Article in Translational psychiatry, 2026. 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
–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.
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.
Yunqing ZhuPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
Guorui ZhaoPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.ORCID http://orcid.org/0000-0003-3097-3797
Yuyanan ZhangPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.ORCID http://orcid.org/0000-0002-0474-1135
Zhe LuPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.ORCID http://orcid.org/0000-0003-1922-6686
Zhewei KangPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.ORCID http://orcid.org/0000-0002-3722-3713
Xiaoyang FengPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.ORCID http://orcid.org/0000-0003-1065-8597
Yundan LiaoPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.ORCID http://orcid.org/0000-0002-0969-6927
Junyuan SunPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
Rui YuanPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
Yang YangPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
Jing GuoPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
Yaoyao SunPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China. sunyaoyao@bjmu.edu.cn.ORCID http://orcid.org/0000-0001-8096-3568
Weihua YuePeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China. dryue@bjmu.edu.cn.ORCID http://orcid.org/0000-0002-1201-8465
Funding
National Natural Science Foundation of China (National Science Foundation of China) 82301687, 82571710National Natural Science Foundation of China (National Science Foundation of China) 82330042National Natural Science Foundation of China (National Science Foundation of China) 82441005National Natural Science Foundation of China (National Science Foundation of China) 82501802National Natural Science Foundation of China (National Science Foundation of China) 82501828
6 · The paper itself
Abstract
Psychiatric and cardiovascular diseases (CVDs) are frequently comorbid and are interconnected through the brain-heart axis. However, the underlying shared genetic etiology remains unknown in East Asians. To address this critical gap, we conducted a genome-wide pairwise trait pleiotropy study by leveraging genome-wide association studies of three major psychiatric disorders (schizophrenia [SCZ], bipolar disorder [BIP], major depressive disorder [MDD]) and ten cardiovascular traits (including eight CVDs) in East Asians. We identified genetic overlaps across seven disease pairs, such as SCZ with coronary artery disease. Through this pairwise approach, six of a total of 18 pleiotropic loci demonstrated tissue-specific expression in brain and cardiovascular systems. In the cross-ancestry replication, nine of the pleiotropic loci were validated. Among the novel pleiotropic genes, TPCN1, CACNA2D2, CACNA1D, and ATP2B1 are involved in voltage-dependent calcium channel activity, regulation of calcium influx, enriched in calcium-related pathway. We validated association with calcium signal pathway in an independent cohort. Calcium pathway-specific polygenic risk score for SCZ was associated with prolonged corrected QT (QTc) interval, which remained robust among individuals free from QTc-affecting drugs. Given that calcium-channel blockers are commonly prescribed for heart and blood vessel conditions, we performed drug target analysis by integrating gene expression profiles from the brain and cardiovascular tissues. Our findings implicated that calcium-channel blockers and peripheral vasodilators elevated SCZ risk, diuretics reduced the risks of SCZ, BIP, and MDD. Our study reveals extensive shared genetic architectures underlying psychiatric and CVDs, which warrant prudence in the use of calcium channel blockers among patients with concurrent psychiatric and CVDs.
Indexed as
Bipolar DisorderCalcium SignalingCardiovascular DiseasesMajor Depressive DisorderSchizophreniaCalcium ChannelsEast Asian PeopleGenetic PleiotropyGenetic Risk ScoreGenome-Wide Association StudyHumansPolymorphism, Single NucleotideCalcium Channels
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.
Calcium signaling pathway implicates a shared genetic basis between psychiatric and cardiovascular diseases. · full record | OpenQuestion