SynthesisNature communications2026
Genetic landscape and functional exploration of kidney cancer predisposition in cross-ancestral populations.
Synthesis in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Epidemiological Trends and Burden of Adult Kidney Cancer in Saudi Arabia: A 42-Year Retrospective Analysis (1982-2023).Cancer reports (Hoboken, N.J.) · 2026Observational
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Authors and funding
31 authors.
Funding
Abstract
Renal cell carcinoma (RCC) is the most common type of kidney cancer, but its genetic architecture has not been fully characterized, particularly in Asian populations. Here, we perform a multi-ancestry meta-analysis of 33,712 RCC cases and 845,786 controls, including individuals of East Asian (5,313 cases and 96,912 controls), European (25,890 cases and 743,585 controls), African American (897 cases and 3,109 controls), and Latin American ancestry (1,612 cases and 2,180 controls), which unveils 10 novel RCC-associated loci and a Chinese-specific locus at 12p13.33. Leveraging genome-wide association study (GWAS) data and cross-ancestry expression quantitative trait loci (eQTLs) mapping from 266 kidney tissues, we refine the identification of putative causal variants and genes implicated in RCC. These findings are substantiated through CRISPR-based screenings and multiplexed single-cell perturbations. Additionally, we functionally validate a novel association between rs28684409 and the oncogene RPL4 at the complex genetic locus 15q22.31. This comprehensive genetic investigation underscores the utility of integrating cross-ancestry GWASs, QTLs, and functional screens to elucidate the genetic underpinnings of complex diseases.
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