Olivier Cussenot

Prof. Dr. Olivier Cussenot

Department of Urology and Clinical Research Group on Predictive Onco-Urology, Sorbonne University, 75013 Paris, France
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Research Focus & Metrics

Academic Career Length

41Years (1986-Present)

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

Representative Publications

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1 October 2016 in The American Journal of Human Genetics
Verified
Journal Article
Closed access
NINilah M. Ioannidis
Nilah M. Ioannidis
JRJoseph H. Rothstein
Joseph H. Rothstein
VPVikas Pejaver
Vikas Pejaver
SMSumit Middha
Sumit Middha
SMShannon K. McDonnell
Shannon K. McDonnell
WSWeiva Sieh
Weiva Sieh

1 April 2007 in Nature Genetics
Verified
Journal Article
Closed access
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MYMeredith Yeager
Meredith Yeager
NONick Orr
Nick Orr
RHRichard B Hayes
Richard B Hayes
KJKevin B Jacobs
Kevin B Jacobs
PKPeter Kraft
Peter Kraft
GTGilles Thomas
Gilles Thomas

11 June 2018 in Nature Genetics
Verified
Journal Article
Open access
PDF file
FSFredrick Schumacher
Fredrick Schumacher
AOAli Amin Al Olama
Ali Amin Al Olama
SBSonja I. Berndt
Sonja I. Berndt
SBSara Benlloch
Sara Benlloch
MAMahbubl Ahmed
Mahbubl Ahmed
C(Cancer Of The Prostate In Sweden (Caps)
Cancer Of The Prostate In Sweden (Caps)
Genome-wide association studies (GWAS) and fine-mapping efforts to date have identified more than 100 prostate cancer (PrCa)-susceptibility loci. We meta-analyzed genotype data from a custom high-density array of 46,939 PrCa cases and 27,910 controls of European ancestry with previously genotyped data of 32,255 PrCa cases and 33,202 controls of European ancestry. Our analysis identified 62 novel loci associated (P < 5.0 × 10−8) with PrCa and one locus significantly associated with early-onset PrCa (≤55 years). Our findings include missense variants rs1800057 (odds ratio (OR) = 1.16; P = 8.2 × 10−9; G>C, p.Pro1054Arg) in ATM and rs2066827 (OR = 1.06; P = 2.3 × 10−9; T>G, p.Val109Gly) in CDKN1B. The combination of all loci captured 28.4% of the PrCa familial relative risk, and a polygenic risk score conferred an elevated PrCa risk for men in the ninetieth to ninety-ninth percentiles (relative risk = 2.69; 95% confidence interval (CI): 2.55–2.82) and first percentile (relative risk = 5.71; 95% CI: 5.04–6.48) risk stratum compared with the population average. These findings improve risk prediction, enhance fine-mapping, and provide insight into the underlying biology of PrCa1.

10 February 2008 in Nature Genetics
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Journal Article
Open access
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GTGilles Thomas
Gilles Thomas
KJKevin B Jacobs
Kevin B Jacobs
MYMeredith Yeager
Meredith Yeager
PKPeter Kraft
Peter Kraft
SWSholom Wacholder
Sholom Wacholder
SCStephen J Chanock
Stephen J Chanock
We followed our initial genome-wide association study (GWAS) of 527,869 SNPs on 1,172 individuals with prostate cancer and 1,157 controls of European origin—nested in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial prospective study—by testing 26,958 SNPs in four independent studies (total of 3,941 cases and 3,964 controls). In the combined joint analysis, we confirmed three previously reported loci (two independent SNPs at 8q24 and one in HNF1B (formerly known as TCF2 on 17q); P < 10−10). In addition, loci on chromosomes 7, 10 (two loci) and 11 were highly significant (between P < 7.31 × 10−13 and P < 2.14 × 10−6). Loci on chromosome 10 include MSMB, which encodes β-microseminoprotein, a primary constituent of semen and a proposed prostate cancer biomarker, and CTBP2, a gene with antiapoptotic activity; the locus on chromosome 7 is at JAZF1, a transcriptional repressor that is fused by chromosome translocation to SUZ12 in endometrial cancer. Of the nine loci that showed highly suggestive associations (P < 2.5 × 10−5), four best fit a recessive model and included candidate susceptibility genes: CPNE3, IL16 and CDH13. Our findings point to multiple loci with moderate effects associated with susceptibility to prostate cancer that, taken together, in the future may predict high risk in select individuals.

24 October 2010 in Nature Genetics
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Journal Article
Open access
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NRNathaniel Rothman
Nathaniel Rothman
MGMontserrat Garcia-Closas
Montserrat Garcia-Closas
NCNilanjan Chatterjee
Nilanjan Chatterjee
NMNuria Malats
Nuria Malats
XWXifeng Wu
Xifeng Wu
SCStephen J Chanock
Stephen J Chanock
Montserrat Garcia-Closas and colleagues report a genome-wide association study for bladder cancer. They identify three new susceptibility loci on chromosomes 22q13.1, 19q12 and 2q37.1. We conducted a multi-stage, genome-wide association study of bladder cancer with a primary scan of 591,637 SNPs in 3,532 affected individuals (cases) and 5,120 controls of European descent from five studies followed by a replication strategy, which included 8,382 cases and 48,275 controls from 16 studies. In a combined analysis, we identified three new regions associated with bladder cancer on chromosomes 22q13.1, 19q12 and 2q37.1: rs1014971, (P = 8 × 10−12) maps to a non-genic region of chromosome 22q13.1, rs8102137 (P = 2 × 10−11) on 19q12 maps to CCNE1 and rs11892031 (P = 1 × 10−7) maps to the UGT1A cluster on 2q37.1. We confirmed four previously identified genome-wide associations on chromosomes 3q28, 4p16.3, 8q24.21 and 8q24.3, validated previous candidate associations for the GSTM1 deletion (P = 4 × 10−11) and a tag SNP for NAT2 acetylation status (P = 4 × 10−11), and found interactions with smoking in both regions. Our findings on common variants associated with bladder cancer risk should provide new insights into the mechanisms of carcinogenesis.

1 June 2015 in European Urology
Verified
Journal Article
Closed access
TSThomas Seisen
Thomas Seisen
BGBenjamin Granger
Benjamin Granger
PCPierre Colin
Pierre Colin
PLPriscilla Léon
Priscilla Léon
GUGuillemette Utard
Guillemette Utard
MRMorgan Rouprêt
Morgan Rouprêt