Leveraging genetic variation to understand chromosome pairing, meiosis and the evolution of human disease risk
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AI plain-English summaryEvery time a human egg or sperm cell forms, chromosomes must pair up and swap genetic material with precision—when this process goes wrong, it causes infertility, miscarriage, cancer, and developmental disorders. This project aims to uncover the genetic controls that govern that pairing, known as synapsis, and the recombination that follows, by exploiting natural genetic variation in both fertile and infertile people. The researchers will also map how the genome’s physical structure and gene activity change during meiosis, using single-cell techniques to track which proteins orchestrate each step and how genetic differences alter the outcome. Separately, they will build evolutionary trees from hundreds of thousands of modern and ancient human genomes, using recombination-driven changes along the DNA to trace how disease-risk variants arose and how natural selection has shaped them over time. This is fundamental science: it will not produce a treatment tomorrow. But understanding the basic mechanics of chromosome pairing and the evolutionary history of disease variants could eventually inform fertility diagnostics, cancer risk prediction, and therapies for chromosomal disorders—much as past discoveries in meiosis laid the groundwork for prenatal screening and assisted reproduction.
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