ReviewHuman genetics2020
Exploring the interactions between the human and viral genomes.
Review in Human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Toward a monogenic architecture of human infections: From 1996 to 2026.Journal of human immunity · 2026Review
- Demographic and genetic factors shape the epitope specificity of the human antibody repertoire against viruses.Nature immunology · 2026Article
- Genome-to-genome analysis reveals associations between human and mycobacterial genetic variation in tuberculosis patients from Tanzania.BMC medical genomics · 2025Article
- Mitochondrial Variation in Anopheles gambiae and Anopheles coluzzii: Phylogeographic Legacy and Mitonuclear Associations With Metabolic Resistance to Pathogens and Insecticides.Genome biology and evolution · 2024Article
- Joint host-pathogen genomic analysis identifies hepatitis B virus mutations associated with human NTCP and HLA class I variation.American journal of human genetics · 2024Article
- Human and pathogen genotype-by-genotype interactions in the light of coevolution theory.PLoS genetics · 2023Review
- G2GSnake: a Snakemake workflow for host-pathogen genomic association studies.Bioinformatics advances · 2023Article
- Human Immunotypes Impose Selection on Viral Genotypes Through Viral Epitope Specificity.The Journal of infectious diseases · 2021Article
- HIV-1 and human genetic variation.Nature reviews. Genetics · 2021Review
- The human genetic determinism of life-threatening infectious diseases: genetic heterogeneity and physiological homogeneity?Human genetics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the last decade, genome-wide association studies led to major advances in identifying human genetic variants associated with infectious disease susceptibility. On the pathogen side, comparable methods are now applied to identify disease-modulating pathogen variants. As host and pathogen variants jointly determine disease outcomes, the most recent development has been to explore simultaneously host and pathogen genomes, through so-called genome-to-genome studies. In this review, we provide some background on the development of genome-to-genome analysis and we detail the first wave of studies in this emerging field, which focused on patients chronically infected with HIV and hepatitis C virus. We also discuss the need for novel statistical methods to better tackle the issues of population stratification and multiple testing. Finally, we speculate on future research areas where genome-to-genome analysis may prove to be particularly effective.
Indexed as
Identifiers
31729546What Socratic 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 Socratic graph.