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

Deconvolution-based cell-type specific DNA methylation-wide and transcriptome-wide association studies identify risk CpG sites and genes associated with colorectal cancer risk

This study introduces a deconvolution-informed framework to analyze cell-type-specific DNA methylation and gene expression in normal colon tissues, identifying novel risk loci, prioritizing candidate genes with multi-omics evidence, and revealing potential therapeutic targets for colorectal cancer.

Li, Q., Xu, L., Wang, J., Li, C., Wen, W., Shu, X., Yang, Y., Shu, X.-o., Cai, Q., Long, J., Singh, B., Lau, K. S., Yin (…)2026-06-12
📄 genetic and genomic medicine

OmicsPred as a centralised resource for genetic prediction of multi-omic traits

To address the fragmentation of multi-omic imputation models, the authors developed OmicsPred, a centralized platform that unifies over 3.3 million genetic prediction models with standardized metadata and formats to facilitate findability, interoperability, and systematic target discovery.

Foguet, C., Gil, L., Xu, Y., Salazar-Magana, S., Rtichie, S. C., Persyn, E., Im, H. K., Inouye, M., Lambert, S. A.2026-06-11
📄 genetic and genomic medicine

Prevalence of pfkelch13 Mutations and Clinical Indicators of Artemisinin Partial Resistance in Africa: A Systematic Review and Meta-Analysis of Observational Cohorts

This systematic review and meta-analysis reveals a 6% pooled prevalence of validated *pfkelch13* mutations indicating artemisinin partial resistance in Africa, characterized by a stark geographic divide with zero prevalence in West and Central Africa but significant expansion in East African hotspots like Rwanda and Northern Uganda.

Munyangi wa Nkola, J., Akilimali Zalagile, P., Lukuke Mbutshu, H., Kabala Munyemo, S., Ramazani Bin Eradi, I., CAMARA, A (…)2026-06-10
📄 genetic and genomic medicine

Genetic Architecture of Placental Efficiency for Term Infants: Evidence from Monoaminergic Pathways and Placental Tissue Expression in the Norwegian Mother, Father and Child Cohort Study (MoBa)

This study identifies a distinct genetic architecture for placental efficiency in the MoBa cohort, revealing that monoaminergic pathways and placental tissue expression link placental function to offspring neurodevelopment while showing minimal genetic overlap with birth weight.

Andersen, J. O., Nerland, S., Jaholkowski, P. P., Ursini, G., Djurovic, S., Staff, A. C., Dale, A., Andreassen, O., Agar (…)2026-06-07
📄 genetic and genomic medicine

Metatranscriptomics-Derived Disease Risk Scores as a Preventive, Diagnostic, and Treatment Support Tool

This study presents and validates a metatranscriptomics-based Disease Risk Score (DRS) framework that integrates active microbial and human gene expression signals from stool, saliva, and blood to stratify risk for 15 chronic conditions, demonstrating its potential as an adjunct decision-support tool for preventive, diagnostic, and treatment guidance in clinical scenarios characterized by uncertainty or delayed diagnosis.

Hu, L., Bass, M., Patridge, E., Molusky, M., Antoine, G., Vuyisich, M., Banavar, G.2026-06-06
📄 genetic and genomic medicine

DHDDS-related juvenile parkinsonism is caused by impaired lipid metabolism, glycosylation, and mitochondrial dysfunction, which can be rescued by NAD⁺ treatment.

This study demonstrates that DHDDS-related juvenile parkinsonism arises from impaired lipid metabolism, glycosylation defects, and mitochondrial dysfunction in patient-derived brain organoids, and that these pathological features, along with associated clinical symptoms, can be effectively rescued by NAD⁺ precursor (NMN) treatment.

Muffels, I. J. J., Kantautas, K. A., MacDonald, G., Garapati, K., Pasupuleti, R. R., Tinker, R. J., Shah, R., Thevandava (…)2026-06-05✓ Author reviewed
📄 genetic and genomic medicine

Prioritizing embryos with lower homozygosity may reduce disease risk in children of related individuals undergoing preimplantation genetic testing

This paper proposes that integrating embryo-level autozygosity quantification (FROH) into existing preimplantation genetic testing workflows allows couples from consanguineous unions to prioritize embryos with lower homozygosity, potentially reducing the risk of intellectual disability and recessive diseases by approximately 35–45%.

Wolfram, T., Ahangari, M., Davidson, I., Wartschinski, L., Li, J. H., Eyre, M., Stern, D., Schleede, J., Haghighi, A., C (…)2026-06-04
📄 genetic and genomic medicine

The Biobank Rare Variant consortium powers the discovery of rare genetic associations through global collaboration

The Biobank Rare Variant Analysis (BRaVa) consortium leverages a global meta-analysis of over 1.2 million individuals across ten diverse biobanks to discover 514 rare gene-trait associations, demonstrating that federated integration significantly enhances the detection of rare genetic variants and their biological mechanisms beyond the capacity of individual cohorts.

Palmer, D. S., Hill, B., Hodgson, S., Joeloo, M., Kalantzis, G., Kousathanas, A., Koyama, S., Lu, W., Namba, S., Rodrigu (…)2026-05-24
📄 genetic and genomic medicine

Artificial Intelligence-Based Chatbots in Genetic Counseling Practice: Current Uptake, Utilization, and Perspectives

A survey of North American genetic counselors reveals that while AI chatbots are widely used for general purposes and viewed as promising tools for improving workflow efficiency and patient education, their clinical adoption remains low due to concerns regarding accuracy, patient comprehension, and a lack of structured training.

Daley, N., Griswold, A., Moreno, L., Floyd, A., Duong, D., Solomon, B. D., Waikel, R. L.2026-05-24
📄 genetic and genomic medicine

Evaluation of the Contribution of Natural Selection to Greater Cardiometabolic Disease Risk in South Asian Populations

This study suggests that while ancient or polygenic selection on standing variation likely contributed to the higher cardiometabolic disease risk in South Asian populations compared to Europeans, recent selective sweeps and gene-gene or gene-environment interactions are unlikely to be the primary drivers of this disparity.

Searby, D. J. C., Hemani, G., Chong, A., Lawson, D. J., Chaturvedi, N. J., Davey Smith, G.2026-05-22