Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targets

19 Mar 2024

Abstract excerpt

Genetic mechanisms of blood pressure (BP) regulation remain poorly defined. Using kidney-specific epigenomic annotations and 3D genome information we generated and validated gene expression prediction models for the purpose of transcriptome-wide association studies in 700 human kidneys. We identified 889 kidney genes associated with BP of which 399 were prioritised as contributors to BP regulation. Imputation of...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Genetic Associations and Epidemiology
Share to Hormonal Regulation and Hypertension
Share to Renin-Angiotensin System Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38504097
DOI: 10.1038/s41467-024-46132-y

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genetic imputation of kidney transcriptome, proteome and multi-omics illuminates new blood pressure and hypertension targetsPMID 38504097Read ↗

Uncovering genetic mechanisms of hypertension through multi-omic analysis of the kidney.Semantic proximity Read ↗

Kidney omics in hypertension: from statistical associations to biological mechanisms and clinical applications.Semantic proximity Read ↗

Unravelling the complex genetics of common kidney diseases: from variants to mechanisms.Semantic proximity Read ↗

Distinct and shared genetics of kidney filtration function versus albuminuria revealed by multi-trait GWASSemantic proximity Read ↗

Shared genetic architecture between inflammatory proteins and eGFR difference identifies chronic inflammation risk factors for kidney function impairmentSemantic proximity Read ↗

Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function.Semantic proximity Read ↗

Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologiesSemantic proximity Read ↗

1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.Semantic proximity Read ↗

Human Kidney Alternative Splicing Information Illuminates Cardiovascular-Kidney-Metabolic Syndrome RiskSemantic proximity Read ↗

Insights into kidney diseases from genome-wide association studiesSemantic proximity Read ↗

Trans-ethnic genome-wide association study of kidney function provides novel insight into effector genes and causal effects on kidney-specific disease aetiologiesSemantic proximity Read ↗

Multi-Scalar Data Integration Decoding Risk Genes for Chronic Kidney DiseaseSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.