Evidence map›Paper›PMID 32107650›Full record

ArticleClinical and translational medicine2020

A trans-ethnic two-stage polygenetic scoring analysis detects genetic correlation between osteoporosis and schizophrenia.

Li Liu, Yan Wen, Yujie Ning, Ping Li, Bolun Cheng, Shiqiang Cheng, Lu Zhang, Mei Ma, Xin Qi, Chujun Liang and 9 more

Abstract read
In one paragraph

Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Long-acting antipsychotic treatments: focus on women with schizophrenia.Therapeutic advances in psychopharmacology · 2024
    Review
  4. 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

19 authors.

Li LiuSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China.
Yan WenSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China.
Yujie NingSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China.
Ping LiSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China.
Bolun ChengSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China.
Shiqiang ChengSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China.
Lu ZhangSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China.
Mei MaSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China.
Xin QiSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China.
Chujun LiangSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China.
Tielin YangKey Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, Shaanxi, People's Republic of China.
Xiangding ChenLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, People's Republic of China.
Lijun TanLaboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, People's Republic of China.
Hui ShenCenter for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Qing TianCenter for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Hong-Wen DengCenter for Bioinformatics and Genomics, Department of Global Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Xiancang MaDepartment of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China.
Feng ZhangSchool of Public Health, Xi'an Jiaotong University Health Science Center, Yanta West Road 76, Xi'an, 710061, People's Republic of China. fzhxjtu@mail.xjtu.edu.cn.
Feng ZhuCenter for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, People's Republic of China. zhufeng0714@163.com.

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI HUI SHEN · 2017 to 2026
$24.3M
Epigenomewide DNA Methylation Study for Osteoporosis RiskR01AR059781 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2012 to 2016
$3.1M
Decoding Methylation Mediated Epigenomic Contributions to Male OsteoporosisR01AR069055 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2017 to 2021
$2.9M
Identification of Proteins Important for Male OsteoporosisR01AR057049 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2009 to 2013
$2.4M
Integration of brain imaging with genomic and epigenomic dataR01MH104680 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI CALHOUN, VINCE D, DENG, HONG-WEN · 2014 to 2017
$2.1M
Integration of fMRI imaging, genomics, network and biological knowledgeR01MH107354 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI WANG, YU-PING · 2015 to 2018
$1.9M
Integration of multiscale genomic data for comprehensive analysis of complex diseR01GM109068 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI WANG, YU-PING · 2014 to 2018
$1.6M
Research Training in Gene-Environment Interaction in ChinaD43TW009107 · FIC · TULANE UNIVERSITY OF LOUISIANA · PI GU, DONGFENG, HE, JIANG · 2012 to 2016
$1.1M
FIC NIH HHS D43 TW009107NIAMS NIH HHS R01 AR057049NIAMS NIH HHS R01 AR059781NIAMS NIH HHS R01 AR069055NIA NIH HHS U19 AG055373NIGMS NIH HHS P20 GM109036NIGMS NIH HHS R01 GM109068NIMH NIH HHS R01 MH104680NIMH NIH HHS R01 MH107354
6 · The paper itself

Abstract

backgroundsTo explore the genetic correlation between schizophrenia (SCZ) and osteoporosis (OP). DESIGN, SETTING, PARTICIPANTS, MEASUREMENTS: We conducted a trans-ethnic two-stage genetic correlation analysis of OP and SCZ, totally invoking 2286 Caucasia subjects in discovery stage and 4124 Chinese subjects in replication stage. The bone mineral density (BMD) and bone area values of ulna & radius, hip and spine were measured using Hologic 4500W dual energy X-ray absorptiometry machine. SCZ was diagnosed according to DSM-IV criteria. For the genome-wide association study (GWAS) of Caucasian OP, Chinese OP and Chinese SCZ, SNP genotyping was performed using Affymetrix SNP 6.0 array. For the GWAS of Caucasian SCZ, SNP genotyping was conducted using the Affymetrix 5.0 array, Affymetrix 6.0 array and Illumina 550 K array. Polygenetic risk scoring (PRS) analysis was conducted by PRSice software. Also, Linkage disequilibrium score regression (LD Score regression) analysis was performed to evaluate the genetic correlation between OP and SCZ. Multi-trait analysis of GWAS (MTAG) was performed to detect novel candidate genes for osteoporosis and SCZ.

resultsIn the Caucasia discovery samples, significant genetic correlations were observed for ulna & radius BMD vs. SCZ (P value = 0.010), ulna & radius area vs. SCZ (P value = 0.031). In the Chinese replication samples, we observed significant correlation for ulna & radius area vs. SCZ (P value = 0.019). In addition, LD Score regression also identified significant genetic correlations between SCZ and bone phenotypes in Caucasian and Chinese sample respectively. MTAG analysis identified several novel candidate genes, such as CTNNA2 (MTAG P value = 2.24 × 10

conclusionsOur study results support the overlapped genetic basis for osteoporosis and SCZ, and provide novel clues for elucidating the biological mechanism of increased osteoporosis risk in SCZ patients.

Indexed as

Genetic correlationGenome-wide association analysisOsteoporosisSchizophrenia

Identifiers

PMID32107650
PMCPMC7046891

What Socratic holds

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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 Socratic graph.