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1.  Ethnic Differences in the Prevalence of Myopia and Ocular Biometry in 10- and 11-Year-Old Children: The Child Heart and Health Study in England (CHASE) 
In children from similar sociodemographic backgrounds attending the same schools, South Asian children were nine times more likely to be myopic and black African Caribbeans three times more likely, compared with white Europeans. Ethnic differences in environmental susceptibility to myopia may be explained by genetics or early life exposures.
Purpose.
Ethnic differences in childhood prevalence of myopia have not been well characterized in the United Kingdom. In this study, ethnic differences in refractive status and ocular biometry were examined in a multiethnic sample of British children.
Methods.
This was a cross-sectional study of 10- and 11-year-old school children of South Asian, black African Caribbean, and white European ethnic origin. Vision, open-field autorefraction (without cycloplegia), and ocular biometry were measured in each eye. Myopia was defined as spherical equivalent refraction of −0.50 D with unaided vision of 20/30 or worse (in one or both eyes). Ethnic differences in the prevalence of myopia were examined by using logistic regression, and multiple linear regression was used for ethnic differences in ocular biometry. All models were adjusted for age, sex, and clustering within school.
Results.
Data were available for 1179 children. The prevalence of myopia was 25.2%, 10.0%, and 3.4%, respectively, in the South Asian, black African Caribbean, and white European children. Adjusted odds ratios (ORs) of myopia compared with the white European children were 8.9 (95% confidence interval [CI] 4.0 to 19.4) in the South Asian and 3.2 (95% CI, 1.4 to 7.2) in black African Caribbean children. Ethnic differences in the prevalence of myopia were largely accounted for by ethnic differences in axial length. The South Asian and black African Caribbean children had longer axial lengths (0.44 mm; 95% CI, 0.30 to 0.57 mm and 0.30 mm; 95% CI, 0.16 to 0.44 mm, respectively).
Conclusions.
Among British children exposed to the same schooling environment, the South Asians had the highest prevalence of myopia, followed by the black African Caribbeans compared with the white Europeans. A quarter of British South Asian children were myopic, which is strongly related to increased axial length.
doi:10.1167/iovs.10-5528
PMCID: PMC3055754  PMID: 20631242
2.  Genome-wide association analysis identifies six new loci associated with forced vital capacity 
Loth, Daan W. | Artigas, María Soler | Gharib, Sina A. | Wain, Louise V. | Franceschini, Nora | Koch, Beate | Pottinger, Tess | Smith, Albert Vernon | Duan, Qing | Oldmeadow, Chris | Lee, Mi Kyeong | Strachan, David P. | James, Alan L. | Huffman, Jennifer E. | Vitart, Veronique | Ramasamy, Adaikalavan | Wareham, Nicholas J. | Kaprio, Jaakko | Wang, Xin-Qun | Trochet, Holly | Kähönen, Mika | Flexeder, Claudia | Albrecht, Eva | Lopez, Lorna M. | de Jong, Kim | Thyagarajan, Bharat | Alves, Alexessander Couto | Enroth, Stefan | Omenaas, Ernst | Joshi, Peter K. | Fall, Tove | Viňuela, Ana | Launer, Lenore J. | Loehr, Laura R. | Fornage, Myriam | Li, Guo | Wilk, Jemma B. | Tang, Wenbo | Manichaikul, Ani | Lahousse, Lies | Harris, Tamara B. | North, Kari E. | Rudnicka, Alicja R. | Hui, Jennie | Gu, Xiangjun | Lumley, Thomas | Wright, Alan F. | Hastie, Nicholas D. | Campbell, Susan | Kumar, Rajesh | Pin, Isabelle | Scott, Robert A. | Pietiläinen, Kirsi H. | Surakka, Ida | Liu, Yongmei | Holliday, Elizabeth G. | Schulz, Holger | Heinrich, Joachim | Davies, Gail | Vonk, Judith M. | Wojczynski, Mary | Pouta, Anneli | Johansson, Åsa | Wild, Sarah H. | Ingelsson, Erik | Rivadeneira, Fernando | Völzke, Henry | Hysi, Pirro G. | Eiriksdottir, Gudny | Morrison, Alanna C. | Rotter, Jerome I. | Gao, Wei | Postma, Dirkje S. | White, Wendy B. | Rich, Stephen S. | Hofman, Albert | Aspelund, Thor | Couper, David | Smith, Lewis J. | Psaty, Bruce M. | Lohman, Kurt | Burchard, Esteban G. | Uitterlinden, André G. | Garcia, Melissa | Joubert, Bonnie R. | McArdle, Wendy L. | Musk, A. Bill | Hansel, Nadia | Heckbert, Susan R. | Zgaga, Lina | van Meurs, Joyce B.J. | Navarro, Pau | Rudan, Igor | Oh, Yeon-Mok | Redline, Susan | Jarvis, Deborah | Zhao, Jing Hua | Rantanen, Taina | O’Connor, George T. | Ripatti, Samuli | Scott, Rodney J. | Karrasch, Stefan | Grallert, Harald | Gaddis, Nathan C. | Starr, John M. | Wijmenga, Cisca | Minster, Ryan L. | Lederer, David J. | Pekkanen, Juha | Gyllensten, Ulf | Campbell, Harry | Morris, Andrew P. | Gläser, Sven | Hammond, Christopher J. | Burkart, Kristin M. | Beilby, John | Kritchevsky, Stephen B. | Gudnason, Vilmundur | Hancock, Dana B. | Williams, O. Dale | Polasek, Ozren | Zemunik, Tatijana | Kolcic, Ivana | Petrini, Marcy F. | Wjst, Matthias | Kim, Woo Jin | Porteous, David J. | Scotland, Generation | Smith, Blair H. | Viljanen, Anne | Heliövaara, Markku | Attia, John R. | Sayers, Ian | Hampel, Regina | Gieger, Christian | Deary, Ian J. | Boezen, H. Marike | Newman, Anne | Jarvelin, Marjo-Riitta | Wilson, James F. | Lind, Lars | Stricker, Bruno H. | Teumer, Alexander | Spector, Timothy D. | Melén, Erik | Peters, Marjolein J. | Lange, Leslie A. | Barr, R. Graham | Bracke, Ken R. | Verhamme, Fien M. | Sung, Joohon | Hiemstra, Pieter S. | Cassano, Patricia A. | Sood, Akshay | Hayward, Caroline | Dupuis, Josée | Hall, Ian P. | Brusselle, Guy G. | Tobin, Martin D. | London, Stephanie J.
Nature genetics  2014;46(7):669-677.
Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 × 10−8) with FVC in or near EFEMP1, BMP6, MIR-129-2/HSD17B12, PRDM11, WWOX, and KCNJ2. Two (GSTCD and PTCH1) loci previously associated with spirometric measures were related to FVC. Newly implicated regions were followed-up in samples of African American, Korean, Chinese, and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and pathogenesis of restrictive lung disease.
doi:10.1038/ng.3011
PMCID: PMC4140093  PMID: 24929828
3.  No Evidence for Genome-Wide Interactions on Plasma Fibrinogen by Smoking, Alcohol Consumption and Body Mass Index: Results from Meta-Analyses of 80,607 Subjects 
Baumert, Jens | Huang, Jie | McKnight, Barbara | Sabater-Lleal, Maria | Steri, Maristella | Chu, Audrey Y. | Trompet, Stella | Lopez, Lorna M. | Fornage, Myriam | Teumer, Alexander | Tang, Weihong | Rudnicka, Alicja R. | Mälarstig, Anders | Hottenga, Jouke-Jan | Kavousi, Maryam | Lahti, Jari | Tanaka, Toshiko | Hayward, Caroline | Huffman, Jennifer E. | Morange, Pierre-Emmanuel | Rose, Lynda M. | Basu, Saonli | Rumley, Ann | Stott, David J. | Buckley, Brendan M. | de Craen, Anton J. M. | Sanna, Serena | Masala, Marco | Biffar, Reiner | Homuth, Georg | Silveira, Angela | Sennblad, Bengt | Goel, Anuj | Watkins, Hugh | Müller-Nurasyid, Martina | Rückerl, Regina | Taylor, Kent | Chen, Ming-Huei | de Geus, Eco J. C. | Hofman, Albert | Witteman, Jacqueline C. M. | de Maat, Moniek P. M. | Palotie, Aarno | Davies, Gail | Siscovick, David S. | Kolcic, Ivana | Wild, Sarah H. | Song, Jaejoon | McArdle, Wendy L. | Ford, Ian | Sattar, Naveed | Schlessinger, David | Grotevendt, Anne | Franzosi, Maria Grazia | Illig, Thomas | Waldenberger, Melanie | Lumley, Thomas | Tofler, Geoffrey H. | Willemsen, Gonneke | Uitterlinden, André G. | Rivadeneira, Fernando | Räikkönen, Katri | Chasman, Daniel I. | Folsom, Aaron R. | Lowe, Gordon D. | Westendorp, Rudi G. J. | Slagboom, P. Eline | Cucca, Francesco | Wallaschofski, Henri | Strawbridge, Rona J. | Seedorf, Udo | Koenig, Wolfgang | Bis, Joshua C. | Mukamal, Kenneth J. | van Dongen, Jenny | Widen, Elisabeth | Franco, Oscar H. | Starr, John M. | Liu, Kiang | Ferrucci, Luigi | Polasek, Ozren | Wilson, James F. | Oudot-Mellakh, Tiphaine | Campbell, Harry | Navarro, Pau | Bandinelli, Stefania | Eriksson, Johan | Boomsma, Dorret I. | Dehghan, Abbas | Clarke, Robert | Hamsten, Anders | Boerwinkle, Eric | Jukema, J. Wouter | Naitza, Silvia | Ridker, Paul M. | Völzke, Henry | Deary, Ian J. | Reiner, Alexander P. | Trégouët, David-Alexandre | O'Donnell, Christopher J. | Strachan, David P. | Peters, Annette | Smith, Nicholas L.
PLoS ONE  2014;9(12):e111156.
Plasma fibrinogen is an acute phase protein playing an important role in the blood coagulation cascade having strong associations with smoking, alcohol consumption and body mass index (BMI). Genome-wide association studies (GWAS) have identified a variety of gene regions associated with elevated plasma fibrinogen concentrations. However, little is yet known about how associations between environmental factors and fibrinogen might be modified by genetic variation. Therefore, we conducted large-scale meta-analyses of genome-wide interaction studies to identify possible interactions of genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentration. The present study included 80,607 subjects of European ancestry from 22 studies. Genome-wide interaction analyses were performed separately in each study for about 2.6 million single nucleotide polymorphisms (SNPs) across the 22 autosomal chromosomes. For each SNP and risk factor, we performed a linear regression under an additive genetic model including an interaction term between SNP and risk factor. Interaction estimates were meta-analysed using a fixed-effects model. No genome-wide significant interaction with smoking status, alcohol consumption or BMI was observed in the meta-analyses. The most suggestive interaction was found for smoking and rs10519203, located in the LOC123688 region on chromosome 15, with a p value of 6.2×10−8. This large genome-wide interaction study including 80,607 participants found no strong evidence of interaction between genetic variants and smoking status, alcohol consumption or BMI on fibrinogen concentrations. Further studies are needed to yield deeper insight in the interplay between environmental factors and gene variants on the regulation of fibrinogen concentrations.
doi:10.1371/journal.pone.0111156
PMCID: PMC4281156  PMID: 25551457
4.  Birthweight and risk markers for type 2 diabetes and cardiovascular disease in childhood: the Child Heart and Health Study in England (CHASE) 
Diabetologia  2014;58:474-484.
Aims/hypothesis
Lower birthweight (a marker of fetal undernutrition) is associated with higher risks of type 2 diabetes and cardiovascular disease (CVD) and could explain ethnic differences in these diseases. We examined associations between birthweight and risk markers for diabetes and CVD in UK-resident white European, South Asian and black African-Caribbean children.
Methods
In a cross-sectional study of risk markers for diabetes and CVD in 9- to 10-year-old children of different ethnic origins, birthweight was obtained from health records and/or parental recall. Associations between birthweight and risk markers were estimated using multilevel linear regression to account for clustering in children from the same school.
Results
Key data were available for 3,744 (66%) singleton study participants. In analyses adjusted for age, sex and ethnicity, birthweight was inversely associated with serum urate and positively associated with systolic BP. After additional height adjustment, lower birthweight (per 100 g) was associated with higher serum urate (0.52%; 95% CI 0.38, 0.66), fasting serum insulin (0.41%; 95% CI 0.08, 0.74), HbA1c (0.04%; 95% CI 0.00, 0.08), plasma glucose (0.06%; 95% CI 0.02, 0.10) and serum triacylglycerol (0.30%; 95% CI 0.09, 0.51) but not with BP or blood cholesterol. Birthweight was lower among children of South Asian (231 g lower; 95% CI 183, 280) and black African-Caribbean origin (81 g lower; 95% CI 30, 132). However, adjustment for birthweight had no effect on ethnic differences in risk markers.
Conclusions/interpretation
Birthweight was inversely associated with urate and with insulin and glycaemia after adjustment for current height. Lower birthweight does not appear to explain emerging ethnic difference in risk markers for diabetes.
Electronic supplementary material
The online version of this article (doi:10.1007/s00125-014-3474-7) contains peer-reviewed but unedited supplementary material, which is available to authorised users.
doi:10.1007/s00125-014-3474-7
PMCID: PMC4320299  PMID: 25520157
Birthweight; Cardiovascular disease; Childhood; Ethnicity; Type 2 diabetes
5.  Adiposity in Early, Middle and Later Adult Life and Cardiometabolic Risk Markers in Later Life; Findings from the British Regional Heart Study 
PLoS ONE  2014;9(12):e114289.
Objectives: This research investigates the associations between body mass index (BMI) at 21, 40–59, 60–79 years of age on cardiometabolic risk markers at 60–79 years.
Methods: A prospective study of 3464 British men with BMI measured at 40–59 and 60–79 years, when cardiometabolic risk was assessed. BMI at 21 years was ascertained from military records, or recalled from middle-age (adjusted for reporting bias); associations between BMI at different ages and later cardiometabolic risk markers were examined using linear regression. Sensitive period, accumulation and mobility life course models were devised for high BMI (defined as BMI≥75th centile) and compared with a saturated BMI trajectory model.
Results: At ages 21, 40–59 and 60–79 years, prevalences of overweight (BMI≥25 kg/m2) were 12%, 53%, 70%, and obesity (≥30 kg/m2) 1.6%, 6.6%, and 17.6%, respectively. BMI at 21 years was positively associated with serum insulin, blood glucose, and HbA1c at 60–79 years, with increases of 1.5% (95%CI 0.8,2.3%), 0.4% (0.1,0.6%), 0.3% (0.1,0.4%) per 1 kg/m2, respectively, but showed no associations with blood pressure or blood cholesterol. However, these associations were modest compared to those between BMI at 60–79 years and serum insulin, blood glucose and HbA1c at 60–79 years, with increases of 8.6% (8.0,9.2%), 0.7% (0.5,0.9%), and 0.5% (0.4,0.7%) per 1 kg/m2, respectively. BMI at 60–79 years was also associated with total cholesterol and blood pressure. Associations for BMI at 40–59 years were mainly consistent with those of BMI at 60–79 years. None of the life course models fitted the data as well as the saturated model for serum insulin. A sensitive period at 50 years for glucose and HbA1c and sensitive period at 70 years for blood pressure were identified.
Conclusions: In this cohort of men who were thin compared to more contemporary cohorts, BMI in later life was the dominant influence on cardiovascular and diabetes risk. BMI in early adult life may have a small long-term effect on diabetes risk.
doi:10.1371/journal.pone.0114289
PMCID: PMC4256406  PMID: 25474626
6.  A Multi-Ethnic Meta-Analysis of Genome-Wide Association Studies in Over 100,000 Subjects Identifies 23 Fibrinogen-Associated Loci but no Strong Evidence of a Causal Association between Circulating Fibrinogen and Cardiovascular Disease 
Sabater-Lleal, Maria | Huang, Jie | Chasman, Daniel | Naitza, Silvia | Dehghan, Abbas | Johnson, Andrew D | Teumer, Alexander | Reiner, Alex P | Folkersen, Lasse | Basu, Saonli | Rudnicka, Alicja R | Trompet, Stella | Mälarstig, Anders | Baumert, Jens | Bis, Joshua C. | Guo, Xiuqing | Hottenga, Jouke J | Shin, So-Youn | Lopez, Lorna M | Lahti, Jari | Tanaka, Toshiko | Yanek, Lisa R | Oudot-Mellakh, Tiphaine | Wilson, James F | Navarro, Pau | Huffman, Jennifer E | Zemunik, Tatijana | Redline, Susan | Mehra, Reena | Pulanic, Drazen | Rudan, Igor | Wright, Alan F | Kolcic, Ivana | Polasek, Ozren | Wild, Sarah H | Campbell, Harry | Curb, J David | Wallace, Robert | Liu, Simin | Eaton, Charles B. | Becker, Diane M. | Becker, Lewis C. | Bandinelli, Stefania | Räikkönen, Katri | Widen, Elisabeth | Palotie, Aarno | Fornage, Myriam | Green, David | Gross, Myron | Davies, Gail | Harris, Sarah E | Liewald, David C | Starr, John M | Williams, Frances M.K. | Grant, P.J. | Spector, Timothy D. | Strawbridge, Rona J | Silveira, Angela | Sennblad, Bengt | Rivadeneira, Fernando | Uitterlinden, Andre G | Franco, Oscar H | Hofman, Albert | van Dongen, Jenny | Willemsen, G | Boomsma, Dorret I | Yao, Jie | Jenny, Nancy Swords | Haritunians, Talin | McKnight, Barbara | Lumley, Thomas | Taylor, Kent D | Rotter, Jerome I | Psaty, Bruce M | Peters, Annette | Gieger, Christian | Illig, Thomas | Grotevendt, Anne | Homuth, Georg | Völzke, Henry | Kocher, Thomas | Goel, Anuj | Franzosi, Maria Grazia | Seedorf, Udo | Clarke, Robert | Steri, Maristella | Tarasov, Kirill V | Sanna, Serena | Schlessinger, David | Stott, David J | Sattar, Naveed | Buckley, Brendan M | Rumley, Ann | Lowe, Gordon D | McArdle, Wendy L | Chen, Ming-Huei | Tofler, Geoffrey H | Song, Jaejoon | Boerwinkle, Eric | Folsom, Aaron R. | Rose, Lynda M. | Franco-Cereceda, Anders | Teichert, Martina | Ikram, M Arfan | Mosley, Thomas H | Bevan, Steve | Dichgans, Martin | Rothwell, Peter M. | Sudlow, Cathie L M | Hopewell, Jemma C. | Chambers, John C. | Saleheen, Danish | Kooner, Jaspal S. | Danesh, John | Nelson, Christopher P | Erdmann, Jeanette | Reilly, Muredach P. | Kathiresan, Sekar | Schunkert, Heribert | Morange, Pierre-Emmanuel | Ferrucci, Luigi | Eriksson, Johan G | Jacobs, David | Deary, Ian J | Soranzo, Nicole | Witteman, Jacqueline CM | de Geus, Eco JC | Tracy, Russell P. | Hayward, Caroline | Koenig, Wolfgang | Cucca, Francesco | Jukema, J Wouter | Eriksson, Per | Seshadri, Sudha | Markus, Hugh S. | Watkins, Hugh | Samani, Nilesh J | Wallaschofski, Henri | Smith, Nicholas L. | Tregouet, David | Ridker, Paul M. | Tang, Weihong | Strachan, David P. | Hamsten, Anders | O’Donnell, Christopher J.
Circulation  2013;128(12):10.1161/CIRCULATIONAHA.113.002251.
Background
Estimates of the heritability of plasma fibrinogen concentration, an established predictor of cardiovascular disease (CVD), range from 34 to 50%. Genetic variants so far identified by genome-wide association (GWA) studies only explain a small proportion (< 2%) of its variation.
Methods and Results
We conducted a meta-analysis of 28 GWA studies, including more than 90,000 subjects of European ancestry, the first GWA meta-analysis of fibrinogen levels in 7 African Americans studies totaling 8,289 samples, and a GWA study in Hispanic-Americans totaling 1,366 samples. Evaluation for association of SNPs with clinical outcomes included a total of 40,695 cases and 85,582 controls for coronary artery disease (CAD), 4,752 cases and 24,030 controls for stroke, and 3,208 cases and 46,167 controls for venous thromboembolism (VTE). Overall, we identified 24 genome-wide significant (P<5×10−8) independent signals in 23 loci, including 15 novel associations, together accounting for 3.7% of plasma fibrinogen variation. Gene-set enrichment analysis highlighted key roles in fibrinogen regulation for the three structural fibrinogen genes and pathways related to inflammation, adipocytokines and thyrotrophin-releasing hormone signaling. Whereas lead SNPs in a few loci were significantly associated with CAD, the combined effect of all 24 fibrinogen-associated lead SNPs was not significant for CAD, stroke or VTE.
Conclusion
We identify 23 robustly associated fibrinogen loci, 15 of which are new. Clinical outcome analysis of these loci does not support a causal relationship between circulating levels of fibrinogen and CAD, stroke or VTE.
doi:10.1161/CIRCULATIONAHA.113.002251
PMCID: PMC3842025  PMID: 23969696
Fibrinogen; cardiovascular disease; genome-wide association study
7.  Regular Breakfast Consumption and Type 2 Diabetes Risk Markers in 9- to 10-Year-Old Children in the Child Heart and Health Study in England (CHASE): A Cross-Sectional Analysis 
PLoS Medicine  2014;11(9):e1001703.
Angela Donin and colleagues evaluated the association between breakfast consumption and composition and risk markers for diabetes and cardiovascular disease in 9- and 10-year-olds.
Please see later in the article for the Editors' Summary
Background
Regular breakfast consumption may protect against type 2 diabetes risk in adults but little is known about its influence on type 2 diabetes risk markers in children. We investigated the associations between breakfast consumption (frequency and content) and risk markers for type 2 diabetes (particularly insulin resistance and glycaemia) and cardiovascular disease in children.
Methods and Findings
We conducted a cross-sectional study of 4,116 UK primary school children aged 9–10 years. Participants provided information on breakfast frequency, had measurements of body composition, and gave fasting blood samples for measurements of blood lipids, insulin, glucose, and glycated haemoglobin (HbA1c). A subgroup of 2,004 children also completed a 24-hour dietary recall. Among 4,116 children studied, 3,056 (74%) ate breakfast daily, 450 (11%) most days, 372 (9%) some days, and 238 (6%) not usually. Graded associations between breakfast frequency and risk markers were observed; children who reported not usually having breakfast had higher fasting insulin (percent difference 26.4%, 95% CI 16.6%–37.0%), insulin resistance (percent difference 26.7%, 95% CI 17.0%–37.2%), HbA1c (percent difference 1.2%, 95% CI 0.4%–2.0%), glucose (percent difference 1.0%, 95% CI 0.0%–2.0%), and urate (percent difference 6%, 95% CI 3%–10%) than those who reported having breakfast daily; these differences were little affected by adjustment for adiposity, socioeconomic status, and physical activity levels. When the higher levels of triglyceride, systolic blood pressure, and C-reactive protein for those who usually did not eat breakfast relative to those who ate breakfast daily were adjusted for adiposity, the differences were no longer significant. Children eating a high fibre cereal breakfast had lower insulin resistance than those eating other breakfast types (p for heterogeneity <0.01). Differences in nutrient intakes between breakfast frequency groups did not account for the differences in type 2 diabetes markers.
Conclusions
Children who ate breakfast daily, particularly a high fibre cereal breakfast, had a more favourable type 2 diabetes risk profile. Trials are needed to quantify the protective effect of breakfast on emerging type 2 diabetes risk.
Please see later in the article for the Editors' Summary
Editors' Summary
Background
Worldwide, more than 380 million people have diabetes, a disorder that is characterized by high levels of glucose (sugar) in the blood. Blood sugar levels are usually controlled by insulin, a hormone released by the pancreas after meals (digestion of food produces glucose). In people with type 2 diabetes (the commonest type of diabetes) blood sugar control fails because the fat and muscle cells that normally respond to insulin become insulin resistant. Type 2 diabetes can often be controlled initially with diet and exercise and with drugs such as metformin and sulfonylureas. However, many patients eventually need insulin injections to control their blood sugar levels. Long-term complications of diabetes, which include an increased risk of heart disease and stroke (cardiovascular disease), reduce the life expectancy of people with diabetes by about 10 years compared to people without diabetes. Risk factors for the condition include being over 40 years old and being overweight or obese.
Why Was This Study Done?
Experts predict that by 2035 nearly 600 million people will have diabetes so better strategies to prevent diabetes are urgently needed. Eating breakfast regularly—particularly a high fiber, cereal-based breakfast—has been associated with a reduced risk of type 2 diabetes (and a reduced risk of being overweight or obese) in adults. However, little is known about whether breakfast eating habits affect markers of type 2 diabetes risk in children. In this cross-sectional study (an observational investigation that studies a group of individuals at a single time point), the researchers examine the associations between breakfast consumption (both frequency and content) and risk markers for type 2 diabetes, particularly insulin resistance and glycemia (the presence of sugar in the blood), in an ethnically mixed population of children; insulin resistance and glycemia measurements in children provide important information about diabetes development later in life.
What Did the Researchers Do and Find?
The researchers invited 9–10 year old children attending 200 schools in London, Birmingham, and Leicester to participate in the Child Heart and Health Study in England (CHASE), a study examining risk factors for cardiovascular disease and type 2 diabetes in children of South Asian, black African-Caribbean, and white European origin. The researchers measured the body composition of the study participants and the levels of insulin, glucose, and other markers of diabetes risk in fasting blood samples (blood taken from the children 8–10 hours after their last meal or drink). All the participants (4,116 children) reported how often they ate breakfast; 2,004 children also completed a 24-hour dietary recall questionnaire. Seventy-four percent of the children reported that they ate breakfast every day, 11% and 9% reported that they ate breakfast most days and some days, respectively, whereas 6% reported that they rarely ate breakfast. Children who ate breakfast infrequently had higher fasting insulin levels and higher insulin resistance than children who ate breakfast every day. Moreover, the children who ate a high fiber, cereal-based breakfast had lower insulin resistance than children who ate other types of breakfast such as low fiber or toast-based breakfasts.
What Do These Findings Mean?
These findings indicate that children who ate breakfast every day, particularly those who ate a high fiber breakfast, had lower levels of risk markers for type 2 diabetes than children who rarely ate breakfast. Importantly, the association between eating breakfast and having a favorable type 2 diabetes risk profile remained after allowing for differences in socioeconomic status, physical activity levels, and amount of body fat (adiposity); in observational studies, it is important to allow for the possibility that individuals who share a measured characteristic and a health outcome also share another characteristic (a confounder) that is actually responsible for the outcome. Although trials are needed to establish whether altering the breakfast habits of children can alter their risk of developing type 2 diabetes, these findings are encouraging. Specifically, they suggest that if all the children in England who do not eat breakfast daily could be encouraged to do so, it might reduce population-wide fasting insulin levels by about 4%. Moreover, encouraging children to eat a high fiber breakfast instead of a low fiber breakfast might reduce population-wide fasting insulin levels by 11%–12%. Thus, persuading children to eat a high fiber breakfast regularly could be an important component in diabetes preventative strategies in England and potentially worldwide.
Additional Information
Please access these websites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001703.
The US National Diabetes Information Clearinghouse provides information about diabetes for patients, health-care professionals, and the general public, including detailed information on diabetes prevention (in English and Spanish)
The UK National Health Service Choices website provides information for patients and carers about type 2 diabetes and about living with diabetes; it also provides people's stories about diabetes; Change4Life, a UK campaign that provides tips for healthy living, has a webpage about the importance of a healthy breakfast
The charity Diabetes UK provides detailed information for patients and carers in several languages, including information on healthy lifestyles for people with diabetes
The UK-based non-profit organization Healthtalkonline has interviews with people about their experiences of diabetes
MedlinePlus provides links to further resources and advice about diabetes and diabetes prevention (in English and Spanish)
Kidshealth, a US-based not-for-profit organization provides information for parents about the importance of breakfast and information for children
More information about the Child Heart and Health Study in England (CHASE) is available
doi:10.1371/journal.pmed.1001703
PMCID: PMC4151989  PMID: 25181492
8.  Influence of Adiposity on Insulin Resistance and Glycemia Markers Among U.K. Children of South Asian, Black African-Caribbean, and White European Origin 
Diabetes Care  2013;36(6):1712-1719.
OBJECTIVE
Ethnic differences in type 2 diabetes risk between South Asians and white Europeans originate before adult life and are not fully explained by higher adiposity levels in South Asians. Although metabolic sensitivity to adiposity may differ between ethnic groups, this has been little studied in childhood. We have therefore examined the associations among adiposity, insulin resistance, and glycemia markers in children of different ethnic origins.
RESEARCH DESIGN AND METHODS
Cross-sectional study of 4,633 9- to 10-year-old children (response rate 68%) predominantly of South Asian, black African-Caribbean, and white European origin (n = 1,266, 1,176, and 1,109, respectively) who had homeostasis model assessments of insulin resistance (HOMA-IR), glycemia markers (HbA1c and fasting glucose), and adiposity (BMI, waist circumference, skinfold thicknesses, and bioimpedance [fat mass]).
RESULTS
All adiposity measures were positively associated with HOMA-IR in all ethnic groups, but associations were stronger among South Asians compared to black African-Caribbeans and white Europeans. For a 1-SD increase in fat mass percentage, percentage differences in HOMA-IR were 37.5% (95% CI 33.3–41.7), 29.7% (25.8–33.8), and 27.0% (22.9–31.2), respectively (P interaction < 0.001). All adiposity markers were positively associated with HbA1c in South Asians and black African-Caribbeans but not in white Europeans; for a 1-SD increase in fat mass percentage, percentage differences in HbA1c were 0.04% (95% CI 0.03–0.06), 0.04% (0.02–0.05), and 0.02% (−0.00 to 0.04), respectively (P interaction < 0.001). Patterns for fasting glucose were less consistent.
CONCLUSIONS
South Asian children are more metabolically sensitive to adiposity. Early prevention or treatment of childhood obesity may be critical for type 2 diabetes prevention, especially in South Asians.
doi:10.2337/dc12-1726
PMCID: PMC3661837  PMID: 23315600
9.  DIETARY ENERGY INTAKE IS ASSOCIATED WITH TYPE 2 DIABETES RISK MARKERS IN CHILDREN 
Diabetes care  2013;37(1):116-123.
Objective
Energy intake, energy density and nutrient intakes are implicated in type 2 diabetes risk in adults, but little is known about their influence on emerging type 2 diabetes risk in childhood. We examined these associations in a multi-ethnic population of children.
Research Design and Methods
Cross-sectional study of 2017 children predominantly of white European, South Asian and black African-Caribbean origin aged 9-10 years who had a detailed 24 hour dietary recall, measurements of body composition and provided a fasting blood sample for measurements of plasma glucose, HbA1c and serum insulin; HOMA insulin resistance was also derived.
Results
Energy intake was positively associated with insulin resistance. After the removal of 176 participants with implausible energy intakes (unlikely to be representative of habitual intake), energy intake was more strongly associated with insulin resistance, and was also associated with glucose and fat mass index. Energy density was also positively associated with insulin resistance and fat mass index. However, in mutually adjusted analyses, the associations for energy intake remained while those for energy density became non-significant. Individual nutrient intakes showed no associations with type 2 diabetes risk markers.
Conclusions
Higher total energy intake was strongly associated with high levels of insulin resistance and may help to explain emerging type 2 diabetes risk in childhood. Studies are needed to establish whether reducing energy intake produces sustained favourable changes in insulin resistance and circulating glucose levels.
doi:10.2337/dc13-1263
PMCID: PMC3966263  PMID: 23939542
10.  Are Ethnic and Gender Specific Equations Needed to Derive Fat Free Mass from Bioelectrical Impedance in Children of South Asian, Black African-Caribbean and White European Origin? Results of the Assessment of Body Composition in Children Study 
PLoS ONE  2013;8(10):e76426.
Background
Bioelectrical impedance analysis (BIA) is a potentially valuable method for assessing lean mass and body fat levels in children from different ethnic groups. We examined the need for ethnic- and gender-specific equations for estimating fat free mass (FFM) from BIA in children from different ethnic groups and examined their effects on the assessment of ethnic differences in body fat.
Methods
Cross-sectional study of children aged 8–10 years in London Primary schools including 325 South Asians, 250 black African-Caribbeans and 289 white Europeans with measurements of height, weight and arm-leg impedance (Z; Bodystat 1500). Total body water was estimated from deuterium dilution and converted to FFM. Multilevel models were used to derive three types of equation {A: FFM = linear combination(height+weight+Z); B: FFM = linear combination(height2/Z); C: FFM = linear combination(height2/Z+weight)}.
Results
Ethnicity and gender were important predictors of FFM and improved model fit in all equations. The models of best fit were ethnicity and gender specific versions of equation A, followed by equation C; these provided accurate assessments of ethnic differences in FFM and FM. In contrast, the use of generic equations led to underestimation of both the negative South Asian-white European FFM difference and the positive black African-Caribbean-white European FFM difference (by 0.53 kg and by 0.73 kg respectively for equation A). The use of generic equations underestimated the positive South Asian-white European difference in fat mass (FM) and overestimated the positive black African-Caribbean-white European difference in FM (by 4.7% and 10.1% respectively for equation A). Consistent results were observed when the equations were applied to a large external data set.
Conclusions
Ethnic- and gender-specific equations for predicting FFM from BIA provide better estimates of ethnic differences in FFM and FM in children, while generic equations can misrepresent these ethnic differences.
doi:10.1371/journal.pone.0076426
PMCID: PMC3799736  PMID: 24204625
11.  Prevalence of overweight, obesity and thinness in 9–10 year old children in Mauritius 
Objective
To document the prevalence of overweight, obesity and thinness in 9–10 year old children in Mauritius.
Methods
412 boys and 429 girls aged 9–10 years from 23 primary schools were selected using stratified cluster random sampling. All data was cross-sectional and collected via anthropometry and self-administered questionnaire. Outcome measures were BMI (kg/m2), prevalence of overweight, obesity (International Obesity Task Force definitions) and thinness (low BMI for age). Linear and logistic regression analyses, accounting for clustering at the school level, were used to assess associations between gender, ethnicity, school location, and school's academic performance (average) to each outcome measure.
Results
The distribution of BMI was marginally skewed with a more pronounced positive tail in the girls. Median BMI was 15.6 kg/m2 in boys and 15.4 kg/m2 in girls, respectively. In boys, prevalence of overweight was 15.8% (95% CI: 12.6, 19.6), prevalence of obesity 4.9% (95% CI: 3.2, 7.4) and prevalence of thinness 12.4% (95% CI: 9.5, 15.9). Among girls, 18.9% (95% CI: 15.5, 22.9) were overweight, 5.1% (95% CI: 3.4, 7.7) were obese and 13.1% (95% CI: 10.2, 16.6) were thin. Urban children had a slightly higher mean BMI than rural children (0.5 kg/m2, 95% CI: 0.01, 1.00) and were nearly twice as likely to be obese (6.7% vs. 4.0%; adjusted odds ratio 1.6; 95% CI: 0.9, 3.5). Creole children were less likely to be classified as thin compared to Indian children (adjusted odds ratio 0.3, 95% CI: 0.2, 0.6).
Conclusion
Mauritius is currently in the midst of nutritional transition with both a high prevalence of overweight and thinness in children aged 9–10 years. The coexistence of children representing opposite sides of the energy balance equation presents a unique challenge for policy and interventions. Further exploration is needed to understand the specific causes of the double burden of malnutrition and to make appropriate policy recommendations.
doi:10.1186/1744-8603-8-28
PMCID: PMC3477059  PMID: 22823949
Body mass index; Children; Mauritius; Obesity; Thinness
12.  Family dog ownership and levels of physical activity in childhood: findings from the Child Heart And health Study in England (CHASE) 
American journal of public health  2010;100(9):1669-1671.
Dog ownership is associated with higher levels of physical activity in adults; whether this association occurs in children is unknown. We examined objectively assessed levels of physical activity (using accelerometry) in 2065 children aged 9-10 years. Children from dog-owning families spent more time in light, moderate-vigorous physical activity, and recorded higher levels of activity counts-per-minute (25, 95%CI 6-44), and steps (357, 95%CI 14-701) per day than those who did not. Children living with pet-dogs are slightly more active, though the precise reasons have still to be established.
doi:10.2105/AJPH.2009.188193
PMCID: PMC2920992  PMID: 20634441
Dog ownership; physical activity; children
13.  Genome-wide association and large scale follow-up identifies 16 new loci influencing lung function 
Artigas, María Soler | Loth, Daan W | Wain, Louise V | Gharib, Sina A | Obeidat, Ma’en | Tang, Wenbo | Zhai, Guangju | Zhao, Jing Hua | Smith, Albert Vernon | Huffman, Jennifer E | Albrecht, Eva | Jackson, Catherine M | Evans, David M | Cadby, Gemma | Fornage, Myriam | Manichaikul, Ani | Lopez, Lorna M | Johnson, Toby | Aldrich, Melinda C | Aspelund, Thor | Barroso, Inês | Campbell, Harry | Cassano, Patricia A | Couper, David J | Eiriksdottir, Gudny | Franceschini, Nora | Garcia, Melissa | Gieger, Christian | Gislason, Gauti Kjartan | Grkovic, Ivica | Hammond, Christopher J | Hancock, Dana B | Harris, Tamara B | Ramasamy, Adaikalavan | Heckbert, Susan R | Heliövaara, Markku | Homuth, Georg | Hysi, Pirro G | James, Alan L | Jankovic, Stipan | Joubert, Bonnie R | Karrasch, Stefan | Klopp, Norman | Koch, Beate | Kritchevsky, Stephen B | Launer, Lenore J | Liu, Yongmei | Loehr, Laura R | Lohman, Kurt | Loos, Ruth JF | Lumley, Thomas | Al Balushi, Khalid A | Ang, Wei Q | Barr, R Graham | Beilby, John | Blakey, John D | Boban, Mladen | Boraska, Vesna | Brisman, Jonas | Britton, John R | Brusselle, Guy G | Cooper, Cyrus | Curjuric, Ivan | Dahgam, Santosh | Deary, Ian J | Ebrahim, Shah | Eijgelsheim, Mark | Francks, Clyde | Gaysina, Darya | Granell, Raquel | Gu, Xiangjun | Hankinson, John L | Hardy, Rebecca | Harris, Sarah E | Henderson, John | Henry, Amanda | Hingorani, Aroon D | Hofman, Albert | Holt, Patrick G | Hui, Jennie | Hunter, Michael L | Imboden, Medea | Jameson, Karen A | Kerr, Shona M | Kolcic, Ivana | Kronenberg, Florian | Liu, Jason Z | Marchini, Jonathan | McKeever, Tricia | Morris, Andrew D | Olin, Anna-Carin | Porteous, David J | Postma, Dirkje S | Rich, Stephen S | Ring, Susan M | Rivadeneira, Fernando | Rochat, Thierry | Sayer, Avan Aihie | Sayers, Ian | Sly, Peter D | Smith, George Davey | Sood, Akshay | Starr, John M | Uitterlinden, André G | Vonk, Judith M | Wannamethee, S Goya | Whincup, Peter H | Wijmenga, Cisca | Williams, O Dale | Wong, Andrew | Mangino, Massimo | Marciante, Kristin D | McArdle, Wendy L | Meibohm, Bernd | Morrison, Alanna C | North, Kari E | Omenaas, Ernst | Palmer, Lyle J | Pietiläinen, Kirsi H | Pin, Isabelle | Polašek, Ozren | Pouta, Anneli | Psaty, Bruce M | Hartikainen, Anna-Liisa | Rantanen, Taina | Ripatti, Samuli | Rotter, Jerome I | Rudan, Igor | Rudnicka, Alicja R | Schulz, Holger | Shin, So-Youn | Spector, Tim D | Surakka, Ida | Vitart, Veronique | Völzke, Henry | Wareham, Nicholas J | Warrington, Nicole M | Wichmann, H-Erich | Wild, Sarah H | Wilk, Jemma B | Wjst, Matthias | Wright, Alan F | Zgaga, Lina | Zemunik, Tatijana | Pennell, Craig E | Nyberg, Fredrik | Kuh, Diana | Holloway, John W | Boezen, H Marike | Lawlor, Debbie A | Morris, Richard W | Probst-Hensch, Nicole | Kaprio, Jaakko | Wilson, James F | Hayward, Caroline | Kähönen, Mika | Heinrich, Joachim | Musk, Arthur W | Jarvis, Deborah L | Gläser, Sven | Järvelin, Marjo-Riitta | Stricker, Bruno H Ch | Elliott, Paul | O’Connor, George T | Strachan, David P | London, Stephanie J | Hall, Ian P | Gudnason, Vilmundur | Tobin, Martin D
Nature Genetics  2011;43(11):1082-1090.
Pulmonary function measures reflect respiratory health and predict mortality, and are used in the diagnosis of chronic obstructive pulmonary disease (COPD). We tested genome-wide association with the forced expiratory volume in 1 second (FEV1) and the ratio of FEV1 to forced vital capacity (FVC) in 48,201 individuals of European ancestry, with follow-up of top associations in up to an additional 46,411 individuals. We identified new regions showing association (combined P<5×10−8) with pulmonary function, in or near MFAP2, TGFB2, HDAC4, RARB, MECOM (EVI1), SPATA9, ARMC2, NCR3, ZKSCAN3, CDC123, C10orf11, LRP1, CCDC38, MMP15, CFDP1, and KCNE2. Identification of these 16 new loci may provide insight into the molecular mechanisms regulating pulmonary function and into molecular targets for future therapy to alleviate reduced lung function.
doi:10.1038/ng.941
PMCID: PMC3267376  PMID: 21946350
14.  Cardiometabolic Risk Markers in Indian Children: Comparison with UK Indian and White European Children 
PLoS ONE  2012;7(4):e36236.
Objective
UK Indian adults have higher risks of coronary heart disease and type 2 diabetes than Indian and UK European adults. With growing evidence that these diseases originate in early life, we compared cardiometabolic risk markers in Indian, UK Indian and white European children.
Methods
Comparisons were based on the Mysore Parthenon Birth Cohort Study (MPBCS), India and the Child Heart Health Study in England (CHASE), which studied 9–10 year-old children (538 Indian, 483 UK Indian, 1375 white European) using similar methods. Analyses adjusted for study differences in age and sex.
Results
Compared with Mysore Indians, UK Indians had markedly higher BMI (% difference 21%, 95%CI 18 to 24%), skinfold thickness (% difference 34%, 95%CI 26 to 42%), LDL-cholesterol (mean difference 0.48, 95%CI 0.38 to 0.57 mmol/L), systolic BP (mean difference 10.3, 95% CI 8.9 to 11.8 mmHg) and fasting insulin (% difference 145%, 95%CI 124 to 168%). These differences (similar in both sexes and little affected by adiposity adjustment) were larger than those between UK Indians and white Europeans. Compared with white Europeans, UK Indians had higher skinfold thickness (% difference 6.0%, 95%CI 1.5 to 10.7%), fasting insulin (% difference 31%, 95%CI 22 to 40%), triglyceride (% difference 13%, 95%CI 8 to 18%) and LDL-cholesterol (mean difference 0.12 mmol/L, 95%CI 0.04 to 0.19 mmol/L).
Conclusions
UK Indian children have an adverse cardiometabolic risk profile, especially compared to Indian children. These differences, not simply reflecting greater adiposity, emphasize the need for prevention strategies starting in childhood or earlier.
doi:10.1371/journal.pone.0036236
PMCID: PMC3338673  PMID: 22558399
15.  Visual Acuity Measures Do Not Reliably Detect Childhood Refractive Error - an Epidemiological Study 
PLoS ONE  2012;7(3):e34441.
Purpose
To investigate the utility of uncorrected visual acuity measures in screening for refractive error in white school children aged 6-7-years and 12-13-years.
Methods
The Northern Ireland Childhood Errors of Refraction (NICER) study used a stratified random cluster design to recruit children from schools in Northern Ireland. Detailed eye examinations included assessment of logMAR visual acuity and cycloplegic autorefraction. Spherical equivalent refractive data from the right eye were used to classify significant refractive error as myopia of at least 1DS, hyperopia as greater than +3.50DS and astigmatism as greater than 1.50DC, whether it occurred in isolation or in association with myopia or hyperopia.
Results
Results are presented from 661 white 12-13-year-old and 392 white 6-7-year-old school-children. Using a cut-off of uncorrected visual acuity poorer than 0.20 logMAR to detect significant refractive error gave a sensitivity of 50% and specificity of 92% in 6-7-year-olds and 73% and 93% respectively in 12-13-year-olds. In 12-13-year-old children a cut-off of poorer than 0.20 logMAR had a sensitivity of 92% and a specificity of 91% in detecting myopia and a sensitivity of 41% and a specificity of 84% in detecting hyperopia.
Conclusions
Vision screening using logMAR acuity can reliably detect myopia, but not hyperopia or astigmatism in school-age children. Providers of vision screening programs should be cognisant that where detection of uncorrected hyperopic and/or astigmatic refractive error is an aspiration, current UK protocols will not effectively deliver.
doi:10.1371/journal.pone.0034441
PMCID: PMC3314634  PMID: 22470571
16.  Socio-Economic Position and Type 2 Diabetes Risk Factors: Patterns in UK Children of South Asian, Black African-Caribbean and White European Origin 
PLoS ONE  2012;7(3):e32619.
Background
Socio-economic position (SEP) and ethnicity influence type 2 diabetes mellitus (T2DM) risk in adults. However, the influence of SEP on emerging T2DM risks in different ethnic groups and the contribution of SEP to ethnic differences in T2DM risk in young people have been little studied. We examined the relationships between SEP and T2DM risk factors in UK children of South Asian, black African-Caribbean and white European origin, using the official UK National Statistics Socio-economic Classification (NS-SEC) and assessed the extent to which NS-SEC explained ethnic differences in T2DM risk factors.
Methods and Findings
Cross-sectional school-based study of 4,804 UK children aged 9–10 years, including anthropometry and fasting blood analytes (response rates 70%, 68% and 58% for schools, individuals and blood measurements). Assessment of SEP was based on parental occupation defined using NS-SEC and ethnicity on parental self-report. Associations between NS-SEC and adiposity, insulin resistance (IR) and triglyceride differed between ethnic groups. In white Europeans, lower NS-SEC status was related to higher ponderal index (PI), fat mass index, IR and triglyceride (increases per NS-SEC decrement [95%CI] were 1.71% [0.75, 2.68], 4.32% [1.24, 7.48], 5.69% [2.01, 9.51] and 3.17% [0.96, 5.42], respectively). In black African-Caribbeans, lower NS-SEC was associated with lower PI (−1.12%; [−2.01, −0.21]), IR and triglyceride, while in South Asians there were no consistent associations between NS-SEC and T2DM risk factors. Adjustment for NS-SEC did not appear to explain ethnic differences in T2DM risk factors, which were particularly marked in high NS-SEC groups.
Conclusions
SEP is associated with T2DM risk factors in children but patterns of association differ by ethnic groups. Consequently, ethnic differences (which tend to be largest in affluent socio-economic groups) are not explained by NS-SEC. This suggests that strategies aimed at reducing social inequalities in T2DM risk are unlikely to reduce emerging ethnic differences in T2DM risk.
doi:10.1371/journal.pone.0032619
PMCID: PMC3296720  PMID: 22412897
17.  The estimated prevalence and incidence of late stage age related macular degeneration in the UK 
Background
UK estimates of age related macular degeneration (AMD) occurrence vary.
Aims
To estimate prevalence, number and incidence of AMD by type in the UK population aged ≥50 years.
Methods
Age-specific prevalence rates of AMD obtained from a Bayesian meta-analysis of AMD prevalence were applied to UK 2007–2009 population data. Incidence was estimated from modelled age-specific prevalence.
Results
Overall prevalence of late AMD was 2.4% (95% credible interval (CrI) 1.7% to 3.3%), equivalent to 513 000 cases (95% CrI 363 000 to 699 000); estimated to increase to 679 000 cases by 2020. Prevalences were 4.8% aged ≥65 years, 12.2% aged ≥80 years. Geographical atrophy (GA) prevalence rates were 1.3% (95% CrI 0.9% to 1.9%), 2.6% (95% CrI 1.8% to 3.7%) and 6.7% (95% CrI 4.6% to 9.6%); neovascular AMD (NVAMD) 1.2% (95% CrI 0.9% to 1.7%), 2.5% (95% CrI 1.8% to 3.4%) and 6.3% (95% CrI 4.5% to 8.6%), respectively. The estimated number of prevalent cases of late AMD were 60% higher in women versus men (314 000 cases in women, 192 000 men). Annual incidence of late AMD, GA and NVAMD per 1000 women was 4.1 (95% CrI 2.4% to 6.8%), 2.4 (95% CrI 1.5% to 3.9%) and 2.3 (95% CrI 1.4% to 4.0%); in men 2.6 (95% CrI 1.5% to 4.4%), 1.7 (95% CrI 1.0% to 2.8%) and 1.4 (95% CrI 0.8% to 2.4%), respectively. 71 000 new cases of late AMD were estimated per year.
Conclusions
These estimates will guide health and social service provision for those with late AMD and enable estimation of the cost of introducing new treatments.
doi:10.1136/bjophthalmol-2011-301109
PMCID: PMC3329633  PMID: 22329913
Prevalence; incidence; AMD; UK; epidemiology; clinical trial
18.  Travel to School and Physical Activity Levels in 9–10 Year-Old UK Children of Different Ethnic Origin; Child Heart and Health Study in England (CHASE) 
PLoS ONE  2012;7(2):e30932.
Background
Travel to school may offer a convenient way to increase physical activity levels in childhood. We examined the association between method of travel to school and physical activity levels in urban multi-ethnic children.
Methods and Findings
2035 children (aged 9–10 years in 2006–7) provided data on their usual method of travel to school and wore an Actigraph-GT1M activity monitor during waking hours. Associations between method of travel and mean level of physical activity (counts per minute [CPM], steps, time spent in light, moderate or vigorous activity per day) were examined in models adjusted for confounding variables. 1393 children (69%) walked or cycled to school; 161 (8%) used public transport and 481 (24%) travelled by car. White European children were more likely to walk/cycle, black African Caribbeans to travel by public transport and South Asian children to travel by car. Children travelling by car spent less time in moderate to vigorous physical activity (−7 mins, 95%CI-9,-5), and had lower CPM (−32 CPM, 95%CI-44,-19) and steps per day (−813 steps, 95%CI,-1043,-582) than walkers/cyclists. Pupils travelling by public transport had similar activity levels to walkers/cyclists. Lower physical activity levels amongst car travellers' were especially marked at travelling times (school days between 8–9 am, 3–5 pm), but were also evident on weekdays at other times and at weekends; they did not differ by gender or ethnic group.
Conclusion
Active travel to school is associated with higher levels of objectively measured physical activity, particularly during periods of travel but also at other times. If children travelling by car were to achieve physical activity levels (steps) similar to children using active travel, they would increase their physical activity levels by 9%. However, the population increase would be a modest 2%, because of the low proportion of car travellers in this urban population.
doi:10.1371/journal.pone.0030932
PMCID: PMC3272007  PMID: 22319596
19.  Patterns of body size and adiposity among UK children of South Asian, black African–Caribbean and white European origin: Child Heart And health Study in England (CHASE Study) 
Background The objective of this study was to examine adiposity patterns in UK South Asian, black African–Caribbean and white European children using a range of adiposity markers. A cross-sectional survey in London, Birmingham and Leicester primary schools was conducted. Weight, height, waist circumference, skinfold thickness values (biceps, triceps, subscapular and suprailiac) were measured. Fat mass was derived from bioimpedance; optimally height-standardized indices were derived for all adiposity markers. Ethnic origin was based on parental self-report. Multilevel models were used to obtain adjusted means and ethnic differences adjusted for gender, age, month, observer and school (fitted as a random effect). A total of 5887 children aged 9–10 years participated (response rate 68%), including 1345 white Europeans, 1523 South Asians and 1570 black African–Caribbeans.
Results Compared with white Europeans, South Asians had a higher sum of all skinfolds and fat mass percentage, and their body mass index (BMI) was lower. South Asians were slightly shorter but use of optimally height-standardized indices did not materially affect these comparisons. At any given fat mass, BMI was lower in South Asians than white Europeans. In similar comparisons, black African–Caribbeans had a lower sum of all skinfolds but a higher fat mass percentage, and their BMI was higher. Black African–Caribbeans were markedly taller. Use of optimally height-standardized indices yielded markedly different findings; sum of skinfolds index was markedly lower, whereas fat mass index and weight-for-height index were similar. At any given fat mass, BMI was similar in black African–Caribbeans and white Europeans.
Conclusions UK South Asian children have higher adiposity levels and black African–Caribbeans have similar or lower adiposity levels when compared with white Europeans. However, these differences are not well represented by comparisons based on BMI, which systematically underestimates adiposity in South Asians, and in black African–Caribbeans it overestimates adiposity because of its association with height.
doi:10.1093/ije/dyq180
PMCID: PMC3043281  PMID: 21044977
Ethnicity; South Asian; African–Caribbean; adiposity; obesity; body mass index
20.  Retinal arteriolar tortuosity and cardiovascular risk factors in a multi-ethnic population study of 10 year old children; the Child Heart And health Study in England (CHASE) 
Objective
To examine the association between cardiovascular risk factors and retinal arteriolar tortuosity in a multiethnic child-population.
Methods
Cross sectional study of 986 UK primary-school children of South Asian, black African Caribbean, and white European origin aged 10-11 years. Anthropometric measurements and retinal imaging, were carried out and a fasting blood sample collected. Digital images of retinal arterioles were analysed using a validated semi-automated measure of tortuosity. Associations between tortuosity and cardiometabolic risk factors were analysed using multilevel linear regression, adjusted for gender, age, ethnicity, arteriole branch status, month and school.
Results
Levels of arteriolar tortuosity were similar in boys and girls, and in different ethnic groups. Retinal arteriolar tortuosity was positively associated with levels of triglyceride, total and LDL cholesterol, systolic and diastolic blood pressure. One standard deviation increases in these risk factors were associated with 3.7% (95% CI 1.2, 6.4%), 3.3% (0.9, 5.8%), 3.1% (0.6, 5.6%), 2.0% (−0.3, 4.2%) and 2.3% (0.1, 4.6%) increases in tortuosity respectively. Adiposity, insulin resistance and blood glucose showed no associations with tortuosity.
Conclusion
Established cardiovascular risk factors, strongly linked to coronary heart disease in adulthood, may influence retinal arteriolar tortuosity at the end of the first decade of life.
doi:10.1161/ATVBAHA.111.225219
PMCID: PMC3145146  PMID: 21659645
Retina; arteriolar tortuosity; cardiovascular risk
21.  Genetic predictors of fibrin D-dimer levels in healthy adults 
Circulation  2011;123(17):1864-1872.
Background
Fibrin fragment D-dimer is one of several peptides produced when cross-linked fibrin is degraded by plasmin, and is the most widely-used clinical marker of activated blood coagulation. To identity genetic loci influencing D-dimer levels, we performed the first large-scale, genome-wide association search.
Methods and Results
A genome-wide investigation of the genomic correlates of plasma D-dimer levels was conducted among 21,052 European-ancestry adults. Plasma levels of D-dimer were measured independently in each of 13 cohorts. Each study analyzed the association between ~2.6 million genotyped and imputed variants across the 22 autosomal chromosomes and natural-log transformed D-dimer levels using linear regression in additive genetic models adjusted for age and sex. Among all variants, 74 exceeded the genome-wide significance threshold and marked 3 regions. At 1p22, rs12029080 (p-value 6.4×10−52) was 46.0 kb upstream from F3, coagulation factor III (tissue factor). At 1q24, rs6687813 (p-value 2.4×10−14) was 79.7 kb downstream of F5, coagulation factor V. At 4q32, rs13109457 (p-value 2.9×10−18) was located between 2 fibrinogen genes: 10.4 kb downstream from FGG and 3.0 kb upstream from FGA. Variants were associated with a 0.099, 0.096, and 0.061 unit difference, respectively, in natural-log transformed D-dimer and together accounted for 1.8% of the total variance. When adjusted for non-synonymous substitutions in F5 and FGA loci known to be associated with D-dimer levels, there was no evidence of an additional association at either locus.
Conclusions
Three genes were associated with fibrin D-dimer levels, of which the F3 association was the strongest and has not been previously reported.
doi:10.1161/CIRCULATIONAHA.110.009480
PMCID: PMC3095913  PMID: 21502573
genome-wide variation; D-dimer; epidemiology; meta-analysis; thrombosis; hemostasis
22.  A Comprehensive Evaluation of Potential Lung Function Associated Genes in the SpiroMeta General Population Sample 
PLoS ONE  2011;6(5):e19382.
Rationale
Lung function measures are heritable traits that predict population morbidity and mortality and are essential for the diagnosis of chronic obstructive pulmonary disease (COPD). Variations in many genes have been reported to affect these traits, but attempts at replication have provided conflicting results. Recently, we undertook a meta-analysis of Genome Wide Association Study (GWAS) results for lung function measures in 20,288 individuals from the general population (the SpiroMeta consortium).
Objectives
To comprehensively analyse previously reported genetic associations with lung function measures, and to investigate whether single nucleotide polymorphisms (SNPs) in these genomic regions are associated with lung function in a large population sample.
Methods
We analysed association for SNPs tagging 130 genes and 48 intergenic regions (+/−10 kb), after conducting a systematic review of the literature in the PubMed database for genetic association studies reporting lung function associations.
Results
The analysis included 16,936 genotyped and imputed SNPs. No loci showed overall significant association for FEV1 or FEV1/FVC traits using a carefully defined significance threshold of 1.3×10−5. The most significant loci associated with FEV1 include SNPs tagging MACROD2 (P = 6.81×10−5), CNTN5 (P = 4.37×10−4), and TRPV4 (P = 1.58×10−3). Among ever-smokers, SERPINA1 showed the most significant association with FEV1 (P = 8.41×10−5), followed by PDE4D (P = 1.22×10−4). The strongest association with FEV1/FVC ratio was observed with ABCC1 (P = 4.38×10−4), and ESR1 (P = 5.42×10−4) among ever-smokers.
Conclusions
Polymorphisms spanning previously associated lung function genes did not show strong evidence for association with lung function measures in the SpiroMeta consortium population. Common SERPINA1 polymorphisms may affect FEV1 among smokers in the general population.
doi:10.1371/journal.pone.0019382
PMCID: PMC3098839  PMID: 21625484
23.  Family and home correlates of children's physical activity in a multi-ethnic population: the cross-sectional child heart and health study in england (CHASE) 
Background
The influence of the family and home environment on childhood physical activity (PA) and whether this differs between ethnic groups remains uncertain. This paper investigates associations between family and home factors and childhood PA in a multi-ethnic population and explores whether associations differ between ethnic groups.
Methods
Cross-sectional study of 9-10 year-old schoolchildren, in which PA was objectively measured by Actigraph GT1 M accelerometers for ≤7 days to estimate average activity counts per minute (CPM). Information on 11 family and home environmental factors were collected from questionnaires. Associations between these factors and CPM were quantified using multi-level linear regression. Interactions with ethnicity were explored using likelihood ratio tests.
Results
2071 children (mean ± SD age: 9.95 ± 0.38 years; 47.8% male) participated, including 25% white European, 28% black African-Caribbean, 24% South Asian, and 24% other ethnic origin. Family PA support and having a pet were associated with higher average CPM (adjusted mean difference: 6 (95%CI:1,10) and 13 (95%CI:3,23), respectively) while car ownership and having internet access at home were associated with lower average CPM (adjusted mean difference: -19 (95%CI:-30,-8) and -10 (95%CI:-19,0), respectively). These associations did not differ by ethnicity. Although the number of siblings showed no overall association with PA, there was some evidence of interaction with ethnicity (p for ethnicity interaction = 0.04, 0.05 in a fully-adjusted model); a positive significant association with number of siblings was observed in white Europeans (per sibling CPM difference 10.3 (95% CI 1.7, 18.9)) and a positive non-significant association was observed in black African-Caribbeans (per sibling CPM difference: 3.5 (-4.2, 11.2)) while a negative, non-significant association was observed in South Asians (per sibling CPM difference -6.0 (-15.5, 3.4)).
Conclusions
Some family and home environmental factors have modest associations with childhood PA and these are mostly similar across different ethnic groups. This suggests that targeting these factors in an intervention to promote PA would be relevant for children in different ethnic groups.
doi:10.1186/1479-5868-8-11
PMCID: PMC3050786  PMID: 21324105
24.  Ethnic and gender differences in physical activity levels among 9–10-year-old children of white European, South Asian and African–Caribbean origin: the Child Heart Health Study in England (CHASE Study) 
Background Ethnic differences in physical activity in children in the UK have not been accurately assessed. We made objective measurements of physical activity in 9–10-year-old British children of South Asian, black African–Caribbean and white European origin.
Methods Cross-sectional study of urban primary school children (2006–07). Actigraph-GT1M activity monitors were worn by 2071 children during waking hours on at least 1 full day. Ethnic differences in mean daily activity [counts, counts per minute of registered time (CPM) and steps] were adjusted for age, gender, day of week and month. Multilevel modelling allowed for repeated days within individual and clustering within school.
Results In white Europeans, mean daily counts, CPM and mean daily steps were 394 785, 498 and 10 220, respectively. South Asian and black Caribbean children recorded more registered time per day than white Europeans (34 and 36 min, respectively). Compared with white Europeans, South Asians recorded 18 789 fewer counts [95% confidence interval (CI) 6390–31 187], 41 fewer CPM 95% CI 26–57) and 905 fewer steps (95% CI 624–1187). Black African–Caribbeans recorded 25 359 more counts (95% CI 14 273–36 445), and similar CPM, but fewer steps than white Europeans. Girls recorded less activity than boys in all ethnic groups, with 74 782 fewer counts (95% CI 66 665–82 899), 84 fewer CPM (95% CI 74–95) and 1484 fewer steps (95% CI 1301–1668).
Conclusion British South Asian children have lower objectively measured physical activity levels than European whites and black African–Caribbeans.
doi:10.1093/ije/dyp176
PMCID: PMC2720395  PMID: 19377098
Ethnic differences; childhood; physical activity
25.  Genome-wide association study identifies five loci associated with lung function 
Repapi, Emmanouela | Sayers, Ian | Wain, Louise V | Burton, Paul R | Johnson, Toby | Obeidat, Ma’en | Zhao, Jing Hua | Ramasamy, Adaikalavan | Zhai, Guangju | Vitart, Veronique | Huffman, Jennifer E | Igl, Wilmar | Albrecht, Eva | Deloukas, Panos | Henderson, John | Granell, Raquel | McArdle, Wendy L | Rudnicka, Alicja R | Barroso, Inês | Loos, Ruth J F | Wareham, Nicholas J | Mustelin, Linda | Rantanen, Taina | Surakka, Ida | Imboden, Medea | Wichmann, H Erich | Grkovic, Ivica | Jankovic, Stipan | Zgaga, Lina | Hartikainen, Anna-Liisa | Peltonen, Leena | Gyllensten, Ulf | Johansson, Åsa | Zaboli, Ghazal | Campbell, Harry | Wild, Sarah H | Wilson, James F | Gläser, Sven | Homuth, Georg | Völzke, Henry | Mangino, Massimo | Soranzo, Nicole | Spector, Tim D | Polašek, Ozren | Rudan, Igor | Wright, Alan F | Heliövaara, Markku | Ripatti, Samuli | Pouta, Anneli | Naluai, Åsa Torinsson | Olin, Anna-Carin | Torén, Kjell | Cooper, Matthew N | James, Alan L | Palmer, Lyle J | Hingorani, Aroon D | Wannamethee, S Goya | Whincup, Peter H | Smith, George Davey | Ebrahim, Shah | McKeever, Tricia M | Pavord, Ian D | MacLeod, Andrew K | Morris, Andrew D | Porteous, David J | Cooper, Cyrus | Dennison, Elaine | Shaheen, Seif | Karrasch, Stefan | Schnabel, Eva | Schulz, Holger | Grallert, Harald | Bouatia-Naji, Nabila | Delplanque, Jérôme | Froguel, Philippe | Blakey, John D | Britton, John R | Morris, Richard W | Holloway, John W | Lawlor, Debbie A | Hui, Jennie | Nyberg, Fredrik | Jarvelin, Marjo-Riitta | Jackson, Cathy | Kähönen, Mika | Kaprio, Jaakko | Probst-Hensch, Nicole M | Koch, Beate | Hayward, Caroline | Evans, David M | Elliott, Paul | Strachan, David P | Hall, Ian P | Tobin, Martin D
Nature genetics  2009;42(1):36-44.
Pulmonary function measures are heritable traits that predict morbidity and mortality and define chronic obstructive pulmonary disease (COPD). We tested genome-wide association with forced expiratory volume in 1 s (FEV1) and the ratio of FEV1 to forced vital capacity (FVC) in the SpiroMeta consortium (n = 20,288 individuals of European ancestry). We conducted a meta-analysis of top signals with data from direct genotyping (n ≤ 32,184 additional individuals) and in silico summary association data from the CHARGE Consortium (n = 21,209) and the Health 2000 survey (n ≤ 883). We confirmed the reported locus at 4q31 and identified associations with FEV1 or FEV1/FVC and common variants at five additional loci: 2q35 in TNS1 (P = 1.11 × 10−12), 4q24 in GSTCD (2.18 × 10−23), 5q33 in HTR4 (P = 4.29 × 10−9), 6p21 in AGER (P = 3.07 × 10−15) and 15q23 in THSD4 (P = 7.24 × 10−15). mRNA analyses showed expression of TNS1, GSTCD, AGER, HTR4 and THSD4 in human lung tissue. These associations offer mechanistic insight into pulmonary function regulation and indicate potential targets for interventions to alleviate respiratory disease.
doi:10.1038/ng.501
PMCID: PMC2862965  PMID: 20010834

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