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1. Tracking physical activity using smart phone apps: assessing the ability of a current app and systematically collecting patient recommendations for future development

Author

Murphy, J, Uttamlal, T, Schmidtke, KA, Vlaev, I, Taylor, D, Ahmad, M, Alsters, S, Purkayastha, P, Scholtz, S, Ramezani, R, Ahmed, AR, Chahal, H, Darzi, A, and Blakemore, AIF

Subjects
Health Services and Systems, Public Health, Health Sciences, Clinical Trials and Supportive Activities, Obesity, Prevention, Clinical Research, Nutrition, Oral and gastrointestinal, Metabolic and endocrine, Cardiovascular, Stroke, Cancer, Good Health and Well Being, Adolescent, Adult, Aged, Data Collection, Exercise, Humans, Male, Middle Aged, Mobile Applications, Smartphone, United Kingdom, Young Adult, Physical activity monitoring, Smartphone app, Surgery, Information Systems, Clinical Sciences, Medical Informatics, Health services and systems
Abstract

BACKGROUND:Within the United Kingdom's National Health System (NHS), patients suffering from obesity may be provided with bariatric surgery. After receiving surgery many of these patients require further support to continue to lose more weight or to maintain a healthy weight. Remotely monitoring such patients' physical activity and other health-related variables could provide healthworkers with a more 'ecologically valid' picture of these patients' behaviours to then provide more personalised support. The current study assesses the feasibility of two smartphone apps to do so. In addition, the study looks at the barriers and facilitators patients experience to using these apps effectively. METHODS:Participants with a BMI > 35 kg/m2 being considered for and who had previously undergone bariatric surgery were recruited. Participants were asked to install two mobile phone apps. The 'Moves' app automatically tracked participants' physical activity and the 'WLCompanion' app prompted participants to set goals and input other health-related information. Then, to learn about participants' facilitators and barriers to using the apps, some participants were asked to complete a survey informed by the Theoretical Domains Framework. The data were analysed using regressions and descriptive statistics. RESULTS:Of the 494 participants originally enrolled, 274 participants data were included in the analyses about their activity pre- and/or post-bariatric surgery (ages 18-65, M = 44.02, SD ± 11.29). Further analyses were performed on those 36 participants whose activity was tracked both pre- and post-surgery. Participants' activity levels pre- and post-surgery did not differ. In addition, 54 participants' survey responses suggested that the main facilitator to their continued use of the Moves app was its automatic nature, and the main barrier was its battery drain. CONCLUSIONS:The current study tracked physical activity in patients considered for and who had previously undergone bariatric surgery. The results should be interpreted with caution because of the small number of participants whose data meet the inclusion criteria and the barriers participants encountered to using the apps. Future studies should take note of the barriers to develop more user-friendly apps. TRIAL REGISTRATION:ClinicalTrials.gov- NCT01365416 on the 3rd of June 2011.

Published
2020

2. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

Author

Couto Alves, A, De Silva, NMG, Karhunen, V, Sovio, U, Das, S, Taal, HR, Warrington, NM, Lewin, AM, Kaakinen, M, Cousminer, DL, Thiering, E, Timpson, NJ, Bond, TA, Lowry, E, Brown, CD, Estivill, X, Lindi, V, Bradfield, JP, Geller, F, Speed, D, Coin, LJM, Loh, M, Barton, SJ, Beilin, LJ, Bisgaard, H, Bønnelykke, K, Alili, R, Hatoum, IJ, Schramm, K, Cartwright, R, Charles, M, Salerno, V, Clément, K, Claringbould, AAJ, BIOS Consortium, van Duijn, CM, Moltchanova, E, Eriksson, JG, Elks, C, Feenstra, B, Flexeder, C, Franks, S, Frayling, TM, Freathy, RM, Elliott, P, Widén, E, Hakonarson, H, Hattersley, AT, Rodriguez, A, Banterle, M, Heinrich, J, Heude, B, Holloway, JW, Hofman, A, Hyppönen, E, Inskip, H, Kaplan, LM, Hedman, AK, Läärä, E, Prokisch, H, Grallert, H, Lakka, TA, Lawlor, DA, Melbye, M, Ahluwalia, TS, Marinelli, M, Millwood, IY, Palmer, LJ, Pennell, CE, Perry, JR, Ring, SM, Savolainen, MJ, Rivadeneira, F, Standl, M, Sunyer, J, Tiesler, CMT, Uitterlinden, AG, Schierding, W, O’Sullivan, JM, Prokopenko, I, Herzig, K, Smith, GD, O'Reilly, P, Felix, JF, Buxton, JL, Blakemore, AIF, Ong, KK, Jaddoe, VWV, Grant, SFA, Sebert, S, McCarthy, MI, Järvelin, M., and Early Growth Genetics (EGG) Consortium

Abstract

Copyright © 2019 The Authors. Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health. We found a robust overlap between the genetics of child and adult body mass index (BMI), with variants associated with adult BMI acting as early as 4 to 6 years old. However, we demonstrated a completely distinct genetic makeup for peak BMI during infancy, influenced by variation at the LEPR/LEPROT locus. These findings suggest that different genetic factors control infant and child BMI. In light of the obesity epidemic, these findings are important to inform the timing and targets of prevention strategies.

Published
2019

4. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

Author

Alves, AC, De Silva, NMG, Karhunen, V, Sovio, U, Das, S, Taal, HR, Warrington, NM, Lewin, AM, Kaakinen, M, Cousminer, DL, Thiering, E, Timpson, NJ, Bond, TA, Lowry, E, Brown, CD, Estivill, X, Lindi, V, Bradfield, JP, Geller, F, Speed, D, Coin, LJM, Loh, M, Barton, SJ, Beilin, LJ, Bisgaard, H, Bonnelykke, K, Alili, R, Hatoum, IJ, Schramm, K, Cartwright, R, Charles, M-A, Salerno, V, Clement, K, Claringbould, AAJ, van Duijn, CM, Moltchanova, E, Eriksson, JG, Elks, C, Feenstra, B, Flexeder, C, Franks, S, Frayling, TM, Freathy, RM, Elliott, P, Widen, E, Hakonarson, H, Hattersley, AT, Rodriguez, A, Banterle, M, Heinrich, J, Heude, B, Holloway, JW, Hofman, A, Hypponen, E, Inskip, H, Kaplan, LM, Hedman, AK, Laara, E, Prokisch, H, Grallert, H, Lakka, TA, Lawlor, DA, Melbye, M, Ahluwalia, TS, Marinelli, M, Millwood, IY, Palmer, LJ, Pennell, CE, Perry, JR, Ring, SM, Savolainen, MJ, Rivadeneira, F, Standl, M, Sunyer, J, Tiesler, CMT, Uitterlinden, AG, Schierding, W, O'Sullivan, JM, Prokopenko, I, Herzig, K-H, Smith, GD, O'Reilly, P, Felix, JF, Buxton, JL, Blakemore, AIF, Ong, KK, Jaddoe, VWV, Grant, SFA, Sebert, S, McCarthy, MI, Jarvelin, M-R, Alves, AC, De Silva, NMG, Karhunen, V, Sovio, U, Das, S, Taal, HR, Warrington, NM, Lewin, AM, Kaakinen, M, Cousminer, DL, Thiering, E, Timpson, NJ, Bond, TA, Lowry, E, Brown, CD, Estivill, X, Lindi, V, Bradfield, JP, Geller, F, Speed, D, Coin, LJM, Loh, M, Barton, SJ, Beilin, LJ, Bisgaard, H, Bonnelykke, K, Alili, R, Hatoum, IJ, Schramm, K, Cartwright, R, Charles, M-A, Salerno, V, Clement, K, Claringbould, AAJ, van Duijn, CM, Moltchanova, E, Eriksson, JG, Elks, C, Feenstra, B, Flexeder, C, Franks, S, Frayling, TM, Freathy, RM, Elliott, P, Widen, E, Hakonarson, H, Hattersley, AT, Rodriguez, A, Banterle, M, Heinrich, J, Heude, B, Holloway, JW, Hofman, A, Hypponen, E, Inskip, H, Kaplan, LM, Hedman, AK, Laara, E, Prokisch, H, Grallert, H, Lakka, TA, Lawlor, DA, Melbye, M, Ahluwalia, TS, Marinelli, M, Millwood, IY, Palmer, LJ, Pennell, CE, Perry, JR, Ring, SM, Savolainen, MJ, Rivadeneira, F, Standl, M, Sunyer, J, Tiesler, CMT, Uitterlinden, AG, Schierding, W, O'Sullivan, JM, Prokopenko, I, Herzig, K-H, Smith, GD, O'Reilly, P, Felix, JF, Buxton, JL, Blakemore, AIF, Ong, KK, Jaddoe, VWV, Grant, SFA, Sebert, S, McCarthy, MI, and Jarvelin, M-R

Abstract

Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health. We found a robust overlap between the genetics of child and adult body mass index (BMI), with variants associated with adult BMI acting as early as 4 to 6 years old. However, we demonstrated a completely distinct genetic makeup for peak BMI during infancy, influenced by variation at the LEPR/LEPROT locus. These findings suggest that different genetic factors control infant and child BMI. In light of the obesity epidemic, these findings are important to inform the timing and targets of prevention strategies.

Published
2019

8. Long-term unemployment is associated with short telomeres in 31-year-old men : an observational study in the Northern Finland Birth Cohort 1966

Author

Ala-Mursula, L, Buxton, JL, Ek, E, Koiranen, M, Taanila, A, Blakemore, AIF, Jarvelin, M-R, and Medical Research Council (MRC)

Subjects
BIOMARKER, Male, General Science & Technology, LIFE STRESS, DISEASE, Cohort Studies, AGE, LENGTH, EPIDEMIOLOGY, EMPLOYMENT, Humans, Finland, WORK, Science & Technology, MULTIDISCIPLINARY SCIENCES, WOMEN, Middle Aged, Telomere, CANCER, Multidisciplinary Sciences, Socioeconomic Factors, Unemployment, Science & Technology - Other Topics, HEALTH, FOLLOW-UP, biological
Abstract

OBJECTIVE:\ud Life stress resulting from early-life experiences and domestic stress is linked with shorter leukocyte telomere length (LTL), but evidence on employment-related stress is scarce. We explored whether unemployment in early adulthood is associated with shorter LTL, a potential biomarker of premature aging.\ud \ud METHODS:\ud We used data from 5620 men and women belonging to the Northern Finland Birth Cohort 1966. Individually registered unemployment days in 1995-97 were compared with data on biological, behavioral and socioeconomic health predictors and existing medical conditions obtained by surveys and clinical examinations at follow-up in 1997-98. Mean LTL at follow-up was measured by multiplex quantitative real-time PCR. We calculated odds ratios and their 95% confidence intervals (CI) of belonging to the sex-stratified shortest decile of standardized relative mean LTL according to the categories of: 0

Published
2013

9. 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

10. Telomere length in circulating leukocytes is associated with lung function and disease

Author

Albrecht, E, Sillanpaa, E, Karrasch, S, Alves, AC, Codd, V, Hovatta, I, Buxton, JL, Nelson, CP, Broer, Linda, Hagg, S, Mangino, M, Willemsen, G, Surakka, I, Ferreira, MAR, Amin, Najaf, Oostra, Ben, Backmand, HM, Peltonen, M, Sarna, S, Rantanen, T, Sipila, S, Korhonen, T, Madden, PAF, Gieger, C, Jorres, RA, Heinrich, J (Joachim), Behr, J, Huber, RM, Peters, A, Strauch, K, Wichmann, HE, Waldenberger, M, Blakemore, AIF, de Geus, EJC, Nyholt, DR, Henders, AK, Piirila, PL, Rissanen, A, Magnusson, PKE, Vinuela, A, Pietilainen, KH, Martin, NG, Pedersen, NL, Boomsma, DI, Spector, TD, Duijn, Cornelia, Kaprio, J, Samani, NJ, Jarvelin, MR, Schulz, H, Albrecht, E, Sillanpaa, E, Karrasch, S, Alves, AC, Codd, V, Hovatta, I, Buxton, JL, Nelson, CP, Broer, Linda, Hagg, S, Mangino, M, Willemsen, G, Surakka, I, Ferreira, MAR, Amin, Najaf, Oostra, Ben, Backmand, HM, Peltonen, M, Sarna, S, Rantanen, T, Sipila, S, Korhonen, T, Madden, PAF, Gieger, C, Jorres, RA, Heinrich, J (Joachim), Behr, J, Huber, RM, Peters, A, Strauch, K, Wichmann, HE, Waldenberger, M, Blakemore, AIF, de Geus, EJC, Nyholt, DR, Henders, AK, Piirila, PL, Rissanen, A, Magnusson, PKE, Vinuela, A, Pietilainen, KH, Martin, NG, Pedersen, NL, Boomsma, DI, Spector, TD, Duijn, Cornelia, Kaprio, J, Samani, NJ, Jarvelin, MR, and Schulz, H

Abstract

Several clinical studies suggest the involvement of premature ageing processes in chronic obstructive pulmonary disease (COPD). Using an epidemiological approach, we studied whether accelerated ageing indicated by telomere length, a marker of biological age, is associated with COPD and asthma, and whether intrinsic age-related processes contribute to the interindividual variability of lung function. Our meta-analysis of 14 studies included 934 COPD cases with 15 846 controls defined according to the Global Lungs Initiative (GLI) criteria (or 1189 COPD cases according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) criteria), 2834 asthma cases with 28 195 controls, and spirometric parameters (forced expiratory volume in is (FEV1), forced vital capacity (PVC) and FEV1/FVC) of 12 595 individuals. Associations with telomere length were tested by linear regression, adjusting for age, sex and smoking status. We observed negative associations between telomere length and asthma (beta= -0.0452, p= 0.024) as well as COPD (beta= -0.0982, p=0.001), with associations being stronger and more significant when using GLI criteria than those of GOLD. In both diseases, effects were stronger in females than males. The investigation of spirometric indices showed positive associations between telomere length and FEV1 (p=1.07 x 10(-7)), FVC (p=2.07 x 10(-5)), and FEV1/FVC (p =5.27 x 10(-3)). The effect was somewhat weaker in apparently healthy subjects than in COPD or asthma patients. Our results provide indirect evidence for the hypothesis that cellular senescence may contribute to the pathogenesis of COPD and asthma, and that lung function may reflect biological ageing primarily due to intrinsic processes, which are likely to be aggravated in lung diseases.

Published
2014

11. Are C-Reactive Protein Associated Genetic Variants Associated with Serum Levels and Retinal Markers of Microvascular Pathology in Asian Populations from Singapore?

Author

Wei, Z, Dorajoo, R, Li, R, Ikram, MK, Liu, J, Froguel, P, Lee, J, Sim, X, Ong, RT-H, Tay, WT, Peng, C, Young, TL, Blakemore, AIF, Cheng, CY, Aung, T, Mitchell, P, Wang, JJ, Klaver, CC, Boerwinkle, E, Klein, R, Siscovick, DS, Jensen, RA, Gudnason, V, Smith, AV, Teo, YY, Wong, TY, Tai, E-S, Heng, C-K, Friedlander, Y, Wei, Z, Dorajoo, R, Li, R, Ikram, MK, Liu, J, Froguel, P, Lee, J, Sim, X, Ong, RT-H, Tay, WT, Peng, C, Young, TL, Blakemore, AIF, Cheng, CY, Aung, T, Mitchell, P, Wang, JJ, Klaver, CC, Boerwinkle, E, Klein, R, Siscovick, DS, Jensen, RA, Gudnason, V, Smith, AV, Teo, YY, Wong, TY, Tai, E-S, Heng, C-K, and Friedlander, Y

Abstract

INTRODUCTION: C-reactive protein (CRP) levels are associated with cardiovascular disease and systemic inflammation. We assessed whether CRP-associated loci were associated with serum CRP and retinal markers of microvascular disease, in Asian populations. METHODS: Genome-wide association analysis (GWAS) for serum CRP was performed in East-Asian Chinese (N = 2,434) and Malays (N = 2,542) and South-Asian Indians (N = 2,538) from Singapore. Leveraging on GWAS data, we assessed, in silico, association levels among the Singaporean datasets for 22 recently identified CRP-associated loci. At loci where directional inconsistencies were observed, quantification of inter-ethnic linkage disequilibrium (LD) difference was determined. Next, we assessed association for a variant at CRP and retinal vessel traits [central retinal artery equivalent (CRAE) and central retinal vein equivalent (CRVE)] in a total of 24,132 subjects of East-Asian, South-Asian and European ancestry. RESULTS: Serum CRP was associated with SNPs in/near APOE, CRP, HNF1A and LEPR (p-values ≤4.7×10(-8)) after meta-analysis of Singaporean populations. Using a candidate-SNP approach, we further replicated SNPs at 4 additional loci that had been recently identified to be associated with serum CRP (IL6R, GCKR, IL6 and IL1F10) (p-values ≤0.009), in the Singaporean datasets. SNPs from these 8 loci explained 4.05% of variance in serum CRP. Two SNPs (rs2847281 and rs6901250) were detected to be significant (p-value ≤0.036) but with opposite effect directions in the Singaporean populations as compared to original European studies. At these loci we did not detect significant inter-population LD differences. We further did not observe a significant association between CRP variant and CRVE or CRAE levels after meta-analysis of all Singaporean and European datasets (p-value >0.058). CONCLUSIONS: Common variants associated with serum CRP, first detected in primarily European studies, are also associated with CRP levels in Ea

Published
2013

12. Rare Genomic Structural Variants in Complex Disease: Lessons from the Replication of Associations with Obesity

Author

Timpson, NJ, Walters, RG, Coin, LJM, Ruokonen, A, de Smith, AJ, Moustafa, JSE-S, Jacquemont, S, Elliott, P, Esko, T, Hartikainen, A-L, Laitinen, J, Maennik, K, Martinet, D, Meyre, D, Nauck, M, Schurmann, C, Sladek, R, Thorleifsson, G, Thorsteinsdottir, U, Valsesia, A, Waeber, G, Zufferey, F, Balkau, B, Pattou, F, Metspalu, A, Voelzke, H, Vollenweider, P, Stefansson, K, Jarvelin, M-R, Beckmann, JS, Froguel, P, Blakemore, AIF, Timpson, NJ, Walters, RG, Coin, LJM, Ruokonen, A, de Smith, AJ, Moustafa, JSE-S, Jacquemont, S, Elliott, P, Esko, T, Hartikainen, A-L, Laitinen, J, Maennik, K, Martinet, D, Meyre, D, Nauck, M, Schurmann, C, Sladek, R, Thorleifsson, G, Thorsteinsdottir, U, Valsesia, A, Waeber, G, Zufferey, F, Balkau, B, Pattou, F, Metspalu, A, Voelzke, H, Vollenweider, P, Stefansson, K, Jarvelin, M-R, Beckmann, JS, Froguel, P, and Blakemore, AIF

Abstract

The limited ability of common variants to account for the genetic contribution to complex disease has prompted searches for rare variants of large effect, to partly explain the 'missing heritability'. Analyses of genome-wide genotyping data have identified genomic structural variants (GSVs) as a source of such rare causal variants. Recent studies have reported multiple GSV loci associated with risk of obesity. We attempted to replicate these associations by similar analysis of two familial-obesity case-control cohorts and a population cohort, and detected GSVs at 11 out of 18 loci, at frequencies similar to those previously reported. Based on their reported frequencies and effect sizes (OR≥25), we had sufficient statistical power to detect the large majority (80%) of genuine associations at these loci. However, only one obesity association was replicated. Deletion of a 220 kb region on chromosome 16p11.2 has a carrier population frequency of 2×10(-4) (95% confidence interval [9.6×10(-5)-3.1×10(-4)]); accounts overall for 0.5% [0.19%-0.82%] of severe childhood obesity cases (P = 3.8×10(-10); odds ratio = 25.0 [9.9-60.6]); and results in a mean body mass index (BMI) increase of 5.8 kg.m(-2) [1.8-10.3] in adults from the general population. We also attempted replication using BMI as a quantitative trait in our population cohort; associations with BMI at or near nominal significance were detected at two further loci near KIF2B and within FOXP2, but these did not survive correction for multiple testing. These findings emphasise several issues of importance when conducting rare GSV association, including the need for careful cohort selection and replication strategy, accurate GSV identification, and appropriate correction for multiple testing and/or control of false discovery rate. Moreover, they highlight the potential difficulty in replicating rare CNV associations across different populations. Nevertheless, we show that such studies are potentially valuable for the ide

Published
2013

13. Are C-Reactive Protein Associated Genetic Variants Associated with Serum Levels and Retinal Markers of Microvascular Pathology in Asian Populations from Singapore?

Author

Dorajoo, R, Li, RY, Ikram, Kamran, Liu, JJ, Froguel, P, van der Lee, J, Sim, X, Ong, RTH, Tay, WT, Peng, C, Young, TL, Blakemore, AIF, Cheng, CY (Ching-Yu), Aung, T, Mitchell, P, Wang, JJ, Klaver, Caroline, Boerwinkle, E, Klein, R, Siscovick, DS, Jensen, RA, Gudnason, V, Smith, AV, Teo, YY, Wong, TY (Tien Yin), Tai, ES, Heng, CK, Friedlander, Y, Dorajoo, R, Li, RY, Ikram, Kamran, Liu, JJ, Froguel, P, van der Lee, J, Sim, X, Ong, RTH, Tay, WT, Peng, C, Young, TL, Blakemore, AIF, Cheng, CY (Ching-Yu), Aung, T, Mitchell, P, Wang, JJ, Klaver, Caroline, Boerwinkle, E, Klein, R, Siscovick, DS, Jensen, RA, Gudnason, V, Smith, AV, Teo, YY, Wong, TY (Tien Yin), Tai, ES, Heng, CK, and Friedlander, Y

Published
2013

14. Effect of Vertical sleeve gastrectomy in melanocortin receptor 4-deficient rats

Author

Mul, JD, Begg, DP, Alsters, SIM, van Haaften, G, Duran, KJ, D'Alessio, DA, le Roux, CW, Woods, SC, Sandoval, DA, Blakemore, AIF, Cuppen, E, van Haelst, MM, Seeley, RJ, Mul, JD, Begg, DP, Alsters, SIM, van Haaften, G, Duran, KJ, D'Alessio, DA, le Roux, CW, Woods, SC, Sandoval, DA, Blakemore, AIF, Cuppen, E, van Haelst, MM, and Seeley, RJ

Abstract

Bariatric surgery is currently the most effective treatment for obesity. Vertical sleeve gastrectomy (VSG), a commonly applied bariatric procedure, involves surgically incising most of the volume of the stomach. In humans, partial loss of melanocortin receptor-4 (MC4R) activity is the most common monogenic correlate of obesity regardless of lifestyle. At present it is unclear whether genetic alteration of MC4R signaling modulates the beneficial effects of VSG. Following VSG, we analyzed body weight, food intake, glucose sensitivity, and macronutrient preference of wild-type and MC4R-deficient (Mc4r +/- and Mc4r -/-) rats compared with sham-operated controls. VSG reduced body weight and fat mass and improved glucose metabolism and also shifted preference toward carbohydrates and away from fat. All of this occurred independently of MC4R activity. In addition, MC4R was resequenced in 46 human subjects who underwent VSG. We observed common genetic variations in the coding sequence of MC4R in five subjects. However, none of those variations appeared to affect the outcome of VSG. Taken together, these data suggest that the beneficial effect of VSG on body weight and glucose metabolism is not mediated by alterations in MC4R activity. © 2012 the American Physiological Society.

Published
2012

15. Meta-analysis of genome-wide association studies identifies three new risk loci for atopic dermatitis

Author

Paternoster, L, Standl, M, Chen, C-M, Ramasamy, A, Bonnelykke, K, Duijts, L, Ferreira, MA, Alves, AC, Thyssen, JP, Albrecht, E, Baurecht, H, Feenstra, B, Sleiman, PMA, Hysi, P, Warrington, NM, Curjuric, I, Myhre, R, Curtin, JA, Groen-Blokhuis, MM, Kerkhof, M, Saaf, A, Franke, A, Ellinghaus, D, Foelster-Holst, R, Dermitzakis, E, Montgomery, SB, Prokisch, H, Heim, K, Hartikainen, A-L, Pouta, A, Pekkanen, J, Blakemore, AIF, Buxton, JL, Kaakinen, M, Duffy, DL, Madden, PA, Heath, AC, Montgomery, GW, Thompson, PJ, Matheson, MC, Le Souef, P, St Pourcain, B, Smith, GD, Henderson, J, Kemp, JP, Timpson, NJ, Deloukas, P, Ring, SM, Wichmann, H-E, Mueller-Nurasyid, M, Novak, N, Klopp, N, Rodriguez, E, McArdle, W, Linneberg, A, Menne, T, Nohr, EA, Hofman, A, Uitterlinden, AG, van Duijin, CM, Rivadeneira, F, de Jongste, JC, van der Valk, RJP, Wjst, M, Jogi, R, Geller, F, Boyd, HA, Murray, JC, Kim, C, Mentch, F, March, M, Mangino, M, Spector, TD, Bataille, V, Pennell, CE, Holt, PG, Sly, P, Tiesler, CMT, Thiering, E, Illig, T, Imboden, M, Nystad, W, Simpson, A, Hottenga, J-J, Postma, D, Koppelman, GH, Smit, HA, Soderhall, C, Chawes, B, Kreiner-Moller, E, Bisgaard, H, Melen, E, Boomsma, DI, Custovic, A, Jacobsson, B, Probst-Hensch, NM, Palmer, LJ, Glass, D, Hakonarson, H, Melbye, M, Jarvis, DL, Jaddoe, VWV, Gieger, C, Strachan, DP, Martin, NG, Jarvelin, M-R, Heinrich, J, Evans, DM, Weidinger, S, Paternoster, L, Standl, M, Chen, C-M, Ramasamy, A, Bonnelykke, K, Duijts, L, Ferreira, MA, Alves, AC, Thyssen, JP, Albrecht, E, Baurecht, H, Feenstra, B, Sleiman, PMA, Hysi, P, Warrington, NM, Curjuric, I, Myhre, R, Curtin, JA, Groen-Blokhuis, MM, Kerkhof, M, Saaf, A, Franke, A, Ellinghaus, D, Foelster-Holst, R, Dermitzakis, E, Montgomery, SB, Prokisch, H, Heim, K, Hartikainen, A-L, Pouta, A, Pekkanen, J, Blakemore, AIF, Buxton, JL, Kaakinen, M, Duffy, DL, Madden, PA, Heath, AC, Montgomery, GW, Thompson, PJ, Matheson, MC, Le Souef, P, St Pourcain, B, Smith, GD, Henderson, J, Kemp, JP, Timpson, NJ, Deloukas, P, Ring, SM, Wichmann, H-E, Mueller-Nurasyid, M, Novak, N, Klopp, N, Rodriguez, E, McArdle, W, Linneberg, A, Menne, T, Nohr, EA, Hofman, A, Uitterlinden, AG, van Duijin, CM, Rivadeneira, F, de Jongste, JC, van der Valk, RJP, Wjst, M, Jogi, R, Geller, F, Boyd, HA, Murray, JC, Kim, C, Mentch, F, March, M, Mangino, M, Spector, TD, Bataille, V, Pennell, CE, Holt, PG, Sly, P, Tiesler, CMT, Thiering, E, Illig, T, Imboden, M, Nystad, W, Simpson, A, Hottenga, J-J, Postma, D, Koppelman, GH, Smit, HA, Soderhall, C, Chawes, B, Kreiner-Moller, E, Bisgaard, H, Melen, E, Boomsma, DI, Custovic, A, Jacobsson, B, Probst-Hensch, NM, Palmer, LJ, Glass, D, Hakonarson, H, Melbye, M, Jarvis, DL, Jaddoe, VWV, Gieger, C, Strachan, DP, Martin, NG, Jarvelin, M-R, Heinrich, J, Evans, DM, and Weidinger, S

Abstract

Atopic dermatitis (AD) is a commonly occurring chronic skin disease with high heritability. Apart from filaggrin (FLG), the genes influencing atopic dermatitis are largely unknown. We conducted a genome-wide association meta-analysis of 5,606 affected individuals and 20,565 controls from 16 population-based cohorts and then examined the ten most strongly associated new susceptibility loci in an additional 5,419 affected individuals and 19,833 controls from 14 studies. Three SNPs reached genome-wide significance in the discovery and replication cohorts combined, including rs479844 upstream of OVOL1 (odds ratio (OR) = 0.88, P = 1.1 × 10(-13)) and rs2164983 near ACTL9 (OR = 1.16, P = 7.1 × 10(-9)), both of which are near genes that have been implicated in epidermal proliferation and differentiation, as well as rs2897442 in KIF3A within the cytokine cluster at 5q31.1 (OR = 1.11, P = 3.8 × 10(-8)). We also replicated association with the FLG locus and with two recently identified association signals at 11q13.5 (rs7927894; P = 0.008) and 20q13.33 (rs6010620; P = 0.002). Our results underline the importance of both epidermal barrier function and immune dysregulation in atopic dermatitis pathogenesis.

Published
2012

16. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Author

Speliotes, EK, Willer, CJ, Berndt, SI, Monda, KL, Thorleifsson, G, Jackson, AU, Allen, HL, Lindgren, CM, Luan, J, Maegi, R, Randall, JC, Vedantam, S, Winkler, TW, Qi, L, Workalemahu, T, Heid, IM, Steinthorsdottir, V, Stringham, HM, Weedon, MN, Wheeler, E, Wood, AR, Ferreira, T, Weyant, RJ, Segre, AV, Estrada, K, Liang, L, Nemesh, J, Park, J-H, Gustafsson, S, Kilpelaenen, TO, Yang, J, Bouatia-Naji, N, Esko, T, Feitosa, MF, Kutalik, Z, Mangino, M, Raychaudhuri, S, Scherag, A, Smith, AV, Welch, R, Zhao, JH, Aben, KK, Absher, DM, Amin, N, Dixon, AL, Fisher, E, Glazer, NL, Goddard, ME, Heard-Costa, NL, Hoesel, V, Hottenga, J-J, Johansson, A, Johnson, T, Ketkar, S, Lamina, C, Li, S, Moffatt, MF, Myers, RH, Narisu, N, Perry, JRB, Peters, MJ, Preuss, M, Ripatti, S, Rivadeneira, F, Sandholt, C, Scott, LJ, Timpson, NJ, Tyrer, JP, van Wingerden, S, Watanabe, RM, White, CC, Wiklund, F, Barlassina, C, Chasman, DI, Cooper, MN, Jansson, J-O, Lawrence, RW, Pellikka, N, Prokopenko, I, Shi, J, Thiering, E, Alavere, H, Alibrandi, MTS, Almgren, P, Arnold, AM, Aspelund, T, Atwood, LD, Balkau, B, Balmforth, AJ, Bennett, AJ, Ben-Shlomo, Y, Bergman, RN, Bergmann, S, Biebermann, H, Blakemore, AIF, Boes, T, Bonnycastle, LL, Bornstein, SR, Brown, MJ, Buchanan, TA, Busonero, F, Campbell, H, Cappuccio, FP, Cavalcanti-Proenca, C, Chen, Y-DI, Chen, C-M, Chines, PS, Clarke, R, Coin, L, Connell, J, Day, INM, den Heijer, M, Duan, J, Ebrahim, S, Elliott, P, Elosua, R, Eiriksdottir, G, Erdos, MR, Eriksson, JG, Facheris, MF, Felix, SB, Fischer-Posovszky, P, Folsom, AR, Friedrich, N, Freimer, NB, Fu, M, Gaget, S, Gejman, PV, Geus, EJC, Gieger, C, Gjesing, AP, Goel, A, Goyette, P, Grallert, H, Graessler, J, Greenawalt, DM, Groves, CJ, Gudnason, V, Guiducci, C, Hartikainen, A-L, Hassanali, N, Hall, AS, Havulinna, AS, Hayward, C, Heath, AC, Hengstenberg, C, Hicks, AA, Hinney, A, Hofman, A, Homuth, G, Hui, J, Igl, W, Iribarren, C, Isomaa, B, Jacobs, KB, Jarick, I, Jewell, E, John, U, Jorgensen, T, Jousilahti, P, Jula, A, Kaakinen, M, Kajantie, E, Kaplan, LM, Kathiresan, S, Kettunen, J, Kinnunen, L, Knowles, JW, Kolcic, I, Koenig, IR, Koskinen, S, Kovacs, P, Kuusisto, J, Kraft, P, Kvaloy, K, Laitinen, J, Lantieri, O, Lanzani, C, Launer, LJ, Lecoeur, C, Lehtimaeki, T, Lettre, G, Liu, J, Lokki, M-L, Lorentzon, M, Luben, RN, Ludwig, B, Manunta, P, Marek, D, Marre, M, Martin, NG, McArdle, WL, McCarthy, A, McKnight, B, Meitinger, T, Melander, O, Meyre, D, Midthjell, K, Montgomery, GW, Morken, MA, Morris, AP, Mulic, R, Ngwa, JS, Nelis, M, Neville, MJ, Nyholt, DR, O'Donnell, CJ, O'Rahilly, S, Ong, KK, Oostra, B, Pare, G, Parker, AN, Perola, M, Pichler, I, Pietilaeinen, KH, Platou, CGP, Polasek, O, Pouta, A, Rafelt, S, Raitakari, O, Rayner, NW, Ridderstrale, M, Rief, W, Ruokonen, A, Robertson, NR, Rzehak, P, Salomaa, V, Sanders, AR, Sandhu, MS, Sanna, S, Saramies, J, Savolainen, MJ, Scherag, S, Schipf, S, Schreiber, S, Schunkert, H, Silander, K, Sinisalo, J, Siscovick, DS, Smit, JH, Soranzo, N, Sovio, U, Stephens, J, Surakka, I, Swift, AJ, Tammesoo, M-L, Tardif, J-C, Teder-Laving, M, Teslovich, TM, Thompson, JR, Thomson, B, Toenjes, A, Tuomi, T, van Meurs, JBJ, van Ommen, G-J, Vatin, V, Viikari, J, Visvikis-Siest, S, Vitart, V, Vogel, CIG, Voight, BF, Waite, LL, Wallaschofski, H, Walters, GB, Widen, E, Wiegand, S, Wild, SH, Willemsen, G, Witte, DR, Witteman, JC, Xu, J, Zhang, Q, Zgaga, L, Ziegler, A, Zitting, P, Beilby, JP, Farooqi, IS, Hebebrand, J, Huikuri, HV, James, AL, Kaehoenen, M, Levinson, DF, Macciardi, F, Nieminen, MS, Ohlsson, C, Palmer, LJ, Ridker, PM, Stumvoll, M, Beckmann, JS, Boeing, H, Boerwinkle, E, Boomsma, DI, Caulfield, MJ, Chanock, SJ, Collins, FS, Cupples, LA, Smith, GD, Erdmann, J, Froguel, P, Greonberg, H, Gyllensten, U, Hall, P, Hansen, T, Harris, TB, Hattersley, AT, Hayes, RB, Heinrich, J, Hu, FB, Hveem, K, Illig, T, Jarvelin, M-R, Kaprio, J, Karpe, F, Khaw, K-T, Kiemeney, LA, Krude, H, Laakso, M, Lawlor, DA, Metspalu, A, Munroe, PB, Ouwehand, WH, Pedersen, O, Penninx, BW, Peters, A, Pramstaller, PP, Quertermous, T, Reinehr, T, Rissanen, A, Rudan, I, Samani, NJ, Schwarz, PEH, Shuldiner, AR, Spector, TD, Tuomilehto, J, Uda, M, Uitterlinden, A, Valle, TT, Wabitsch, M, Waeber, G, Wareham, NJ, Watkins, H, Wilson, JF, Wright, AF, Zillikens, MC, Chatterjee, N, McCarroll, SA, Purcell, S, Schadt, EE, Visscher, PM, Assimes, TL, Borecki, IB, Deloukas, P, Fox, CS, Groop, LC, Haritunians, T, Hunter, DJ, Kaplan, RC, Mohlke, KL, O'Connell, JR, Peltonen, L, Schlessinger, D, Strachan, DP, van Duijn, CM, Wichmann, H-E, Frayling, TM, Thorsteinsdottir, U, Abecasis, GR, Barroso, I, Boehnke, M, Stefansson, K, North, KE, McCarthy, MI, Hirschhorn, JN, Ingelsson, E, Loos, RJF, Speliotes, EK, Willer, CJ, Berndt, SI, Monda, KL, Thorleifsson, G, Jackson, AU, Allen, HL, Lindgren, CM, Luan, J, Maegi, R, Randall, JC, Vedantam, S, Winkler, TW, Qi, L, Workalemahu, T, Heid, IM, Steinthorsdottir, V, Stringham, HM, Weedon, MN, Wheeler, E, Wood, AR, Ferreira, T, Weyant, RJ, Segre, AV, Estrada, K, Liang, L, Nemesh, J, Park, J-H, Gustafsson, S, Kilpelaenen, TO, Yang, J, Bouatia-Naji, N, Esko, T, Feitosa, MF, Kutalik, Z, Mangino, M, Raychaudhuri, S, Scherag, A, Smith, AV, Welch, R, Zhao, JH, Aben, KK, Absher, DM, Amin, N, Dixon, AL, Fisher, E, Glazer, NL, Goddard, ME, Heard-Costa, NL, Hoesel, V, Hottenga, J-J, Johansson, A, Johnson, T, Ketkar, S, Lamina, C, Li, S, Moffatt, MF, Myers, RH, Narisu, N, Perry, JRB, Peters, MJ, Preuss, M, Ripatti, S, Rivadeneira, F, Sandholt, C, Scott, LJ, Timpson, NJ, Tyrer, JP, van Wingerden, S, Watanabe, RM, White, CC, Wiklund, F, Barlassina, C, Chasman, DI, Cooper, MN, Jansson, J-O, Lawrence, RW, Pellikka, N, Prokopenko, I, Shi, J, Thiering, E, Alavere, H, Alibrandi, MTS, Almgren, P, Arnold, AM, Aspelund, T, Atwood, LD, Balkau, B, Balmforth, AJ, Bennett, AJ, Ben-Shlomo, Y, Bergman, RN, Bergmann, S, Biebermann, H, Blakemore, AIF, Boes, T, Bonnycastle, LL, Bornstein, SR, Brown, MJ, Buchanan, TA, Busonero, F, Campbell, H, Cappuccio, FP, Cavalcanti-Proenca, C, Chen, Y-DI, Chen, C-M, Chines, PS, Clarke, R, Coin, L, Connell, J, Day, INM, den Heijer, M, Duan, J, Ebrahim, S, Elliott, P, Elosua, R, Eiriksdottir, G, Erdos, MR, Eriksson, JG, Facheris, MF, Felix, SB, Fischer-Posovszky, P, Folsom, AR, Friedrich, N, Freimer, NB, Fu, M, Gaget, S, Gejman, PV, Geus, EJC, Gieger, C, Gjesing, AP, Goel, A, Goyette, P, Grallert, H, Graessler, J, Greenawalt, DM, Groves, CJ, Gudnason, V, Guiducci, C, Hartikainen, A-L, Hassanali, N, Hall, AS, Havulinna, AS, Hayward, C, Heath, AC, Hengstenberg, C, Hicks, AA, Hinney, A, Hofman, A, Homuth, G, Hui, J, Igl, W, Iribarren, C, Isomaa, B, Jacobs, KB, Jarick, I, Jewell, E, John, U, Jorgensen, T, Jousilahti, P, Jula, A, Kaakinen, M, Kajantie, E, Kaplan, LM, Kathiresan, S, Kettunen, J, Kinnunen, L, Knowles, JW, Kolcic, I, Koenig, IR, Koskinen, S, Kovacs, P, Kuusisto, J, Kraft, P, Kvaloy, K, Laitinen, J, Lantieri, O, Lanzani, C, Launer, LJ, Lecoeur, C, Lehtimaeki, T, Lettre, G, Liu, J, Lokki, M-L, Lorentzon, M, Luben, RN, Ludwig, B, Manunta, P, Marek, D, Marre, M, Martin, NG, McArdle, WL, McCarthy, A, McKnight, B, Meitinger, T, Melander, O, Meyre, D, Midthjell, K, Montgomery, GW, Morken, MA, Morris, AP, Mulic, R, Ngwa, JS, Nelis, M, Neville, MJ, Nyholt, DR, O'Donnell, CJ, O'Rahilly, S, Ong, KK, Oostra, B, Pare, G, Parker, AN, Perola, M, Pichler, I, Pietilaeinen, KH, Platou, CGP, Polasek, O, Pouta, A, Rafelt, S, Raitakari, O, Rayner, NW, Ridderstrale, M, Rief, W, Ruokonen, A, Robertson, NR, Rzehak, P, Salomaa, V, Sanders, AR, Sandhu, MS, Sanna, S, Saramies, J, Savolainen, MJ, Scherag, S, Schipf, S, Schreiber, S, Schunkert, H, Silander, K, Sinisalo, J, Siscovick, DS, Smit, JH, Soranzo, N, Sovio, U, Stephens, J, Surakka, I, Swift, AJ, Tammesoo, M-L, Tardif, J-C, Teder-Laving, M, Teslovich, TM, Thompson, JR, Thomson, B, Toenjes, A, Tuomi, T, van Meurs, JBJ, van Ommen, G-J, Vatin, V, Viikari, J, Visvikis-Siest, S, Vitart, V, Vogel, CIG, Voight, BF, Waite, LL, Wallaschofski, H, Walters, GB, Widen, E, Wiegand, S, Wild, SH, Willemsen, G, Witte, DR, Witteman, JC, Xu, J, Zhang, Q, Zgaga, L, Ziegler, A, Zitting, P, Beilby, JP, Farooqi, IS, Hebebrand, J, Huikuri, HV, James, AL, Kaehoenen, M, Levinson, DF, Macciardi, F, Nieminen, MS, Ohlsson, C, Palmer, LJ, Ridker, PM, Stumvoll, M, Beckmann, JS, Boeing, H, Boerwinkle, E, Boomsma, DI, Caulfield, MJ, Chanock, SJ, Collins, FS, Cupples, LA, Smith, GD, Erdmann, J, Froguel, P, Greonberg, H, Gyllensten, U, Hall, P, Hansen, T, Harris, TB, Hattersley, AT, Hayes, RB, Heinrich, J, Hu, FB, Hveem, K, Illig, T, Jarvelin, M-R, Kaprio, J, Karpe, F, Khaw, K-T, Kiemeney, LA, Krude, H, Laakso, M, Lawlor, DA, Metspalu, A, Munroe, PB, Ouwehand, WH, Pedersen, O, Penninx, BW, Peters, A, Pramstaller, PP, Quertermous, T, Reinehr, T, Rissanen, A, Rudan, I, Samani, NJ, Schwarz, PEH, Shuldiner, AR, Spector, TD, Tuomilehto, J, Uda, M, Uitterlinden, A, Valle, TT, Wabitsch, M, Waeber, G, Wareham, NJ, Watkins, H, Wilson, JF, Wright, AF, Zillikens, MC, Chatterjee, N, McCarroll, SA, Purcell, S, Schadt, EE, Visscher, PM, Assimes, TL, Borecki, IB, Deloukas, P, Fox, CS, Groop, LC, Haritunians, T, Hunter, DJ, Kaplan, RC, Mohlke, KL, O'Connell, JR, Peltonen, L, Schlessinger, D, Strachan, DP, van Duijn, CM, Wichmann, H-E, Frayling, TM, Thorsteinsdottir, U, Abecasis, GR, Barroso, I, Boehnke, M, Stefansson, K, North, KE, McCarthy, MI, Hirschhorn, JN, Ingelsson, E, and Loos, RJF

Abstract

Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ∼ 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 × 10⁻⁸), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.

Published
2010

17. A new highly penetrant form of obesity due to deletions on chromosome 16p11.2

Author

Walters, RG, Jacquemont, S, Valsesia, A, de Smith, AJ, Martinet, D, Andersson, J, Falchi, M, Chen, F, Andrieux, J, Lobbens, S, Delobel, B, Stutzmann, F, Moustafa, JSE-S, Chevre, J-C, Lecoeur, C, Vatin, V, Bouquillon, S, Buxton, JL, Boute, O, Holder-Espinasse, M, Cuisset, J-M, Lemaitre, M-P, Ambresin, A-E, Brioschi, A, Gaillard, M, Giusti, V, Fellmann, F, Ferrarini, A, Hadjikhani, N, Campion, D, Guilmatre, A, Goldenberg, A, Calmels, N, Mandel, J-L, Le Caignec, C, David, A, Isidor, B, Cordier, M-P, Dupuis-Girod, S, Labalme, A, Sanlaville, D, Beri-Dexheimer, M, Jonveaux, P, Leheup, B, Ounap, K, Bochukova, EG, Henning, E, Keogh, J, Ellis, RJ, MacDermot, KD, van Haelst, MM, Vincent-Delorme, C, Plessis, G, Touraine, R, Philippe, A, Malan, V, Mathieu-Dramard, M, Chiesa, J, Blaumeiser, B, Kooy, RF, Caiazzo, R, Pigeyre, M, Balkau, B, Sladek, R, Bergmann, S, Mooser, V, Waterworth, D, Reymond, A, Vollenweider, P, Waeber, G, Kurg, A, Palta, P, Esko, T, Metspalu, A, Nelis, M, Elliott, P, Hartikainen, A-L, McCarthy, MI, Peltonen, L, Carlsson, L, Jacobson, P, Sjostrom, L, Huang, N, Hurles, ME, O'Rahilly, S, Farooqi, IS, Maennik, K, Jarvelin, M-R, Pattou, F, Meyre, D, Walley, AJ, Coin, LJM, Blakemore, AIF, Froguel, P, Beckmann, JS, Walters, RG, Jacquemont, S, Valsesia, A, de Smith, AJ, Martinet, D, Andersson, J, Falchi, M, Chen, F, Andrieux, J, Lobbens, S, Delobel, B, Stutzmann, F, Moustafa, JSE-S, Chevre, J-C, Lecoeur, C, Vatin, V, Bouquillon, S, Buxton, JL, Boute, O, Holder-Espinasse, M, Cuisset, J-M, Lemaitre, M-P, Ambresin, A-E, Brioschi, A, Gaillard, M, Giusti, V, Fellmann, F, Ferrarini, A, Hadjikhani, N, Campion, D, Guilmatre, A, Goldenberg, A, Calmels, N, Mandel, J-L, Le Caignec, C, David, A, Isidor, B, Cordier, M-P, Dupuis-Girod, S, Labalme, A, Sanlaville, D, Beri-Dexheimer, M, Jonveaux, P, Leheup, B, Ounap, K, Bochukova, EG, Henning, E, Keogh, J, Ellis, RJ, MacDermot, KD, van Haelst, MM, Vincent-Delorme, C, Plessis, G, Touraine, R, Philippe, A, Malan, V, Mathieu-Dramard, M, Chiesa, J, Blaumeiser, B, Kooy, RF, Caiazzo, R, Pigeyre, M, Balkau, B, Sladek, R, Bergmann, S, Mooser, V, Waterworth, D, Reymond, A, Vollenweider, P, Waeber, G, Kurg, A, Palta, P, Esko, T, Metspalu, A, Nelis, M, Elliott, P, Hartikainen, A-L, McCarthy, MI, Peltonen, L, Carlsson, L, Jacobson, P, Sjostrom, L, Huang, N, Hurles, ME, O'Rahilly, S, Farooqi, IS, Maennik, K, Jarvelin, M-R, Pattou, F, Meyre, D, Walley, AJ, Coin, LJM, Blakemore, AIF, Froguel, P, and Beckmann, JS

Abstract

Obesity has become a major worldwide challenge to public health, owing to an interaction between the Western 'obesogenic' environment and a strong genetic contribution. Recent extensive genome-wide association studies (GWASs) have identified numerous single nucleotide polymorphisms associated with obesity, but these loci together account for only a small fraction of the known heritable component. Thus, the 'common disease, common variant' hypothesis is increasingly coming under challenge. Here we report a highly penetrant form of obesity, initially observed in 31 subjects who were heterozygous for deletions of at least 593 kilobases at 16p11.2 and whose ascertainment included cognitive deficits. Nineteen similar deletions were identified from GWAS data in 16,053 individuals from eight European cohorts. These deletions were absent from healthy non-obese controls and accounted for 0.7% of our morbid obesity cases (body mass index (BMI) >or= 40 kg m(-2) or BMI standard deviation score >or= 4; P = 6.4 x 10(-8), odds ratio 43.0), demonstrating the potential importance in common disease of rare variants with strong effects. This highlights a promising strategy for identifying missing heritability in obesity and other complex traits: cohorts with extreme phenotypes are likely to be enriched for rare variants, thereby improving power for their discovery. Subsequent analysis of the loci so identified may well reveal additional rare variants that further contribute to the missing heritability, as recently reported for SIM1 (ref. 3). The most productive approach may therefore be to combine the 'power of the extreme' in small, well-phenotyped cohorts, with targeted follow-up in case-control and population cohorts.

Published
2010

18. Small Deletion Variants Have Stable Breakpoints Commonly Associated with Alu Elements

Author

Lichten, M, de Smith, AJ, Walters, RG, Coin, LJM, Steinfeld, I, Yakhini, Z, Sladek, R, Froguel, P, Blakemore, AIF, Lichten, M, de Smith, AJ, Walters, RG, Coin, LJM, Steinfeld, I, Yakhini, Z, Sladek, R, Froguel, P, and Blakemore, AIF

Abstract

Copy number variants (CNVs) contribute significantly to human genomic variation, with over 5000 loci reported, covering more than 18% of the euchromatic human genome. Little is known, however, about the origin and stability of variants of different size and complexity. We investigated the breakpoints of 20 small, common deletions, representing a subset of those originally identified by array CGH, using Agilent microarrays, in 50 healthy French Caucasian subjects. By sequencing PCR products amplified using primers designed to span the deleted regions, we determined the exact size and genomic position of the deletions in all affected samples. For each deletion studied, all individuals carrying the deletion share identical upstream and downstream breakpoints at the sequence level, suggesting that the deletion event occurred just once and later became common in the population. This is supported by linkage disequilibrium (LD) analysis, which has revealed that most of the deletions studied are in moderate to strong LD with surrounding SNPs, and have conserved long-range haplotypes. Analysis of the sequences flanking the deletion breakpoints revealed an enrichment of microhomology at the breakpoint junctions. More significantly, we found an enrichment of Alu repeat elements, the overwhelming majority of which intersected deletion breakpoints at their poly-A tails. We found no enrichment of LINE elements or segmental duplications, in contrast to other reports. Sequence analysis revealed enrichment of a conserved motif in the sequences surrounding the deletion breakpoints, although whether this motif has any mechanistic role in the formation of some deletions has yet to be determined. Considered together with existing information on more complex inherited variant regions, and reports of de novo variants associated with autism, these data support the presence of different subgroups of CNV in the genome which may have originated through different mechanisms.

Published
2008

20. Oligogenic inheritance in severe adult obesity.

Author

Almansoori S, Alsters SI, Yiorkas AM, Nor Hashim NA, Walters RG, Chahal HS, Purkayastha S, Lessan N, and Blakemore AIF

Subjects
Humans, Male, Adolescent, Adult, Female, Genetic Predisposition to Disease, Mutation, Penetrance, United Kingdom epidemiology, Pakistan, Multifactorial Inheritance genetics, Obesity, Morbid genetics, Exome Sequencing, Pedigree
Abstract

Background/objective: The genetic architecture of extreme non-syndromic obesity in adults remains to be elucidated. A range of genes are known to cause monogenic obesity, but even when pathogenic mutations are present, there may be variable penetrance., Methods: Whole-exome sequencing (WES) was carried out on a 15-year-old male proband of Pakistani ancestry who had severe obesity. This was followed by family segregation analysis, using Sanger sequencing. We also undertook re-analysis of WES data from 91 unrelated adults with severe obesity (86% white European ancestry) from the Personalised Medicine for Morbid Obesity (PMMO) cohort, recruited from the UK National Health Service., Results: We identified an oligogenic mode of inheritance of obesity in the proband's family-this provided the impetus to reanalyze existing sequence data in a separate dataset. Analysis of PMMO participant data revealed two further patients who carried more than one rare, predicted-deleterious mutation in a known monogenic obesity gene. In all three cases, the genes involved had known autosomal dominant inheritance, with incomplete penetrance., Conclusion: Oligogenic inheritance may explain some of the variable penetrance in Mendelian forms of obesity. We caution clinicians and researchers to avoid confining sequence analysis to individual genes and, in particular, not to stop looking when the first potentially-causative mutation is found., (© 2024. The Author(s).)

Published
2024
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21. Depression mediates the relationship between alexithymia and obesity in the Northern Finland Birth Cohort 1966 (NFBC1966).

Author

Ramzi NH, Auvinen J, Veijola J, Miettunen J, Ala-Mursula L, Sebert S, Keinänen-Kiukaanniemi S, Svento R, Jokelainen J, Drenos F, Dovey TM, Järvelin MR, and Blakemore AIF

Subjects
Humans, Adult, Finland epidemiology, Birth Cohort, Obesity epidemiology, Obesity psychology, Depression epidemiology, Depression diagnosis, Affective Symptoms psychology
Abstract

Background: The fact that a complex relationship exists between alexithymia and body mass index (BMI) is well established, but the underlying mechanisms remain poorly understood. Here, we explore the relationship between alexithymia and depressive symptoms in relation to adiposity measures, including the direct and indirect effect of alexithymia and depressive symptoms on obesity over a 15-year time-period, in the Northern Finland Birth Cohort 1966 (NFBC1966)., Methods: The study included individuals from the Northern Finland Birth Cohort 1966 (NFBC1966) who had available data for adiposity measures (body mass index and waist-to-hip ratio), alexithymia (measured by the 20-Item Toronto Alexithymia Scale: TAS-20), depressive symptoms (measured by the 13-item depression subscale of Hopkins Symptom Checklist: HSCL-13) at age of 31 years (n = 4773) and 46 years (n = 4431). Pearson's (r) correlation, and multiple linear regression were used to investigate the relationships between alexithymia, depressive symptoms, and adiposity measures. The potential mediating role of depressive symptoms was examined via Hayes' procedure (PROCESS)., Results: Positive correlations were confirmed between adiposity measures (BMI and WHR) and the TAS-20 score (and its subscale), but not between obesity and HSCL-13 score. The strongest correlation was between the DIF (difficulty identifying feelings) subscale of the TAS-20 and HSCL-13 at both time points (31 y: r (3013)  = 0.41, p < 0.01, 46 y: r (3013)  = 0.43, p < 0.01). Depressive symptoms completely (z = 2.55 (±0.00003), p = 0.01) and partly (z = 2.16 (±0.0001), p = 0.03) mediated the alexithymia-obesity relationship over the 15-year time-period., Limitations: Other psychological and environmental factors such as interoception, dietary intake and physical activities may also play a role as a potential mediating factor in alexithymia-obesity relationship., Conclusions: Our findings provide additional insights of theoretical framework of depressive symptoms mediation effect in the relationship between alexithymia and obesity. Alexithymia and depression should, therefore, be considered in the design of future clinical obesity research., Competing Interests: Conflict of interest All authors declare that they have no competing interests., (Copyright © 2023. Published by Elsevier B.V.)

Published
2023
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22. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI.

Author

Couto Alves A, De Silva NMG, Karhunen V, Sovio U, Das S, Taal HR, Warrington NM, Lewin AM, Kaakinen M, Cousminer DL, Thiering E, Timpson NJ, Bond TA, Lowry E, Brown CD, Estivill X, Lindi V, Bradfield JP, Geller F, Speed D, Coin LJM, Loh M, Barton SJ, Beilin LJ, Bisgaard H, Bønnelykke K, Alili R, Hatoum IJ, Schramm K, Cartwright R, Charles MA, Salerno V, Clément K, Claringbould AAJ, van Duijn CM, Moltchanova E, Eriksson JG, Elks C, Feenstra B, Flexeder C, Franks S, Frayling TM, Freathy RM, Elliott P, Widén E, Hakonarson H, Hattersley AT, Rodriguez A, Banterle M, Heinrich J, Heude B, Holloway JW, Hofman A, Hyppönen E, Inskip H, Kaplan LM, Hedman AK, Läärä E, Prokisch H, Grallert H, Lakka TA, Lawlor DA, Melbye M, Ahluwalia TS, Marinelli M, Millwood IY, Palmer LJ, Pennell CE, Perry JR, Ring SM, Savolainen MJ, Rivadeneira F, Standl M, Sunyer J, Tiesler CMT, Uitterlinden AG, Schierding W, O'Sullivan JM, Prokopenko I, Herzig KH, Smith GD, O'Reilly P, Felix JF, Buxton JL, Blakemore AIF, Ong KK, Jaddoe VWV, Grant SFA, Sebert S, McCarthy MI, and Järvelin MR

Subjects
Adaptor Proteins, Signal Transducing genetics, Adult, Child, Female, Genetic Predisposition to Disease, Genomics, Growth Charts, Humans, Infant, Intracellular Signaling Peptides and Proteins, Longitudinal Studies, Male, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Receptors, Leptin genetics, Body Mass Index, Genetic Association Studies, Genome-Wide Association Study, Quantitative Trait Loci, Quantitative Trait, Heritable
Abstract

Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health. We found a robust overlap between the genetics of child and adult body mass index (BMI), with variants associated with adult BMI acting as early as 4 to 6 years old. However, we demonstrated a completely distinct genetic makeup for peak BMI during infancy, influenced by variation at the LEPR/LEPROT locus. These findings suggest that different genetic factors control infant and child BMI. In light of the obesity epidemic, these findings are important to inform the timing and targets of prevention strategies., (Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).)

Published
2019
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23. Relationship between BMI and emotion-handling capacity in an adult Finnish population: The Northern Finland Birth Cohort 1966.

Author

Ramzi NH, Yiorkas AM, Sebert S, Keinänen-Kiukaanniemi S, Ala-Mursula L, Svento R, Jokelainen J, Veijola J, Auvinen J, Miettunen J, Dovey TM, Järvelin MR, and Blakemore AIF

Subjects
Adult, Body Mass Index, Female, Finland, Humans, Longitudinal Studies, Male, Middle Aged, Psychiatric Status Rating Scales, Affective Symptoms complications, Obesity complications
Abstract

Background: Alexithymia, a difficulty in identifying and expressing emotions, has been associated with obesity and eating disorders in small-scale cross-sectional studies. Here, we assess the relationship between body mass index (BMI) and alexithymia in a large cohort of free-living Finnish adults over a 15-year period., Methods: Participants were drawn from the Northern Finnish Birth Cohort 1966 (NFBC1966). The 20-Item Toronto Alexithymia Scale (TAS-20) was used as a measure of alexithymia and was completed at the age of 31 years (31y: n = 4841), and 46 years (46y: n = 5404). BMI was recorded at both time points. Where data at both time points were available (n = 3274), the relationship between changes in BMI and TAS-20 over this time period was also investigated., Results: BMI was significantly and positively associated with TAS-20 score (p<0.0001, both at 31 years and at 46 years of ages). The association remained statistically significant after adjustment for potential confounders (sex, marital status and several socio-economic indicators). In individuals who experienced the greatest change in BMI (in either direction) over the 15-year period, there was a modest mean increase in TAS-20 score., Conclusions: Our data revealed that TAS-20 score was correlated with and co-varied with body mass status. We suggest that future clinical research should consider the role of alexithymia in obesity. Further investigation of this relationship is warranted to ensure that the needs of obese subjects with undiagnosed alexithymia are considered in the design of weight management programmes., Competing Interests: The authors have declared that no competing interests exist.

Published
2018
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24. New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals.

Author

Kraja AT, Cook JP, Warren HR, Surendran P, Liu C, Evangelou E, Manning AK, Grarup N, Drenos F, Sim X, Smith AV, Amin N, Blakemore AIF, Bork-Jensen J, Brandslund I, Farmaki AE, Fava C, Ferreira T, Herzig KH, Giri A, Giulianini F, Grove ML, Guo X, Harris SE, Have CT, Havulinna AS, Zhang H, Jørgensen ME, Käräjämäki A, Kooperberg C, Linneberg A, Little L, Liu Y, Bonnycastle LL, Lu Y, Mägi R, Mahajan A, Malerba G, Marioni RE, Mei H, Menni C, Morrison AC, Padmanabhan S, Palmas W, Poveda A, Rauramaa R, Rayner NW, Riaz M, Rice K, Richard MA, Smith JA, Southam L, Stančáková A, Stirrups KE, Tragante V, Tuomi T, Tzoulaki I, Varga TV, Weiss S, Yiorkas AM, Young R, Zhang W, Barnes MR, Cabrera CP, Gao H, Boehnke M, Boerwinkle E, Chambers JC, Connell JM, Christensen CK, de Boer RA, Deary IJ, Dedoussis G, Deloukas P, Dominiczak AF, Dörr M, Joehanes R, Edwards TL, Esko T, Fornage M, Franceschini N, Franks PW, Gambaro G, Groop L, Hallmans G, Hansen T, Hayward C, Heikki O, Ingelsson E, Tuomilehto J, Jarvelin MR, Kardia SLR, Karpe F, Kooner JS, Lakka TA, Langenberg C, Lind L, Loos RJF, Laakso M, McCarthy MI, Melander O, Mohlke KL, Morris AP, Palmer CNA, Pedersen O, Polasek O, Poulter NR, Province MA, Psaty BM, Ridker PM, Rotter JI, Rudan I, Salomaa V, Samani NJ, Sever PJ, Skaaby T, Stafford JM, Starr JM, van der Harst P, van der Meer P, van Duijn CM, Vergnaud AC, Gudnason V, Wareham NJ, Wilson JG, Willer CJ, Witte DR, Zeggini E, Saleheen D, Butterworth AS, Danesh J, Asselbergs FW, Wain LV, Ehret GB, Chasman DI, Caulfield MJ, Elliott P, Lindgren CM, Levy D, Newton-Cheh C, Munroe PB, and Howson JMM

Subjects
Antiporters genetics, Cell Adhesion Molecules, Neuronal genetics, Databases, Factual, Genome-Wide Association Study, Genotype, Humans, Microfilament Proteins genetics, Phenotype, Polymorphism, Single Nucleotide, Receptors, Lymphocyte Homing genetics, Blood Pressure genetics, Genetic Loci
Abstract

Background: Genome-wide association studies have recently identified >400 loci that harbor DNA sequence variants that influence blood pressure (BP). Our earlier studies identified and validated 56 single nucleotide variants (SNVs) associated with BP from meta-analyses of exome chip genotype data. An additional 100 variants yielded suggestive evidence of association., Methods and Results: Here, we augment the sample with 140 886 European individuals from the UK Biobank, in whom 77 of the 100 suggestive SNVs were available for association analysis with systolic BP or diastolic BP or pulse pressure. We performed 2 meta-analyses, one in individuals of European, South Asian, African, and Hispanic descent (pan-ancestry, ≈475 000), and the other in the subset of individuals of European descent (≈423 000). Twenty-one SNVs were genome-wide significant ( P <5×10 - 8 ) for BP, of which 4 are new BP loci: rs9678851 (missense, SLC4A1AP ), rs7437940 ( AFAP1 ), rs13303 (missense, STAB1 ), and rs1055144 ( 7p15.2 ). In addition, we identified a potentially independent novel BP-associated SNV, rs3416322 (missense, SYNPO2L ) at a known locus, uncorrelated with the previously reported SNVs. Two SNVs are associated with expression levels of nearby genes, and SNVs at 3 loci are associated with other traits. One SNV with a minor allele frequency <0.01, (rs3025380 at DBH ) was genome-wide significant., Conclusions: We report 4 novel loci associated with BP regulation, and 1 independent variant at an established BP locus. This analysis highlights several candidate genes with variation that alter protein function or gene expression for potential follow-up., (© 2017 American Heart Association, Inc.)

Published
2017
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25. Associations of Leukocyte Telomere Length With Aerobic and Muscular Fitness in Young Adults.

Author

Williams DM, Buxton JL, Kantomaa MT, Tammelin TH, Blakemore AIF, and Järvelin MR

Subjects
Adult, Age Factors, Body Mass Index, Cross-Sectional Studies, Female, Finland, Hand Strength physiology, Humans, Leukocytes physiology, Male, Physical Endurance physiology, Sex Factors, Muscle Strength physiology, Physical Fitness physiology, Telomere Homeostasis physiology
Abstract

Decline in both telomere length and physical fitness over the life course may contribute to increased risk of several chronic diseases. The relationship between telomere length and aerobic and muscular fitness is not well characterized. We examined whether there are cross-sectional associations of mean relative leukocyte telomere length (LTL) with objective measures of aerobic fitness, muscle strength, and muscle endurance, using data on 31-year-old participants of the Northern Finland Birth Cohort 1966 (n = 4,952-5,205, varying by exposure-outcome analysis). Aerobic fitness was assessed by means of heart rate measurement following a standardized submaximal step test; muscular fitness was assessed by means of a maximal isometric handgrip strength test and a test of lower-back trunk muscle endurance. Longer LTL was associated with higher aerobic fitness and better trunk muscle endurance in models including adjustment for age, sex, body mass index, socioeconomic position, diet, smoking, alcohol consumption, physical activity level, and C-reactive protein. In a sex-stratified analysis, LTL was not associated with handgrip strength in either men or women. LTL may relate to aspects of physical fitness in young adulthood, but replication of these findings is required, along with further studies to help assess directions and causality in these associations., (© The Author 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Published
2017
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