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Record W3217331781 · doi:10.1038/s41380-021-01378-6

Epigenome-wide association study of alcohol consumption in N = 8161 individuals and relevance to alcohol use disorder pathophysiology: identification of the cystine/glutamate transporter SLC7A11 as a top target

2021· article· en· W3217331781 on OpenAlexaff
Falk W. Lohoff, Toni‐Kim Clarke, Zachary Kaminsky, Rosie M. Walker, Mairead L. Bermingham, Jeesun Jung, Stewart W. Morris, Daniel B. Rosoff, Archie Campbell, Miruna C. Barbu, Katrin Charlet, Mark J. Adams, Jisoo Lee, David M. Howard, Emma M. O’Connell, Heather C. Whalley, David J. Porteous, Andrew M. McIntosh, Kathryn L. Evans

Bibliographic record

VenueMolecular Psychiatry · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsRoyal Ottawa Mental Health CentreUniversity of Ottawa
FundersNational Institute on Alcohol Abuse and AlcoholismEfficacy and Mechanism Evaluation ProgrammeMedical Research CouncilNational Institutes of HealthScottish GovernmentScottish Funding CouncilWellcome TrustChief Scientist Office, Scottish Government Health and Social Care DirectorateNational Alliance for Research on Schizophrenia and Depression
KeywordsAlcohol use disorderAlcoholMedicineMendelian randomizationAlcohol dependenceInternal medicineBioinformaticsBiologyGeneticsBiochemistryGeneGenotype

Abstract

fetched live from OpenAlex

Abstract Alcohol misuse is common in many societies worldwide and is associated with extensive morbidity and mortality, often leading to alcohol use disorders (AUD) and alcohol-related end-organ damage. The underlying mechanisms contributing to the development of AUD are largely unknown; however, growing evidence suggests that alcohol consumption is strongly associated with alterations in DNA methylation. Identification of alcohol-associated methylomic variation might provide novel insights into pathophysiology and novel treatment targets for AUD. Here we performed the largest single-cohort epigenome-wide association study (EWAS) of alcohol consumption to date ( N = 8161) and cross-validated findings in AUD populations with relevant endophenotypes, as well as alcohol-related animal models. Results showed 2504 CpGs significantly associated with alcohol consumption (Bonferroni p value < 6.8 × 10 −8 ) with the five leading probes located in SLC7A11 ( p = 7.75 × 10 −108 ) , JDP2 ( p = 1.44 × 10 −56 ) , GAS5 ( p = 2.71 × 10 −47 ) , TRA2B ( p = 3.54 × 10 −42 ), and SLC43A1 ( p = 1.18 × 10 −40 ). Genes annotated to associated CpG sites are implicated in liver and brain function, the cellular response to alcohol and alcohol-associated diseases, including hypertension and Alzheimer’s disease. Two-sample Mendelian randomization confirmed the causal relationship of consumption on AUD risk (inverse variance weighted (IVW) p = 5.37 × 10 −09 ). A methylation-based predictor of alcohol consumption was able to discriminate AUD cases in two independent cohorts ( p = 6.32 × 10 −38 and p = 5.41 × 10 −14 ). The top EWAS probe cg06690548, located in the cystine/glutamate transporter SLC7A11, was replicated in an independent cohort of AUD and control participants ( N = 615) and showed strong hypomethylation in AUD ( p < 10 −17 ). Decreased CpG methylation at this probe was consistently associated with clinical measures including increased heavy drinking days ( p < 10 −4 ), increased liver function enzymes (GGT ( p = 1.03 × 10 −21 ), ALT ( p = 1.29 × 10 −6 ), and AST ( p = 1.97 × 10 −8 )) in individuals with AUD. Postmortem brain analyses documented increased SLC7A11 expression in the frontal cortex of individuals with AUD and animal models showed marked increased expression in liver, suggesting a mechanism by which alcohol leads to hypomethylation-induced overexpression of SLC7A11. Taken together, our EWAS discovery sample and subsequent validation of the top probe in AUD suggest a strong role of abnormal glutamate signaling mediated by methylomic variation in SLC7A11. Our data are intriguing given the prominent role of glutamate signaling in brain and liver and might provide an important target for therapeutic intervention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.265
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations46
Published2021
Admission routes1
Has abstractyes

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