Please find attached and below a PhD project open to the PhD fellowship 2026 competition in Strasbourg
PhD project on
Genetic determinants of outstanding athletic performance
at IGBMC – Strasbourg - France
Research topic: World-class athletes display extraordinary physiological adaptations allowing them to perform at the limits of human endurance. These capabilities are driven not only by
training and environment but also by genetic factors influencing muscle metabolism, oxygen utilization, and hypoxia tolerance. The ‘Athlome’ project aims to identify and characterize genetic variants associated with enhanced skeletal muscle performance under
hypoxic conditions by analyzing the genomes of elite freedivers and ski mountaineers located at the extreme of the physiological performance distribution.
The PhD candidate will manage the ATHLOME project using advanced genomic and bioinformatic approaches. Whole-genome sequences from 44 elite athletes have already been generated, and the cohort will be expanded to approximately
80 world-class athletes, including international champions and record holders. Given the moderate cohort size, the project is specifically powered to detect rare variants with large functional effect, enriched in extreme performers compared to ancestry-matched
reference populations (gnomAD and internal datasets). Extreme phenotype sampling substantially increases the probability of detecting rare variants of strong functional impact, conceptually analogous to monogenic disease genetics, compared to conventional
population-based GWAS designs. In parallel, targeted gene-burden analyses will be conducted in genes and pathways previously implicated in oxygen transport, hypoxia signaling, and muscle performance, enabling detection of modest cumulative effects even within
limited sample sizes.
Genotype–phenotype correlations will integrate detailed physiological parameters, including athletic and physiological performances and biochemical data. Functional validation of prioritized variants will be performed
in vitro (splicing assays, protein stability analysis, enzymatic activity testing), providing mechanistic confirmation.
Understanding the genetic determinants of outstanding athletic performance in these unique extreme cohorts offers a natural human model of enhanced muscle and respiratory function. By focusing on rare, high-impact genetic
determinants, ATHLOME aims to uncover protective molecular mechanisms potentially translatable to severe diseases characterized by muscle weakness and respiratory insufficiency, which are also actively investigated within our laboratory.
Candidate profile: you are a highly motivated and talented student with
expertise in Bioinformatics or Informatics and a strong interest in
sports science. English is the communication language in the team.
Location:
The IGBMC institute is a main European center in Biomedical research equipped with 14 cutting-edge core facilities, and is a highly dynamic and international place hosting over 45 independent research groups working on diverse topics.
Strasbourg is a
cosmopolitan city in a beautiful countryside, close to Germany and Switzerland and less than 2 hours from the center of Paris by train.
Application: send a pdf file with your CV and contact details for at least two referees to
Jocelyn Laporte (jocelyn@igbmc.fr)
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Check our latest publications:
. Mutations that harm alone heal together: Combining dynamin 2 myopathy
and neuropathy mutations rescues both phenotypes.
Nat Commun. 2025. doi: 10.1038/s41467-025-59925-6
. Opposite therapies for two diseases linked to the same gene:
BIN1 reduction ameliorates DNM2-related Charcot-Marie-Tooth neuropathy.
Proc Natl Acad Sci U S A. 2025 doi: 10.1073/pnas.2419244122
. Gene therapy for a congenital myopathy:
BIN1 gene replacement reverses BIN1-related centronuclear myopathy.
Mol Ther. doi: 10.1016/j.ymthe.2025.04.036
. A vitamin-supplementation for cancer and myotubular myopathy:
Dietary pro-oxidant therapy by a vitamin K precursor targets PI 3-kinase VPS34 function.
Science. 2024 doi: 10.1126/science.adk9167
. Identification of 14 myopathy genes:
Exome sequencing in undiagnosed congenital myopathy reveals new genes and refines genes-phenotypes correlations.
Genome Med. 2024 doi: 10.1186/s13073-024-01353-0
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Jocelyn Franck LAPORTE
Team «Muscle And Diseases»
Dpt of Translational Medicine
I.G.B.M.C.
1, rue Laurent Fries
B.P. 10142
67404 ILLKIRCH
France
+33 388653412