Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Evaluation of variation in the phosphoinositide-3-kinase catalytic subunit alpha oncogene and breast cancer risk.

K N Stevens | M Garcia-Closas | Z Fredericksen | M Kosel | V S Pankratz | J L Hopper | G S Dite | C Apicella | M C Southey | M K Schmidt | A Broeks | L J Van 't Veer | R A E M Tollenaar | P A Fasching | M W Beckmann | A Hein | A B Ekici | N Johnson | J Peto | I dos Santos Silva | L Gibson | E Sawyer | I Tomlinson | M J Kerin | S Chanock | J Lissowska | D J Hunter | R N Hoover | G D Thomas | R L Milne | J I Arias Pérez | A González-Neira | J Benítez | B Burwinkel | A Meindl | R K Schmutzler | C R Bartrar | U Hamann | Y D Ko | T Brüning | J Chang-Claude | R Hein | S Wang-Gohrke | T Dörk | P Schürmann | M Bremer | P Hillemanns | N Bogdanova | J V Zalutsky | Y I Rogov | N Antonenkova | A Lindblom | S Margolin | A Mannermaa | V Kataja | V-M Kosma | J Hartikainen | G Chenevix-Trench | X Chen | P Peterlongo | B Bonanni | L Bernard | S Manoukian | X Wang | J Cerhan | C M Vachon | J Olson | G G Giles | L Baglietto | C A McLean | G Severi | E M John | A Miron | R Winqvist | K Pylkäs | A Jukkola-Vuorinen | M Grip | I Andrulis | J A Knight | G Glendon | A M Mulligan | A Cox | I W Brock | G Elliott | S S Cross | P P Pharoah | A M Dunning | K A Pooley | M K Humphreys | J Wang | D Kang | K-Y Yoo | D-Y Noh | S Sangrajrang | V Gabrieau | P Brennan | J McKay | H Anton-Culver | A Ziogas | F J Couch | D F Easton | GENICA Network | kConFab Investigators | Australian Ovarian Cancer Study Group
British journal of cancer | 2011

Somatic mutations in phosphoinositide-3-kinase catalytic subunit alpha (PIK3CA) are frequent in breast tumours and have been associated with oestrogen receptor (ER) expression, human epidermal growth factor receptor-2 overexpression, lymph node metastasis and poor survival. The goal of this study was to evaluate the association between inherited variation in this oncogene and risk of breast cancer.

Pubmed ID: 22033276 RIS Download

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: NCI NIH HHS, United States
    Id: U01 CA069417
  • Agency: NCI NIH HHS, United States
    Id: U01 CA069638
  • Agency: NCI NIH HHS, United States
    Id: R25 CA092049
  • Agency: NCI NIH HHS, United States
    Id: U01 CA069467
  • Agency: NCI NIH HHS, United States
    Id: R01 CA058860
  • Agency: NCI NIH HHS, United States
    Id: K07 CA092044
  • Agency: Wellcome Trust, United Kingdom
    Id: 090532
  • Agency: NCI NIH HHS, United States
    Id: U01 CA058860
  • Agency: Cancer Research UK, United Kingdom
    Id: 10118
  • Agency: NCI NIH HHS, United States
    Id: R01 CA122340
  • Agency: Cancer Research UK, United Kingdom
    Id: 11022

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


International HapMap Project (tool)

RRID:SCR_002846

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 22, 2016. A multi-country collaboration among scientists and funding agencies to develop a public resource where genetic similarities and differences in human beings are identified and catalogued. Using this information, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. All of the information generated by the Project will be released into the public domain. Their goal is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. HapMap project related data, software, and documentation include: bulk data on genotypes, frequencies, LD data, phasing data, allocated SNPs, recombination rates and hotspots, SNP assays, Perlegen amplicons, raw data, inferred genotypes, and mitochondrial and chrY haplogroups; Generic Genome Browser software; protocols and information on assay design, genotyping and other protocols used in the project; and documentation of samples/individuals and the XML format used in the project.

View all literature mentions