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Results 101-110 of 110 (Search time: 0.007 seconds).
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PreviewIssue DateTitleAuthor(s)
2015Beyond height and weight: a programme of school nurse assessed skinfold measurements from white British and South Asian origin children aged 4-5 years within the Born in Bradford cohort studyWest, J.; Santorelli, G.; Lennon, L.; O'Connell, K.; Corkett, J.; Wright, J.; Brierley, S.; Whincup, P.; Cameron, N.; Lawlor, D.
2011The Active for Life Year 5 (AFLY5) school based cluster randomised controlled trial: study protocol for a randomized controlled trialLawlor, D.; Jago, R.; Noble, S.; Chittleborough, C.; Campbell, R.; Mytton, J.; Howe, L.; Peters, T.; Kipping, R.
2016Long-term effects of the Active for Life Year 5 (AFLY5) school-based cluster-randomised controlled trialAnderson, E.; Howe, L.; Kipping, R.; Campbell, R.; Jago, R.; Noble, S.; Wells, S.; Chittleborough, C.; Peters, T.; Lawlor, D.
2016Genome-wide association analysis identifies novel loci for chronotype in 100,420 individuals from the UK BiobankLane, J.; Vlasac, I.; Anderson, S.; Kyle, S.; Dixon, W.; Bechtold, D.; Gill, S.; Little, M.; Luik, A.; Loudon, A.; Emsley, R.; Scheer, F.; Lawlor, D.; Redline, S.; Ray, D.; Rutter, M.; Saxena, R.
2012Social inequalities in height: persisting differences today depend upon height of the parentsGalobardes, B.; McCormack, V.; McCarron, P.; Howe, L.; Lynch, J.; Lawlor, D.; Davey-Smith, G.; Munayco, C.V.
2016Nonlinear exposure-outcome associations and public health policyFraser, A.; Lawlor, D.; Howe, L.
2016Genome-wide association study identifies common and low-frequency variants at the AMH gene locus that strongly predict serum AMH levels in malesPerry, J.; McMahon, G.; Day, F.; Ring, S.; Nelson, S.; Lawlor, D.
2016Metabolic characterization of a rare genetic variation within APOC3 and its lipoprotein lipase-independent effectsDrenos, F.; Smith, G.; Ala-Korpela, M.; Kettunen, J.; Würtz, P.; Soininen, P.; Kangas, A.; Dale, C.; Lawlor, D.; Gaunt, T.; Casas, J.; Timpson, N.
2014Assessing risk prediction models using individual participant data from multiple studiesPennells, L.; Kaptoge, S.; White, I.; Thompson, S.; Wood, A.; Tipping, R.; Folsom, A.; Couper, D.; Ballantyne, C.; Coresh, J.; Goya Wannamethee, S.; Morris, R.; Kiechl, S.; Willeit, J.; Willeit, P.; Schett, G.; Ebrahim, S.; Lawlor, D.; Yarnell, J.; Gallacher, J.; et al.
2015Association between hyperglycaemia and adverse perinatal outcomes in south Asian and white British women: analysis of data from the Born in Bradford cohortFarrar, D.; Fairley, L.; Santorelli, G.; Tuffnell, D.; Sheldon, T.; Wright, J.; van Overveld, L.; Lawlor, D.

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