Kenneth R Muir

Prof. Kenneth R Muir

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 January 2021 in Nature Genetics
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Journal Article
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DCDavid V. Conti
David V. Conti
BDBurcu F. Darst
Burcu F. Darst
LMLilit C. Moss
Lilit C. Moss
ESEdward J. Saunders
Edward J. Saunders
XSXin Sheng
Xin Sheng
CHChristopher A. Haiman
Christopher A. Haiman

14 May 2019 in Nature Communications
Verified
Journal Article
Open access
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PLPhilip J. Law
Philip J. Law
MTMaria Timofeeva
Maria Timofeeva
Ceres Fernández-RozadillaCeres Fernández-Rozadilla
Ceres Fernández-Rozadilla
PBPeter Broderick
Peter Broderick
JSJames Studd
James Studd
MDMalcolm G. Dunlop
Malcolm G. Dunlop
Colorectal cancer (CRC) is a leading cause of cancer-related death worldwide, and has a strong heritable basis. We report a genome-wide association analysis of 34,627 CRC cases and 71,379 controls of European ancestry that identifies SNPs at 31 new CRC risk loci. We also identify eight independent risk SNPs at the new and previously reported European CRC loci, and a further nine CRC SNPs at loci previously only identified in Asian populations. We use in situ promoter capture Hi-C (CHi-C), gene expression, and in silico annotation methods to identify likely target genes of CRC SNPs. Whilst these new SNP associations implicate target genes that are enriched for known CRC pathways such as Wnt and BMP, they also highlight novel pathways with no prior links to colorectal tumourigenesis. These findings provide further insight into CRC susceptibility and enhance the prospects of applying genetic risk scores to personalised screening and prevention.

9 November 2023 in Nature Genetics
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Journal Article
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AWAnqi Wang
Anqi Wang
JSJiayi Shen
Jiayi Shen
ARAlex A. Rodriguez
Alex A. Rodriguez
ESEdward J. Saunders
Edward J. Saunders
FCFei Chen
Fei Chen
CHChristopher A. Haiman
Christopher A. Haiman

7 January 2020 in Nature Genetics
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Journal Article
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GCGEMO Study Collaborators
GEMO Study Collaborators
LFLaura Fachal
Laura Fachal
ECEmbrace Collaborators
Embrace Collaborators
KIKConFab Investigators
KConFab Investigators
HIHEBON Investigators
HEBON Investigators
ADAlison M. Dunning
Alison M. Dunning

12 June 2017 in Nature Genetics
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Journal Article
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UCUK Testicular Cancer Collaboration
UK Testicular Cancer Collaboration
KLKevin Litchfield
Kevin Litchfield
TCThe PRACTICAL Consortium
The PRACTICAL Consortium
MLMax Levy
Max Levy
GOGiulia Orlando
Giulia Orlando
CTClare Turnbull
Clare Turnbull
Clare Turnbull and colleagues report discovery of 19 new susceptibility loci for testicular germ cell tumor (TGCT) and provide evidence for a network of physical interactions between TGCT risk variants and candidate causal genes. Their findings implicate widespread disruption of developmental transcriptional regulators in TGCT susceptibility, consistent with failed primordial germ cell differentiation as an initiating step in oncogenesis. Genome-wide association studies (GWAS) have transformed understanding of susceptibility to testicular germ cell tumors (TGCTs), but much of the heritability remains unexplained. Here we report a new GWAS, a meta-analysis with previous GWAS and a replication series, totaling 7,319 TGCT cases and 23,082 controls. We identify 19 new TGCT risk loci, roughly doubling the number of known TGCT risk loci to 44. By performing in situ Hi-C in TGCT cells, we provide evidence for a network of physical interactions among all 44 TGCT risk SNPs and candidate causal genes. Our findings implicate widespread disruption of developmental transcriptional regulators as a basis of TGCT susceptibility, consistent with failed primordial germ cell differentiation as an initiating step in oncogenesis1. Defective microtubule assembly and dysregulation of KIT–MAPK signaling also feature as recurrently disrupted pathways. Our findings support a polygenic model of risk and provide insight into the biological basis of TGCT.

31 July 2020 in Nature Communications
Verified
Journal Article
Open access
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WHWeang Kee Ho
Weang Kee Ho
MTMin Min Tan
Min Min Tan
NMNasim Mavaddat
Nasim Mavaddat
MTMei-Chee Tai
Mei-Chee Tai
SMShivaani Mariapun
Shivaani Mariapun
AAAntonis C. Antoniou
Antonis C. Antoniou
Polygenic risk scores (PRS) have been shown to predict breast cancer risk in European women, but their utility in Asian women is unclear. Here we evaluate the best performing PRSs for European-ancestry women using data from 17,262 breast cancer cases and 17,695 controls of Asian ancestry from 13 case-control studies, and 10,255 Chinese women from a prospective cohort (413 incident breast cancers). Compared to women in the middle quintile of the risk distribution, women in the highest 1% of PRS distribution have a ~2.7-fold risk and women in the lowest 1% of PRS distribution has ~0.4-fold risk of developing breast cancer. There is no evidence of heterogeneity in PRS performance in Chinese, Malay and Indian women. A PRS developed for European-ancestry women is also predictive of breast cancer risk in Asian women and can help in developing risk-stratified screening programmes in Asia.