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SUMMARY:Calum Gabbutt (Imperial College London)
DTSTART:20250507T111500Z
DTEND:20250507T120000Z
DTSTAMP:20260422T155330Z
UID:gbgstats/81
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/gbgstats/81/
 ">Timing copy number alterations in Barrett’s Oesophagus using hierarchi
 cal Bayesian models</a>\nby Calum Gabbutt (Imperial College London) as par
 t of Gothenburg statistics seminar\n\nLecture held in MVL14.\n\nAbstract\n
 The accumulation of somatic copy number alterations (CNAs) is a key genomi
 c risk factor in the progression from Barrett’s Oesophagus (a pre-malign
 ant condition\, BO) to oesophageal adenocarcinoma (OAC). However\, the tim
 ing and evolutionary dynamics of these CNAs have remained elusive. In this
  talk\, I will introduce CARBINE (Copy number AlteRation timing with Bayes
 ian Inference and Neutral Evolution)\, a hierarchical Bayesian framework d
 esigned to infer the calendar-time occurrence of CNAs from deep whole-geno
 me sequencing data. CARBINE leverages molecular clock signals and clonal e
 volutionary theory to estimate patient-specific mutation rates\, clonal gr
 owth dynamics\, and the timing of genomic events from single-timepoint sam
 ples. Using this method\, we find that critical alterations\, such as whol
 e-genome doubling and TP53 inactivation\, often occur decades before cance
 r diagnosis\, including during early life\, and are followed by long perio
 ds of indolent clonal expansion. Furthermore\, we show that the rate of CN
 A accumulation—estimated from single snapshots—outperforms overall bur
 den as a predictor of progression to OAC. This new insight into the tempor
 al evolution of BO underscores the potential of early-life genomic profili
 ng to stratify cancer risk and informs strategies for early intervention.\
 n
LOCATION:https://researchseminars.org/talk/gbgstats/81/
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