ArticleAmerican journal of human genetics2024
Interaction molecular QTL mapping discovers cellular and environmental modifiers of genetic regulatory effects.
Article in American journal of human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed.
- Single-nucleus atlas of cell-type specific genetic regulation in the human brain.Nature genetics · 2026Article
- Mapping genetic regulation of gene expression to cellular contexts identifies long non-coding RNAs associated with brain disorders.Nature communications · 2026Article
- DetectGxT: detecting gene-by-treatment interactions on molecular count phenotypes accounting for allelic additivity.bioRxiv : the preprint server for biology · 2026Article
- BMI-genome interactions regulate global gene expression with emphasis in brain and gut.Cell genomics · 2026Article
- Beyond the baseline: mapping the context-specific regulatory landscape of disease.Trends in genetics : TIG · 2026Review
- Review
- Article
- Integrating multi-omic QTLs and predictive models reveals regulatory architectures at immune related GWAS loci in CD4+ T cells.medRxiv : the preprint server for health sciences · 2026Article
- Whole genome sequence analysis of pulmonary function and COPD in 44,287 multi-ancestry participants.Genome biology · 2026Article
- Integration of dilated cardiomyopathy genomics with transcriptomics from the human heart implicates regulatory molecular mechanisms.medRxiv : the preprint server for health sciences · 2026Article
- Distributional genetic effects reveal context-dependent molecular regulation in human brain aging and Alzheimer's disease.Research square · 2025Article
- Mapping the landscape of cell type-dependent genetic regulation of DNA methylation across human tissues.Research square · 2025Article
- Genomic information contributing to the understanding of rheumatic diseases.EULAR rheumatology open · 2025Article
- Integrative genomics sheds light on the immunogenetics of tuberculosis in cattle.Communications biology · 2025Article
- Decomposed interaction testing improves detection of genetic modifiers of the relationship of dietary omega-3 fatty acid intake and its plasma biomarkers with hsCRP in the UK Biobank.Genes & nutrition · 2025Article
- Big data and artificial intelligence-aided crop breeding: Progress and prospects.Journal of integrative plant biology · 2025Review
- A unified framework for cell-type-specific eQTL prioritization by integrating bulk and scRNA-seq data.American journal of human genetics · 2025Article
- Decomposed interaction testing improves detection of genetic modifiers of the relationship of dietary omega-3 fatty acid intake and its plasma biomarkers with hsCRP in the UK Biobank.medRxiv : the preprint server for health sciences · 2024Article
- eQTLs identify regulatory networks and drivers of variation in the individual response to sepsis.Cell genomics · 2024Article
- Improved multi-ancestry fine-mapping identifiesmedRxiv : the preprint server for health sciences · 2024Article
Corrections and comments
- Update of
Authors and funding
21 authors.
Funding
Abstract
Bulk-tissue molecular quantitative trait loci (QTLs) have been the starting point for interpreting disease-associated variants, and context-specific QTLs show particular relevance for disease. Here, we present the results of mapping interaction QTLs (iQTLs) for cell type, age, and other phenotypic variables in multi-omic, longitudinal data from the blood of individuals of diverse ancestries. By modeling the interaction between genotype and estimated cell-type proportions, we demonstrate that cell-type iQTLs could be considered as proxies for cell-type-specific QTL effects, particularly for the most abundant cell type in the tissue. The interpretation of age iQTLs, however, warrants caution because the moderation effect of age on the genotype and molecular phenotype association could be mediated by changes in cell-type composition. Finally, we show that cell-type iQTLs contribute to cell-type-specific enrichment of diseases that, in combination with additional functional data, could guide future functional studies. Overall, this study highlights the use of iQTLs to gain insights into the context specificity of regulatory effects.
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.