Evidence map›Paper›PMID 32328087›Full record

ArticleFrontiers in genetics2020

Exome-Wide Association Study Reveals Several Susceptibility Genes and Pathways Associated With Acute Coronary Syndromes in Han Chinese.

Qiwen Zheng, Yan Zhang, Jie Jiang, Jia Jia, Fangfang Fan, Yanjun Gong, Zhi Wang, Qiuping Shi, Dafang Chen, Yong Huo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  5. Genetic Variation ofFrontiers in genetics · 2021
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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

10 authors at 2 institutions in 1 country.

Qiwen ZhengDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yan ZhangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Jie JiangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Jia JiaDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Fangfang FanDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Yanjun GongDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Zhi WangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Qiuping ShiDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Dafang ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Yong HuoDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Peking University · CNPeking University First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies have identified more than 150 susceptibility loci for coronary artery disease (CAD); however, there is still a large proportion of missing heritability remaining to be investigated. This study sought to identify population-based genetic variation associated with acute coronary syndromes (ACS) in individuals of Chinese Han descent. We proposed a novel strategy integrating a well-developed risk prediction model into control selection in order to lower the potential misclassification bias and increase the statistical power. An exome-wide association analysis was performed for 1,669 ACS patients and 1,935 healthy controls. Promising variants were further replicated using the existing

Indexed as

acute coronary syndromecontrol selection strategyexome-wide association studygene-based analysispathway-based analysisrisk prediction tool

Identifiers

PMID32328087
PMCPMC7160370
OpenAlexW3016004636

What OpenQuestion 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 OpenQuestion graph.