SynthesisNature human behaviour2024
The genetic landscape of neuro-related proteins in human plasma.
Abstract readMeta-Analysis
In one paragraph
Synthesis in Nature human behaviour, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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.
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.
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Who cites it
9 citing papers in PubMed.
- Proteogenomics in human populations.Nature reviews. Genetics · 2026Review
- Nanoparticle-enriched mass spectrometry proteomics in British South Asians identifies links between genetic variants, plasma protein levels and disease risk.Nature genetics · 2026Article
- Hippocampal neuroinflammation and altered peripheral neurobiological protein profile in experimental arthritis and systemic juvenile idiopathic arthritis.EBioMedicine · 2026Article
- Multi-cohort proteogenomic analyses reveal genetic effects across the proteome and diseasome.Cell · 2026Article
- Identification of circulatory neuro-related proteins in Parkinson's disease: an integrated genetic-proteomic-clinical study.EBioMedicine · 2026Article
- High-definition likelihood inference of genetic colocalization reveals protein biomarkers for human complex diseases.GigaScience · 2026Article
- Epigenetic Regulation of ITGB7 Promotes Coronary Heart Disease via Immune and Metabolic Pathways: A Multimodal Mendelian Randomization Study.Cardiovascular therapeutics · 2026Article
- Proteomic signatures and predictive modeling of cadmium-associated anxiety in middle-aged and elderly populations: an environmental exposure association study.Journal of translational medicine · 2025Article
- Unraveling the role of proteins in dementia: insights from two UK cohorts with causal evidence.Brain communications · 2025Article
Corrections and comments
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Authors and funding
52 authors.
Linda Repetto *Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-7901-4549
Jiantao Chen *Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-7214-2257
Zhijian Yang *Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0003-4803-8633
Ranran Zhai *Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-5834-9120
Paul R H J TimmersCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-5197-1267
Xiao FengCenter for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China.ORCID http://orcid.org/0000-0001-8919-6000
Ting LiBiostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0002-9614-1566
Yue YaoCenter for Intelligent Medicine Research, Greater Bay Area Institute of Precision Medicine (Guangzhou), Fudan University, Guangzhou, China.
Denis MaslovMSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia.ORCID http://orcid.org/0000-0003-2806-5933
Anna TimoshchukMSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia.ORCID http://orcid.org/0000-0001-8529-4498
Fengyu TuBiostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.ORCID http://orcid.org/0000-0001-8748-7250
Emma L TwaitJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht and Utrecht University, Utrecht, Netherlands.
Sebastian May-WilsonCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-2668-5717
Marisa D MuckianCentre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-0419-3797
Bram P PrinsBHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Grace PngInstitute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Charles KooperbergDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-7986-8560
Åsa JohanssonDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Robert F HillaryCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-2595-552X
Eleanor WheelerMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID http://orcid.org/0000-0002-8616-6444
Lu PanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-7467-6992
Yazhou HeDepartment of Epidemiology and Medical Statistics, Division of Oncology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Sofia KlassonInstitute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Shahzad AhmadDepartment of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0002-8658-3790
James E PetersDepartment of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, UK.
Arthur GillyInstitute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Maria KaraleftheriEchinos Medical Centre, Echinos, Greece.
Emmanouil TsafantakisAnogia Medical Centre, Anogia, Greece.
Jeffrey HaesslerDivision of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Ulf GyllenstenDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Sarah E HarrisLothian Birth Cohorts, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-4941-5106
Nicholas J WarehamMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID http://orcid.org/0000-0003-1422-2993
Andreas GötesonDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0001-6118-6054
Cecilia LaggingInstitute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-5692-2755
Mohammad Arfan IkramDepartment of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0003-0372-8585
Cornelia M van DuijnDepartment of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0002-2374-9204
Christina JernInstitute of Biomedicine, Department of Laboratory Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Mikael LandénDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-4496-6451
Claudia LangenbergMRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.ORCID http://orcid.org/0000-0002-5017-7344
Ian J DearyLothian Birth Cohorts, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-1733-263X
Riccardo E MarioniCentre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0003-4430-4260
Stefan EnrothDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
Alexander P ReinerDivision of Public Health Sciences, Fred Hutchinson Cancer Center and Department of Epidemiology, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-1427-4470
George DedoussisDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Athens, Greece.
Eleftheria ZegginiInstitute of Translational Genomics, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.
Sodbo SharapovMSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia.ORCID http://orcid.org/0000-0003-0279-4900
Yurii S AulchenkoMSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow, Russia.
Adam S ButterworthBHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-6915-9015
Anders MälarstigDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-2608-1358
James F Wilson *Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-5751-9178
Pau Navarro *Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-5576-8584
Xia Shen *Biostatistics Group, School of Life Sciences, Sun Yat-sen University, Guangzhou, China. shenx@fudan.edu.cn.ORCID http://orcid.org/0000-0003-4390-1979
Funding
Medical Research Council MC_UU_00007/10National Natural Science Foundation of China (National Science Foundation of China) 12171495Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2021A1515010866Vetenskapsrådet (Swedish Research Council) 2022-01309
Abstract
Understanding the genetic basis of neuro-related proteins is essential for dissecting the molecular basis of human behavioural traits and the disease aetiology of neuropsychiatric disorders. Here the SCALLOP Consortium conducted a genome-wide association meta-analysis of over 12,000 individuals for 184 neuro-related proteins in human plasma. The analysis identified 125 cis-regulatory protein quantitative trait loci (cis-pQTL) and 164 trans-pQTL. The mapped pQTL capture on average 50% of each protein's heritability. At the cis-pQTL, multiple proteins shared a genetic basis with human behavioural traits such as alcohol and food intake, smoking and educational attainment, as well as neurological conditions and psychiatric disorders such as pain, neuroticism and schizophrenia. Integrating with established drug information, the causal inference analysis validated 52 out of 66 matched combinations of protein targets and diseases or side effects with available drugs while suggesting hundreds of repurposing and new therapeutic targets.
Indexed as
Genome-Wide Association StudyQuantitative Trait LociHumansMental DisordersNerve Tissue ProteinsNerve Tissue Proteins
Identifiers
PMID
39210026What OpenQuestion holds
Textmetadata
Read underepoch 390
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.