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Abstract MP086: Association Between the Angiotensin-Converting Enzyme-2 Gene and Blood Pressure in a Cohort of Canadian Adolescents

2012· article· en· W2887412318 on OpenAlexaffabout
Lucile Malard, Lisa Kakinami, Jennifer O’Loughlin, Marie‐Hélène Roy‐Gagnon, Aurélie Labbe, Louise Pilote, Pavel Hamet, Johanne Tremblay, Gilles Paradis

Bibliographic record

VenueCirculation · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalMcGill University
Fundersnot available
KeywordsMedicineSingle-nucleotide polymorphismBlood pressureLinkage disequilibriumCohortInternal medicineConfoundingPopulationGeneticsGenotypeGeneBiology

Abstract

fetched live from OpenAlex

Background: The Angiotensin-Converting Enzyme-2 (ACE2) gene, located on chromosome X, is believed to be implicated in blood pressure (BP) regulation. However the few studies that have assessed this association have yielded mixed results. We examined the association between BP and ACE2 single nucleotide polymorphisms (SNPs) in a population-based cohort of adolescents, thereby minimizing confounding by treatment for hypertension and other chronic diseases. Methods: Participants were 852 of 1293 adolescents from the Nicotine Dependence In Teens (NDIT) cohort study. Participants provided a blood sample for DNA, and BP was measured on the right arm at rest, in the sitting position, by trained, certified technicians using an automated oscillometric device at age 12, 15 and 17 years. Instruments were calibrated against mercury sphygmomanometer before each data collection. Systolic (SBP) and diastolic blood pressure (DBP) were measured 3 times at 1-minute intervals, and the mean was used for analysis. Four SNPs (rs2074192, rs233575 , rs2158083, rs1978124) in the ACE2 gene were genotyped. The relationship between ACE2 SNPs and each of SBP and DBP was examined using linear growth models adjusted for height and ethnicity, and stratified by sex. Results: Mean age at baseline was 12.7 years; 47.8% of participants were male (n=407 of 852). All SNPs were in Hardy-Weinberg equilibrium (p>0.05), and three of the four SNPs were in linkage disequilibrium ( rs233575 and rs2158083 r2: 0.71; rs1978124 and rs233575 r2: 0.36; rs2158083 and rs1978124 r2: 0.52) with each other. SNP rs2074192 was in low linkage disequilibrium with these 3 SNPs (r2 <0.3). Compared to boys carrying the G allele, SBP in boys carrying the A allele of SNP rs2074192 was 2.45 mmHg lower (CI: 0.20-4.70, p=0.0350); DBP was 1.67 mmHg lower (CI: 0.47-2.87, p=0.0067). SNPs rs233575 , rs2158083, and rs1978124 were not significantly associated with SBP or DBP in boys. None of the four SNPs were associated with SBP or DBP in girls. Conclusion: Because elevated BP tracks from childhood to adulthood, the ACE2 gene could represent a new therapeutic target in boys to prevent elevated BP. Association between this gene and BP and potential for prevention should be further investigated.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.216
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".

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Citations0
Published2012
Admission routes2
Has abstractyes

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