Harnessing New Genomics Technologies to Assess Environmental Risk Factors That May Cause Heritable Genetic Disease
Notice bibliographique
Résumé
It is becoming increasingly apparent that heritable mutations play a major role in developmental disorders, yet we still know little about the role of environmental agents in the etiology of heritable mutations.This is because germ cell mutations are rare and difficult to detect.In this thesis, novel methods were developed to address data gaps in our understanding of mutation induction in sperm and offspring.To test the hypothesis that mutagens induce germline mutations that are inherited in the offspring, MutaMouse males were exposed to 100 mg/kg/day of benzo[a]pyrene (BaP), a known mutagen and common environmental pollutant, and mated to produce offspring.First, sperm from exposed males were analyzed for microsatellite mutations using a single-molecule amplification approach, and results confirmed that BaP induces microsatellite mutations.Second, the MutaMouse model, which uses a mutation reporting transgene, was adapted to facilitate mutation detection in sperm.Pairing this method with next-generation sequencing (NGS) revealed that BaP mutation spectrum in sperm differs from somatic tissues.Third, offspring of BaP-exposed males were screened for the induction of large copy number variations (CNVs).The quantity of CNVs in the BaP group was not significantly greater than controls; however, the types of CNVs were different, suggesting that BaP preferentially induces higher numbers of duplications.Fourth, genomes of the offspring were examined using NGS to detect all de novo mutations that were transmitted.Offspring of BaP-treated sires showed a 2-fold increase in genomewide mutations compared to controls.Induced mutations observed in BaP-treated mice were consistent with the expected BaP mutation spectrum.Lastly, using data from cigarette smoke exposure studies, a common route of BaP exposure, the global impact of iii smoking on genetic disease burden (1.4 million aneuploidies, 2-8 million mutations) was estimated conservatively at 86 billion dollars per generation for intellectual disease alone.Overall, this work furthers our understanding of heritable mutagenesis and allows for predictions to be made on the genetic disease burden of human exposures.Furthermore, these developments will be useful for future analyses of germ cell mutagens, and will be important for making recommendations on future assessments of mutagenic hazards to the germline.I am grateful for the 5 amazing years I have enjoyed as a PhD student at Health Canada and Carleton University.I would have never imagined how much my life would change when I headed to the Environmental Mutagenesis and Genomics Society meeting in Montreal in 2011.There, I spoke with Dr. Carole Yauk about a potential PhD and just over 5 years later here is my finished thesis!It has been a wonderful journey and I have many people I need to thank.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».