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Abstract 12056: Angiopoietin-Like Protein 3 Blood Levels and Cardiometabolic Traits and Diseases: A Mendelian Randomization Study

2022· article· en· W4380786367 on OpenAlexaff
Émilie Gobeil, Jérôme Bourgault, Éloi Gagnon, Benoît J. Arsenault

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineMendelian randomizationGenome-wide association studyInternal medicinePCSK9Fatty liverType 2 diabetesDiseaseDiabetes mellitusEndocrinologyPhysiologySingle-nucleotide polymorphismGeneticsCholesterolLipoproteinGenotypeGeneBiologyGenetic variantsLDL receptor

Abstract

fetched live from OpenAlex

Introduction: Angiopoietin-like 3 (ANGPTL3) is a key regulator of blood lipid levels. ANGPTL3 inhibitors are currently under investigation for their impact on metabolic and cardiovascular health. Our objective was to investigate the causal effect of genetically-predicted blood ANGPTL3 levels on cardiometabolic traits and diseases using Mendelian randomization (MR). Methods: We performed a series of two-sample MR studies using cis-acting variants on ANGPTL3 blood levels measured using aptamers in 35,559 participants of the deCODE study. We used inverse-variance weighted-MR to assess the effect of genetically-predicted blood ANGPTL3 levels on lipid and apolipoprotein B levels (from the UK Biobank, n = 441,016 participants), non-alcoholic fatty liver disease (from a genome-wide association meta-analysis [GWAS] of 8434 cases and 770,614 controls of European ancestry), type 2 diabetes (from the DIAGRAM consortium, 74,124 cases and 824,006 controls), acute pancreatitis (from a GWAS of 7832 cases and 793,427 controls of European ancestry) and coronary artery disease (from the CARDIoGRAMplusC4D and UK Biobank GWAS meta-analysis [34,541 cases and 261,984 controls of European ancestry]). Results: We selected 27 independent variants near or in the ANGPTL3 region associated with ANGPTL3 blood levels (R2<0.1, p<5x10 -08 ). Genetically-predicted ANGPTL3 levels were strongly and significantly associated with triglyceride and apolipoprotein B levels (beta [SE] = 0.156 [0.032], p-value = 1.05x10 -06 , and beta [SE] = 0.058 [0.013], p-value = 8.16x10 -06 , respectively) but were not associated with non-alcoholic fatty liver disease, type 2 diabetes or coronary artery disease (all p-values > 0.05). Genetically-predicted ANGPTL3 levels were however significantly associated with acute pancreatitis (beta [SE] = 0.071 [0.025], and p-value = 0.004). Conclusions: Our two-sample MR study revealed that blood ANGPTL3 levels may be causally-related to lipid-lipoprotein levels, but not with cardiometabolic diseases. Blood ANGPTL3 levels were however associated with acute pancreatitis, thereby suggesting that ANGPTL3 inhibition might warrant further investigation in the prevention of acute pancreatitis.

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)0.017
metaresearch head score (Gemma)0.030
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 score0.017
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.016
GPT teacher head0.249
Teacher spread0.233 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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