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1. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

Author: Zillikens, MC, Demissie, S, Hsu, YH, Yerges-Armstrong, LM, Chou, WC, Stolk, L, Livshits, G, Broer, L, Johnson, T, Koller, DL, Kutalik, Z, Luan, J, Malkin, I, Ried, JS, Smith, AV, Thorleifsson, G, Vandenput, L, Hua Zhao, J, Zhang, W, Aghdassi, A, Åkesson, K, Amin, N, Baier, LJ, Barroso, I, Bennett, DA, Bertram, L, Biffar, R, Bochud, M, Boehnke, M, Borecki, IB, Buchman, AS, Byberg, L, Campbell, H, Campos Obanda, N, Cauley, JA, Cawthon, PM, Cederberg, H, Chen, Z, Cho, NH, Jin Choi, H, Claussnitzer, M, Collins, F, Cummings, SR, De Jager, PL, Demuth, I, Dhonukshe-Rutten, RAM, DIatchenko, L, Eiriksdottir, G, Enneman, AW, Erdos, M, Eriksson, JG, Eriksson, J, Estrada, K, Evans, DS, Feitosa, MF, Fu, M, Garcia, M, Gieger, C, Girke, T, Glazer, NL, and Grallert, H
Abstract: © 2017 The Author(s). Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10-8) or suggestively genome wide (p < 2.3 × 10-6). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.
Published: 2017

2. Genome-wide association study meta-analysis for quantitative ultrasound parameters of bone identifies five novel loci for broadband ultrasound attenuation

Author: Mullin, BH, Hua Zhao, J, Brown, SJ, Perry, JRB, Luan, J, Zheng, HF, Langenberg, C, Dudbridge, F, Scott, R, Wareham, NJ, Spector, TD, Brent Richards, J, Walsh, JP, Wilson, SG, Zhao, Jing Hua [0000-0003-4930-3582], Perry, John [0000-0001-6483-3771], Luan, Jian'an [0000-0003-3137-6337], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository
Subjects: musculoskeletal diseases, Adult, Aged, 80 and over, Male, Middle Aged, Calcaneus, Fractures, Bone, Absorptiometry, Photon, Bone Density, Humans, Osteoporosis, Female, Aged, Genome-Wide Association Study, Ultrasonography
Abstract: Osteoporosis is a common and debilitating bone disease that is characterised by low bone mineral density, typically assessed using dual-energy X-ray absorptiometry. Quantitative ultrasound (QUS), commonly utilising the two parameters velocity of sound (VOS) and broadband ultrasound attenuation (BUA), is an alternative technology used to assess bone properties at peripheral skeletal sites. The genetic influence on the bone qualities assessed by QUS remains an under-studied area. We performed a comprehensive genome-wide association study (GWAS) including low-frequency variants (minor allele frequency $\geq$ 0.005) for BUA and VOS using a discovery population of individuals with whole-genome sequence (WGS) data from the UK10K project ($n$ = 1268). These results were then meta-analysed with those from two deeply imputed GWAS replication cohorts ($n$ = 1610 and 13 749). In the gender-combined analysis, we identified eight loci associated with BUA and five with VOS at the genome-wide significance level, including three novel loci for BUA at 8p23.1 (PPP1R3B), 11q23.1 (LOC387810) and 22q11.21 (SEPT5) (P = 2.4 x 10$^{-8}$ to 1.6 x 10$^{-9}$). Gene-based association testing in the gender-combined dataset revealed eight loci associated with BUA and seven with VOS after correction for multiple testing, with one novel locus for BUA at FAM167A (8p23.1) (P = 1.4 x 10$^{-6}$). An additional novel locus for BUA was seen in the male-specific analysis at DEFB103B (8p23.1) (P = 1.8 x 10$^{-6}$). Fracture analysis revealed significant associations between variation at the WNT16 and RSPO3 loci and fracture risk (P = 0.004 and 4.0 x 10$^{-4}$, respectively). In conclusion, by performing a large GWAS meta-analysis for QUS parameters of bone using a combination of WGS and deeply imputed genotype data, we have identified five novel genetic loci associated with BUA.
Published: 2017
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3. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Author: Zillikens, M.C., Demissie, S., Hsu, Y.H., Yerges-Armstrong, L.M., Chou, W.C., Stolk, L., Livshits, G., Broer, L., Johnson, T., Koller, D.L., Kutalik, Z., Luan, J., Malkin, I., Ried, J.S., Smith, A.V., Thorleifsson, G., Vandenput, L., Hua Zhao, J., Zhang, W., Aghdassi, A., Åkesson, K., Amin, N., Baier, L.J., Barroso, I., Bennett, D.A., Bertram, L., Biffar, R., Bochud, M., Boehnke, M., Borecki, I.B., Buchman, A.S., Byberg, L., Campbell, H., Campos Obanda, N., Cauley, J.A., Cawthon, P.M., Cederberg, H., Chen, Z., Cho, N.H., Jin Choi, H., Claussnitzer, M., Collins, F., Cummings, S.R., De Jager, P.L., Demuth, I., Dhonukshe-Rutten, RAM, Diatchenko, L., Eiriksdottir, G., Enneman, A.W., Erdos, M., Eriksson, J.G., Eriksson, J., Estrada, K., Evans, D.S., Feitosa, M.F., Fu, M., Garcia, M., Gieger, C., Girke, T., Glazer, N.L., Grallert, H., Grewal, J., Han, B.G., Hanson, R.L., Hayward, C., Hofman, A., Hoffman, E.P., Homuth, G., Hsueh, W.C., Hubal, M.J., Hubbard, A., Huffman, K.M., Husted, L.B., Illig, T., Ingelsson, E., Ittermann, T., Jansson, J.O., Jordan, J.M., Jula, A., Karlsson, M., Khaw, K.T., Kilpeläinen, T.O., Klopp, N., Kloth, JSL, Koistinen, H.A., Kraus, W.E., Kritchevsky, S., Kuulasmaa, T., Kuusisto, J., Laakso, M., Lahti, J., Lang, T., Langdahl, B.L., Launer, L.J., Lee, J.Y., Lerch, M.M., Lewis, J.R., Lind, L., Lindgren, C., Liu, Y., Liu, T., Ljunggren, Ö., Lorentzon, M., Luben, R.N., Maixner, W., McGuigan, F.E., Medina-Gomez, C., Meitinger, T., Melhus, H., Mellström, D., Melov, S., Michaëlsson, K., Mitchell, B.D., Morris, A.P., Mosekilde, L., Newman, A., Nielson, C.M., O'Connell, J.R., Oostra, B.A., Orwoll, E.S., Palotie, A., Parker, S., Peacock, M., Perola, M., Peters, A., Polasek, O., Prince, R.L., Räikkönen, K., Ralston, S.H., Ripatti, S., Robbins, J.A., Rotter, J.I., Rudan, I., Salomaa, V., Satterfield, S., Schadt, E.E., Schipf, S., Scott, L., Sehmi, J., Shen, J., Soo Shin, C., Sigurdsson, G., Smith, S., Soranzo, N., Stančáková, A., Steinhagen-Thiessen, E., Streeten, E.A., Styrkarsdottir, U., Swart, KMA, Tan, S.T., Tarnopolsky, M.A., Thompson, P., Thomson, C.A., Thorsteinsdottir, U., Tikkanen, E., Tranah, G.J., Tuomilehto, J., van Schoor, N.M., Verma, A., Vollenweider, P., Völzke, H., Wactawski-Wende, J., Walker, M., Weedon, M.N., Welch, R., Wichmann, H.E., Widen, E., Williams, FMK, Wilson, J.F., Wright, N.C., Xie, W., Yu, L., Zhou, Y., Chambers, J.C., Döring, A., van Duijn, C.M., Econs, M.J., Gudnason, V., Kooner, J.S., Psaty, B.M., Spector, T.D., Stefansson, K., Rivadeneira, F., Uitterlinden, A.G., Wareham, N.J., Ossowski, V., Waterworth, D., Loos, RJF, Karasik, D., Harris, T.B., Ohlsson, C., Kiel, D.P., Zillikens, M.C., Demissie, S., Hsu, Y.H., Yerges-Armstrong, L.M., Chou, W.C., Stolk, L., Livshits, G., Broer, L., Johnson, T., Koller, D.L., Kutalik, Z., Luan, J., Malkin, I., Ried, J.S., Smith, A.V., Thorleifsson, G., Vandenput, L., Hua Zhao, J., Zhang, W., Aghdassi, A., Åkesson, K., Amin, N., Baier, L.J., Barroso, I., Bennett, D.A., Bertram, L., Biffar, R., Bochud, M., Boehnke, M., Borecki, I.B., Buchman, A.S., Byberg, L., Campbell, H., Campos Obanda, N., Cauley, J.A., Cawthon, P.M., Cederberg, H., Chen, Z., Cho, N.H., Jin Choi, H., Claussnitzer, M., Collins, F., Cummings, S.R., De Jager, P.L., Demuth, I., Dhonukshe-Rutten, RAM, Diatchenko, L., Eiriksdottir, G., Enneman, A.W., Erdos, M., Eriksson, J.G., Eriksson, J., Estrada, K., Evans, D.S., Feitosa, M.F., Fu, M., Garcia, M., Gieger, C., Girke, T., Glazer, N.L., Grallert, H., Grewal, J., Han, B.G., Hanson, R.L., Hayward, C., Hofman, A., Hoffman, E.P., Homuth, G., Hsueh, W.C., Hubal, M.J., Hubbard, A., Huffman, K.M., Husted, L.B., Illig, T., Ingelsson, E., Ittermann, T., Jansson, J.O., Jordan, J.M., Jula, A., Karlsson, M., Khaw, K.T., Kilpeläinen, T.O., Klopp, N., Kloth, JSL, Koistinen, H.A., Kraus, W.E., Kritchevsky, S., Kuulasmaa, T., Kuusisto, J., Laakso, M., Lahti, J., Lang, T., Langdahl, B.L., Launer, L.J., Lee, J.Y., Lerch, M.M., Lewis, J.R., Lind, L., Lindgren, C., Liu, Y., Liu, T., Ljunggren, Ö., Lorentzon, M., Luben, R.N., Maixner, W., McGuigan, F.E., Medina-Gomez, C., Meitinger, T., Melhus, H., Mellström, D., Melov, S., Michaëlsson, K., Mitchell, B.D., Morris, A.P., Mosekilde, L., Newman, A., Nielson, C.M., O'Connell, J.R., Oostra, B.A., Orwoll, E.S., Palotie, A., Parker, S., Peacock, M., Perola, M., Peters, A., Polasek, O., Prince, R.L., Räikkönen, K., Ralston, S.H., Ripatti, S., Robbins, J.A., Rotter, J.I., Rudan, I., Salomaa, V., Satterfield, S., Schadt, E.E., Schipf, S., Scott, L., Sehmi, J., Shen, J., Soo Shin, C., Sigurdsson, G., Smith, S., Soranzo, N., Stančáková, A., Steinhagen-Thiessen, E., Streeten, E.A., Styrkarsdottir, U., Swart, KMA, Tan, S.T., Tarnopolsky, M.A., Thompson, P., Thomson, C.A., Thorsteinsdottir, U., Tikkanen, E., Tranah, G.J., Tuomilehto, J., van Schoor, N.M., Verma, A., Vollenweider, P., Völzke, H., Wactawski-Wende, J., Walker, M., Weedon, M.N., Welch, R., Wichmann, H.E., Widen, E., Williams, FMK, Wilson, J.F., Wright, N.C., Xie, W., Yu, L., Zhou, Y., Chambers, J.C., Döring, A., van Duijn, C.M., Econs, M.J., Gudnason, V., Kooner, J.S., Psaty, B.M., Spector, T.D., Stefansson, K., Rivadeneira, F., Uitterlinden, A.G., Wareham, N.J., Ossowski, V., Waterworth, D., Loos, RJF, Karasik, D., Harris, T.B., Ohlsson, C., and Kiel, D.P.
Abstract: Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10(-8)) or suggestively genome wide (p < 2.3 × 10(-6)). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.Lean body mass is a highly heritable trait and is associated with various health conditions. Here, Kiel and colleagues perform a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.
Published: 2017

4. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

Author: Wessel, J, Chu, AY, Willems, SM, Wang, S, Yaghootkar, H, Brody, JA, Dauriz, M, Hivert, MF, Raghavan, S, Lipovich, L, Hidalgo, B, Fox, K, Huffman, JE, An, P, Lu, Y, Rasmussen-Torvik, LJ, Grarup, N, Ehm, MG, Li, L, Baldridge, AS, Stančáková, A, Abrol, R, Besse, C, Boland, A, Bork-Jensen, J, Fornage, M, Freitag, DF, Garcia, ME, Guo, X, Hara, K, Isaacs, A, Jakobsdottir, J, Lange, LA, Layton, JC, Li, M, Hua Zhao, J, Meidtner, K, Morrison, AC, Nalls, MA, Peters, MJ, Sabater-Lleal, M, Schurmann, C, Silveira, A, Smith, AV, Southam, L, Stoiber, MH, Strawbridge, RJ, Taylor, KD, Varga, TV, Allin, KH, Amin, N, Aponte, JL, Aung, T, Barbieri, C, Bihlmeyer, NA, Boehnke, M, Bombieri, C, Bowden, DW, Burns, SM, Chen, Y, Chen, YD, Cheng, CY, Correa, A, Czajkowski, J, Dehghan, A, Ehret, GB, Eiriksdottir, G, Escher, SA, Farmaki, AE, Frånberg, M, Gambaro, G, Giulianini, F, and Goddard, WA
Abstract: © 2015 Macmillan Publishers Limited. All rights reserved. Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01mmoll-1, P=3.4 × 10-12), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035pmolinsulinmmolglucose-1, P=0.048), but higher 2-h glucose (β=0.16±0.05mmoll-1, P=4.3 × 10-4). We identify a gene-based association with FG at G6PC2 (p SKAT =6.8 × 10-6) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004mmoll-1, P=1.3 × 10-8). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.
Published: 2015

5. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

Author: Wessel, J. Chu, A.Y. Willems, S.M. Wang, S. Yaghootkar, H. Brody, J.A. Dauriz, M. Hivert, M.-F. Raghavan, S. Lipovich, L. Hidalgo, B. Fox, K. Huffman, J.E. An, P. Lu, Y. Rasmussen-Torvik, L.J. Grarup, N. Ehm, M.G. Li, L. Baldridge, A.S. Stančáková, A. Abrol, R. Besse, C. Boland, A. Bork-Jensen, J. Fornage, M. Freitag, D.F. Garcia, M.E. Guo, X. Hara, K. Isaacs, A. Jakobsdottir, J. Lange, L.A. Layton, J.C. Li, M. Hua Zhao, J. Meidtner, K. Morrison, A.C. Nalls, M.A. Peters, M.J. Sabater-Lleal, M. Schurmann, C. Silveira, A. Smith, A.V. Southam, L. Stoiber, M.H. Strawbridge, R.J. Taylor, K.D. Varga, T.V. Allin, K.H. Amin, N. Aponte, J.L. Aung, T. Barbieri, C. Bihlmeyer, N.A. Boehnke, M. Bombieri, C. Bowden, D.W. Burns, S.M. Chen, Y. Chen, Y.-D. Cheng, C.-Y. Correa, A. Czajkowski, J. Dehghan, A. Ehret, G.B. Eiriksdottir, G. Escher, S.A. Farmaki, A.-E. Frånberg, M. Gambaro, G. Giulianini, F. Goddard, W.A. Goel, A. Gottesman, O. Grove, M.L. Gustafsson, S. Hai, Y. Hallmans, G. Heo, J. Hoffmann, P. Ikram, M.K. Jensen, R.A. Jørgensen, M.E. Jørgensen, T. Karaleftheri, M. Khor, C.C. Kirkpatrick, A. Kraja, A.T. Kuusisto, J. Lange, E.M. Lee, I.T. Lee, W.-J. Leong, A. Liao, J. Liu, C. Liu, Y. Lindgren, C.M. Linneberg, A. Malerba, G. Mamakou, V. Marouli, E. Maruthur, N.M. Matchan, A. McKean-Cowdin, R. McLeod, O. Metcalf, G.A. Mohlke, K.L. Muzny, D.M. Ntalla, I. Palmer, N.D. Pasko, D. Peter, A. Rayner, N.W. Renström, F. Rice, K. Sala, C.F. Sennblad, B. Serafetinidis, I. Smith, J.A. Soranzo, N. Speliotes, E.K. Stahl, E.A. Stirrups, K. Tentolouris, N. Thanopoulou, A. Torres, M. Traglia, M. Tsafantakis, E. Javad, S. Yanek, L.R. Zengini, E. Becker, D.M. Bis, J.C. Brown, J.B. Adrienne Cupples, L. Hansen, T. Ingelsson, E. Karter, A.J. Lorenzo, C. Mathias, R.A. Norris, J.M. Peloso, G.M. Sheu, W.H.-H. Toniolo, D. Vaidya, D. Varma, R. Wagenknecht, L.E. Boeing, H. Bottinger, E.P. Dedoussis, G. Deloukas, P. Ferrannini, E. Franco, O.H. Franks, P.W. Gibbs, R.A. Gudnason, V. Hamsten, A. Harris, T.B. Hattersley, A.T. Hayward, C. Hofman, A. Jansson, J.-H. Langenberg, C. Launer, L.J. Levy, D. Oostra, B.A. O'Donnell, C.J. O'Rahilly, S. Padmanabhan, S. Pankow, J.S. Polasek, O. Province, M.A. Rich, S.S. Ridker, P.M. Rudan, I. Schulze, M.B. Smith, B.H. Uitterlinden, A.G. Walker, M. Watkins, H. Wong, T.Y. Zeggini, E. Laakso, M. Borecki, I.B. Chasman, D.I. Pedersen, O. Psaty, B.M. Shyong Tai, E. Van Duijn, C.M. Wareham, N.J. Waterworth, D.M. Boerwinkle, E. Linda Kao, W.H. Florez, J.C. Loos, R.J.F. Wilson, J.G. Frayling, T.M. Siscovick, D.S. Dupuis, J. Rotter, J.I. Meigs, J.B. Scott, R.A. Goodarzi, M.O.
Abstract: Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01mmoll-1, P=3.4 × 10-12), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035pmolinsulin mmolglucose-1, P=0.048), but higher 2-h glucose (β=0.16±0.05mmoll-1, P=4.3 × 10-4). We identify a gene-based association with FG at G6PC2 (p SKAT =6.8 × 10-6) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004mmoll-1, P=1.3 × 10-8). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility. © 2015 Macmillan Publishers Limited. All rights reserved.
Published: 2015

6. 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., 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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£££Loïc£££ 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., Esko, T., 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£££Åsa K£££ 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£££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., Winkler, T.W., Croteau-Chonka, D.C., Locke, A.E., Strawbridge, R.J., Pers, T.H., Justice, A.E., Workalemahu, T., Wu, J.M., Buchkovich, M.L., Heard-Costa, N.L., Roman, T.S., Drong, A.W., Day, F.R., Luan, J., Randall, J.C., Scherag, A., Wood, A.R., Fehrmann, R., Karjalainen, J., Kahali, B., Liu, C.T., Schmidt, E.M., Anderson, D., Bragg-Gresham, J.L., Ehret, G.B., Feitosa, M.F., Jackson, A.U., Kleber, M.E., Mateo Leach, I., Medina-Gomez, C., Palmer, C.D., Pasko, D., Pechlivanis, S., Peters, M.J., Ju Sung, Y., Van Vliet-Ostaptchouk, J.V., Yengo, L., Arscott, G.M., Bellis, C., Bennett, A.J., Berne, C., Blüher, M., Bonnet, F., Böttcher, Y., Carba, D.B., Caspersen, I.H., Daw, E.W., Deelen, J., Delgado, G., Doney, A.S., Eklund, N., Erdos, M.R., Eury, E., Friedrich, N., Garcia, M.E., Giedraitis, V., Go, A.S., Golay, A., Grammer, T.B., Gräßler, J., Grewal, J., Groves, C.J., Hartman, C.A., Hassinen, M., Herzig, K.H., Helmer, Q., Hillege, H.L., Holmen, O., Hunt, S.C., Ittermann, T., James, A.L., Johansson, I., Juliusdottir, T., Kalafati, I.P., Kinnunen, L., Kooner, I.K., Lee, N.R., Lichtner, P., Lobbens, S., Magnusson, P.K., McArdle, W.L., Menni, C., Merger, S., Milani, L., Mills, R., Monda, K.L., Mooijaart, S.P., Mühleisen, T.W., Mulas, A., Nalls, M.A., Glorioso, N., Nolte, I.M., Rayner, N.W., Renstrom, F., Ried, J.S., Robertson, N.R., Rose, L.M., Scholtens, S., Seufferlein, T., Sitlani, C.M., Vernon Smith, A., Stringham, H.M., Sundström, J., Swertz, M.A., Swift, A.J., Syvänen, A.C., Tayo, B.O., Tomaschitz, A., Troffa, C., van Oort, F.V., Vonk, J.M., Waite, L.L., Wennauer, R., Wojczynski, M.K., Zhang, Q., Hua Zhao, J., Brennan, E.P., Choi, M., Gharavi, A.G., Hedman, Å.K., Hivert, M.F., Huang, J., Karpe, F., Kiryluk, K., Liang, L., Lifton, R.P., Ma, B., McKnight, A.J., McPherson, R., Min, J.L., Moffatt, M.F., Montgomery, G.W., Murabito, J.M., Nicholson, G., Nyholt, D.R., Olsson, C., Perry, J.R., Reinmaa, E., Salem, R.M., Schadt, E.E., Scott, R.A., Vallejo, E.E., Westra, H.J., Zondervan, K.T., Bakker, S.J., Beilby, J., Bergman, R.N., Blangero, J., Brown, M.J., Chines, P.S., Collins, F.S., Crawford, D.C., de Geus, E.J., Erbel, R., Eriksson, J.G., Ferrannini, E., Forouhi, N.G., Franco, O.H., Gansevoort, R.T., Haiman, C.A., Harris, T.B., Hattersley, A.T., Heliövaara, M., Hicks, A.A., Hingorani, A.D., Hoffmann, W., Humphries, S.E., Jarvelin, M.R., Johansen, B., Jousilahti, P., Jula, A.M., Keinanen-Kiukaanniemi, S.M., Kooner, J.S., Kraja, A.T., Lakka, T.A., Le Marchand, L., Lyssenko, V., Männistö, S., Marette, A., Matise, T.C., McKenzie, C.A., Musk, A.W., Möhlenkamp, S., Morris, A.D., Oldehinkel, A.J., Ong, K.K., Palmer, L.J., Penninx, B.W., Pramstaller, P.P., Raitakari, O.T., Rankinen, T., Rao, D.C., Rice, T.K., Ridker, P.M., Ritchie, M.D., Samani, N.J., Sarzynski, M.A., Schwarz, P.E., Shuldiner, A.R., Staessen, J.A., Steinthorsdottir, V., Stolk, R.P., Strauch, K., Tremblay, A., Vohl, M.C., Wilson, J.F., Witteman, J.C., Adair, L.S., Boehm, B.O., Bornstein, S.R., Bouchard, C., Cauchi, S., Caulfield, M.J., Chambers, J.C., Chasman, D.I., Cooper, R.S., Grabe, H.J., Jöckel, K.H., Munroe, P.B., Oostra, B.A., Palmer, C.N., Pedersen, N.L., Pérusse, L., Saaristo, T.E., Slagboom, P.E., Spector, T.D., Uitterlinden, A.G., Veronesi, G., Walker, M., Wareham, N.J., Wichmann, H.E., Abecasis, G.R., Assimes, T.L., Berndt, S.I., Borecki, I.B., Frayling, T.M., Groop, L.C., Hunter, D.J., Kaplan, R.C., O'Connell, J.R., Strachan, D.P., van Duijn, C.M., Willer, C.J., Visscher, P.M., Yang, J., Hirschhorn, J.N., Zillikens, M.C., McCarthy, M.I., Speliotes, E.K., North, K.E., Fox, C.S., Franks, P.W., Heid, I.M., Loos, R.J., Cupples, L.A., Morris, A.P., Lindgren, C.M., and Mohlke, 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

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

Author: Boraska, V., Jeroncic, A., Colonna, V., Southam, L., Nyholt, D.R., William Rayner, N., Perry, J.R., Toniolo, D., Albrecht, E., Ang, W., Bandinelli, S., Barbalic, M., Barroso, I., Beckmann, J.S., Biffar, R., Boomsma, D.I., Campbell, H., Corre, T., Erdmann, J., Esko, T., Fischer, K., Franceschini, N., Frayling, T.M., Girotto, G., Gonzalez, J.R., Harris, T.B., Heath, A.C., Heid, I.M., Hoffmann, W., Hofman, A., Horikoshi, M., Hua Zhao, J., Jackson, A.U., Hottenga, J.J., Jula, A., Kahonen, M., Khaw, K.T., Kiemeney, L.A.L.M., Klopp, N., Kutalik, Z., Lagou, V., Launer, L.J., Lehtimaki, T., Lemire, M., Lokki, M.L., Loley, C., Luan, J., Mangino, M., Mateo Leach, I., Medland, S.E., Mihailov, E., Montgomery, G.W., Navis, G., Newnham, J., Nieminen, M.S., Palotie, A., Panoutsopoulou, K., Peters, A., Pirastu, N., Polasek, O., Rehnstrom, K., Ripatti, S., Ritchie, G.R., Rivadeneira, F., Robino, A., Samani, N.J., Shin, S.Y., Sinisalo, J., Smit, J.H., Soranzo, N., Stolk, L., Swinkels, D.W., Tanaka, T., Teumer, A., Tonjes, A., Traglia, M., Tuomilehto, J., Valsesia, A., van Gilst, W.H., van Meurs, J.B., Smith, A.V., Viikari, J., Vink, J.M., Waeber, G., Warrington, N.M., Widen, E., Willemsen, G., Wright, A.F., Zanke, B.W., Zgaga, L., Wellcome Trust Case Control, C., Boehnke, M., d'Adamo, A.P., de Geus, E., Demerath, E.W., den Heijer, M., Eriksson, J.G., Ferrucci, L., Gieger, C., Gudnason, V., et al., Boraska, V., Jeroncic, A., Colonna, V., Southam, L., Nyholt, D.R., William Rayner, N., Perry, J.R., Toniolo, D., Albrecht, E., Ang, W., Bandinelli, S., Barbalic, M., Barroso, I., Beckmann, J.S., Biffar, R., Boomsma, D.I., Campbell, H., Corre, T., Erdmann, J., Esko, T., Fischer, K., Franceschini, N., Frayling, T.M., Girotto, G., Gonzalez, J.R., Harris, T.B., Heath, A.C., Heid, I.M., Hoffmann, W., Hofman, A., Horikoshi, M., Hua Zhao, J., Jackson, A.U., Hottenga, J.J., Jula, A., Kahonen, M., Khaw, K.T., Kiemeney, L.A.L.M., Klopp, N., Kutalik, Z., Lagou, V., Launer, L.J., Lehtimaki, T., Lemire, M., Lokki, M.L., Loley, C., Luan, J., Mangino, M., Mateo Leach, I., Medland, S.E., Mihailov, E., Montgomery, G.W., Navis, G., Newnham, J., Nieminen, M.S., Palotie, A., Panoutsopoulou, K., Peters, A., Pirastu, N., Polasek, O., Rehnstrom, K., Ripatti, S., Ritchie, G.R., Rivadeneira, F., Robino, A., Samani, N.J., Shin, S.Y., Sinisalo, J., Smit, J.H., Soranzo, N., Stolk, L., Swinkels, D.W., Tanaka, T., Teumer, A., Tonjes, A., Traglia, M., Tuomilehto, J., Valsesia, A., van Gilst, W.H., van Meurs, J.B., Smith, A.V., Viikari, J., Vink, J.M., Waeber, G., Warrington, N.M., Widen, E., Willemsen, G., Wright, A.F., Zanke, B.W., Zgaga, L., Wellcome Trust Case Control, C., Boehnke, M., d'Adamo, A.P., de Geus, E., Demerath, E.W., den Heijer, M., Eriksson, J.G., Ferrucci, L., Gieger, C., and Gudnason, V., et al.
Abstract: Item does not contain fulltext, 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 x 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 approximately 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

8. Hundreds of variants clustered in genomic loci and biological pathways affect human height.

Author: Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., Ferreira, T., Wood, A.R., Weyant, R.J., Segrè, A.V., Speliotes, E.K., Wheeler, E., Soranzo, N., Park, J.H., Yang, J., Gudbjartsson, D.F., Heard-Costa, N.L., Randall, J., Vernon Smith, A., Mägi, R., Pastinen, T., Liang, L., Heid, I.M., Luan, J., Thorleifsson, G., Winkler, T.W., Goddard, M.E., Sin Lo, K., Palmer, C.N., Workalemahu, T., Aulchenko, Y.S., Johansson, A., Zillikens, M.C., Feitosa, M.F., Esko, T., Johnson, T., Ketkar, S., Kraft, P., Mangino, M., Prokopenko, I., Absher, D., Albrecht, E., Ernst, F., Glazer, N.L., Hayward, C., Hottenga, J.J., Jacobs, K.B., Knowles, J.W., Kutalik, Z., Monda, K.L., Polasek, O., Preuss, M., Rayner, N.W., Robertson, N.R., Steinthorsdottir, V., Tyrer, J.P., Voight, B.F., Wiklund, F., Xu, J., Hua Zhao, J., Nyholt, D.R., Pellikka, N., Perola, M., Perry, J.R., Surakka, I., Tammesoo, M.L., Altmaier, E.L., Aben, K.K.H., Kiemeney, L.A.L.M., Heijer, M. den, Lango Allen, H., Estrada, K., Lettre, G., Berndt, S.I., Weedon, M.N., Rivadeneira, F., Willer, C.J., Jackson, A.U., Vedantam, S., Raychaudhuri, S., Ferreira, T., Wood, A.R., Weyant, R.J., Segrè, A.V., Speliotes, E.K., Wheeler, E., Soranzo, N., Park, J.H., Yang, J., Gudbjartsson, D.F., Heard-Costa, N.L., Randall, J., Vernon Smith, A., Mägi, R., Pastinen, T., Liang, L., Heid, I.M., Luan, J., Thorleifsson, G., Winkler, T.W., Goddard, M.E., Sin Lo, K., Palmer, C.N., Workalemahu, T., Aulchenko, Y.S., Johansson, A., Zillikens, M.C., Feitosa, M.F., Esko, T., Johnson, T., Ketkar, S., Kraft, P., Mangino, M., Prokopenko, I., Absher, D., Albrecht, E., Ernst, F., Glazer, N.L., Hayward, C., Hottenga, J.J., Jacobs, K.B., Knowles, J.W., Kutalik, Z., Monda, K.L., Polasek, O., Preuss, M., Rayner, N.W., Robertson, N.R., Steinthorsdottir, V., Tyrer, J.P., Voight, B.F., Wiklund, F., Xu, J., Hua Zhao, J., Nyholt, D.R., Pellikka, N., Perola, M., Perry, J.R., Surakka, I., Tammesoo, M.L., Altmaier, E.L., Aben, K.K.H., Kiemeney, L.A.L.M., and Heijer, M. den
Abstract: Contains fulltext : 88266.pdf (publisher's version ) (Closed access)
Published: 2010

9. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

Author: Justice, AE, Winkler, TW, Feitosa, MF, Graff, M, Fisher, VA, Young, K, Barata, L, Deng, X, Czajkowski, J, Hadley, D, Ngwa, JS, Ahluwalia, TS, Chu, AY, Heard-Costa, NL, Lim, E, Perez, J, Eicher, JD, Kutalik, Z, Xue, L, Mahajan, A, Renström, F, Wu, J, Qi, Q, Ahmad, S, Alfred, T, Amin, N, Bielak, LF, Bonnefond, A, Bragg, J, Cadby, G, Chittani, M, Coggeshall, S, Corre, T, Direk, N, Eriksson, J, Fischer, K, Gorski, M, Neergaard Harder, M, Horikoshi, M, Huang, T, Huffman, JE, Jackson, AU, Justesen, JM, Kanoni, S, Kinnunen, L, Kleber, ME, Komulainen, P, Kumari, M, Lim, U, Luan, J, Lyytikäinen, L-P, Mangino, M, Manichaikul, A, Marten, J, Middelberg, RPS, Müller-Nurasyid, M, Navarro, P, Pérusse, L, Pervjakova, N, Sarti, C, Smith, AV, Smith, JA, Stančáková, A, Strawbridge, RJ, Stringham, HM, Sung, YJ, Tanaka, T, Teumer, A, Trompet, S, Van Der Laan, SW, Van Der Most, PJ, Van Vliet-Ostaptchouk, JV, Vedantam, SL, Verweij, N, Vink, JM, Vitart, V, Wu, Y, Yengo, L, Zhang, W, Hua Zhao, J, Zimmermann, ME, Zubair, N, Abecasis, GR, Adair, LS, Afaq, S, Afzal, U, Bakker, SJL, Bartz, TM, Beilby, J, Bergman, RN, Bergmann, S, Biffar, R, Blangero, J, Boerwinkle, E, Bonnycastle, LL, Bottinger, E, Braga, D, Buckley, BM, Buyske, S, Campbell, H, Chambers, JC, Collins, FS, Curran, JE, De Borst, GJ, De Craen, AJM, De Geus, EJC, Dedoussis, G, Delgado, GE, Den Ruijter, HM, Eiriksdottir, G, Eriksson, AL, Esko, T, Faul, JD, Ford, I, Forrester, T, Gertow, K, Gigante, B, Glorioso, N, Gong, J, Grallert, H, Grammer, TB, Grarup, N, Haitjema, S, Hallmans, G, Hamsten, A, Hansen, T, Harris, TB, Hartman, CA, Hassinen, M, Hastie, ND, Heath, AC, Hernandez, D, Hindorff, L, Hocking, LJ, Hollensted, M, Holmen, OL, Homuth, G, Jan Hottenga, J, Huang, J, Hung, J, Hutri-Kähönen, N, Ingelsson, E, James, AL, Jansson, J-O, Jarvelin, M-R, Jhun, MA, Jørgensen, ME, Juonala, M, Kähönen, M, Karlsson, M, Koistinen, HA, Kolcic, I, Kolovou, G, Kooperberg, C, Krämer, BK, Kuusisto, J, Kvaløy, K, Lakka, TA, Langenberg, C, Launer, LJ, Leander, K, Lee, NR, Lind, L, Lindgren, CM, Linneberg, A, Lobbens, S, Loh, M, Lorentzon, M, Luben, R, Lubke, G, Ludolph-Donislawski, A, Lupoli, S, Madden, PAF, Männikkö, R, Marques-Vidal, P, Martin, NG, McKenzie, CA, McKnight, B, Mellström, D, Menni, C, Montgomery, GW, Musk, AB, Narisu, N, Nauck, M, Nolte, IM, Oldehinkel, AJ, Olden, M, Ong, KK, Padmanabhan, S, Peyser, PA, Pisinger, C, Porteous, DJ, Raitakari, OT, Rankinen, T, Rao, DC, Rasmussen-Torvik, LJ, Rawal, R, Rice, T, Ridker, PM, Rose, LM, Bien, SA, Rudan, I, Sanna, S, Sarzynski, MA, Sattar, N, Savonen, K, Schlessinger, D, Scholtens, S, Schurmann, C, Scott, RA, Sennblad, B, Siemelink, MA, Silbernagel, G, Slagboom, PE, Snieder, H, Staessen, JA, Stott, DJ, Swertz, MA, Swift, AJ, Taylor, KD, Tayo, BO, Thorand, B, Thuillier, D, Tuomilehto, J, Uitterlinden, AG, Vandenput, L, Vohl, M-C, Völzke, H, Vonk, JM, Waeber, G, Waldenberger, M, Westendorp, RGJ, Wild, S, Willemsen, G, Wolffenbuttel, BHR, Wong, A, Wright, AF, Zhao, W, Zillikens, MC, Baldassarre, D, Balkau, B, Bandinelli, S, Böger, CA, Boomsma, DI, Bouchard, C, Bruinenberg, M, Chasman, DI, Chen, Y-D, Chines, PS, Cooper, RS, Cucca, F, Cusi, D, Faire, UD, Ferrucci, L, Franks, PW, Froguel, P, Gordon-Larsen, P, Grabe, H-J, Gudnason, V, Haiman, CA, Hayward, C, Hveem, K, Johnson, AD, Wouter Jukema, J, Kardia, SLR, Kivimaki, M, Kooner, JS, Kuh, D, Laakso, M, Lehtimäki, T, Marchand, LL, März, W, McCarthy, MI, Metspalu, A, Morris, AP, Ohlsson, C, Palmer, LJ, Pasterkamp, G, Pedersen, O, Peters, A, Peters, U, Polasek, O, Psaty, BM, Qi, L, Rauramaa, R, Smith, BH, Sørensen, TIA, Strauch, K, Tiemeier, H, Tremoli, E, Van Der Harst, P, Vestergaard, H, Vollenweider, P, Wareham, NJ, Weir, DR, Whitfield, JB, Wilson, JF, Tyrrell, J, Frayling, TM, Barroso, I, Boehnke, M, Deloukas, P, Fox, CS, Hirschhorn, JN, Hunter, DJ, Spector, TD, Strachan, DP, Van Duijn, CM, Heid, IM, Mohlke, KL, Marchini, J, Loos, RJF, Kilpeläinen, TO, Liu, C-T, Borecki, IB, North, KE, and Cupples, LA
Subjects: Adult, Waist-Hip Ratio, Quantitative Trait Loci, Smoking, Epistasis, Genetic, Polymorphism, Single Nucleotide, 3. Good health, Body Mass Index, Phenotype, Body Fat Distribution, Humans, Genetic Predisposition to Disease, Obesity, Waist Circumference, Adiposity, Genome-Wide Association Study
Abstract: Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.

10. Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Author: Zillikens MC, Demissie S, Hsu YH, Yerges-Armstrong LM, Chou WC, Stolk L, Livshits G, Broer L, Johnson T, Koller DL, Kutalik Z, Luan J, Malkin I, Ried JS, Smith AV, Thorleifsson G, Vandenput L, Hua Zhao J, Zhang W, Aghdassi A, Åkesson K, Amin N, Baier LJ, Barroso I, Bennett DA, Bertram L, Biffar R, Bochud M, Boehnke M, Borecki IB, Buchman AS, Byberg L, Campbell H, Campos Obanda N, Cauley JA, Cawthon PM, Cederberg H, Chen Z, Cho NH, Jin Choi H, Claussnitzer M, Collins F, Cummings SR, De Jager PL, Demuth I, Dhonukshe-Rutten RAM, Diatchenko L, Eiriksdottir G, Enneman AW, Erdos M, Eriksson JG, Eriksson J, Estrada K, Evans DS, Feitosa MF, Fu M, Garcia M, Gieger C, Girke T, Glazer NL, Grallert H, Grewal J, Han BG, Hanson RL, Hayward C, Hofman A, Hoffman EP, Homuth G, Hsueh WC, Hubal MJ, Hubbard A, Huffman KM, Husted LB, Illig T, Ingelsson E, Ittermann T, Jansson JO, Jordan JM, Jula A, Karlsson M, Khaw KT, Kilpeläinen TO, Klopp N, Kloth JSL, Koistinen HA, Kraus WE, Kritchevsky S, Kuulasmaa T, Kuusisto J, Laakso M, Lahti J, Lang T, Langdahl BL, Launer LJ, Lee JY, Lerch MM, Lewis JR, Lind L, Lindgren C, Liu Y, Liu T, Liu Y, Ljunggren Ö, Lorentzon M, Luben RN, Maixner W, McGuigan FE, Medina-Gomez C, Meitinger T, Melhus H, Mellström D, Melov S, Michaëlsson K, Mitchell BD, Morris AP, Mosekilde L, Newman A, Nielson CM, O'Connell JR, Oostra BA, Orwoll ES, Palotie A, Parker SCJ, Peacock M, Perola M, Peters A, Polasek O, Prince RL, Räikkönen K, Ralston SH, Ripatti S, Robbins JA, Rotter JI, Rudan I, Salomaa V, Satterfield S, Schadt EE, Schipf S, Scott L, Sehmi J, Shen J, Soo Shin C, Sigurdsson G, Smith S, Soranzo N, Stančáková A, Steinhagen-Thiessen E, Streeten EA, Styrkarsdottir U, Swart KMA, Tan ST, Tarnopolsky MA, Thompson P, Thomson CA, Thorsteinsdottir U, Tikkanen E, Tranah GJ, Tuomilehto J, van Schoor NM, Verma A, Vollenweider P, Völzke H, Wactawski-Wende J, Walker M, Weedon MN, Welch R, Wichmann HE, Widen E, Williams FMK, Wilson JF, Wright NC, Xie W, Yu L, Zhou Y, Chambers JC, Döring A, van Duijn CM, Econs MJ, Gudnason V, Kooner JS, Psaty BM, Spector TD, Stefansson K, Rivadeneira F, Uitterlinden AG, Wareham NJ, Ossowski V, Waterworth D, Loos RJF, Karasik D, Harris TB, Ohlsson C, and Kiel DP
Abstract: A correction to this article has been published and is linked from the HTML version of this article.
Published: 2017
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11. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

Author: Zillikens MC, Demissie S, Hsu YH, Yerges-Armstrong LM, Chou WC, Stolk L, Livshits G, Broer L, Johnson T, Koller DL, Kutalik Z, Luan J, Malkin I, Ried JS, Smith AV, Thorleifsson G, Vandenput L, Hua Zhao J, Zhang W, Aghdassi A, Åkesson K, Amin N, Baier LJ, Barroso I, Bennett DA, Bertram L, Biffar R, Bochud M, Boehnke M, Borecki IB, Buchman AS, Byberg L, Campbell H, Campos Obanda N, Cauley JA, Cawthon PM, Cederberg H, Chen Z, Cho NH, Jin Choi H, Claussnitzer M, Collins F, Cummings SR, De Jager PL, Demuth I, Dhonukshe-Rutten RAM, Diatchenko L, Eiriksdottir G, Enneman AW, Erdos M, Eriksson JG, Eriksson J, Estrada K, Evans DS, Feitosa MF, Fu M, Garcia M, Gieger C, Girke T, Glazer NL, Grallert H, Grewal J, Han BG, Hanson RL, Hayward C, Hofman A, Hoffman EP, Homuth G, Hsueh WC, Hubal MJ, Hubbard A, Huffman KM, Husted LB, Illig T, Ingelsson E, Ittermann T, Jansson JO, Jordan JM, Jula A, Karlsson M, Khaw KT, Kilpeläinen TO, Klopp N, Kloth JSL, Koistinen HA, Kraus WE, Kritchevsky S, Kuulasmaa T, Kuusisto J, Laakso M, Lahti J, Lang T, Langdahl BL, Launer LJ, Lee JY, Lerch MM, Lewis JR, Lind L, Lindgren C, Liu Y, Liu T, Liu Y, Ljunggren Ö, Lorentzon M, Luben RN, Maixner W, McGuigan FE, Medina-Gomez C, Meitinger T, Melhus H, Mellström D, Melov S, Michaëlsson K, Mitchell BD, Morris AP, Mosekilde L, Newman A, Nielson CM, O'Connell JR, Oostra BA, Orwoll ES, Palotie A, Parker SCJ, Peacock M, Perola M, Peters A, Polasek O, Prince RL, Räikkönen K, Ralston SH, Ripatti S, Robbins JA, Rotter JI, Rudan I, Salomaa V, Satterfield S, Schadt EE, Schipf S, Scott L, Sehmi J, Shen J, Soo Shin C, Sigurdsson G, Smith S, Soranzo N, Stančáková A, Steinhagen-Thiessen E, Streeten EA, Styrkarsdottir U, Swart KMA, Tan ST, Tarnopolsky MA, Thompson P, Thomson CA, Thorsteinsdottir U, Tikkanen E, Tranah GJ, Tuomilehto J, van Schoor NM, Verma A, Vollenweider P, Völzke H, Wactawski-Wende J, Walker M, Weedon MN, Welch R, Wichmann HE, Widen E, Williams FMK, Wilson JF, Wright NC, Xie W, Yu L, Zhou Y, Chambers JC, Döring A, van Duijn CM, Econs MJ, Gudnason V, Kooner JS, Psaty BM, Spector TD, Stefansson K, Rivadeneira F, Uitterlinden AG, Wareham NJ, Ossowski V, Waterworth D, Loos RJF, Karasik D, Harris TB, Ohlsson C, and Kiel DP
Subjects: 17-Hydroxysteroid Dehydrogenases genetics, ADAMTS Proteins genetics, Aldehyde Oxidoreductases genetics, Alpha-Ketoglutarate-Dependent Dioxygenase FTO genetics, Body Composition, Extracellular Matrix Proteins genetics, Humans, Insulin Receptor Substrate Proteins genetics, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Regulatory Elements, Transcriptional, Versicans genetics, Genome-Wide Association Study, Thinness genetics
Abstract: Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p < 5 × 10 -8 ) or suggestively genome wide (p < 2.3 × 10 -6 ). Replication in 63,475 (47,227 of European ancestry) individuals from 33 cohorts for whole body lean body mass and in 45,090 (42,360 of European ancestry) subjects from 25 cohorts for appendicular lean body mass was successful for five single-nucleotide polymorphisms in/near HSD17B11, VCAN, ADAMTSL3, IRS1, and FTO for total lean body mass and for three single-nucleotide polymorphisms in/near VCAN, ADAMTSL3, and IRS1 for appendicular lean body mass. Our findings provide new insight into the genetics of lean body mass.Lean body mass is a highly heritable trait and is associated with various health conditions. Here, Kiel and colleagues perform a meta-analysis of genome-wide association studies for whole body lean body mass and find five novel genetic loci to be significantly associated.
Published: 2017
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12. Loss of Cardioprotective Effects at the ADAMTS7 Locus as a Result of Gene-Smoking Interactions.

Author: Saleheen D, Zhao W, Young R, Nelson CP, Ho W, Ferguson JF, Rasheed A, Ou K, Nurnberg ST, Bauer RC, Goel A, Do R, Stewart AFR, Hartiala J, Zhang W, Thorleifsson G, Strawbridge RJ, Sinisalo J, Kanoni S, Sedaghat S, Marouli E, Kristiansson K, Hua Zhao J, Scott R, Gauguier D, Shah SH, Smith AV, van Zuydam N, Cox AJ, Willenborg C, Kessler T, Zeng L, Province MA, Ganna A, Lind L, Pedersen NL, White CC, Joensuu A, Edi Kleber M, Hall AS, März W, Salomaa V, O'Donnell C, Ingelsson E, Feitosa MF, Erdmann J, Bowden DW, Palmer CNA, Gudnason V, Faire U, Zalloua P, Wareham N, Thompson JR, Kuulasmaa K, Dedoussis G, Perola M, Dehghan A, Chambers JC, Kooner J, Allayee H, Deloukas P, McPherson R, Stefansson K, Schunkert H, Kathiresan S, Farrall M, Marcel Frossard P, Rader DJ, Samani NJ, and Reilly MP
Subjects: ADAMTS7 Protein genetics, Adult, Aged, Aged, 80 and over, Cells, Cultured, Coronary Disease epidemiology, Coronary Vessels pathology, Coronary Vessels physiology, Female, Gene-Environment Interaction, Genetic Predisposition to Disease epidemiology, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide genetics, Smoking adverse effects, Smoking epidemiology, Coronary Disease genetics, Coronary Disease prevention & control, Genetic Loci genetics, Genetic Predisposition to Disease genetics, Smoking genetics
Abstract: Background: Common diseases such as coronary heart disease (CHD) are complex in etiology. The interaction of genetic susceptibility with lifestyle factors may play a prominent role. However, gene-lifestyle interactions for CHD have been difficult to identify. Here, we investigate interaction of smoking behavior, a potent lifestyle factor, with genotypes that have been shown to associate with CHD risk., Methods: We analyzed data on 60 919 CHD cases and 80 243 controls from 29 studies for gene-smoking interactions for genetic variants at 45 loci previously reported to be associated with CHD risk. We also studied 5 loci associated with smoking behavior. Study-specific gene-smoking interaction effects were calculated and pooled using fixed-effects meta-analyses. Interaction analyses were declared to be significant at a P value of <1.0×10 -3 (Bonferroni correction for 50 tests)., Results: We identified novel gene-smoking interaction for a variant upstream of the ADAMTS7 gene. Every T allele of rs7178051 was associated with lower CHD risk by 12% in never-smokers ( P =1.3×10 -16 ) in comparison with 5% in ever-smokers ( P =2.5×10 -4 ), translating to a 60% loss of CHD protection conferred by this allelic variation in people who smoked tobacco (interaction P value=8.7×10 -5 ). The protective T allele at rs7178051 was also associated with reduced ADAMTS7 expression in human aortic endothelial cells and lymphoblastoid cell lines. Exposure of human coronary artery smooth muscle cells to cigarette smoke extract led to induction of ADAMTS7. CONCLUSIONS: Allelic variation at rs7178051 that associates with reduced ADAMTS7 expression confers stronger CHD protection in never-smokers than in ever-smokers. Increased vascular ADAMTS7 expression may contribute to the loss of CHD protection in smokers., (© 2017 American Heart Association, Inc.)
Published: 2017
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13. Evidence for large-scale gene-by-smoking interaction effects on pulmonary function.

Author: Aschard H, Tobin MD, Hancock DB, Skurnik D, Sood A, James A, Vernon Smith A, Manichaikul AW, Campbell A, Prins BP, Hayward C, Loth DW, Porteous DJ, Strachan DP, Zeggini E, O'Connor GT, Brusselle GG, Boezen HM, Schulz H, Deary IJ, Hall IP, Rudan I, Kaprio J, Wilson JF, Wilk JB, Huffman JE, Hua Zhao J, de Jong K, Lyytikäinen LP, Wain LV, Jarvelin MR, Kähönen M, Fornage M, Polasek O, Cassano PA, Barr RG, Rawal R, Harris SE, Gharib SA, Enroth S, Heckbert SR, Lehtimäki T, Gyllensten U, Jackson VE, Gudnason V, Tang W, Dupuis J, Soler Artigas M, Joshi AD, London SJ, and Kraft P
Subjects: Europe, Female, Humans, Linear Models, Male, Middle Aged, Multivariate Analysis, Polymorphism, Single Nucleotide, Risk Assessment, Spirometry, Forced Expiratory Volume genetics, Gene-Environment Interaction, Smoking epidemiology, Smoking genetics, Vital Capacity genetics
Abstract: Background: Smoking is the strongest environmental risk factor for reduced pulmonary function. The genetic component of various pulmonary traits has also been demonstrated, and at least 26 loci have been reproducibly associated with either FEV 1 (forced expiratory volume in 1 second) or FEV 1 /FVC (FEV 1 /forced vital capacity). Although the main effects of smoking and genetic loci are well established, the question of potential gene-by-smoking interaction effect remains unanswered. The aim of the present study was to assess, using a genetic risk score approach, whether the effect of these 26 loci on pulmonary function is influenced by smoking., Methods: We evaluated the interaction between smoking exposure, considered as either ever vs never or pack-years, and a 26-single nucleotide polymorphisms (SNPs) genetic risk score in relation to FEV 1 or FEV 1 /FVC in 50 047 participants of European ancestry from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) and SpiroMeta consortia., Results: We identified an interaction ( βint = -0.036, 95% confidence interval, -0.040 to -0.032, P = 0.00057) between an unweighted 26 SNP genetic risk score and smoking status (ever/never) on the FEV 1 /FVC ratio. In interpreting this interaction, we showed that the genetic risk of falling below the FEV /FVC threshold used to diagnose chronic obstructive pulmonary disease is higher among ever smokers than among never smokers. A replication analysis in two independent datasets, although not statistically significant, showed a similar trend in the interaction effect., Conclusions: This study highlights the benefit of using genetic risk scores for identifying interactions missed when studying individual SNPs and shows, for the first time, that persons with the highest genetic risk for low FEV 1 /FVC may be more susceptible to the deleterious effects of smoking., (© The Author 2017. Published by Oxford University Press on behalf of the International Epidemiological Association)
Published: 2017
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14. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.

Author: Justice AE, Winkler TW, Feitosa MF, Graff M, Fisher VA, Young K, Barata L, Deng X, Czajkowski J, Hadley D, Ngwa JS, Ahluwalia TS, Chu AY, Heard-Costa NL, Lim E, Perez J, Eicher JD, Kutalik Z, Xue L, Mahajan A, Renström F, Wu J, Qi Q, Ahmad S, Alfred T, Amin N, Bielak LF, Bonnefond A, Bragg J, Cadby G, Chittani M, Coggeshall S, Corre T, Direk N, Eriksson J, Fischer K, Gorski M, Neergaard Harder M, Horikoshi M, Huang T, Huffman JE, Jackson AU, Justesen JM, Kanoni S, Kinnunen L, Kleber ME, Komulainen P, Kumari M, Lim U, Luan J, Lyytikäinen LP, Mangino M, Manichaikul A, Marten J, Middelberg RPS, Müller-Nurasyid M, Navarro P, Pérusse L, Pervjakova N, Sarti C, Smith AV, Smith JA, Stančáková A, Strawbridge RJ, Stringham HM, Sung YJ, Tanaka T, Teumer A, Trompet S, van der Laan SW, van der Most PJ, Van Vliet-Ostaptchouk JV, Vedantam SL, Verweij N, Vink JM, Vitart V, Wu Y, Yengo L, Zhang W, Hua Zhao J, Zimmermann ME, Zubair N, Abecasis GR, Adair LS, Afaq S, Afzal U, Bakker SJL, Bartz TM, Beilby J, Bergman RN, Bergmann S, Biffar R, Blangero J, Boerwinkle E, Bonnycastle LL, Bottinger E, Braga D, Buckley BM, Buyske S, Campbell H, Chambers JC, Collins FS, Curran JE, de Borst GJ, de Craen AJM, de Geus EJC, Dedoussis G, Delgado GE, den Ruijter HM, Eiriksdottir G, Eriksson AL, Esko T, Faul JD, Ford I, Forrester T, Gertow K, Gigante B, Glorioso N, Gong J, Grallert H, Grammer TB, Grarup N, Haitjema S, Hallmans G, Hamsten A, Hansen T, Harris TB, Hartman CA, Hassinen M, Hastie ND, Heath AC, Hernandez D, Hindorff L, Hocking LJ, Hollensted M, Holmen OL, Homuth G, Jan Hottenga J, Huang J, Hung J, Hutri-Kähönen N, Ingelsson E, James AL, Jansson JO, Jarvelin MR, Jhun MA, Jørgensen ME, Juonala M, Kähönen M, Karlsson M, Koistinen HA, Kolcic I, Kolovou G, Kooperberg C, Krämer BK, Kuusisto J, Kvaløy K, Lakka TA, Langenberg C, Launer LJ, Leander K, Lee NR, Lind L, Lindgren CM, Linneberg A, Lobbens S, Loh M, Lorentzon M, Luben R, Lubke G, Ludolph-Donislawski A, Lupoli S, Madden PAF, Männikkö R, Marques-Vidal P, Martin NG, McKenzie CA, McKnight B, Mellström D, Menni C, Montgomery GW, Musk AB, Narisu N, Nauck M, Nolte IM, Oldehinkel AJ, Olden M, Ong KK, Padmanabhan S, Peyser PA, Pisinger C, Porteous DJ, Raitakari OT, Rankinen T, Rao DC, Rasmussen-Torvik LJ, Rawal R, Rice T, Ridker PM, Rose LM, Bien SA, Rudan I, Sanna S, Sarzynski MA, Sattar N, Savonen K, Schlessinger D, Scholtens S, Schurmann C, Scott RA, Sennblad B, Siemelink MA, Silbernagel G, Slagboom PE, Snieder H, Staessen JA, Stott DJ, Swertz MA, Swift AJ, Taylor KD, Tayo BO, Thorand B, Thuillier D, Tuomilehto J, Uitterlinden AG, Vandenput L, Vohl MC, Völzke H, Vonk JM, Waeber G, Waldenberger M, Westendorp RGJ, Wild S, Willemsen G, Wolffenbuttel BHR, Wong A, Wright AF, Zhao W, Zillikens MC, Baldassarre D, Balkau B, Bandinelli S, Böger CA, Boomsma DI, Bouchard C, Bruinenberg M, Chasman DI, Chen YD, Chines PS, Cooper RS, Cucca F, Cusi D, Faire U, Ferrucci L, Franks PW, Froguel P, Gordon-Larsen P, Grabe HJ, Gudnason V, Haiman CA, Hayward C, Hveem K, Johnson AD, Wouter Jukema J, Kardia SLR, Kivimaki M, Kooner JS, Kuh D, Laakso M, Lehtimäki T, Marchand LL, März W, McCarthy MI, Metspalu A, Morris AP, Ohlsson C, Palmer LJ, Pasterkamp G, Pedersen O, Peters A, Peters U, Polasek O, Psaty BM, Qi L, Rauramaa R, Smith BH, Sørensen TIA, Strauch K, Tiemeier H, Tremoli E, van der Harst P, Vestergaard H, Vollenweider P, Wareham NJ, Weir DR, Whitfield JB, Wilson JF, Tyrrell J, Frayling TM, Barroso I, Boehnke M, Deloukas P, Fox CS, Hirschhorn JN, Hunter DJ, Spector TD, Strachan DP, van Duijn CM, Heid IM, Mohlke KL, Marchini J, Loos RJF, Kilpeläinen TO, Liu CT, Borecki IB, North KE, and Cupples LA
Subjects: Adiposity genetics, Adult, Body Fat Distribution, Body Mass Index, Epistasis, Genetic, Humans, Phenotype, Polymorphism, Single Nucleotide, Waist Circumference genetics, Waist-Hip Ratio, Genetic Predisposition to Disease genetics, Genome-Wide Association Study methods, Obesity genetics, Quantitative Trait Loci genetics, Smoking genetics
Abstract: Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.
Published: 2017
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15. A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape.

Author: Ried JS, Jeff M J, Chu AY, Bragg-Gresham JL, van Dongen J, Huffman JE, Ahluwalia TS, Cadby G, Eklund N, Eriksson J, Esko T, Feitosa MF, Goel A, Gorski M, Hayward C, Heard-Costa NL, Jackson AU, Jokinen E, Kanoni S, Kristiansson K, Kutalik Z, Lahti J, Luan J, Mägi R, Mahajan A, Mangino M, Medina-Gomez C, Monda KL, Nolte IM, Pérusse L, Prokopenko I, Qi L, Rose LM, Salvi E, Smith MT, Snieder H, Stančáková A, Ju Sung Y, Tachmazidou I, Teumer A, Thorleifsson G, van der Harst P, Walker RW, Wang SR, Wild SH, Willems SM, Wong A, Zhang W, Albrecht E, Couto Alves A, Bakker SJ, Barlassina C, Bartz TM, Beilby J, Bellis C, Bergman RN, Bergmann S, Blangero J, Blüher M, Boerwinkle E, Bonnycastle LL, Bornstein SR, Bruinenberg M, Campbell H, Chen YI, Chiang CW, Chines PS, Collins FS, Cucca F, Cupples LA, D'Avila F, de Geus EJ, Dedoussis G, Dimitriou M, Döring A, Eriksson JG, Farmaki AE, Farrall M, Ferreira T, Fischer K, Forouhi NG, Friedrich N, Gjesing AP, Glorioso N, Graff M, Grallert H, Grarup N, Gräßler J, Grewal J, Hamsten A, Harder MN, Hartman CA, Hassinen M, Hastie N, Hattersley AT, Havulinna AS, Heliövaara M, Hillege H, Hofman A, Holmen O, Homuth G, Hottenga JJ, Hui J, Husemoen LL, Hysi PG, Isaacs A, Ittermann T, Jalilzadeh S, James AL, Jørgensen T, Jousilahti P, Jula A, Marie Justesen J, Justice AE, Kähönen M, Karaleftheri M, Tee Khaw K, Keinanen-Kiukaanniemi SM, Kinnunen L, Knekt PB, Koistinen HA, Kolcic I, Kooner IK, Koskinen S, Kovacs P, Kyriakou T, Laitinen T, Langenberg C, Lewin AM, Lichtner P, Lindgren CM, Lindström J, Linneberg A, Lorbeer R, Lorentzon M, Luben R, Lyssenko V, Männistö S, Manunta P, Leach IM, McArdle WL, Mcknight B, Mohlke KL, Mihailov E, Milani L, Mills R, Montasser ME, Morris AP, Müller G, Musk AW, Narisu N, Ong KK, Oostra BA, Osmond C, Palotie A, Pankow JS, Paternoster L, Penninx BW, Pichler I, Pilia MG, Polašek O, Pramstaller PP, Raitakari OT, Rankinen T, Rao DC, Rayner NW, Ribel-Madsen R, Rice TK, Richards M, Ridker PM, Rivadeneira F, Ryan KA, Sanna S, Sarzynski MA, Scholtens S, Scott RA, Sebert S, Southam L, Sparsø TH, Steinthorsdottir V, Stirrups K, Stolk RP, Strauch K, Stringham HM, Swertz MA, Swift AJ, Tönjes A, Tsafantakis E, van der Most PJ, Van Vliet-Ostaptchouk JV, Vandenput L, Vartiainen E, Venturini C, Verweij N, Viikari JS, Vitart V, Vohl MC, Vonk JM, Waeber G, Widén E, Willemsen G, Wilsgaard T, Winkler TW, Wright AF, Yerges-Armstrong LM, Hua Zhao J, Zillikens MC, Boomsma DI, Bouchard C, Chambers JC, Chasman DI, Cusi D, Gansevoort RT, Gieger C, Hansen T, Hicks AA, Hu F, Hveem K, Jarvelin MR, Kajantie E, Kooner JS, Kuh D, Kuusisto J, Laakso M, Lakka TA, Lehtimäki T, Metspalu A, Njølstad I, Ohlsson C, Oldehinkel AJ, Palmer LJ, Pedersen O, Perola M, Peters A, Psaty BM, Puolijoki H, Rauramaa R, Rudan I, Salomaa V, Schwarz PE, Shudiner AR, Smit JH, Sørensen TI, Spector TD, Stefansson K, Stumvoll M, Tremblay A, Tuomilehto J, Uitterlinden AG, Uusitupa M, Völker U, Vollenweider P, Wareham NJ, Watkins H, Wilson JF, Zeggini E, Abecasis GR, Boehnke M, Borecki IB, Deloukas P, van Duijn CM, Fox C, Groop LC, Heid IM, Hunter DJ, Kaplan RC, McCarthy MI, North KE, O'Connell JR, Schlessinger D, Thorsteinsdottir U, Strachan DP, Frayling T, Hirschhorn JN, Müller-Nurasyid M, and Loos RJ
Subjects: Genome-Wide Association Study, Genotype, Humans, Anthropometry, Body Size, Models, Genetic, Principal Component Analysis
Abstract: Large consortia have revealed hundreds of genetic loci associated with anthropometric traits, one trait at a time. We examined whether genetic variants affect body shape as a composite phenotype that is represented by a combination of anthropometric traits. We developed an approach that calculates averaged PCs (AvPCs) representing body shape derived from six anthropometric traits (body mass index, height, weight, waist and hip circumference, waist-to-hip ratio). The first four AvPCs explain >99% of the variability, are heritable, and associate with cardiometabolic outcomes. We performed genome-wide association analyses for each body shape composite phenotype across 65 studies and meta-analysed summary statistics. We identify six novel loci: LEMD2 and CD47 for AvPC1, RPS6KA5/C14orf159 and GANAB for AvPC3, and ARL15 and ANP32 for AvPC4. Our findings highlight the value of using multiple traits to define complex phenotypes for discovery, which are not captured by single-trait analyses, and may shed light onto new pathways., Competing Interests: Kari Stefansson, Valgerdur Steinthorsdottir, Gudmar Thorleifsson and Unnur Thorsteinsdottir are used by deCODE Genetics/Amgen inc. Gérard Waeber and Peter Vollenweider received an unrestricted grant from GSK to build the CoLaus study. Bruce M. Psaty serves on a DSMB for a clinical trial of a device funded by the manufacturer (Zoll LifeCor).
Published: 2016
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16. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.

Author: Wessel J, Chu AY, Willems SM, Wang S, Yaghootkar H, Brody JA, Dauriz M, Hivert MF, Raghavan S, Lipovich L, Hidalgo B, Fox K, Huffman JE, An P, Lu Y, Rasmussen-Torvik LJ, Grarup N, Ehm MG, Li L, Baldridge AS, Stančáková A, Abrol R, Besse C, Boland A, Bork-Jensen J, Fornage M, Freitag DF, Garcia ME, Guo X, Hara K, Isaacs A, Jakobsdottir J, Lange LA, Layton JC, Li M, Hua Zhao J, Meidtner K, Morrison AC, Nalls MA, Peters MJ, Sabater-Lleal M, Schurmann C, Silveira A, Smith AV, Southam L, Stoiber MH, Strawbridge RJ, Taylor KD, Varga TV, Allin KH, Amin N, Aponte JL, Aung T, Barbieri C, Bihlmeyer NA, Boehnke M, Bombieri C, Bowden DW, Burns SM, Chen Y, Chen YD, Cheng CY, Correa A, Czajkowski J, Dehghan A, Ehret GB, Eiriksdottir G, Escher SA, Farmaki AE, Frånberg M, Gambaro G, Giulianini F, Goddard WA 3rd, Goel A, Gottesman O, Grove ML, Gustafsson S, Hai Y, Hallmans G, Heo J, Hoffmann P, Ikram MK, Jensen RA, Jørgensen ME, Jørgensen T, Karaleftheri M, Khor CC, Kirkpatrick A, Kraja AT, Kuusisto J, Lange EM, Lee IT, Lee WJ, Leong A, Liao J, Liu C, Liu Y, Lindgren CM, Linneberg A, Malerba G, Mamakou V, Marouli E, Maruthur NM, Matchan A, McKean-Cowdin R, McLeod O, Metcalf GA, Mohlke KL, Muzny DM, Ntalla I, Palmer ND, Pasko D, Peter A, Rayner NW, Renström F, Rice K, Sala CF, Sennblad B, Serafetinidis I, Smith JA, Soranzo N, Speliotes EK, Stahl EA, Stirrups K, Tentolouris N, Thanopoulou A, Torres M, Traglia M, Tsafantakis E, Javad S, Yanek LR, Zengini E, Becker DM, Bis JC, Brown JB, Cupples LA, Hansen T, Ingelsson E, Karter AJ, Lorenzo C, Mathias RA, Norris JM, Peloso GM, Sheu WH, Toniolo D, Vaidya D, Varma R, Wagenknecht LE, Boeing H, Bottinger EP, Dedoussis G, Deloukas P, Ferrannini E, Franco OH, Franks PW, Gibbs RA, Gudnason V, Hamsten A, Harris TB, Hattersley AT, Hayward C, Hofman A, Jansson JH, Langenberg C, Launer LJ, Levy D, Oostra BA, O'Donnell CJ, O'Rahilly S, Padmanabhan S, Pankow JS, Polasek O, Province MA, Rich SS, Ridker PM, Rudan I, Schulze MB, Smith BH, Uitterlinden AG, Walker M, Watkins H, Wong TY, Zeggini E, Laakso M, Borecki IB, Chasman DI, Pedersen O, Psaty BM, Tai ES, van Duijn CM, Wareham NJ, Waterworth DM, Boerwinkle E, Kao WH, Florez JC, Loos RJ, Wilson JG, Frayling TM, Siscovick DS, Dupuis J, Rotter JI, Meigs JB, Scott RA, and Goodarzi MO
Subjects: Black People genetics, Diabetes Mellitus, Type 2 blood, Genetic Association Studies, Genetic Loci, Glucagon-Like Peptide-1 Receptor genetics, Glucose-6-Phosphatase genetics, Humans, Insulin blood, Polymorphism, Single Nucleotide genetics, White People genetics, Blood Glucose metabolism, Diabetes Mellitus, Type 2 genetics, Exome genetics, Fasting blood, Genetic Predisposition to Disease, Genetic Variation, Mutation Rate, Oligonucleotide Array Sequence Analysis
Abstract: Fasting glucose and insulin are intermediate traits for type 2 diabetes. Here we explore the role of coding variation on these traits by analysis of variants on the HumanExome BeadChip in 60,564 non-diabetic individuals and in 16,491 T2D cases and 81,877 controls. We identify a novel association of a low-frequency nonsynonymous SNV in GLP1R (A316T; rs10305492; MAF=1.4%) with lower FG (β=-0.09±0.01 mmol l(-1), P=3.4 × 10(-12)), T2D risk (OR[95%CI]=0.86[0.76-0.96], P=0.010), early insulin secretion (β=-0.07±0.035 pmolinsulin mmolglucose(-1), P=0.048), but higher 2-h glucose (β=0.16±0.05 mmol l(-1), P=4.3 × 10(-4)). We identify a gene-based association with FG at G6PC2 (pSKAT=6.8 × 10(-6)) driven by four rare protein-coding SNVs (H177Y, Y207S, R283X and S324P). We identify rs651007 (MAF=20%) in the first intron of ABO at the putative promoter of an antisense lncRNA, associating with higher FG (β=0.02±0.004 mmol l(-1), P=1.3 × 10(-8)). Our approach identifies novel coding variant associations and extends the allelic spectrum of variation underlying diabetes-related quantitative traits and T2D susceptibility.
Published: 2015
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17. New gene functions in megakaryopoiesis and platelet formation.

Author: Gieger C, Radhakrishnan A, Cvejic A, Tang W, Porcu E, Pistis G, Serbanovic-Canic J, Elling U, Goodall AH, Labrune Y, Lopez LM, Mägi R, Meacham S, Okada Y, Pirastu N, Sorice R, Teumer A, Voss K, Zhang W, Ramirez-Solis R, Bis JC, Ellinghaus D, Gögele M, Hottenga JJ, Langenberg C, Kovacs P, O'Reilly PF, Shin SY, Esko T, Hartiala J, Kanoni S, Murgia F, Parsa A, Stephens J, van der Harst P, Ellen van der Schoot C, Allayee H, Attwood A, Balkau B, Bastardot F, Basu S, Baumeister SE, Biino G, Bomba L, Bonnefond A, Cambien F, Chambers JC, Cucca F, D'Adamo P, Davies G, de Boer RA, de Geus EJ, Döring A, Elliott P, Erdmann J, Evans DM, Falchi M, Feng W, Folsom AR, Frazer IH, Gibson QD, Glazer NL, Hammond C, Hartikainen AL, Heckbert SR, Hengstenberg C, Hersch M, Illig T, Loos RJ, Jolley J, Khaw KT, Kühnel B, Kyrtsonis MC, Lagou V, Lloyd-Jones H, Lumley T, Mangino M, Maschio A, Mateo Leach I, McKnight B, Memari Y, Mitchell BD, Montgomery GW, Nakamura Y, Nauck M, Navis G, Nöthlings U, Nolte IM, Porteous DJ, Pouta A, Pramstaller PP, Pullat J, Ring SM, Rotter JI, Ruggiero D, Ruokonen A, Sala C, Samani NJ, Sambrook J, Schlessinger D, Schreiber S, Schunkert H, Scott J, Smith NL, Snieder H, Starr JM, Stumvoll M, Takahashi A, Tang WH, Taylor K, Tenesa A, Lay Thein S, Tönjes A, Uda M, Ulivi S, van Veldhuisen DJ, Visscher PM, Völker U, Wichmann HE, Wiggins KL, Willemsen G, Yang TP, Hua Zhao J, Zitting P, Bradley JR, Dedoussis GV, Gasparini P, Hazen SL, Metspalu A, Pirastu M, Shuldiner AR, Joost van Pelt L, Zwaginga JJ, Boomsma DI, Deary IJ, Franke A, Froguel P, Ganesh SK, Jarvelin MR, Martin NG, Meisinger C, Psaty BM, Spector TD, Wareham NJ, Akkerman JW, Ciullo M, Deloukas P, Greinacher A, Jupe S, Kamatani N, Khadake J, Kooner JS, Penninger J, Prokopenko I, Stemple D, Toniolo D, Wernisch L, Sanna S, Hicks AA, Rendon A, Ferreira MA, Ouwehand WH, and Soranzo N
Subjects: Animals, Blood Platelets metabolism, Cell Size, Drosophila Proteins genetics, Drosophila melanogaster genetics, Europe, Gene Expression Profiling, Gene Silencing, Genome, Human genetics, Genome-Wide Association Study, Humans, Megakaryocytes metabolism, Platelet Count, Protein Interaction Maps, Transcription, Genetic genetics, Zebrafish genetics, Zebrafish Proteins genetics, Blood Platelets cytology, Hematopoiesis genetics, Megakaryocytes cytology
Abstract: Platelets are the second most abundant cell type in blood and are essential for maintaining haemostasis. Their count and volume are tightly controlled within narrow physiological ranges, but there is only limited understanding of the molecular processes controlling both traits. Here we carried out a high-powered meta-analysis of genome-wide association studies (GWAS) in up to 66,867 individuals of European ancestry, followed by extensive biological and functional assessment. We identified 68 genomic loci reliably associated with platelet count and volume mapping to established and putative novel regulators of megakaryopoiesis and platelet formation. These genes show megakaryocyte-specific gene expression patterns and extensive network connectivity. Using gene silencing in Danio rerio and Drosophila melanogaster, we identified 11 of the genes as novel regulators of blood cell formation. Taken together, our findings advance understanding of novel gene functions controlling fate-determining events during megakaryopoiesis and platelet formation, providing a new example of successful translation of GWAS to function.
Published: 2011
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18. Biological, clinical and population relevance of 95 loci for blood lipids.

Author: Teslovich TM, Musunuru K, Smith AV, Edmondson AC, Stylianou IM, Koseki M, Pirruccello JP, Ripatti S, Chasman DI, Willer CJ, Johansen CT, Fouchier SW, Isaacs A, Peloso GM, Barbalic M, Ricketts SL, Bis JC, Aulchenko YS, Thorleifsson G, Feitosa MF, Chambers J, Orho-Melander M, Melander O, Johnson T, Li X, Guo X, Li M, Shin Cho Y, Jin Go M, Jin Kim Y, Lee JY, Park T, Kim K, Sim X, Twee-Hee Ong R, Croteau-Chonka DC, Lange LA, Smith JD, Song K, Hua Zhao J, Yuan X, Luan J, Lamina C, Ziegler A, Zhang W, Zee RY, Wright AF, Witteman JC, Wilson JF, Willemsen G, Wichmann HE, Whitfield JB, Waterworth DM, Wareham NJ, Waeber G, Vollenweider P, Voight BF, Vitart V, Uitterlinden AG, Uda M, Tuomilehto J, Thompson JR, Tanaka T, Surakka I, Stringham HM, Spector TD, Soranzo N, Smit JH, Sinisalo J, Silander K, Sijbrands EJ, Scuteri A, Scott J, Schlessinger D, Sanna S, Salomaa V, Saharinen J, Sabatti C, Ruokonen A, Rudan I, Rose LM, Roberts R, Rieder M, Psaty BM, Pramstaller PP, Pichler I, Perola M, Penninx BW, Pedersen NL, Pattaro C, Parker AN, Pare G, Oostra BA, O'Donnell CJ, Nieminen MS, Nickerson DA, Montgomery GW, Meitinger T, McPherson R, McCarthy MI, McArdle W, Masson D, Martin NG, Marroni F, Mangino M, Magnusson PK, Lucas G, Luben R, Loos RJ, Lokki ML, Lettre G, Langenberg C, Launer LJ, Lakatta EG, Laaksonen R, Kyvik KO, Kronenberg F, König IR, Khaw KT, Kaprio J, Kaplan LM, Johansson A, Jarvelin MR, Janssens AC, Ingelsson E, Igl W, Kees Hovingh G, Hottenga JJ, Hofman A, Hicks AA, Hengstenberg C, Heid IM, Hayward C, Havulinna AS, Hastie ND, Harris TB, Haritunians T, Hall AS, Gyllensten U, Guiducci C, Groop LC, Gonzalez E, Gieger C, Freimer NB, Ferrucci L, Erdmann J, Elliott P, Ejebe KG, Döring A, Dominiczak AF, Demissie S, Deloukas P, de Geus EJ, de Faire U, Crawford G, Collins FS, Chen YD, Caulfield MJ, Campbell H, Burtt NP, Bonnycastle LL, Boomsma DI, Boekholdt SM, Bergman RN, Barroso I, Bandinelli S, Ballantyne CM, Assimes TL, Quertermous T, Altshuler D, Seielstad M, Wong TY, Tai ES, Feranil AB, Kuzawa CW, Adair LS, Taylor HA Jr, Borecki IB, Gabriel SB, Wilson JG, Holm H, Thorsteinsdottir U, Gudnason V, Krauss RM, Mohlke KL, Ordovas JM, Munroe PB, Kooner JS, Tall AR, Hegele RA, Kastelein JJ, Schadt EE, Rotter JI, Boerwinkle E, Strachan DP, Mooser V, Stefansson K, Reilly MP, Samani NJ, Schunkert H, Cupples LA, Sandhu MS, Ridker PM, Rader DJ, van Duijn CM, Peltonen L, Abecasis GR, Boehnke M, and Kathiresan S
Subjects: Black or African American genetics, Animals, Asian People genetics, Cholesterol, HDL blood, Cholesterol, LDL blood, Coronary Artery Disease blood, Coronary Artery Disease genetics, Coronary Artery Disease therapy, Europe ethnology, Female, Genotype, Humans, Liver metabolism, Male, Mice, N-Acetylgalactosaminyltransferases genetics, N-Acetylgalactosaminyltransferases metabolism, Phenotype, Polymorphism, Single Nucleotide genetics, Protein Phosphatase 1 genetics, Protein Phosphatase 1 metabolism, Reproducibility of Results, Triglycerides blood, White People genetics, Polypeptide N-acetylgalactosaminyltransferase, Genetic Loci genetics, Genome-Wide Association Study, Lipid Metabolism genetics, Lipids blood
Abstract: Plasma concentrations of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol and triglycerides are among the most important risk factors for coronary artery disease (CAD) and are targets for therapeutic intervention. We screened the genome for common variants associated with plasma lipids in >100,000 individuals of European ancestry. Here we report 95 significantly associated loci (P < 5 x 10(-8)), with 59 showing genome-wide significant association with lipid traits for the first time. The newly reported associations include single nucleotide polymorphisms (SNPs) near known lipid regulators (for example, CYP7A1, NPC1L1 and SCARB1) as well as in scores of loci not previously implicated in lipoprotein metabolism. The 95 loci contribute not only to normal variation in lipid traits but also to extreme lipid phenotypes and have an impact on lipid traits in three non-European populations (East Asians, South Asians and African Americans). Our results identify several novel loci associated with plasma lipids that are also associated with CAD. Finally, we validated three of the novel genes-GALNT2, PPP1R3B and TTC39B-with experiments in mouse models. Taken together, our findings provide the foundation to develop a broader biological understanding of lipoprotein metabolism and to identify new therapeutic opportunities for the prevention of CAD.
Published: 2010
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18 results on '"Hua Zhao, J"'

1. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass

2. Genome-wide association study meta-analysis for quantitative ultrasound parameters of bone identifies five novel loci for broadband ultrasound attenuation

3. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

4. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

5. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

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

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

8. Hundreds of variants clustered in genomic loci and biological pathways affect human height.

9. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits

10. Erratum: Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

11. Large meta-analysis of genome-wide association studies identifies five loci for lean body mass.

12. Loss of Cardioprotective Effects at the ADAMTS7 Locus as a Result of Gene-Smoking Interactions.

13. Evidence for large-scale gene-by-smoking interaction effects on pulmonary function.

14. Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.

15. A principal component meta-analysis on multiple anthropometric traits identifies novel loci for body shape.

16. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility.

17. New gene functions in megakaryopoiesis and platelet formation.

18. Biological, clinical and population relevance of 95 loci for blood lipids.

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18 results on '"Hua Zhao, J"'

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