Evidence map›Paper›PMID 34989438›Full record

SynthesisGenetic epidemiology2022

Genome-wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores.

Xiaofeng Zhu, Luke Zhu, Heming Wang, Richard S Cooper, Aravinda Chakravarti

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Genetic epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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

5 authors at 4 institutions in 1 country.

Xiaofeng ZhuDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA.ORCID 0000-0003-0037-411X
Luke ZhuDepartment of Medicine, Center for Human Genetics & Genomics, New York University Langone Health, New York, New York, USA.
Heming WangDivision of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Richard S CooperDepartment of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, USA.
Aravinda ChakravartiDepartment of Medicine, Center for Human Genetics & Genomics, New York University Langone Health, New York, New York, USA.
NYU Langone Health · USBrigham and Women's Hospital · USCase Western Reserve University · USLoyola University Chicago · US

Funding

Genome-Wide Association Analysis in Essential Hypertension (FEHGAS study)R01HL086694 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ARAVINDA CHAKRAVARTI · 2007 to 2026
$21.2M
Statistical Analysis of Large Genomic Data SetsR01HG011052 · NHGRI · CASE WESTERN RESERVE UNIVERSITY · PI XIAOFENG ZHU · 2020 to 2026
$3.3M
Dissecting heterogeneity of excessive daytime sleepiness and impact on cardiovascular diseasesR01HL153814 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WANG, HEMING · 2021 to 2025
$2.0M
NHGRI NIH HHS R01 HG011052NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01 HL153814
6 · The paper itself

Abstract

Systolic and diastolic blood pressure (S/DBP) are highly correlated modifiable risk factors for cardiovascular disease (CVD). We report here a bidirectional Mendelian Randomization (MR) and horizontal pleiotropy analysis of S/DBP summary statistics from the UK Biobank (UKB)-International Consortium for Blood Pressure (ICBP) (UKB-ICBP) BP genome-wide association study and construct a composite genetic risk score (GRS) by including pleiotropic variants. The composite GRS captures greater (1.11-3.26 fold) heritability for BP traits and increases (1.09- and 2.01-fold) Nagelkerke's R

Indexed as

Genome-Wide Association StudyHypertensionBlood PressureGenetic PleiotropyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk Factorsgene-age interactiongenetic risk scoreMendelian Randomizationpleiotropy

Identifiers

PMID34989438
PMCPMC8863647
OpenAlexW4205921555

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.