Genetic and genomic medicine explores how our DNA shapes health, disease risk, and responses to treatment. This rapidly evolving field moves beyond simple family trees to examine the complex molecular instructions that guide every cell in the human body. By decoding these biological blueprints, researchers aim to unlock personalized therapies that target the root causes of illness rather than just treating symptoms.

On Gist.Science, we bring the latest discoveries directly from medRxiv, the leading preprint server for health sciences. We process every new submission in this category as it arrives, transforming dense academic findings into both detailed technical breakdowns and clear, plain-language summaries. This ensures that groundbreaking research is accessible to clinicians, scientists, and curious readers alike without the usual barriers of jargon.

Below are the most recent papers in genetic and genomic medicine, organized for your review.

📄 genetic and genomic medicine

PanelAppRex aggregates disease gene panels and facilitates sophisticated search

PanelAppRex is an openly available, harmonized resource and interactive search tool that aggregates over 58,000 curated gene-disease panel associations to facilitate sophisticated, natural language-based queries and seamless integration into bioinformatic pipelines for genomic diagnostics.

Quant Group,, Saadat, A., Boutry, S., Savic, S., Schlapbach, L. J., Fellay, J., Lawless, D.2026-03-06
📄 genetic and genomic medicine

Rare Cholesterol Related Disorders: A Sterolomic Library for Diagnosis and Monitoring of Diseases

This paper introduces the first mass spectrometry sterolomic library, utilizing Girard P derivatization and electrospray ionization, to facilitate the diagnosis and monitoring of rare inherited cholesterol-related disorders that currently lack specific diagnostic tests.

Asgari, M. A., Yutuc, E., Khalik, J. A., Crick, P. J., Morris, A. A., Jones, S. A., Ghosh, A., Curnock, R., Hart, C., Sc (…)2026-03-05
📄 genetic and genomic medicine

Impact of proteogenomic evidence on clinical success

This study demonstrates that incorporating plasma protein quantitative trait loci (pQTL) evidence significantly enhances the clinical success rate of therapeutic targets, increasing the likelihood of advancing from Phase I to launch by 4.7-fold compared to the 2.6-fold improvement seen with human genetic evidence alone.

Karim, M. A., Hukku, A., Ariano, B., Holzinger, E., Tsepilov, Y., Hayhurst, J., Buniello, A., McDonagh, E. M., Castel, S (…)2026-03-05
📄 genetic and genomic medicine

Molecular characterisation of a Klebsiella pneumoniae neonatal sepsis outbreak in a rural Gambian hospital: a retrospective genomic epidemiology investigation

This retrospective genomic epidemiology study utilized whole-genome sequencing to identify a multidrug-resistant *Klebsiella pneumoniae* ST39 strain as the cause of a fatal neonatal sepsis outbreak in a rural Gambian hospital, pinpointing contaminated multi-use intravenous fluids as the source and highlighting the global spread and high-risk nature of the SL39 sublineage.

Foster-Nyarko, E., Bah, A., Adefila, W. O., Osei, I., Barjo, O., Salaudeen, R., Able-Thomas, S., Jammeh, M., Nyassi, A. (…)2026-03-04
📄 genetic and genomic medicine

Insights Into Parkinsons Disease Genetics in African Populations: Expanded GWAS Identifies Ancestry-Specific and Cross-Population Risk Loci

This study presents the largest genome-wide association study of Parkinson's disease in African and African admixed populations to date, identifying both trans-ancestry risk loci and novel ancestry-specific variants, particularly in LRRK2, which validates current therapeutic targets and highlights the critical need for inclusive genetic research to advance precision medicine.

Okubadejo, N., Ojo, O. O., Abiodun, O., Abubakar, S., Abdulai, F., Achoru, C., Agabi, O., Agulanna, U., Akinyemi, R., Al (…)2026-03-03
📄 genetic and genomic medicine

Cross-ancestry performance of Parkinson's disease polygenic risk scores in admixed Latin American populations

This study demonstrates that in admixed Latin American populations, polygenic risk scores for Parkinson's disease derived from large European GWAS currently outperform those from smaller ancestry-matched datasets, though methods incorporating functional annotations like SBayesRC offer the best predictive performance, highlighting the urgent need for larger, diverse genetic studies to ensure equitable clinical translation.

Flores-Ocampo, V., Reyes-Perez, P., Ogonowski, N. S., Sevilla-Parra, G., Diaz-Torres, S., Leal, T. P., Waldo, E., Ruiz-C (…)2026-03-03