Biomedical subjects

Cynthia Ko

Publications and source records attributed to Cynthia Ko.

3 recordsLinked to original sources

PubMed2025

Feasibility of using patient navigation to improve identification of hereditary cancer syndromes in newly diagnosed patients with colorectal cancer.

PURPOSE: Germline genetic testing to identify hereditary cancer syndromes in patients newly diagnosed with colorectal cancer (CRC) carries substantial benefits. We examined the feasibility of using patient navigation, an evidence-based approach to reduce structural barriers to recommended care, to improve test completion by increasing pretest counseling attendance. METHODS: We conducted key informant interviews with representatives from organizations providing cancer care to CRC patients. Interviews included questions derived from the Consolidated Framework for Implementation Research, which delineates barriers and facilitators to implementing evidence-based practices. We used an inductive-deductive coding approach to identify themes related to program feasibility. RESULTS: We interviewed 19 participants across 13 organizations. Key feasibility barriers included funding to implement and sustain a navigation program, staffing and supervising the navigator role, health information technology needs, gaining administrators' buy-in, and evolving genetic service delivery models. Participants suggested multiple strategies to address implementation barriers, but most would prefer other approaches to improve genetic test completion over implementing a genomics-focused patient navigation program. CONCLUSION: Stakeholders across a range of health care organizations saw limited value in improving the identification of hereditary CRC syndromes by implementing a program designed to increase pretest genetic counseling attendance. The need to scale up genetic testing has shifted interest toward delivery models better integrated in established care pathways, requiring fewer resources and providing broader reach.

Humans↗

PubMed2003

Conserved noncoding sequences in the grasses.

As orthologous genes from related species diverge over time, some sequences are conserved in noncoding regions. In mammals, large phylogenetic footprints, or conserved noncoding sequences (CNSs), are known to be common features of genes. Here we present the first large-scale analysis of plant genes for CNSs. We used maize and rice, maximally diverged members of the grass family of monocots. Using a local sequence alignment set to deliver only significant alignments, we found one or more CNSs in the noncoding regions of the majority of genes studied. Grass genes have dramatically fewer and much smaller CNSs than mammalian genes. Twenty-seven percent of grass gene comparisons revealed no CNSs. Genes functioning in upstream regulatory roles, such as transcription factors, are greatly enriched for CNSs relative to genes encoding enzymes or structural proteins. Further, we show that a CNS cluster in an intron of the knotted1 homeobox gene serves as a site of negative regulation. We showthat CNSs in the adh1 gene do not correlate with known cis-acting sites. We discuss the potential meanings of CNSs and their value as analytical tools and evolutionary characters. We advance the idea that many CNSs function to lock-in gene regulatory decisions.

5' Flanking Region↗

PubMed2002

A high-throughput Arabidopsis reverse genetics system.

A collection of Arabidopsis lines with T-DNA insertions in known sites was generated to increase the efficiency of functional genomics. A high-throughput modified thermal asymmetric interlaced (TAIL)-PCR protocol was developed and used to amplify DNA fragments flanking the T-DNA left borders from approximately 100000 transformed lines. A total of 85108 TAIL-PCR products from 52964 T-DNA lines were sequenced and compared with the Arabidopsis genome to determine the positions of T-DNAs in each line. Predicted T-DNA insertion sites, when mapped, showed a bias against predicted coding sequences. Predicted insertion mutations in genes of interest can be identified using Arabidopsis Gene Index name searches or by BLAST (Basic Local Alignment Search Tool) search. Insertions can be confirmed by simple PCR assays on individual lines. Predicted insertions were confirmed in 257 of 340 lines tested (76%). This resource has been named SAIL (Syngenta Arabidopsis Insertion Library) and is available to the scientific community at www.tmri.org.

Agrobacterium tumefaciens↗