Sustentación Tesis de Grado Maestrante: DIEGO ALEXANDER CHAVARRO MORENO.

Value of the Information & Strength of the Argument

The value of the information lies in its contribution to the limited genomic data from Colombia, providing insights into the application of WGS for monogenic diseases in a Latin American population. The argumentation is solid, with a clear logical flow from problem statement to methodology and results. The study acknowledges limitations, such as the low diagnostic yield and the dependence on clinical phenotype description, which strengthens its credibility. However, the presentation could have delved deeper into the clinical implications of the findings and the potential reasons for the low yield compared to literature (20-50%).

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is evident in the detailed methodology, including platform validation and adherence to ACMG guidelines. The sources cited are primarily from the literature and databases like OMIM, though specific references are not explicitly listed in the video. The title accurately reflects the content. The presentation is well-structured, but the lack of explicit source citations in the video is a minor weakness. The defense includes a public session with questions from the jury, which adds to the credibility.

The title accurately reflects the content, which focuses on whole-genome sequencing in patients with suspected monogenic diseases in Colombia.

7/10

The thesis defense presents original research with a clear methodology, including validation of sequencing platform, clinical characterization, and variant classification following ACMG guidelines. The study is limited by a small sample size and a diagnostic yield of 9.43%, which is lower than reported ranges, but the work is transparent about limitations and adheres to ethical standards.

Markers derived by PSI from the transcript: the creator did not define chapters.

• 02:00Introduction to monogenic diseases and their definition.
• 05:00Epidemiological data on monogenic diseases globally and in Colombia.
• 10:00Problem statement: diagnostic odyssey and economic burden.
• 15:00Objectives of the study.
• 20:00Methodology: study design, inclusion criteria, and ethical considerations.
• 25:00Laboratory workflow: DNA extraction, library preparation, sequencing.
• 30:00Bioinformatics analysis and variant classification.
• 35:00Platform verification and inter-laboratory comparison.
• 40:00Results: demographic and clinical characteristics of the cohort.
• 45:00Results: diagnostic yield and variant types.
• 50:00Case presentations of the 10 diagnosed patients.

• OMIM (Online Mendelian Inheritance in Man) — Referenced as a database for monogenic diseases.
• ACMG Guidelines for Variant Classification — Used for classifying variants as pathogenic or likely pathogenic.

• Whole-genome sequencing in clinical practice — Supports the utility of WGS in diagnosing monogenic diseases.

• Diagnostic yield of WGS in rare diseases — Reports higher diagnostic yields (20-50%) compared to the 9.43% found in this study, possibly due to differences in patient selection and variant interpretation.