• 

  Patient experience of NHS health checks: a systematic review and qualitative synthesis 

  Usher-Smith, JA; Harte, E; MacLure, C; Martin, A; Saunders, CL; Meads, C; Walter, FMGriffin, SJMant, J et al. (BMJ Publishing Group, 2017-08-01)

  $\textbf{Objective:}$ To review the experiences of patients attending NHS Health Checks in England. $\textbf{Design:}$ A systematic review of quantitative and qualitative studies with a thematic synthesis of qualitative ...
• 

  Use of Repeated Blood Pressure and Cholesterol Measurements to Improve Cardiovascular Disease Risk Prediction: An Individual-Participant-Data Meta-Analysis 

  Paige, E; Barrett, J; Pennells, L; Sweeting, M; Willeit, P; Di Angelantonio, E; Gudnason, VNordestgaard, BGPsaty, BMGoldbourt, UBest, LGAssmann, GSalonen, JTNietert, PJVerschuren, WMBrunner, EJKronmal, RASalomaa, VBakker, SJDagenais, GRSato, SJansson, J-HWilleit, JOnat, Ade la Cámara, AGRoussel, RVölzke, HDankner, RTipping, RWMeade, TWDonfrancesco, CKuller, LHPeters, AGallacher, JKromhout, DIso, HKnuiman, MCasiglia, EKavousi, MPalmieri, LSundström, JDavis, BRNjølstad, ICouper, DDanesh, JThompson, SGWood, A et al. (Oxford University Press, 2017-08-04)

  The added value of incorporating information from repeated measurements of blood pressure and cholesterol for cardiovascular disease (CVD) risk prediction has not been rigorously assessed. We used data from the Emerging ...
• 

  Rare, protein-truncating variants in $\textit{ATM}$, $\textit{CHEK2}$ and $\textit{PALB2}$, but not $\textit{XRCC2}$, are associated with increased breast cancer risks 

  Decker, B; Allen, J; Luccarini, C; Pooley, KA; Shah, M; Bolla, MK; Wang, QAhmed, SBaynes, CConroy, DMBrown, JLuben, ROstrander, EAPharoah, PDDunning, AMEaston, DF et al.

  BACKGROUND: Breast cancer (BC) is the most common malignancy in women and has a major heritable component. The risks associated with most rare susceptibility variants are not well estimated. To better characterise the ...
• 

  Association analyses based on false discovery rate implicate new loci for coronary artery disease 

  Nelson, CP; Goel, A; Butterworth, AS; Kanoni, S; Webb, TR; Marouli, E; Zeng, LNtalla, ILai, FYHopewell, JCGiannakopoulou, OJiang, THamby, SEDi Angelantonio, EAssimes, TLBottinger, EPChambers, JCClarke, RPalmer, CNACubbon, RMEllinor, PErmel, REvangelou, EFranks, PWGrace, CGu, DHingorani, ADHowson, JMMIngelsson, EKastrati, AKessler, TKyriakou, TLehtimäki, TLu, XLu, YMärz, WMcPherson, RMetspalu, APujades-Rodriguez, MRuusalepp, ASchadt, EESchmidt, AFSweeting, MJZalloua, PAAlGhalayini, KKeavney, BDKooner, JSLoos, RJFPatel, RSRutter, MKTomaszewski, MTzoulaki, IZeggini, EErdmann, JDedoussis, GBjörkegren, JLMEPIC-CVD ConsortiumCARDIoGRAMplusC4DUK Biobank CardioMetabolic Consortium CHD working groupSchunkert, HFarrall, MDanesh, JSamani, NJWatkins, HDeloukas, P et al.

  Genome-wide association studies (GWAS) in coronary artery disease (CAD) had identified 66 loci at 'genome-wide significance' (P < 5 × 10(-8)) at the time of this analysis, but a much larger number of putative loci at a ...

View more