Evidence map›Paper›PMID 37465449›Full record

ArticleFrontiers in cardiovascular medicine2023

Identification and validation of six acute myocardial infarction-associated variants, including a novel prognostic marker for cardiac mortality.

Yeonsu Jeon, Sungwon Jeon, Kyungwhan An, Yeo Jin Kim, Byoung-Chul Kim, Hyojung Ryu, Whan-Hyuk Choi, HyunJoo Choi, Weon Kim, Sang Yeub Lee and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 30% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

19 authors at 7 institutions in 1 country.

Yeonsu Jeon *Korean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
Sungwon Jeon *Clinomics Inc., Ulsan, Republic of Korea.
Kyungwhan AnKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
Yeo Jin KimClinomics Inc., Ulsan, Republic of Korea.
Byoung-Chul KimClinomics Inc., Ulsan, Republic of Korea.
Hyojung RyuClinomics Inc., Ulsan, Republic of Korea.
Whan-Hyuk ChoiDepartment of Mathematics, Kangwon National University, ChunCheon, Republic of Korea.
HyunJoo ChoiKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
Weon KimDivision of Cardiology, Department of Internal Medicine, Kyung Hee University Hospital, Kyung Hee University, Seoul, Republic of Korea.
Sang Yeub LeeDivision of Cardiology, Department of Internal Medicine, Chung-Ang University College of Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, Republic of Korea.
Jang-Whan BaeDepartment of Internal Medicine, Chungbuk National University Hospital, College of Medicine, Chungbuk National University, Cheongju, Republic of Korea.
Jin-Yong HwangDepartment of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju, Republic of Korea.
Min Gyu KangDepartment of Internal Medicine, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju, Republic of Korea.
Seolbin AnKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
Yeonkyung KimClinomics Inc., Ulsan, Republic of Korea.
Younghui KangClinomics Inc., Ulsan, Republic of Korea.
Byung Chul KimClinomics Inc., Ulsan, Republic of Korea.
Jong BhakKorean Genomics Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea.
Eun-Seok ShinDepartment of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Ulsan National Institute of Science and Technology · KRGyeongsang National University Hospital · KRChung-Ang University · KRChungbuk National University Hospital · KRKangwon National University · KRKyung Hee University · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute myocardial infarction (AMI) is one of the leading causes of death worldwide, and approximately half of AMI-related deaths occur before the affected individual reaches the hospital. The present study aimed to identify and validate genetic variants associated with AMI and their role as prognostic markers. Materials and methods: We conducted a replication study of 29 previously identified novel loci containing 85 genetic variants associated with early-onset AMI using a new independent set of 2,920 Koreans [88 patients with early- and 1,085 patients with late-onset AMI, who underwent percutaneous coronary intervention (PCI), and 1,747 healthy controls]. Results: Of the 85 previously reported early-onset variants, six were confirmed in our genome-wide association study with a false discovery rate of less than 0.05. Notably, rs12639023, a cis-eQTL located in the intergenic region between Conclusion: Our results confirm markers that can potentially be utilized to predict, screen, prevent, and treat candidate patients with AMI and highlight the potential of rs12639023 as a prognostic marker for cardiac mortality in AMI.

Indexed as

acute myocardial infarctioncardiac mortalitygenetic markergenome-wide association studyprognostic marker

Identifiers

PMID37465449
PMCPMC10350496
OpenAlexW4382941017

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.