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Record W3124935222 · doi:10.1038/s41380-020-01006-9

Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder

2021· review· en· W3124935222 on OpenAlexaff
Xiaoming Jia, Fernando S. Goes, Adam E. Locke, Duncan S. Palmer, Weiqing Wang, Sarah Cohen‐Woods, Giulio Genovese, Anne Jackson, J Chen, Mark Kvale, Niamh Mullins, Hoang Nguyen, Mehdi Pirooznia, Margarita Rivera, Douglas M. Ruderfer, Ling Shen, Khanh K. Thai, Matthew Zawistowski, Yongwen Zhuang, Gonçalo R. Abecasis, Huda Akil, Sarah E. Bergen, Margit Burmeister, Sinéad B. Chapman, Melissa delaBastide, Anders Juréus, Hyun Min Kang, Pui–Yan Kwok, Jun Z. Li, Shawn Levy, Eric T. Monson, Jennifer L. Moran, Janet L. Sobell, Stanley J. Watson, Virginia L. Willour, Sebastian Zöllner, Rolf Adolfsson, Douglas Blackwood, Michael Boehnke, Gerome Breen, Aiden Corvin, Nick Craddock, Arianna DiFlorio, Christina M. Hultman, Mikael Landén, Cathryn M. Lewis, Steven A. McCarroll, W. Richard McCombie, Peter McGuffin, Andrew M. McIntosh, Andrew McQuillin, Derek W. Morris, R Myers, Michael O‘Donovan, Roel A. Ophoff, Marco P. Boks, René S. Kahn, Willem H. Ouwehand, Michael J. Owen, Carlos N. Pato, Michele T. Pato, Daniëlle Posthuma, James B. Potash, Andreas Reif, Pamela Sklar, Jordan W. Smoller, Patrick F. Sullivan, John B. Vincent, James Walters, Benjamin M. Neale, Shaun Purcell, Neil Risch, Catherine Schaefer, Eli A. Stahl, Peter P. Zandi, Laura J. Scott

Bibliographic record

VenueMolecular Psychiatry · 2021
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersNational Institute on AgingNational Centre for the Replacement, Refinement and Reduction of Animals in ResearchDalio FoundationKaiser PermanenteNational Institute of Mental HealthMedical Research CouncilWayne and Gladys Valley FoundationRobert Wood Johnson FoundationNational Cancer InstituteNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsBipolar disorderGenome-wide association studyExome sequencingHeritabilityGeneticsGeneBiologyExomeGenetic associationSingle-nucleotide polymorphismPhenotypeMissing heritability problemGenetic variationCandidate geneGenotypeEndocrinology

Abstract

fetched live from OpenAlex

Abstract Bipolar disorder (BD) is a serious mental illness with substantial common variant heritability. However, the role of rare coding variation in BD is not well established. We examined the protein-coding (exonic) sequences of 3,987 unrelated individuals with BD and 5,322 controls of predominantly European ancestry across four cohorts from the Bipolar Sequencing Consortium (BSC). We assessed the burden of rare, protein-altering, single nucleotide variants classified as pathogenic or likely pathogenic (P-LP) both exome-wide and within several groups of genes with phenotypic or biologic plausibility in BD. While we observed an increased burden of rare coding P-LP variants within 165 genes identified as BD GWAS regions in 3,987 BD cases (meta-analysis OR = 1.9, 95% CI = 1.3–2.8, one-sided p = 6.0 × 10 −4 ), this enrichment did not replicate in an additional 9,929 BD cases and 14,018 controls (OR = 0.9, one-side p = 0.70). Although BD shares common variant heritability with schizophrenia, in the BSC sample we did not observe a significant enrichment of P-LP variants in SCZ GWAS genes, in two classes of neuronal synaptic genes (RBFOX2 and FMRP) associated with SCZ or in loss-of-function intolerant genes. In this study, the largest analysis of exonic variation in BD, individuals with BD do not carry a replicable enrichment of rare P-LP variants across the exome or in any of several groups of genes with biologic plausibility. Moreover, despite a strong shared susceptibility between BD and SCZ through common genetic variation, we do not observe an association between BD risk and rare P-LP coding variants in genes known to modulate risk for SCZ.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
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 head0.012
GPT teacher head0.267
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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations22
Published2021
Admission routes1
Has abstractyes

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