ArticleCell metabolism2019
Moving beyond GWAS and eQTL Analysis to Validated Hits in Chronic Kidney Disease.
Article in Cell metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 5 citations in OpenAlex.
- EQTL analyses are a formidable tool to define the immunogenetic mechanisms underpinning Spondyloarthropathies.Frontiers in immunology · 2025Article
- Precision Medicine in Kidney Transplantation: Just Hype or a Realistic Hope?Transplantation direct · 2021Article
- Toward a comprehensive view of cancer immune responsiveness: a synopsis from the SITC workshop.Journal for immunotherapy of cancer · 2019Review
Corrections and comments
- Comment on
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWAS) have identified multiple chronic kidney disease (CKD)-associated single-nucleotide polymorphisms (SNPs) mainly localized to non-coding genomic regions. To understand which genes and which cell types are affected by these genetic variants, compartment-specific transcriptome, genome, and epigenome data were analyzed in an integrative manner in a recent study by Qiu et al. (Qiu et al., 2018).
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.