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Plos One|July 14, 2012
The CUPID (Cultural and Psychosocial Influences on Disability) study: methods of data collection and characteristics of study sampleDavid Coggon, Georgia Ntani, Keith T Palmer, et al.Spine|November 8, 2016
Epidemiological Differences Between Localized and Nonlocalized Low Back PainDavid Coggon, Georgia Ntani, Karen Walker-Bone, et al.Pain|May 22, 2013
Disabling musculoskeletal pain in working populations: is it the job, the person, or the culture?David Coggon, Georgia Ntani, Keith T Palmer, et al.Pain|June 4, 2013
Patterns of multisite pain and associations with risk factorsDavid Coggon, Georgia Ntani, Keith T Palmer, et al.The Journal of Allergy and Clinical Immunology|February 18, 2014
Preterm birth, infant weight gain, and childhood asthma risk: a meta-analysis of 147,000 European childrenAgnes M M Sonnenschein-van der Voort, Lidia R Arends, Johan C de Jongste, et al.Plos One|April 30, 2016
Descriptive Epidemiology of Somatising Tendency: Findings from the CUPID StudySergio Vargas-Prada, David Coggon, Georgia Ntani, et al.Pain|January 14, 2016
Classification of neck/shoulder pain in epidemiological research: a comparison of personal and occupational characteristics, disability, and prognosis among 12,195 workers from 18 countriesLeila M M Sarquis, David Coggon, Georgia Ntani, et al.Nature Communications|March 13, 2014
Genome-wide association study reveals two new risk loci for bipolar disorderThomas W Mühleisen, Markus Leber, Thomas G Schulze, et al.The Lancet. Respiratory Medicine|March 3, 2018
DNA methylation in childhood asthma: an epigenome-wide meta-analysisCheng-Jian Xu, Cilla Söderhäll, Mariona Bustamante, et al.Journal of Affective Disorders|December 4, 2017
Gene set enrichment analysis and expression pattern exploration implicate an involvement of neurodevelopmental processes in bipolar disorderThomas W Mühleisen, Céline S Reinbold, Andreas J Forstner, et al.Pageof 75