Mammographic density and associations with breast cancer risk and genetic variation in postmenopausal women : a causal inference approach
Notice bibliographique
Résumé
The association between mammographic density and breast cancer risk is well known, however, the role of absolute non-dense area remains unclear. Furthermore, even though the associations between breast cancer and known risk factors differ by tumor characteristics, this has not been clearly demonstrated for mammographic density. In addition, not much is known about how the variation in breast cancer related single nucleotide polymorphisms (SNPs) is associated with mammographic density, but given its high heritability, it is possible common genetic determinants could affect both mammographic density and breast cancer. \nThe objectives of this work were to (1) determine the association between non-dense area and breast cancer, as well as confirming the association between dense area and breast cancer, (2) assess the discriminating power captured by the non-dense area parameter on models forecasting breast cancer, (3) estimate breast cancer risk for mammographic density parameters by breast cancer tumor characteristics, and (4) evaluate the relationship between polygenic risk scores (PRS) generated developed to predict genetic risk of breast cancer with mammographic density parameters. \nA population-based case-control study conducted in Vancouver, BC, was used. Detailed questionnaire and clinical information, as well as measured breast density from screening mammography films, were collected. In Chapter 2 estimates of the effects of mammographic density parameters on the risk of breast cancer are computed, using causal inference methods for observational studies. Chapter 3 details the assessment heterogeneity in the relationships between mammographic density parameters and breast cancer risk, according to tumor characteristics. Chapter 4 describes the evaluations of the associations between loci linked in genome-wide association studies to breast cancer risk, and mammographic density parameters, by using recently developed PRS. \nNon-dense area was found to be an independent risk factor, inversely related to breast cancer risk; however it did not improve prediction over the information given by dense area or percent dense area alone. Mammographic density parameters were not associated to breast cancer tumor characteristics. Finally, limited evidence of shared genetic factors between breast cancer risk and mammographic density was observed. These findings provide important information about the association between mammographic density and breast cancer risk.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».