Luis Ramudo Cela

Luis Ramudo Cela


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2020
Verified
Journal Article
Closed access
LCLuis Ramudo Cela
Luis Ramudo Cela
JLJesos Maria Lopez-Marti
Jesos Maria Lopez-Marti
DCDaniel Colmeiro-Echeberria
Daniel Colmeiro-Echeberria
DDDavid de-Una-Iglesias
David de-Una-Iglesias
JSJose Luis Santome-Collazo
Jose Luis Santome-Collazo
LMLorenzo Monserrat-lglesias
Lorenzo Monserrat-lglesias

1 April 2026 in Pharmaceuticals
Verified
Journal Article
Open access
PDF file
LCLuis Ramudo Cela
Luis Ramudo Cela
MIMarta Izquierdo-García
Marta Izquierdo-García
MDMaría Dolores-Sequedo
María Dolores-Sequedo
VCVicente Cubells-Perez
Vicente Cubells-Perez
SBSara Bernal
Sara Bernal
JPJavier Porta
Javier Porta
Background/Objectives: Pharmacogenomics (PGx) enables personalized therapy by identifying genetic variants that influence drug response. Despite the advantages of next-generation sequencing (NGS), few clinically validated, guideline-aligned panels comprehensively detect common, rare, and structurally complex pharmacogenetic variants. Methods: We developed and analytically validated Action PharmaKitDx, a targeted NGS panel covering 335 pharmacogenes, including all priority genes recommended by CPIC, DPWG, and CPNDS. Performance was assessed using Coriell HapMap and GeT-RM reference materials across multiple library preparation workflows and Illumina platforms. Clinical feasibility was evaluated in 41 patient samples from diverse specialties. Results were compared with established reference methods, including PCR-based assays, STR analysis, Sanger sequencing, and whole-exome sequencing. Results: Analytical validation: More than 99% of target bases achieved ≥30× coverage. Analytical accuracy, sensitivity, specificity, and positive predictive value exceeded 99.3%, with repeatability and reproducibility >99.7%. Concordance with GeT-RM haplotypes reached 98% after star-allele harmonization. The panel accurately detected complex variants, including CYP2D6 copy-number changes and hybrid alleles. Clinical validation: Full concordance with prior genotyping was observed in clinical samples. Beyond the initial testing indication, each sample harbored a mean of six actionable variants (range 2–10). Thirty-six rare (minor allele frequency <1%) potentially actionable variants were additionally identified. Conclusions: Action PharmaKitDx demonstrates high analytical performance and broad clinical applicability, supporting its implementation as a scalable solution for comprehensive pharmacogenetic testing and precision prescribing.

26 February 2026 in Preprints.org
Verified
Preprint
Open access
PDF file
LCLuis Ramudo Cela
Luis Ramudo Cela
MIMarta Izquierdo-García
Marta Izquierdo-García
MDMaría Dolores-Sequedo
María Dolores-Sequedo
VCVicente Cubells-Perez
Vicente Cubells-Perez
SBSara Bernal
Sara Bernal
JPJavier Porta
Javier Porta
Background/Objectives: Pharmacogenomics (PGx) enables personalized therapy by identifying genetic variants that influence drug response. Despite the advantages of next-generation sequencing (NGS), few clinically validated, guideline-aligned panels comprehensively detect common, rare, and structurally complex pharmacogenetic variants. Methods: We developed and analytically validated Action PharmaKitDx, a targeted NGS panel covering 335 pharmacogenes, including all priority genes recommended by CPIC, DPWG, and CPNDS. Performance was assessed using Coriell HapMap and GeT-RM reference materials across multiple library preparation workflows and Illumina platforms. Clinical feasibility was evaluated in 41 patient samples from diverse specialties. Results were compared with established reference methods, including PCR-based assays, STR analysis, Sanger sequencing, and whole-exome sequencing. Results: More than 99% of target bases achieved ≥30× coverage. Analytical accuracy, sensitivity, specificity, and positive predictive value exceeded 99.3%, with repeatability and reproducibility >99.7%. Concordance with GeT-RM haplotypes reached 98% after star-allele harmonization. The panel accurately detected complex variants, including CYP2D6 copy-number changes and hybrid alleles. Full concordance with prior genotyping was observed in clinical samples. Beyond the initial testing indication, each sample harbored a mean of six actionable variants (range 2–10). Thirty-six rare (minor allele frequency <1%) potentially actionable variants were additionally identified. Conclusions: Action PharmaKitDx demonstrates high analytical performance and broad clinical applicability, supporting its implementation as a scalable solution for comprehensive pharmacogenetic testing and precision prescribing.