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1. Quantitative cone contrast threshold testing in patients with differing pathophysiological mechanisms causing retinal diseases

Author: Crow Wr, Frambach C, Chantal J. Boisvert, Browne Aw, Clara Yuh, Kayla White, Livnat I, Kenney Mc, John Doan, Anton M. Palma, Jameson Ka, Mehta Mc, and Mehta Uv
Subjects: medicine.medical_specialty, Retinal Vein, Visual acuity, genetic structures, business.industry, media_common.quotation_subject, Multiple sclerosis, Retinal, Macular degeneration, medicine.disease, eye diseases, chemistry.chemical_compound, chemistry, Ophthalmology, medicine, Contrast (vision), Optic neuritis, sense organs, Epiretinal membrane, medicine.symptom, business, media_common
Abstract: PurposeCone contrast threshold testing (CCT) provides quantitative measurements of color and contrast function to reveal changes in vision quality that is not a standard endpoint in clinical trials. We utilize CCT to measure visual function in patients with multiple sclerosis (MS), age-related macular degeneration (AMD), epiretinal membrane (ERM), and retinal vein occlusion (RVO).MethodsRetrospective data was gathered from 268 patients of the Gavin Herbert Eye Institute. Subjects included 17 patients with MS, 45 patients with AMD, 41 patients with ERM, 11 patients with RVO, and 123 age and visual acuity-matched healthy controls. Patients underwent the primary measurement outcome, CCT testing, as well as Sloan visual acuity test and spectral domain optical coherence tomography during normal care.ResultsColor and contrast deficits were present in MS patients regardless of history of optic neuritis. AMD with intermediate or worse disease demonstrated reduced CCT scores. All 3 stages of ERM demonstrated cone contrast deficits. Despite restoration of visual acuity, RVO-affected eyes demonstrated poorer CCT performance than unaffected fellow eyes.ConclusionsCCT demonstrates color and contrast deficits for multiple retinal diseases with differing pathophysiology. Further prospective studies of CCT in other disease states and with larger samples sizes is warranted.Brief Summary StatementIn a retrospective analysis of 268 adults, cone contrast threshold testing (CCT) demonstrates patterns of visual function deficits in multiple sclerosis and age-related macular degeneration and similar declines in epiretinal membranes and retinal vein occlusion beyond standard visual acuity. Across all disease states, color and contrast vision were negatively impacted.
Published: 2020
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2. Diabetes in the Desert: What Do Patients Know about the Heat?.

Author: Nassar, AA, primary, Childs, RD, additional, Boyle, ME, additional, Jameson, KA, additional, Fowke, M, additional, Hovan, MJ, additional, and Cook, CB, additional
Published: 2010
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3. PREVALENCE OF SARCOPENIA IN COMMUNITY DWELLING OLDER PEOPLE IN THE UK: FINDINGS FROM THE HERTFORDSHIRE COHORT STUDY

Author: Patel, HP, Syddall, HE, Jameson, KA, Cooper, C, and Sayer, AA
Published: 2016

4. Diet and its relationship with grip strength in community-dwelling older men and women: the Hertfordshire cohort study

Author: Robinson, SM, Jameson, KA, Batelaan, SF, Martin, HJ, Syddall, HE, Dennison, EM, Cooper, C, and Sayer, AA
Abstract: OBJECTIVES: To examine relationships between diet and grip strength in older men and women and to determine whether prenatal growth modifies these relationships. DESIGN: Cross-sectional and retrospective cohort study. SETTING: Hertfordshire, United Kingdom. PARTICIPANTS: Two thousand nine hundred eighty-three men and women aged 59 to 73 who were born and still living in Hertfordshire, United Kingdom. MEASUREMENTS: Weight at birth recorded in Health Visitor ledgers; current food and nutrient intake assessed using an administered food frequency questionnaire; and grip strength measured using a handheld dynamometer. RESULTS: Grip strength was positively associated with height and weight at birth and inversely related to age (all P
Published: 2016

5. SELF-REPORTED AND CLINICAL HAND OSTEOARTHRITIS ARE ASSOCIATED WITH LOW GRIP STRENGTH INDEPENDENT OF PAIN ACROSS SIX COUNTRIES: THE EUROPEAN PROJECT ON OSTEOARTHRITIS

Author: Edwards, MH, Jameson, KA, Cushnaghan, J, Sayer, AA, Deeg, D, Cooper, C, and Dennison, E
Published: 2016

6. Osteoporosis is associated with greater deterioration in SF36 scores among men but not women: The Hertfordshire Cohort Study

Author: Dennison, EM, Jameson, KA, AihieSayer, A, Martin, HJ, and Cooper, C
Published: 2016

7. RELATIONSHIPS BETWEEN BONE SIZE, DENSITY AND FRACTURE: THE HERTFORDSHIRE COHORT STUDY

Author: Dennison, EM, Jameson, KA, Javaid, K, Denison, H, Sayer, AA, and Cooper, C
Published: 2016

8. MUSCLE SIZE, STRENGTH AND PHYSICAL PERFORMANCE AS PREDICTORS OF FALLS AND FRACTURES IN THE HERTFORDSHIRE COHORT STUDY

Author: Edwards, MH, Jameson, KA, Gregson, CL, Harvey, N, Sayer, AA, Dennison, E, and Cooper, C
Published: 2016

9. Genetic sharing with cardiovascular disease risk factors and diabetes reveals novel bone mineral density loci

Author: Reppe, S, Wang, Y, Thompson, WK, McEvoy, LK, Schork, AJ, Zuber, V, LeBlanc, M, Bettella, F, Mills, IG, Desikan, RS, Djurovic, S, Gautvik, KM, Dale, AM, Andreassen, OA, Estrada, K, Styrkarsdottir, U, Evangelou, E, Hsu, YH, Duncan, EL, Ntzani, EE, Oei, L, Albagha, OME, Amin, N, Kemp, JP, Koller, DL, Li, G, Liu, CT, Minster, RL, Moayyeri, A, Vandenput, L, Willner, D, Xiao, SM, Yerges-Armstrong, LM, Zheng, HF, Alonso, N, Eriksson, J, Kammerer, CM, Kaptoge, SK, Leo, PJ, Thorleifsson, G, Wilson, SG, Wilson, JF, Aalto, V, Alen, M, Aragaki, AK, Aspelund, T, Center, JR, Dailiana, Z, Duggan, DJ, Garcia, M, Garcia-Giralt, N, Giroux, S, Hallmans, G, Hocking, LJ, Husted, LB, Jameson, KA, Khusainova, R, Kim, GS, Kooperberg, C, Koromila, T, Kruk, M, Laaksonen, M, and Lacroix, AZ
Subjects: musculoskeletal diseases, General Science & Technology, MD Multidisciplinary
Abstract: © 2015 Reppe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Bone Mineral Density (BMD) is a highly heritable trait, but genome-wide association studies have identified few genetic risk factors. Epidemiological studies suggest associations between BMD and several traits and diseases, but the nature of the suggestive comorbidity is still unknown. We used a novel genetic pleiotropy-informed conditional False Discovery Rate (FDR) method to identify single nucleotide polymorphisms (SNPs) associated with BMD by leveraging cardiovascular disease (CVD) associated disorders and metabolic traits. By conditioning on SNPs associated with the CVD-related phenotypes, type 1 diabetes, type 2 diabetes, systolic blood pressure, diastolic blood pressure, high density lipoprotein, low density lipoprotein, triglycerides and waist hip ratio, we identified 65 novel independent BMD loci (26 with femoral neck BMD and 47 with lumbar spine BMD) at conditional FDR < 0.01. Many of the loci were confirmed in genetic expression studies. Genes validated at the mRNA levels were characteristic for the osteoblast/osteocyte lineage, Wnt signaling pathway and bone metabolism. The results provide new insight into genetic mechanisms of variability in BMD, and a better understanding of the genetic underpinnings of clinical comorbidity.
Published: 2015
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10. Graphene electronic tattoos 2.0 with enhanced performance, breathability and robustness

Author: Dmitry Kireev, Jameson Kampfe, Alena Hall, and Deji Akinwande
Subjects: Materials of engineering and construction. Mechanics of materials, TA401-492, Chemistry, QD1-999
Abstract: Abstract Graphene electronic tattoos (GETs) have recently emerged as unique tools for personalized healthcare. The monolayer GETs have been used to monitor human electrophysiological signals, including brain, heart, and muscle activities, skin temperature, and hydration level. However, a few drawbacks of the earlier GETs hindered their perception by clinical and biomedical experts: they were not permeable to sweat, and the tattoo performance varied greatly. In this work, we introduce GETs 2.0: the skin wearable tattoo sensors with superior electrical properties, permeability to sweat, and robustness. We report on the categorical analysis of the graphene tattoos of different layer constitutions. When stacking the graphene monolayers within a single tattoo, we see a drastic enhancement in their electronic properties. The older monolayer GETs were susceptive to minor growth- or transfer-related discrepancies, resulting in highly scattered electrical properties. In this work, the GETs 2.0 with the addition of graphene nanoscrolls (GNS) or multilayer (2 L and 3 L) graphene structures exhibit 3.5-fold decreased sheet resistance, 2.5-fold lower skin impedance, and 5-fold reduced standard deviations of these values. In addition, we introduced holes into the tattoo, enabling healthy sweat evaporation without a substantial decrease in electrical properties. Furthermore, we show that microholes allow for advanced biplanar contact with graphene tattoos. Finally, we show that multilayer GETs 2.0 can be used as efficient skin-wearable electronic heaters, exhibiting heating efficiency of ~6 mW/°C.
Published: 2022
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11. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes

Author: STRAWBRIDGE RJ, DUPUIS J, PROKOPENKO I, BARKER A, AHLQVIST E, RYBIN D, PETRIE JR, TRAVERS ME, BOUATIA-NAJI N, DIMAS AS, NICA A, WHEELER E, CHEN H, VOIGHT BF, TANEERA J, KANONI S, PEDEN JF, TURRINI F, GUSTAFSSON S, ZABENA C, ALMGREN P, BARKER DJ, BARNES D, DENNISON EM, ERIKSSON JG, ERIKSSON P, EURY E, FOLKERSEN L, FOX CS, FRAYLING TM, GOEL A, GU HF, HORIKOSHI M, ISOMAA B, JACKSON AU, JAMESON KA, KAJANTIE E, KERR-CONTE J, KUULASMAA T, KUUSISTO J, LOOS RJ, LUAN J, MAKRILAKIS K, MANNING AK, MARTÍNEZ-LARRAD MT, NARISU N, NASTASE MANNILA M, OHRVIK J, OSMOND C, PASCOE L, PAYNE F, SAYER AA, SENNBLAD B, SILVEIRA A, STANCÁKOVÁ A, STIRRUPS K, SWIFT AJ, SYVÄNEN AC, TUOMI T, VAN 'T HOOFT FM, WALKER M, WEEDON MN, XIE W, ZETHELIUS B, DIAGRAM CONSORTIUM, GIANT CONSORTIUM, MANUNTA P, MUTHER CONSORTIUM, CARDIOGRAM CONSORTIUM, C4D CONSORTIUM, ONGEN H, MÄLARSTIG A, HOPEWELL JC, SALEHEEN D, CHAMBERS J, PARISH S, DANESH J, KOONER J, OSTENSON CG, LIND L, COOPER CC, SERRANO-RÍOS M, FERRANNINI E, FORSEN TJ, CLARKE R, FRANZOSI MG, SEEDORF U, WATKINS H, FROGUEL P, JOHNSON P, DELOUKAS P, COLLINS FS, LAAKSO M, DERMITZAKIS ET, BOEHNKE M, MCCARTHY MI, WAREHAM NJ, GROOP L, PATTOU F, GLOYN AL, DEDOUSSIS GV, LYSSENKO V, MEIGS JB, BARROSO I, WATANABE RM, INGELSSON E, LANGENBERG C, HAMSTEN A, FLOREZ JC, Strawbridge, Rj, Dupuis, J, Prokopenko, I, Barker, A, Ahlqvist, E, Rybin, D, Petrie, Jr, Travers, Me, BOUATIA-NAJI, N, Dimas, A, Nica, A, Wheeler, E, Chen, H, Voight, Bf, Taneera, J, Kanoni, S, Peden, Jf, Turrini, F, Gustafsson, S, Zabena, C, Almgren, P, Barker, Dj, Barnes, D, Dennison, Em, Eriksson, Jg, Eriksson, P, Eury, E, Folkersen, L, Fox, C, Frayling, Tm, Goel, A, Gu, Hf, Horikoshi, M, Isomaa, B, Jackson, Au, Jameson, Ka, Kajantie, E, KERR-CONTE, J, Kuulasmaa, T, Kuusisto, J, Loos, Rj, Luan, J, Makrilakis, K, Manning, Ak, MARTÍNEZ-LARRAD, Mt, Narisu, N, NASTASE MANNILA, M, Ohrvik, J, Osmond, C, Pascoe, L, Payne, F, Sayer, Aa, Sennblad, B, Silveira, A, Stancáková, A, Stirrups, K, Swift, Aj, Syvänen, Ac, Tuomi, T, VAN 'T HOOFT, Fm, Walker, M, Weedon, Mn, Xie, W, Zethelius, B, Diagram, Consortium, Giant, Consortium, Manunta, P, Muther, Consortium, Cardiogram, Consortium, C4d, Consortium, Ongen, H, Mälarstig, A, Hopewell, Jc, Saleheen, D, Chambers, J, Parish, S, Danesh, J, Kooner, J, Ostenson, Cg, Lind, L, Cooper, Cc, SERRANO-RÍOS, M, Ferrannini, E, Forsen, Tj, Clarke, R, Franzosi, Mg, Seedorf, U, Watkins, H, Froguel, P, Johnson, P, Deloukas, P, Collins, F, Laakso, M, Dermitzakis, Et, Boehnke, M, Mccarthy, Mi, Wareham, Nj, Groop, L, Pattou, F, Gloyn, Al, Dedoussis, Gv, Lyssenko, V, Meigs, Jb, Barroso, I, Watanabe, Rm, Ingelsson, E, Langenberg, C, Hamsten, A, and Florez, Jc
Published: 2011

12. Early growth genetics C. New loci associated with birgh weight identify genetic links between intrauterine growth and adult height and metabolism

Author: Horikoshi, M, Yaghootkar, H, Mook, Dennis, Sovio, U, Taal, Rob, Hennig, BJ, Bradfield, JP, St Pourcain, B, Evans, DM, Charoen, P, Kaakinen, M, Cousminer, DL, Lehtimaki, T, Kreiner-Moller, E, Warrington, NM, Bustamante, M, Feenstra, B, Berry, DJ, Thiering, E, Pfab, T, Barton, SJ, Shields, BM, Kerkhof, M, Leeuwen, Elisa, Fulford, AJ, Kutalik, Z, Zhao, JH, den Hoed, M, Mahajan, A, Lindi, V, Goh, LK, Hottenga, JJ (Jouke Jan), Wu, Fenny, Raitakari, OT, Harder, M, Meirhaeghe, A, Ntalla, I, Salem, RM, Jameson, KA, Zhou, K, Monies, D, Lagou, V, Kirin, M, Heikkinen, J, Adair, LS, Alkuraya, FS, Al-Odaib, A, Amouyel, P, Andersson, EAS, Bennett, AJ, Blakemore, AIF, Buxton, JL, Dallongeville, J, Das, Suman, de Geus, EJC, Estivill, X, Flexeder, C, Froguel, P, Geller, F, Godfrey, KM, Gottrand, F, Groves, CJ, Hansen, T, Hirschhorn, JN, Hofman, Bert, Hollegaard, MV, Hougaard, DM, Hypponen, E, Inskip, H, Isaacs, Aaron, Jorgensen, T, Kanaka-Gentenbein, C, Kemp, JP, Kiess, W, Kipelainen, TO, Klopp, N, Knight, BA, Kuzawa, CW, McMahon, G, Newnham, JP, Niinikoski, H, Oostra, Ben, Pedersen, L, Postma, DS, Ring, SM, Rivadeneira, Fernando, Robertson, NR, Sebert, S, Simell, O, Slowinski, T, Tiesler, CMT, Tonjes, A, Vaag, A, Viikari, JS, Vink, JM, Vissing, NH, Wareham, NJ, Willemsen, G, Witte, DR, Zhang, H, Zhao, J, Wilson, JF, Stumvoll, M, Prentice, AM, Meyer, BF, Pearson, ER, Boreham, CA, Cooper, C, Gilman, MW, Dedoussis, GV, Moreno, LA, Pedersen, O, Saarinen, M, Mohlke, KL, Boomsma, DI, Saw, SM, Lakka, TA, Korner, A, Loos, RJ, Ong, KK, Vollenweider, P, Duijn, Cornelia, Koppelman, GH, Hattersley, AT, Holloway, JW, Hocher, B, Heinrich, J, Power, C, Melbye, M, Guxens Junyent, Monica, Pennell, CE, Bonnelykke, K, Bisgaard, H, Eriksson, JG, Widen, E, Hakonarson, H, Uitterlinden, André, Pouta, A, Lawlor, DA, Smith, GD, Frayling, TM, McCarthy, M, Grant, SFA, Jaddoe, Vincent, Jarvelin, MR, Timpson, NJ, Prokopenko, I, Freathy, RM, Erasmus MC other, Epidemiology, Medical Microbiology & Infectious Diseases, Clinical Genetics, Internal Medicine, and Hematology
Published: 2013

13. Genome-wide association study meta-analysis of chronic widespread pain: evidence for involvement of the 5p15.2 region

Author: Peters, Marjolein, Broer, Linda, Willemen, HLDM, Eiriksdottir, G, Hocking, LJ, Holliday, KL, Horan, MA, Meulenbelt, I, Neogi, T, Popham, M, Schmidt, CO, Soni, A, Valdes, AM, Amin, Najaf, Dennison, EM, Eijkelkamp, N, Harris, TB, Hart, DJ, Hofman, Bert, Huygen, Frank, Jameson, KA, Jones, GT, Launer, LJ (Lenore), Kerkhof, HJM, Kruijf, Marjolein, McBeth, J, Kloppenburg, M, Ollier, WE, Oostra, Ben, Payton, A, Rivadeneira, Fernando, Smith, BH, Smith, AV, Stolk, Lisette, Teumer, A, Thomson, W, Uitterlinden, André, Wang, K, Wingerden, Sophie, Arden, NK, Cooper, C, Felson, D, Gudnason, V, Macfarlane, GJ, Pendleton, N, Slagboom, PE (Eline), Spector, TD, Volzke, H, Kavelaars, A, Duijn, Cornelia, Williams, FMK, van Meurs, Joyce, Internal Medicine, Epidemiology, Anesthesiology, and Clinical Genetics
Subjects: Genotype, Epidemiology, Fibromyalgis/Pain Syndromes, Polymorphism, Single Nucleotide, Disease Models, Animal, Mice, Gene Polymorphism, Animals, Chromosomes, Human, Pair 5, Humans, Female, Genetic Predisposition to Disease, Chronic Pain, Basic and Translational Research, Genome-Wide Association Study
Abstract: BACKGROUND AND OBJECTIVES: Chronic widespread pain (CWP) is a common disorder affecting ∼10% of the general population and has an estimated heritability of 48-52%. In the first large-scale genome-wide association study (GWAS) meta-analysis, we aimed to identify common genetic variants associated with CWP. METHODS: We conducted a GWAS meta-analysis in 1308 female CWP cases and 5791 controls of European descent, and replicated the effects of the genetic variants with suggestive evidence for association in 1480 CWP cases and 7989 controls. Subsequently, we studied gene expression levels of the nearest genes in two chronic inflammatory pain mouse models, and examined 92 genetic variants previously described associated with pain. RESULTS: The minor C-allele of rs13361160 on chromosome 5p15.2, located upstream of chaperonin-containing-TCP1-complex-5 gene (CCT5) and downstream of FAM173B, was found to be associated with a 30% higher risk of CWP (minor allele frequency=43%; OR=1.30, 95% CI 1.19 to 1.42, p=1.2×10(-8)). Combined with the replication, we observed a slightly attenuated OR of 1.17 (95% CI 1.10 to 1.24, p=4.7×10(-7)) with moderate heterogeneity (I2=28.4%). However, in a sensitivity analysis that only allowed studies with joint-specific pain, the combined association was genome-wide significant (OR=1.23, 95% CI 1.14 to 1.32, p=3.4×10(-8), I2=0%). Expression levels of Cct5 and Fam173b in mice with inflammatory pain were higher in the lumbar spinal cord, not in the lumbar dorsal root ganglions, compared to mice without pain. None of the 92 genetic variants previously described were significantly associated with pain (p>7.7×10(-4)). CONCLUSIONS: We identified a common genetic variant on chromosome 5p15.2 associated with joint-specific CWP in humans. This work suggests that CCT5 and FAM173B are promising targets in the regulation of pain.
Published: 2012

14. Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

Author: Estrada, K, Styrkarsdottir, U, Evangelou, E, Hsu, YH, Duncan, EL, Ntzani, EE, Oei, L, Albagha, OME, Amin, N, Kemp, JP, Koller, DL, Li, G, Liu, CT, Minster, RL, Moayyeri, A, Vandenput, L, Willner, D, Xiao, SM, Yerges-Armstrong, LM, Zheng, HF, Alonso, N, Eriksson, J, Kammerer, CM, Kaptoge, SK, Leo, PJ, Thorleifsson, G, Wilson, SG, Wilson, JF, Aalto, V, Alen, M, Aragaki, AK, Aspelund, T, Center, JR, Dailiana, Z, Duggan, DJ, Garcia, M, Garcia-Giralt, N, Giroux, S, Hallmans, G, Hocking, LJ, Husted, LB, Jameson, KA, Khusainova, R, Kim, GS, Kooperberg, C, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, AZ, Lee, SH, Leung, PC, Lewis, JR, Masi, L, Mencej-Bedrac, S, Nguyen, TV, Nogues, X, Patel, MS, Prezelj, J, Rose, LM, Scollen, S, Siggeirsdottir, K, Smith, AV, Svensson, O, Trompet, S, Trummer, O, Van Schoor, NM, Woo, J, Zhu, K, Balcells, S, Brandi, ML, Buckley, BM, Cheng, S, Christiansen, C, Cooper, C, Dedoussis, G, Ford, I, Frost, M, Goltzman, D, González-Macías, J, Kähönen, M, Karlsson, M, Khusnutdinova, E, Koh, JM, Kollia, P, Langdahl, BL, Leslie, WD, Lips, P, Ljunggren, Ø, Lorenc, RS, Marc, J, Mellström, D, Obermayer-Pietsch, B, Olmos, JM, Pettersson-Kymmer, U, Reid, DM, Riancho, JA, Ridker, PM, Rousseau, F, Lagboom, PES, and Tang, NLS
Subjects: musculoskeletal diseases, Male, Genotype, Quantitative Trait Loci, European Continental Ancestry Group, Mitochondrial Membrane Transport Proteins, Polymorphism, Single Nucleotide, Fractures, Bone, Risk Factors, Bone Density, Humans, Genetic Predisposition to Disease, Glycoproteins, Extracellular Matrix Proteins, Lumbar Vertebrae, Femur Neck, Gene Expression Profiling, Spectrin, Computational Biology, Phosphoproteins, Low Density Lipoprotein Receptor-Related Protein-5, Osteoporosis, Intercellular Signaling Peptides and Proteins, Female, Developmental Biology, Genome-Wide Association Study
Abstract: Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10 -8). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10 -4, Bonferroni corrected), of which six reached P < 5 × 10 -8, including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility. © 2012 Nature America, Inc. All rights reserved.
Published: 2012

15. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes

Author: Strawbridge, RJ, Dupuis, J, Prokopenko, I, Barker, A, Ahlqvist, E, Rybin, D, Petrie, JR, Travers, ME, Bouatia-Naji, N, Dimas, AS, Nica, A, Wheeler, E, Chen, H, Voight, BF, Taneera, J, Kanoni, S, Peden, JF, Turrini, F, Gustafsson, S, Zabena, C, Almgren, P, Barker, DJP, Barnes, D, Dennison, EM, Eriksson, JG, Eriksson, P, Eury, E, Folkersen, L, Fox, CS, Frayling, TM, Goel, A, Gu, HF, Horikoshi, M, Isomaa, B, Jackson, AU, Jameson, KA, Kajantie, E, Kerr-Conte, J, Kuulasmaa, T, Kuusisto, J, Loos, RJF, Luan, J, Makrilakis, K, Manning, AK, Martínez-Larrad, MT, Narisu, N, Mannila, MN, Öhrvik, J, Osmond, C, Pascoe, L, Payne, F, Sayer, AA, Sennblad, B, Silveira, A, Stančcáková, A, Stirrups, K, Swift, AJ, Syvänen, AC, and Tuomi, T
Subjects: endocrine system, endocrine system diseases, nutritional and metabolic diseases
Abstract: © 2011 by the American Diabetes Association. OBJECTIVE - Proinsulin is a precursor of mature insulin and C-peptide. Higher circulating proinsulin levels are associated with impaired b-cell function, raised glucose levels, insulin resistance, and type 2 diabetes (T2D). Studies of the insulin processing pathway could provide new insights about T2D pathophysiology. RESEARCH DESIGN AND METHODS - We have conducted a meta-analysis of genome-wide association tests of ;2.5 million genotyped or imputed single nucleotide polymorphisms (SNPs) and fasting proinsulin levels in 10,701 nondiabetic adults of European ancestry, with follow-up of 23 loci in up to 16,378 individuals, using additive genetic models adjusted for age, sex, fasting insulin, and study-specific covariates. RESULTS - Nine SNPs at eight loci were associated with proinsulin levels (P < 5 × 10-8). Two loci (LARP6 and SGSM2) have not been previously related to metabolic traits, one (MADD) has been associated with fasting glucose, one (PCSK1) has been implicated in obesity, and four (TCF7L2, SLC30A8, VPS13C/ C2CD4A/B, and ARAP1, formerly CENTD2) increase T2D risk. The proinsulin-raising allele of ARAP1 was associated with a lower fasting glucose (P = 1.7 3 10-4), improved b-cell function (P = 1.1 × 10-5), and lower risk of T2D (odds ratio 0.88; P = 7.8 × 10-6). Notably, PCSK1 encodes the protein prohormone convertase 1/3, the first enzyme in the insulin processing pathway. A genotype score composed of the nine proinsulin-raising alleles was not associated with coronary disease in two large case-control datasets. CONCLUSIONS - We have identified nine genetic variants associated with fasting proinsulin. Our findings illuminate the biology underlying glucose homeostasis and T2D development in humans and argue against a direct role of proinsulin in coronary artery disease pathogenesis.
Published: 2011
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16. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes

Author: Strawbridge RJ, Dupuis J, Prokopenko I, Barker A, Ahlqvist E, Rybin D, Petrie JR, Travers ME, Bouatia-Naji N, Dimas AS, Nica A, Wheeler E, Chen H, Voight BF, Taneera J, Kanoni S, Peden JF, Turrini F, Gustafsson S, Zabena C, Almgren P, Barker DJ, Barnes D, Dennison EM, Eriksson JG, Eriksson P, Eury E, Folkersen L, Fox CS, Frayling TM, Goel A, Gu HF, Horikoshi M, Isomaa B, Jackson AU, Jameson KA, Kajantie E, Kerr-Conte J, Kuulasmaa T, Kuusisto J, Loos RJ, Luan J, Makrilakis K, Manning AK, Martínez-Larrad MT, Narisu N, Nastase Mannila M, Ohrvik J, Osmond C, Pascoe L, Payne F, Sayer AA, Sennblad B, Silveira A, Stancáková A, Stirrups K, Swift AJ, Syvänen AC, Tuomi T, van 't Hooft FM, Walker M, Weedon MN, Xie W, Zethelius B, DIAGRAM Consortium, GIANT Consortium, Mulić, Rosanda, MuTHER Consortium, CARDIoGRAM Consortium, and C4D Consortium, Ongen H, Mälarstig A, Hopewell JC, Saleheen D, Chambers J, Parish S, Danesh J, Kooner J, Ostenson CG, Lind L, Cooper CC, Serrano-Ríos M, Ferrannini E, Forsen TJ, Clarke R, Franzosi MG, Seedorf U, Watkins H, Froguel P, Johnson P, Deloukas P, Collins FS, Laakso M, Dermitzakis ET, Boehnke M, McCarthy MI, Wareham NJ, Groop L, Pattou F, Gloyn AL, Dedoussis GV, Lyssenko V, Meigs JB, Barroso I, Watanabe RM, Ingelsson E, Langenberg C, Hamsten A, Florez JC.
Subjects: obesity, genetic variants, proinsulin, endocrine system, endocrine system diseases, nutritional and metabolic diseases
Abstract: OBJECTIVE:Proinsulin is a precursor of mature insulin and C-peptide. Higher circulating proinsulin levels are associated with impaired β-cell function, raised glucose levels, insulin resistance, and type 2 diabetes (T2D). Studies of the insulin processing pathway could provide new insights about T2D pathophysiology. RESEARCH DESIGN AND METHODS: We have conducted a meta-analysis of genome-wide association tests of ∼2.5 million genotyped or imputed single nucleotide polymorphisms (SNPs) and fasting proinsulin levels in 10, 701 nondiabetic adults of European ancestry, with follow-up of 23 loci in up to 16, 378 individuals, using additive genetic models adjusted for age, sex, fasting insulin, and study-specific covariates. RESULTS: Nine SNPs at eight loci were associated with proinsulin levels (P < 5 × 10(-8)). Two loci (LARP6 and SGSM2) have not been previously related to metabolic traits, one (MADD) has been associated with fasting glucose, one (PCSK1) has been implicated in obesity, and four (TCF7L2, SLC30A8, VPS13C/C2CD4A/B, and ARAP1, formerly CENTD2) increase T2D risk. The proinsulin-raising allele of ARAP1 was associated with a lower fasting glucose (P = 1.7 × 10(-4)), improved β-cell function (P = 1.1 × 10(-5)), and lower risk of T2D (odds ratio 0.88 ; P = 7.8 × 10(-6)). Notably, PCSK1 encodes the protein prohormone convertase 1/3, the first enzyme in the insulin processing pathway. A genotype score composed of the nine proinsulin-raising alleles was not associated with coronary disease in two large case-control datasets. CONCLUSIONS: We have identified nine genetic variants associated with fasting proinsulin. Our findings illuminate the biology underlying glucose homeostasis and T2D development in humans and argue against a direct role of proinsulin in coronary artery disease pathogenesis.
Published: 2011

17. New genetic loci link adipose and insulin biology to body fat distribution.

Author: ADIPOGen Consortium, CARDIOGRAMplusC4D Consortium, CKDGen Consortium, GEFOS Consortium, GENIE Consortium, International Endogene Consortium, LifeLines Cohort Study, MAGIC Investigators, MuTHER Consortium, PAGE Consortium, ReproGen Consortium, GLGC, ICBP, Dastani, Z., Hivert, MF., Timpson, N., Perry, JR., Yuan, X., Scott, RA., Henneman, P., Heid, IM., Kizer, JR., Lyytikainen, LP., Fuchsberger, C., Tanaka, T., Morris, AP., Small, K., Isaacs, A., Beekman, M., Coassin, S., Lohman, K., Qi, L., Kanoni, S., Pankow, JS., Uh, HW., Wu, Y., Bidulescu, A., Rasmussen-Torvik, LJ., Greenwood, CM., Ladouceur, M., Grimsby, J., Manning, AK., Liu, CT., Kooner, J., Mooser, VE., Vollenweider, P., Kapur, KA., Chambers, J., Wareham, NJ., Langenberg, C., Frants, R., Willemsvan-vanDijk, K., Oostra, BA., Willems, SM., Lamina, C., Winkler, T., Psaty, BM., Tracy, RP., Brody, J., Chen, I., Viikari, J., Kähönen, M., Pramstaller, PP., Evans, DM., St Pourcain, B., Sattar, N., Wood, A., Bandinelli, S., Carlson, OD., Egan, JM., Böhringer, S., van Heemst, D., Kedenko, L., Kristiansson, K., Nuotio, ML., Loo, BM., Harris, T., Garcia, M., Kanaya, A., Haun, M., Klopp, N., Wichmann, HE., Deloukas, P., Katsareli, E., Couper, DJ., Duncan, BB., Kloppenburg, M., Adair, LS., Borja, JB., Wilson, JG., Musani, S., Guo, X., Johnson, T., Semple, R., Teslovich, TM., Allison, MA., Redline, S., Buxbaum, SG., Mohlke, KL., Meulenbelt, I., Ballantyne, CM., Dedoussis, GV., Hu, FB., Liu, Y., Paulweber, B., Spector, TD., Slagboom, P., Ferrucci, L., Jula, A., Perola, M., Raitakari, O., Florez, JC., Salomaa, V., Eriksson, JG., Frayling, TM., Hicks, AA., Lehtimäki, T., Smith, GD., Siscovick, DS., Kronenberg, F., van Duijn, C., Loos, RJ., Waterworth, DM., Meigs, JB., Dupuis, J., Richards, JB., Willenborg, C., Farrall, M., Assimes, TL., Thompson, JR., Ingelsson, E., Saleheen, D., Erdmann, J., Goldstein, BA., Stirrups, K., König, IR., Cazier, JB., Johansson£££Åsa£££ Å., Hall, AS., Lee, JY., Willer, CJ., 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Karpe, F., Kiryluk, K., Liang, L., Lifton, R.P., Ma, B., McKnight, A.J., McPherson, R., Min, J.L., Moffatt, M.F., Montgomery, G.W., Murabito, J.M., Nicholson, G., Nyholt, D.R., Olsson, C., Perry, J.R., Reinmaa, E., Salem, R.M., Schadt, E.E., Scott, R.A., Vallejo, E.E., Westra, H.J., Zondervan, K.T., Bakker, S.J., Beilby, J., Bergman, R.N., Blangero, J., Brown, M.J., Chines, P.S., Collins, F.S., Crawford, D.C., de Geus, E.J., Erbel, R., Eriksson, J.G., Ferrannini, E., Forouhi, N.G., Franco, O.H., Gansevoort, R.T., Haiman, C.A., Harris, T.B., Hattersley, A.T., Heliövaara, M., Hicks, A.A., Hingorani, A.D., Hoffmann, W., Humphries, S.E., Jarvelin, M.R., Johansen, B., Jousilahti, P., Jula, A.M., Keinanen-Kiukaanniemi, S.M., Kooner, J.S., Kraja, A.T., Lakka, T.A., Le Marchand, L., Lyssenko, V., Männistö, S., Marette, A., Matise, T.C., McKenzie, C.A., Musk, A.W., Möhlenkamp, S., Morris, A.D., Oldehinkel, A.J., Ong, K.K., Palmer, L.J., Penninx, B.W., Pramstaller, P.P., Raitakari, O.T., 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K.L.
Abstract: Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.
Published: 2015

18. New genetic loci link adipose and insulin biology to body fat distribution

Author: Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, 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Jr, Mosley TH, Seshadri S, Shrine NR, Wain LV, Morken MA, Laitinen J, Zitting P, Cooper JA, van Gilst WH, Janipalli CS, Mani K, Yajnik CS, Mattace Raso FU, Lakatta EG, Orru M, Scuteri A, Ala Korpela M, Kangas AJ, Soininen P, Tukiainen T, Würtz P, Ong RT, Dörr M, Galan P, Hercberg S, Lathrop M, Zelenika D, Zhai G, Meschia JF, Nalls MA, Sharma P, Terzic J, Kumar M, Denniff M, Zukowska Szczechowska E, Wagenknecht LE, Fowkes F, Charchar FJ, Rotimi C, Bots ML, Brand E, Talmud PJ, Nyberg F, Laan M, Palmer LJ, van der Schouw YT, Casas JP, Vineis P, Ganesh SK, Wong TY, Tai ES, Rao DC, Morris RW, Dominiczak AF, Marmot MG, Miki T, Chandak GR, Zhu X, Gyllensten UB, Elosua R, Soranzo N, Sijbrands EJ, Uda M, Vasan RS, Larson MG, Caulfield MJ, Anderson CA, Gordon S, Guo Q, Henders A, Lambert A, Kraft P, Kennedy SH, Macgregor S, Missmer SA, Montgomery GW, Nyholt DR, Painter JN, Roseman F, Treloar SA, Visscher PM, Wallace L, Zondervan KT, Alizadeh B, de Boer RA, Boezen HM, Bruinenberg M, Franke L, Hillege HL, van der Klauw MM, Ormel J, Postma DS, Rosmalen JG, Slaets JP, Stolk RP, Lagou V, Welch RP, Wheeler E, Rehnberg E, Yengo L, Lecoeur C, Johnson PC, Mahajan A, Verweij N, Hottenga JJ, Sennblad B, Salo P, Timpson NJ, Hui J, Bielak LF, Zhao W, Horikoshi M, Navarro P, Fall T, Chen H, Robertson N, Rybin D, Chines PS, Song K, An P, Marullo L, Jansen H, Oldehinkel AJ, North KE, Forouhi NG, Edkins S, Varga TV, Oksa H, Antonella M, Kong A, Herder C, Antti J, Miljkovic I, Atalay M, Kiess W, James AL, Smit JH, Campbell S, Fowkes GR, Basart HV, Rathmann W, Maerz W, Province MA, Watanabe RM, de Geus EJ, Penninx BW, Oostra B, Toenjes A, Peyser PA, Körner A, Keinanen Kiukaanniemi SM, Saaristo TE, Boomsma D, Cucca F, Balkau B, Froguel P, Jarvelin MR, Bouatia Naji N, Ahmadi KR, Ainali C, Barrett A, Bataille V, Bell JT, Buil A, Dermitzakis ET, Dimas AS, Durbin R, Glass D, Hassanali N, Hedman ÅK, Ingle C, Keildson S, Knowles D, Krestyaninova M, Lowe CE, Meduri E, di Meglio P, Min JL, Montgomery SB, Nestle FO, Nica AC, Nisbet J, O'Rahilly S, Parts L, Potter S, Sekowska M, Shin SY, Small KS, Surdulescu G, Travers ME, Tsaprouni L, Tsoka S, Wilk A, Matise T, Buyske S, Higashio J, Williams R, Nato A, Ambite JL, Deelman E, Manolio T, Hindorff L, Heiss G, Taylor K, Avery C, Graff M, Lin D, Quibrera M, Cochran B, Kao L, Umans J, Cole S, MacCluer J, Person S, Pankow J, Gross M, Fornage M, Durda P, Jenny N, Patsy B, Arnold A, Buzkova P, Crawford D, Haines J, Murdock D, Glenn K, Brown Gentry K, Thornton Wells T, Dumitrescu L, Jeff J, Bush WS, Mitchell SL, Goodloe R, Wilson S, Boston J, Malinowski J, Restrepo N, Oetjens M, Fowke J, Zheng W, Spencer K, Ritchie M, Pendergrass S, Le Marchand L, Wilkens L, Park L, Tiirikainen M, Kolonel L, Lim U, Cheng I, Wang H, Shohet R, Haiman C, Stram D, Henderson B, Monroe K, Schumacher F, Peters U, Anderson G, Carlson C, Prentice R, LaCroix A, Wu C, Carty C, Gong J, Rosse S, Young A, Haessler J, Kocarnik J, Lin Y, Jackson R, Duggan D, Kuller L, Stolk L, He C, Sulem P, Barbalic M, Broer L, Byrne EM, Gudbjartsson DF, McArdle PF, Porcu E, van Wingerden S, Zhuang W, Albrecht E, Alizadeh BZ, Lauc LB, Broekmans FJ, Burri A, Chanock SJ, Chen C, Corre T, Coviello AD, d'Adamo P, Davies G, Deary IJ, Ebrahim S, Fauser BC, Ferreli L, Folsom AR, Garcia ME, Hall P, Haller T, Hankinson SE, Hass M, Heath AC, Janssens AC, Keyzer J, Lahti J, Lai S, Laisk T, Laven JS, Liu J, Lopez LM, Louwers YV, Marongiu M, Klaric IM, Masciullo C, McKnight B, Medland SE, Melzer D, Newman AB, Paré G, Peeters PH, Plump AS, Pop VJ, Räikkönen K, Salumets A, Smith JA, Stacey SN, Starr JM, Stathopoulou MG, Tenesa A, Thorand B, Tryggvadottir L, Tsui K, van Dam RM, van Gils CH, van Nierop P, Vink JM, Voorhuis M, Wallaschofski H, Widen E, Wijnands van Gent CJ, Zgaga L, Zygmunt M, Arnold AM, Buring JE, Crisponi L, Demerath EW, Hunter DJ, Schlessinger D, Murray A, Murabito JM, Visser JA, Lunetta KL, Elks CE, Cousminer DL, Feenstra B, Lin P, van Wingerden SW, Smith EN, Warrington NM, Alavere H, Berenson GS, Blackburn H, Busonero F, Chen W, Couper D, Easton DF, Foroud T, Geller F, Hernandez DG, Kilpeläinen TO, Li S, Melbye M, Murray JC, Murray SS, Nelis M, Ness AR, Northstone K, Pennell CE, Pharoah P, Rafnar T, Rice JP, Ring SM, Schork NJ, Segrè AV, Sovio U, Srinivasan SR, Tammesoo ML, Tyrer J, Weedon MN, Wichmann H, Young L, Zhuang WV, Bierut LJ, Boyd HA, and Murray A.
Abstract: Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, we conducted genome-wide association meta-analyses of waist and hip circumference-related traits in up to 224,459 individuals. We identified 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and an additional 19 loci newly associated with related waist and hip circumference measures (P<5×10-8). Twenty of the 49 WHRadjBMI loci showed significant sexual dimorphism, 19 of which displayed a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation, and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.
Published: 2015

19. PP56 Poor sleep quality and physical performance in older adults

Author: Denison, HJ, primary, Jameson, KA, additional, Baird, J, additional, Arora, T, additional, Patel, HP, additional, Edwards, MH, additional, Aihie Sayer, A, additional, Dennison, EM, additional, and Cooper, C, additional
Published: 2014
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20. Genome-wide association study meta-analysis of chronic widespread pain: evidence for involvement of the 5p15.2 region

Author: Peters, Marjolein, Broer, Linda, Willemen, HLDM, Eiriksdottir, G, Hocking, LJ, Holliday, KL, Horan, MA, Meulenbelt, I, Neogi, T, Popham, M, Schmidt, CO, Soni, A, Valdes, AM, Amin, Najaf, Dennison, EM, Eijkelkamp, N, Harris, TB, Hart, DJ, Hofman, Bert, Huygen, Frank, Jameson, KA, Jones, GT, Launer, LJ (Lenore), Kerkhof, HJM, Kruijf, Marjolein, McBeth, J, Kloppenburg, M, Ollier, WE, Oostra, Ben, Payton, A, Rivadeneira, Fernando, Smith, BH, Smith, AV, Stolk, Lisette, Teumer, A, Thomson, W, Uitterlinden, André, Wang, K, Wingerden, Sophie, Arden, NK, Cooper, C, Felson, D, Gudnason, V, Macfarlane, GJ, Pendleton, N, Slagboom, PE (Eline), Spector, TD, Volzke, H, Kavelaars, A, Duijn, Cornelia, Williams, FMK, van Meurs, Joyce, Peters, Marjolein, Broer, Linda, Willemen, HLDM, Eiriksdottir, G, Hocking, LJ, Holliday, KL, Horan, MA, Meulenbelt, I, Neogi, T, Popham, M, Schmidt, CO, Soni, A, Valdes, AM, Amin, Najaf, Dennison, EM, Eijkelkamp, N, Harris, TB, Hart, DJ, Hofman, Bert, Huygen, Frank, Jameson, KA, Jones, GT, Launer, LJ (Lenore), Kerkhof, HJM, Kruijf, Marjolein, McBeth, J, Kloppenburg, M, Ollier, WE, Oostra, Ben, Payton, A, Rivadeneira, Fernando, Smith, BH, Smith, AV, Stolk, Lisette, Teumer, A, Thomson, W, Uitterlinden, André, Wang, K, Wingerden, Sophie, Arden, NK, Cooper, C, Felson, D, Gudnason, V, Macfarlane, GJ, Pendleton, N, Slagboom, PE (Eline), Spector, TD, Volzke, H, Kavelaars, A, Duijn, Cornelia, Williams, FMK, and van Meurs, Joyce
Published: 2013

21. The Relation of Dietary Patterns to Adult Lung Function and Chronic Obstructive Pulmonary Disease.

Author: Shaheen, SO, primary, Jameson, KA, additional, Syddall, HE, additional, Ahie-Sayer, A, additional, and Robinson, SM, additional
Published: 2009
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22. Maternity waiting homes as part of a comprehensive approach to maternal and newborn care: a cross-sectional survey

Author: Jody R. Lori, Joseph Perosky, Michelle L. Munro-Kramer, Phil Veliz, Gertrude Musonda, Jameson Kaunda, Carol J. Boyd, Rachael Bonawitz, Godfrey Biemba, Thandiwe Ngoma, and Nancy Scott
Subjects: Antenatal care, Maternity waiting homes, Postnatal care, Zambia, Gynecology and obstetrics, RG1-991
Abstract: Abstract Background Increased encounters with the healthcare system at multiple levels have the potential to improve maternal and newborn outcomes. The literature is replete with evidence on the impact of antenatal care and postnatal care to improve outcomes. Additionally, maternity waiting homes (MWHs) have been identified as a critical link in the continuum of care for maternal and newborn health yet there is scant data on the associations among MWH use and antenatal/postnatal attendance, family planning and immunization rates of newborns. Methods A cross-sectional household survey was conducted to collect data from women who delivered a child in the past 13 months from catchment areas associated with 40 healthcare facilities in seven rural Saving Mothers Giving Life districts in Zambia. Multi-stage random sampling procedures were employed with a final sample of n = 2381. Logistic regression models with adjusted odds ratios and 95% confidence intervals were used to analyze the data. Results The use of a MWH was associated with increased odds of attending four or more antenatal care visits (OR = 1.45, 95% CI = 1.26, 1.68), attending all postnatal care check-ups (OR = 2.00, 95% CI = 1.29, 3.12) and taking measures to avoid pregnancy (OR = 1.31, 95% CI = 1.10, 1.55) when compared to participants who did not use a MWH. Conclusions This is the first study to quantitatively examine the relationship between the use of MWHs and antenatal and postnatal uptake. Developing a comprehensive package of services for maternal and newborn care has the potential to improve acceptability, accessibility, and availability of healthcare services for maternal and newborn health. Maternity waiting homes have the potential to be used as part of a multi-pronged approach to improve maternal and newborn outcomes. Trial registration National Institutes of Health Trial Registration NCT02620436, Impact Evaluation of Maternity Homes Access in Zambia, Date of Registration - December 3, 2015.
Published: 2019
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23. Insulin therapy for inpatients with diabetes: perceptions of resident physicians from disparate geographic training programs.

Author: Cheekati V, Osburne RC, Jameson KA, and Cook CB
Published: 2009
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24. New genetic loci link adipose and insulin biology to body fat distribution

Author: Shungin, Dmitry, Winkler, Thomas W, Workalemahu, Tsegaselassie, Hartman, Catharina A, Duncan, Emma L, Ntzani, Evangelia E, Oei, Ling, Albagha, Omar M E, Amin, Najaf, Kemp, John P, Koller, Daniel L, Li, Guo, Liu, Ching-Ti, Minster, Ryan L, Hassinen, Maija, Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su-Mei, Yerges-Armstrong, Laura M, Zheng, Hou-Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M, Kaptoge, Stephen K, Hayward, Caroline, Leo, Paul J, Thorleifsson, Gudmar, Wilson, Scott G, Wilson, James F, Aalto, Ville, Alen, Markku, Aragaki, Aaron K, Aspelund, Thor, Center, Jacqueline R, Dailiana, Zoe, Heikkilä, Kauko, Duggan, David J, Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J, Husted, Lise Bjerre, Jameson, Karen A, Khusainova, Rita, Kim, Ghi Su, Herzig, Karl-Heinz, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z, Lee, Seung Hun, Leung, Ping C, Lewis, Joshua R, Masi, Laura, Mencej-Bedrac, Simona, Helmer, Quinta, Nguyen, Tuan V, Nogues, Xavier, Patel, Millan S, Prezelj, Janez, Rose, Lynda M, Scollen, Serena, Siggeirsdottir, Kristin, Smith, Albert V, Svensson, Olle, Trompet, Stella, Hillege, Hans L, Trummer, Olivia, van Schoor, Natasja M, Woo, Jean, Zhu, Kun, Balcells, Susana, Brandi, Maria Luisa, Buckley, Brendan M, Cheng, Sulin, Christiansen, Claus, Cooper, Cyrus, Holmen, Oddgeir, Dedoussis, George, Ford, Ian, Frost, Morten, Goltzman, David, González-Macías, Jesús, Kähönen, Mika, Karlsson, Magnus, Khusnutdinova, Elza, Koh, Jung-Min, Kollia, Panagoula, Hunt, Steven C, Langdahl, Bente Lomholt, Leslie, William D, Lips, Paul, Ljunggren, Östen, Lorenc, Roman S, Marc, Janja, Mellström, Dan, Obermayer-Pietsch, Barbara, Olmos, José M, Pettersson-Kymmer, Ulrika, Isaacs, Aaron, Reid, David M, Riancho, José A, Ridker, Paul M, Rousseau, François, Slagboom, P Eline, Tang, Nelson L S, Urreizti, Roser, Van Hul, Wim, Viikari, Jorma, Zarrabeitia, María T, Wu, Joseph M W, Ittermann, Till, Aulchenko, Yurii S, Castano-Betancourt, Martha, Grundberg, Elin, Herrera, Lizbeth, Ingvarsson, Thorvaldur, Johannsdottir, Hrefna, Kwan, Tony, Li, Rui, Luben, Robert, Medina-Gómez, Carolina, James, Alan L, Palsson, Stefan Th, Reppe, Sjur, Rotter, Jerome I, Sigurdsson, Gunnar, van Meurs, Joyce B J, Verlaan, Dominique, Williams, Frances M K, Wood, Andrew R, Zhou, Yanhua, Gautvik, Kaare M, Johansson, Ingegerd, Pastinen, Tomi, Raychaudhuri, Soumya, Cauley, Jane A, Chasman, Daniel I, Clark, Graeme R, Cummings, Steven R, Danoy, Patrick, Dennison, Elaine M, Eastell, Richard, Eisman, John A, Juliusdottir, Thorhildur, Gudnason, Vilmundur, Hofman, Albert, Jackson, Rebecca D, Jones, Graeme, Jukema, J Wouter, Khaw, Kay-Tee, Lehtimäki, Terho, Liu, Yongmei, Lorentzon, Mattias, McCloskey, Eugene, Kalafati, Ioanna-Panagiota, Mitchell, Braxton D, Nandakumar, Kannabiran, Nicholson, Geoffrey C, Oostra, Ben A, Peacock, Munro, Pols, Huibert A P, Prince, Richard L, Raitakari, 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Surdulescu, G., Travers, ME., Tsaprouni, L., Tsoka, S., Wilk, A., Matise, T., Buyske, S., Higashio, J., Williams, R., Nato, A., Ambite, JL., Deelman, E., Manolio, T., Hindorff, L., Heiss, G., Taylor, K., Avery, C., Graff, M., Lin, D., Quibrera, M., Cochran, B., Kao, L., Umans, J., Cole, S., MacCluer, J., Person, S., Pankow, J., Gross, M., Fornage, M., Durda, P., Jenny, N., Patsy, B., Arnold, A., Buzkova, P., Crawford, D., Haines, J., Murdock, D., Glenn, K., Brown-Gentry, K., Thornton-Wells, T., Dumitrescu, L., Jeff, J., Bush, WS., Mitchell, SL., Goodloe, R., Wilson, S., Boston, J., Malinowski, J., Restrepo, N., Oetjens, M., Fowke, J., Zheng, W., Spencer, K., Ritchie, M., Pendergrass, S., Le Marchand£££Loïc£££ L., Wilkens, L., Park, L., Tiirikainen, M., Kolonel, L., Lim, U., Cheng, I., Wang, H., Shohet, R., Haiman, C., Stram, D., Henderson, B., Monroe, K., Schumacher, F., Peters, U., Anderson, G., Carlson, C., Prentice, R., LaCroix, A., Wu, C., Carty, C., Gong, J., Rosse, S., Young, A., Haessler, J., Kocarnik, J., Lin, Y., Jackson, R., Duggan, D., Kuller, L., Stolk, L., He, C., Sulem, P., Barbalic, M., Broer, L., Byrne, EM., Gudbjartsson, DF., McArdle, PF., Porcu, E., van Wingerden, S., Zhuang, W., Albrecht, E., Alizadeh, BZ., Lauc, LB., Broekmans, FJ., Burri, A., Chanock, SJ., Chen, C., Corre, T., Coviello, AD., d'Adamo, P., Davies, G., Deary, IJ., Ebrahim, S., Fauser, BC., Ferreli, L., Folsom, AR., Garcia, ME., Hall, P., Haller, T., Hankinson, SE., Hass, M., Heath, AC., Janssens, AC., Keyzer, J., Lahti, J., Lai, S., Laisk, T., Laven, JS., Liu, J., Lopez, LM., Louwers, YV., Marongiu, M., Klaric, IM., Masciullo, C., McKnight, B., Medland, SE., Melzer, D., Newman, AB., Paré, G., Peeters, PH., Plump, AS., Pop, VJ., Räikkönen, K., Salumets, A., Smith, JA., Stacey, SN., Starr, JM., Stathopoulou, MG., Tenesa, A., Thorand, B., Tryggvadottir, L., Tsui, K., van Dam RM., van Gils CH., van Nierop, P., Vink, JM., Voorhuis, M., Wallaschofski, H., Widen, E., Wijnands-van Gent CJ., Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Department of Genetics, University of Groningen [Groningen], deCODE Genetics, deCODE genetics [Reykjavik], Pediatric Pulmonology, Allergology & Epidemiology, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG)-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Department of Nutrition-Dietetics, Harokopio University of Athens, Yale School of Medicine [New Haven, Connecticut] (YSM), National Heart and Lung Institute (NHLI), Imperial College London, Queensland Institute of Medical Research, Concord Hospital, Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Réseau International des Instituts Pasteur (RIIP)-Réseau 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= University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, 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(BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, S, Lohman, K, Pankow, J, Uh, H, Wu, Y, Bidulescu, A, Rasmussen Torvik, L, Greenwood, C, Ladouceur, M, Grimsby, J, Manning, A, Mooser, V, Kapur, K, Frants, R, Willemsvan vanDijk, K, Willems, S, Psaty, B, Tracy, R, Brody, J, Chen, I, Viikari, J, Kähönen, M, Evans, D, St Pourcain, B, Sattar, N, Carlson, O, Egan, J, van Heemst, D, Kedenko, L, Nuotio, M, Loo, B, Kanaya, A, Haun, M, Klopp, N, Katsareli, E, Couper, D, Duncan, B, Kloppenburg, M, Borja, J, Musani, S, Guo, X, Semple, R, Teslovich, T, Allison, M, Redline, S, Buxbaum, S, Meulenbelt, I, Ballantyne, C, Hu, F, Paulweber, B, Florez, J, Smith, G, Siscovick, D, Kronenberg, F, van Duijn, C, Waterworth, D, Meigs, J, Dupuis, J, Richards, J, Willenborg, C, Thompson, J, Erdmann, J, Goldstein, B, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikäinen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, A, Braund, P, Burgdorf, C, Cox, D, Dimitriou, M, Do, R, El Mokhtari, N, Fontanillas, P, Hager, J, Han, B, Kang, H, Kessler, T, Knowles, J, Kolovou, G, Langford, C, Lokki, M, Lundmark, A, Meisinger, C, Melander, O, Maouche, S, Nikus, K, Peden, J, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Basart, H, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Gauguier, D, Goodall, A, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kim, H, Laaksonen, R, Ouwehand, W, Parish, S, Park, J, Rader, D, Shah, S, Stark, K, Trégouët, D, Virtamo, J, Wallentin, L, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Hovingh, G, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, O'Donnell, C, Reilly, M, Collins, R, Kathiresan, S, Roberts, R, Schunkert, H, Pattaro, C, Köttgen, A, Garnaas, M, Böger, C, Chen, M, Tin, A, Taliun, D, Li, M, Gao, X, Gorski, M, Yang, Q, Hundertmark, C, Foster, M, O'Seaghdha, C, Glazer, N, Struchalin, M, Li, G, Johnson, A, Gierman, H, Hwang, S, Atkinson, E, Cornelis, M, Chouraki, V, Holliday, E, Sorice, R, Deshmukh, H, Ulivi, S, Chu, A, Murgia, F, Trompet, S, Imboden, M, Kollerits, B, Pistis, G, Launer, L, Aspelund, T, Eiriksdottir, G, Mitchell, B, Schmidt, H, Cavalieri, M, Rao, M, de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, Mychaleckyj, J, Hallan, S, Navis, G, Shlipak, M, Bull, S, Paterson, A, Rotter, J, Beckmann, J, Dreisbach, A, Styrkarsdottir, U, Evangelou, E, Hsu, Y, Duncan, E, Ntzani, E, Oei, L, Albagha, O, Kemp, J, Koller, D, Minster, R, Vandenput, L, Willner, D, Xiao, S, Yerges Armstrong, L, Zheng, H, Alonso, N, Kammerer, C, Kaptoge, S, Leo, P, Wilson, S, Aalto, V, Alen, M, Aragaki, A, Center, J, Dailiana, Z, Duggan, D, Garcia Giralt, N, Giroux, S, Hocking, L, Husted, L, Jameson, K, Khusainova, R, Kim, G, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, A, Lee, S, Leung, P, Lewis, J, Masi, L, Mencej Bedrac, S, Nguyen, T, Nogues, X, Patel, M, Prezelj, J, Scollen, S, Siggeirsdottir, K, Svensson, O, Trummer, O, van Schoor, N, Woo, J, Zhu, K, Balcells, S, Brandi, M, Cheng, S, Christiansen, C, Cooper, C, Frost, M, Goltzman, D, González Macías, J, Karlsson, M, Khusnutdinova, E, Koh, J, Kollia, P, Langdahl, B, Leslie, W, Lips, P, Ljunggren, Ö, Lorenc, R, Marc, J, Mellström, D, Obermayer Pietsch, B, Olmos, J, Pettersson Kymmer, U, Reid, D, Riancho, J, Rousseau, F, Tang, N, Urreizti, R, Van Hul, W, Zarrabeitia, M, Castano Betancourt, M, Herrera, L, Ingvarsson, T, Johannsdottir, H, Kwan, T, Li, R, Luben, R, Medina Gómez, C, Palsson, S, Reppe, S, Sigurdsson, G, van Meurs, J, Verlaan, D, Williams, F, Zhou, Y, Gautvik, K, Raychaudhuri, S, Cauley, J, Clark, G, Cummings, S, Danoy, P, Dennison, E, Eastell, R, Eisman, J, Jackson, R, Jones, G, Khaw, K, Mccloskey, E, Nandakumar, K, Peacock, M, Pols, H, Prince, R, Reid, I, Robbins, J, Sambrook, P, Sham, P, Tylavsky, F, Econs, M, Kung, A, Reeve, J, Streeten, E, Karasik, D, Ralston, S, Ioannidis, J, Kiel, D, Forsblom, C, Isakova, T, Mckay, G, Williams, W, Sadlier, D, Mäkinen, V, Swan, E, Boright, A, Ahlqvist, E, Keller, B, Huang, H, Ahola, A, Fagerholm, E, Gordin, D, Harjutsalo, V, He, B, Heikkilä, O, Hietala, K, Kytö, J, Lahermo, P, Lehto, M, Österholm, A, Parkkonen, M, Pitkäniemi, J, Rosengård Bärlund, M, Saraheimo, M, Sarti, C, Söderlund, J, Soro Paavonen, A, Syreeni, A, Thorn, L, Tikkanen, H, Tolonen, N, Tryggvason, K, Wadén, J, Gill, G, Prior, S, Guiducci, C, Mirel, D, Taylor, A, Hosseini, M, Parving, H, Rossing, P, Tarnow, L, Ladenvall, C, Alhenc Gelas, F, Lefebvre, P, Rigalleau, V, Roussel, R, Tregouet, D, Maestroni, A, Maestroni, S, Falhammar, H, Gu, T, Möllsten, A, Cimponeriu, D, Mihai, I, Mota, M, Mota, E, Serafinceanu, C, Stavarachi, M, Hanson, R, Nelson, R, Kretzler, M, Panduru, N, Gu, H, Brismar, K, Zerbini, G, Hadjadj, S, Marre, M, Lajer, M, Waggott, D, Savage, D, Bain, S, Martin, F, Godson, C, Groop, P, Maxwell, A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Fraser, R, Freitag, D, Gurdasani, D, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Van den Herik, E, Volcik, K, Asiki, G, Been, L, Bolton, J, Bonnycastle, L, Burnett, M, Cesana, G, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Kastelein, J, Kim, E, Komulainen, P, Lin, S, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Stančáková, A, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Willemsen, G, Young, E, Bennett, F, Boomsma, D, Bovet, P, Chen, Y, Feranil, A, Freimer, N, Hsiung, C, Järvelin, M, Kesäniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Martin, N, Meneton, P, Moilanen, L, Njølstad, I, Price, J, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sõber, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjögren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Grässler, J, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Stanèáková, A, Raffel, L, Yao, J, Schwartz, S, Ikram, M, Longstreth W., J, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Morken, M, Laitinen, J, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
Subjects: Adipose Tissue/metabolism, Male, genetic association, subcutaneous fat, Transcription, Genetic, Adipocytes, Adipogenesis, Adipose Tissue, Age Factors, Body Mass Index, Continental Population Groups, Epigenesis, Genetic, Europe, Female, Genome, Human, Humans, Insulin, Insulin Resistance, Models, Biological, Neovascularization, Physiologic, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Sex Characteristics, Waist-Hip Ratio, Body Fat Distribution, Genome-Wide Association Study, Multidisciplinary, Insulin Resistance/genetics, Genome-wide association study, Continental Population Groups/genetics, genetic analysis, heritability, gene cluster, Science::Biological sciences::Human anatomy and physiology [DRNTU], 0302 clinical medicine, high density lipoprotein cholesterol, Models, genetics [Insulin Resistance], histone modification, Age Factor, insulin receptor, 0303 health sciences, Adipocyte, Human/genetics, CARDIOGRAMplusC4D Consortium, ADIPOGENIC DIFFERENTIATION, genetic correlation, body fat, Continental Population Group, priority journal, 5 trisphosphate 3 phosphatase, GEFOS Consortium, meta analysis (topic), Science & Technology - Other Topics, ddc:500, transcription regulation, Adipogenesis/genetics, Single Nucleotide/genetics, Human, medicine.medical_specialty, Waist, phosphatidylinositol 3, European, ta3111, genetic regulation, Article, developmental biology, 03 medical and health sciences, MAGIC Investigators, transcription initiation site, SDG 3 - Good Health and Well-being, Genetic, genomics, GLYCEMIC TRAITS, genetics [Continental Population Groups], Polymorphism, GENOME-WIDE ASSOCIATION, Physiologic, genetics [Adipogenesis], Adipocytes/metabolism, Europe/ethnology, Genome, Human/genetics, Insulin/metabolism, Neovascularization, Physiologic/genetics, Obesity/genetics, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci/genetics, Transcription, Genetic/genetics, Genetic/genetics, Adipogenesi, Science & Technology, adiponectin, [ SDV ] Life Sciences [q-bio], vasculotropin, genetics [Quantitative Trait Loci], ta1184, Racial Groups, ta1182, gene mapping, ta3121, triacylglycerol blood level, medicine.disease, Biological, major clinical study, amino acid sequence, metabolism [Insulin], Endocrinology, metabolism [Adipocytes], genetic loci, insulin, body fat, GLGC, International Endogene Consortium, metabolism [Adipose Tissue], Body mass index, HUMAN HEIGHT, Epigenesis, LifeLines Cohort Study, ReproGen Consortium, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, tissue level, Physiologic/genetics, [SDV]Life Sciences [q-bio], Medizin, Adipose tissue, low density lipoprotein cholesterol, PAGE Consortium, COMMON SNPS, angiogenesis, Waist–hip ratio, genetics [Obesity], MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, single nucleotide polymorphism, fat, genetic variability, molecular biology, body mass index (BMI), ethnology [Europe], peroxisome proliferator activated receptor, 2. Zero hunger, Genetics, Genome, Single Nucleotide, waist circumference, insulin, phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase, triacylglycerol, vasculotropin, developmental biology, gene expression, genome, numerical model, adipocyte, adipose tissue, body fat distribution, body mass, female, gene locus, gene structure, hip circumference, human, insulin resistance, lipoprotein blood level, male, obesity, protein protein interaction, sex difference, waist hip ratio, Multidisciplinary Sciences, genetics [Transcription, Genetic], genetics [Polymorphism, Single Nucleotide], ADIPOGen Consortium, genetics [Neovascularization, Physiologic], Transcription, SUSCEPTIBILITY LOCI, General Science & Technology, ICBP, 030209 endocrinology & metabolism, Biology, adipocyte, MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, MESENCHYMAL STEM-CELLS, GENIE Consortium, SEXUAL-DIMORPHISM, Insulin resistance, Internal medicine, medicine, genetics [Genome, Human], ABDOMINAL ADIPOSITY, Neovascularization, 030304 developmental biology, FALSE DISCOVERY, CKDGen Consortium, Sex Characteristic, MuTHER Consortium, numerical model
Abstract: Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P
Published: 2015
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25. Quantitative cone contrast threshold testing in patients with differing pathophysiological mechanisms causing retinal diseases.

Author: White KM, Livnat I, Frambach CR, Doan J, Mehta UV, Yuh C, Palma AM, Jameson KA, Kenney MC, Mehta MC, Boisvert CJ, Crow WR, and Browne AW
Abstract: Background: Cone contrast threshold testing (CCT) provides quantitative measurements of color and contrast function to reveal changes in vision quality that are not standard endpoints in clinical trials. We utilize CCT to measure visual function in patients with multiple sclerosis (MS), age-related macular degeneration (AMD), epiretinal membrane (ERM), and retinal vein occlusion (RVO)., Methods: Retrospective data was gathered from 237 patients of the Gavin Herbert Eye Institute. Subjects included 17 patients with MS, 45 patients with AMD, 41 patients with ERM, 11 patients with RVO, and 123 healthy controls. Patients underwent the primary measurement outcome, CCT testing, as well as Sloan visual acuity test and spectral domain optical coherence tomography during normal care., Results: Color and contrast deficits were present in MS patients regardless of history of optic neuritis. AMD with intermediate or worse disease demonstrated reduced CCT scores. All 3 stages of ERM demonstrated cone contrast deficits. Despite restoration of visual acuity, RVO-affected eyes demonstrated poorer CCT performance than unaffected fellow eyes., Conclusions: CCT demonstrates color and contrast deficits for multiple retinal diseases with differing pathophysiology. Further prospective studies of CCT in other disease states and with larger samples sizes is warranted., (© 2023. The Author(s).)
Published: 2023
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26. Relationships between non-communicable disease, social isolation and frailty in community dwelling adults in later life: findings from the Hertfordshire Cohort Study.

Author: Bevilacqua G, Jameson KA, Zhang J, Bloom I, Fuggle NR, Patel HP, Ward KA, Cooper C, and Dennison EM
Subjects: Aged, Aged, 80 and over, Cohort Studies, Female, Frail Elderly, Geriatric Assessment, Humans, Independent Living, Male, Social Isolation, Frailty epidemiology, Noncommunicable Diseases epidemiology
Abstract: Background: Social relationships play a fundamental role in individuals' lives and health, and social isolation is prevalent among older people. Chronic non-communicable diseases (NCDs) and frailty are also common in older adults., Aims: To examine the association between number of NCDs and social isolation in a cohort of community-dwelling older adults in the UK, and to consider whether any potential association is mediated by frailty., Methods: NCDs were self-reported by 176 older community-dwelling UK adults via questionnaire. Social isolation was assessed using the six-item Lubben Social Network Scale. Frailty was assessed by the Fried phenotype of physical frailty., Results: The median (IQR) age of participants in this study was 83.1 (81.5-85.5) years for men and 83.8 (81.5-85.9) years for women. The proportion of socially isolated individuals was 19% in men and 20% in women. More women (18%) than men (13%) were identified as frail. The number of NCDs was associated with higher odds of being isolated in women (unadjusted odds ratio per additional NCD: 1.65, 95% CI 1.08, 2.52, p = 0.021), but not in men, and the association remained robust to adjustment, even when accounting for frailty (OR 1.85, 95% CI 1.06, 3.22, p = 0.031)., Discussion: Number of self-reported NCDs was associated with higher odds of social isolation in women but not in men, and the association remained after considering frailty status., Conclusions: Our observations may be considered by healthcare professionals caring for community-dwelling older adults with multiple NCDs, where enquiring about social isolation as part of a comprehensive assessment may be important., (© 2021. The Author(s).)
Published: 2022
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27. Determinants of circulating 25-hydroxyvitamin D concentration and its association with musculoskeletal health in midlife: Findings from the Hertfordshire Cohort Study.

Author: Bevilacqua G, Laskou F, Clynes MA, Jameson KA, Boucher BJ, Noonan K, Cooper C, and Dennison EM
Abstract: Introduction: Several studies have reported the importance of vitamin D status to musculoskeletal health in populations of older adults. Here we report relationships between circulating serum 25(OH)D and musculoskeletal health in a community cohort of UK adults in midlife and investigate whether environmental (dietary intake, use of supplements) and/or genetic factors (4 SNPs previously related to vitamin D status) play more significant roles in determining vitamin D status in this population., Methods: Participants were recruited from the Hertfordshire Cohort Study, an established longitudinal cohort study of community dwelling adults and were seen at baseline and follow up 9-12 years later. Lumbar spine and total femur BMD were measured at baseline using a Hologic QDR 4500 instrument. Osteoarthritis (OA) was defined by radiographs of the knees graded according to Kellgren & Lawrence at both time points. Serum 25(OH)D concentrations were measured using a DiaSorin Liaison chemiluminescent assay. Genotyping of 4 SNPs previously associated with 25(OH)D values were assessed: (rs12785878 (DHCR7), rs10741657 (CYP2R1) and rs6013897 (CYP24A1)) and a fourth SNP (rs4588), described as "a near-perfect proxy (i.e. substitute) for rs2282679 on the GC gene"., Results: 820 subjects (397 men, 423 women) participated at baseline, and 339 of these 820 subjects (164 men; 175 women) participated in a follow up study of OA progression. The median (IQR) age of participants at baseline was 64.0 (61.8-66.5) and 65.5 (63.3-67.6) for men and women respectively. Median circulating levels of 25(OH)D were 44.6 (35.0-63.0) nmol/L and 41.3 (29.8-53.5) nmol/L in men and women respectively. Circulating 25(OH)D was strongly associated with season of blood testing (p < 0.001). The greatest variance in a model of vitamin D status that included the four SNPs measured, season, and whether participants reported taking vitamin D supplements was explained by season of assay (17.9% men; 15.8% women). Higher femoral neck BMD was observed in men with higher baseline vitamin D status, after adjustment for age, season, BMI, smoker status, alcohol consumption, physical activity and social class (p = 0.01). Associations between 25(OH)D and BMD in women were not statistically significant in this population. There were no associations between circulating 25(OH)D and radiographic knee OA at either time point after adjustment for confounders and for duration of follow-up., Conclusion: Circulating 25(OH)D levels were generally lower than is recommended in community dwelling adults in midlife, with marked seasonal variation observed, but relationships with reported vitamin D supplementation were weaker. Circulating 25(OH)D was directly associated with hip BMD in men but relationships with BMD in women and radiographic OA were not seen in this sample., Competing Interests: Michael A Clynes has received support for attending conferences from UCB, Pfizer and Eli Lily. Professor Cyrus Cooper has received lecture fees and honoraria from Amgen, Danone, Eli Lilly, GSK, Kyowa Kirin, Medtronic, Merck, Nestlé, Novartis, Pfizer, Roche, Servier, Shire, Takeda and UCB outside of the submitted work. Professor Elaine Dennison has received speaker honoraria from UCB, Pfizer, Lilly and Viatris. Gregorio Bevilacqua, Faidra Laskou, Karen A Jameson, Barbara Boucher and Kate Noonan have no relevant interests to declare., (© 2021 The Authors. Published by Elsevier Inc.)
Published: 2021
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28. The relationship of nutritional risk with diet quality and health outcomes in community-dwelling older adults.

Author: Bloom I, Pilgrim A, Jameson KA, Dennison EM, Sayer AA, Roberts HC, Cooper C, Ward KA, and Robinson SM
Subjects: Aged, Cross-Sectional Studies, Diet, Geriatric Assessment, Hand Strength, Humans, Outcome Assessment, Health Care, Independent Living, Malnutrition
Abstract: Objectives: To identify early nutritional risk in older populations, simple screening approaches are needed. This study aimed to compare nutrition risk scores, calculated from a short checklist, with diet quality and health outcomes, both at baseline and prospectively over a 2.5-year follow-up period; the association between baseline scores and risk of mortality over the follow-up period was assessed., Methods: The study included 86 community-dwelling older adults in Southampton, UK, recruited from outpatient clinics. At both assessments, hand grip strength was measured using a Jamar dynamometer. Diet was assessed using a short validated food frequency questionnaire; derived 'prudent' diet scores described diet quality. Body mass index (BMI) was calculated and weight loss was self-reported. Nutrition risk scores were calculated from a checklist adapted from the DETERMINE (range 0-17)., Results: The mean age of participants at baseline (n = 86) was 78 (SD 8) years; half (53%) scored 'moderate' or 'high' nutritional risk, using the checklist adapted from DETERMINE. In cross-sectional analyses, after adjusting for age, sex and education, higher nutrition risk scores were associated with lower grip strength [difference in grip strength: - 0.09, 95% CI (- 0.17, - 0.02) SD per unit increase in nutrition risk score, p = 0.017] and poorer diet quality [prudent diet score: - 0.12, 95% CI (- 0.21, - 0.02) SD, p = 0.013]. The association with diet quality was robust to further adjustment for number of comorbidities, whereas the association with grip strength was attenuated. Nutrition risk scores were not related to reported weight loss or BMI at baseline. In longitudinal analyses there was an association between baseline nutrition risk score and lower grip strength at follow-up [fully-adjusted model: - 0.12, 95% CI (- 0.23, - 0.02) SD, p = 0.024]. Baseline nutrition risk score was also associated with greater risk of mortality [unadjusted hazard ratio per unit increase in score: 1.29 (1.01, 1.63), p = 0.039]; however, this association was attenuated after adjustment for sex and age., Conclusions: Cross-sectional associations between higher nutrition risk scores, assessed from a short checklist, and poorer diet quality suggest that this approach may hold promise as a simple way of screening older populations. Further larger prospective studies are needed to explore the predictive ability of this screening approach and its potential to detect nutritional risk in older adults., (© 2021. The Author(s).)
Published: 2021
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29. The association between social isolation and musculoskeletal health in older community-dwelling adults: findings from the Hertfordshire Cohort Study.

Author: Bevilacqua G, Jameson KA, Zhang J, Bloom I, Ward KA, Cooper C, and Dennison EM
Subjects: Aged, Cohort Studies, Female, Humans, Male, Independent Living psychology, Quality of Life psychology, Social Isolation psychology
Abstract: Purpose: Social isolation has been associated with both physical and psychological adverse outcomes and is prevalent in older adults. We investigated the impact of social isolation on bone mineral density (BMD) and physical capability in community-dwelling older adults., Methods: Data were collected in 2011 and 2017 from the Hertfordshire Cohort Study. In 2011, we assessed social isolation using the six-item Lubben Social Network Scale (LSNS-6) and the Maastricht Social Participation Profile (MSSP) and depressive and anxiety symptoms using the Hospital Anxiety and Depression Scale (HADS). Physical capability was assessed by performing tests of gait speed, chair stands, timed up and go and balance at both time points. BMD was assessed using dual X-ray absorptiometry (DXA) at both time points., Results: Data were available from 369 participants in 2011 and 184 in 2017. Forty percent of men and 42.4% of women were socially isolated. Isolated participants had higher odds of depressive disorder (OR 3.01, 95% CI 1.27-7.11, p < 0.02). Social isolation at baseline was associated with poor physical capability scores at follow-up (OR 5.53, 95% CI 1.09-27.99, p < 0.04). No associations were found between social isolation and BMD at either time point., Conclusions: Social isolation was associated with higher odds of having depressive symptoms and predicted the development of poor physical capability 6 years later. Further longitudinal studies that include loneliness as a covariate are warranted.
Published: 2021
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30. Poor sleep quality and physical performance in older adults.

Author: Denison HJ, Jameson KA, Sayer AA, Patel HP, Edwards MH, Arora T, Dennison EM, Cooper C, and Baird J
Subjects: Aged, Female, Hand Strength, Humans, Independent Living, Male, Physical Functional Performance, Sarcopenia, Sleep Quality
Abstract: Objectives: This study aimed to examine the association between sleep quality and physical performance among a group of UK community-dwelling older adults, according to sex., Methods: Sleep quality was assessed using the Pittsburgh Sleep Quality Index. Physical performance was assessed using a short physical performance battery (SPPB), a timed up-and-go, and a hand-grip strength test., Results: Of 591 eligible study members, 401 completed the Pittsburgh Sleep Quality Index. In regression analyses, men who reported poor sleep quality were significantly more likely to have a poor SPPB score, even after adjustment for confounding factors (OR = 2.54, 95% CI 1.10-5.89, P= .03). The direction of the relationship was reversed among women, where those who reported poor sleep were less likely to have a low SPPB score (OR = 0.36, 95% CI 0.15-0.85, P = .02). Poor sleep quality was associated with poorer hand-grip strength among women (regression coefficient = -0.34 z score, 95% CI -0.64, -0.04, P = .03), but this relationship was not observed among men (regression coefficient = 0.28 z score, 95% CI -0.01, 0.57, P = .06)., Conclusion: We found evidence of an association between poor sleep quality and poorer physical performance in older adults, though there appear to be important sex differences., (Copyright © 2020 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.)
Published: 2021
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31. Quantifying Color Vision Changes Associated With Cataracts Using Cone Contrast Thresholds.

Author: Mehta U, Diep A, Nguyen K, Le B, Yuh C, Frambach C, Doan J, Wei A, Palma AM, Farid M, Garg S, Kedhar S, Wade M, Marshall KA, Jameson KA, Cristina Kenney M, and Browne AW
Subjects: Cross-Sectional Studies, Humans, Retrospective Studies, Cataract diagnosis, Color Vision, Color Vision Defects diagnosis
Abstract: Purpose: To evaluate effects of age and simulated and real cataractous changes on color vision as measured by the high-definition cone contrast test (CCT)., Methods: Twenty-four healthy volunteers from two cohort studies performed CCT using best-corrected visual acuity, filters, mydriasis, and pinhole correction. Retrospective cross-sectional study of patients seen in eye clinics evaluated the relationship between age and color vision, and age and lens status in 355 eyes. Last, 25 subjects underwent CCT before and after cataract surgery., Results: CCT scores were most reliable in the nonmydriatic condition without pinhole correction. Progressively dense brown filters produced small decreases in S-cone sensitivity. Linear regression analysis of phakic subjects showed a decline for all cone classes with age. Rate of decline was greater for S-cones (slope = -1.09; 95% confidence interval [CI], -1.30 to 0.86) than M-cones (slope = -0.80; 95% CI, -1.03 to -0.58) and L-cones (slope = -0.66; 95% CI, -0.88 to -0.44). CCT scores increased for S-cones but reduced for L- and M-cones in pseudophakic subjects compared with phakic patients. CCT scores after cataract surgery increased for S-cones, M-cones, and L-cones by 33.0 (95% CI, 8.6 to 57.4), 24.9 (95% CI, 3.8 to 46.0), and 22.0 (95% CI, -3.2 to 47.3), respectively., Conclusions: CCT assessment allows for clinically practical quantitation of color and contrast vision improvement after cataract surgery and aging patients who note poor vision despite good visual acuity., Translational Relevance: CCT testing, which quantifies hereditary and acquired color deficiency, can also quantify the degree of cataract severity and, combined with other parameters, can provide more precise guidance for cataract extraction to optimize patient care., Competing Interests: Disclosure: U. Mehta, None; A. Diep, None; K. Nguyen, None; B. Le, None; C. Yuh, None; C. Frambach, None; J. Doan, None; A. Wei, None; A.M. Palma, None; M. Farid, None; S. Garg, None; S. Kedhar, None; M. Wade, None; K.A. Marshall, None; K.A. Jameson, None; M.C. Kenney, None; A.W. Browne, None, (Copyright 2020 The Authors.)
Published: 2020
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32. Does self-report of multimorbidity in later life predict impaired physical functioning, and might this be useful in clinical practice?

Author: Clynes MA, Bevilacqua G, Jameson KA, Cooper C, and Dennison EM
Subjects: Activities of Daily Living, Aged, Female, Humans, Independent Living, Male, Surveys and Questionnaires, Walking Speed, Health Status, Multimorbidity, Self Report
Abstract: Background: Multimorbidity has been shown in several studies to relate to impaired physical function in later life., Aims: To examine if self-report of multimorbidity predicts impaired physical functioning, as assessed by formal physical function testing, in community-dwelling older adults., Methods: Non-communicable diseases (NCDs) were self-reported by 443 older community-dwelling UK adults via questionnaire, asking the question: 'Have you been told by a doctor that you have any of the following conditions?' Assessments of walking speed, chair stands and balance allowed us to create a composite score (0-12) on which impaired physical functioning was defined as ≤ 9., Results: The mean age of participants was 75.5 ± 2.5 years for men and 75.8 ± 2.6 for women. The proportion of individuals with impaired physical functioning was 71.2% in women and 56.9% in men. Having four or more NCDs was associated with an increased risk of poor physical function in men and women (p < 0.05). The number of medications and medicated systems was associated with gait speed (p < 0.03 and < 0.02, respectively) and timed up-and-go tests (p < 0.03 and < 0.02, respectively) in women but not men., Discussion and Conclusion: Self-report of 4 or more NCDs was associated with an increased risk of poor physical function, an outcome which has previously been associated with adverse clinical sequelae. This observation may inform development of a simple screening tool to look for poor physical function in older adults.
Published: 2020
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33. Self-reported Sleep Quality and Bone Outcomes in Older Adults: Findings from the Hertfordshire Cohort Study.

Author: Bevilacqua G, Denison HJ, Laskou F, Jameson KA, Ward KA, Cooper C, and Dennison EM
Subjects: Absorptiometry, Photon, Aged, Cohort Studies, Female, Humans, Male, Radius, Self Report, Tibia, United Kingdom, Bone Density, Bone and Bones physiology, Sleep
Abstract: Sleep duration may be associated with risk of osteoporosis, with suggestions that too little or indeed too much sleep may be detrimental to bone health. In this study, we considered whether perceived sleep quality is also associated with bone health in older adults. We explored this association in a cohort of 443 older community-dwelling UK adults. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI); poor sleep quality was defined as > 5 on this score system. Bone density, shape and microarchitecture were assessed using dual energy X-ray absorptiometry (DXA), peripheral quantitative computed tomography (pQCT) and high-resolution pQCT (HRpQCT). Thirty-seven percent of men and 43% of women had a PSQI score greater than 5, indicative of poor perceived sleep. We found that quality of sleep was associated with altered bone microarchitecture. In men, poor sleep quality was associated with lower radial trabecular (4% slice, p < 0.04) and cortical (66% slice, p = 0.02) bone mineral density, as well as decreased tibial cortical density (p < 0.02) and increased porosity (p < 0.04), but increased size of the tibia (p < 0.04). In women, poor perceived sleep quality was associated with thinner (p < 0.03) and less dense (p < 0.04) cortices of the radius, but greater tibial trabecular number (p < 0.02) and lower separation (p < 0.04). Relationships with DXA parameters were non-significant after adjustment for confounders. Taking sleep medications was associated with decreased tibial size (38% and 66% slices) and strength in women (all p < 0.05), but not in men. Perceived sleep quality was associated with altered bone density and microarchitecture in older adults, and these differences varied according to biological sex and site. Further work is indicated to investigate possible mechanisms underlying these observations.
Published: 2020
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34. A two-step method for identifying photopigment opsin and rhodopsin gene sequences underlying human color vision phenotypes.

Author: Atilano SR, Kenney MC, Briscoe AD, and Jameson KA
Subjects: Adult, Aged, 80 and over, Exons, Female, Genotype, Humans, Male, Middle Aged, Mutation, Phenotype, Polymorphism, Single Nucleotide, Rhodopsin blood, Rod Opsins blood, Rod Opsins genetics, Color Vision genetics, Opsins genetics, Polymerase Chain Reaction methods, Rhodopsin genetics, Sequence Analysis, DNA methods
Abstract: Purpose: To present a detailed, reliable long range-PCR and sequencing (LR-PCR-Seq) procedure to identify human opsin gene sequences for variations in the long wavelength-sensitive ( OPN1LW ), medium wavelength-sensitive ( OPN1MW ), short wavelength-sensitive ( OPN1SW ), and rhodopsin ( RHO ) genes., Methods: Color vision was assessed for nine subjects using the Farnsworth-Munsell 100 hue test, Ishihara pseudoisochromatic plates, and the Rabin cone-contrast threshold procedure (ColorDX, Konan Medical). The color vision phenotypes were normal trichromacy (n = 3), potential tetrachromacy (n = 3), dichromacy (n = 2), and unexplained low color vision (n = 1). DNA was isolated from blood or saliva and LR-PCR amplified into individual products: OPN1LW (4,045 bp), OPN1MW (4,045 bp), OPN1SW (3,326 bp), and RHO (6,715 bp). Each product was sequenced using specific internal primer sets. Analysis was performed with Mutation Surveyor software., Results: The LR-PCR-Seq technique identified known single nucleotide polymorphisms (SNPs) in OPN1LW and OPN1MW gene codons (180, 230, 233, 277, and 285), as well as those for lesser studied codons (174, 178, 236, 274, 279, 298 and 309) in the OPN1LW and OPN1MW genes. Additionally, six SNP variants in the OPN1MW and OPN1LW genes not previously reported in the NCBI dbSNP database were identified. An unreported poly-T region within intron 5(c.36+126) of the rhodopsin gene was also found, and analysis showed it to be highly conserved in mammalian species., Conclusions: This LR-PCR-Seq procedure (single PCR reaction per gene followed by sequencing) can identify exonic and intronic SNP variants in OPN1LW , OPN1MW , OPN1SW , and rhodopsin genes. There is no need for restriction enzyme digestion or multiple PCR steps that can introduce errors. Future studies will combine the LR-PCR-Seq with perceptual behavior measures, allowing for accurate correlations between opsin genotypes, retinal photopigment phenotypes, and color perception behaviors., (Copyright © 2020 Molecular Vision.)
Published: 2020

35. Jumping Joints: The Complex Relationship Between Osteoarthritis and Jumping Mechanography.

Author: Shere C, Fuggle NR, Edward MH, Parsons CM, Jameson KA, Cooper C, Dennison EM, and Ward KA
Subjects: Aged, Aging physiology, Female, Humans, Knee Joint diagnostic imaging, Knee Joint pathology, Male, Muscle Strength physiology, Osteoarthritis, Knee diagnostic imaging, Osteoarthritis, Knee pathology, Sarcopenia diagnostic imaging, Sarcopenia pathology, Sarcopenia physiopathology, United Kingdom, Biomechanical Phenomena physiology, Exercise physiology, Knee Joint physiology, Osteoarthritis, Knee physiopathology
Abstract: We investigated the relationship between lower limb osteoarthritis (OA) and muscle strength and power (assessed by jumping mechanography) in UK community-dwelling older adults. We recruited 249 older adults (144 males, 105 females). OA was assessed clinically at the knee according to ACR criteria and radiographically, at the knee and hip, using Kellgren and Lawrence grading. Two-footed jumping tests were performed using a Leonardo Mechanography Ground Reaction Force Platform to assess maximum muscle force, power and Esslinger Fitness Index. Linear regression was used to assess the relationship between OA and jumping outcomes. Results are presented as β (95% confidence interval). The mean age of participants was 75.2 years (SD 2.6). Males had a significantly higher maximum relative power during lift off (mean 25.7 W/kg vs. 19.9 W/kg) and maximum total force during lift off (mean 21.0 N/kg vs. 19.1 N/kg) than females. In adjusted models, we found significant associations in males between clinical knee OA and maximum relative power [- 6.00 (CI - 9.10, - 2.94)] and Esslinger Fitness Index [- 19.3 (- 29.0, - 9.7)]. In females, radiographic knee OA was associated with total maximum power [- 2.0 (- 3.9, - 0.1)] and Esslinger Fitness Index [- 8.2 (- 15.9, - 0.4)]. No significant associations were observed for maximum total force. We observed significant negative associations between maximum relative power and Esslinger Fitness Index and clinical knee OA in males and radiographic knee OA in females. We have used novel methodology to demonstrate relationships between muscle function and OA in older adults.
Published: 2020
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36. Impact of osteoarthritis on activities of daily living: does joint site matter?

Author: Clynes MA, Jameson KA, Edwards MH, Cooper C, and Dennison EM
Subjects: Aged, Cohort Studies, Female, Humans, Knee, Knee Joint, Male, Radiography, Surveys and Questionnaires, Activities of Daily Living, Osteoarthritis, Hip diagnostic imaging, Osteoarthritis, Knee diagnostic imaging
Abstract: Background: We consider the relationships between a clinical and radiological diagnosis of knee or hip OA and activities of daily-living (ADL) in older adults., Methods: Data were available for 222 men and 221 women from the Hertfordshire Cohort Study (HCS) who also participated in the UK component of the European Project on Osteoarthritis (EPOSA). Participants completed the EuroQoL survey where they reported if they had difficulties with mobility, self-care, usual activities and movement around their house. Hip and knee radiographs were graded for overall Kellgren and Lawrence score (positive definition defined as a 2 or above). Clinical OA was defined using American College of Rheumatology criteria., Results: In men, a clinical diagnosis of hip or knee OA were both associated with reported difficulties in mobility, ability to self-care and performing usual-activities (hip OA: OR 17.6, 95% CI 2.07, 149, p = 0.009; OR 12.5, 95% CI 2.51, 62.3, p = 0.002; OR 4.92, 95% CI 1.06, 22.8, p = 0.042 respectively. Knee OA: OR 8.18, 95% CI 3.32, 20.2, p < 0.001; OR 4.29, 95% CI 1.34, 13.7, p = 0.014; OR 5.32, 95% CI 2.26, 12.5, p < 0.001 respectively). Similar relationships were seen in women, where in addition, a radiological diagnosis of knee OA was associated with difficulties performing usual activities (OR 3.25, 95% CI 1.61, 6.54, p = 0.001). In general, men with OA reported stronger associations between moving around the house, specifically around the kitchen (clinical hip OA: OR 13.7, 95% CI 2.20, 85.6, p = 0.005; clinical knee OA OR 8.45, 95% CI 1.97, 36.2, p = 0.004) than women., Discussion and Conclusion: Clinical OA is strongly related to the ability to undertake ADL in older adults and should be considered in clinic consultations when seeing patients with OA.
Published: 2019
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37. Longitudinal Change in Peripheral Quantitative Computed Tomography Assessment in Older Adults: The Hertfordshire Cohort Study.

Author: Patel A, Edwards MH, Jameson KA, Ward KA, Fuggle N, Cooper C, and Dennison EM
Subjects: Aged, Bone and Bones diagnostic imaging, Cohort Studies, Female, Hand Strength physiology, Humans, Longitudinal Studies, Male, Muscle, Skeletal diagnostic imaging, Tomography, X-Ray Computed, Walking Speed physiology, Bone Density physiology, Bone and Bones physiology, Muscle Strength physiology, Muscle, Skeletal physiology
Abstract: There are few longitudinal data on change in bone structure and muscle mass, strength and function in later life. We report these, and consider bone-muscle interrelationships in older men and women. We studied 188 men and 166 women from the Hertfordshire Cohort Study, who underwent peripheral quantitative computed tomography (pQCT) of the radius and tibia in 2004-2005 and then again in 2011-2012. Grip strength and gait speed were also assessed at both timepoints. Percentage change per year was calculated for grip strength, gait speed, muscle cross-sectional area (mCSA), fat cross-sectional area (fCSA) and diaphyseal bone parameters [total area (Tt.Ar), cortical area (Ct.Ar), cortical density (cBMD) and trabecular density (tBMD)]. The mean (SD) age of men and women at baseline was 68.9 (2.5) and 69.2 (2.6) years, respectively. Rates of muscle area and strength loss did not differ by sex. Tt.Ar increased with age and faster in men [mean (SD) 1.78 (1.64) %/year] than women [mean (SD) 1.03 (1.69) %/year] in the radius (p < 0.001). In both the radius (p = 0.006) and tibia (p < 0.001), Ct.Ar reduced more rapidly in women than men. Change in Ct.Ar was associated with change in muscle area in the corresponding limb (radius; men: regression coefficient 0.36, 95% CI 0.20-0.52, p < 0.001; tibia; men: regression coefficient 0.14, 95% CI 0.00-0.27, p = 0.043, women: regression coefficient 0.16, 95% CI 0.01-0.30, p = 0.032). We have demonstrated that muscle strength and function decrease faster than muscle mass and have provided further evidence that changes in bone structure with age differ by sex.
Published: 2018
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38. Mild cognitive impairment is associated with poor physical function but not bone structure or density in late adulthood: findings from the Hertfordshire cohort study.

Author: Patel A, Jameson KA, Edwards MH, Ward K, Gale CR, Cooper C, and Dennison EM
Subjects: Absorptiometry, Photon methods, Aged, Bone and Bones diagnostic imaging, Cognitive Dysfunction diagnostic imaging, Cognitive Dysfunction pathology, Cohort Studies, Cross-Sectional Studies, Female, Geriatric Assessment, Humans, Independent Living, Male, Tomography, X-Ray Computed methods, Bone Density, Bone and Bones pathology, Cognitive Dysfunction physiopathology, Exercise psychology
Abstract: This study investigated the association between mild cognitive impairment (MCI) and physical function and bone health in older adults. MCI was associated with poor physical performance but not bone mineral density or bone microarchitecture., Purpose: Cross-sectional study to investigate the association between mild cognitive impairment (MCI) and physical performance, and bone health, in a community-dwelling cohort of older adults., Methods: Cognitive function of 222 men and 221 women (mean age 75.5 and 75.8 years in men and women, respectively) was assessed by the Strawbridge questionnaire and Mini Mental State Exam (MMSE). Participants underwent dual-energy X-ray absorptiometry (DXA), peripheral-quantitative computed tomography (pQCT) and high-resolution peripheral-quantitative computed tomography (HR-pQCT) scans to assess their bone density, strength and microarchitecture. Their physical function was assessed and a physical performance (PP) score was recorded., Results: In the study, 11.8% of women and 8.1% of men were cognitively impaired on the MMSE (score < 24). On the Strawbridge questionnaire, 24% of women were deemed cognitively impaired compared to 22.3% of men. Cognitive impairment on the Strawbridge questionnaire was associated with poorer physical performance score in men but not in women in the unadjusted analysis. MMSE < 24 was strongly associated with the risk of low physical performance in men (OR 12.9, 95% CI 1.67, 99.8, p = 0.01). Higher MMSE score was associated with better physical performance in both sexes. Poorer cognitive function, whether assessed by the Strawbridge questionnaire, or by MMSE score, was not associated with bone density, shape or microarchitecture, in either sex., Conclusion: MCI in older adults was associated with poor physical performance, but not bone density, shape or microarchitecture.
Published: 2018
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39. The relationship of bone properties using high resolution peripheral quantitative computed tomography to radiographic components of hip osteoarthritis.

Author: Edwards MH, Paccou J, Ward KA, Jameson KA, Moss C, Woolston J, Javaid MK, Cooper C, and Dennison EM
Subjects: Aged, Aged, 80 and over, Female, Hip Joint diagnostic imaging, Hip Joint pathology, Hip Joint physiopathology, Humans, Male, Osteoarthritis, Hip complications, Osteoarthritis, Hip pathology, Osteophyte diagnostic imaging, Osteophyte etiology, Osteophyte physiopathology, Radius diagnostic imaging, Radius pathology, Radius physiopathology, Sex Factors, Tibia diagnostic imaging, Tibia pathology, Tibia physiopathology, Tomography, X-Ray Computed methods, Weight-Bearing physiology, Bone Density physiology, Osteoarthritis, Hip diagnostic imaging, Osteoarthritis, Hip physiopathology
Abstract: Objective: Positive associations between radiographic osteoarthritis (OA) and areal bone mineral density (BMD) have been demonstrated and appear strongest when bony features of OA are considered. To date, these associations have not been assessed using HRpQCT., Design: A total of 318 participants (170 men and 148 women), aged 72.1-81.4 years from a non-selected cohort, underwent HRpQCT of the distal radius and tibia along with hip radiography. Differences in bone microarchitecture were assessed between those with and without osteophytes, sclerosis or joint space narrowing (JSN) in either hip., Results: Men with osteophytes alone had significantly higher radial trabecular volumetric BMD (Tb.vBMD) and radial and tibial trabecular thickness (Tb.Th). Men with both sclerosis and osteophytes had significantly higher cortical volumetric BMD (Ct.vBMD) and cortical thickness (Ct.Th) at the distal tibia than those with osteophytes alone (P < 0.05). These relationships were maintained after adjustment for age and Body Mass Index (BMI), and were not replicated in women. Bone microarchitecture did not differ significantly in those with JSN from those without it in men or women., Conclusions: Our findings suggest higher Tb.vBMD and Tb.Th in men with osteophytosis but higher tibial Ct.vBMD and Ct.Th in men with hip joint sclerosis. These results do however require replication in other cohorts., (Copyright © 2017 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.)
Published: 2017
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40. Quantitative approach for defining basic color terms and color category best exemplars.

Author: Fider N, Narens L, Jameson KA, and Komarova NL
Abstract: A new method is presented that identifies basic color terms (BCTs) from color-naming data. A function is defined that measures how well a term is understood by a communicating population. BCTs are then separated from other color terms by a threshold value applied to this function. A new mathematical algorithm is proposed and analyzed for determining the best exemplar associated with each BCT. Using data provided by the World Color Survey, comparisons are made between the paper's methods and those from other studies. These comparisons show that the paper's new definition of "basicness" mostly agrees with the typical definition found in the color categorization literature, which was originally due to Kay and colleagues. The new definition, unlike the typical one, has the advantage of not relying on syntactic or semantic features of languages or color lexicons. This permits the methodology developed to be generalizable and applied to other category domains for which a construct of "basicness" could have an important role.
Published: 2017
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41. Does sex or ethnicity impact anti-tumour necrosis factor agent use in rheumatoid arthritis?

Author: Dennison EM, Jameson KA, Marks J, Watson K, Hyrich K, Symmons D, and Cooper C
Subjects: Humans, Arthritis, Rheumatoid, Tumor Necrosis Factor-alpha
Published: 2017
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42. Influences on diet quality in older age: the importance of social factors.

Author: Bloom I, Edwards M, Jameson KA, Syddall HE, Dennison E, Gale CR, Baird J, Cooper C, Aihie Sayer A, and Robinson S
Subjects: Age Factors, Aged, Cognition, Emotions, England, Female, Habits, Humans, Leisure Activities, Longitudinal Studies, Male, Middle Aged, Nutrition Assessment, Social Participation, Surveys and Questionnaires, Aging, Choice Behavior, Diet adverse effects, Food Preferences, Nutritional Status, Social Behavior
Abstract: Background: poor diet quality is common among older people, but little is known about influences on food choice, including the role of psychosocial factors at this age., Objective: to identify psychosocial correlates of diet quality in a community-dwelling population of men and women aged 59-73 years; to describe relationships with change in diet quality over 10 years., Design: Longitudinal cohort, Hertfordshire Cohort Study (HCS)., Subjects: HCS participants assessed at baseline (1998-2003: 1,048 men, 862 women); 183 men and 189 women re-assessed in 2011., Methods: diet was assessed by administered food frequency questionnaire; diet scores were calculated to describe diet quality at baseline and follow-up. A range of psychosocial factors (social support, social network, participation in leisure activities, depression and anxiety, sense of control) were assessed by questionnaire., Results: at baseline, better diet quality was related to a range of social factors, including increased confiding/emotional social support (men and women), practical support (men) and a larger social network (women) (all P < 0.05). For both men and women, greater participation in social and cognitive leisure activities was related to better diet quality (P < 0.005). There were few associations between measured psychosocial factors at baseline and change in diet score over 10 years, in the follow-up sub-group. However, greater participation in leisure activities, especially cognitive activities, at baseline was associated with smaller declines in diet quality over the 10-year follow-up period for both men (P = 0.017) and women (P = 0.014)., Conclusions: in community-dwelling older adults, a range of social factors, that includes greater participation in leisure activities, were associated with diets of better quality., (© The Author 2016. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For Permissions, please email: journals.permissions@oup.com)
Published: 2017
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43. The Impact of Trained Volunteer Mealtime Assistants on the Dietary Intake of Older Female In-Patients: The Southampton Mealtime Assistance Study.

Author: Roberts HC, Pilgrim AL, Jameson KA, Cooper C, Sayer AA, and Robinson S
Subjects: Aged, Aged, 80 and over, Diet, Energy Intake, England, Female, Hospitals, University, Humans, Inpatients, Male, Volunteers, Caregivers, Eating, Enteral Nutrition methods, Malnutrition prevention & control, Meals
Abstract: Objective: Malnutrition among older hospital inpatients is common and is associated with poor clinical outcomes. Time-pressured staff may struggle to provide mealtime assistance. This study aimed to evaluate the impact of trained volunteer mealtime assistants on the dietary intake of older inpatients., Design: Quasi-experimental two year pre and post- test study of the introduction of volunteer mealtime assistants to one acute medical female ward, with contemporaneous comparison with a control ward., Setting: Two acute medical female wards in a university hospital in England., Participants: Female acute medical inpatients aged 70 years and over who were not tube fed, nil by mouth, terminally ill or being nursed in a side room., Intervention: The introduction of volunteer mealtime assistants to one ward to help patients during weekday lunchtimes in the intervention year., Measurements: Patients' background and clinical characteristics were assessed; 24-hour records were completed for individual patients to document dietary intake in both years on the two wards., Results: A total of 407 patients, mean (SD) age 87.5 (5.4) years, were studied over the two-year period; the majority (57%) needed mealtime assistance and up to 50% were confused. Patients' clinical characteristics did not differ between wards in the observational or intervention years. Throughout the intervention year volunteers provided mealtime assistance on weekday lunchtimes on the intervention ward only. Daily energy (median 1039 kcal; IQR 709, 1414) and protein (median 38.9 g: IQR 26.6, 54.0) intakes were very low (n=407). No differences in dietary intake were found between the wards in the observational or intervention years, or in a pre-post-test comparison of patients on the intervention ward. Data were therefore combined for further analysis to explore influences on dietary intake. In a multivariate model, the only independent predictor of energy intake was the feeding assistance required by patients; greater need for help was associated with lower energy intake (P<0.001). Independent predictors of protein intake were the feeding assistance given (P<0.001) and use of sip feeds; sip feed users had slightly higher protein intakes (P=0.014)., Conclusions: Trained volunteers were able to deliver mealtime assistance on a large scale in an effective and sustainable manner, with the potential to release time for nursing staff to complete other clinical tasks. The study participants had a low median intake of energy and protein highlighting the importance of patient factors associated with acute illness; a stratified approach including oral and parenteral nutritional supplementation may be required for some acutely unwell patients. The level of mealtime assistance required was the factor most strongly associated with patients' poor intake of energy and protein and may be a useful simple indicator of patients at risk of poor nutrition., Competing Interests: None declared.
Published: 2017
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44. Development of a Short Questionnaire to Assess Diet Quality among Older Community-Dwelling Adults.

Author: Robinson SM, Jameson KA, Bloom I, Ntani G, Crozier SR, Syddall H, Dennison EM, Cooper CR, and Sayer AA
Subjects: Aged, Ascorbic Acid blood, Cross-Sectional Studies, Feeding Behavior, Female, Humans, Lipoproteins, HDL blood, Male, Middle Aged, Principal Component Analysis, Residence Characteristics, Triglycerides blood, Vitamins, Diet, Diet Records, Energy Intake, Surveys and Questionnaires
Abstract: Objective: To evaluate the use of a short questionnaire to assess diet quality in older adults., Design: Cross-sectional study., Setting: Hertfordshire, UK., Participants: 3217 community-dwelling older adults (59-73 years)., Measurements: Diet was assessed using an administered food frequency questionnaire (FFQ); two measures of diet quality were defined by calculating participants' 'prudent diet' scores, firstly from a principal component analysis of the data from the full FFQ (129 items) and, secondly, from a short version of the FFQ (including 24 indicator foods). Scores calculated from the full and short FFQ were compared with nutrient intake and blood concentrations of vitamin C and lipids., Results: Prudent diet scores calculated from the full FFQ and short FFQ were highly correlated (0.912 in men, 0.904 in women). The pattern of associations between nutrient intake (full FFQ) and diet scores calculated using the short and full FFQs were very similar, both for men and women. Prudent diet scores calculated from the full and short FFQs also showed comparable patterns of association with blood measurements: in men and women, both scores were positively associated with plasma vitamin C concentration and serum HDL; in women, an inverse association with serum triglycerides was also observed., Conclusions: A short food-based questionnaire provides useful information about the diet quality of older adults. This simple tool does not require nutrient analysis, and has the potential to be of value to non-specialist researchers., Competing Interests: No author has a conflict of interest.
Published: 2017
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45. Lower leg arterial calcification assessed by high-resolution peripheral quantitative computed tomography is associated with bone microstructure abnormalities in women.

Author: Paccou J, Edwards MH, Patsch JM, Jameson KA, Ward KA, Moss C, Dennison EM, and Cooper C
Subjects: Aged, Cohort Studies, Cross-Sectional Studies, Female, Humans, Leg blood supply, Tomography, X-Ray Computed, Arteries pathology, Bone Density, Calcinosis pathology, Radius pathology, Tibia pathology
Abstract: In older women, the presence of lower leg arterial calcification assessed by high-resolution peripheral quantitative computed tomography is associated with relevant bone microstructure abnormalities at the distal tibia and distal radius., Introduction: Here, we report the relationships of bone geometry, volumetric bone mineral density (BMD) and bone microarchitecture with lower leg arterial calcification (LLAC) as assessed by high-resolution peripheral quantitative computed tomography (HR-pQCT)., Methods: We utilized the Hertfordshire Cohort Study (HCS), where we were able to study associations between measures obtained from HR-pQCT of the distal radius and distal tibia in 341 participants with or without LLAC. Statistical analyses were performed separately for women and men. We used linear regression models to investigate the cross-sectional relationships between LLAC and bone parameters., Results: The mean (SD) age of participants was 76.4 (2.6) and 76.1 (2.5) years in women and men, respectively. One hundred and eleven of 341 participants (32.6 %) had LLAC that were visible and quantifiable by HR-pQCT. The prevalence of LLAC was higher in men than in women (46.4 % (n = 83) vs. 17.3 % (n = 28), p < 0.001). After adjustment for confounding factors, we found that women with LLAC had substantially lower Ct.area (β = -0.33, p = 0.016), lower Tb.N (β = -0.54, p = 0.013) and higher Tb.Sp (β = 0.54, p = 0.012) at the distal tibia and lower Tb.Th (β = -0.49, p = 0.027) at the distal radius compared with participants without LLAC. Distal radial or tibial bone parameter analyses in men according to their LLAC status revealed no significant differences with the exception of Tb.N (β = 0.27, p = 0.035) at the distal tibia., Conclusion: In the HCS, the presence of LLAC assessed by HR-pQCT was associated with relevant bone microstructure abnormalities in women. These findings need to be replicated and further research should study possible pathophysiological links between vascular calcification and osteoporosis., Competing Interests: statement Professor Cooper has received consultancy fees/honoraria from Servier; Eli Lilly; Merck; Amgen; Alliance; Novartis; Medtronic; GSK; Roche. Julien Paccou, Mark Edwards, Janina Patsch, Kate Ward, Karen Jameson, Charlotte Moss, and Elaine Dennison declare that they have no conflict of interest.
Published: 2016
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46. Bone Microarchitecture in Men and Women with Diabetes: The Importance of Cortical Porosity.

Author: Paccou J, Ward KA, Jameson KA, Dennison EM, Cooper C, and Edwards MH
Subjects: Aged, Aged, 80 and over, Cohort Studies, Cortical Bone diagnostic imaging, Diabetes Complications diagnostic imaging, Female, Humans, Male, Porosity, Radiographic Image Interpretation, Computer-Assisted, Radius pathology, Tibia pathology, Tomography, X-Ray Computed, Cortical Bone pathology, Diabetes Complications pathology, Diabetes Mellitus
Abstract: High-resolution peripheral quantitative computed tomography (HR-pQCT) captures novel aspects of bone geometry, volumetric bone mineral density and offers the ability to measure bone microarchitecture, but data relating measures obtained from this technique to diabetic status are inconsistent in women and lacking in men. Here, we report an analysis from the Hertfordshire Cohort Study, where we were able to study associations between bone microarchitecture from HR-pQCT of distal radius and distal tibia in 332 participants (177 men and 155 women) aged 72.1-81.4 years with or without diabetes mellitus (DM); n = 29 (18 men and 11 women) and n = 303, respectively. Statistical analyses were performed separately for women and men. The mean (SD) age of participants was 76.4 (2.6) and 76.1 (2.5) years in women and men, respectively. Participants with DM differed significantly in terms of weight in both women (70.4 ± 12.3 vs. 80.3 ± 18.3 kg; p = 0.015) and men (81.7 ± 11.4 vs. 92.8 ± 16.3 kg; p < 0.001) but no differences were found in height, smoking status, alcohol intake, social class and physical activity among women or men. Analyses in women revealed that cortical pore volume (Ct.Po.V) was higher in participants with DM and close to statistical significance for cortical porosity (Ct.Po) (β = 0.76 [0.12, 1.41] z-score, p = 0.020 and β = 0.62 [-0.02, 1.27] z-score, p = 0.059, respectively) at the distal radius. Adjustment for weight did not materially affect the relationship described for Ct.Po.V (β = 0.74 [0.09, 1.39], p = 0.027) and Ct.Po (β = 0.65 [-0.01, 1.30], p = 0.053) at the distal radius. After adjustment for weight, analyses in men revealed that Ct.Po and Ct.Po.V were higher in participants with DM (β = 0.57 [0.09, 1.06] z-score, p = 0.021 and β = 0.48 [0.01, 0.95] z-score, p = 0.044, respectively) at the distal tibia. Analyses of distal radial and tibial trabecular bone parameters according to diabetic status revealed no significant differences among men or women after adjustment for weight. We found higher cortical porosity and cortical pore volume at the distal tibia in men with DM and higher cortical pore volume at the distal radius in women with a non-significant tendency for higher cortical porosity. The results of our study suggest that deficits in cortical bone exist both in older men and women with DM.
Published: 2016
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47. Non-invasive Assessment of Lower Limb Geometry and Strength Using Hip Structural Analysis and Peripheral Quantitative Computed Tomography: A Population-Based Comparison.

Author: Litwic AE, Clynes M, Denison HJ, Jameson KA, Edwards MH, Sayer AA, Taylor P, Cooper C, and Dennison EM
Subjects: Absorptiometry, Photon, Aged, Bone Density, Female, Humans, Male, Middle Aged, Prospective Studies, Hip diagnostic imaging, Leg diagnostic imaging, Tomography, X-Ray Computed methods
Abstract: Hip fracture is the most significant complication of osteoporosis in terms of mortality, long-term disability and decreased quality of life. In the recent years, different techniques have been developed to assess lower limb strength and ultimately fracture risk. Here we examine relationships between two measures of lower limb bone geometry and strength; proximal femoral geometry and tibial peripheral quantitative computed tomography. We studied a sample of 431 women and 488 men aged in the range 59-71 years. The hip structural analysis (HSA) programme was employed to measure the structural geometry of the left hip for each DXA scan obtained using a Hologic QDR 4500 instrument while pQCT measurements of the tibia were obtained using a Stratec 2000 instrument in the same population. We observed strong sex differences in proximal femoral geometry at the narrow neck, intertrochanteric and femoral shaft regions. There were significant (p < 0.001) associations between pQCT-derived measures of bone geometry (tibial width; endocortical diameter and cortical thickness) and bone strength (strength strain index) with each corresponding HSA variable (all p < 0.001) in both men and women. These results demonstrate strong correlations between two different methods of assessment of lower limb bone strength: HSA and pQCT. Validation in prospective cohorts to study associations of each with incident fracture is now indicated.
Published: 2016
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48. Measuring Appetite with the Simplified Nutritional Appetite Questionnaire Identifies Hospitalised Older People at Risk of Worse Health Outcomes.

Author: Pilgrim AL, Baylis D, Jameson KA, Cooper C, Sayer AA, Robinson SM, and Roberts HC
Subjects: Aged, 80 and over, Body Mass Index, Cause of Death, Cross Infection etiology, Energy Intake, England, Female, Hospitals, Humans, Length of Stay, Male, Malnutrition complications, Odds Ratio, Patient Readmission, Risk, Surveys and Questionnaires, Weight Loss, Anorexia, Appetite, Geriatric Assessment methods, Health Status, Hospitalization, Nutrition Assessment
Abstract: Objectives: Poor appetite is commonly reported by older people but is rarely measured. The Simplified Nutritional Appetite Questionnaire (SNAQ) was validated to predict weight loss in community dwelling older adults but has been little used in hospitals. We evaluated it in older women on admission to hospital and examined associations with healthcare outcomes., Design: Longitudinal observational with follow-up at six months., Setting: Female acute Medicine for Older People wards at a University hospital in England., Participants: 179 female inpatients., Measurements: Age, weight, Body Mass Index (BMI), grip strength, SNAQ, Barthel Index Score, Mini Mental State Examination (MMSE), Geriatric Depression Scale: Short Form (GDS-SF), Malnutrition Universal Screening Tool (MUST), category of domicile and receipt of care were measured soon after admission and repeated at six month follow-up. The length of hospital stay (LOS), hospital acquired infection, readmissions and deaths by follow-up were recorded., Results: 179 female participants mean age 87 (SD 4.7) years were recruited. 42% of participants had a low SNAQ score (<14, indicating poor appetite). A low SNAQ score was associated with an increased risk of hospital acquired infection (OR 3.53; 95% CI: 1.48, 8.41; p=0.004) and with risk of death (HR 2.29; 95% CI: 1.12, 4.68; p = 0.023) by follow-up., Conclusion: Poor appetite was common among the older hospitalised women studied, and was associated with higher risk of poor healthcare outcomes.
Published: 2016
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49. Ischemic heart disease is associated with lower cortical volumetric bone mineral density of distal radius.

Author: Paccou J, Edwards MH, Ward KA, Jameson KA, Moss CL, Harvey NC, Dennison EM, and Cooper C
Subjects: Aged, Aged, 80 and over, Cohort Studies, England epidemiology, Female, Humans, Male, Myocardial Ischemia complications, Myocardial Ischemia epidemiology, Myocardial Ischemia pathology, Osteoporosis epidemiology, Osteoporosis etiology, Osteoporosis physiopathology, Radius diagnostic imaging, Radius pathology, Tibia diagnostic imaging, Tibia pathology, Tibia physiopathology, Tomography, X-Ray Computed methods, Bone Density physiology, Myocardial Ischemia physiopathology, Radius physiopathology
Abstract: Unlabelled: In this study, high-resolution peripheral quantitative computed tomography (HR-pQCT) was used to investigate geometric, volumetric and microstructural parameters at the distal radius and at the distal tibia in participants with ischaemic heart disease. We found that, compared with participants without ischaemic heart disease, they had substantially lower cortical volumetric bone mineral density (BMD) at the distal radius., Introduction: HR-pQCT captures novel aspects of bone geometry and volumetric bone mineral density (vBMD) and offers the ability to measure bone microarchitecture, but data relating measures obtained from this technique in patients with ischemic heart disease (IHD) are lacking., Methods: Here, we report an analysis from the Hertfordshire Cohort Study, where we were able to study associations between measures obtained from HR-pQCT of distal radius and distal tibia in 350 participants (184 men and 166 women) aged 71.5-80.5 years with or without IHD (e.g. heart attack, angina or heart failure; n = 75 and n = 275, respectively)., Results: Analyses for all participants (men and women together) revealed that cortical vBMD (Ct.vBMD) was lower (p < 0.001) and cortical thickness (Ct.th) was not different (p = 0.519), whereas cortical porosity (Ct.Po) was higher (p = 0.016) in participants with IHD at the distal radius. Moreover, trabecular microarchitectural parameters were not significantly different in patients with IHD (p > 0.05 for all). Adjustment for a priori confounders (age, gender, body mass index, smoking status, alcohol consumption, high blood pressure and diabetes mellitus) did not materially affect the relationship described for Ct.vBMD (p = 0.002), but differences in Ct.Po were attenuated. Analyses in men alone revealed that only Ct.vBMD was lower at the distal radius in participants with IHD with and without adjustment for a priori confounders (p = 0.0002 and p = 0.004, respectively), whereas no statistical differences were found in women, although patterns of differences were similar in both sexes. Moreover, no association was found between IHD and bone parameters at the distal tibia either in men or women., Conclusions: We have demonstrated that IHD is associated with lower Ct.vBMD of the distal radius.
Published: 2015
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50. Further evidence of the developmental origins of osteoarthritis: results from the Hertfordshire Cohort Study.

Author: Clynes MA, Parsons C, Edwards MH, Jameson KA, Harvey NC, Sayer AA, Cooper C, and Dennison EM
Subjects: Aged, Cohort Studies, England epidemiology, Female, Humans, Infant, Logistic Models, Male, Osteoarthritis diagnostic imaging, Osteophyte diagnostic imaging, Radiography, Body Weight physiology, Hand diagnostic imaging, Hip diagnostic imaging, Knee diagnostic imaging, Osteoarthritis diagnosis, Osteoarthritis epidemiology, Osteoarthritis etiology
Abstract: Investigators have suggested a link between birth weight and both hand and lumbar spine osteoarthritis (OA). In this study, we sought to extend these observations by investigating relationships between growth in early life, and clinical and radiological diagnoses of OA at the hand, knee and hip, among participants from the Hertfordshire Cohort Study. Data were available for 222 men and 222 women. Clinical OA was defined based on American College of Rheumatology criteria. Radiographs were taken of the knees and hips, and graded for the presence of osteophytes and overall Kellgren and Lawrence (KL) score. Lower weight at year one was associated with higher rates of clinical hand OA (OR 1.396, 95% CI 1.05, 1.85, P=0.021). Individuals with lower birth weights were more likely to have hip osteophytes (OR 1.512, 95% CI 1.14, 2.00, P=0.004) and this remained robust after adjustment for confounders. Furthermore, a low weight at one year was also associated with a higher osteophyte number in the lateral compartment of the knee, after adjustment for confounders (OR 1.388, 95% CI 1.01, 1.91, P=0.043). We have found further evidence of a relationship between early life factors and adult OA. These findings accord with previous studies.
Published: 2014
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