Evidence map›Paper›PMID 33411684›Full record

ArticleAging2020

Identification of novel SNPs associated with coronary artery disease and birth weight using a pleiotropic cFDR method.

Xinrui Wu, Xu Lin, Qi Li, Zun Wang, Na Zhang, Mengyuan Tian, Xiaolei Wang, Hongwen Deng, Hongzhuan Tan

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Association between gut microbiome and intracerebral hemorrhage based on genome-wide association study data.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023
    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

9 authors at 2 institutions in 2 countries.

Xinrui WuDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Xu LinDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China.
Qi LiXiangxi Center for Disease Prevention and Control, Jishou 416000, China.
Zun WangXiangya Nursing School, Central South University, Changsha 410013, China.
Na ZhangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Mengyuan TianDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Xiaolei WangDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Hongwen DengSchool of Basic Medical Science, Central South University, Changsha 410013, China.
Hongzhuan TanDepartment of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
Central South University · CNThird Affiliated Hospital of Southern Medical University · CN

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Katherine Teresa Mills · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI Chuan Qiu · 2017 to 2026
$24.3M
Identification of Metabolomic Profiles for Sarcopenia Traits in Older Whites and BlacksR01AG061917 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI SHEN, HUI, ZHAO, QI · 2019 to 2023
$3.0M
Decoding Methylation Mediated Epigenomic Contributions to Male OsteoporosisR01AR069055 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2017 to 2021
$2.9M
NIAMS NIH HHS R01 AR069055NIA NIH HHS R01 AG061917NIA NIH HHS U19 AG055373NIGMS NIH HHS P20 GM109036
6 · The paper itself

Abstract

objectivesClinical and epidemiological findings indicate an association between coronary artery disease (CAD) and low birth weight (BW). However, the mechanisms underlying this relationship are largely unknown. Here, we aimed to identify novel single-nucleotide polymorphisms (SNPs) associated with CAD, BW, and their shared pleiotropic loci, and to detect the potential causal relationship between CAD and BW.

methodsWe first applied a genetic pleiotropic conditional false discovery rate (cFDR) method to two independent genome-wide association studies (GWAS) summary statistics of CAD and BW to estimate the pleiotropic enrichment between them. Then, bi-directional Mendelian randomization (MR) analyses were performed to clarify the causal association between these two traits.

resultsBy incorporating related traits into a conditional analysis framework, we observed the significant pleiotropic enrichment between CAD and BW. By applying the cFDR level of 0.05, 109 variants were detected for CAD, 203 for BW, and 26 pleiotropic variants for both traits. We identified 11 CAD- and/or BW-associated SNPs that showed more than three of the metabolic quantitative trait loci (metaQTL), protein QTL (pQTL), methylation QTL (meQTL), or expression QTL (eQTL) effects. The pleiotropic SNP rs10774625, located at

conclusionWe identified several pleiotropic loci between CAD and BW by leveraging GWAS results of related phenotypes and identified a potential causal relationship from BW to CAD. Our findings provide novel insights into the shared biological mechanisms and overlapping genetic heritability between CAD and BW.

Indexed as

Birth WeightCoronary Artery DiseaseGenetic PleiotropyGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single Nucleotidebirth weightconditional FDRcoronary artery diseaseMendelian randomizationpleiotropy

Identifiers

PMID33411684
PMCPMC7906162
OpenAlexW3114936941

What OpenQuestion holds

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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.