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HEIndividual fellowship2022–2023

RMCmplxPheno · Recurrent miscarriage as a complex phenotype: Harnessing large-scale clinical data to uncover underlying biological pathways

Horizon Europe — Marie Skłodowska-Curie Actions

Duration
2022-07-01 → 2023-12-31
EU contribution
€173,081
Participants
1
Scheme
HORIZON-TMA-MSCA-PF-EF

Lines connect the coordinator with its partners.

Results in brief

Recurrent miscarriage as a complex phenotype: Harnessing large-scale clinical data to uncover underlying biological pathways

The brain is integral to controlling the endocrine system, including the production and regulation of reproductive hormones. In particular, three regions of the brain; the hypothalamus – which produces gonadotropin-releasing hormone (GnRH); the pituitary gland – which produces several gonadotropins in response to GnRH; and the olfactory bulbs – through which the GnRH releasing nerves extend during fetal development. Morphological variation in these regions has been shown to have consequences to reproductive health across a spectrum of severity. At the common end of the spectrum, variation in the size of the pituitary gland correlates with sex-steroid concentrations. At the pathological end of the spectrum, individuals with Kallmann syndrome - a condition characterised by late or absent onset of puberty, infertility, and anosmia – have hypoplasic or absent olfactory bulbs. Aims: 1. Identify image-derived phenotypes from MRI images of the brain to identify novel phenotypes associated with reproductive hormone regulation. 2. Identify biological pathways underlying the variation in brain morphology of endocrine regions using genetic analysis. 3. Understand how genetics is affecting endocrine brain morphology at a granular resolution using high-dimensional analyses.

Data: CORDIS, © European Union

Project objective

Recurrent miscarriage (RM) affects 1% of couples trying to conceive and has a wide range of negative physical and mental impacts yet still has few evidence-based, preventative treatments. RM is used as a catch-all term for an event with diverse underlying causes. Broad categorisation hampers research targeting specific causes that could identify potential therapeutic avenues. This generalisation compounds trauma for patients and the path to successful pregnancy is unclear.As a MSCA fellow at the University of Copenhagen, I will generate deeper understanding of RM aetiology by identifying granular subgroups of RM and elucidating their underlying biology. To do so I will: 1) Establish novel phenotypes derived from clinical data in electronic health records, including ultrasound images, and use these phenotypes to identify clinical phenotypes driving current miscarriage classification systems. 2) Apply hypothesis-free unsupervised machine learning to clinical data to disentangle complex phenotypes of RM into clinically relevant subgroups. 3) Employ genetic analyses to characterise biological pathways underlying these RM subgroups and identify potential therapeutic avenues.This fellowship will allow me to apply my skills and expertise in large-scale biomedical data analysis and genetics to a new field in which I will pursue a long-term career. In particular it will provide training in field specific scientific knowledge (obstetrics and gynaecology), cutting edge techniques (machine learning) and transferable skills towards scientific leadership (research management).Taken together the outcomes of this interdisciplinary research will have ramifications for researchers, clinicians and patients. For researchers, a granular understanding of RM and its causes will enable discovery of novel therapeutic avenues. For clinicians, it would assist clinical decision making towards personalised treatments. For patients, alleviation of trauma through empowerment with information.

Original text from CORDIS.

Participants

  • KOBENHAVNS UNIVERSITET · KOBENHAVNCoordinatorDenmark

Links

Data: CORDIS, © European Union