Associated Papers
Examining patient-specific responses to PARP inhibitors in a novel, human induced pluripotent stem cell-based model of breast cancer.
Weddle CJ et al.
Npj Precision Oncology, 2025
40000798 (PubMed )
Supplement: 41698_2025_837_MOESM3_ESM.xlsx › BC1
Functional annotation of sixty-five type-2 diabetes risk SNPs and its application in risk prediction.
Wu Y et al.
Scientific Reports, 2017
Three-dimensional modelling identifies novel genetic dependencies associated with breast cancer progression in the isogenic MCF10 model.
Maguire SL et al.
The Journal of Pathology, 2016
27512948 (PubMed )
Supplement: PATH-240-315-s015.xlsx › Table_S2
A common variant within the HNF1B gene is associated with overall survival of multiple myeloma patients: results from the IMMEnSE consortium and meta-analysis.
Ríos-Tamayo R et al.
Oncotarget, 2016
Type 2 diabetes-related variants influence the risk of developing multiple myeloma: results from the IMMEnSE consortium.
Ríos R et al.
Endocrine-related Cancer, 2015
Next generation exome sequencing of paediatric inflammatory bowel disease patients identifies rare and novel variants in candidate genes.
Christodoulou K et al.
Gut, 2013
22543157 (PubMed )
Supplement: gutjnl-2011-301833-s1.pdf
Association analysis of 31 common polymorphisms with type 2 diabetes and its related traits in Indian sib pairs.
Gupta V et al.
Diabetologia, 2012
Physiologic characterization of type 2 diabetes-related loci.
Grarup N et al.
Current Diabetes Reports, 2010
Obesity and diabetes genes are associated with being born small for gestational age: results from the Auckland Birthweight Collaborative study.
Morgan AR et al.
Bmc Medical Genetics, 2010
Gene variants in the novel type 2 diabetes loci CDC123/CAMK1D, THADA, ADAMTS9, BCL11A, and MTNR1B affect different aspects of pancreatic beta-cell function.
Simonis-Bik AM et al.
Diabetes, 2010
Genetics of diabetic nephropathy: are there clues to the understanding of common kidney diseases?
Conway BR et al.
Nephron. Clinical Practice, 2009
Clinical review: the genetics of type 2 diabetes: a realistic appraisal in 2008.
Florez JC
The Journal of Clinical Endocrinology and Metabolism, 2008
Novel meta-analysis-derived type 2 diabetes risk loci do not determine prediabetic phenotypes.
Staiger H et al.
Plos One, 2008
Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.
Zeggini E et al.
Nature Genetics, 2008
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