908)
14 N=1 Collaborative, Somerville, USA (GRID:grid.5253.1); Boston Children’s Hospital, Division of Genetics and Genomics, Boston, USA (GRID:grid.2515.3) (ISNI:0000 0004 0378 8438); Harvard Medical School, Department of Pediatrics, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X)