Up For A Challenge (U4C): Stimulating innovation in breast cancer genetic epidemiology

@article{Mechanic2017UpFA,
  title={Up For A Challenge (U4C): Stimulating innovation in breast cancer genetic epidemiology},
  author={Leah E. Mechanic and Sara Lindstr{\"o}m and Kenneth Daily and Solveig K. Sieberts and Christopher I. Amos and Huann-Sheng Chen and Nancy J. Cox and Marina Dathe and Eric J. Feuer and Michael J. Guertin and Joshua D Hoffman and Yunxian Liu and Jason H. Moore and Chad L. Myers and Marylyn DeRiggi Ritchie and Joellen M Schildkraut and Fredrick R. Schumacher and John S. Witte and Wen Wang and Scott M. Williams and Elizabeth Gillanders},
  journal={PLoS Genetics},
  year={2017},
  volume={13}
}
Up For A Challenge (U4C): Stimulating innovation in breast cancer genetic epidemiology Leah E. Mechanic1☯*, Sara Lindström2☯, Kenneth M. Daily, Solveig K. Sieberts, Christopher I. Amos, Huann-Sheng Chen, Nancy J. Cox, Marina Dathe, Eric J. Feuer, Michael J. Guertin, Joshua Hoffman, Yunxian Liu, Jason H. Moore, Chad L. Myers, Marylyn D. Ritchie, Joellen Schildkraut, Fredrick Schumacher, John S. Witte, Wen Wang, Scott M. Williams, U4C Challenge Participants, U4C Challenge Data Contributors… 
3 Citations

Figures and Tables from this paper

Complex polymorphisms in endocytosis genes suggest alpha-cyclodextrin against metastases in breast cancer
TLDR
This study reanalyzed existing data from three genome-wide association studies (GWAS) using a novel computational biostatistics approach (muGWAS), which had been validated in studies of 600-2000 subjects in epilepsy and autism, and suggested scavenging phospholipids via alpha-cyclo-dextrin (αCD) as a novel intervention to control packaging of exosomes.
Correction: Complex polymorphisms in endocytosis genes suggest alpha-cyclodextrin as a treatment for breast cancer
TLDR
This research presents a novel probabilistic procedure that allows for direct measurement of the response of the immune system to earthquake-triggered landsliding.
Complex polymorphisms in endocytosis genes suggest alpha-cyclodextrin as a treatment for breast cancer
TLDR
In-vitro study presented here confirms hydroxypropyl (HP)-αCD to be twice as effective as HPβCD against migration of human cells of both receptor negative and estrogen-receptor positive breast cancer, and suggests scavenging phospholipids as a novel intervention to control local spread of cancer.

References

SHOWING 1-10 OF 30 REFERENCES
Genome-wide association study of breast cancer in Latinas identifies novel protective variants on 6 q 25
TLDR
Laura Fejerman1, Nasim Ahmadiyeh2, Donglei Hu1, Scott Huntsman1, Kenneth B. Beckman3, Jennifer L. Caswell1, Karen Tsung2, Esther M. Perez-Stable1 & Elad Ziv1.
A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6 q 14 and 20 q 11
Robert C. Millikan12, Kyriaki Michailidou13, Daniel O. Stram6, Lars Beckmann15, Suhn Kyong Rhie6, Christine B. Ambrosone16, Kristiina Aittomäki17, Pilar Amiano20, Carmel Apicella21, Australian Breast
Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk
TLDR
A transcriptome-based approach was used to investigate the genetic underpinnings of breast carcinogenesis and found 23 nominally associated with breast cancer risk, among which 15 are not in high linkage disequilibrium with risk variants previously identified by GWAS.
Genome-wide association study of breast cancer in Latinas identifies novel protective variants on 6q25
TLDR
The results highlight the importance of conducting research in diverse populations and identify a genome-wide significant risk variant, located 5′ of the Estrogen Receptor 1 gene (ESR1; 6q25 region), located within several transcription factor-binding sites and electrophoretic mobility shift assays with MCF-7 nuclear protein demonstrate differential binding of the G/A alleles at this locus.
A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11.
TLDR
The largest meta-analysis of ER-negative disease to date, comprising 4754 ER- negative cases and 31 663 controls from three GWAS, identified two novel loci for breast cancer at 20q11 and 6q14 and confirmed three known loci associated with ER- Negative, triple negative and ER-positive breast cancer.
Pathway-based discovery of genetic interactions in breast cancer
TLDR
BridGE applied to six independent breast cancer cohorts and identified significant pathway-level interactions in five cohorts that implicated the glutathione conjugation, vitamin D receptor, purine metabolism, mitotic prometaphase, and steroid hormone biosynthesis pathways as major modifiers of breast cancer risk.
The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers
TLDR
Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures.
Trans-ethnic predicted expression genome-wide association analysis identifies a gene for estrogen receptor-negative breast cancer
TLDR
This study utilized a gene-level expression-based method, implemented in the MetaXcan software, to predict gene expression levels for 11,536 genes using expression quantitative trait loci and examine the genetically-predicted expression of specific genes for association with overall breast cancer risk and estrogen receptor (ER)-negative breast cancerrisk.
Genome-wide association studies in women of African ancestry identified 3q26.21 as a novel susceptibility locus for oestrogen receptor negative breast cancer.
TLDR
Findings demonstrated additional susceptibility alleles for breast cancer can be revealed in diverse populations and have important public health implications in building race/ethnicity-specific risk prediction model for Breast cancer.
Genome-wide association study in East Asians identifies two novel breast cancer susceptibility loci.
TLDR
Functional annotation using the ENCODE data indicates that rs12118297 might be located in a repressed element and locus 21q22.12 may affect breast cancer risk through regulating LINC00160 expressions and interaction with oestrogen receptor signalling.
...
...