ReviewGenes2018
The Role of aDNA in Understanding the Coevolutionary Patterns of Human Sexually Transmitted Infections.
Review in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 26 citations in OpenAlex.
- Article
- Predictors of Recent Incidence Trends in Sexually Transmitted Infections: A Systematic Review Protocol.HRB open research · 2025Article
- Assessing the risk of cervical neoplasia in the post-HPV vaccination era.International journal of cancer · 2023Review
- Rickettsia felis DNA recovered from a child who lived in southern Africa 2000 years ago.Communications biology · 2023Article
- Advancements and Challenges in Ancient DNA Research: Bridging the Global North-South Divide.Genes · 2023Review
- Clinical Significance of the Interaction between Human Papillomavirus (HPV) Type 16 and Other High-Risk Human Papillomaviruses in Women with Cervical Intraepithelial Neoplasia (CIN) and Invasive Cervical Cancer.Journal of oncology · 2020Article
- Integrating evolution into medical education for women's health care practitioners.Evolution, medicine, and public health · 2020Review
- Disease transmission and introgression can explain the long-lasting contact zone of modern humans and Neanderthals.Nature communications · 2019Article
- Linked within-host and between-host models and data for infectious diseases: a systematic review.PeerJ · 2019Article
- Medicine in the Light of Evolution.Genes · 2018Article
- Evolutionary and Medical Consequences of Archaic Introgression into Modern Human Genomes.Genes · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Analysis of pathogen genome data sequenced from clinical and historical samples has made it possible to perform phylogenetic analyses of sexually transmitted infections on a global scale, and to estimate the diversity, distribution, and coevolutionary host relationships of these pathogens, providing insights into pathogen emergence and disease prevention. Deep-sequenced pathogen genomes from clinical studies and ancient samples yield estimates of within-host and between-host evolutionary rates and provide data on changes in pathogen genomic stability and evolutionary responses. Here we examine three groups of pathogens transmitted mainly through sexual contact between modern humans to provide insight into ancient human behavior and history with their pathogens. Exploring ancient pathogen genomic divergence and the ancient viral-host parallel evolutionary histories will help us to reconstruct the origin of present-day geographical distribution and diversity of clinical pathogen infections, and will hopefully allow us to foresee possible environmentally induced pathogen evolutionary responses. Lastly, we emphasize that ancient pathogen DNA research should be combined with modern clinical pathogen data, and be equitable and provide advantages for all researchers worldwide, e.g., through shared data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.