The application of the principles of evolutionary biology into medicine was suggested long ago and is already providing insight into the ultimate causes of disease. However, a full systematic integration of medical genomics and evolutionary medicine is still missing. Here, we briefly review some cases where the combination of the two fields has proven profitable and highlight two of the main issues hindering the development of evolutionary genomic medicine as a mature field, namely the dissociation between fitness and health and the still considerable difficulties in predicting phenotypes from genotypes. We use publicly available data to illustrate both problems and conclude that new approaches are needed for evolutionary genomic medicine to overcome these obstacles.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.gde.2014.08.009 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The strong correlation between reproductive life cycle type and chromosome numbers in green plants has been a long-standing mystery in evolutionary biology. Within green plants, the derived condition of heterosporous reproduction has emerged from the ancestral condition of homospory in disparate locations on the phylogenetic tree at least 11 times, of which three lineages are extant. In all green plant lineages where heterospory has emerged, there has been a significant downsizing in chromosome numbers.
View Article and Find Full Text PDFMolecular Epidemiology of Type F Among Diarrheal Patients and Virulence-Resistance Dynamics - 11 Provinces, China, 2024.
China CDC Wkly
January 2025
Department of Clinical Laboratory, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou City, Zhejiang Province, China.
Introduction: Type F () represents a significant pathogen in human gastrointestinal diseases, primarily through its gene encoding enterotoxin (CPE). This investigation examined the prevalence, antimicrobial resistance patterns, and genetic characteristics of Type F within the Chinese population.
Methods: The study analyzed 2,068 stool samples collected from 11 provincial hospitals in 2024.
Evolutionary sparse learning (ESL) uses a supervised machine learning approach, Least Absolute Shrinkage and Selection Operator (LASSO), to build models explaining the relationship between a hypothesis and the variation across genomic features (e.g., sites) in sequence alignments.
View Article and Find Full Text PDFNatural variation in MdNAC5 contributes to fruit firmness and ripening divergence in apple.
Hortic Res
January 2025
State Key Laboratory of Crop Stress Biology for Arid Areas, College of Horticulture, Northwest A&F University, Yangling 712100, Shaanxi, China.
Fruit firmness is an important trait for characterizing the quality and value of apple. It also serves as an indicator of fruit maturity, as it is a complex trait regulated by multiple genes. Resequencing techniques can be employed to elucidate variations in such complex fruit traits.
View Article and Find Full Text PDFSelection of Early Life Codons by Ultraviolet Light.
ACS Cent Sci
January 2025
Systems Biophysics, Ludwig-Maximilians-University Munich, Amalienstr. 54, 80799 Munich, Germany.
How life developed in its earliest stages is a central but notoriously difficult question in science. The earliest lifeforms likely used a reduced set of codon sequences that were progressively completed over time, driven by chemical, physical, and combinatorial constraints. However, despite its importance for prebiotic chemistry, UV radiation has not been considered a selection pressure for the evolution of early codon sequences.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!