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Record W2041538919 · doi:10.1002/ajmg.1616

Chromosome 1q12–q22 linkage results in eastern Québec families affected by schizophrenia

2001· article· en· W2041538919 on OpenAlexafffundabout
Michel Maziade, Alain Fournier, Daniel J. Phaneuf, Denis Cliche, Jean‐Pierre Fournier, Marc‐André Roy, Chantal Mérette

Bibliographic record

VenueAmerican Journal of Medical Genetics · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsPedigree chartGeneticsLocus (genetics)Lod scoreBiologyIdentity by descentPopulationSchizophrenia (object-oriented programming)Genome ScanChromosomeMicrosatelliteAlleleGene mappingDemographyHaplotypeGenePsychiatryMedicine

Abstract

fetched live from OpenAlex

An impressive LOD score of 6.5 has recently been reported for schizophrenia on chromosome 1q21-22 in large families from eastern Canada [Brzustowicz et al., 2000: Science 288:678-682]. We did not reproduce such a finding in large pedigrees of eastern Québec based on seven markers spanning the 1p13-1q22 region and using both the models and phenotypes of Brzustowicz et al. and those used in our ongoing genome scan in 21 large French Canadian families. There was no significant total LOD scores in that chromosomal region (a maximum of 0.57) either for schizophrenia or bipolar disorders, nor any signal in individual large pedigrees. However, the samples of Brzustowicz et al. and ours differed in terms of their origins, the latter being of French ancestry and the former of Celtic and German descent. Population difference, genetic heterogeneity, and differences in ascertainment might explain the lack of replication. The result reported by Brzustowicz et al. cannot be discarded and should probably be considered as a susceptibility locus for a subset of the schizophrenic population.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.040
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.008
GPT teacher head0.270
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), 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

Citations19
Published2001
Admission routes3
Has abstractyes

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Same venueAmerican Journal of Medical GeneticsSame topicGenetic Associations and EpidemiologyFrench-language works237,207