Evidence map›Paper›PMID 35252394›Full record

ArticleFrontiers in cardiovascular medicine2022

Dissecting the Polygenic Basis of Primary Hypertension: Identification of Key Pathway-Specific Components.

Carlo Maj, Erika Salvi, Lorena Citterio, Oleg Borisov, Marco Simonini, Valeria Glorioso, Cristina Barlassina, Nicola Glorioso, Lutgarde Thijs, Tatiana Kuznetsova and 6 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 10 institutions in 4 countries.

Carlo MajInstitute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Bonn, Germany.
Erika SalviNeuroalgology Unit, Fondazione IRCCS Istituto Neurologico "Carlo Besta", Milan, Italy.
Lorena CitterioGenomics of Renal Diseases and Hypertension Unit, Istituto di Ricovero e Cura a Carattere Scientifico IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Oleg BorisovInstitute for Genomic Statistics and Bioinformatics, Medical Faculty, University of Bonn, Bonn, Germany.
Marco SimoniniGenomics of Renal Diseases and Hypertension Unit, Istituto di Ricovero e Cura a Carattere Scientifico IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Valeria GloriosoDepartment of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
Cristina BarlassinaDepartment of Health Sciences, University of Milan, Milan, Italy.
Nicola GloriosoDepartment of Clinical and Experimental Medicine, Hypertension and Related Diseases Centre, University of Sassari, Sassari, Italy.
Lutgarde ThijsResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Tatiana KuznetsovaResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Francesco P CappuccioWarwick Medical School, and UHCW NHS Trust, University of Warwick, Coventry, United Kingdom.
Zhen-Yu ZhangResearch Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium.
Jan A StaessenResearch Institute Alliance for the Promotion of Preventive Medicine (APPREMED), Mechelen, Belgium.
Daniele CusiInstitute of Biomedical Technologies Milano National Research Council of Italy (CNR), Milano, Italy.
Chiara LanzaniGenomics of Renal Diseases and Hypertension Unit, Istituto di Ricovero e Cura a Carattere Scientifico IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
Paolo ManuntaGenomics of Renal Diseases and Hypertension Unit, Istituto di Ricovero e Cura a Carattere Scientifico IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy.
KU Leuven · BEVita-Salute San Raffaele University · ITUniversity of Bonn · DEFondazione IRCCS Istituto Neurologico Carlo Besta · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITNational Research Council · ITUniversity of Milan · ITUniversity of Milano-Bicocca · ITUniversity of Sassari · ITUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION AND

objectivesGenome-wide association studies have identified a high number of genetic loci associated with hypertension suggesting the presence of an underlying polygenic architecture. In this study, we aimed to dissect the polygenic component of primary hypertension searching also for pathway-specific components.

methodsThe polygenic risk score (PRS) models, based on the UK biobank genetic signals for hypertension status, were obtained on a target Italian case/control cohort including 561 cases and 731 hyper-normal controls from HYPERGENES, and were then applied to an independent validation cohort composed by multi-countries European-based samples including 1,284 cases and 960 hyper-normal controls.

resultsThe resulting genome-wide PRS was capable of stratifying the individuals for hypertension risk by comparing between individuals in the last PRS decile and the median decile: we observed an odds ratio (OR) of 3.62, CI = [2.01, 6.32] (

conclusionsThe development of pathway-specific PRS could prioritize biological mechanisms, according to their contribution to the genetic susceptibility, whose regulations might be a potential pharmacological preventive target.

Indexed as

genome-wide association studieshypertensionpathway analysispolygenic risk scoreprediction

Identifiers

PMID35252394
PMCPMC8888857
OpenAlexW4212930729

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Registered trials

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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.