Completed Genetics & Molecular Biology Pregnancy, Children & Inherited Conditions

Selfish selection of de novo mutations in the male germline

In plain English

AI plain-English summary

A single mutated sperm cell can outcompete its healthy neighbours, multiplying into thousands of copies that flood a man’s semen and dramatically raise his child’s risk of a genetic disorder. This phenomenon, called selfish selection, explains why some disease-causing mutations appear up to 1,000 times more often than expected. The mutations hijack the normal machinery of sperm production, behaving like a slow-growing cancer in the testis. Yet scientists know almost nothing about how this process works in living human tissue. The researchers will map mutations across individual sperm-producing tubules, model how mutant cell clones spread, and mine existing family-trio databases for tell-tale mutation patterns. If successful, this work will reveal which disease genes are subject to selfish selection—potentially explaining why certain severe childhood disorders, such as Noonan syndrome or FGFR3-related skeletal dysplasias, arise so frequently from new paternal mutations. It could also reshape genetic counselling for older fathers. Beyond immediate clinical use, the project is fundamentally about how the male germline evolves. Understanding this selfish cellular behaviour may one day inform strategies to detect or block the spread of harmful mutations before they are passed on.

View original technical description
Understanding the factors determining the occurrence of de novo mutations (DNMs) in the human genome is central to genetic disease and genome biology. DNMs arise predominantly in the male germline and increase in frequency with paternal-age. Despite the fact that germline mutation rates are intimately linked to spermatogenesis, very little is known about testicular homeostasis in humans. This proposal aims to address this gap in knowledge by focusing on a new disease-mechanism whereby pathogenic DNMs are preferentially transmitted because they hijack the mechanisms controlling spermatogenesis. This selfish selection process relies on principles similar to oncogenesis to explain why some paternally-derived mutations occur spontaneously up to 1000-fold more frequently than background. Exploiting our current knowledge of selfish selection, this proposal will deploy novel methodologies to describe mutations/genes/pathways subject to this phenomenon, including (1) cataloguing DNMs at single-seminiferous tubule resolution, in geographically-mapped testicular biopsies and in sperm; (2) modelling clonal DNM distribution in tubules to describe spermatogonial dynamics; (3) mining large DNM databases from family trios to detect mutational enrichment. We will also investigate 'selfish mitotic drive', a novel mechanism of mutation enrichment. Together these approaches will allow us to assess the significance of selfish selection for human disease and genome evolution.

View the original record at the funder ↗

Researchers

Anne Goriely (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Selfish mutations in the testis: impact on evolution and disease.
Pathogenic variants and clonal dynamics in normal and cancerous testes and their role in cancer predisposition
Molecular mechanisms shaping the germ-line transmission of mitochondrial DNA variants
High-throughput in vivo screens for the genetic determinants of genomic stability and cancer susceptibility
Nuclear genomic control of mitochondrial DNA heteroplasmy in humans: population genetics & disease

Original classification

Investigator Award in Science

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.