Xin Yang
@xinyang6699.bsky.social
10 followers 12 following 9 posts
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Reposted by Xin Yang
antonis02.bsky.social
📣CanRisk v.3 for breast and ovarian cancer risk prediction released today

www.canrisk.org

Includes

1️⃣ Adaptations to the U.K. ethnically diverse population:

Pre-print: doi.org/10.1101/2025...

2️⃣ Continuous measures of mammographic density:

Pre-print: doi.org/10.1101/2025...
Reposted by Xin Yang
antonis02.bsky.social
📣 Exciting new opportunity to join the Cancer Data-Driven Detection (CD3) program as Senior Research Programme Manager based at @dphpc.bsky.social @cambridgeuni.bsky.social

Closing date 16 March 2025

Please repost!

More about CD3 below. 👇

www.jobs.cam.ac.uk/job/50376/
xinyang6699.bsky.social
A great example of an MPhil thesis turned to a publication by Carmen Petitjean, whom I had the pleasure of supervising, now a PhD student in the department.
xinyang6699.bsky.social
Multifactorial risk assessment for carriers of pathogenic variants (PV) in breast cancer susceptibility genes may help identify “near-population” PV carriers which and may influence clinical management decisions.
xinyang6699.bsky.social
Compared to considering only family history and reproductive, hormonal and lifestyle factors, incorporating all risk factors can better define the populations at different levels of breast cancer risk.
xinyang6699.bsky.social
When assessing each risk factor individually, the PRS contributed most to the breast cancer risk stratification in the population.
xinyang6699.bsky.social
The full model was well calibrated overall, and in predicting risks for women in different levels of risk and in different age groups.
xinyang6699.bsky.social
Discriminative ability was maximized under the full multifactorial model and was similar in women younger or older than 50 years.
xinyang6699.bsky.social
The model considered information on the polygenic score, questionnaire-based risk factors, pathogenic risk variants in 8 breast cancer risk susceptibility genes and cancer family history.