Evidence map›Paper›PMID 36797296›Full record

ArticleNature communications2023

Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility.

Fengzhe Xu, Evan Yi-Wen Yu, Xue Cai, Liang Yue, Li-Peng Jing, Xinxiu Liang, Yuanqing Fu, Zelei Miao, Min Yang, Menglei Shuai and 14 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
–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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Novel immune-related susceptibility loci associated with pediatric steroid-sensitive nephrotic syndrome identified by a transethnic genome-wide association study.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Article
  5. Proteogenomics in human populations.Nature reviews. Genetics · 2026
    Review
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  18. Breast cancer (Dove Medical Press) · 2026
    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

24 authors.

Fengzhe Xu *School of Life Sciences, Fudan University, Shanghai, China.
Evan Yi-Wen Yu *Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, Department of Epidemiology & Biostatistics, School of Public Health, Southeast University, 210009, Nanjing, China.
Xue Cai *School of Life Sciences, Westlake University, 310024, Hangzhou, China.
Liang Yue *School of Life Sciences, Westlake University, 310024, Hangzhou, China.
Li-Peng Jing *Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, 510275, Guangzhou, China.
Xinxiu Liang *School of Life Sciences, Westlake University, 310024, Hangzhou, China.
Yuanqing FuSchool of Life Sciences, Westlake University, 310024, Hangzhou, China.ORCID 0000-0002-3955-9376
Zelei MiaoSchool of Life Sciences, Westlake University, 310024, Hangzhou, China.
Min YangSchool of Life Sciences, Westlake University, 310024, Hangzhou, China.
Menglei ShuaiSchool of Life Sciences, Westlake University, 310024, Hangzhou, China.
Wanglong GouSchool of Life Sciences, Westlake University, 310024, Hangzhou, China.
Congmei XiaoSchool of Life Sciences, Westlake University, 310024, Hangzhou, China.
Zhangzhi XueSchool of Life Sciences, Westlake University, 310024, Hangzhou, China.
Yuting XieSchool of Life Sciences, Westlake University, 310024, Hangzhou, China.
Sainan LiSchool of Life Sciences, Westlake University, 310024, Hangzhou, China.
Sha LuHangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, China.
Meiqi ShiHangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, China.
Xuhong WangHangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, China.
Wensheng HuHangzhou Women's Hospital (Hangzhou Maternity and Child Health Care Hospital), Hangzhou, China.
Claudia LangenbergMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, CB2 0QQ, UK.ORCID 0000-0002-5017-7344
Jian YangSchool of Life Sciences, Westlake University, 310024, Hangzhou, China.ORCID 0000-0003-2001-2474
Yu-Ming ChenGuangdong Provincial Key Laboratory of Food, Nutrition and Health, Department of Epidemiology, School of Public Health, Sun Yat-sen University, 510275, Guangzhou, China. chenyum@mail.sysu.edu.cn.ORCID 0000-0003-1658-5528
Tiannan GuoSchool of Life Sciences, Westlake University, 310024, Hangzhou, China. guotiannan@westlake.edu.cn.ORCID 0000-0003-3869-7651
Ju-Sheng ZhengSchool of Life Sciences, Westlake University, 310024, Hangzhou, China. zhengjusheng@westlake.edu.cn.ORCID 0000-0001-6560-4890

Funding

Medical Research Council MC_UU_00006/1
6 · The paper itself

Abstract

Identification of protein quantitative trait loci (pQTL) helps understand the underlying mechanisms of diseases and discover promising targets for pharmacological intervention. For most important class of drug targets, genetic evidence needs to be generalizable to diverse populations. Given that the majority of the previous studies were conducted in European ancestry populations, little is known about the protein-associated genetic variants in East Asians. Based on data-independent acquisition mass spectrometry technique, we conduct genome-wide association analyses for 304 unique proteins in 2,958 Han Chinese participants. We identify 195 genetic variant-protein associations. Colocalization and Mendelian randomization analyses highlight 60 gene-protein-phenotype associations, 45 of which (75%) have not been prioritized in Europeans previously. Further cross-ancestry analyses uncover key proteins that contributed to the differences in the obesity-induced diabetes and coronary artery disease susceptibility. These findings provide novel druggable proteins as well as a unique resource for the trans-ancestry evaluation of protein-targeted drug discovery.

Indexed as

Cardiovascular DiseasesProteomeGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansPhenotypePolymorphism, Single NucleotideProteome

Identifiers

PMID36797296
PMCPMC9935862

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.