ArticleCell genomics2023
The functional impact of rare variation across the regulatory cascade.
Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Advancing risk gene discovery across the allele frequency spectrum.HGG advances · 2026Review
- Decoding common and rare noncoding variant effects across cellular and developmental contexts.Nature genetics · 2026Article
- Population-scale detection of methylation outliers from long-read genome sequencing.medRxiv : the preprint server for health sciences · 2026Article
- Article
- Long-read genome sequencing and multi-omics in aging and neurodegeneration.medRxiv : the preprint server for health sciences · 2025Article
- Integration of transcriptomics and long-read genomics prioritizes structural variants in rare disease.Genome research · 2025Article
- Mapping the regulatory effects of common and rare non-coding variants across cellular and developmental contexts in the brain and heart.bioRxiv : the preprint server for biology · 2025Article
- Advancing long-read nanopore genome assembly and accurate variant calling for rare disease detection.American journal of human genetics · 2025Article
- Exome sequencing identifies genes for socioeconomic status in 350,770 individuals.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- GREGoR: Accelerating Genomics for Rare Diseases.ArXiv · 2024Article
- Engineering structural variants to interrogate genome function.Nature genetics · 2024Review
- Identifying dysregulated regions in amyotrophic lateral sclerosis through chromatin accessibility outliers.HGG advances · 2024Article
- Integration of transcriptomics and long-read genomics prioritizes structural variants in rare disease.medRxiv : the preprint server for health sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
38 authors.
Funding
Abstract
Each human genome has tens of thousands of rare genetic variants; however, identifying impactful rare variants remains a major challenge. We demonstrate how use of personal multi-omics can enable identification of impactful rare variants by using the Multi-Ethnic Study of Atherosclerosis, which included several hundred individuals, with whole-genome sequencing, transcriptomes, methylomes, and proteomes collected across two time points, 10 years apart. We evaluated each multi-omics phenotype's ability to separately and jointly inform functional rare variation. By combining expression and protein data, we observed rare stop variants 62 times and rare frameshift variants 216 times as frequently as controls, compared to 13-27 times as frequently for expression or protein effects alone. We extended a Bayesian hierarchical model, "Watershed," to prioritize specific rare variants underlying multi-omics signals across the regulatory cascade. With this approach, we identified rare variants that exhibited large effect sizes on multiple complex traits including height, schizophrenia, and Alzheimer's disease.
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.