Genetic consequences of serial sperm donation
Notice bibliographique
Résumé
Abstract Study question How does serial sperm donation impact genetic risk in the donor-conceived children and their descendants? Summary answer In addition to the psychological effects of serial sperm donation, donor-conceived children are at risk of unintentional inbreeding. This risk is compounded by the hard-to-quantify effect of social proximity between mothers. Such inbreeding would cause children to have up to 15% excess risk of childhood mortality or congenital morbidities. The risk to descendants after many generations is spread across many individuals and remains low as long as the number of donor-conceived children does not increase appreciably. What is known already Inbreeding increases the risk for a range of diseases among the offspring, with the risk increasing with the degree of inbreeding. Sperm donation increases the risk of accidental inbreeding, and thus likely increases disease risk. Study design, size, duration We performed a literature review of risks associated with consanguinity across a range of traits, together with a model-based mathematical analysis to estimate the short- and long-term risk associated with serial sperm donation. Participants/materials, setting, methods We used whole-genome sequencing and imputed sequence data from the CARTaGENE longitudinal study to estimate population prevalence of relevant risk alleles. We performed mathematical modelling based on these results on published estimates of the risk associated with inbreeding. Main results and the role of chance With over 600 children conceived in this serial sperm donation event, 0.1 consanguineous unions would be expected under the simplest model of random mating by generation within the province of Quebec. Preferential mating due to geographic and social proximity among the mothers could increase this rate appreciably, so that accidental inbreeding is not unlikely. Since the likelihood of inbreeding events increases quadratically with the number of children, active inbreeding avoidance by the offspring and interventions to reduce continued serial donation can reduce risk. Over generations, more distant inbreeding is unavoidable, but inbreeding coefficients are reduced. Our model predicts that the long-term excess number of serious adverse events will be fewer than one per generation. The short- and long-term rates of specific diseases may be affected, however, given public information about the donor carrier status, we expect an excess of 0.84 children per generation [95% CI: 0,3] affected by Hereditary Tyrosinemia of type 1. Large scale data CARTaGENE is a biobank based in Quebec, Canada, that is accessible following an independent data access protocol and can be found at: https://cartagene.qc.ca/en/ Limitations, reasons for caution Our analysis relies on uncertain estimates of the burden associated with inbreeding. We also rely on simplifying assumptions about future events, including migrations, social interactions between mothers, and future sperm donation events. As a result, our estimates should be seen as coarse estimates. Wider implications of the findings Serial sperm donation is not uncommon. Each documented instance has raised questions about the genetic burden associated with the practice. By quantifying this risk, this study will help inform the public health and genetic counselling response to these situations, in addition to being of interest from a population genetics perspective. Study funding/competing interest(s) This research was supported by the Canadian Institute for Health Research (CIHR) project grant 437576, NSERC grant RGPIN-2017-04816, the Canada Research Chair program to S.G., and the Canada Foundation for Innovation. T.M.Z was supported by the QLS Grad and Grad Excellence Award. The authors report no competing interests. Consanguinity The degree of relatedness between individuals, as measured by inheritance from recent ancestors. For example, second cousins share on average 3.125% of their DNA from their great-grandparents. Inbreeding The production of offspring from individuals with high consanguinity. Runs of Homozygosity (ROH) Stretches of the genome where identical alleles were received from both parents. The fraction of the genome in ROH is a measure of inbreeding. Donor-Conceived Child (DCC) Child born following sperm donation. DCC(X) refers to a child born following sperm donation by individual X. Congenital Morbidity Diseases or medical conditions present from birth, including physical, intellectual, or developmental. Specifically, does not include any diseases or conditions that arise from exposure to medications or chemicals during gestation or infections during pregnancy.
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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 | 0,004 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».