• 

  Palliative care in humanitarian crises: always something to offer 

  Powell, RA; Schwartz, L; Nouvet, E; Sutton, B; Petrova, M; Marston, J; Munday, DRadbruch, L et al. (Elsevier, 2017-04-15)

  More than 128·6 million people across 33 countries require life-saving humanitarian assistance, 92·8 million of whom are particularly vulnerable. Palliative care, however, has been omitted from efforts to tackle humanitarian ...
• 

  Bromodomain protein 4 discriminates tissue-specific super-enhancers containing disease-specific susceptibility loci in prostate and breast cancer 

  Zuber, V; Bettella, F; Witoelar, A; Andreassen, OA; Mills, IG; Urbanucci, A; Eeles, REaston, DKote-Jarai, ZAl Olama, AABenlloch, SMuir, KGiles, GGWiklund, FGronberg, HHaiman, CASchleutker, JWeischer, MTravis, RCNeal, DPharoah, PKhaw, KTStanford, JLBlot, WJThibodeau, SMaier, CKibel, ASCybulski, CCannon-Albright, LBrenner, HPark, JKaneva, RBatra, JTeixeira, MRPandha, HChenevix-Trench, GHumphreys, MHung, RJHan, YBrennan, PBickeböller, HRosenberger, AHoulston, RSCaporaso, NLandi, MTHeinrich, JRisch, AWu, XYe, YChristiani, DCAmos, CIEaston, DFMichailidou, KBolla, MKWang, QBerchuck, AAntoniou, AMcGuffog, LCouch, FOffit, KDennis, JDunning, AMLee, ADicks, ELuccarini, CBenitez, JGonzalez-Neira, ASimard, JTessier, DCBacot, FVincent, DLaBoissière, S et al. (BioMed Central, 2017-03-31)

  $\textbf{Background:}$ Epigenetic information can be used to identify clinically relevant genomic variants single nucleotide polymorphisms (SNPs) of functional importance in cancer development. Super-enhancers are cell-specific ...
• 

  Body Mass Index and Breast Cancer Survival: A Mendelian Randomisation Analysis 

  Guo, Q; et al

  $\textbf{Background:}$ There is increasing evidence that elevated body mass index (BMI) is associated with reduced survival for women with breast cancer. However, the underlying reasons remain unclear. We conducted a ...
• 

  Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps. 

  Iotchkova, V; Huang, J; Morris, JA; Jain, D; Barbieri, C; Walter, K; Min, JLChen, LAstle, WCocca, MDeelen, PElding, HFarmaki, A-EFranklin, CSFranberg, MGaunt, TRHofman, AJiang, TKleber, MELachance, GLuan, JMalerba, GMatchan, AMead, DMemari, YNtalla, IPanoutsopoulou, KPazoki, RPerry, JRBRivadeneira, FSabater-Lleal, MSennblad, BShin, S-YSoutham, LTraglia, Mvan Dijk, Fvan Leeuwen, EMZaza, GZhang, WUK10K ConsortiumAmin, NButterworth, AChambers, JCDedoussis, GDehghan, AFranco, OHFranke, LFrontini, MGambaro, GGasparini, PHamsten, AIssacs, AKooner, JSKooperberg, CLangenberg, CMarz, WScott, RASwertz, MAToniolo, DUitterlinden, AGvan Duijn, CMWatkins, HZeggini, EMaurano, MTTimpson, NJReiner, APAuer, PLSoranzo, N et al. (Nature Publishing Group, 2016-11)

  Large-scale whole-genome sequence data sets offer novel opportunities to identify genetic variation underlying human traits. Here we apply genotype imputation based on whole-genome sequence data from the UK10K and 1000 ...

View more