Genome-Wide Scan for Loci of Adolescent Obesity and Their Relationship with Blood Pressure
Bibliographic record
Abstract
CONTEXT: Hypertension, typically considered a disorder of adulthood, is now emerging in adolescence. This is mainly due to the growing prevalence of obesity and the fact that excess body fat increases blood pressure (BP). OBJECTIVE: The objective of the study was to investigate whether genome-wide identified gene loci of obesity are associated with elevated BP in adolescence. DESIGN: This was a genotype-phenotype association study. SETTING: The study was conducted in a French-Canadian founder population. PARTICIPANTS: Participants included 598 adolescents, aged 12-18 yr. INTERVENTION: Testing associations between 530,011 single-nucleotide polymorphisms (SNP; Human610W-Quad BeadChip) and obesity measures and between identified SNP and BP. PRIMARY OUTCOME MEASURES: Total fat mass (TFM) was assessed with bioelectrical impedance, and body mass index (BMI) was determined with anthropometry. BP was measured beat by beat during an hour-long protocol. RESULTS: The genome-wide association studies of TFM and BMI revealed two novel and several previously identified loci of obesity. The former were PAX5 (rs16933812, TFM: P = 9.3 × 10(-9)) and MRPS22 (rs7638110, BMI: P = 4.6 × 10(-8)), and the top ones among the latter (P < 5 × 10(-4)) were MC4R (rs17773430, BMI: P = 5.8 × 10(-6)), FTO (rs9930333, BMI: P = 1.9 × 10(-4)), and MTCH2 (rs7120548, BMI: P = 1.9 × 10(-4)). From these five, only the PAX5, MRPS22, and FTO were also associated with BP; their minor allele homozygotes vs. major allele homozygotes showed greater TFM by 2.9-8.0 kg and higher BP by 3.3-6.7 mm Hg. CONCLUSIONS: Genome-wide association studies conducted in an adolescent founder population revealed two new and a number of previously identified loci of obesity and demonstrated that several but not all of these loci are also associated with elevated BP. These results begin to reveal the genetic architecture of obesity-induced hypertension.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".