Evidence map›Paper›PMID 33766948›Full record

ArticleThe European respiratory journal2021

A large-scale genome-wide association analysis of lung function in the Chinese population identifies novel loci and highlights shared genetic aetiology with obesity.

Zhaozhong Zhu, Jiachen Li, Jiahui Si, Baoshan Ma, Huwenbo Shi, Jun Lv, Weihua Cao, Yu Guo, Iona Y Millwood, Robin G Walters and 14 more

Open access · hybridAbstract read
In one paragraph

Article in The European respiratory journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 pooled it
7.8field-weighted citation impact, top 2% 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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it, 65 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 7 institutions in 3 countries.

Zhaozhong ZhuProgram in Genetic Epidemiology and Statistical Genetics, Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0001-5662-1541
Jiachen LiDept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Jiahui SiProgram in Genetic Epidemiology and Statistical Genetics, Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Baoshan MaCollege of Information Science and Technology, Dalian Maritime University, Dalian, China.
Huwenbo ShiProgram in Genetic Epidemiology and Statistical Genetics, Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Jun LvDept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Weihua CaoDept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Iona Y MillwoodMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Robin G WaltersMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Kuang LinMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.ORCID 0000-0002-7360-3385
Ling YangMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Yiping ChenMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Huaidong DuMedical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK.
Bo YuNCDs Prevention and Control Dept, Nangang CDC, Harbin, China.
Kohei HasegawaDept of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Carlos A CamargoProgram in Genetic Epidemiology and Statistical Genetics, Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-5071-7654
Miriam F MoffattSection of Genomic Medicine, National Heart and Lung Institute, Imperial College London, London, UK.
William O C CooksonSection of Genomic Medicine, National Heart and Lung Institute, Imperial College London, London, UK.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Dept of Population Health, University of Oxford, Oxford, UK.
Liming LiDept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Canqing YuDept of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China yucanqing@pku.edu.cn.ORCID 0000-0002-0019-0014
Liming LiangProgram in Genetic Epidemiology and Statistical Genetics, Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
University of Oxford · GBHarvard University · USPeking University · CNImperial College London · GBChina National Center for Food Safety Risk Assessment · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNDalian Maritime University · CN

Funding

Integrating the genome, metabolome, and microbiome for childhood asthma: Risk and endotypesK01AI153558 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ZHU, ZHAOZHONG · 2021 to 2025
$663k
Cancer Research UK 16896Cancer Research UK 29186Medical Research Council MC_PC_13049Medical Research Council MC_PC_14135Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Medical Research Council MR/P025080/1NIAID NIH HHS K01 AI153558Wellcome Trust 088158Wellcome Trust 104085Wellcome Trust 202922Wellcome Trust 212946
6 · The paper itself

Abstract

backgroundLung function is a heritable complex phenotype with obesity being one of its important risk factors. However, knowledge of their shared genetic basis is limited. Most genome-wide association studies (GWASs) for lung function have been based on European populations, limiting the generalisability across populations. Large-scale lung function GWASs in other populations are lacking.

methodsWe included 100 285 subjects from the China Kadoorie Biobank (CKB). To identify novel loci for lung function, single-trait GWAS analyses were performed on forced expiratory volume in 1 s (FEV

resultsWe identified nine genome-wide significant novel loci for FEV

conclusionThis large-scale GWAS of lung function identified novel loci and shared genetic aetiology between lung function and obesity. Change in BMI might affect change in lung function differently according to a subject's polygenic background. These findings may open new avenues for the development of molecular-targeted therapies for obesity and lung function improvement.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideBody Mass IndexChinaForced Expiratory VolumeHumansLungObesity

Identifiers

PMID33766948
PMCPMC8513692
OpenAlexW3138902418

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.