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144 results on '"Warrington, NM"'

1. Maternal plasma cortisol’s effect on offspring birth weight: a Mendelian Randomisation study

Author: Thompson, WD, Reynolds, RM, Beaumont, RN, Warrington, NM, Tyrrell, J, Wood, AR, Evans, DM, McDonald, TJ, Hattersley, AH, Freathy, RM, Lawlor, DA, and Borges, MC
Published: 2024
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2. Fetal alleles predisposing to metabolically favourable adiposity are associated with higher birth weight

Author: Thompson, WD, primary, Beaumont, RN, additional, Kuang, A, additional, Warrington, NM, additional, Ji, Y, additional, Tyrrell, J, additional, Wood, AR, additional, Scholtens, D, additional, Knight, BA, additional, Evans, DM, additional, Lowe, WL, additional, Santorelli, G, additional, Azad, R, additional, Mason, D, additional, Hattersley, AT, additional, Frayling, TM, additional, Yaghootkar, H, additional, Borges, MC, additional, Lawlor, DA, additional, and Freathy, RM, additional
Published: 2020
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3. Higher maternal adiposity reduces offspring birth weight if associated with a metabolically favourable profile

Author: Thompson, WD, primary, Beaumont, RN, additional, Kuang, A, additional, Warrington, NM, additional, Ji, Y, additional, Tyrrell, J, additional, Wood, AR, additional, Scholtens, D, additional, Knight, BA, additional, Evans, DM, additional, Lowe, WL, additional, Santorelli, G, additional, Azad, R, additional, Mason, D, additional, Hattersley, AT, additional, Frayling, TM, additional, Yaghootkar, H, additional, Borges, MC, additional, Lawlor, DA, additional, and Freathy, RM, additional
Published: 2020
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4. 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

5. A genome-wide association study of body mass index across early life and childhood

Author: Warrington, NM, Howe, LD, Paternoster, L, Kaakinen, M, Herrala, S, Huikari, V, Wu, YY, Kemp, JP, Timpson, NJ, St Pourcain, B, Smith, GD, Tilling, K, Jarvelin, M-R, Pennell, CE, Evans, DM, Lawlor, DA, Briollais, L, and Palmer, LJ
Subjects: Male, Pediatric Obesity, Adolescent, Genotype, Epidemiology, EARLY-ONSET, LOCI, Mutation, Missense, Polymorphism, Single Nucleotide, Body Mass Index, BMI, Granulocyte Colony-Stimulating Factor, ADULT OBESITY, Raine, Humans, Child, Public, Environmental & Occupational Health, childhood, Science & Technology, genome-wide association study, 0104 Statistics, Body Weight, COMMON VARIANTS, nutritional and metabolic diseases, Infant, RNA-Binding Proteins, ALSPAC, GENE, Body Height, DIFFERENTIATION, 1117 Public Health And Health Services, Genetic Epidemiology, trajectory, Child, Preschool, Receptor, Melanocortin, Type 4, Female, WEIGHT, FTO, Chromosomes, Human, Pair 9, Life Sciences & Biomedicine, Adenylyl Cyclases
Abstract: Background: Several studies have investigated the effect of known adult body mass index (BMI) associated single nucleotide polymorphisms (SNPs) on BMI in childhood. There has been no genome-wide association study (GWAS) of BMI trajectories over childhood. Methods: We conducted a GWAS meta-analysis of BMI trajectories from 1 to 17 years of age in 9377 children (77 967 measurements) from the Avon Longitudinal Study of Parents and Children (ALSPAC) and the Western Australian Pregnancy Cohort (Raine) Study. Genome-wide significant loci were examined in a further 3918 individuals (48 530 measurements) from Northern Finland. Linear mixed effects models with smoothing splines were used in each cohort for longitudinal modelling of BMI. Results: A novel SNP, downstream from the FAM120AOS gene on chromosome 9, was detected in the meta-analysis of ALSPAC and Raine. This association was driven by a difference in BMI at 8 years (T allele of rs944990 increased BMI; PSNP = 1.52 × 10−8), with a modest association with change in BMI over time (PWald(Change) = 0.006). Three known adult BMI-associated loci (FTO, MC4R and ADCY3) and one childhood obesity locus (OLFM4) reached genome-wide significance (PWald
Published: 2015

6. The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects

Author: Middeldorp, CM, Mahajan, A, Horikoshi, M, Robertson, NR, Beaumont, RN, Bradfield, JP, Bustamante, M, Cousminer, DL, Day, FR, De Silva, NM, Guxens, M, Mook-Kanamori, DO, St Pourcain, B, Warrington, NM, Adair, LS, Ahlqvist, E, Ahluwalia, TS, Almgren, P, Ang, W, Atalay, M, Auvinen, J, Bartels, M, Beckmann, JS, Bilbao, JR, Bond, T, Borja, JB, Cavadino, A, Charoen, P, Chen, Z, Coin, L, Cooper, C, Curtin, JA, Custovic, A, Das, S, Davies, GE, Dedoussis, GV, Duijts, L, Eastwood, PR, Eliasen, AU, Elliott, P, Eriksson, JG, Estivill, X, Fadista, J, Fedko, IO, Frayling, TM, Gaillard, R, Gauderman, WJ, Geller, F, Gilliland, F, Gilsanz, V, Granell, R, Grarup, N, Groop, L, Hadley, D, Hakonarson, H, Hansen, T, Hartman, CA, Hattersley, AT, Hayes, MG, Hebebrand, J, Heinrich, J, Helgeland, O, Henders, AK, Henderson, J, Henriksen, TB, Hirschhorn, JN, Hivert, M-F, Hocher, B, Holloway, JW, Holt, P, Hottenga, J-J, Hypponen, E, Iniguez, C, Johansson, S, Jugessur, A, Kahonen, M, Kalkwarf, HJ, Kaprio, J, Karhunen, V, Kemp, JP, Kerkhof, M, Koppelman, GH, Korner, A, Kotecha, S, Kreiner-Moller, E, Kulohoma, B, Kumar, A, Kutalik, Z, Lahti, J, Lappe, JM, Larsson, H, Lehtimaki, T, Lewin, AM, Li, J, Lichtenstein, P, Lindgren, CM, Lindi, V, Linneberg, A, Liu, X, Liu, J, Lowe, WL, Lundstrom, S, Lyytikainen, L-P, Ma, RCW, Mace, A, Magi, R, Magnus, P, Mamun, AA, Mannikko, M, Martin, NG, Mbarek, H, McCarthy, NS, Medland, SE, Melbye, M, Melen, E, Mohlke, KL, Monnereau, C, Morgen, CS, Morris, AP, Murray, JC, Myhre, R, Najman, JM, Nivard, MG, Nohr, EA, Nolte, IM, Ntalla, I, O'Reilly, P, Oberfield, SE, Oken, E, Oldehinkel, AJ, Pahkala, K, Palviainen, T, Panoutsopoulou, K, Pedersen, O, Pennell, CE, Pershagen, G, Pitkanen, N, Plomin, R, Power, C, Prasad, RB, Prokopenko, I, Pulkkinen, L, Raikkonen, K, Raitakari, OT, Reynolds, RM, Richmond, RC, Rivadeneira, F, Rodriguez, A, Rose, RJ, Salem, R, Santa-Marina, L, Saw, S-M, Schnurr, TM, Scott, JG, Selzam, S, Shepherd, JA, Simpson, A, Skotte, L, Sleiman, PMA, Snieder, H, Sorensen, TIA, Standl, M, Steegers, EAP, Strachan, DP, Straker, L, Strandberg, T, Taylor, M, Teo, Y-Y, Thiering, E, Torrent, M, Tyrrell, J, Uitterlinden, AG, van Beijsterveldt, T, van der Most, PJ, van Duijn, CM, Viikari, J, Vilor-Tejedor, N, Vogelezang, S, Vonk, JM, Vrijkotte, TGM, Vuoksimaa, E, Wang, CA, Watkins, WJ, Wichmann, H-E, Willemsen, G, Williams, GM, Wilson, JF, Wray, NR, Xu, S, Xu, C-J, Yaghootkar, H, Yi, L, Zafarmand, MH, Zeggini, E, Zemel, BS, Hinney, A, Lakka, TA, Whitehouse, AJO, Sunyer, J, Widen, EE, Feenstra, B, Sebert, S, Jacobsson, B, Njolstad, PR, Stoltenberg, C, Smith, GD, Lawlor, DA, Paternoster, L, Timpson, NJ, Ong, KK, Bisgaard, H, Bonnelykke, K, Jaddoe, VWV, Tiemeier, H, Jarvelin, M-R, Evans, DM, Perry, JRB, Grant, SFA, Boomsma, DI, Freathy, RM, McCarthy, MI, Felix, JF, Middeldorp, CM, Mahajan, A, Horikoshi, M, Robertson, NR, Beaumont, RN, Bradfield, JP, Bustamante, M, Cousminer, DL, Day, FR, De Silva, NM, Guxens, M, Mook-Kanamori, DO, St Pourcain, B, Warrington, NM, Adair, LS, Ahlqvist, E, Ahluwalia, TS, Almgren, P, Ang, W, Atalay, M, Auvinen, J, Bartels, M, Beckmann, JS, Bilbao, JR, Bond, T, Borja, JB, Cavadino, A, Charoen, P, Chen, Z, Coin, L, Cooper, C, Curtin, JA, Custovic, A, Das, S, Davies, GE, Dedoussis, GV, Duijts, L, Eastwood, PR, Eliasen, AU, Elliott, P, Eriksson, JG, Estivill, X, Fadista, J, Fedko, IO, Frayling, TM, Gaillard, R, Gauderman, WJ, Geller, F, Gilliland, F, Gilsanz, V, Granell, R, Grarup, N, Groop, L, Hadley, D, Hakonarson, H, Hansen, T, Hartman, CA, Hattersley, AT, Hayes, MG, Hebebrand, J, Heinrich, J, Helgeland, O, Henders, AK, Henderson, J, Henriksen, TB, Hirschhorn, JN, Hivert, M-F, Hocher, B, Holloway, JW, Holt, P, Hottenga, J-J, Hypponen, E, Iniguez, C, Johansson, S, Jugessur, A, Kahonen, M, Kalkwarf, HJ, Kaprio, J, Karhunen, V, Kemp, JP, Kerkhof, M, Koppelman, GH, Korner, A, Kotecha, S, Kreiner-Moller, E, Kulohoma, B, Kumar, A, Kutalik, Z, Lahti, J, Lappe, JM, Larsson, H, Lehtimaki, T, Lewin, AM, Li, J, Lichtenstein, P, Lindgren, CM, Lindi, V, Linneberg, A, Liu, X, Liu, J, Lowe, WL, Lundstrom, S, Lyytikainen, L-P, Ma, RCW, Mace, A, Magi, R, Magnus, P, Mamun, AA, Mannikko, M, Martin, NG, Mbarek, H, McCarthy, NS, Medland, SE, Melbye, M, Melen, E, Mohlke, KL, Monnereau, C, Morgen, CS, Morris, AP, Murray, JC, Myhre, R, Najman, JM, Nivard, MG, Nohr, EA, Nolte, IM, Ntalla, I, O'Reilly, P, Oberfield, SE, Oken, E, Oldehinkel, AJ, Pahkala, K, Palviainen, T, Panoutsopoulou, K, Pedersen, O, Pennell, CE, Pershagen, G, Pitkanen, N, Plomin, R, Power, C, Prasad, RB, Prokopenko, I, Pulkkinen, L, Raikkonen, K, Raitakari, OT, Reynolds, RM, Richmond, RC, Rivadeneira, F, Rodriguez, A, Rose, RJ, Salem, R, Santa-Marina, L, Saw, S-M, Schnurr, TM, Scott, JG, Selzam, S, Shepherd, JA, Simpson, A, Skotte, L, Sleiman, PMA, Snieder, H, Sorensen, TIA, Standl, M, Steegers, EAP, Strachan, DP, Straker, L, Strandberg, T, Taylor, M, Teo, Y-Y, Thiering, E, Torrent, M, Tyrrell, J, Uitterlinden, AG, van Beijsterveldt, T, van der Most, PJ, van Duijn, CM, Viikari, J, Vilor-Tejedor, N, Vogelezang, S, Vonk, JM, Vrijkotte, TGM, Vuoksimaa, E, Wang, CA, Watkins, WJ, Wichmann, H-E, Willemsen, G, Williams, GM, Wilson, JF, Wray, NR, Xu, S, Xu, C-J, Yaghootkar, H, Yi, L, Zafarmand, MH, Zeggini, E, Zemel, BS, Hinney, A, Lakka, TA, Whitehouse, AJO, Sunyer, J, Widen, EE, Feenstra, B, Sebert, S, Jacobsson, B, Njolstad, PR, Stoltenberg, C, Smith, GD, Lawlor, DA, Paternoster, L, Timpson, NJ, Ong, KK, Bisgaard, H, Bonnelykke, K, Jaddoe, VWV, Tiemeier, H, Jarvelin, M-R, Evans, DM, Perry, JRB, Grant, SFA, Boomsma, DI, Freathy, RM, McCarthy, MI, and Felix, JF
Abstract: The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites.
Published: 2019

7. 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. Identification of 153 new loci associated with heel bone mineral density and functional involvement of GPC6 in osteoporosis

Author: Kemp, JP, Morris, JA, Medina-Gomez, C, Forgetta, V, Warrington, NM, Youlten, SE, Zheng, J, Gregson, CL, Grundberg, E, Trajanoska, K, Logan, JC, Pollard, AS, Sparkes, PC, Ghirardello, EJ, Allen, R, Butterfield, NC, Komla-Ebri, D, Adoum, AT, Curry, KF, White, JK, Kussy, F, Greenlaw, KM, Xu, C, Harvey, NC, Cooper, C, Adams, DJ, Greenwood, CMT, Maurano, MT, Kaptoge, SK, Rivadeneira, F, Tobias, JH, Croucher, PI, Ackert-Bicknell, C, Bassett, JHD, Williams, GR, Richards, JB, Evans, DM, Kaptoge, Stephen [0000-0002-1155-4872], and Apollo - University of Cambridge Repository
Subjects: musculoskeletal diseases, genetics research, genome-wide association studies, rheumatic diseases, health care economics and organizations
Abstract: Osteoporosis is a common disease diagnosed primarily by measurement of bone mineral density (BMD). We undertook a genome-wide association study in 142,487 individuals from the UK Biobank to identify loci associated with BMD estimated by quantitative ultrasound of the heel (“eBMD”). We identified 307 conditionally independent SNPs attaining genome-wide significance at 203 loci, explaining approximately 12% of the phenotypic variance. These included 153 novel loci, and several rare variants with large effect sizes. To investigate underlying mechanisms we undertook: 1) bioinformatic, functional genomic annotation and human osteoblast expression studies; 2) gene function prediction; 3) skeletal phenotyping of 120 knockout mice with deletions of genes adjacent to lead independent SNPs; and 4) analysis of gene expression in mouse osteoblasts, osteocytes and osteoclasts. These studies strongly implicate GPC6 as a novel determinant of BMD and also identify abnormal skeletal phenotypes in knockout mice for a further 100 prioritized genes.
Published: 2017

9. Genome-wide association study identifies nine novel loci for 2D: 4D finger ratio, a putative retrospective biomarker of testosterone exposure in utero

Author: Warrington, NM, Shevroja, Enisa, Hemani, G, Hysi, PG, Jiang, YX, Auton, A, Boer, Cindy, Mangino, M, Wang, CA, Kemp, JP, McMahon, G, Medina Gomez, Maria, Hickey, M, Trajanoska, Katerina, Wolke, D, Ikram, Arfan, Montgomery, GW, Felix, Janine, Wright, MJ, Mackey, DA, Jaddoe, Vincent, Martin, NG, Tung, JY, Smith, GD, Pennell, CE, Spector, TD, van Meurs, Joyce, Rivadeneira, Fernando, Medland, SE, Evans, DM, Warrington, NM, Shevroja, Enisa, Hemani, G, Hysi, PG, Jiang, YX, Auton, A, Boer, Cindy, Mangino, M, Wang, CA, Kemp, JP, McMahon, G, Medina Gomez, Maria, Hickey, M, Trajanoska, Katerina, Wolke, D, Ikram, Arfan, Montgomery, GW, Felix, Janine, Wright, MJ, Mackey, DA, Jaddoe, Vincent, Martin, NG, Tung, JY, Smith, GD, Pennell, CE, Spector, TD, van Meurs, Joyce, Rivadeneira, Fernando, Medland, SE, and Evans, DM
Published: 2018

10. Maternal and fetal genetic contribution to gestational weight gain

Author: Warrington, NM, Richmond, R, Fenstra, B, Myhre, R, Gaillard, Romy, Paternoster, L, Wang, CA, Beaumont, RN, Das, S, Murcia, M, Barton, SJ, Espinosa, A, Thiering, E, Atalay, M, Pitkanen, N, Ntalla, I, Jonsson, AE, Freathy, R, Karhunen, V, Tiesler, CMT, Allard, C, Crawford, A, Ring, SM, Melbye, M, Magnus, P, Rivadeneira, Fernando, Skotte, L, Hansen, T, Marsh, J, Guxens Junyent, Monica, Holloway, JW, Grallert, H, Jaddoe, Vincent, Lowe, WL, Roumeliotaki, T, Hattersley, AT, Lindi, V, Pahkala, K, Panoutsopoulou, K, Standl, M, Flexeder, C, Bouchard, L, Nohr, E, Marina, L, Kogevinas, M, Niinikoski, H, Dedoussis, G, Heinrich, J, Reynolds, RM, Lakka, T, Zeggini, E, Raitakari, OT, Chatzi, L, Inskip, HM, Bustamante, M, Hivert, MF, Jarvelin, MR, Sorensen, TIA, Pennell, C, Felix, Janine, Jacobsson, B, Geller, F, Evans, DM, Lawlor, DA, Warrington, NM, Richmond, R, Fenstra, B, Myhre, R, Gaillard, Romy, Paternoster, L, Wang, CA, Beaumont, RN, Das, S, Murcia, M, Barton, SJ, Espinosa, A, Thiering, E, Atalay, M, Pitkanen, N, Ntalla, I, Jonsson, AE, Freathy, R, Karhunen, V, Tiesler, CMT, Allard, C, Crawford, A, Ring, SM, Melbye, M, Magnus, P, Rivadeneira, Fernando, Skotte, L, Hansen, T, Marsh, J, Guxens Junyent, Monica, Holloway, JW, Grallert, H, Jaddoe, Vincent, Lowe, WL, Roumeliotaki, T, Hattersley, AT, Lindi, V, Pahkala, K, Panoutsopoulou, K, Standl, M, Flexeder, C, Bouchard, L, Nohr, E, Marina, L, Kogevinas, M, Niinikoski, H, Dedoussis, G, Heinrich, J, Reynolds, RM, Lakka, T, Zeggini, E, Raitakari, OT, Chatzi, L, Inskip, HM, Bustamante, M, Hivert, MF, Jarvelin, MR, Sorensen, TIA, Pennell, C, Felix, Janine, Jacobsson, B, Geller, F, Evans, DM, and Lawlor, DA
Published: 2018

11. Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics

Author: Beaumont, RN, Warrington, NM, Cavadino, A, Tyrrell, J, Nodzenski, M, Horikoshi, M, Geller, F, Myhre, R, Richmond, Rebecca, Paternoster, L, Bradfield, JP, Kreiner-Moller, E, Huikari, V, Metrustry, S, Lunetta, KL, Painter, JN, Hottenga, JJ, Allard, C, Barton, SJ, Espinosa, A, Marsh, JA, Potter, C, Zhang, G, Ang, W, Berry, DJ, Bouchard, L, Das, S, Hakonarson, H, Heikkinen, J, Helgeland, O, Hocher, B, Hofman, Bert, Inskip, HM, Jones, SE, Kogevinas, M, Lind, PA, Marullo, L, Medland, SE, Murray, A, Murray, JC, Njolstad, PR, Nohr, EA, Reichetzeder, C, Ring, SM, Ruth, KS, Santa-Marina, L, Scholtens, DM, Sebert, S, Sengpiel, V, Tuke, MA, Vaudel, M, Weedon, MN, Willemsen, G, Wood, AR, Yaghootkar, H, Muglia, LJ, Bartels, M, Relton, CL, Pennell, CE, Chatzi, L, Estivill, X, Holloway, JW, Boomsma, DI, Montgomery, GW, Murabito, JM, Spector, TD, Power, C, Jarvelin, MR, Bisgaard, H, Grant, SFA, Sorensen, TIA, Jaddoe, Vincent, Jacobsson, B, Melbye, M, McCarthy, MI, Hattersley, AT, Hayes, MG, Frayling, TM, Hivert, MF, Felix, Janine, Hypponen, E, Lowe, WL, Evans, DM, Lawlor, DA, Feenstra, B, Freathy, RM, Beaumont, RN, Warrington, NM, Cavadino, A, Tyrrell, J, Nodzenski, M, Horikoshi, M, Geller, F, Myhre, R, Richmond, Rebecca, Paternoster, L, Bradfield, JP, Kreiner-Moller, E, Huikari, V, Metrustry, S, Lunetta, KL, Painter, JN, Hottenga, JJ, Allard, C, Barton, SJ, Espinosa, A, Marsh, JA, Potter, C, Zhang, G, Ang, W, Berry, DJ, Bouchard, L, Das, S, Hakonarson, H, Heikkinen, J, Helgeland, O, Hocher, B, Hofman, Bert, Inskip, HM, Jones, SE, Kogevinas, M, Lind, PA, Marullo, L, Medland, SE, Murray, A, Murray, JC, Njolstad, PR, Nohr, EA, Reichetzeder, C, Ring, SM, Ruth, KS, Santa-Marina, L, Scholtens, DM, Sebert, S, Sengpiel, V, Tuke, MA, Vaudel, M, Weedon, MN, Willemsen, G, Wood, AR, Yaghootkar, H, Muglia, LJ, Bartels, M, Relton, CL, Pennell, CE, Chatzi, L, Estivill, X, Holloway, JW, Boomsma, DI, Montgomery, GW, Murabito, JM, Spector, TD, Power, C, Jarvelin, MR, Bisgaard, H, Grant, SFA, Sorensen, TIA, Jaddoe, Vincent, Jacobsson, B, Melbye, M, McCarthy, MI, Hattersley, AT, Hayes, MG, Frayling, TM, Hivert, MF, Felix, Janine, Hypponen, E, Lowe, WL, Evans, DM, Lawlor, DA, Feenstra, B, and Freathy, RM
Published: 2018

12. Large-scale GWAS identifies multiple loci for hand grip strength providing biological insights into muscular fitness

Author: Willems, SM, Wright, DJ, Day, FR, Trajanoska, K, Joshi, PK, Morris, JA, Matteini, AM, Garton, FC, Grarup, N, Oskolkov, N, Thalamuthu, A, Mangino, M, Liu, J, Demirkan, A, Lek, M, Xu, L, Wang, G, Oldmeadow, C, Gaulton, KJ, Lotta, LA, Miyamoto-Mikami, E, Rivas, MA, White, T, Loh, P-R, Aadahl, M, Amin, N, Attia, JR, Austin, K, Benyamin, B, Brage, S, Cheng, Y-C, Cięszczyk, P, Derave, W, Eriksson, K-F, Eynon, N, Linneberg, A, Lucia, A, Massidda, M, Mitchell, BD, Miyachi, M, Murakami, H, Padmanabhan, S, Pandey, A, Papadimitriou, I, Rajpal, DK, Sale, C, Schnurr, TM, Sessa, F, Shrine, N, Tobin, MD, Varley, I, Wain, LV, Wray, NR, Lindgren, CM, MacArthur, DG, Waterworth, DM, McCarthy, MI, Pedersen, O, Khaw, K-T, Kiel, DP, Oei, L, Zheng, H-F, Forgetta, V, Leong, A, Ahmad, OS, Laurin, C, Mokry, LE, Ross, S, Elks, CE, Bowden, J, Warrington, NM, Murray, A, Ruth, KS, Tsilidis, KK, Medina-Gómez, C, Estrada, K, Bis, JC, Chasman, DI, Demissie, S, Enneman, AW, Hsu, Y-H, Ingvarsson, T, Kähönen, M, Kammerer, C, Lacroix, AZ, Li, G, Liu, C-T, Liu, Y, Lorentzon, M, Mägi, R, Mihailov, E, Milani, L, Moayyeri, A, Nielson, CM, Sham, PC, Siggeirsdotir, K, Sigurdsson, G, Stefansson, K, Trompet, S, Thorleifsson, G, Vandenput, L, van der Velde, N, Viikari, J, Xiao, S-M, Zhao, JH, Evans, DS, Cummings, SR, Cauley, J, Duncan, EL, de Groot, LCPGM, Esko, T, Gudnason, V, Harris, TB, Jackson, RD, Jukema, JW, Ikram, AMA, Karasik, D, Kaptoge, S, Kung, AWC, Lehtimäki, T, Lyytikäinen, L-P, Lips, P, Luben, R, Metspalu, A, van Meurs, JBJ, Minster, RL, Orwoll, E, Oei, E, Psaty, BM, Raitakari, OT, Ralston, SW, Ridker, PM, Robbins, JA, Smith, AV, Styrkarsdottir, U, Tranah, GJ, Thorstensdottir, U, Uitterlinden, AG, Zmuda, J, Zillikens, MC, Ntzani, EE, Evangelou, E, Ioannidis, JPA, Evans, DM, Ohlsson, C, Pitsiladis, Y, Fuku, N, Franks, PW, North, KN, van Duijn, CM, Mather, KA, Hansen, T, Hansson, O, Spector, T, Murabito, JM, Richards, JB, Rivadeneira, F, Langenberg, C, Perry, JRB, Wareham, NJ, Scott, RA, Willems, Sara M, Wright, Daniel J, Day, Felix R, Trajanoska, Katerina, Benyamin, Beben, Scott, Robert A, GEFOS Anytype Fracture Consortium, Wright, Daniel [0000-0003-3983-2093], Day, Felix [0000-0003-3789-7651], White, Thomas [0000-0001-8456-0803], Brage, Soren [0000-0002-1265-7355], Khaw, Kay-Tee [0000-0002-8802-2903], Langenberg, Claudia [0000-0002-5017-7344], Perry, John [0000-0001-6483-3771], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Epidemiology, and Internal Medicine
Subjects: Male, Genome-wide association study, VARIANTS, Physical strength, DISEASE, Grip strength, 0302 clinical medicine, Neoplasm Proteins/genetics, GENETIC INFLUENCES, European Continental Ancestry Group/genetics, Aetiology, education.field_of_study, Hand Strength, Deporte, 3. Good health, Neoplasm Proteins, muscular fitness, Science & Technology - Other Topics, Medical genetics, medicine.medical_specialty, Science, 1.1 Normal biological development and functioning, European Continental Ancestry Group, ta3111, Article, White People, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, FRACTURES, Genetics, Humans, GENOME-WIDE ASSOCIATION, Genetik, Polymorphism, education, METAANALYSIS, Aged, VLAG, Global Nutrition, Wereldvoeding, Science & Technology, ta1184, Prevention, Hand/physiology, Biology and Life Sciences, INSTRUMENTS, Hand, GEFOS Any-Type of Fracture Consortium, Nuclear Proteins/genetics, Genetics, Population, 030104 developmental biology, Genetic Loci, 030217 neurology & neurosurgery, 0301 basic medicine, Transforming Growth Factor alpha/genetics, General Physics and Astronomy, Bioinformatics, GROWTH-FACTOR-ALPHA, Cohort Studies, Medicine and Health Sciences, 2.1 Biological and endogenous factors, ta315, Multidisciplinary, Nuclear Proteins, Single Nucleotide, Middle Aged, Multidisciplinary Sciences, MENDELIAN RANDOMIZATION, SKELETAL-MUSCLE, Female, Medical Genetics, Adult, Population, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Underpinning research, Hand strength, MD Multidisciplinary, Mendelian randomization, medicine, Life Science, Membrane Proteins/genetics, Deportes, Medicinsk genetik, Repressor Proteins/genetics, Whites, Actins/genetics, Membrane Proteins, General Chemistry, Transforming Growth Factor alpha, Genética, Actins, United Kingdom, Repressor Proteins, Good Health and Well Being, Exercise Physiology and nutrition, Musculoskeletal, genome-wide association, Genome-Wide Association Study
Abstract: Hand grip strength is a widely used proxy of muscular fitness, a marker of frailty, and predictor of a range of morbidities and all-cause mortality. To investigate the genetic determinants of variation in grip strength, we perform a large-scale genetic discovery analysis in a combined sample of 195,180 individuals and identify 16 loci associated with grip strength (P, Hand grip strength as a proxy of muscular fitness is a clinical predictor of mortality and morbidity. In a large-scale GWA study, the authors find 16 robustly associated genetic loci that highlight roles in muscle fibre structure and function, neuronal maintenance and nervous system signal transduction.
Published: 2017
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13. Genetic Basis for Gestation Length

Author: Pennell, CE, Warrington, NM, Mook-Kanamori, D, Lye, SJ, Newnham, JP, Palmer, LJ, Jaddoe, VWV, Freathy, RM, Jacobssen, B, Holloway, J, McCarthy, MI, Frayling, TM, Consortium, PGP, and Consortium, EGG
Published: 2016

14. Association of genetic Loci with glucose levels in childhood and adolescence: a meta-analysis of over 6,000 children

Author: Barker, A, Sharp, SJ, Timpson, NJ, Bouatia-Naji, N, Warrington, NM, Kanoni, S, Beilin, LJ, Brage, S, Deloukas, P, Evans, DM, Grontved, A, Hassanali, N, Lawlor, DA, Lecoeur, C, Loos, RJ, Lye, SJ, McCarthy, MI, Mori, TA, Ndiaye, NC, Newnham, JP, Ntalla, I, Pennell, CE, St Pourcain, B, Prokopenko, I, Ring, SM, Sattar, N, Visvikis-Siest, S, Dedoussis, GV, Palmer, LJ, Froguel, P, Smith, GD, Ekelund, U, Wareham, NJ, and Langenberg, C
Subjects: Blood Glucose, Male, Adenylate Cyclase, HOMEOSTASIS, ENDOCRINOLOGY & METABOLISM, Adolescent, VARIANT, Polymorphism, Single Nucleotide, Humans, Child, Glucose Transporter Type 2, Homeodomain Proteins, Science & Technology, INSULIN SENSITIVITY, MTNR1B, Tumor Suppressor Proteins, Fasting, 11 Medical And Health Sciences, Protein-Serine-Threonine Kinases, POLYMORPHISM, Cryptochromes, FASTING PLASMA-GLUCOSE, TWINS, Genetic Loci, Glucose-6-Phosphatase, SECRETION, Female, TYPE-2 DIABETES RISK, Life Sciences & Biomedicine, RESISTANCE, Adenylyl Cyclases, Genome-Wide Association Study, Transcription Factors
Abstract: OBJECTIVE-To investigate whether associations of common genetic variants recently identified for fasting glucose or insulin levels in nondiabetic adults are detectable in healthy children and adolescents. RESEARCH DESIGN AND METHODS-A total of 16 single nucleotide polymorphisms (SNPs) associated with fasting glucose were genotyped in six studies of children and adolescents of European origin, including over 6,000 boys and girls aged 9-16 years. We performed meta-analyses to test associations of individual SNPs and a weighted risk score of the 16 loci with fasting glucose. RESULTS-Nine loci were associated with glucose levels in healthy children and adolescents, with four of these associations reported in previous studies and five reported here for the first time (GLIS3, PROX1, SLC2A2, ADCY5, and CRY2). Effect sizes were similar to those in adults, suggesting age-independent effects of these fasting glucose loci. Children and adolescents carrying glucose-raising alleles of G6PC2, MTNR1B, GCK, and GLIS3 also showed reduced p-cell function, as indicated by homeostasis model assessment of beta-cell function. Analysis using a weighted risk score showed an increase [beta (95% CI)] in fasting glucose level of 0.026 mrnol/L (0.021-0.031) for each unit increase in the score. CONCLUSIONS-Novel fasting glucose loci identified in genome-wide association studies of adults are associated with altered fasting glucose levels in healthy children and adolescents with effect sizes comparable to adults. In nondiabetic adults, fasting glucose changes little over time, and our results suggest that age-independent effects of fasting glucose loci contribute to long-term interindividual differences in glucose levels from childhood onwards. Diabetes 60:1805-1812, 2011
Published: 2011
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15. Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing and childhood adiposity

Author: D. L. Cousminer, D. J. Berry, N. J. Timpson, W. Ang, E. Thiering, E. M. Byrne, H. R. Taal, V. Huikari, J. P. Bradfield, M. Kerkhof, M. M. Groen Blokhuis, E. Kreiner Moller, M. Marinelli, C. Holst, J. T. Leinonen, J. R. B. Perry, I. Surakka, O. Pietilainen, J. Kettunen, V. Anttila, M. Kaakinen, U. Sovio, A. Pouta, S. Das, V. Lagou, C. Power, I. Prokopenko, D. M. Evans, J. P. Kemp, B. St Pourcain, S. Ring, A. Palotie, E. Kajantie, C. Osmond, T. Lehtimaki, J. S. Viikari, M. Kahonen, N. M. Warrington, S. J. Lye, L. J. Palmer, C. M. T. Tiesler, C. Flexeder, G. W. Montgomery, S. E. Medland, A. Hofman, H. Hakonarson, M. Guxens, M. Bartels, V. Salomaa, J. M. Murabito, J. Kaprio, T. I. A. Sorensen, F. Ballester, H. Bisgaard, D. I. Boomsma, G. H. Koppelman, S. F. A. Grant, V. W. V. Jaddoe, N. G. Martin, J. Heinrich, C. E. Pennell, O. T. Raitakari, J. G. Eriksson, G. D. Smith, E. Hypponen, M. R. Jarvelin, M. I. McCarthy, S. Ripatti, E. Widen, Adair LS, Ang W, Atalay M, van Beijsterveldt T, Bergen N, Benke K, Berry DJ, Boomsma DI, Bradfield JP, Charoen P, Coin L, Cooper C, Cousminer DL, Das S, Davis OS, Dedoussis GV, Elliott P, Estivill X, Evans DM, Feenstra B, Flexeder C, Frayling T, Freathy RM, Gaillard R, Geller F, Gillman M, Grant SF, Groen Blokhuis M, Goh LK, Guxens M, Hakonarson H, Hattersley AT, Haworth CM, Hadley D, Hedebrand J, Heinrich J, Hinney A, Hirschhorn JN, Hocher B, Holloway JW, Holst C, Hottenga JJ, Horikoshi M, Huikari V, Hypponen E, Iñiguez C, Jaddoe VW, Jarvelin MR, Kaakinen M, Kilpeläinen TO, Kirin M, Kowgier M, Lakka HM, Lakka TA, Lange LA, Lawlor DA, Lehtimäki T, Lewin A, Lindgren C, Lindi V, Maggi R, Marsh J, McCarthy MI, Melbye M, Middeldorp C, Millwood I, Mohlke KL, Mook Kanamori DO, Murray JC, Nivard M, Nohr EA, Ntalla I, Oken E, Ong KK, O'Reilly PF, Palmer LJ, Panoutsopoulou K, Pararajasingham J, Pearson ER, Pennell CE, Power C, Price TS, Prokopenko I, Raitakari OT, Rodriguez A, Salem RM, Saw SM, Scherag A, Sebert S, Siitonen N, Simell O, Sørensen TI, Sovio U, Pourcain BS, Strachan DP, Sunyer J, Taal HR, Teo YY, Thiering E, Tiesler C, Timpson NJ, Uitterlinden AG, Valcárcel B, Warrington NM, White S, Widén E, Willemsen G, Wilson JF, Yaghootkar H, Zeggini E, Elks CE, Perry JR, Sulem P, Chasman DI, Franceschini N, He C, Lunetta KL, Visser JA, Byrne EM, Gudbjartsson DF, Esko T, Koller DL, Kutalik Z, Lin P, Mangino M, Marongiu M, McArdle PF, Smith AV, Stolk L, van Wingerden SH, Zhao JH, Albrecht E, Corre T, Ingelsson E, Hayward C, Magnusson PK, Smith EN, Ulivi S, Warrington M, Zgaga L, Alavere H, Amin N, Aspelund T, Bandinelli S, Barroso I, Berenson GS, Bergmann S, Blackburn H, Boerwinkle E, Buring JE, Busonero F, Campbell H, Chanock SJ, Chen W, Cornelis MC, Couper D, Coviello AD, de Faire U, de Geus EJ, Deloukas P, Döring A, Davey Smith G, Easton DF, Eiriksdottir G, Emilsson V, Eriksson J, Ferrucci L, Folsom AR, Foroud T, Garcia M, GASPARINI, PAOLO, Gieger C, Gudnason V, Hall P, Hankinson SE, Ferreli L, Heath AC, Hernandez DG, Hofman A, Hu FB, Illig T, Järvelin MR, Johnson AD, Karasik D, Khaw KT, Kiel DP, Kolcic I, Kraft P, Launer LJ, Laven JS, Li S, Liu J, Levy D, Martin NG, McArdle WL, Mooser V, Murray SS, Nalls MA, Navarro P, Nelis M, Ness AR, Northstone K, Oostra BA, Peacock M, Palotie A, Paré G, Parker AN, Pedersen NL, Peltonen L, Pharoah P, Polasek O, Plump AS, Pouta A, Porcu E, Rafnar T, Rice JP, Ring SM, Rivadeneira F, Rudan I, Sala C, Salomaa V, Sanna S, Schlessinger D, Schork NJ, Scuteri A, Segrè AV, Shuldiner AR, Soranzo N, Srinivasan SR, Tammesoo ML, Tikkanen E, Toniolo D, Tsui K, Tryggvadottir L, Tyrer J, Uda M, van Dam RM, van Meurs JB, Vollenweider P, Waeber G, Wareham NJ, Waterworth DM, Weedon MN, Wichmann HE, Wright AF, Young L, Zhai G, Zhuang WV, Bierut LJ, Boyd HA, Crisponi L, Demerath EW, van Duijn CM, Econs MJ, Harris TB, Hunter DJ, Loos RJ, Metspalu A, Montgomery GW, Ridker PM, Spector TD, Streeten EA, Stefansson K, Thorsteinsdottir U, Widen E, Murabito JM, Murray A., D'ADAMO, ADAMO PIO, Cousminer, Diana L, Berry, Diane J, Timpson, Nicholas J, Ang, Wei, Hyppönen, Elina, Widen, Elisabéth, ReproGen Consortium, Early Growth Genetics (EGG) Consortium, Pediatrics, Epidemiology, Internal Medicine, D. L., Cousminer, D. J., Berry, N. J., Timpson, W., Ang, E., Thiering, E. M., Byrne, H. R., Taal, V., Huikari, J. P., Bradfield, M., Kerkhof, M. M., Groen Blokhui, E., Kreiner Moller, M., Marinelli, C., Holst, J. T., Leinonen, J. R. B., Perry, I., Surakka, O., Pietilainen, J., Kettunen, V., Anttila, M., Kaakinen, U., Sovio, A., Pouta, S., Da, V., Lagou, C., Power, I., Prokopenko, D. M., Evan, J. P., Kemp, B., St Pourcain, S., Ring, A., Palotie, E., Kajantie, C., Osmond, T., Lehtimaki, J. S., Viikari, M., Kahonen, N. M., Warrington, S. J., Lye, L. J., Palmer, C. M. T., Tiesler, C., Flexeder, G. W., Montgomery, S. E., Medland, A., Hofman, H., Hakonarson, M., Guxen, M., Bartel, V., Salomaa, J. M., Murabito, J., Kaprio, T. I. A., Sorensen, F., Ballester, H., Bisgaard, D. I., Boomsma, G. H., Koppelman, S. F. A., Grant, V. W. V., Jaddoe, N. G., Martin, J., Heinrich, C. E., Pennell, O. T., Raitakari, J. G., Eriksson, G. D., Smith, E., Hypponen, M. R., Jarvelin, M. I., Mccarthy, S., Ripatti, E., Widen, Adair, L, Ang, W, Atalay, M, van Beijsterveldt, T, Bergen, N, Benke, K, Berry, Dj, Boomsma, Di, Bradfield, Jp, Charoen, P, Coin, L, Cooper, C, Cousminer, Dl, Das, S, Davis, O, Dedoussis, Gv, Elliott, P, Estivill, X, Evans, Dm, Feenstra, B, Flexeder, C, Frayling, T, Freathy, Rm, Gaillard, R, Geller, F, Gillman, M, Grant, Sf, Groen Blokhuis, M, Goh, Lk, Guxens, M, Hakonarson, H, Hattersley, At, Haworth, Cm, Hadley, D, Hedebrand, J, Heinrich, J, Hinney, A, Hirschhorn, Jn, Hocher, B, Holloway, Jw, Holst, C, Hottenga, Jj, Horikoshi, M, Huikari, V, Hypponen, E, Iñiguez, C, Jaddoe, Vw, Jarvelin, Mr, Kaakinen, M, Kilpeläinen, To, Kirin, M, Kowgier, M, Lakka, Hm, Lakka, Ta, Lange, La, Lawlor, Da, Lehtimäki, T, Lewin, A, Lindgren, C, Lindi, V, Maggi, R, Marsh, J, Mccarthy, Mi, Melbye, M, Middeldorp, C, Millwood, I, Mohlke, Kl, Mook Kanamori, Do, Murray, Jc, Nivard, M, Nohr, Ea, Ntalla, I, Oken, E, Ong, Kk, O'Reilly, Pf, Palmer, Lj, Panoutsopoulou, K, Pararajasingham, J, Pearson, Er, Pennell, Ce, Power, C, Price, T, Prokopenko, I, Raitakari, Ot, Rodriguez, A, Salem, Rm, Saw, Sm, Scherag, A, Sebert, S, Siitonen, N, Simell, O, Sørensen, Ti, Sovio, U, Pourcain, B, Strachan, Dp, Sunyer, J, Taal, Hr, Teo, Yy, Thiering, E, Tiesler, C, Timpson, Nj, Uitterlinden, Ag, Valcárcel, B, Warrington, Nm, White, S, Widén, E, Willemsen, G, Wilson, Jf, Yaghootkar, H, Zeggini, E, Elks, Ce, Perry, Jr, Sulem, P, Chasman, Di, Franceschini, N, He, C, Lunetta, Kl, Visser, Ja, Byrne, Em, Gudbjartsson, Df, Esko, T, Koller, Dl, Kutalik, Z, Lin, P, Mangino, M, Marongiu, M, Mcardle, Pf, Smith, Av, Stolk, L, van Wingerden, Sh, Zhao, Jh, Albrecht, E, Corre, T, Ingelsson, E, Hayward, C, Magnusson, Pk, Smith, En, Ulivi, S, Warrington, M, Zgaga, L, Alavere, H, Amin, N, Aspelund, T, Bandinelli, S, Barroso, I, Berenson, G, Bergmann, S, Blackburn, H, Boerwinkle, E, Buring, Je, Busonero, F, Campbell, H, Chanock, Sj, Chen, W, Cornelis, Mc, Couper, D, Coviello, Ad, D'Adamo, ADAMO PIO, de Faire, U, de Geus, Ej, Deloukas, P, Döring, A, Davey Smith, G, Easton, Df, Eiriksdottir, G, Emilsson, V, Eriksson, J, Ferrucci, L, Folsom, Ar, Foroud, T, Garcia, M, Gasparini, Paolo, Gieger, C, Gudnason, V, Hall, P, Hankinson, Se, Ferreli, L, Heath, Ac, Hernandez, Dg, Hofman, A, Hu, Fb, Illig, T, Järvelin, Mr, Johnson, Ad, Karasik, D, Khaw, Kt, Kiel, Dp, Kolcic, I, Kraft, P, Launer, Lj, Laven, J, Li, S, Liu, J, Levy, D, Martin, Ng, Mcardle, Wl, Mooser, V, Murray, S, Nalls, Ma, Navarro, P, Nelis, M, Ness, Ar, Northstone, K, Oostra, Ba, Peacock, M, Palotie, A, Paré, G, Parker, An, Pedersen, Nl, Peltonen, L, Pharoah, P, Polasek, O, Plump, A, Pouta, A, Porcu, E, Rafnar, T, Rice, Jp, Ring, Sm, Rivadeneira, F, Rudan, I, Sala, C, Salomaa, V, Sanna, S, Schlessinger, D, Schork, Nj, Scuteri, A, Segrè, Av, Shuldiner, Ar, Soranzo, N, Srinivasan, Sr, Tammesoo, Ml, Tikkanen, E, Toniolo, D, Tsui, K, Tryggvadottir, L, Tyrer, J, Uda, M, van Dam, Rm, van Meurs, Jb, Vollenweider, P, Waeber, G, Wareham, Nj, Waterworth, Dm, Weedon, Mn, Wichmann, He, Wright, Af, Young, L, Zhai, G, Zhuang, Wv, Bierut, Lj, Boyd, Ha, Crisponi, L, Demerath, Ew, van Duijn, Cm, Econs, Mj, Harris, Tb, Hunter, Dj, Loos, Rj, Metspalu, A, Montgomery, Gw, Ridker, Pm, Spector, Td, Streeten, Ea, Stefansson, K, Thorsteinsdottir, U, Widen, E, Murabito, Jm, Murray, A., Hedebrand, Johannes (Beitragende*r), Hinney, Anke (Beitragende*r), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Neuroscience Campus Amsterdam - Brain Imaging Technology, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Faculteit Medische Wetenschappen/UMCG, Groningen Research Institute of Pharmacy, and Groningen Research Institute for Asthma and COPD (GRIAC)
Subjects: Male, Netherlands Twin Register (NTR), Genetic Linkage, Medizin, Gene Expression, Genome-wide association study, VARIANTS, Body Mass Index, 0302 clinical medicine, genetic linkage, Transforming Growth Factor beta, Neoplasms, molecular biology, genetics, Child, Genetics (clinical), Adiposity, 2. Zero hunger, 0303 health sciences, adiposity, Mitogen-Activated Protein Kinase 3, Association Studies Articles, Age Factors, ACHONDROPLASIA, General Medicine, Genome-Wide Association Study, pubertal height growth, pubertal timing, Phenotype, OBESITY, Menarche, body height, Female, Signal Transduction, medicine.medical_specialty, age factors, CHROMOSOME 16P11.2, Adolescent, BIRTH, Quantitative Trait Loci, 030209 endocrinology & metabolism, Context (language use), Biology, Childhood obesity, MENARCHE, Young Adult, 03 medical and health sciences, AGE, SDG 3 - Good Health and Well-being, Prepuberty, Internal medicine, Genetics, medicine, Humans, Molecular Biology, 030304 developmental biology, Sign, FACTOR RECEPTOR-3, MUTATIONS, Puberty, ta3121, medicine.disease, Obesity, Body Height, Genetic architecture, Endocrinology, POPULATION COHORT, gene expression, Body mass index, Follow-Up Studies
Abstract: The pubertal height growth spurt is a distinctive feature of childhood growth reflecting both the central onset of puberty and local growth factors. Although little is known about the underlying genetics, growth variability during puberty correlates with adult risks for hormone-dependent cancer and adverse cardiometabolic health. The only gene so far associated with pubertal height growth, LIN28B, pleiotropically influences childhood growth, puberty and cancer progression, pointing to shared underlying mechanisms. To discover genetic loci influencing pubertal height and growth and to place them in context of overall growth and maturation, we performed genome-wide association meta-analyses in 18 737 European samples utilizing longitudinally collected height measurements. We found significant associations (P
Published: 2013
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16. Meta-analysis of genome-wide association studies identifies three new risk loci for atopic dermatitis

Author: Paternoster L, Standl M, Chen CM, Ramasamy A, Bxf8nnelykke K, Duijts L, Ferreira MA, Alves AC, Thyssen JP, Albrecht E, Baurecht H, Feenstra B, Sleiman PM, Hysi P, Warrington NM, Groen-Blokhuis MM, Hottenga JJ, Boomsma DI, Palmer LJ, Glass D, Hakonarson H, Melbye M, Jarvis DL, Jaddoe VW, Gieger C, Genetics of Overweight Young Adults (GOYA) Consortium, Strachan DP, Martin NG, Jarvelin MR, Heinrich J, Evans DM, Weidinger S, EArly Genetics & Lifecourse Epidemiology (EAGLE) Consortium, Paternoster L, Standl M, Chen CM, Ramasamy A, Bxf8nnelykke K, Duijts L, Ferreira MA, Alves AC, Thyssen JP, Albrecht E, Baurecht H, Feenstra B, Sleiman PM, Hysi P, Warrington NM, Groen-Blokhuis MM, Hottenga JJ, Boomsma DI, Palmer LJ, Glass D, Hakonarson H, Melbye M, Jarvis DL, Jaddoe VW, Gieger C, Genetics of Overweight Young Adults (GOYA) Consortium, Strachan DP, Martin NG, Jarvelin MR, Heinrich J, Evans DM, and Weidinger S
Published: 2012

17. A novel common variant in DCST2 is associated with length in early life and height in adulthood

Author: van der Valk RJ, Kreiner-Møller E, Kooijman MN, Guxens M, Stergiakouli E, Sääf A, Bradfield JP, Geller F, Hayes MG, Cousminer DL, Körner A, Thiering E, Curtin JA, Myhre R, Huikari V, Joro R, Kerkhof M, Warrington NM, Pitkänen N, Ntalla I, Horikoshi M, Veijola R, Freathy RM, Teo YY, Barton SJ, Evans DM, Kemp JP, St Pourcain B, Ring SM, Davey Smith G, Bergström A, Kull I, Hakonarson H, Mentch FD, Bisgaard H, Chawes B, Stokholm J, Waage J, Eriksen P, Sevelsted A, Melbye M, Early Genetics and Lifecourse Epidemiology (EAGLE) Consortium, van Duijn CM, Medina-Gomez C, Hofman A, de Jongste JC, Taal HR, Uitterlinden AG, Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Armstrong LL, Eriksson J, Palotie A, Bustamante M, Estivill X, Gonzalez JR, Llop S, Kiess W, Mahajan A, Flexeder C, Tiesler CM, Murray CS, Simpson A, Magnus P, Sengpiel V, Hartikainen AL, Keinanen-Kiukaanniemi S, Lewin A, Da Silva Couto Alves A, Blakemore AI, Buxton JL, Kaakinen M, Rodriguez A, Sebert S, Vaarasmaki M, Lakka T, Lindi V, Gehring U, Postma DS, Ang W, Newnham JP, Lyytikäinen LP, Pahkala K, Raitakari OT, Panoutsopoulou K, Zeggini E, Boomsma DI, Groen-Blokhuis M, Ilonen J, Franke L, Hirschhorn JN, Pers TH, Liang L, Huang J, Hocher B, Knip M, Saw SM, Holloway JW, Melén E, Grant SF, Feenstra B, Lowe WL, Widén E, Sergeyev E, Grallert H, Custovic A, Jacobsson B, Jarvelin MR, Atalay M, Koppelman GH, Pennell CE, Niinikoski H, Dedoussis GV, Mccarthy MI, Frayling TM, Sunyer J, Timpson NJ, Rivadeneira F, Bønnelykke K, Jaddoe VW, and Early Growth Genetics (EGG) Consortium
Subjects: Genetic variants, DCST2, Single nucleotide polymorphisms (SNPs), Skeletal growth, Adult height, Early growth
Abstract: Common genetic variants have been identified for adult height, but not much is known about the genetics of skeletal growth in early life. To identify common genetic variants that influence fetal skeletal growth, we meta-analyzed 22 genome-wide association studies (Stage 1; N = 28 459). We identified seven independent top single nucleotide polymorphisms (SNPs) (P < 1 × 10(-6)) for birth length, of which three were novel and four were in or near loci known to be associated with adult height (LCORL, PTCH1, GPR126 and HMGA2). The three novel SNPs were followed-up in nine replication studies (Stage 2; N = 11 995), with rs905938 in DC-STAMP domain containing 2 (DCST2) genome-wide significantly associated with birth length in a joint analysis (Stages 1 + 2; β = 0.046, SE = 0.008, P = 2.46 × 10(-8), explained variance = 0.05%). Rs905938 was also associated with infant length (N = 28 228; P = 5.54 × 10(-4)) and adult height (N = 127 513; P = 1.45 × 10(-5)). DCST2 is a DC-STAMP-like protein family member and DC-STAMP is an osteoclast cell-fusion regulator. Polygenic scores based on 180 SNPs previously associated with human adult stature explained 0.13% of variance in birth length. The same SNPs explained 2.95% of the variance of infant length. Of the 180 known adult height loci, 11 were genome-wide significantly associated with infant length (SF3B4, LCORL, SPAG17, C6orf173, PTCH1, GDF5, ZNFX1, HHIP, ACAN, HLA locus and HMGA2). This study highlights that common variation in DCST2 influences variation in early growth and adult height. R.M.F. is supported by a Sir Henry Wellcome Postdoctoral Fellowship (Wellcome Trust grant 085541/Z/08/Z). T.H.P. is supported by The Danish Council for Independent Research Medical Sciences (FSS) The Alfred Benzon Foundation. B.F. is supported by an Oak Foundation fellowship. M.M. is a Wellcome Trust Senior Investigator (Wellcome Trust grant 090532) and a NIHR Senior Investigator. T.M.F. is supported by the European Research Council grant: SZ-245 50371- GLUCOSEGENES-FP7-IDEAS-ERC. F.R. (VIDI 016.136.367) and V.W.V.J. (VIDI 016.136.361) received grants from the Netherlands Organization for Health Research and Development.
Published: 2015

18. 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

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

Author: Paternoster, L, Standl, M, Chen, CM, Ramasamy, A, Bønnelykke, K, Duijts, L, Ferreira, MA, Alves, AC, Thyssen, JP, Albrecht, E, Baurecht, H, Feenstra, B, Sleiman, PM, Hysi, P, Warrington, NM, Curjuric, I, Myhre, R, Curtin, JA, Groen-Blokhuis, MM, Kerkhof, M, Sääf, A, Franke, A, Ellinghaus, D, Fölster-Holst, R, Dermitzakis, E, Montgomery, SB, Prokisch, H, Heim, K, Hartikainen, AL, Pouta, A, Pekkanen, J, Blakemore, AI, Buxton, JL, Kaakinen, M, Duffy, DL, Madden, PA, Heath, AC, Montgomery, GW, Thompson, PJ, Matheson, MC, Le Souëf, P, Australian Asthma Genetics Consortium (AAGC), St Pourcain, B, Smith, GD, Henderson, J, Kemp, JP, Timpson, NJ, Deloukas, P, Ring, SM, Wichmann, HE, Müller-Nurasyid, M, Novak, N, Klopp, N, Rodríguez, E, McArdle, W, Linneberg, A, Menné, T, Nohr, EA, Hofman, A, Uitterlinden, AG, van Duijn, CM, Rivadeneira, F, de Jongste, JC, van der Valk, RJ, 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, CM, Thiering, E, Illig, T, Imboden, M, Nystad, W, Simpson, A, Hottenga, JJ, Postma, D, Koppelman, GH, Smit, HA, Söderhäll, C, Chawes, B, Kreiner-Møller, E, Bisgaard, H, Melén, E, Boomsma, DI, Custovic, A, Jacobsson, B, Probst-Hensch, NM, Palmer, LJ, Glass, D, Hakonarson, H, Melbye, M, Jarvis, DL, Jaddoe, VW, Gieger, C, Genetics of Overweight Young Adults (GOYA) Consortium, Strachan, DP, Martin, NG, Jarvelin, MR, Heinrich, J, Evans, DM, Weidinger, S, and EArly Genetics & Lifecourse Epidemiology (EAGLE) Consortium
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

20. Метаанализ геномных ассоциаций выявил новые локусы, ассоциированные с ожирением у детей

Author: Bradfield, Jp, Taal, Hr, Timpson, Nj, Scherag, A., Lecoeur, C., Warrington, Nm, Hypponen, E., Holst, C., Valcarcel, B., Thiering, E., Salem, Rm, Schumacher, Fr, Cousminer, Dl, Sleiman, Pm, Zhao, J., Berkowitz, Ri, Vimaleswaran, Ks, Jarick, I., Pennell, Ce, Evans, Dm, St, Pourcain, Berry, Dj, Mook-kanamori, Do, Hofman, A., Rivadeneira, F., Uitterlinden, Ag, Van, Duijn, VAN DER VALK RJ, De, Jongste, Postma, Ds, Boomsma, Di, Gauderman, Wj, Hassanein, Mt, Lindgren, Cm, Mägi, R., Boreham, Ca, Neville, Ce, Moreno, La, Elliott, P., Pouta, A., Hartikainen, Al, Li, M., Raitakari, O., Lehtimäki, T., Eriksson, Jg, Palotie, A., Dallongeville, J., Das, S., Deloukas, P., Mcmahon, G., Ring, Sm, Kemp, Jp, Buxton, Jl, Blakemore, Ai, Bustamante, M., Guxens, M., Hirschhorn, Jn, Gillman, Mw, Kreiner-møller, E., Bisgaard, H., Gilliland, Fd, Heinrich, J., Wheeler, E., Barroso, I., O'rahilly, S., Meirhaeghe, A., Sørensen, Ti, Power, C., Palmer, Lj, Hinney, A., Widen, E., Farooqi, Is, Mccarthy, Mi, Froguel, P., Meyre, D., Hebebrand, J., Jarvelin, Mr, Jaddoe, Vw, Smith, Gd, Hakonarson, H., and Grant, Sf
Published: 2012

21. Genome-Wide Association Study to Identify Common Variants Associated with Brachial Circumference: A Meta-Analysis of 14 Cohorts

Author: Boraska, V, Day-Williams, A, Franklin, CS, Elliott, KS, Panoutsopoulou, K, Tachmazidou, I, Albrecht, E, Bandinelli, S, Beilin, L, Bochud, M, Cadby, G, Ernst, F, Evans, David M., Hayward, C, Hicks, AA, Huffman, Jennifer, Huth, C, James, AL, Klopp, N, Kolcic, I, Kutalik, Z, Lawlor, Debbie A., Musk, AW, Pehlic, M, Pennell, CE, Perry, JRB, Peters, Annette, Polasek, O, St Pourcain, B, Ring, SM, Salvi, E, Schipf, S, Staessen, JA, Teumer, A, Timpson, N, Vitart, V, Warrington, NM, Yaghootkar, H, Zemunik, T, Zgaga, L, An, P, Anttila, V, Borecki, IB, Holmen, Jostein, Ntalla, I, Palotie, A, Pietilainen, KH, Wedenoja, J, Winsvold, Bendik Kristoffer Slagsvold, Dedoussis, GV, Kaprio, J, Province, MA, Zwart, John-Anker, Burnier, M, Campbell, H, Cusi, D, Smith, GD, Frayling, TM, Gieger, C, Palmer, LJ, Pramstaller, PP, Rudan, I, Volzke, H, Wichmann, HE, Wright, AF, and Zeggini, E
Abstract: Brachial circumference (BC), also known as upper arm or mid arm circumference, can be used as an indicator of muscle mass and fat tissue, which are distributed differently in men and women. Analysis of anthropometric measures of peripheral fat distribution such as BC could help in understanding the complex pathophysiology behind overweight and obesity. The purpose of this study is to identify genetic variants associated with BC through a large-scale genome-wide association scan (GWAS) meta-analysis. We used fixed-effects meta-analysis to synthesise summary results across 14 GWAS discovery and 4 replication cohorts comprising overall 22,376 individuals (12,031 women and 10,345 men) of European ancestry. Individual analyses were carried out for men, women, and combined across sexes using linear regression and an additive genetic model: adjusted for age and adjusted for age and BMI. We prioritised signals for follow-up in two-stages. We did not detect any signals reaching genome-wide significance. The FTO rs9939609 SNP showed nominal evidence for association (p
Published: 2012

22. Genome-wide association study to identify common variants associated with brachial circumference: a meta-analysis of 14 cohorts

Author: Boraska, Vesna, Day-Williams, A, Franklin, CS, Elliott, KS, Panoutsopoulou, K, Tachmazidou, I, Albrecht, E, Bandinelli, S, Beilin, LJ, Bochud, M, Cadby, G, Ernst, F, Evans, DM, Hayward, Caroline, Hicks, AA, Huffman, J, Huth, C, James, AL, Klopp, N, Kolcic, Ivana, Kutalik, Z, Lawlor, DA, Musk, AW, Pehlic, Marina, Pennell, CE, Perry, JR, Peters, A, Polasek, Ozren, St Pourcain, B, Ring, SM, Salvi, E, Schipf, S, Staessen, JA, Teumer, A, Timpson, N, Vitart, V, Warrington, NM, Yaghootkar, H, Zemunik, Tatijana, Zgaga, Lina, An, P, Anttila, V, Borecki, IB, Holmen, J, Ntalla, I, Palotie, A, Pietiläinen, KH, Wedenoja, J, Winsvold, BS, Dedoussis, GV, Kaprio, J, Province, MA, Zwart, JA, Burnier, M, Campbell. H, Cusi, D, Smith, GD, Frayling, TM, Gieger, C, Palmer, LJ, Pramstaller, PP, Rudan, Igor, Völzke, H, Wichmann, HE, Wright, AF, and Zeggini, E
Subjects: Brachial circumference, genetic variants, genome-wide association scan (GWAS) meta-analysis
Abstract: Brachial circumference (BC), also known as upper arm or mid arm circumference, can be used as an indicator of muscle mass and fat tissue, which are distributed differently in men and women. Analysis of anthropometric measures of peripheral fat distribution such as BC could help in understanding the complex pathophysiology behind overweight and obesity. The purpose of this study is to identify genetic variants associated with BC through a large-scale genome-wide association scan (GWAS) meta-analysis. We used fixed-effects meta-analysis to synthesise summary results across 14 GWAS discovery and 4 replication cohorts comprising overall 22, 376 individuals (12, 031 women and 10, 345 men) of European ancestry. Individual analyses were carried out for men, women, and combined across sexes using linear regression and an additive genetic model: adjusted for age and adjusted for age and BMI. We prioritised signals for follow-up in two-stages. We did not detect any signals reaching genome-wide significance. The FTO rs9939609 SNP showed nominal evidence for association (p
Published: 2012

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

Author: ADIPOGen Consortium, CARDIOGRAMplusC4D Consortium, CKDGen Consortium, GEFOS Consortium, GENIE Consortium, International Endogene Consortium, LifeLines Cohort Study, MAGIC Investigators, MuTHER Consortium, PAGE Consortium, ReproGen Consortium, GLGC, ICBP, Dastani, Z., Hivert, MF., Timpson, N., Perry, JR., Yuan, X., Scott, RA., Henneman, P., Heid, IM., Kizer, JR., Lyytikainen, LP., Fuchsberger, C., Tanaka, T., Morris, AP., Small, K., Isaacs, A., Beekman, M., Coassin, S., Lohman, K., Qi, L., Kanoni, S., Pankow, JS., Uh, HW., Wu, Y., Bidulescu, A., Rasmussen-Torvik, LJ., Greenwood, CM., Ladouceur, M., Grimsby, J., Manning, AK., Liu, CT., Kooner, J., Mooser, VE., Vollenweider, P., Kapur, KA., Chambers, J., Wareham, NJ., Langenberg, C., Frants, R., Willemsvan-vanDijk, K., Oostra, BA., Willems, SM., Lamina, C., Winkler, T., Psaty, BM., Tracy, RP., Brody, J., Chen, I., Viikari, J., Kähönen, M., Pramstaller, PP., Evans, DM., St Pourcain, B., Sattar, N., Wood, A., Bandinelli, S., Carlson, OD., Egan, JM., Böhringer, S., van Heemst, D., Kedenko, L., Kristiansson, K., Nuotio, ML., Loo, BM., Harris, T., Garcia, M., Kanaya, A., Haun, M., Klopp, N., Wichmann, HE., Deloukas, P., Katsareli, E., Couper, DJ., Duncan, BB., Kloppenburg, M., Adair, LS., Borja, JB., Wilson, JG., Musani, S., Guo, X., Johnson, T., Semple, R., Teslovich, TM., Allison, MA., Redline, S., Buxbaum, SG., Mohlke, KL., Meulenbelt, I., Ballantyne, CM., Dedoussis, GV., Hu, FB., Liu, Y., Paulweber, B., Spector, TD., Slagboom, P., Ferrucci, L., Jula, A., Perola, M., Raitakari, O., Florez, JC., Salomaa, V., Eriksson, JG., Frayling, TM., Hicks, AA., Lehtimäki, T., Smith, GD., Siscovick, DS., Kronenberg, F., van Duijn, C., Loos, RJ., Waterworth, DM., Meigs, JB., Dupuis, J., Richards, JB., Willenborg, C., Farrall, M., Assimes, TL., Thompson, JR., Ingelsson, E., Saleheen, D., Erdmann, J., Goldstein, BA., Stirrups, K., König, IR., Cazier, JB., Johansson£££Åsa£££ Å., Hall, AS., Lee, JY., Willer, CJ., Chambers, JC., Esko£££Tõnu£££ T., Folkersen, L., Goel, A., Grundberg, E., Havulinna, AS., Ho, WK., Hopewell, JC., Eriksson, N., Kleber, ME., Lundmark, P., Lyytikäinen, LP., Rafelt, S., Shungin, D., Strawbridge, RJ., Thorleifsson, G., Tikkanen, E., Van Zuydam, N., Voight, BF., Waite, LL., Zhang, W., Ziegler, A., Absher, D., Altshuler, D., Balmforth, AJ., Barroso£££Inês£££ I., Braund, PS., Burgdorf, C., Claudi-Boehm, S., Cox, D., Dimitriou, M., Do, R., Doney, AS., El Mokhtari, N., Eriksson, P., Fischer, K., Fontanillas, P., Franco-Cereceda, A., Gigante, B., Groop, L., Gustafsson, S., Hager, J., Hallmans, G., Han, BG., Hunt, SE., Kang, HM., Illig, T., Kessler, T., Knowles, JW., Kolovou, G., Kuusisto, J., Langford, C., Leander, K., Lokki, ML., Lundmark, A., McCarthy, MI., Meisinger, C., Melander, O., Mihailov, E., Maouche, S., Morris, AD., Müller-Nurasyid, M., Nikus, K., Peden, JF., Rayner, NW., Rasheed, A., Rosinger, S., Rubin, D., Rumpf, MP., Schäfer, A., Sivananthan, M., Song, C., Stewart, AF., Tan, ST., Thorgeirsson, G., van der Schoot CE., Wagner, PJ., Wells, GA., Wild, PS., Yang, TP., Amouyel, P., Arveiler, D., Basart, H., Boehnke, M., Boerwinkle, E., Brambilla, P., Cambien, F., Cupples, AL., de Faire, U., Dehghan, A., Diemert, P., Epstein, SE., Evans, A., Ferrario, MM., Ferrières, J., Gauguier, D., Go, AS., Goodall, AH., Gudnason, V., Hazen, S., Holm, H., Iribarren, C., Jang, Y., Kee, F., Kim, HS., Koenig, W., Kratzer, W., Kuulasmaa, K., Laakso, M., Laaksonen, R., Lind, L., Ouwehand, WH., Parish, S., Park, JE., Pedersen, NL., Peters, A., Quertermous, T., Rader, DJ., Schadt, E., Shah, SH., Sinisalo, J., Stark, K., Stefansson, K., Trégouët, DA., Virtamo, J., Wallentin, L., Wareham, N., Zimmermann, ME., Nieminen, MS., Hengstenberg, C., Sandhu, MS., Pastinen, T., Syvänen, AC., Hovingh, GK., Dedoussis, G., Franks, PW., Metspalu, A., Zalloua, PA., Siegbahn, A., Schreiber, S., Ripatti, S., Blankenberg, SS., Clarke, R., Boehm, BO., O'Donnell, C., Reilly, MP., 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AF., Campbell, H., Ellinghaus, D., Nöthlings, U., Jacobs, G., Biffar, R., Endlich, K., Ernst, F., Homuth, G., Kroemer, HK., Nauck, M., Stracke, S., Völker, U., Völzke, H., Kovacs, P., Stumvoll, M., Mägi, R., Hofman, A., Uitterlinden, AG., Rivadeneira, F., Aulchenko, YS., Polasek, O., Hastie, N., Vitart, V., Helmer, C., Wang, JJ., Ruggiero, D., Bergmann, S., Nikopensius, T., Province, M., Ketkar, S., Colhoun, H., Doney, A., Robino, A., Giulianini, F., Krämer, BK., Portas, L., Ford, I., Buckley, BM., Adam, M., Thun, GA., Sala, C., Metzger, M., Mitchell, P., Ciullo, M., Kim, SK., Palmer, C., Gasparini, P., Pirastu, M., Jukema, JW., Probst-Hensch, NM., Toniolo, D., Shuldiner, AR., Coresh, J., Schmidt, R., van Duijn CM., Borecki, I., Kardia, SL., Curhan, GC., Rudan, I., Gyllensten, U., Wilson, JF., Franke, A., Rettig, R., Prokopenko, I., Witteman, JC., Hayward, C., Ridker, P., Parsa, A., Bochud, M., Goessling, W., Chasman, DI., Kao, W., Fox, CS., de Boer IH., Glazer, NL., Peralta, CA., 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K.L.
Abstract: Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.
Published: 2015

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

Author: Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, 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Brambilla P, Burnett MS, CESANA, GIANCARLO, Elliott P, Eyjolfsson GI, Goodarzi MO, Grallert H, Gravito ML, Groves CJ, Hartikainen AL, Hung YJ, Jones MR, Kaleebu P, Kastelein JJ, Kim E, Komulainen P, Kumari M, Lin SY, Lindström J, Mach F, McArdle WL, Müller G, Nagaraja R, Narisu N, Nieminen TV, Nsubuga RN, Olafsson I, Ong KK, Palotie A, Papamarkou T, Pomilla C, Pouta A, Ruokonen A, Samani N, Scharnagl H, Seeley J, Silander K, Stančáková A, Swift AJ, Tiret L, van Pelt L, Vedantam S, Wainwright N, Wijmenga C, Willemsen G, Wilsgaard T, Young EH, Bennett F, Boomsma DI, Borecki IB, Bornstein SR, Bovet P, Burnier M, Chakravarti A, Chen YD, Collins FS, Cooper RS, Feranil AB, Freimer NB, Gieger C, Groop LC, Hingorani A, Hovingh G, Hsiung CA, Humphries SE, Hunt SC, Hveem K, Järvelin MR, Kaprio J, Kesäniemi A, Kivimaki M, Koudstaal PJ, Krauss RM, Kuh D, Kyvik KO, Lakka TA, Lindgren CM, Martin NG, McKenzie CA, Meneton P, Moilanen L, Munroe PB, Njølstad I, Power C, Price JF, Rauramaa R, Sanghera DK, Saramies J, Schwarz PE, Sheu WH, Strachan DP, Tayo BO, Tremoli E, Uusitupa M, Whitfield JB, Wolffenbuttel BH, Ordovas JM, Rich SS, Abecasis GR, Abecasis G, Caulfield M, Chasman D, Ehret G, Johnson A, Johnson L, Larson M, Levy D, Munroe P, Newton Cheh C, O'Reilly P, Palmas W, Psaty B, Rice K, Smith A, Snider H, Tobin M, Van Duijn C, Verwoert G, Rice KM, Tobin MD, Verwoert GC, Pihur V, O'Reilly PF, Launer L, Aulchenko Y, Heath S, Sõber S, Arora P, Zhang F, Lucas G, Milaneschi Y, Parker AN, Fava C, Fox ER, Go MJ, Sjögren M, Vinay D, Alexander M, Tabara Y, Shaw Hawkins S, Whincup PH, Shi G, Tayo B, Seielstad M, Sim X, Nguyen KD, Matullo G, Gaunt TR, Onland Moret NC, Cooper MN, Platou CG, Org E, Hardy R, Dahgam S, Palmen J, Kuznetsova T, Uiterwaal CS, Adeyemo A, Ludwig B, Tomaszewski M, Tzoulaki I, Palmer ND, Chang YP, Steinle NI, Grobbee DE, Morrison AC, Najjar S, Hadley D, Brown MJ, Connell JM, Hingorani AD, Day IN, Lawlor DA, Beilby JP, Lawrence RW, Ongen H, Li Y, Young JH, Bis JC, Lee NR, Bolton JA, Chaturvedi N, Islam M, Jafar TH, Kulkarni SR, Grässler J, Howard P, Guarrera S, Ricceri F, Emilsson V, Plump A, Weder AB, Sun YV, Bergman RN, Scott LJ, Stringham HM, Peltonen L, Vartiainen E, Brand SM, Staessen JA, Wang TJ, Burton PR, Artigas MS, Dong Y, Snieder H, Wang X, Zhu H, Lohman KK, Rudock ME, Heckbert SR, Smith NL, Wiggins KL, Doumatey A, Shriner D, Veldre G, Viigimaa M, Kinra S, Prabhakaran D, Tripathy V, Langefeld CD, Rosengren A, Thelle DS, Corsi AM, Singleton A, Forrester T, Hilton G, Salako T, Iwai N, Kita Y, Ogihara T, Ohkubo T, Okamura T, Ueshima H, Umemura S, Eyheramendy S, Meitinger T, Cho YS, Kim HL, Scott J, Sehmi JS, Hedblad B, Nilsson P, Stanèáková A, Raffel LJ, Yao J, Schwartz SM, Ikram M, Longstreth W. Jr, Mosley TH, Seshadri S, Shrine NR, Wain LV, Morken MA, Laitinen J, Zitting P, Cooper JA, van Gilst WH, Janipalli CS, Mani K, Yajnik CS, Mattace Raso FU, Lakatta EG, Orru M, Scuteri A, Ala Korpela M, Kangas AJ, Soininen P, Tukiainen T, Würtz P, Ong RT, Dörr M, Galan P, Hercberg S, Lathrop M, Zelenika D, Zhai G, Meschia JF, Nalls MA, Sharma P, Terzic J, Kumar M, Denniff M, Zukowska Szczechowska E, Wagenknecht LE, Fowkes F, Charchar FJ, Rotimi C, Bots ML, Brand E, Talmud PJ, Nyberg F, Laan M, Palmer LJ, van der Schouw YT, Casas JP, Vineis P, Ganesh SK, Wong TY, Tai ES, Rao DC, Morris RW, Dominiczak AF, Marmot MG, Miki T, Chandak GR, Zhu X, Gyllensten UB, Elosua R, Soranzo N, Sijbrands EJ, Uda M, Vasan RS, Larson MG, Caulfield MJ, Anderson CA, Gordon S, Guo Q, Henders A, Lambert A, Kraft P, Kennedy SH, Macgregor S, Missmer SA, Montgomery GW, Nyholt DR, Painter JN, Roseman F, Treloar SA, Visscher PM, Wallace L, Zondervan KT, Alizadeh B, de Boer RA, Boezen HM, Bruinenberg M, Franke L, Hillege HL, van der Klauw MM, Ormel J, Postma DS, Rosmalen JG, Slaets JP, Stolk RP, Lagou V, Welch RP, Wheeler E, Rehnberg E, Yengo L, Lecoeur C, Johnson PC, Mahajan A, Verweij N, Hottenga JJ, Sennblad B, Salo P, Timpson NJ, Hui J, Bielak LF, Zhao W, Horikoshi M, Navarro P, Fall T, Chen H, Robertson N, Rybin D, Chines PS, Song K, An P, Marullo L, Jansen H, Oldehinkel AJ, North KE, Forouhi NG, Edkins S, Varga TV, Oksa H, Antonella M, Kong A, Herder C, Antti J, Miljkovic I, Atalay M, Kiess W, James AL, Smit JH, Campbell S, Fowkes GR, Basart HV, Rathmann W, Maerz W, Province MA, Watanabe RM, de Geus EJ, Penninx BW, Oostra B, Toenjes A, Peyser PA, Körner A, Keinanen Kiukaanniemi SM, Saaristo TE, Boomsma D, Cucca F, Balkau B, Froguel P, Jarvelin MR, Bouatia Naji N, Ahmadi KR, Ainali C, Barrett A, Bataille V, Bell JT, Buil A, Dermitzakis ET, Dimas AS, Durbin R, Glass D, Hassanali N, Hedman ÅK, Ingle C, Keildson S, Knowles D, Krestyaninova M, Lowe CE, Meduri E, di Meglio P, Min JL, Montgomery SB, Nestle FO, Nica AC, Nisbet J, O'Rahilly S, Parts L, Potter S, Sekowska M, Shin SY, Small KS, Surdulescu G, Travers ME, Tsaprouni L, Tsoka S, Wilk A, Matise T, Buyske S, Higashio J, Williams R, Nato A, Ambite JL, Deelman E, Manolio T, Hindorff L, Heiss G, Taylor K, Avery C, Graff M, Lin D, Quibrera M, Cochran B, Kao L, Umans J, Cole S, MacCluer J, Person S, Pankow J, Gross M, Fornage M, Durda P, Jenny N, Patsy B, Arnold A, Buzkova P, Crawford D, Haines J, Murdock D, Glenn K, Brown Gentry K, Thornton Wells T, Dumitrescu L, Jeff J, Bush WS, Mitchell SL, Goodloe R, Wilson S, Boston J, Malinowski J, Restrepo N, Oetjens M, Fowke J, Zheng W, Spencer K, Ritchie M, Pendergrass S, Le Marchand L, Wilkens L, Park L, Tiirikainen M, Kolonel L, Lim U, Cheng I, Wang H, Shohet R, Haiman C, Stram D, Henderson B, Monroe K, Schumacher F, Peters U, Anderson G, Carlson C, Prentice R, LaCroix A, Wu C, Carty C, Gong J, Rosse S, Young A, Haessler J, Kocarnik J, Lin Y, Jackson R, Duggan D, Kuller L, Stolk L, He C, Sulem P, Barbalic M, Broer L, Byrne EM, Gudbjartsson DF, McArdle PF, Porcu E, van Wingerden S, Zhuang W, Albrecht E, Alizadeh BZ, Lauc LB, Broekmans FJ, Burri A, Chanock SJ, Chen C, Corre T, Coviello AD, d'Adamo P, Davies G, Deary IJ, Ebrahim S, Fauser BC, Ferreli L, Folsom AR, Garcia ME, Hall P, Haller T, Hankinson SE, Hass M, Heath AC, Janssens AC, Keyzer J, Lahti J, Lai S, Laisk T, Laven JS, Liu J, Lopez LM, Louwers YV, Marongiu M, Klaric IM, Masciullo C, McKnight B, Medland SE, Melzer D, Newman AB, Paré G, Peeters PH, Plump AS, Pop VJ, Räikkönen K, Salumets A, Smith JA, Stacey SN, Starr JM, Stathopoulou MG, Tenesa A, Thorand B, Tryggvadottir L, Tsui K, van Dam RM, van Gils CH, van Nierop P, Vink JM, Voorhuis M, Wallaschofski H, Widen E, Wijnands van Gent CJ, Zgaga L, Zygmunt M, Arnold AM, Buring JE, Crisponi L, Demerath EW, Hunter DJ, Schlessinger D, Murray A, Murabito JM, Visser JA, Lunetta KL, Elks CE, Cousminer DL, Feenstra B, Lin P, van Wingerden SW, Smith EN, Warrington NM, Alavere H, Berenson GS, Blackburn H, Busonero F, Chen W, Couper D, Easton DF, Foroud T, Geller F, Hernandez DG, Kilpeläinen TO, Li S, Melbye M, Murray JC, Murray SS, Nelis M, Ness AR, Northstone K, Pennell CE, Pharoah P, Rafnar T, Rice JP, Ring SM, Schork NJ, Segrè AV, Sovio U, Srinivasan SR, Tammesoo ML, Tyrer J, Weedon MN, Wichmann H, Young L, Zhuang WV, Bierut LJ, Boyd HA, and Murray A.
Abstract: Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, we conducted genome-wide association meta-analyses of waist and hip circumference-related traits in up to 224,459 individuals. We identified 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and an additional 19 loci newly associated with related waist and hip circumference measures (P<5×10-8). Twenty of the 49 WHRadjBMI loci showed significant sexual dimorphism, 19 of which displayed a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation, and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.
Published: 2015

25. Genome-wide meta-analysis of brachial circumference

Author: Boraska, Vesna, Day-Williams, A, Beazley, C, Albrecht, E, Beilin, LJ, Campbell, H, Ferrucci, L, Franklin, C, Gieger, C, Hayward, Caroline, Huth, C, Klopp, N, Kolčić, Ivana, Palmer, LJ, Pehlić, Marina, Pennell, CE, Perry, JRB, Peters, A, Polašek, Ozren, Rudan, Igor, Vitart, V, Warrington, NM, Wichmann, HE, Wright, AF, Yaghootkar, H, Zemunik, Tatijana, Zgaga, Lina, Elliott, K, Zeggini, Elefteria, and Walter E. Washington Convention Center
Subjects: brachial circumference, Genome-wide meta-analysis, Association analyses
Abstract: Introduction: Brachial circumference (BC), also known as upper arm or mid arm circumference, can be used as an indicator of muscle mass and fat tissue, which are differently distributed in men and women. The purpose of this study is to identify genetic variants associated with BC through a large-scale genome-wide association scan (GWAS) meta-analysis. Methods: To identify gender-specific effects underlying BC we used fixed-effects meta-analysis to synthesise data from 7 GWAS on 3551 males, 4152 females and on the combined set of 7703 individuals. Association analyses were adjusted for age and BMI. Reported investigations have been carried out following the principles of the Declaration of Helsinki. Results and Discussion: The male-specific meta-analysis identified a signal between the nuclear receptor co-repressor 2 (NCOR2) and scavenger receptor class B, member 1 (SCARB1) genes on chr12 (e.g. rs275771, β= 2.824, 95%CI [1.842, 3.806], p-value=1.74E-08). The NCOR2 gene has been suggested to play a role in the regulating adipose tissue accumulation and NCOR2 +/- mice develop increased adiposity on a high-fat diet but have normal weight on a regular diet. The SCARB1 gene acts as a high-density lipoprotein (HDL) receptor and is involved in both HDL and low-density lipoprotein (LDL) metabolism. The female-specific meta-analysis identified several associated variants within the SEC14-like 5 (S. cerevisiae) (SEC14L5) gene on chr16 (e.g. intronic SNP rs12444698, β= -2.382, 95%CI [-3.306, -1.458], p-value= 4.44E-07). A conserved domain of SEC14L5 gene, Sec14p-like lipid-binding domain, is found in secretory proteins and in lipid regulated proteins. Meta-analysis across males and females identified a region on chr9 spreading across 120kb (e.g. rs2383455, β= -2.025, 95%CI [-2.814, -1.238], p-value= 4.78E-07), with the closest gene 700kb away. Conclusion: In this first GWAS meta-analysis for BC to date, we have identified promising signals (below or close to the genome-wide significance level), which will require replication in independent datasets.
Published: 2010

26. Common variation near ROBO2 is associated with expressive vocabulary in infancy

Author: St Pourcain, B, Cents, RAM, Whitehouse, AJO, Haworth, CMA, Davis, OSP, O'Reilly, PF, Roulstone, S, Wren, Y, Ang, QW, Velders, FP, Evans, DM, Kemp, JP, Warrington, NM, Miller, L, Timpson, NJ, Ring, SM, Verhulst, Frank, Hofman, Bert, Rivadeneira, Fernando, Meaburn, EL, Price, TS, Dale, PS, Pillas, D, Yliherva, A, Rodriguez, A, Golding, J, Jaddoe, Vincent, Jarvelin, MR, Plomin, R, Pennell, CE, Tiemeier, Henning, Smith, GD, St Pourcain, B, Cents, RAM, Whitehouse, AJO, Haworth, CMA, Davis, OSP, O'Reilly, PF, Roulstone, S, Wren, Y, Ang, QW, Velders, FP, Evans, DM, Kemp, JP, Warrington, NM, Miller, L, Timpson, NJ, Ring, SM, Verhulst, Frank, Hofman, Bert, Rivadeneira, Fernando, Meaburn, EL, Price, TS, Dale, PS, Pillas, D, Yliherva, A, Rodriguez, A, Golding, J, Jaddoe, Vincent, Jarvelin, MR, Plomin, R, Pennell, CE, Tiemeier, Henning, and Smith, GD
Abstract: Twin studies suggest that expressive vocabulary at similar to 24 months is modestly heritable. However, the genes influencing this early linguistic phenotype are unknown. Here we conduct a genome-wide screen and follow-up study of expressive vocabulary in toddlers of European descent from up to four studies of the EArly Genetics and Lifecourse Epidemiology consortium, analysing an early (15-18 months, 'one-word stage', N-Total = 8,889) and a later (24-30 months, 'two-word stage', N-Total = 10,819) phase of language acquisition. For the early phase, one single-nucleotide polymorphism (rs7642482) at 3p12.3 near ROBO2, encoding a conserved axon-binding receptor, reaches the genome-wide significance level (P = 1.3 x 10(-8)) in the combined sample. This association links language-related common genetic variation in the general population to a potential autism susceptibility locus and a linkage region for dyslexia, speech-sound disorder and reading. The contribution of common genetic influences is, although modest, supported by genome-wide complex trait analysis (meta-GCTA h(5-18-months)(2) = 0.13, meta-GCTA h(24-30-months)(2) = 0.14) and in concordance with additional twin analysis (5,733 pairs of European descent, h(24-months)(2) = 0.20).
Published: 2014

27. Phenotypic Dissection of Bone Mineral Density Reveals Skeletal Site Specificity and Facilitates the Identification of Novel Loci in the Genetic Regulation of Bone Mass Attainment

Author: Kemp, JP, Medina-Gomez, C, Estrada Gil, Karol, St Pourcain, B, Heppe, Denise, Warrington, NM, Oei - Oei, Ling, Ring, SM, Kruithof, CJ (Claudia), Timpson, NJ, Wolber, LE, Reppe, S, Gautvik, K, Grundberg, E, Ge, B, van der Eerden, Bram, van de Peppel, Jeroen, Hibbs, MA, Ackert-Bicknell, CL, Choi, K, Koller, DL, Econs, MJ, Williams, FMK, Foroud, T, Zillikens, M.C., Ohlsson, C, Hofman, Bert, Uitterlinden, André, Smith, GD, Jaddoe, Vincent, Tobias, JH, Rivadeneira, Fernando, Evans, DM, Kemp, JP, Medina-Gomez, C, Estrada Gil, Karol, St Pourcain, B, Heppe, Denise, Warrington, NM, Oei - Oei, Ling, Ring, SM, Kruithof, CJ (Claudia), Timpson, NJ, Wolber, LE, Reppe, S, Gautvik, K, Grundberg, E, Ge, B, van der Eerden, Bram, van de Peppel, Jeroen, Hibbs, MA, Ackert-Bicknell, CL, Choi, K, Koller, DL, Econs, MJ, Williams, FMK, Foroud, T, Zillikens, M.C., Ohlsson, C, Hofman, Bert, Uitterlinden, André, Smith, GD, Jaddoe, Vincent, Tobias, JH, Rivadeneira, Fernando, and Evans, DM
Published: 2014

28. Genome-wide meta-analysis of common variant differences between men and women

Author: Boraska, V, Jeroncic, A, Colonna, V, Southam, L, Nyholt, DR, Rayner, NW, Perry, JRB, Toniolo, D, Albrecht, E, Ang, W, Bandinelli, S, Barbalic, M, Barroso, I, Beckmann, JS, Biffar, R, Boomsma, D, Campbell, H, Corre, T, Erdmann, J, Esko, T, Fischer, K (Kirsten), Franceschini, N, Frayling, TM, Girotto, G, Gonzalez, JR, Harris, TB, Heath, AC, Heid, IM, Hoffmann, W, Hofman, Bert, Horikoshi, M, Zhao, JH, Jackson, AU, Hottenga, JJ (Jouke Jan), Jula, A, Kahonen, M, Khaw, KT, Kiemeney, LA, Klopp, N, Kutalik, Z, Lagou, V, Launer, LJ (Lenore), Lehtimaki, T, Lemire, M, Lokki, ML, Loley, C, Luan, JA, Mangino, M, Leach, IM, Medland, SE, Mihailov, E, Montgomery, GW, Navis, G, Newnham, J, Nieminen, MS, Palotie, A, Panoutsopoulou, K, Peters, A, Pirastu, N, Polasek, O, Rehnstrom, K, Ripatti, S, Ritchie, GRS, Rivadeneira, Fernando, Robino, A, Samani, NJ, Shin, SY, Sinisalo, J, Smit, JH, Soranzo, N, Stolk, Lisette, Swinkels, DW, Tanaka, T, Teumer, A, Tonjes, A, Traglia, M, Tuomilehto, J, Valsesia, A, van Gilst, WH, van Meurs, Joyce, Smith, AV, Viikari, J, Vink, JM, Waeber, G, Warrington, NM, Widen, E, Willemsen, G, Wright, AF, Zanke, BW, Zgaga, L, Boehnke, M, d'Adamo, AP, de Geus, ED, Demerath, EW, Heijer, Mariska, Eriksson, JG, Ferrucci, L, Gieger, C, Gudnason, V, Hayward, C, Hengstenberg, C, Hudson, TJ, Jarvelin, MR, Kogevinas, M, Loos, RJF, Martin, NG, Metspalu, A, Pennell, CE, Penninx, BW, Perola, M, Raitakari, O, Salomaa, V, Schreiber, S, Schunkert, H, Spector, TD, Stumvoll, M, Uitterlinden, André, Ulivi, S, van der Harst, P, Vollenweider, P, Volzke, H, Wareham, NJ, Wichmann, HE, Wilson, JF, Rudan, I, Xue, YL, Zeggini, E, Boraska, V, Jeroncic, A, Colonna, V, Southam, L, Nyholt, DR, Rayner, NW, Perry, JRB, Toniolo, D, Albrecht, E, Ang, W, Bandinelli, S, Barbalic, M, Barroso, I, Beckmann, JS, Biffar, R, Boomsma, D, Campbell, H, Corre, T, Erdmann, J, Esko, T, Fischer, K (Kirsten), Franceschini, N, Frayling, TM, Girotto, G, Gonzalez, JR, Harris, TB, Heath, AC, Heid, IM, Hoffmann, W, Hofman, Bert, Horikoshi, M, Zhao, JH, Jackson, AU, Hottenga, JJ (Jouke Jan), Jula, A, Kahonen, M, Khaw, KT, Kiemeney, LA, Klopp, N, Kutalik, Z, Lagou, V, Launer, LJ (Lenore), Lehtimaki, T, Lemire, M, Lokki, ML, Loley, C, Luan, JA, Mangino, M, Leach, IM, Medland, SE, Mihailov, E, Montgomery, GW, Navis, G, Newnham, J, Nieminen, MS, Palotie, A, Panoutsopoulou, K, Peters, A, Pirastu, N, Polasek, O, Rehnstrom, K, Ripatti, S, Ritchie, GRS, Rivadeneira, Fernando, Robino, A, Samani, NJ, Shin, SY, Sinisalo, J, Smit, JH, Soranzo, N, Stolk, Lisette, Swinkels, DW, Tanaka, T, Teumer, A, Tonjes, A, Traglia, M, Tuomilehto, J, Valsesia, A, van Gilst, WH, van Meurs, Joyce, Smith, AV, Viikari, J, Vink, JM, Waeber, G, Warrington, NM, Widen, E, Willemsen, G, Wright, AF, Zanke, BW, Zgaga, L, Boehnke, M, d'Adamo, AP, de Geus, ED, Demerath, EW, Heijer, Mariska, Eriksson, JG, Ferrucci, L, Gieger, C, Gudnason, V, Hayward, C, Hengstenberg, C, Hudson, TJ, Jarvelin, MR, Kogevinas, M, Loos, RJF, Martin, NG, Metspalu, A, Pennell, CE, Penninx, BW, Perola, M, Raitakari, O, Salomaa, V, Schreiber, S, Schunkert, H, Spector, TD, Stumvoll, M, Uitterlinden, André, Ulivi, S, van der Harst, P, Vollenweider, P, Volzke, H, Wareham, NJ, Wichmann, HE, Wilson, JF, Rudan, I, Xue, YL, and Zeggini, E
Abstract: The male-to-female sex ratio at birth is constant across world populations with an average of 1.06 (106 male to 100 female live births) for populations of European descent. The sex ratio is considered to be affected by numerous biological and environmental factors and to have a heritable component. The aim of this study was to investigate the presence of common allele modest effects at autosomal and chromosome X variants that could explain the observed sex ratio at birth. We conducted a large-scale genome-wide association scan (GWAS) meta-analysis across 51 studies, comprising overall 114 863 individuals (61 094 women and 53 769 men) of European ancestry and 2 623 828 common (minor allele frequency 0.05) single-nucleotide polymorphisms (SNPs). Allele frequencies were compared between men and women for directly-typed and imputed variants within each study. Forward-time simulations for unlinked, neutral, autosomal, common loci were performed under the demographic model for European populations with a fixed sex ratio and a random mating scheme to assess the probability of detecting significant allele frequency differences. We do not detect any genome-wide significant (P 5 10(8)) common SNP differences between men and women in this well-powered meta-analysis. The simulated data provided results entirely consistent with these findings. This large-scale investigation across approximate to 115 000 individuals shows no detectable contribution from common genetic variants to the observed skew in the sex ratio. The absence of sex-specific differences is useful in guiding genetic association study design, for example when using mixed controls for sex-biased traits.
Published: 2012

29. Hospitalisation with Infection, Asthma and Allergy in Kawasaki Disease Patients and Their Families: Genealogical Analysis Using Linked Population Data

Author: Dubé, M-P, Webster, RJ, Carter, KW, Warrington, NM, Loh, AM, Zaloumis, S, Kuijpers, TW, Palmer, LJ, Burgner, DP, Dubé, M-P, Webster, RJ, Carter, KW, Warrington, NM, Loh, AM, Zaloumis, S, Kuijpers, TW, Palmer, LJ, and Burgner, DP
Abstract: BACKGROUND: Kawasaki disease results from an abnormal immunological response to one or more infectious triggers. We hypothesised that heritable differences in immune responses in Kawasaki disease-affected children and their families would result in different epidemiological patterns of other immune-related conditions. We investigated whether hospitalisation for infection and asthma/allergy were different in Kawasaki disease-affected children and their relatives. METHODS/MAJOR FINDINGS: We used Western Australian population-linked health data from live births (1970-2006) to compare patterns of hospital admissions in Kawasaki disease cases, age- and sex-matched controls, and their relatives. There were 295 Kawasaki disease cases and 598 age- and sex-matched controls, with 1,636 and 3,780 relatives, respectively. Compared to controls, cases were more likely to have been admitted at least once with an infection (cases, 150 admissions (50.8%) vs controls, 210 admissions (35.1%); odds ratio (OR) = 1.9, 95% confidence interval (CI) 1.4-2.6, P = 7.2×10⁻⁶), and with asthma/allergy (cases, 49 admissions (16.6%) vs controls, 42 admissions (7.0%); OR = 2.6, 95% CI 1.7-4.2, P = 1.3×10⁻⁵). Cases also had more admissions per person with infection (cases, median 2 admissions, 95% CI 1-5, vs controls, median 1 admission, 95% CI 1-4, P = 1.09×10⁻⁵). The risk of admission with infection was higher in the first degree relatives of Kawasaki disease cases compared to those of controls, but the differences were not significant. CONCLUSION: Differences in the immune phenotype of children who develop Kawasaki disease may influence the severity of other immune-related conditions, with some similar patterns observed in relatives. These data suggest the influence of shared heritable factors in these families.
Published: 2011

30. Association between Common Variation at the FTO Locus and Changes in Body Mass Index from Infancy to Late Childhood: The Complex Nature of Genetic Association through Growth and Development

Author: Sovio, U, Mook, Dennis, Warrington, NM, Lawrence, R, Briollais, L, Palmer, CNA, Cecil, J, Sandling, JK, Syvanen, AC, Kaakinen, M, Beilin, LJ, Millwood, IY, Bennett, AJ, Laitinen, J, Pouta, A, Molitor, J, Smith, GD, Ben-Shlomo, Y, Jaddoe, Vincent, Palmer, LJ, Pennell, CE, Cole, TJ, McCarthy, MI, Jarvelin, MR, Timpson, NJ, Sovio, U, Mook, Dennis, Warrington, NM, Lawrence, R, Briollais, L, Palmer, CNA, Cecil, J, Sandling, JK, Syvanen, AC, Kaakinen, M, Beilin, LJ, Millwood, IY, Bennett, AJ, Laitinen, J, Pouta, A, Molitor, J, Smith, GD, Ben-Shlomo, Y, Jaddoe, Vincent, Palmer, LJ, Pennell, CE, Cole, TJ, McCarthy, MI, Jarvelin, MR, and Timpson, NJ
Abstract: An age-dependent association between variation at the FTO locus and BMI in children has been suggested. We meta-analyzed associations between the FTO locus (rs9939609) and BMI in samples, aged from early infancy to 13 years, from 8 cohorts of European ancestry. We found a positive association between additional minor (A) alleles and BMI from 5.5 years onwards, but an inverse association below age 2.5 years. Modelling median BMI curves for each genotype using the LMS method, we found that carriers of minor alleles showed lower BMI in infancy, earlier adiposity rebound (AR), and higher BMI later in childhood. Differences by allele were consistent with two independent processes: earlier AR equivalent to accelerating developmental age by 2.37% (95% CI 1.87, 2.87, p = 10(-20)) per A allele and a positive age by genotype interaction such that BMI increased faster with age (p = 10 223). We also fitted a linear mixed effects model to relate genotype to the BMI curve inflection points adiposity peak (AP) in infancy and AR. Carriage of two minor alleles at rs9939609 was associated with lower BMI at AP (-0.40% (95% CI: -0.74, -0.06), p = 0.02), higher BMI at AR (0.93% (95% CI: 0.22, 1.64), p = 0.01), and earlier AR (-4.72% (-5.81, -3.63), p = 10 217), supporting cross-sectional results. Overall, we confirm the expected association between variation at rs9939609 and BMI in childhood, but only after an inverse association between the same variant and BMI in infancy. Patterns are consistent with a shift on the developmental scale, which is reflected in association with the timing of AR rather than just a global increase in BMI. Results provide important information about longitudinal gene effects and about the role of FTO in adiposity. The associated shifts in developmental timing have clinical importance with respect to known relationships between AR and both later-life BMI and metabolic disease risk.
Published: 2011

31. Variants in ADCY5 and near CCNL1 are associated with fetal growth and birth weight

Author: Freathy, RM, Mook-Kanamori, DO, Sovio, U, Prokopenko, I, Timpson, NJ, Berry, DJ, Warrington, NM, Widen, E, Hottenga, JJ, Kaakinen, M, Lange, LA, Bradfield, JP, Kerkhof, M, Marsh, JA, Maegi, R, Chen, C-M, Lyon, HN, Kirin, M, Adair, LS, Aulchenko, YS, Bennett, AJ, Borja, JB, Bouatia-Naji, N, Charoen, P, Coin, LJM, Cousminer, DL, de Geus, EJC, Deloukas, P, Elliott, P, Evans, DM, Froguel, P, Glaser, B, Groves, CJ, Hartikainen, A-L, Hassanali, N, Hirschhorn, JN, Hofman, A, Holly, JMP, Hyppoenen, E, Kanoni, S, Knight, BA, Laitinen, J, Lindgren, CM, McArdle, WL, O'Reilly, PF, Pennell, CE, Postma, DS, Pouta, A, Ramasamy, A, Rayner, NW, Ring, SM, Rivadeneira, F, Shields, BM, Strachan, DP, Surakka, I, Taanila, A, Tiesler, C, Uitterlinden, AG, van Duijn, CM, Wijga, AH, Willemsen, G, Zhang, H, Zhao, J, Wilson, JF, Steegers, EAP, Hattersley, AT, Eriksson, JG, Peltonen, L, Mohlke, KL, Grant, SFA, Hakonarson, H, Koppelman, GH, Dedoussis, GV, Heinrich, J, Gillman, MW, Palmer, LJ, Frayling, TM, Boomsma, DI, Smith, GD, Power, C, Jaddoe, VWV, Jarvelin, M-R, McCarthy, MI, Freathy, RM, Mook-Kanamori, DO, Sovio, U, Prokopenko, I, Timpson, NJ, Berry, DJ, Warrington, NM, Widen, E, Hottenga, JJ, Kaakinen, M, Lange, LA, Bradfield, JP, Kerkhof, M, Marsh, JA, Maegi, R, Chen, C-M, Lyon, HN, Kirin, M, Adair, LS, Aulchenko, YS, Bennett, AJ, Borja, JB, Bouatia-Naji, N, Charoen, P, Coin, LJM, Cousminer, DL, de Geus, EJC, Deloukas, P, Elliott, P, Evans, DM, Froguel, P, Glaser, B, Groves, CJ, Hartikainen, A-L, Hassanali, N, Hirschhorn, JN, Hofman, A, Holly, JMP, Hyppoenen, E, Kanoni, S, Knight, BA, Laitinen, J, Lindgren, CM, McArdle, WL, O'Reilly, PF, Pennell, CE, Postma, DS, Pouta, A, Ramasamy, A, Rayner, NW, Ring, SM, Rivadeneira, F, Shields, BM, Strachan, DP, Surakka, I, Taanila, A, Tiesler, C, Uitterlinden, AG, van Duijn, CM, Wijga, AH, Willemsen, G, Zhang, H, Zhao, J, Wilson, JF, Steegers, EAP, Hattersley, AT, Eriksson, JG, Peltonen, L, Mohlke, KL, Grant, SFA, Hakonarson, H, Koppelman, GH, Dedoussis, GV, Heinrich, J, Gillman, MW, Palmer, LJ, Frayling, TM, Boomsma, DI, Smith, GD, Power, C, Jaddoe, VWV, Jarvelin, M-R, and McCarthy, MI
Abstract: To identify genetic variants associated with birth weight, we meta-analyzed six genome-wide association (GWA) studies (n = 10,623 Europeans from pregnancy/birth cohorts) and followed up two lead signals in 13 replication studies (n = 27,591). rs900400 near LEKR1 and CCNL1 (P = 2 x 10(-35)) and rs9883204 in ADCY5 (P = 7 x 10(-15)) were robustly associated with birth weight. Correlated SNPs in ADCY5 were recently implicated in regulation of glucose levels and susceptibility to type 2 diabetes, providing evidence that the well-described association between lower birth weight and subsequent type 2 diabetes has a genetic component, distinct from the proposed role of programming by maternal nutrition. Using data from both SNPs, we found that the 9% of Europeans carrying four birth weight-lowering alleles were, on average, 113 g (95% CI 89-137 g) lighter at birth than the 24% with zero or one alleles (P(trend) = 7 x 10(-30)). The impact on birth weight is similar to that of a mother smoking 4-5 cigarettes per day in the third trimester of pregnancy.
Published: 2010

32. A genome-wide association meta-analysis identifies new childhood obesity loci

Author: Bradfield JP, -, primary, Taal HR, -, additional, Timpson NJ, -, additional, Scherag A, -, additional, Lecoeur C, -, additional, Warrington NM, -, additional, Hypponen E, -, additional, Holst C, -, additional, Valcarcel B, -, additional, Thiering E, -, additional, Salem RM, -, additional, Schumacher FR, -, additional, Cousminer DL, -, additional, Sleiman PM, -, additional, Zhao J, -, additional, Berkowitz RI, -, additional, Vimaleswaran KS, -, additional, Jarick I, -, additional, Pennell CE, -, additional, Evans DM, -, additional, St Pourcain B, -, additional, Berry DJ, -, additional, Mook-Kanamori DO, -, additional, Hofman A, -, additional, Rivadeneira F, -, additional, Uitterlinden AG, -, additional, Van Duijn CM, -, additional, Van der Valk RJ, -, additional, De Jongste JC, -, additional, Postma DS, -, additional, Boomsma DI, -, additional, Gauderman WJ, -, additional, Hassanein MT, -, additional, Lindgren CM, -, additional, Mägi R, -, additional, Boreham CA, -, additional, Neville CE, -, additional, Moreno LA, -, additional, Elliott P, -, additional, Pouta A, -, additional, Hartikainen AL, -, additional, Li M, -, additional, Raitakari O, -, additional, Lehtimäki T, -, additional, Eriksson JG, -, additional, Palotie A, -, additional, Dallongeville J, -, additional, Das S, -, additional, Deloukas P, -, additional, McMahon G, -, additional, Ring SM, -, additional, Kemp JP, -, additional, Buxton JL, -, additional, Blakemore AI, -, additional, Bustamante M, -, additional, Guxens M, -, additional, Hirschhorn JN, -, additional, Gillman MW, -, additional, Kreiner-Møller E, -, additional, Bisgaard H, -, additional, Gilliland FD, -, additional, Heinrich J, -, additional, Wheeler E, -, additional, Barroso I, -, additional, O'Rahilly S, -, additional, Meirhaeghe A, -, additional, Sørensen TI, -, additional, Power C, -, additional, Palmer LJ, -, additional, Hinney A, -, additional, Widen E, -, additional, Farooqi IS, -, additional, McCarthy MI, -, additional, Froguel P, -, additional, Meyre D, -, additional, Hebebrand J, -, additional, Jarvelin MR, -, additional, Jaddoe VW, -, additional, Smith GD, -, additional, Hakonarson H, -, additional, and Grant, SF, additional
Published: 2012
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33. Genome-wide associations for birth weight and correlations with adult disease

Author: Horikoshi, M, Beaumont, RN, Day, FR, Warrington, NM, Kooijman, MN, Fernandez-Tajes, J, Feenstra, B, Van Zuydam, NR, Gaulton, KJ, Grarup, N, Bradfield, JP, Strachan, DP, Li-Gao, R, Ahluwalia, TS, Kreiner, E, Rueedi, R, Lyytikäinen, L-P, Cousminer, DL, Wu, Y, Thiering, E, Wang, CA, Have, CT, Hottenga, J-J, Vilor-Tejedor, N, Joshi, PK, Boh, ETH, Ntalla, I, Pitkänen, N, Mahajan, A, Van Leeuwen, EM, Joro, R, Lagou, V, Nodzenski, M, Diver, LA, Zondervan, KT, Bustamante, M, Marques-Vidal, P, Mercader, JM, Bennett, AJ, Rahmioglu, N, Nyholt, DR, Ma, RCW, Tam, CHT, Tam, WH, CHARGE Consortium Hematology Working Group, Ganesh, SK, Van Rooij, FJA, Jones, SE, Loh, P-R, Ruth, KS, Tuke, MA, Tyrrell, J, Wood, AR, Yaghootkar, H, Scholtens, DM, Paternoster, L, Prokopenko, I, Kovacs, P, Atalay, M, Willems, SM, Panoutsopoulou, K, Wang, X, Carstensen, L, Geller, F, Schraut, KE, Murcia, M, Van Beijsterveldt, CEM, Willemsen, G, Appel, EVR, Fonvig, CE, Trier, C, Tiesler, CMT, Standl, M, Kutalik, Z, Bonàs-Guarch, S, Hougaard, DM, Sánchez, F, Torrents, D, Waage, J, Hollegaard, MV, De Haan, HG, Rosendaal, FR, Medina-Gomez, C, Ring, SM, Hemani, G, McMahon, G, Robertson, NR, Groves, CJ, Langenberg, C, Luan, J, Scott, RA, Zhao, JH, Mentch, FD, MacKenzie, SM, Reynolds, RM, Early Growth Genetics (EGG) Consortium, Lowe, WL, Tönjes, A, Stumvoll, M, Lindi, V, Lakka, TA, Van Duijn, CM, Kiess, W, Körner, A, Sørensen, TIA, Niinikoski, H, Pahkala, K, Raitakari, OT, Zeggini, E, Dedoussis, GV, Teo, Y-Y, Saw, S-M, Melbye, M, Campbell, H, Wilson, JF, Vrijheid, M, De Geus, EJCN, Boomsma, DI, Kadarmideen, HN, Holm, J-C, Hansen, T, Sebert, S, Hattersley, AT, Beilin, LJ, Newnham, JP, Pennell, CE, Heinrich, J, Adair, LS, Borja, JB, Mohlke, KL, Eriksson, JG, Widén, E, Kähönen, M, Viikari, JS, Lehtimäki, T, Vollenweider, P, Bønnelykke, K, Bisgaard, H, Mook-Kanamori, DO, Hofman, A, Rivadeneira, F, Uitterlinden, AG, Pisinger, C, Pedersen, O, Power, C, Hyppönen, E, Wareham, NJ, Hakonarson, H, Davies, E, Walker, BR, Jaddoe, VWV, Järvelin, M-R, Grant, SFA, Vaag, AA, Lawlor, DA, Frayling, TM, Smith, GD, Morris, AP, Ong, KK, Felix, JF, Timpson, NJ, Perry, JRB, Evans, DM, McCarthy, MI, and Freathy, RM
Subjects: quantitative trait, hypertension, intrauterine growth, genome-wide association studies, metabolic disorders, 3. Good health
Abstract: Birth weight (BW) has been shown to be influenced by both fetal and maternal factors and in observational studies is reproducibly associated with future risk of adult metabolic diseases including type 2 diabetes (T2D) and cardiovascular disease. These life-course associations have often been attributed to the impact of an adverse early life environment. Here, we performed a multi-ancestry genome-wide association study (GWAS) meta-analysis of BW in 153,781 individuals, identifying 60 loci where fetal genotype was associated with BW ($\textit{P}$ < 5 × 10$^{-8}$). Overall, approximately 15% of variance in BW was captured by assays of fetal genetic variation. Using genetic association alone, we found strong inverse genetic correlations between BW and systolic blood pressure ($\textit{R}$ $_{g}$ = -0.22, $\textit{P}$ = 5.5 × 10$^{-13}$), T2D ($\textit{R}$ $_{g}$ = -0.27, $\textit{P}$ = 1.1 × 10$^{-6}$) and coronary artery disease ($\textit{R}$ $_{g}$ = -0.30, $\textit{P}$ = 6.5 × 10$^{-9}$). In addition, using large -cohort datasets, we demonstrated that genetic factors were the major contributor to the negative covariance between BW and future cardiometabolic risk. Pathway analyses indicated that the protein products of genes within BW-associated regions were enriched for diverse processes including insulin signalling, glucose homeostasis, glycogen biosynthesis and chromatin remodelling. There was also enrichment of associations with BW in known imprinted regions ($\textit{P}$ = 1.9 × 10$^{-4}$). We demonstrate that life-course associations between early growth phenotypes and adult cardiometabolic disease are in part the result of shared genetic effects and identify some of the pathways through which these causal genetic effects are mediated.

34. Genetic studies of body mass index yield new insights for obesity biology

Author: Locke, Adam E, Kahali, Bratati, Croteau-Chonka, Damien C, Doney, Alex S F, He, Bing, Heikkilä, Outi, Hietala, Kustaa, Kytö, Janne, Lahermo, Päivi, Lehto, Markku, Österholm, Anne-May, Parkkonen, Maija, Pitkäniemi, Janne, Rosengård-Bärlund, Milla, Eklund, Niina, Saraheimo, Markku, Sarti, Cinzia, Söderlund, Jenny, Soro-Paavonen, Aino, Syreeni, Anna, Thorn, Lena M, Tikkanen, Heikki, Tolonen, Nina, Tryggvason, Karl, Tuomilehto, Jaakko, Estrada, Karol, Wadén, Johan, Gill, Geoffrey V, Prior, Sarah, Guiducci, Candace, Mirel, Daniel B, Taylor, Andrew, Hosseini, Mohsen, Parving, Hans-Henrik, Rossing, Peter, Tarnow, Lise, Eury, Elodie, Ladenvall, Claes, Alhenc-Gelas, François, Lefebvre, Pierre, Rigalleau, Vincent, Roussel, Ronan, Tregouet, David-Alexandre, Maestroni, Anna, Maestroni, Silvia, Falhammar, Henrik, Gu, Tianwei, Folkersen, Lasse, Möllsten, Anna, Cimponeriu, Dan, Mihai, Ioana, Mota, Maria, Mota, Eugen, Serafinceanu, Cristian, Stavarachi, Monica, Hanson, Robert L, Nelson, Robert G, Kretzler, Matthias, Fraser, Ross M, Colhoun, Helen M, Panduru, Nicolae Mircea, Gu, Harvest F, Brismar, Kerstin, Zerbini, Gianpaolo, Hadjadj, Samy, Marre, Michel, Groop, Leif, Lajer, Maria, Bull, Shelley B, Garcia, Melissa E, Waggott, Daryl, Paterson, Andrew D, Savage, David A, Bain, Stephen C, Martin, Finian, Hirschhorn, Joel N, Godson, Catherine, Florez, Jose C, Groop, Per-Henrik, Maxwell, Alexander P, Geller, Frank, Willer, Cristen J, Schmidt, Ellen M, Sengupta, Sebanti, Peloso, Gina M, Gustafsson, Stefan, Kanoni, Stavroula, Ganna, Andrea, Chen, Jin, Buchkovich, Martin L, Mora, Samia, Giedraitis, Vilmantas, Beckmann, Jacques S, Bragg-Gresham, Jennifer L, Chang, Hsing-Y, Demirkan, Ayşe, Den Hertog, Heleen M, Do, Ron, Donnelly, Louise A, Ehret, Georg B, Esko, Tõnu, Feitosa, Mary F, Gigante, Bruna, Ferreira, Teresa, Fischer, Krista, Fontanillas, Pierre, Freitag, Daniel F, Gurdasani, Deepti, Heikkilä, Kauko, Hyppönen, Elina, Isaacs, Aaron, Jackson, Anne U, Esko, Tonu, Go, Alan S, Johansson, Åsa, Johnson, Toby, Kaakinen, Marika, Kettunen, Johannes, Kleber, Marcus E, Li, Xiaohui, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Magnusson, Patrik K E, Mangino, Massimo, Golay, Alain, Mihailov, Evelin, Montasser, May E, Müller-Nurasyid, Martina, Nolte, Ilja M, O'Connell, Jeffrey R, Palmer, Cameron D, Perola, Markus, Petersen, Ann-Kristin, Sanna, Serena, Saxena, Richa, Goodall, Alison H, Service, Susan K, Shah, Sonia, Shungin, Dmitry, Sidore, Carlo, Song, Ci, Strawbridge, Rona J, Surakka, Ida, Tanaka, Toshiko, Teslovich, Tanya M, Thorleifsson, Gudmar, Gordon, Scott D, Van den Herik, Evita G, Voight, Benjamin F, Volcik, Kelly A, Waite, Lindsay L, Wong, Andrew, Wu, Ying, Zhang, Weihua, Absher, Devin, Asiki, Gershim, Barroso, Inês, Gorski, Mathias, Been, Latonya F, Bolton, Jennifer L, Bonnycastle, Lori L, Brambilla, Paolo, Burnett, Mary S, Cesana, Giancarlo, Dimitriou, Maria, Doring, Angela, Elliott, Paul, Grabe, Hans-Jörgen, Epstein, Stephen E, Eyjolfsson, Gudmundur Ingi, Goodarzi, Mark O, Grallert, Harald, Gravito, Martha L, Groves, Christopher J, Hallmans, Göran, Hartikainen, Anna-Liisa, Hayward, Caroline, Hernandez, Dena, Hicks, Andrew A, Holm, Hilma, Hung, Yi-Jen, Illig, Thomas, Jones, Michelle R, Kaleebu, Pontiano, Kastelein, John J P, Khaw, Kay-Tee, Kim, Eric, Grammer, Tanja B, Klopp, Norman, Komulainen, Pirjo, Kumari, Meena, Langenberg, Claudia, Lehtimaki, Terho, Lin, Shih-Yi, Lindstrom, Jaana, Loos, Ruth J F, Mach, François, McArdle, Wendy L, Gräßler, Jürgen, Meisinger, Christa, Mitchell, Braxton D, Muller, Gabrielle, Nagaraja, Ramaiah, Narisu, Narisu, Nieminen, Tuomo V M, Nsubuga, Rebecca N, Olafsson, Isleifur, Ong, Ken K, Palotie, Aarno, Grönberg, Henrik, Papamarkou, Theodore, Pomilla, Cristina, Pouta, Anneli, Rader, Daniel J, Reilly, Muredach P, Ridker, Paul M, Rivadeneira, Fernando, Rudan, Igor, Ruokonen, Aimo, Samani, Nilesh, Fall, Tove, Scharnagl, Hubert, Seeley, Janet, Silander, Kaisa, Stančáková, Alena, Stirrups, Kathleen, Swift, Amy J, Tiret, Laurence, Uitterlinden, Andre G, van Pelt, L Joost, Vedantam, Sailaja, Gusto, Gaëlle, Wainwright, Nicholas, Wijmenga, Cisca, Wild, Sarah H, Willemsen, Gonneke, Wilsgaard, Tom, Wilson, James F, Young, Elizabeth H, Zhao, Jing Hua, Adair, Linda S, Arveiler, Dominique, Haessler, Jeffrey, Assimes, Themistocles L, Bandinelli, Stefania, Bennett, Franklyn, Bochud, Murielle, Boehm, Bernhard O, Boomsma, Dorret I, Borecki, Ingrid B, Bornstein, Stefan R, Bovet, Pascal, Burnier, Michel, Hall, Per, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chen, Yii-Der Ida, Collins, Francis S, Cooper, Richard S, Danesh, John, Dedoussis, George, de Faire, Ulf, Feranil, Alan B, Haller, Toomas, Ferrieres, Jean, Ferrucci, Luigi, Freimer, Nelson B, Gieger, Christian, Groop, Leif C, Gudnason, Vilmundur, Gyllensten, Ulf, Hamsten, Anders, Harris, Tamara B, Hingorani, Aroon, Hallmans, Goran, Hofman, Albert, Hovingh, G Kees, Hsiung, Chao Agnes, Humphries, Steve E, Hunt, Steven C, Hveem, Kristian, Iribarren, Carlos, Jarvelin, Marjo-Riitta, Jula, Antti, Hartman, Catharina A, Kähönen, Mika, Kaprio, Jaakko, Kesäniemi, Antero, Kivimaki, Mika, Kooner, Jaspal S, Koudstaal, Peter J, Krauss, Ronald M, Kuh, Diana, Kuusisto, Johanna, Kyvik, Kirsten O, Hassinen, Maija, Laakso, Markku, Lakka, Timo A, Lind, Lars, Lindgren, Cecilia M, Martin, Nicholas G, März, Winfried, McCarthy, Mark I, McKenzie, Colin A, Meneton, Pierre, Metspalu, Andres, Moilanen, Leena, Morris, Andrew D, Munroe, Patricia B, Njølstad, Inger, Pedersen, Nancy L, Power, Chris, Pramstaller, Peter P, Price, Jackie F, Psaty, Bruce M, Quertermous, Thomas, Heard-Costa, Nancy L, Rauramaa, Rainer, Saleheen, Danish, Salomaa, Veikko, Sanghera, Dharambir K, Saramies, Jouko, Schwarz, Peter E H, Sheu, Wayne H-H, Shuldiner, Alan R, Siegbahn, Agneta, Spector, Tim D, Helmer, Quinta, Stefansson, Kari, Strachan, David P, Tayo, Bamidele O, Tremoli, Elena, Uusitupa, Matti, van Duijn, Cornelia M, Vollenweider, Peter, Wallentin, Lars, Wareham, Nicholas J, Hengstenberg, Christian, Whitfield, John B, Wolffenbuttel, Bruce H R, Ordovas, Jose M, Boerwinkle, Eric, Palmer, Colin N A, Thorsteinsdottir, Unnur, Chasman, Daniel I, Rotter, Jerome I, Franks, Paul W, Ripatti, Samuli, Holmen, Oddgeir, Cupples, L Adrienne, Sandhu, Manjinder S, Rich, Stephen S, Boehnke, Michael, Deloukas, Panos, Kathiresan, Sekar, Mohlke, Karen L, Ingelsson, Erik, Abecasis, Gonçalo R, Abecasis, Gonçalo, Hottenga, Jouke-Jan, Caulfield, Mark, Chasman, Dan, Ehret, Georg, Johnson, Andrew, Johnson, Louise, Larson, Martin, Levy, Daniel, James, Alan L, Munroe, Patricia, Newton-Cheh, Christopher, O'Reilly, Paul, Palmas, Walter, Psaty, Bruce, Rice, Kenneth, Smith, Albert, Snider, Harold, Tobin, Martin, Van Duijn, Cornelia, Jeff, Janina M, Verwoert, Germaine, Rice, Kenneth M, Johnson, Andrew D, Smith, Albert V, Tobin, Martin D, Verwoert, Germaine C, Hwang, Shih-Jen, Pihur, Vasyl, O'Reilly, Paul F, Amin, Najaf, Teumer, Alexander, Glazer, Nicole L, Launer, Lenore, Jolley, Jennifer, Aulchenko, Yurii, Heath, Simon, Sõber, Siim, Parsa, Afshin, Arora, Pankaj, Dehghan, Abbas, Zhang, Feng, Lucas, Gavin, Juliusdottir, Thorhildur, Peden, John F, Igl, Wilmar, Milaneschi, Yuri, Parker, Alex N, Fava, Cristiano, Kinnunen, Leena, Fox, Ervin R, Go, Min Jin, van der Harst, Pim, Kao, Wen Hong Linda, Sjögren, Marketa, Vinay, D. G., Alexander, Myriam, Tabara, Yasuharu, Shaw-Hawkins, Sue, Koenig, Wolfgang, Whincup, Peter H, Liu, Yongmei, Shi, Gang, Tayo, Bamidele, Seielstad, Mark, Sim, Xueling, Nguyen, Khanh-Dung Hoang, Lehtimäki, Terho, Matullo, Giuseppe, Koskenvuo, Markku, Gaunt, Tom R, Onland-Moret, N Charlotte, Cooper, Matthew N, Platou, Carl G P, Org, Elin, Hardy, Rebecca, Dahgam, Santosh, Palmen, Jutta, Vitart, Veronique, Kratzer, Wolfgang, Braund, Peter S, Kuznetsova, Tatiana, Uiterwaal, Cuno S P M, Adeyemo, Adebowale, Ludwig, Barbara, Tomaszewski, Maciej, Tzoulaki, Ioanna, Palmer, Nicholette D, Laitinen, Jaana, Aspelund, Thor, Garcia, Melissa, Chang, Yen-Pei C, Steinle, Nanette I, Grobbee, Diederick E, Arking, Dan E, Kardia, Sharon L, Morrison, Alanna C, Lamina, Claudia, Najjar, Samer, Hadley, David, Brown, Morris J, Connell, John M, Hingorani, Aroon D, Day, Ian N M, Lawlor, Debbie A, Beilby, John P, Lawrence, Robert W, Leander, Karin, Clarke, Robert, Collins, Rory, Hopewell, Jemma C, Ongen, Halit, Dreisbach, Albert W, Li, Yali, Young, J. 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Investigators, The MuTHER Consortium, The MIGen Consortium, The PAGE Consortium, The ReproGen Consortium, The GENIE Consortium, The International Endogene Consortium, Berndt, Sonja I, Justice, Anne E, Hyppönen, Elina Tuulikki, Epidemiology and Data Science, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
Subjects: Male, LOCI, Genome-wide association study, Continental Population Groups/genetics, VARIANTS, Body Mass Index, Insulin Secretion, Insulin, Age Factor, Adiposity, ddc:616, Adipogenesis, Genetic Predisposition to Disease/genetics, Synapse, 3. Good health, Continental Population Group, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], GENOME-WIDE ASSOCIATIONPROVIDES INSIGHTSGLYCEMIC TRAITSLOCIMETAANALYSISVARIANTSINDIVIDUALSHIPPOCAMPALARCHITECTURETOPIRAMATE, ddc:500, Adipogenesis/genetics, Single Nucleotide/genetics, Age Factors, Continental Population Groups, Energy Metabolism, Europe, Female, Genetic Predisposition to Disease, Glutamic Acid, Humans, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Synapses, Genome-Wide Association Study, Multidisciplinary, genetics [Adiposity], Human, Socio-culturale, genetics [Energy Metabolism], ta3111, genetic, body mass index, obesity, SDG 3 - Good Health and Well-being, GLYCEMIC TRAITS, genetics [Continental Population Groups], Genetic variability, Polymorphism, GENOME-WIDE ASSOCIATION, genetics [Adipogenesis], METAANALYSIS, Genetic association, Adipogenesi, genetics [Quantitative Trait Loci], ta1184, metabolism [Glutamic Acid], ta1182, PATHWAYS, metabolism [Synapses], ta3121, medicine.disease, metabolism [Insulin], Adiposity/genetics, Clinical Medicine, Quantitative Trait Loci/genetics, Body mass index, HUMAN HEIGHT, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Synapses/metabolism, Medizin, Obesity/genetics, Bioinformatics, genetic basis, Obesity/metabolism, genetics [Obesity], body mass index (BMI), genetics [Genetic Predisposition to Disease], ethnology [Europe], 2. Zero hunger, Genetics, ARCHITECTURE, Genetics of obesity, Medicine (all), Single Nucleotide, Polymorphism, Single Nucleotide/genetics, Insulin/metabolism/secretion, Glutamic Acid/metabolism, genetics [Polymorphism, Single Nucleotide], EXPRESSION, Insulin/metabolism, PROVIDES INSIGHTS, genetics [Racial Groups], Biology, Obesity/genetics/metabolism, Europe/ethnology, metabolism [Obesity], Mendelian randomization, medicine, Energy Metabolism/genetics, body mass, genetic analysis, obesity, Klinisk medicin
Abstract: Item does not contain fulltext Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 x 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for approximately 2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
Published: 2015
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35. New genetic loci link adipose and insulin biology to body fat distribution

Author: Shungin, Dmitry, Winkler, Thomas W, Workalemahu, Tsegaselassie, Hartman, Catharina A, Duncan, Emma L, Ntzani, Evangelia E, Oei, Ling, Albagha, Omar M E, Amin, Najaf, Kemp, John P, Koller, Daniel L, Li, Guo, Liu, Ching-Ti, Minster, Ryan L, Hassinen, Maija, Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su-Mei, Yerges-Armstrong, Laura M, Zheng, Hou-Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M, Kaptoge, Stephen K, Hayward, Caroline, Leo, Paul J, Thorleifsson, Gudmar, Wilson, Scott G, Wilson, James F, Aalto, Ville, Alen, Markku, Aragaki, Aaron K, Aspelund, Thor, Center, Jacqueline R, Dailiana, Zoe, Heikkilä, Kauko, Duggan, David J, Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J, Husted, Lise Bjerre, Jameson, Karen A, Khusainova, Rita, Kim, Ghi Su, Herzig, Karl-Heinz, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z, Lee, Seung Hun, Leung, Ping C, Lewis, Joshua R, Masi, Laura, Mencej-Bedrac, Simona, Helmer, Quinta, Nguyen, Tuan V, Nogues, Xavier, Patel, Millan S, Prezelj, Janez, Rose, Lynda M, Scollen, Serena, Siggeirsdottir, Kristin, Smith, Albert V, Svensson, Olle, Trompet, Stella, Hillege, Hans L, Trummer, Olivia, van Schoor, Natasja M, Woo, Jean, Zhu, Kun, Balcells, Susana, Brandi, Maria Luisa, Buckley, Brendan M, Cheng, Sulin, Christiansen, Claus, Cooper, Cyrus, Holmen, Oddgeir, Dedoussis, George, Ford, Ian, Frost, Morten, Goltzman, David, González-Macías, Jesús, Kähönen, Mika, Karlsson, Magnus, Khusnutdinova, Elza, Koh, Jung-Min, Kollia, Panagoula, Hunt, Steven C, Langdahl, Bente Lomholt, Leslie, William D, Lips, Paul, Ljunggren, Östen, Lorenc, Roman S, Marc, Janja, Mellström, Dan, Obermayer-Pietsch, Barbara, Olmos, José M, Pettersson-Kymmer, Ulrika, Isaacs, Aaron, Reid, David M, Riancho, José A, Ridker, Paul M, Rousseau, François, Slagboom, P Eline, Tang, Nelson L S, Urreizti, Roser, Van Hul, Wim, Viikari, Jorma, Zarrabeitia, María T, Wu, Joseph M W, Ittermann, Till, Aulchenko, Yurii S, Castano-Betancourt, Martha, Grundberg, Elin, Herrera, Lizbeth, Ingvarsson, Thorvaldur, Johannsdottir, Hrefna, Kwan, Tony, Li, Rui, Luben, Robert, Medina-Gómez, Carolina, James, Alan L, Palsson, Stefan Th, Reppe, Sjur, Rotter, Jerome I, Sigurdsson, Gunnar, van Meurs, Joyce B J, Verlaan, Dominique, Williams, Frances M K, Wood, Andrew R, Zhou, Yanhua, Gautvik, Kaare M, Johansson, Ingegerd, Pastinen, Tomi, Raychaudhuri, Soumya, Cauley, Jane A, Chasman, Daniel I, Clark, Graeme R, Cummings, Steven R, Danoy, Patrick, Dennison, Elaine M, Eastell, Richard, Eisman, John A, Juliusdottir, Thorhildur, Gudnason, Vilmundur, Hofman, Albert, Jackson, Rebecca D, Jones, Graeme, Jukema, J Wouter, Khaw, Kay-Tee, Lehtimäki, Terho, Liu, Yongmei, Lorentzon, Mattias, McCloskey, Eugene, Kalafati, Ioanna-Panagiota, Mitchell, Braxton D, Nandakumar, Kannabiran, Nicholson, Geoffrey C, Oostra, Ben A, Peacock, Munro, Pols, Huibert A P, Prince, Richard L, Raitakari, 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Surdulescu, G., Travers, ME., Tsaprouni, L., Tsoka, S., Wilk, A., Matise, T., Buyske, S., Higashio, J., Williams, R., Nato, A., Ambite, JL., Deelman, E., Manolio, T., Hindorff, L., Heiss, G., Taylor, K., Avery, C., Graff, M., Lin, D., Quibrera, M., Cochran, B., Kao, L., Umans, J., Cole, S., MacCluer, J., Person, S., Pankow, J., Gross, M., Fornage, M., Durda, P., Jenny, N., Patsy, B., Arnold, A., Buzkova, P., Crawford, D., Haines, J., Murdock, D., Glenn, K., Brown-Gentry, K., Thornton-Wells, T., Dumitrescu, L., Jeff, J., Bush, WS., Mitchell, SL., Goodloe, R., Wilson, S., Boston, J., Malinowski, J., Restrepo, N., Oetjens, M., Fowke, J., Zheng, W., Spencer, K., Ritchie, M., Pendergrass, S., Le Marchand£££Loïc£££ L., Wilkens, L., Park, L., Tiirikainen, M., Kolonel, L., Lim, U., Cheng, I., Wang, H., Shohet, R., Haiman, C., Stram, D., Henderson, B., Monroe, K., Schumacher, F., Peters, U., Anderson, G., Carlson, C., Prentice, R., LaCroix, A., Wu, C., Carty, C., Gong, J., Rosse, S., Young, A., Haessler, J., Kocarnik, J., Lin, Y., Jackson, R., Duggan, D., Kuller, L., Stolk, L., He, C., Sulem, P., Barbalic, M., Broer, L., Byrne, EM., Gudbjartsson, DF., McArdle, PF., Porcu, E., van Wingerden, S., Zhuang, W., Albrecht, E., Alizadeh, BZ., Lauc, LB., Broekmans, FJ., Burri, A., Chanock, SJ., Chen, C., Corre, T., Coviello, AD., d'Adamo, P., Davies, G., Deary, IJ., Ebrahim, S., Fauser, BC., Ferreli, L., Folsom, AR., Garcia, ME., Hall, P., Haller, T., Hankinson, SE., Hass, M., Heath, AC., Janssens, AC., Keyzer, J., Lahti, J., Lai, S., Laisk, T., Laven, JS., Liu, J., Lopez, LM., Louwers, YV., Marongiu, M., Klaric, IM., Masciullo, C., McKnight, B., Medland, SE., Melzer, D., Newman, AB., Paré, G., Peeters, PH., Plump, AS., Pop, VJ., Räikkönen, K., Salumets, A., Smith, JA., Stacey, SN., Starr, JM., Stathopoulou, MG., Tenesa, A., Thorand, B., Tryggvadottir, L., Tsui, K., van Dam RM., van Gils CH., van Nierop, P., Vink, JM., Voorhuis, M., Wallaschofski, H., Widen, E., Wijnands-van Gent CJ., Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], Departments of Epidemiology and Nutrition, Harvard School of Public Health, Institute of Experimental Medicine, Czech Academy of Sciences [Prague] (CAS), Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University Hospital, Department of Genetics, University of Groningen [Groningen], deCODE Genetics, deCODE genetics [Reykjavik], Pediatric Pulmonology, Allergology & Epidemiology, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG)-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Department of Nutrition-Dietetics, Harokopio University of Athens, Yale School of Medicine [New Haven, Connecticut] (YSM), National Heart and Lung Institute (NHLI), Imperial College London, Queensland Institute of Medical Research, Concord Hospital, Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Réseau International des Instituts Pasteur (RIIP)-Réseau 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= University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, 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(BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, S, Lohman, K, Pankow, J, Uh, H, Wu, Y, Bidulescu, A, Rasmussen Torvik, L, Greenwood, C, Ladouceur, M, Grimsby, J, Manning, A, Mooser, V, Kapur, K, Frants, R, Willemsvan vanDijk, K, Willems, S, Psaty, B, Tracy, R, Brody, J, Chen, I, Viikari, J, Kähönen, M, Evans, D, St Pourcain, B, Sattar, N, Carlson, O, Egan, J, van Heemst, D, Kedenko, L, Nuotio, M, Loo, B, Kanaya, A, Haun, M, Klopp, N, Katsareli, E, Couper, D, Duncan, B, Kloppenburg, M, Borja, J, Musani, S, Guo, X, Semple, R, Teslovich, T, Allison, M, Redline, S, Buxbaum, S, Meulenbelt, I, Ballantyne, C, Hu, F, Paulweber, B, Florez, J, Smith, G, Siscovick, D, Kronenberg, F, van Duijn, C, Waterworth, D, Meigs, J, Dupuis, J, Richards, J, Willenborg, C, Thompson, J, Erdmann, J, Goldstein, B, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikäinen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, A, Braund, P, Burgdorf, C, Cox, D, Dimitriou, M, Do, R, El Mokhtari, N, Fontanillas, P, Hager, J, Han, B, Kang, H, Kessler, T, Knowles, J, Kolovou, G, Langford, C, Lokki, M, Lundmark, A, Meisinger, C, Melander, O, Maouche, S, Nikus, K, Peden, J, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Basart, H, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Gauguier, D, Goodall, A, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kim, H, Laaksonen, R, Ouwehand, W, Parish, S, Park, J, Rader, D, Shah, S, Stark, K, Trégouët, D, Virtamo, J, Wallentin, L, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Hovingh, G, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, O'Donnell, C, Reilly, M, Collins, R, Kathiresan, S, Roberts, R, Schunkert, H, Pattaro, C, Köttgen, A, Garnaas, M, Böger, C, Chen, M, Tin, A, Taliun, D, Li, M, Gao, X, Gorski, M, Yang, Q, Hundertmark, C, Foster, M, O'Seaghdha, C, Glazer, N, Struchalin, M, Li, G, Johnson, A, Gierman, H, Hwang, S, Atkinson, E, Cornelis, M, Chouraki, V, Holliday, E, Sorice, R, Deshmukh, H, Ulivi, S, Chu, A, Murgia, F, Trompet, S, Imboden, M, Kollerits, B, Pistis, G, Launer, L, Aspelund, T, Eiriksdottir, G, Mitchell, B, Schmidt, H, Cavalieri, M, Rao, M, de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, Mychaleckyj, J, Hallan, S, Navis, G, Shlipak, M, Bull, S, Paterson, A, Rotter, J, Beckmann, J, Dreisbach, A, Styrkarsdottir, U, Evangelou, E, Hsu, Y, Duncan, E, Ntzani, E, Oei, L, Albagha, O, Kemp, J, Koller, D, Minster, R, Vandenput, L, Willner, D, Xiao, S, Yerges Armstrong, L, Zheng, H, Alonso, N, Kammerer, C, Kaptoge, S, Leo, P, Wilson, S, Aalto, V, Alen, M, Aragaki, A, Center, J, Dailiana, Z, Duggan, D, Garcia Giralt, N, Giroux, S, Hocking, L, Husted, L, Jameson, K, Khusainova, R, Kim, G, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, A, Lee, S, Leung, P, Lewis, J, Masi, L, Mencej Bedrac, S, Nguyen, T, Nogues, X, Patel, M, Prezelj, J, Scollen, S, Siggeirsdottir, K, Svensson, O, Trummer, O, van Schoor, N, Woo, J, Zhu, K, Balcells, S, Brandi, M, Cheng, S, Christiansen, C, Cooper, C, Frost, M, Goltzman, D, González Macías, J, Karlsson, M, Khusnutdinova, E, Koh, J, Kollia, P, Langdahl, B, Leslie, W, Lips, P, Ljunggren, Ö, Lorenc, R, Marc, J, Mellström, D, Obermayer Pietsch, B, Olmos, J, Pettersson Kymmer, U, Reid, D, Riancho, J, Rousseau, F, Tang, N, Urreizti, R, Van Hul, W, Zarrabeitia, M, Castano Betancourt, M, Herrera, L, Ingvarsson, T, Johannsdottir, H, Kwan, T, Li, R, Luben, R, Medina Gómez, C, Palsson, S, Reppe, S, Sigurdsson, G, van Meurs, J, Verlaan, D, Williams, F, Zhou, Y, Gautvik, K, Raychaudhuri, S, Cauley, J, Clark, G, Cummings, S, Danoy, P, Dennison, E, Eastell, R, Eisman, J, Jackson, R, Jones, G, Khaw, K, Mccloskey, E, Nandakumar, K, Peacock, M, Pols, H, Prince, R, Reid, I, Robbins, J, Sambrook, P, Sham, P, Tylavsky, F, Econs, M, Kung, A, Reeve, J, Streeten, E, Karasik, D, Ralston, S, Ioannidis, J, Kiel, D, Forsblom, C, Isakova, T, Mckay, G, Williams, W, Sadlier, D, Mäkinen, V, Swan, E, Boright, A, Ahlqvist, E, Keller, B, Huang, H, Ahola, A, Fagerholm, E, Gordin, D, Harjutsalo, V, He, B, Heikkilä, O, Hietala, K, Kytö, J, Lahermo, P, Lehto, M, Österholm, A, Parkkonen, M, Pitkäniemi, J, Rosengård Bärlund, M, Saraheimo, M, Sarti, C, Söderlund, J, Soro Paavonen, A, Syreeni, A, Thorn, L, Tikkanen, H, Tolonen, N, Tryggvason, K, Wadén, J, Gill, G, Prior, S, Guiducci, C, Mirel, D, Taylor, A, Hosseini, M, Parving, H, Rossing, P, Tarnow, L, Ladenvall, C, Alhenc Gelas, F, Lefebvre, P, Rigalleau, V, Roussel, R, Tregouet, D, Maestroni, A, Maestroni, S, Falhammar, H, Gu, T, Möllsten, A, Cimponeriu, D, Mihai, I, Mota, M, Mota, E, Serafinceanu, C, Stavarachi, M, Hanson, R, Nelson, R, Kretzler, M, Panduru, N, Gu, H, Brismar, K, Zerbini, G, Hadjadj, S, Marre, M, Lajer, M, Waggott, D, Savage, D, Bain, S, Martin, F, Godson, C, Groop, P, Maxwell, A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Fraser, R, Freitag, D, Gurdasani, D, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Van den Herik, E, Volcik, K, Asiki, G, Been, L, Bolton, J, Bonnycastle, L, Burnett, M, Cesana, G, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Kastelein, J, Kim, E, Komulainen, P, Lin, S, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Stančáková, A, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Willemsen, G, Young, E, Bennett, F, Boomsma, D, Bovet, P, Chen, Y, Feranil, A, Freimer, N, Hsiung, C, Järvelin, M, Kesäniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Martin, N, Meneton, P, Moilanen, L, Njølstad, I, Price, J, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sõber, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjögren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Grässler, J, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Stanèáková, A, Raffel, L, Yao, J, Schwartz, S, Ikram, M, Longstreth W., J, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Morken, M, Laitinen, J, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
Subjects: Adipose Tissue/metabolism, Male, genetic association, subcutaneous fat, Transcription, Genetic, Adipocytes, Adipogenesis, Adipose Tissue, Age Factors, Body Mass Index, Continental Population Groups, Epigenesis, Genetic, Europe, Female, Genome, Human, Humans, Insulin, Insulin Resistance, Models, Biological, Neovascularization, Physiologic, Obesity, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Sex Characteristics, Waist-Hip Ratio, Body Fat Distribution, Genome-Wide Association Study, Multidisciplinary, Insulin Resistance/genetics, Genome-wide association study, Continental Population Groups/genetics, genetic analysis, heritability, gene cluster, Science::Biological sciences::Human anatomy and physiology [DRNTU], 0302 clinical medicine, high density lipoprotein cholesterol, Models, genetics [Insulin Resistance], histone modification, Age Factor, insulin receptor, 0303 health sciences, Adipocyte, Human/genetics, CARDIOGRAMplusC4D Consortium, ADIPOGENIC DIFFERENTIATION, genetic correlation, body fat, Continental Population Group, priority journal, 5 trisphosphate 3 phosphatase, GEFOS Consortium, meta analysis (topic), Science & Technology - Other Topics, ddc:500, transcription regulation, Adipogenesis/genetics, Single Nucleotide/genetics, Human, medicine.medical_specialty, Waist, phosphatidylinositol 3, European, ta3111, genetic regulation, Article, developmental biology, 03 medical and health sciences, MAGIC Investigators, transcription initiation site, SDG 3 - Good Health and Well-being, Genetic, genomics, GLYCEMIC TRAITS, genetics [Continental Population Groups], Polymorphism, GENOME-WIDE ASSOCIATION, Physiologic, genetics [Adipogenesis], Adipocytes/metabolism, Europe/ethnology, Genome, Human/genetics, Insulin/metabolism, Neovascularization, Physiologic/genetics, Obesity/genetics, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci/genetics, Transcription, Genetic/genetics, Genetic/genetics, Adipogenesi, Science & Technology, adiponectin, [ SDV ] Life Sciences [q-bio], vasculotropin, genetics [Quantitative Trait Loci], ta1184, Racial Groups, ta1182, gene mapping, ta3121, triacylglycerol blood level, medicine.disease, Biological, major clinical study, amino acid sequence, metabolism [Insulin], Endocrinology, metabolism [Adipocytes], genetic loci, insulin, body fat, GLGC, International Endogene Consortium, metabolism [Adipose Tissue], Body mass index, HUMAN HEIGHT, Epigenesis, LifeLines Cohort Study, ReproGen Consortium, BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, tissue level, Physiologic/genetics, [SDV]Life Sciences [q-bio], Medizin, Adipose tissue, low density lipoprotein cholesterol, PAGE Consortium, COMMON SNPS, angiogenesis, Waist–hip ratio, genetics [Obesity], MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, single nucleotide polymorphism, fat, genetic variability, molecular biology, body mass index (BMI), ethnology [Europe], peroxisome proliferator activated receptor, 2. Zero hunger, Genetics, Genome, Single Nucleotide, waist circumference, insulin, phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase, triacylglycerol, vasculotropin, developmental biology, gene expression, genome, numerical model, adipocyte, adipose tissue, body fat distribution, body mass, female, gene locus, gene structure, hip circumference, human, insulin resistance, lipoprotein blood level, male, obesity, protein protein interaction, sex difference, waist hip ratio, Multidisciplinary Sciences, genetics [Transcription, Genetic], genetics [Polymorphism, Single Nucleotide], ADIPOGen Consortium, genetics [Neovascularization, Physiologic], Transcription, SUSCEPTIBILITY LOCI, General Science & Technology, ICBP, 030209 endocrinology & metabolism, Biology, adipocyte, MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio, MESENCHYMAL STEM-CELLS, GENIE Consortium, SEXUAL-DIMORPHISM, Insulin resistance, Internal medicine, medicine, genetics [Genome, Human], ABDOMINAL ADIPOSITY, Neovascularization, 030304 developmental biology, FALSE DISCOVERY, CKDGen Consortium, Sex Characteristic, MuTHER Consortium, numerical model
Abstract: Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P
Published: 2015
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36. No Evidence of Interaction Between FADS2 Genotype and Breastfeeding on Cognitive or Other Traits in the UK Biobank.

Author: Centorame G, Warrington NM, Hemani G, Wang G, Davey Smith G, and Evans DM
Abstract: Breastfeeding is hypothesised to benefit child health and cognitive functioning by providing long-chain polyunsaturated fatty acids, which are essential for brain development. In 2007, Caspi et al. found evidence in two cohorts for an interaction between genetic variation in the FADS2 gene (a gene involved in fatty acid metabolism) and breastfeeding on IQ. However, subsequent studies have provided mixed evidence for the existence of an interaction. We investigated the relationship between genetic variation in the FADS2 region, breastfeeding, and their interaction in up to 335,650 individuals from the UK Biobank. We tested for the interaction over a range of cognitive functioning tests, as well as educational attainment and other traits thought to be influenced by breastfeeding, including cardiometabolic traits, number of offspring, and atopic allergy. FADS2 alleles associated with an increase in docosahexaenoic acid in blood serum (the C allele of rs174575) were associated with decreased verbal-numerical reasoning ( p = 2.28 × 10 - 5 ) and triglycerides ( p = 1.40 × 10 - 41 ), increased number of offspring ( p = 3.40 × 10 - 5 ), total cholesterol ( p = 5.28 × 10 - 36 ), HDL ( p = 1.42 × 10 - 51 ), and LDL cholesterol ( p = 1.46 × 10 - 21 ). We observed no evidence of an interaction in any of the traits, regardless of the modelling strategy on any cognitive or non-cognitive traits. We postulate that the previous positive findings are likely to be spurious, perhaps due to lack of appropriate control for latent population structure., Competing Interests: Declarations. Conflict of interest: The authors have not disclosed any competing interests., (© 2024. The Author(s).)
Published: 2024
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37. A framework for conducting GWAS using repeated measures data with an application to childhood BMI.

Author: Burrows K, Heiskala A, Bradfield JP, Balkhiyarova Z, Ning L, Boissel M, Chan YM, Froguel P, Bonnefond A, Hakonarson H, Alves AC, Lawlor DA, Kaakinen M, Järvelin MR, Grant SFA, Tilling K, Prokopenko I, Sebert S, Canouil M, and Warrington NM
Subjects: Humans, Child, Adolescent, Male, Female, Child, Preschool, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Adiposity genetics, Infant, Cohort Studies, Genome-Wide Association Study, Body Mass Index, Phenotype
Abstract: Genetic effects on changes in human traits over time are understudied and may have important pathophysiological impact. We propose a framework that enables data quality control, implements mixed models to evaluate trajectories of change in traits, and estimates phenotypes to identify age-varying genetic effects in GWAS. Using childhood BMI as an example trait, we included 71,336 participants from six cohorts and estimated the slope and area under the BMI curve within four time periods (infancy, early childhood, late childhood and adolescence) for each participant, in addition to the age and BMI at the adiposity peak and the adiposity rebound. GWAS of the 12 estimated phenotypes identified 28 genome-wide significant variants at 13 loci, one of which (in DAOA) has not been previously associated with childhood or adult BMI. Genetic studies of changes in human traits over time could uncover unique biological mechanisms influencing quantitative traits., Competing Interests: Competing interests: DAL received support from Medtronic Ltd and Roche Diagnostics for research unrelated to that presented here. KT acted as Expert Witness to the High Court in England, called by the UK MHRA, defendants in a case on hormonal pregnancy tests and congenital anomalies 2021/22. All other authors report no competing interests., (© 2024. The Author(s).)
Published: 2024
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38. DINGO: increasing the power of locus discovery in maternal and fetal genome-wide association studies of perinatal traits.

Author: Hwang LD, Cuellar-Partida G, Yengo L, Zeng J, Toivonen J, Arvas M, Beaumont RN, Freathy RM, Moen GH, Warrington NM, and Evans DM
Subjects: Humans, Female, Pregnancy, Polymorphism, Single Nucleotide, Phenotype, Genome-Wide Association Study methods, Birth Weight genetics, Fetus, Quantitative Trait Loci
Abstract: Perinatal traits are influenced by fetal and maternal genomes. We investigate the performance of three strategies to detect loci in maternal and fetal genome-wide association studies (GWASs) of the same quantitative trait: (i) the traditional strategy of analysing maternal and fetal GWASs separately; (ii) a two-degree-of-freedom test which combines information from maternal and fetal GWASs; and (iii) a one-degree-of-freedom test where signals from maternal and fetal GWASs are meta-analysed together conditional on estimated sample overlap. We demonstrate that the optimal strategy depends on the extent of sample overlap, correlation between phenotypes, whether loci exhibit fetal and/or maternal effects, and whether these effects are directionally concordant. We apply our methods to summary statistics from a recent GWAS meta-analysis of birth weight. Both the two-degree-of-freedom and meta-analytic approaches increase the number of genetic loci for birth weight relative to separately analysing the scans. Our best strategy identifies an additional 62 loci compared to the most recently published meta-analysis of birth weight. We conclude that whilst the two-degree-of-freedom test may be useful for the analysis of certain perinatal phenotypes, for most phenotypes, a simple meta-analytic strategy is likely to perform best, particularly in situations where maternal and fetal GWASs only partially overlap., (© 2024. The Author(s).)
Published: 2024
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39. Is lower birthweight truly causal for increased cardiovascular risk?

Author: Warrington NM, Wang G, and Bond TA
Published: 2024
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40. A genome-wide association study provides insights into the genetic etiology of 57 essential and non-essential trace elements in humans.

Author: Moksnes MR, Hansen AF, Wolford BN, Thomas LF, Rasheed H, Simić A, Bhatta L, Brantsæter AL, Surakka I, Zhou W, Magnus P, Njølstad PR, Andreassen OA, Syversen T, Zheng J, Fritsche LG, Evans DM, Warrington NM, Nøst TH, Åsvold BO, Flaten TP, Willer CJ, Hveem K, and Brumpton BM
Subjects: Male, Humans, Genome-Wide Association Study, Zinc, Manganese, Trace Elements metabolism, Selenium analysis
Abstract: Trace elements are important for human health but may exert toxic or adverse effects. Mechanisms of uptake, distribution, metabolism, and excretion are partly under genetic control but have not yet been extensively mapped. Here we report a comprehensive multi-element genome-wide association study of 57 essential and non-essential trace elements. We perform genome-wide association meta-analyses of 14 trace elements in up to 6564 Scandinavian whole blood samples, and genome-wide association studies of 43 trace elements in up to 2819 samples measured only in the Trøndelag Health Study (HUNT). We identify 11 novel genetic loci associated with blood concentrations of arsenic, cadmium, manganese, selenium, and zinc in genome-wide association meta-analyses. In HUNT, several genome-wide significant loci are also indicated for other trace elements. Using two-sample Mendelian randomization, we find several indications of weak to moderate effects on health outcomes, the most precise being a weak harmful effect of increased zinc on prostate cancer. However, independent validation is needed. Our current understanding of trace element-associated genetic variants may help establish consequences of trace elements on human health., (© 2024. The Author(s).)
Published: 2024
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41. A framework for conducting time-varying genome-wide association studies: An application to body mass index across childhood in six multiethnic cohorts.

Author: Burrows K, Heiskala A, Bradfield JP, Balkhiyarova Z, Ning L, Boissel M, Chan YM, Froguel P, Bonnefond A, Hakonarson H, Alves AC, Lawlor DA, Kaakinen M, Järvelin MR, Grant SFA, Tilling K, Prokopenko I, Sebert S, Canouil M, and Warrington NM
Abstract: Genetic effects on changes in human traits over time are understudied and may have important pathophysiological impact. We propose a framework that enables data quality control, implements mixed models to evaluate trajectories of change in traits, and estimates phenotypes to identify age-varying genetic effects in genome-wide association studies (GWASs). Using childhood body mass index (BMI) as an example, we included 71,336 participants from six cohorts and estimated the slope and area under the BMI curve within four time periods (infancy, early childhood, late childhood and adolescence) for each participant, in addition to the age and BMI at the adiposity peak and the adiposity rebound. GWAS on each of the estimated phenotypes identified 28 genome-wide significant variants at 13 loci across the 12 estimated phenotypes, one of which was novel (in DAOA) and had not been previously associated with childhood or adult BMI. Genetic studies of changes in human traits over time could uncover novel biological mechanisms influencing quantitative traits., Competing Interests: Conflict of interest: DAL received support from Medtronic Ltd and Roche Diagnostics for research unrelated to that presented here. All other authors report no conflict of interest.
Published: 2024
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42. Meta-regression of genome-wide association studies to estimate age-varying genetic effects.

Author: Pagoni P, Higgins JPT, Lawlor DA, Stergiakouli E, Warrington NM, Morris TT, and Tilling K
Subjects: Humans, Body Mass Index, Phenotype, Alleles, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Genome-Wide Association Study methods, Polymorphism, Single Nucleotide
Abstract: Fixed-effect meta-analysis has been used to summarize genetic effects on a phenotype across multiple Genome-Wide Association Studies (GWAS) assuming a common underlying genetic effect. Genetic effects may vary with age (or other characteristics), and not allowing for this in a GWAS might lead to bias. Meta-regression models between study heterogeneity and allows effect modification of the genetic effects to be explored. The aim of this study was to explore the use of meta-analysis and meta-regression for estimating age-varying genetic effects on phenotypes. With simulations we compared the performance of meta-regression to fixed-effect and random -effects meta-analyses in estimating (i) main genetic effects and (ii) age-varying genetic effects (SNP by age interactions) from multiple GWAS studies under a range of scenarios. We applied meta-regression on publicly available summary data to estimate the main and age-varying genetic effects of the FTO SNP rs9939609 on Body Mass Index (BMI). Fixed-effect and random-effects meta-analyses accurately estimated genetic effects when these did not change with age. Meta-regression accurately estimated both main genetic effects and age-varying genetic effects. When the number of studies or the age-diversity between studies was low, meta-regression had limited power. In the applied example, each additional minor allele (A) of rs9939609 was inversely associated with BMI at ages 0 to 3, and positively associated at ages 5.5 to 13. Our findings challenge the assumption that genetic effects are consistent across all ages and provide a method for exploring this. GWAS consortia should be encouraged to use meta-regression to explore age-varying genetic effects., (© 2024. The Author(s).)
Published: 2024
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43. Partitioning genetic effects on birthweight at classical human leukocyte antigen loci into maternal and fetal components, using structural equation modelling.

Author: Wang G, Warrington NM, and Evans DM
Subjects: Child, Humans, Birth Weight genetics, Latent Class Analysis, Polymorphism, Single Nucleotide, Alleles, HLA Antigens genetics, Family
Abstract: Background: Single nucleotide polymorphisms in the human leukocyte antigen (HLA) region in both maternal and fetal genomes have been robustly associated with birthweight (BW) in previous genetic association studies. However, no study to date has partitioned the association between BW and classical HLA alleles into maternal and fetal components., Methods: We used structural equation modelling (SEM) to estimate the maternal and fetal effects of classical HLA alleles on BW. Our SEM leverages the data structure of the UK Biobank (UKB), which includes ∼270 000 participants' own BW and/or the BW of their firstborn child., Results: We show via simulation that our model yields asymptotically unbiased estimates of the maternal and fetal allelic effects on BW and appropriate type I error rates, in contrast to simple regression models. Asymptotic power calculations show that we have sufficient power to detect moderate-sized maternal or fetal allelic effects of common HLA alleles on BW in the UKB. Applying our SEM to imputed classical HLA alleles and own and offspring BW from the UKB replicated the previously reported association at the HLA-C locus and revealed strong evidence for maternal (HLA-A*03:01, B*35:01, B*39:06, P <0.001) and fetal allelic effects (HLA-B*39:06, P <0.001) of non-HLA-C alleles on BW., Conclusions: Our model yields asymptotically unbiased estimates, appropriate type I error rates and appreciable power to estimate maternal and fetal effects on BW. These novel allelic associations between BW and classical HLA alleles provide insight into the immunogenetics of fetal growth in utero., (© The Author(s) 2023. Published by Oxford University Press on behalf of the International Epidemiological Association.)
Published: 2024
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44. Direct and INdirect effects analysis of Genetic lOci (DINGO): A software package to increase the power of locus discovery in GWAS meta-analyses of perinatal phenotypes and traits influenced by indirect genetic effects.

Author: Hwang LD, Cuellar-Partida G, Yengo L, Zeng J, Beaumont RN, Freathy RM, Moen GH, Warrington NM, and Evans DM
Abstract: Perinatal traits are influenced by genetic variants from both fetal and maternal genomes. Genome-wide association studies (GWAS) of these phenotypes have typically involved separate fetal and maternal scans, however, this approach may be inefficient as it does not utilize the information shared across the individual GWAS. In this manuscript we investigate the performance of three strategies to detect loci in maternal and fetal GWAS of the same trait: (i) the traditional strategy of analysing maternal and fetal GWAS separately; (ii) a novel two degree of freedom test which combines information from maternal and fetal GWAS; and (iii) a novel one degree of freedom test where signals from maternal and fetal GWAS are meta-analysed together conditional on the estimated sample overlap. We demonstrate through a combination of analytical formulae and data simulation that the optimal strategy depends on the extent of sample overlap/relatedness between the maternal and fetal GWAS, the correlation between own and offspring phenotypes, whether loci jointly exhibit fetal and maternal effects, and if so, whether these effects are directionally concordant. We apply our methods to summary results statistics from a recent GWAS meta-analysis of birth weight from deCODE, the UK Biobank and the Early Growth Genetics (EGG) consortium. Both the two degree of freedom (213 loci) and meta-analytic approach (226 loci) dramatically increase the number of robustly associated genetic loci for birth weight relative to separately analysing the scans (183 loci). Our best strategy identifies an additional 62 novel loci compared to the most recent published meta-analysis of birth weight and implicates both known and new biological pathways in the aetiology of the trait. We implement our methods in the online DINGO ( D irect and IN direct effects analysis of G enetic l O ci) software package, which allows users to perform one and/or two degree of freedom tests easily and computationally efficiently across the genome. We conclude that whilst the novel two degree of freedom test may be particularly useful for the analysis of certain perinatal phenotypes where many loci exhibit discordant maternal and fetal genetic effects, for most phenotypes, a simple meta-analytic strategy is likely to perform best, particularly in situations where maternal and fetal GWAS only partially overlap.
Published: 2023
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45. Birth weight and cardiometabolic risk factors: a discordant twin study in the UK Biobank.

Author: Wang G, Bond TA, Warrington NM, and Evans DM
Subjects: Humans, Birth Weight, Twins, Monozygotic genetics, United Kingdom epidemiology, Biological Specimen Banks, Cardiovascular Diseases epidemiology, Cardiovascular Diseases etiology
Abstract: One of the longstanding debates in life-course epidemiology is whether an adverse intrauterine environment, often proxied by birth weight, causally increases the future risk of cardiometabolic disease. The use of a discordant twin study design, which controls for the influence of shared genetic and environmental confounding factors, may be useful to investigate whether this relationship is causal. We conducted a discordant twin study of 120 monozygotic (MZ) and 148 dizygotic (DZ) twin pairs from the UK Biobank to explore the potential causal relationships between birth weight and a broad spectrum of later-life cardiometabolic risk factors. We used a linear mixed model to investigate the association between birth weight and later-life cardiometabolic risk factors for twins, allowing for both within-pair differences and between-pair differences in birth weight. Of primary interest is the within-pair association between differences in birth weight and cardiometabolic risk factors, which could reflect an intrauterine effect on later-life risk factors. We found no strong evidence of association in MZ twins between the within-pair differences in birth weight and most cardiometabolic risk factors in later life, except for nominal associations with C-reactive protein and insulin-like growth factor 1. However, these associations were not replicated in DZ twin pairs. Our study provided no strong evidence for intrauterine effects on later-life cardiometabolic risk factors, which is consistent with previous large-scale studies of singletons testing the potential causal relationship. It does not support the hypothesis that adverse intrauterine environments increase the risk of cardiometabolic disease in later life.
Published: 2023
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46. Mendelian randomization study of maternal coffee consumption and its influence on birthweight, stillbirth, miscarriage, gestational age and pre-term birth.

Author: Brito Nunes C, Huang P, Wang G, Lundberg M, D'Urso S, Wootton RE, Borges MC, Lawlor DA, Warrington NM, Evans DM, Hwang LD, and Moen GH
Subjects: Pregnancy, Child, Humans, Female, Birth Weight, Coffee adverse effects, Gestational Age, Longitudinal Studies, Mendelian Randomization Analysis, Genome-Wide Association Study, Term Birth, Stillbirth epidemiology, Stillbirth genetics, Abortion, Spontaneous epidemiology
Abstract: Background: Coffee consumption has been associated with several adverse pregnancy outcomes, although data from randomized-controlled trials are lacking. We investigate whether there is a causal relationship between coffee consumption and miscarriage, stillbirth, birthweight, gestational age and pre-term birth using Mendelian randomization (MR)., Methods: A two-sample MR study was performed using summary results data from a genome-wide association meta-analysis of coffee consumption (N = 91 462) from the Coffee and Caffeine Genetics Consortium. Outcomes included self-reported miscarriage (N = 49 996 cases and 174 109 controls from a large meta-analysis); the number of stillbirths [N = 60 453 from UK Biobank (UKBB)]; gestational age and pre-term birth (N = 43 568 from the 23andMe, Inc cohort) and birthweight (N = 297 356 reporting own birthweight and N = 210 248 reporting offspring's birthweight from UKBB and the Early Growth Genetics Consortium). Additionally, a one-sample genetic risk score (GRS) analysis of coffee consumption in UKBB women (N up to 194 196) and the Avon Longitudinal Study of Parents and Children (N up to 6845 mothers and 4510 children) and its relationship with offspring outcomes was performed., Results: Both the two-sample MR and one-sample GRS analyses showed no change in risk of sporadic miscarriages, stillbirths, pre-term birth or effect on gestational age connected to coffee consumption. Although both analyses showed an association between increased coffee consumption and higher birthweight, the magnitude of the effect was inconsistent., Conclusion: Our results suggest that coffee consumption during pregnancy might not itself contribute to adverse outcomes such as stillbirth, sporadic miscarriages and pre-term birth or lower gestational age or birthweight of the offspring., (© The Author(s) 2022. Published by Oxford University Press on behalf of the International Epidemiological Association.)
Published: 2023
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47. Investigating a possible causal relationship between maternal serum urate concentrations and offspring birthweight: a Mendelian randomization study.

Author: Decina CS, Hopkins R, Bowden J, Shields BM, Lawlor DA, Warrington NM, Evans DM, Freathy RM, and Beaumont RN
Subjects: Male, Adult, Pregnancy, Humans, Female, Birth Weight genetics, Causality, Prenatal Care, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Uric Acid, Mendelian Randomization Analysis
Abstract: Background: Higher urate levels are associated with higher systolic blood pressure (SBP) in adults, and in pregnancy with lower offspring birthweight. Mendelian randomization (MR) analyses suggest a causal effect of higher urate on higher SBP and of higher maternal SBP on lower offspring birthweight. If urate causally reduces birthweight, it might confound the effect of SBP on birthweight. We therefore tested for a causal effect of maternal urate on offspring birthweight., Methods: We tested the association between maternal urate levels and offspring birthweight using multivariable linear regression in the Exeter Family Study of Childhood Health (EFSOCH; n = 872) and UK Biobank (UKB; n = 133 187). We conducted two-sample MR to test for a causal effect of maternal urate [114 single-nucleotide polymorphisms (SNPs); n = 288 649 European ancestry] on offspring birthweight (n = 406 063 European ancestry; maternal SNP effect estimates adjusted for fetal effects). We assessed a causal relationship between urate and SBP using one-sample MR in UKB women (n = 199 768)., Results: Higher maternal urate was associated with lower offspring birthweight with similar confounder-adjusted magnitudes in EFSOCH [22 g lower birthweight per 1-SD higher urate (95% CI: -50, 6); P = 0.13] and UKB [-28 g (95% CI: -31, -25); P = 1.8 × 10-75]. The MR causal effect estimate was directionally consistent, but smaller [-11 g (95% CI: -25, 3); PIVW = 0.11]. In women, higher urate was causally associated with higher SBP [1.7 mmHg higher SBP per 1-SD higher urate (95% CI: 1.4, 2.1); P = 7.8 × 10-22], consistent with that previously published in women and men., Conclusion: The marked attenuation of the MR result of maternal urate on offspring birthweight compared with the multivariable regression result suggests previous observational associations may be confounded. The 95% CIs of the MR result included the null but suggest a possible small effect on birthweight. Maternal urate levels are unlikely to be an important contributor to offspring birthweight., (© The Author(s) 2022. Published by Oxford University Press on behalf of the International Epidemiological Association.)
Published: 2023
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48. Using Genomic Structural Equation Modeling to Partition the Genetic Covariance Between Birthweight and Cardiometabolic Risk Factors into Maternal and Offspring Components in the Norwegian HUNT Study.

Author: Moen GH, Nivard M, Bhatta L, Warrington NM, Willer C, Åsvold BO, Brumpton B, and Evans DM
Subjects: Humans, Birth Weight genetics, Latent Class Analysis, Genomics, Risk Factors, Cardiometabolic Risk Factors, Cardiovascular Diseases genetics
Abstract: The Barker Hypothesis posits that adverse intrauterine environments result in fetal growth restriction and increased risk of cardiometabolic disease through developmental compensations. Here we introduce a new statistical model using the genomic SEM software that is capable of simultaneously partitioning the genetic covariation between birthweight and cardiometabolic traits into maternally mediated and offspring mediated contributions. We model the covariance between birthweight and later life outcomes, such as blood pressure, non-fasting glucose, blood lipids and body mass index in the Norwegian HUNT study, consisting of 15,261 mother-eldest offspring pairs with genetic and phenotypic data. Application of this model showed some evidence for maternally mediated effects of systolic blood pressure on offspring birthweight, and pleiotropy between birthweight and non-fasting glucose mediated through the offspring genome. This underscores the importance of genetic links between birthweight and cardiometabolic phenotypes and offer alternative explanations to environmentally based hypotheses for the phenotypic correlation between these variables., (© 2022. The Author(s).)
Published: 2023
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49. Causal effects of maternal circulating amino acids on offspring birthweight: a Mendelian randomisation study.

Author: Zhao J, Stewart ID, Baird D, Mason D, Wright J, Zheng J, Gaunt TR, Evans DM, Freathy RM, Langenberg C, Warrington NM, Lawlor DA, and Borges MC
Subjects: Humans, Pregnancy, Female, Birth Weight genetics, Genotype, Fetal Development, Mendelian Randomization Analysis methods, Polymorphism, Single Nucleotide, Amino Acids, Genome-Wide Association Study
Abstract: Background: Amino acids are key to protein synthesis, energy metabolism, cell signaling and gene expression; however, the contribution of specific maternal amino acids to fetal growth is unclear., Methods: We explored the effect of maternal circulating amino acids on fetal growth, proxied by birthweight, using two-sample Mendelian randomisation (MR) and summary data from a genome-wide association study (GWAS) of serum amino acids levels (sample 1, n = 86,507) and a maternal GWAS of offspring birthweight in UK Biobank and Early Growth Genetics Consortium, adjusting for fetal genotype effects (sample 2, n = 406,063 with maternal and/or fetal genotype effect estimates). A total of 106 independent single nucleotide polymorphisms robustly associated with 19 amino acids (p < 4.9 × 10 -10 ) were used as genetic instrumental variables (IV). Wald ratio and inverse variance weighted methods were used in MR main analysis. A series of sensitivity analyses were performed to explore IV assumption violations., Findings: Our results provide evidence that maternal circulating glutamine (59 g offspring birthweight increase per standard deviation increase in maternal amino acid level, 95% CI: 7, 110) and serine (27 g, 95% CI: 9, 46) raise, while leucine (-59 g, 95% CI: -106, -11) and phenylalanine (-25 g, 95% CI: -47, -4) lower offspring birthweight. These findings are supported by sensitivity analyses., Interpretation: Our findings strengthen evidence for key roles of maternal circulating amino acids during pregnancy in healthy fetal growth., Funding: A full list of funding bodies that contributed to this study can be found under Acknowledgments., Competing Interests: Declaration of interests DAL has received support from Medtronic Ltd and Roche Diagnostics for research unrelated to this study. All other authors declare no conflicts of interest., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)
Published: 2023
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50. Mendelian randomization analysis of factors related to ovulation and reproductive function and endometrial cancer risk.

Author: D'Urso S, Arumugam P, Weider T, Hwang LD, Bond TA, Kemp JP, Warrington NM, Evans DM, O'Mara TA, and Moen GH
Subjects: Female, Humans, Genome-Wide Association Study, Body Mass Index, Polymorphism, Single Nucleotide, Risk Factors, Ovulation, Mendelian Randomization Analysis, Endometrial Neoplasms
Abstract: Background: Observational epidemiological studies suggest a link between several factors related to ovulation and reproductive function and endometrial cancer (EC) risk; however, it is not clear whether these relationships are causal, and whether the risk factors act independently of each other. The aim of this study was to investigate putative causal relationships between the number of live births, age at last live birth, and years ovulating and EC risk. METHODS: We conducted a series of observational analyses to investigate various risk factors and EC risk in the UK Biobank (UKBB). Additionally, multivariate analysis was performed to elucidate the relationship between the number of live births, age at last live birth, and years ovulating and other related factors such as age at natural menopause, age at menarche, and body mass index (BMI). Secondly, we used Mendelian randomization (MR) to assess if these observed relationships were causal. Genome-wide significant single nucleotide polymorphisms (SNPs) were extracted from previous studies of woman's number of live births, age at menopause and menarche, and BMI. We conducted a genome-wide association analysis using the UKBB to identify SNPs associated with years ovulating, years using the contraceptive pill, and age at last live birth., Results: We found evidence for a causal effect of the number of live births (inverse variance weighted (IVW) odds ratio (OR): 0.537, p = 0.006), the number of years ovulating (IVW OR: 1.051, p = 0.014), in addition to the known risk factors BMI, age at menarche, and age at menopause on EC risk in the univariate MR analyses. Due to the close relationships between these factors, we followed up with multivariable MR (MVMR) analysis. Results from the MVMR analysis showed that number of live births had a causal effect on EC risk (OR: 0.783, p = 0.036) independent of BMI, age at menarche and age at menopause., Conclusions: MVMR analysis showed that the number of live births causally reduced the risk of EC., (© 2022. The Author(s).)
Published: 2022
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