Evidence map›Paper›PMID 40657554›Full record

ArticleAdvanced genetics (Hoboken, N.J.)2025

Proteome-Wide Mendelian Randomization Identifies Candidate Causal Proteins for Cardiovascular Diseases.

Chen Li, Nicolas De Jay, Shan-Shan Zhang, Xin Fang, Supriya Sharma, Katrina A Catalano, Venkatesh Sridharan, Zhaoqing Wang, Lei Zhao, Joseph D Szustakowski and 4 more

Abstract read
In one paragraph

Article in Advanced genetics (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

14 authors.

Chen LiInformatics and Predictive Sciences Bristol-Myers Squibb Cambridge 02141 USA.ORCID https://orcid.org/0000-0002-6423-6325
Nicolas De JayInformatics and Predictive Sciences Bristol-Myers Squibb Cambridge 02141 USA.
Shan-Shan ZhangImmunology and Cardiovascular Thematic Research Center Bristol-Myers Squibb Cambridge Brisbane 94005 USA.
Xin FangInformatics and Predictive Sciences Bristol-Myers Squibb Cambridge 02141 USA.
Supriya SharmaInformatics and Predictive Sciences Bristol-Myers Squibb Cambridge 02141 USA.
Katrina A CatalanoInformatics and Predictive Sciences Bristol-Myers Squibb Cambridge 02141 USA.
Venkatesh SridharanImmunology and Cardiovascular Thematic Research Center Bristol-Myers Squibb Cambridge Brisbane 94005 USA.
Zhaoqing WangTranslational Medicine Bristol-Myers Squibb Cambridge Lawrenceville 08540 USA.
Lei ZhaoImmunology and Cardiovascular Thematic Research Center Bristol-Myers Squibb Cambridge Brisbane 94005 USA.
Joseph D SzustakowskiInformatics and Predictive Sciences Bristol-Myers Squibb Cambridge 02141 USA.
Ching-Pin ChangImmunology and Cardiovascular Thematic Research Center Bristol-Myers Squibb Cambridge Brisbane 94005 USA.
Joseph C MaranvilleInformatics and Predictive Sciences Bristol-Myers Squibb Cambridge 02141 USA.
Emily R HolzingerInformatics and Predictive Sciences Bristol-Myers Squibb Cambridge 02141 USA.
Erika M KvikstadInformatics and Predictive Sciences Bristol-Myers Squibb Cambridge 02141 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integration of human genomics and other omics across different ancestries provides novel, affordable, and systematic approach for target identification. We used Mendelian randomization approaches to unravel causal associations between 2,940 circulating proteins and 19 CVD. We found 218 proteins that impacted risk of one or more CVDs through forward MR (106 and 182 using cis-pQTLs only and cis- + trans-pQTLs, respectively), among which 107 were previously reported as associated with CVD or CVD-related traits. There were 102 proteins replicated (FDR < 5%, 53 with cis-pQTLs only and 88 with cis- + trans-pQTLs) using the FinnGen Olink data. BTN3A2 was highlighted as a novel candidate gene for ischemic stroke, suggesting a crosstalk between immune modulation and stroke pathogenesis. Single cell integration prioritized PAM for stable angina pectoris and ventricular arrhythmia and LPL for peripheral artery disease, whose transcriptional expressions were enriched in cardiomyocytes. Forward and reverse MR found largely non-overlapping proteins (only 2 overlapped: LGALS4 and MMP12), suggesting distinct proteomic causes and consequences of CVD. Our study provides human genetics-based evidence of novel candidate genes, a foundational step towards full-scale causal human biology-based drug discovery for CVD.

Indexed as

cardiovascular diseasesMendelian randomizationmulti‐omicsproteome‐widesingle cell

Identifiers

PMID40657554
PMCPMC12245532

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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.