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

Impact of using PRS-CSx and pruning and thresholding for polygenic partitioning of apparent treatment resistant hypertension.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2026

Seagle Hannah M, Kim Jeewoo, Akerele Alexis T, Hung Adriana, Hellwege Jacklyn N, Edwards Todd L

Abstract excerpt

Apparent treatment-resistant hypertension (aTRH) is a clinically challenging condition with heterogeneous etiologies. Understanding the biological pathways underlying resistance to antihypertensive treatment could inform targeted therapeutic strategies. To evaluate how methodological choices in SNP selection influence biological inference, we applied two approaches to select aTRH-associated variants for...

Read the complete abstract on PubMed

Topics

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

Share to Antihypertensive Agents
Share to Cluster Analysis

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Clustering Algorithms

Share to Computational Biology

Share to Drug Resistance

Share to Genetic Risk Score

Share to Hypertension

Share to Multifactorial Inheritance

Source

Identifiers

PMID: 41758176
DOI: 10.1142/9789819824755_0048

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 11 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Impact of using PRS-CSx and pruning and thresholding for polygenic partitioning of apparent treatment resistant hypertension.PMID 41758176Read ↗

Clinical phenotypes in hypertension: a data-driven approach to risk stratification and outcome predictionSemantic proximity Read ↗

A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood.Semantic proximity Read ↗

Clinical Phenotypes in Hypertension: A Data-Driven Approach to Risk Stratification.Semantic proximity Read ↗

Pathway-Specific Polygenic Risk Scores for Blood Pressure Traits in a West African CohortSemantic proximity Read ↗

GWAS and Replication Analysis of Apparent Treatment-Resistant Hypertension.Semantic proximity Read ↗

Multi-Trait Genetic Analysis Reveals Clinically Interpretable Hypertension Subtypes.Semantic proximity Read ↗

Dissecting the Polygenic Basis of Primary Hypertension: Identification of Key Pathway-Specific ComponentsSemantic proximity Read ↗

Iterative Hard Thresholding in GWAS: Generalized Linear Models, Prior Weights, and Double SparsitySemantic proximity Read ↗

Iterative hard thresholding in genome-wide association studies: Generalized linear models, prior weights, and double sparsity.Semantic proximity Read ↗

Polygenic risk scores associate with blood pressure traits across the lifespan.Semantic proximity Read ↗

Clinical, Prognostic and Biological Features of High-Risk Cardiometabolic Phenotype: the REMODEL StudySemantic proximity Read ↗

Genetic-Based Hypertension Subtype Identification Using Informative SNPs.Semantic proximity Read ↗

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