Mark Brook

35 posts

Mark Brook

Mark Brook

@MarkNBrook

Biostatistician in The Division of Genetics and Epidemiology at @ICR_London ORCID: https://t.co/Uji4eswv8s

Katılım Ocak 2021
140 Takip Edilen47 Takipçiler
Mark Brook
Mark Brook@MarkNBrook·
A Personalised Clinical Dynamic Prediction Model to Characterise Prognosis for Patients with Localised Prostate Cancer: analysis of the CHHiP Phase III Trial redjournal.org/article/S0360-…
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Burcu Darst
Burcu Darst@BurcuDarst·
Excited to see this work published! In a large sample of >22K African ancestry men, we show that a rare #HOXB13 variant found only in men of West African ancestry is associated with 2.4-fold higher risk of overall #prostatecancer and 5.1-fold higher risk of metastatic disease.
European Urology@EUplatinum

A Rare Germline HOXB13 Variant Contributes to Risk of Prostate Cancer in Men of African Ancestry buff.ly/3I2YyGw @BurcuDarst et al. "HOXB13 X285K was associated with 2.4-fold increased odds of PCa (95% CI 1.5-3.9), with greater risk for more aggressive/advanced disease"

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Hetan Shah
Hetan Shah@HetanShah·
Very sad that Hon Fellow of @BritishAcademy_ Sir David Cox has died. He was a towering figure in the field of statistics. I remember getting him to do one of the @RoyalStatSoc 180th anniversary lectures in 2014 when he was 90 and still on fine form youtu.be/xRik3vOKLcU
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YouTube
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Prostate Cancer UK
Prostate Cancer UK@ProstateUK·
"Thanks to you, this study will help us understand more about the genetics of prostate cancer." @realpaulparker2 is taking part in our groundbreaking PROFILE study to help us understand why black men are twice as likely to get prostate cancer. Join him: bit.ly/2I4rJzt
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David Conti
David Conti@dvconti·
Constructing and evaluating risk models in non-European ancestry populations is essential to broaden the impact of genomic medicine. Excited to be a part of this group @ChrisHaiman @johnwitte @GENES_PK and others supported by the consortium. @KECKSchool_USC @uscphs @USCBiostat
National Human Genome Research Institute@genome_gov

Research studies are starting to use polygenic risk scores to determine a person’s inherited risk for diseases. @NIH is awarding grants to develop methods that will improve how polygenic risk scores can be used to predict disease in diverse communities. bit.ly/3wednRj

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george davey smith
george davey smith@mendel_random·
Looking forward to Stephen Chanock talking on “Radiation, genomic alterations in papillary thyroid carcinoma and transgenerational studies following the Chernobyl accident” @mrc_ieu online seminar 21st June 3pm UK time, all welcome bristol.ac.uk/integrative-ep…
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Bogdan Pasaniuc
Bogdan Pasaniuc@bpasaniuc·
so excited to see this out. TWAS fails to implicate many risk regions as it focuses on steady-state expression levels. Enter CWAS, that uses chromatin variation to reveal context-dependent gene regulation as drivers of prostate cancer risk biorxiv.org/content/10.110…
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