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RISS 인기검색어
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- 저자 : Christine Thomson (검색결과 2 건)
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Applying High-Throughput SNP Genotyping and Sequencing to Accelerate Progress in Rice Breeding
Michael J. Thomson,Christine Jade Dilla-Ermita,Maria Ymber Reveche,Maria Dwiyanti,Geraldine Malitic,Geisha Sanchez,Nadia Vieira,Venice Juanillas,Ramil Mauleon,Bertrand Collard,Joong Hyoun Chin,Eero Ni 한국육종학회 2014 한국육종학회 심포지엄 Vol.2014 No.07
We are currently developing a high-throughput single nucleotide polymorphism (SNP) genotyping service at IRRI to accelerate progress in rice breeding by providing rapid and cost-effective marker services. SNP marker development and validation is being performed based on cloned genes and QTLs, GWAS hits, and whole genome sequence data to identify predictive SNP markers at important genes for key traits for the breeding programs. Trait-based and targeted SNPs are being deployed in sets of 24 and 96 SNPs on a Fluidigm EP1 system. At the same time, 384 SNP sets and a 6K SNP chip developed by Susan McCouch at Cornell University are being used for higher density genome scans on an Illumina system. Genotyping by sequencing (GBS) approaches with 96 and 384 barcoded samples per sequence lane are also being evaluated in comparison to SNP array technology based on the number of loci, call rates, turnaround times, and cost per sample. An efficient sample processing workflow with an integrated LIMS is also being optimized to enable high throughput genotyping with sample tracking to minimize errors. Moreover, web-based SNP data analysis tools have been deployed through the IRRI Galaxy workbench to speed up SNP data analysis. Future efforts will focus on large-scale deployment of GBS across breeding materials to enable QC genotyping, tracking of donor introgressions, and integration of genome-wide prediction into the variety development pipelines. The large-scale application of high-density markers will help transform IRRI’s rice breeding programs and increase the rate of genetic gain towards developing high-yielding, stress-tolerant varieties for target environments and market segments
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A Durable Minimal Intervention Strategy to Reduce Benzodiazepine Use in a Primary Care Population
Stephen Davidson,Christine Thomson,Gordon Prescott 대한가정의학회 2020 Korean Journal of Family Medicine Vol.41 No.2
Background: Benzodiazepines are commonly prescribed drugs with approximately 10% of adults having used them in the past year. These drugs are clearly addictive, yet many patients are prescribed these for years, with longterm side effects. The present study aimed to investigate whether patients on repeat diazepam prescription had their prescription reviewed to reduce and to stop the repeat prescription wherever appropriate, and whether these changes were sustained at 24 months. Methods: The present study used a minimal intervention strategy to reduce diazepam use in a semi-rural general practice. Patients with a current prescription for diazepam were invited to visit their general practitioner for a review. Dose reduction grids were formulated for each individual to facilitate a downward titration by 1 mg each wk/ mo. Patients with psychiatric co-morbidity were also included. Interrupted time series methods were applied to the monthly data. The outcomes were evaluated at 12 and 24 months. Results: Ninety-two patients had diazepam on repeat prescription with 87 (94.6%) attending the review appointment. Twenty-seven patients (29.3%) were under psychiatric review and were supported by the psychiatrist with a downward titration regime. At 24 months, 63 patients (81.8% of the 77 still at the practice) had stopped or were in the process of stopping regular use of diazepam. A statistically significant reduction in total monthly diazepam prescription was observed (from 2.2 to 0.7 defined daily dose/1,000 patients/d). Conclusion: This minimal intervention strategy, in collaboration between primary and secondary care, produced a durable reduction in overall diazepam prescription at the general practice.
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