ArticleMethods in molecular biology (Clifton, N.J.)2025
Integrated Multi-omics Approaches for Studying Rare Genetic Diseases.
Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Personalized Medicine, Storied Past, Contentious Present, Promising Future.Journal of personalized medicine · 2026Article
- Article
- The impact of low carbohydrate diet on the plasma proteomic profile of individuals with obesity.Frontiers in nutrition · 2026Article
- Label-free quantitative urinary proteomics for non-invasive biomarker discovery in endometrial cancer.Frontiers in medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the transformation of genomics and genetics, DNA- and RNA-based information provides only a partial view of disease etiology and pathogenesis. This has increased awareness that genetic and gene expression data must be integrated with downstream product activity and cellular metabolite regulation to understand disease processes fully.By simultaneously analyzing the genome, transcriptome, proteome, and metabolome, crucial molecular pathways and novel biomarkers associated with various genetic diseases have been identified using multi-omics approaches. A more comprehensive understanding of the complex interactions between genetic factors (genotype) and disease development (phenotype) has been enabled by these approaches.This chapter describes multi-omics protocols for genetic diseases, emphasizing metabolomics and proteomics approaches.
Indexed as
Identifiers
40515983What 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.