Evidence map›Paper›PMID 36073519›Full record

ArticleeLife2022

Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation.

Courtney J Smith, Nasa Sinnott-Armstrong, Anna Cichońska, Heli Julkunen, Eric B Fauman, Peter Würtz, Jonathan K Pritchard

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
  2. Review
  3. Genetic architectures of brain-related traits are shaped by strong selective constraints.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  16. Quantitative omnigenic model discovers interpretable genome-wide associations.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  17. Article
  18. Review
  19. Haplotype Analysis Reveals Pleiotropic Disease Associations in the HLA Region.medRxiv : the preprint server for health sciences · 2024
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  20. 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

7 authors.

Courtney J Smith *Department of Genetics, Stanford University School of Medicine, Stanford, United States.ORCID 0000-0002-7812-0083
Nasa Sinnott-Armstrong *Department of Genetics, Stanford University School of Medicine, Stanford, United States.ORCID 0000-0003-4490-0601
Anna CichońskaNightingale Health Plc, Helsinki, Finland.
Heli JulkunenNightingale Health Plc, Helsinki, Finland.ORCID 0000-0002-4282-0248
Eric B FaumanInternal Medicine Research Unit, Pfizer Worldwide Research, Development and Medical, Cambridge, United States.
Peter WürtzNightingale Health Plc, Helsinki, Finland.ORCID 0000-0002-5832-0221
Jonathan K PritchardDepartment of Genetics, Stanford University School of Medicine, Stanford, United States.ORCID 0000-0002-8828-5236

Funding

Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
Mapping Molecular and Phenotypic Interactions in Alzheimers DiseaseR01AG066490 · NIA · STANFORD UNIVERSITY · PI MONTGOMERY, STEPHEN · 2020 to 2024
$3.6M
New methods for constructing and evaluating polygenic scoresR01HG011432 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2020 to 2023
$3.3M
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NHGRI NIH HHS R01 HG008140NHGRI NIH HHS R01 HG011432NIA NIH HHS R01 AG066490
6 · The paper itself

Abstract

Pleiotropy and genetic correlation are widespread features in genome-wide association studies (GWAS), but they are often difficult to interpret at the molecular level. Here, we perform GWAS of 16 metabolites clustered at the intersection of amino acid catabolism, glycolysis, and ketone body metabolism in a subset of UK Biobank. We utilize the well-documented biochemistry jointly impacting these metabolites to analyze pleiotropic effects in the context of their pathways. Among the 213 lead GWAS hits, we find a strong enrichment for genes encoding pathway-relevant enzymes and transporters. We demonstrate that the effect directions of variants acting on biology between metabolite pairs often contrast with those of upstream or downstream variants as well as the polygenic background. Thus, we find that these outlier variants often reflect biology local to the traits. Finally, we explore the implications for interpreting disease GWAS, underscoring the potential of unifying biochemistry with dense metabolomics data to understand the molecular basis of pleiotropy in complex traits and diseases.

Indexed as

Genetic PleiotropyGenome-Wide Association StudyAmino AcidsKetonesPhenotypePolymorphism, Single NucleotideAmino AcidsKetonesgenetic architecturegeneticsgenomicsGWAShumanmetabolites

Identifiers

PMID36073519
PMCPMC9536840

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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.