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Clinical Genetics: De Novo Mutations, Selfish Selection, Mosaicism and Human Disease - developing methods for identification of new genes/molecular pathways subject to selfish selection within the human testis


Project Description

De novo mutations (DNMs) are a significant contributor to human disease, affecting ~1:300 new births. We study the mechanisms by which these spontaneous mutations arise in the first instance, concentrating on the tissue where most of them originate, the human testis. We aim to understand why some pathogenic mutations arise more frequently than others and develop non-invasive prenatal screening approaches for the most commonly recurring DNMs.

Most (>80%) DNMs originate in the paternal germline during spermatogenesis, explaining why the main risk factor for DNMs is the age of the father at conception. The human testis represents a ‘repository’ of DNMs that can be exploited to study the process by which new mutations are acquired at each generation. We have previously described a mechanism contributing to the paternal age-related increase in pathogenic DNMs called ‘selfish selection’, a process equivalent to neoplasia but occurring in the unique context of the male germline stem cell. These ‘selfish DNMs’ become enriched with age, because they “hijack” the normal homeostatic mechanisms controlling spermatogonial stem cells to their own advantage. We have been able to visualise this process in situ and suggested that the mechanisms involved in selfish selection are similar to those described for tumorigenesis. However, unlike somatic variants in cancer, selfish mutations are transmitted across generations and have the potential to shape human genome evolution.

Although most DNMs are one-off events that occur during spermatogenesis, they can also originate through a process called ‘gonadal mosaicism’. In this case, the DNM would have arisen early during one of the parents’ development and will be present in multiple eggs or sperm, leading to an increased recurrence risk (as high as 50%). Hence it is essential to be able to single-out DNMs caused by gonadal mosaicism from the more common one-off events which have no risk of recurring in another child.

This project will aim to develop methods for identification of new genes/molecular pathways subject to selfish selection within the human testis and establish the potential impact that this process has on human disease and genome evolution. Understanding the landscape of selfish mutations will allow the development of non-invasive screening approaches for the most commonly recurring selfish DNMs.

This project represents a unique opportunity to gain in-depth training in Human Genetics, development and sequencing technologies. It will combine the use of novel molecular technologies (such as molecular inversion probes and LockDown probes) with the implementation of next generation sequencing (Illumina, PacBio, Oxford Nanopore Technologies) using human tissue and/or cell free fetal (cff) DNA, in order to develop approaches to the molecular analysis of rare DNMs. Training will be provided both in basic molecular biology (DNA extraction, PCR, sequencing, genotyping, haplotyping) as well as use in the use of advanced technologies such as those listed above. A significant portion of the project will involve development of bioinformatic pipelines and statistical analysis. It should be of particular value to individuals with an interest in analysis of rare mutation, genomic mechanisms of disease, clinical diagnosis and application of state-of-the-art genomics technologies. Attendance at (international) meetings to present and discuss data is encouraged.

As well as the specific training detailed above, students will have access to high-quality training in scientific and generic skills, as well as access to a wide-range of seminars and training opportunities through the many research institutes and centres based in Oxford.

The Department has a successful mentoring scheme, open to graduate students, which provides an additional possible channel for personal and professional development outside the regular supervisory framework. We hold an Athena SWAN Silver Award in recognition of our efforts to build a happy and rewarding environment where all staff and students are supported to achieve their full potential.

Funding Notes

Funding for this project is available through the RDM Scholars Programme or the WIMM Prize Studentship. Both programmes offer funding to outstanding candidates from any country. Successful candidates will have all tuition and college fees paid and will receive a stipend of £18,000 per annum.

Applications must be received, including all relevant supporting materials, by Friday 11th January 2019 at 12 noon (midday).

Please visit our website for more information on how to apply.

References

Maher GJ, Ralph HK, Ding Z, Koelling N, Mlcochova H, Giannoulatou E, Dhami P, Paul DS, Stricker SH, Beck S, McVean G, Wilkie AOM & Goriely A*: Selfish mutations dysregulating RAS-MAPK signaling are pervasive in aged human testes, under re-review – uploaded on bioRxiv on 4th May 2018


Bernkopf M, Morgan T, Hunt D, Collins AL, Fairhurst J, Robertson SP, Douglas AGL*, Goriely A*, 2017: Quantification of transmission risk in a male patient with a FLNB mosaic mutation causing Larsen syndrome: implications for genetic counselling in post-zygotic mosaicism cases, Hum Mutat, 38(10):1360-1364 [PMC5638069]


Goriely A*, 2016 Decoding germline de novo mutations. Nat Genet 48(8), 823-824 [PMID: 27463396]


Maher GJ, McGowan SJ, Giannoulatou E, Verrill C, Goriely A*, Wilkie AOM* 2016 Visualizing the origins of selfish de novo mutations in individual seminiferous tubules of human testes, Proc Natl Acad Sci USA, 113(9):2454-2459


Maher GJ, Goriely A*, Wilkie AOM, 2014: Cellular evidence for selfish spermatogonial selection in aged human testes. Andrology, 2(3):304-314. (* corresponding author).


Goriely A* & Wilkie AOM*, 2012: Paternal age effect mutations and selfish spermatogonial selection: causes and consequences for human disease. Am J Hum Genet. 90(2):175-200.

How good is research at University of Oxford in Clinical Medicine?

FTE Category A staff submitted: 238.51

Research output data provided by the Research Excellence Framework (REF)

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