Evidence map›Paper›PMID 39528826›Full record

ArticleNature genetics2024

Genetic architecture of cerebrospinal fluid and brain metabolite levels and the genetic colocalization of metabolites with human traits.

Ciyang Wang, Chengran Yang, Daniel Western, Muhammad Ali, Yueyao Wang, Chia-Ling Phuah, John Budde, Lihua Wang, Priyanka Gorijala, Jigyasha Timsina and 18 more

Abstract read
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Analyses of plasma multi-omic data across ancestries identify novel pathways implicated in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genetic regulation of the metabolome differs by sex, Alzheimer's disease stage, and plasma biomarker status.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors.

Ciyang WangDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0001-5253-0490
Chengran YangDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0003-4577-5590
Daniel WesternDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0003-3725-9553
Muhammad AliDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-1399-6631
Yueyao WangDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0009-0003-3288-1180
Chia-Ling PhuahNeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
John BuddeDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0001-7778-7276
Lihua WangDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Priyanka GorijalaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Jigyasha TimsinaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Agustin RuizResearch Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.ORCID http://orcid.org/0000-0003-2633-2495
Pau PastorUnit of Neurodegenerative Diseases, Department of Neurology, University Hospital Germans Trias i Pujol, Badalona, Spain.ORCID http://orcid.org/0000-0002-7493-8777
Maria Victoria FernandezDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-9669-5147
Dominantly Inherited Alzheimer Network (DIAN)
Alzheimer’s Disease Neuroimaging Initiative (ADNI)
Daniel J PanyardDepartment of Genetics, Stanford University School of Medicine, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-5480-4803
Corinne D EngelmanDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.
Yuetiva DemingWisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0001-7512-5703
Merce BoadaResearch Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.ORCID http://orcid.org/0000-0003-2617-3009
Amanda CanoResearch Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.
Pablo Garcia-GonzalezResearch Center and Memory Clinic, ACE Alzheimer Center Barcelona, Universitat Internacional de Catalunya, Barcelona, Spain.ORCID http://orcid.org/0000-0003-0125-5403
Neill R Graff-RadfordDepartment of Neurology, Mayo Clinic, Jacksonville, FL, USA.
Hiroshi MoriDepartment of Clinical Neuroscience, Faculty of Medicine, Osaka Metropolitan University, Osaka, Japan.
Jae-Hong LeeUniversity of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
Richard J PerrinHope Center for Neurologic Disorders, Washington University, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-3443-7716
Laura IbanezDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Yun Ju SungDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.ORCID http://orcid.org/0000-0002-8021-4070
Carlos CruchagaDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA. cruchagac@wustl.edu.ORCID http://orcid.org/0000-0002-0276-2899

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
Identification and Characterization of Cell-Specific Transposable Elements Implicated on Alzheimer Disease and Healthy AgingR01AG078964 · NIA · WASHINGTON UNIVERSITY · PI Carlos Cruchaga, Bess Frost · 2022 to 2026
$9.0M
Genetic Architecture of Alzheimer’s disease ProteinopathiesR01AG064877 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CRUCHAGA, CARLOS, KAMBOH, M. ILYAS · 2021 to 2024
$8.4M
VCID Center Without Walls for Understanding and Leveraging Small Vessel Cerebrovascular Disease Mechanisms in ADRDRF1NS139970 · NINDS · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, GOYAL, MANU S · 2024 to 2024
$4.4M
USING QUANTITATIVE TRAITS TO IDENTIFY NOVEL GENES FOR ALZHEIMERS DISEASE AND OTHER COMPLEX TRAITSRF1AG053303 · NIA · WASHINGTON UNIVERSITY · PI CLIMER, SHARLEE, CRUCHAGA, CARLOS · 2016 to 2020
$4.0M
Genomic and Metabolomic Data Integration in a Longitudinal Cohort at Risk for Alzheimer's DiseaseRF1AG054047 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI ENGELMAN, CORINNE D. · 2022 to 2025
$3.8M
Genomic and Metabolomic Data Integration in a Longitudinal Cohort at Risk for Alzheimer's DiseaseR01AG054047 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI ENGELMAN, CORINNE D. · 2016 to 2020
$3.6M
GENETIC MODIFIERS OF CEREBROSPINAL FLUID TREM2 IN ALZHEIMER'S DISEASERF1AG058501 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, PICCIO, LAURA · 2018 to 2018
$3.5M
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG044546NIA NIH HHS R01 AG054047NIA NIH HHS R01 AG058501NIA NIH HHS R01 AG064877NIA NIH HHS R01 AG074007NIA NIH HHS R01 AG078964NIA NIH HHS R01 AG089239NIA NIH HHS RF1 AG053303NIA NIH HHS RF1 AG054047NIA NIH HHS RF1 AG058501NIA NIH HHS RF1 AG074007NIA NIH HHS U01 AG024904NIA NIH HHS U01 AG058922NIA NIH HHS U19 AG032438NINDS NIH HHS K23 NS110927NINDS NIH HHS RF1 NS139970U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging) R01AG044546
6 · The paper itself

Abstract

Brain metabolism perturbation can contribute to traits and diseases. We conducted a genome-wide association study for cerebrospinal fluid (CSF) and brain metabolite levels, identifying 205 independent associations (47.3% new signals, containing 11 new loci) for 139 CSF metabolites, and 32 independent associations (43.8% new signals, containing 4 new loci) for 31 brain metabolites. Of these, 96.9% (CSF) and 71.4% (brain) of the new signals belonged to previously analyzed metabolites in blood or urine. We integrated the metabolite quantitative trait loci (MQTLs) with 23 neurological, psychiatric and common human traits and diseases through colocalization to identify metabolites and biological processes implicated in these phenotypes. Combining CSF and brain, we identified 71 metabolite-trait associations, such as glycerophosphocholines with Alzheimer's disease, O-sulfo-L-tyrosine with Parkinson's disease, glycine, xanthine with waist-to-hip ratio and ergothioneine with inflammatory bowel disease. Our study expanded the knowledge of MQTLs in the central nervous system, providing insights into human traits.

Indexed as

Alzheimer DiseaseBrainGenome-Wide Association StudyQuantitative Trait LociGlycineHumansMaleMetabolomeParkinson DiseasePhenotypePolymorphism, Single NucleotideTyrosineWaist-Hip RatioXanthineGlycineTyrosineXanthine

Identifiers

PMID39528826
PMCPMC12090064

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.