N
Nichola Johnson
Researcher at Institute of Cancer Research
Publications - 87
Citations - 11655
Nichola Johnson is an academic researcher from Institute of Cancer Research. The author has contributed to research in topics: Breast cancer & Genome-wide association study. The author has an hindex of 44, co-authored 79 publications receiving 10336 citations. Previous affiliations of Nichola Johnson include The Breast Cancer Research Foundation.
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Journal ArticleDOI
Association of Genetic Variants at 8q24 with Breast Cancer Risk
Olivia Fletcher,Nichola Johnson,Lorna Gibson,Ben Coupland,Agnes Fraser,Angela Leonard,Isabel dos Santos Silva,Alan Ashworth,Richard S. Houlston,Julian Peto +9 more
TL;DR: Evidence of a protective effect for breast cancer of one variant that has been associated previously with a 1.25-fold increased risk of prostate cancer, with no effect for the two other variants, indicates that the effects of the risk alleles clustered at 8q24 are cancer site specific.
Journal ArticleDOI
Evidence that the 5p12 Variant rs10941679 Confers Susceptibility to Estrogen-Receptor-Positive Breast Cancer through FGF10 and MRPS30 Regulation
Maya Ghoussaini,Juliet D. French,Kyriaki Michailidou,Kyriaki Michailidou,Silje Nord,Jonathan Beesley,Sander Canisus,Kristine M. Hillman,Susanne Kaufmann,Haran Sivakumaran,Mahdi Moradi Marjaneh,Jason Sang Hun Lee,Joe Dennis,Manjeet K. Bolla,Qin Wang,Ed Dicks,Roger L. Milne,Roger L. Milne,John L. Hopper,Melissa C. Southey,Marjanka K. Schmidt,Annegien Broeks,Kenneth Muir,Kenneth Muir,Artitaya Lophatananon,Artitaya Lophatananon,Peter A. Fasching,Peter A. Fasching,Matthias W. Beckmann,Olivia Fletcher,Nichola Johnson,Elinor J. Sawyer,Ian Tomlinson,Barbara Burwinkel,Barbara Burwinkel,Frederik Marmé,Pascal Guénel,Thérèse Truong,Stig E. Bojesen,Henrik Flyger,Javier Benitez,Anna González-Neira,M. Rosario Alonso,Guillermo Pita,Susan L. Neuhausen,Hoda Anton-Culver,Hermann Brenner,Volker Arndt,Alfons Meindl,Rita K. Schmutzler,Hiltrud Brauch,Hiltrud Brauch,Hiltrud Brauch,Ute Hamann,Daniel C. Tessier,Daniel Vincent,Heli Nevanlinna,Sofia Khan,Keitaro Matsuo,Hidemi Ito,Thilo Dörk,Natalia Bogdanova,Annika Lindblom,Sara Margolin,Arto Mannermaa,Veli-Matti Kosma,Anna H. Wu,David Van Den Berg,Diether Lambrechts,Giuseppe Floris,Jenny Chang-Claude,Jenny Chang-Claude,Anja Rudolph,Paolo Radice,Monica Barile,Fergus J. Couch,Emily Hallberg,Graham G. Giles,Graham G. Giles,Christopher A. Haiman,Loic Le Marchand,Mark S. Goldberg,Soo Hwang Teo,Cheng Har Yip,Anne Lise Børresen-Dale,Wei Zheng,Qiuyin Cai,Robert Winqvist,Katri Pylkäs,Irene L. Andrulis,Peter Devilee,Rob A. E. M. Tollenaar,Montserrat Garcia-Closas,Jonine D. Figueroa,Per Hall,Kamila Czene,Judith S. Brand,Hatef Darabi,Mikael Eriksson,Maartje J. Hooning,Linetta B. Koppert,Jingmei Li,Xiao-Ou Shu,Ying Zheng,Angela Cox,Simon S. Cross,Mitul Shah,Valerie Rhenius,Ji Yeob Choi,Ji Yeob Choi,Daehee Kang,Daehee Kang,Mikael Hartman,Mikael Hartman,Kee Seng Chia,Maria Kabisch,Diana Torres,Diana Torres,Craig Luccarini,Don M. Conroy,Anna Jakubowska,Jan Lubinski,Suleeporn Sangrajrang,Paul Brennan,Curtis Olswold,Susan L. Slager,Chen-Yang Shen,Chen-Yang Shen,Ming-Feng Hou,Anthony J. Swerdlow,Minouk J. Schoemaker,Jacques Simard,Paul D.P. Pharoah,Vessela N. Kristensen,Georgia Chenevix-Trench,Douglas F. Easton,Alison M. Dunning,Stacey L. Edwards +137 more
TL;DR: The fine mapping of this locus using data from 104,660 subjects from 50 case-control studies in the Breast Cancer Association Consortium suggests that the strongest signal of association at 5p12 is mediated through coordinated activation of FGF10 and MRPS30, two candidate genes for breast cancer pathogenesis.
Journal ArticleDOI
Inconsistent association between the STK15 f31I genetic polymorphism and breast cancer risk
Olivia Fletcher,Nichola Johnson,Claire Palles,Isabel dos Santos Silva,Valerie McCormack,John C. Whittaker,Alan Ashworth,Julian Peto +7 more
TL;DR: A meta-analysis of this study and other published studies showed statistically significant heterogeneity in the odds ratio estimates, which could reflect either population-specific linkage disequilibrium with a functional variant or artifacts such as population stratification or publication bias.
Journal ArticleDOI
Association of a Common AKAP9 Variant With Breast Cancer Risk: A Collaborative Analysis
Bernd Frank,Miriam Wiestler,Silke Kropp,Kari Hemminki,Amanda B. Spurdle,Christian Sutter,Barbara Wappenschmidt,Xiaoqing Chen,Jonathan Beesley,John L. Hopper,Alfons Meindl,Marion Kiechle,Tracy Slanger,Peter Bugert,Rita K. Schmutzler,Claus R. Bartram,Dieter Flesch-Janys,Elke Mutschelknauss,Katie Ashton,Ramona Salazar,Emily L. Webb,Ute Hamann,Hiltrud Brauch,Christina Justenhoven,Yon-Dschun Ko,Thomas Brüning,Isabel dos Santos Silva,Nichola Johnson,Paul P.D. Pharoah,Alison M. Dunning,Karen A. Pooley,Jenny Chang-Claude,Douglas F. Easton,Julian Peto,Richard S. Houlston,Georgia Chenevix-Trench,Olivia Fletcher,Barbara Burwinkel +37 more
TL;DR: In this paper, the impact of AKAP variants on breast cancer risk was evaluated by genotyping six nonsynonymous single nucleotide polymorphisms that were predicted to be deleterious and found two (M463I, 1389G>T and N2792S, 8375A>G) to be associated with an allele dose-dependent increase in risk of familial breast cancer in a German population.
Journal ArticleDOI
Family History, Genetic Testing, and Clinical Risk Prediction: Pooled Analysis of CHEK2*1100delC in 1,828 Bilateral Breast Cancers and 7,030 Controls
Olivia Fletcher,Nichola Johnson,Isabel dos Santos Silva,Outi Kilpivaara,Kristiina Aittomäki,Carl Blomqvist,Heli Nevanlinna,Marijke Wasielewski,Hanne Meijers-Heijerboer,Annegien Broeks,Marjanka K. Schmidt,Laura J. van't Veer,Michael Bremer,Thilo Dörk,Elena V. Chekmariova,Anna P. Sokolenko,Evgeny N. Imyanitov,Ute Hamann,Muhammad Usman Rashid,Hiltrud Brauch,Christina Justenhoven,Alan Ashworth,Julian Peto +22 more
TL;DR: The results imply that clinical management of the daughter of a woman with bilateral breast cancer should depend on her CHEK2*1100delC carrier status, and other moderate penetrance breast cancer susceptibility alleles, together with family history data, will thus identify increasing numbers of women at potentially very high risk.