Evidence map›Paper›PMID 41205692›Full record

ArticleBone2026

A comprehensive multi-layered analysis reveals genetic pleiotropy underlying coronary artery calcification and bone mineral density.

Tao Han, Yang Qu, Jiangbo Zhu, Linna Sha, Bowen Lei, Rong Xiang, Xunying Zhao, Jiaojiao Hou, Qin Deng, Sirui Zheng and 8 more

Abstract read
In one paragraph

Article in Bone, 2026. 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
–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

0 citing papers in PubMed.

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

18 authors.

Tao HanDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yang QuDepartment of Epidemiology and Biostatistics, West China-PUMC C. C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiangbo ZhuDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Linna ShaDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Bowen LeiDepartment of Epidemiology and Biostatistics, West China-PUMC C. C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Rong XiangDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Xunying ZhaoDepartment of Epidemiology and Biostatistics, West China-PUMC C. C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiaojiao HouDepartment of Epidemiology and Biostatistics, West China-PUMC C. C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Qin DengDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Sirui ZhengDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Jinyu ZhouDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Ting YuDepartment of Epidemiology and Biostatistics, West China-PUMC C. C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Xin SongDepartment of Epidemiology and Biostatistics, West China-PUMC C. C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Bin YangDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Yangdan ZhongDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Maoyao XiaDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
Douglas P KielHinda and Arthur Marcus Institute for Aging Research, Hebrew Senior Life, Boston, MA, 02131, United States; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, United States.
Xia JiangDepartment of Nutrition and Food Hygiene, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Epidemiology and Biostatistics, West China-PUMC C. C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China; Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institute, Solna, Stockholm, Sweden. Electronic address: xiajiang@scu.edu.cn.

Funding

RISK FACTORS FOR VERTEBRAL FRACTURE AND BONE LOSSR01AR041398 · NIAMS · RHODE ISLAND HOSPITAL (PROVIDENCE, RI) · PI KIEL, DOUGLAS P. · 1991 to 2025
$16.1M
NIAMS NIH HHS R01 AR041398
6 · The paper itself

Abstract

objectivesSubclinical atherosclerosis and osteoporosis are often present together in the same individual, but their common mechanisms remain unclear. This study aims to investigate the pleiotropic relationship underlying coronary artery calcification (CAC) and estimated calcaneal bone mineral density (eBMD), providing molecular insights into their observed phenotypic associations.

methodsGenetic correlation between CAC and eBMD was estimated based on genome-wide summary statistics. Shared loci were examined at the levels of single-nucleotide polymorphism (SNP), multi-SNP, and gene expressions to provide insights into genetic pleiotropy. Sensitivity analyses using data of DXA-derived BMD at femoral neck and lumbar spine were performed to validate key findings. Pathway enrichment analyses were conducted on significant shared loci to explore potential biological mechanisms.

resultsDespite an absence of a global genetic correlation, partitioning the genome into independent regions revealed five significant signals. Through subsequent multi-layered analysis, we identified 211 non-overlapping significant shared genes, including 190 from single-SNP-level, 27 from multi-SNP-level, and 3 from gene expression level, underscoring the widespread pleiotropy across CAC and eBMD. Notably, the shared signals were predominantly concentrated on chromosome 17, with SMG6 and PAFAH1B1 highlighted as crucial pleiotropic genes, and both were further confirmed by sensitivity analyses. Pathway enrichment analyses revealed oxidative stress regulation and the ubiquitin-proteasome system as critical biological mechanisms potentially linking the two traits.

conclusionOur study demonstrates that the observed association between CAC and eBMD is mainly driven by pleiotropic associations.

Indexed as

Bone DensityCoronary Artery DiseaseCoronary VesselsGenetic PleiotropyVascular CalcificationAgedFemaleGenome-Wide Association StudyHumansMaleMiddle AgedPolymorphism, Single NucleotideBone mineral densityCalcification paradoxCoronary artery calcificationGenetic correlationPleiotropic loci

Identifiers

PMID41205692
PMCPMC12928696

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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.