Evidence map›Paper›PMID 36008755›Full record

ArticleBMC genomics2022

Exploring Lead loci shared between schizophrenia and Cardiometabolic traits.

Qian He, Adam N Bennett, Jundong Liu, Beifang Fan, Xue Han, Lu Cheng, Yan Chen, Xia Yang, Kei Hang Katie Chan

Abstract read
In one paragraph

Article in BMC genomics, 2022. 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
–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

5 citing papers in PubMed.

  1. Article
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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

9 authors.

Qian HeDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, SAR, China.
Adam N BennettDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, SAR, China.
Jundong LiuDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, SAR, China.
Beifang FanDepartment of Mental Health, Shenzhen Nanshan Center for Chronic Disease Control, ShenZhen, China.
Xue HanDepartment of Mental Health, Shenzhen Nanshan Center for Chronic Disease Control, ShenZhen, China.
Lu ChengDepartment of Mental Health, Shenzhen Nanshan Center for Chronic Disease Control, ShenZhen, China.
Yan ChenDepartment of Mental Health, Shenzhen Nanshan Center for Chronic Disease Control, ShenZhen, China.
Xia YangDepartment of Integrative Biology & Physiology, University of California, Los Angeles, USA.
Kei Hang Katie ChanDepartment of Biomedical Sciences, City University of Hong Kong, Hong Kong, SAR, China. kkhchan@cityu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals with schizophrenia (SCZ) have, on average, a 10- to 20-year shorter expected life span than the rest of the population, primarily due to cardiovascular disease comorbidity. Genome-wide association studies (GWAS) have previously been used to separately identify common variants in SCZ and cardiometabolic traits. However, genetic variants jointly influencing both traits remain to be fully characterised. To assess overlaps (if any) between the genetic architecture of SCZ and cardiometabolic traits, we used conditional false discovery rate (FDR) and local genetic correlation statistical framework analyses. A conjunctional FDR was used to identify shared genetic traits between SCZ and cardiometabolic risk factors. We identified 144 genetic variants which were shared between SCZ and body mass index (BMI), and 15 variants shared between SCZ and triglycerides (TG). Furthermore, we discovered four novel single nucleotide polymorphisms (SNPs) (rs3865350, rs9860913, rs13307 and rs9614186) and four proximate genes (DERL2, SNX4, LY75 and EFCAB6) which were shared by SCZ and BMI. We observed that the novel genetic variant rs13307 and the most proximate gene LY75 exerted potential effects on SCZ and BMI comorbidity. Also, we observed a mixture of concordant and opposite direction associations with shared genetic variants. We demonstrated a moderate to high genetic overlap between SCZ and cardiometabolic traits associated with a pattern of bidirectional associations. Our data suggested a complex interplay between metabolism-related gene pathways in SCZ pathophysiology.

Indexed as

Cardiovascular DiseasesSchizophreniaGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideCardiometabolic traitsConditional FDRConjunctional FDRSchizophreniaSusceptibility gene

Identifiers

PMID36008755
PMCPMC9414090

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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.