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

Genes Caught In Flagranti: Integrating Renal Transcriptional Profiles With Genotypes and Phenotypes.

Seminars in nephrology - 1 May 2015

Guan Yuanfang, Martini Sebastian, Mariani Laura H

Abstract excerpt

In the past decade, population genetics has gained tremendous success in identifying genetic variations that are statistically relevant to renal diseases and kidney function. However, it is challenging to interpret the functional relevance of the genetic variations found by population genetics studies. In this review, we discuss studies that integrate multiple levels of data, especially transcriptome profiles and...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Computational Biology
Share to Gene Expression Profiling

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Genotype

Share to Kidney Diseases

Share to Phenotype

Share to Prognosis

Source

Open in PubMed Open full text

Identifiers

PMID: 26215861
DOI: 10.1016/j.semnephrol.2015.04.003
PMCID: PMC4518206

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genes Caught In Flagranti: Integrating Renal Transcriptional Profiles With Genotypes and Phenotypes.PMID 26215861Read ↗

A systems view of genetics in chronic kidney disease.Semantic proximity Read ↗

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

Genetics of kidney diseases in 2017: Unveiling the genetic architecture of kidney disease.Semantic proximity Read ↗

Lessons from CKD-Related Genetic Association Studies-Moving Forward.Semantic proximity Read ↗

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

Kidney multiome-based genetic scorecard reveals convergent coding and regulatory variants.Semantic proximity Read ↗

Beyond Kidney Genes: Broad Clinical Implications of Genetic Testing for Nephrology Patients.Semantic proximity Read ↗

Exploring the impact and utility of genomic sequencing in established CKDSemantic proximity Read ↗

How can genetics and epigenetics help the nephrologist improve the diagnosis and treatment of chronic kidney disease patients?Semantic proximity Read ↗

Genome-wide polygenic risk predictors for kidney disease.Semantic proximity Read ↗

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

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

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