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Evidence on Chromosome 11 for a Quantitative Trait Locus Influencing Levels of Activated Protein C-Protein C Inhibitor Complex.

2004· article· en· W2578256945 on OpenAlexaboutno aff
Carla Y. Vossen, Sandra J. Hasstedt, Peter Callas, Bruce Scott, George L. Long, Frits R. Rosendaal, Edwin G. Bovill

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsGeneticsBiologyLocus (genetics)Identity by descentProtein SAlleleLinkage disequilibriumGeneProtein CHaplotype

Abstract

fetched live from OpenAlex

Abstract Earlier we showed high heritability for the variation in levels of activated protein C-protein C inhibitor complex in a large kindred with type I protein C deficiency (Vossen et al. 2004). To identify genomic regions, which might harbour a gene with a mutation that accounts for a difference in the levels of activated protein C-protein C inhibitor complex, we performed a variance component linkage analysis. Family members were genotyped for 375 autosomal markers at the Marshfield Medical Research Foundation with an average marker spacing of 9.4 cM (range 0–18 cM) and an average marker heterozygosity of 75% (range 42–89%). Levels of activated protein C-protein C inhibitor complex were measured using commercial paired antibody sets from Affinity Biologicals Inc. (Ancaster, Ontario, Canada). We estimated the probability of Identity By Descent (IBD) using the multipoint IBD method in Simwalk2 (Sobel & Lange 1996), in which the proportion of alleles shared identical by descent at marker loci is used to estimate IBD sharing at arbitrary points along the chromosome for each relative pair. Then, variance component linkage analysis was performed using SOLAR (Almasy & Blangero 1998) to test whether a proportion of the genetic variance in the levels of activated protein C-protein C inhibitor complex could be attributed to specific genomic locations. The levels of activated protein C-protein C inhibitor were log-transformed to reduce skewness (from 3.0 to 0.2) and kurtosis (from 11.6 to 0.4) and were assumed to distribute as a multivariate normal density with correlation =h2K + c2H + q2B + e2I, where matrix K contains the kinship coefficients, H contains 1 for pairs from the same household and 0 otherwise, B contains the IBD probabilities, and I represents the identity matrix. The parameters for heritability (h2), household effect (c2), and heritability contributed to a specific genomic location (q2) as well as the effects of the covariates were estimated simultaneously using maximum likelihood analysis. Lod scores were computed as the log10 likelihood for q2 estimated to q2=0. A lod score of 3.3 was used as cut-off point for statistical evidence for significant linkage (as suggested by Lander and Kruglyak 1995), and a lod score above 1.9 but below 3.3 for suggestive linkage evidence. We found suggestive linkage evidence for levels of activated protein C in complex with protein C inhibitor in 121 tested family members (without a history of venous thrombosis) for a region on chromosome 11 (marker D11S969, 146 cM) with a LOD-score of 2.6, with age added to the model. As no obvious candidate genes were available under the peak, and because the linkage region is too wide to be certain of linkage, we are currently finemapping the peak by adding microsatellite markers to the genome scan to narrow the region on chromosome 11.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.001

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 head0.125
GPT teacher head0.331
Teacher spread0.206 · 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

Citations0
Published2004
Admission routes1
Has abstractyes

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