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Janine F Felix, Jonathan P Bradfield, Claire Monnereau +112 more · 2016 · Human molecular genetics · Oxford University Press · added 2026-04-24
Janine F Felix, Jonathan P Bradfield, Claire Monnereau, Ralf J P van der Valk, Evie Stergiakouli, Alessandra Chesi, Romy Gaillard, Bjarke Feenstra, Elisabeth Thiering, Eskil Kreiner-Møller, Anubha Mahajan, Niina Pitkänen, Raimo Joro, Alana Cavadino, Ville Huikari, Steve Franks, Maria M Groen-Blokhuis, Diana L Cousminer, Julie A Marsh, Terho Lehtimäki, John A Curtin, Jesus Vioque, Tarunveer S Ahluwalia, Ronny Myhre, Thomas S Price, Natalia Vilor-Tejedor, Loïc Yengo, Niels Grarup, Ioanna Ntalla, Wei Ang, Mustafa Atalay, Hans Bisgaard, Alexandra I Blakemore, Amelie Bonnefond, Lisbeth Carstensen, Bone Mineral Density in Childhood Study (BMDCS), Early Genetics and Lifecourse Epidemiology (EAGLE) consortium, Johan Eriksson, Claudia Flexeder, Lude Franke, Frank Geller, Mandy Geserick, Anna-Liisa Hartikainen, Claire M A Haworth, Joel N Hirschhorn, Albert Hofman, Jens-Christian Holm, Momoko Horikoshi, Jouke Jan Hottenga, Jinyan Huang, Haja N Kadarmideen, Mika Kähönen, Wieland Kiess, Hanna-Maaria Lakka, Timo A Lakka, Alexandra M Lewin, Liming Liang, Leo-Pekka Lyytikäinen, Baoshan Ma, Per Magnus, Shana E McCormack, George McMahon, Frank D Mentch, Christel M Middeldorp, Clare S Murray, Katja Pahkala, Tune H Pers, Roland Pfäffle, Dirkje S Postma, Christine Power, Angela Simpson, Verena Sengpiel, Carla M T Tiesler, Maties Torrent, André G Uitterlinden, Joyce B van Meurs, Rebecca Vinding, Johannes Waage, Jane Wardle, Eleftheria Zeggini, Babette S Zemel, George V Dedoussis, Oluf Pedersen, Philippe Froguel, Jordi Sunyer, Robert Plomin, Bo Jacobsson, Torben Hansen, Juan R Gonzalez, Adnan Custovic, Olli T Raitakari, Craig E Pennell, Elisabeth Widén, Dorret I Boomsma, Gerard H Koppelman, Sylvain Sebert, Marjo-Riitta Järvelin, Elina Hyppönen, Mark I McCarthy, Virpi Lindi, Niinikoski Harri, Antje Körner, Klaus Bønnelykke, Joachim Heinrich, Mads Melbye, Fernando Rivadeneira, Hakon Hakonarson, Susan M Ring, George Davey Smith, Thorkild I A Sørensen, Nicholas J Timpson, Struan F A Grant, Vincent W V Jaddoe, Early Growth Genetics (EGG) Consortium, Bone Mineral Density in Childhood Study BMDCS Show less
A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide associatio Show more
A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We included 35 668 children from 20 studies in the discovery phase and 11 873 children from 13 studies in the replication phase. In total, 15 loci reached genome-wide significance (P-value < 5 × 10(-8)) in the joint discovery and replication analysis, of which 12 are previously identified loci in or close to ADCY3, GNPDA2, TMEM18, SEC16B, FAIM2, FTO, TFAP2B, TNNI3K, MC4R, GPR61, LMX1B and OLFM4 associated with adult body mass index or childhood obesity. We identified three novel loci: rs13253111 near ELP3, rs8092503 near RAB27B and rs13387838 near ADAM23. Per additional risk allele, body mass index increased 0.04 Standard Deviation Score (SDS) [Standard Error (SE) 0.007], 0.05 SDS (SE 0.008) and 0.14 SDS (SE 0.025), for rs13253111, rs8092503 and rs13387838, respectively. A genetic risk score combining all 15 SNPs showed that each additional average risk allele was associated with a 0.073 SDS (SE 0.011, P-value = 3.12 × 10(-10)) increase in childhood body mass index in a population of 1955 children. This risk score explained 2% of the variance in childhood body mass index. This study highlights the shared genetic background between childhood and adult body mass index and adds three novel loci. These loci likely represent age-related differences in strength of the associations with body mass index. Show less
no PDF DOI: 10.1093/hmg/ddv472
ADCY3
Nicole M Warrington, Laura D Howe, Lavinia Paternoster +15 more · 2015 · International journal of epidemiology · Oxford University Press · added 2026-04-24
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 Show more
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. 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. 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 < 1.13 × 10(-8)) with BMI at 8 years and/or change over time. This GWAS of BMI trajectories over childhood identified a novel locus that warrants further investigation. We also observed genome-wide significance with previously established obesity loci, making the novel observation that these loci affected both the level and the rate of change in BMI. We have demonstrated that the use of repeated measures data can increase power to allow detection of genetic loci with smaller sample sizes. Show less
📄 PDF DOI: 10.1093/ije/dyv077
ADCY3
Coffee and Caffeine Genetics Consortium, Marilyn C Cornelis, Enda M Byrne +155 more · 2015 · Molecular psychiatry · Nature · added 2026-04-24
Coffee and Caffeine Genetics Consortium, Marilyn C Cornelis, Enda M Byrne, Tõnu Esko, Michael A Nalls, Andrea Ganna, Nina Paynter, Keri L Monda, Najaf Amin, Krista Fischer, Frida Renstrom, Julius S Ngwa, Ville Huikari, Alana Cavadino, Ilja M Nolte, Alexander Teumer, Kai Yu, Pedro Marques-Vidal, Rajesh Rawal, Ani Manichaikul, Mary K Wojczynski, Jacqueline M Vink, Jing Hua Zhao, George Burlutsky, Jari Lahti, Vera Mikkilä, Rozenn N Lemaitre, Joel Eriksson, Solomon K Musani, Toshiko Tanaka, Frank Geller, Jian'an Luan, Jennie Hui, Reedik Mägi, Maria Dimitriou, Melissa E Garcia, Weang-Kee Ho, Margaret J Wright, Lynda M Rose, Patrik Ke Magnusson, Nancy L Pedersen, David Couper, Ben A Oostra, Albert Hofman, Mohammad Arfan Ikram, Henning W Tiemeier, Andre G Uitterlinden, Frank Ja van Rooij, Inês Barroso, Ingegerd Johansson, Luting Xue, Marika Kaakinen, Lili Milani, Chris Power, Harold Snieder, Ronald P Stolk, Sebastian E Baumeister, Reiner Biffar, Fangyi Gu, François Bastardot, Zoltán Kutalik, David R Jacobs, Nita G Forouhi, Evelin Mihailov, Lars Lind, Cecilia Lindgren, Karl Michaëlsson, Andrew Morris, Majken Jensen, Kay-Tee Khaw, Robert N Luben, Jie Jin Wang, Satu Männistö, Mia-Maria Perälä, Mika Kähönen, Terho Lehtimäki, Jorma Viikari, Dariush Mozaffarian, Kenneth Mukamal, Bruce M Psaty, Angela Döring, Andrew C Heath, Grant W Montgomery, Norbert Dahmen, Teresa Carithers, Katherine L Tucker, Luigi Ferrucci, Heather A Boyd, Mads Melbye, Jorien L Treur, Dan Mellström, Jouke Jan Hottenga, Inga Prokopenko, Anke Tönjes, Panos Deloukas, Stavroula Kanoni, Mattias Lorentzon, Denise K Houston, Yongmei Liu, John Danesh, Asif Rasheed, Marc A Mason, Alan B Zonderman, Lude Franke, Bruce S Kristal, International Parkinson’s Disease Genomics Consortium (IPDGC), North American Brain Expression Consortium (NABEC), UK Brain Expression Consortium (UKBEC), Juha Karjalainen, Danielle R Reed, Harm-Jan Westra, Michele K Evans, Danish Saleheen, Tamara B Harris, George Dedoussis, Gary Curhan, Michael Stumvoll, John Beilby, Louis R Pasquale, Bjarke Feenstra, Stefania Bandinelli, Jose M Ordovas, Andrew T Chan, Ulrike Peters, Claes Ohlsson, Christian Gieger, Nicholas G Martin, Melanie Waldenberger, David S Siscovick, Olli Raitakari, Johan G Eriksson, Paul Mitchell, David J Hunter, Peter Kraft, Eric B Rimm, Dorret I Boomsma, Ingrid B Borecki, Ruth Jf Loos, Nicholas J Wareham, Peter Vollenweider, Neil Caporaso, Hans Jörgen Grabe, Marian L Neuhouser, Bruce Hr Wolffenbuttel, Frank B Hu, Elina Hyppönen, Marjo-Riitta Järvelin, L Adrienne Cupples, Paul W Franks, Paul M Ridker, Cornelia M Van Duijn, Gerardo Heiss, Andres Metspalu, Kari E North, Erik Ingelsson, Jennifer A Nettleton, Rob M Van Dam, Daniel I Chasman Show less
Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome- Show more
Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to 91,462 coffee consumers of European ancestry with top single-nucleotide polymorphisms (SNPs) followed-up in ~30 062 and 7964 coffee consumers of European and African-American ancestry, respectively. Studies from both stages were combined in a trans-ethnic meta-analysis. Confirmed loci were examined for putative functional and biological relevance. Eight loci, including six novel loci, met GW significance (log10Bayes factor (BF)>5.64) with per-allele effect sizes of 0.03-0.14 cups per day. Six are located in or near genes potentially involved in pharmacokinetics (ABCG2, AHR, POR and CYP1A2) and pharmacodynamics (BDNF and SLC6A4) of caffeine. Two map to GCKR and MLXIPL genes related to metabolic traits but lacking known roles in coffee consumption. Enhancer and promoter histone marks populate the regions of many confirmed loci and several potential regulatory SNPs are highly correlated with the lead SNP of each. SNP alleles near GCKR, MLXIPL, BDNF and CYP1A2 that were associated with higher coffee consumption have previously been associated with smoking initiation, higher adiposity and fasting insulin and glucose but lower blood pressure and favorable lipid, inflammatory and liver enzyme profiles (P<5 × 10(-8)).Our genetic findings among European and African-American adults reinforce the role of caffeine in mediating habitual coffee consumption and may point to molecular mechanisms underlying inter-individual variability in pharmacological and health effects of coffee. Show less
📄 PDF DOI: 10.1038/mp.2014.107
MLXIPL
Diana L Cousminer, Diane J Berry, Nicholas J Timpson +68 more · 2013 · Human molecular genetics · Oxford University Press · added 2026-04-24
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 genet Show more
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 < 1.67 × 10(-8)) at 10 loci, including LIN28B. Five loci associated with pubertal timing, all impacting multiple aspects of growth. In particular, a novel variant correlated with expression of MAPK3, and associated both with increased prepubertal growth and earlier menarche. Another variant near ADCY3-POMC associated with increased body mass index, reduced pubertal growth and earlier puberty. Whereas epidemiological correlations suggest that early puberty marks a pathway from rapid prepubertal growth to reduced final height and adult obesity, our study shows that individual loci associating with pubertal growth have variable longitudinal growth patterns that may differ from epidemiological observations. Overall, this study uncovers part of the complex genetic architecture linking pubertal height growth, the timing of puberty and childhood obesity and provides new information to pinpoint processes linking these traits. Show less
no PDF DOI: 10.1093/hmg/ddt104
ADCY3