MétaCan
Menu
Back to cohort
Record W2598599805 · doi:10.3389/fnmol.2017.00083

Genome Wide Association Study (GWAS) between Attention Deficit Hyperactivity Disorder (ADHD) and Obsessive Compulsive Disorder (OCD)

2017· article· en· W2598599805 on OpenAlexaff
McKenzie L. Ritter, Wei Guo, Jack Samuels, Ying Wang, Paul S. Nestadt, Janice Krasnow, Benjamin D. Greenberg, Abby J. Fyer, James T. McCracken, Daniel Geller, Dennis L. Murphy, James A. Knowles, Marco A. Grados, Mark A. Riddle, Steven A. Rasmussen, Nicole McLaughlin, Erika L. Nurmi, Kathleen D. Askland, Bernadette Cullen, John Piacentini, David L. Pauls, O. Joseph Bienvenu, S. Evelyn Stewart, Fernando S. Goes, Brion S. Maher, Ann E. Pulver, Manuel Mattheisen, Ji Qian, Gerald Nestadt, Yin Yao Shugart

Bibliographic record

VenueFrontiers in Molecular Neuroscience · 2017
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of British ColumbiaUniversity of Toronto
FundersNational Institute of Mental HealthNational Institutes of HealthLundbeckfonden
KeywordsGenome-wide association studyAttention deficit hyperactivity disorderSingle-nucleotide polymorphismObsessive compulsiveGenetic associationPsychologyPhenotypePsychiatryClinical psychologyMedicineGeneticsBiologyGenotypeGene

Abstract

fetched live from OpenAlex

Objective: The aim of this study was to identify any potential genetic overlap between attention deficit hyperactivity disorder (ADHD) and obsessive compulsive disorder (OCD). We hypothesized that since these disorders share a sub-phenotype, they may share common risk alleles. In this manuscript, we report the overlap found between these two disorders. Methods: A meta-analysis was conducted between ADHD and OCD, and polygenic risk scores were calculated for both disorders. In addition, a protein-protein analysis was completed in order to examine the interactions between proteins; p-values for the protein-protein interaction analysis was calculated using permutation. Conclusion: None of the SNPs reached genome wide significance and there was little evidence of genetic overlap between ADHD and OCD.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.305
Teacher spread0.282 · 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 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

Citations18
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers in Molecular NeuroscienceSame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207