244 results on '"Savolainen MJ"'
Search Results
2. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI
- Author
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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
3. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI
- Author
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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
4. Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma
- Author
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Chambers JC, Zhang W, Sehmi J, Li X, Wass MN, Van der Harst P, Holm H, Sanna S, Kavousi M, Baumeister SE, Coin LJ, Deng G, Gieger C, Heard Costa NL, Hottenga JJ, Kühnel B, Kumar V, Lagou V, Liang L, Luan J, Vidal PM, Mateo Leach I, O'Reilly PF, Peden JF, Rahmioglu N, Soininen P, Speliotes EK, Yuan X, Thorleifsson G, Alizadeh BZ, Atwood LD, Borecki IB, Brown MJ, Charoen P, Cucca F, Das D, de Geus EJ, Dixon AL, Döring A, Ehret G, Eyjolfsson GI, Farrall M, Forouhi NG, Friedrich N, Goessling W, Gudbjartsson DF, Harris TB, Hartikainen AL, Heath S, Hirschfield GM, Hofman A, Homuth G, Hyppönen E, Janssen HL, Johnson T, Kangas AJ, Kema IP, Kühn JP, Lai S, Lathrop M, Lerch MM, Li Y, Liang TJ, Lin JP, Loos RJ, Martin NG, Moffatt MF, Montgomery GW, Munroe PB, Musunuru K, Nakamura Y, O'Donnell CJ, Olafsson I, Penninx BW, Pouta A, Prins BP, Prokopenko I, Puls R, Ruokonen A, Savolainen MJ, Schlessinger D, Schouten JN, Seedorf U, Sen Chowdhry S, Siminovitch KA, Smit JH, Spector TD, Tan W, Teslovich TM, Tukiainen T, Uitterlinden AG, Van der Klauw MM, Vasan RS, Wallace C, Wallaschofski H, Wichmann HE, Willemsen G, Würtz P, Xu C, Yerges Armstrong LM, Alcohol Genome wide Association Consortium, Diabetes Genetics Replication, Meta analyses Study, Genetic Investigation of Anthropometric Traits Consortium, Global Lipids Genetics Consortium, Genetics of Liver Disease Consortium, International Consortium for Blood Pressure, Meta analyses of Glucose, Insulin Related Traits Consortium, Abecasis GR, Ahmadi KR, Boomsma DI, Caulfield M, Cookson WO, van Duijn CM, Froguel P, Matsuda K, McCarthy MI, Meisinger C, Mooser V, Pietiläinen KH, Schumann G, Snieder H, Sternberg MJ, Stolk RP, Thomas HC, Thorsteinsdottir U, Uda M, Waeber G, Wareham NJ, Waterworth DM, Watkins H, Whitfield JB, Witteman JC, Wolffenbuttel BH, Fox CS, Ala Korpela M, Stefansson K, Vollenweider P, Völzke H, Schadt EE, Scott J, Järvelin MR, Elliott P, Kooner JS, PAOLISSO, Giuseppe, Chambers, Jc, Zhang, W, Sehmi, J, Li, X, Wass, Mn, Van der Harst, P, Holm, H, Sanna, S, Kavousi, M, Baumeister, Se, Coin, Lj, Deng, G, Gieger, C, Heard Costa, Nl, Hottenga, Jj, Kühnel, B, Kumar, V, Lagou, V, Liang, L, Luan, J, Vidal, Pm, Mateo Leach, I, O'Reilly, Pf, Peden, Jf, Rahmioglu, N, Soininen, P, Speliotes, Ek, Yuan, X, Thorleifsson, G, Alizadeh, Bz, Atwood, Ld, Borecki, Ib, Brown, Mj, Charoen, P, Cucca, F, Das, D, de Geus, Ej, Dixon, Al, Döring, A, Ehret, G, Eyjolfsson, Gi, Farrall, M, Forouhi, Ng, Friedrich, N, Goessling, W, Gudbjartsson, Df, Harris, Tb, Hartikainen, Al, Heath, S, Hirschfield, Gm, Hofman, A, Homuth, G, Hyppönen, E, Janssen, Hl, Johnson, T, Kangas, Aj, Kema, Ip, Kühn, Jp, Lai, S, Lathrop, M, Lerch, Mm, Li, Y, Liang, Tj, Lin, Jp, Loos, Rj, Martin, Ng, Moffatt, Mf, Montgomery, Gw, Munroe, Pb, Musunuru, K, Nakamura, Y, O'Donnell, Cj, Olafsson, I, Penninx, Bw, Pouta, A, Prins, Bp, Prokopenko, I, Puls, R, Ruokonen, A, Savolainen, Mj, Schlessinger, D, Schouten, Jn, Seedorf, U, Sen Chowdhry, S, Siminovitch, Ka, Smit, Jh, Spector, Td, Tan, W, Teslovich, Tm, Tukiainen, T, Uitterlinden, Ag, Van der Klauw, Mm, Vasan, R, Wallace, C, Wallaschofski, H, Wichmann, He, Willemsen, G, Würtz, P, Xu, C, Yerges Armstrong, Lm, Alcohol Genome wide Association, Consortium, Diabetes Genetics, Replication, Meta analyses, Study, Genetic Investigation of Anthropometric Traits, Consortium, Global Lipids Genetics, Consortium, Genetics of Liver Disease, Consortium, International Consortium for Blood, Pressure, Meta analyses of, Glucose, Insulin Related Traits, Consortium, Abecasis, Gr, Ahmadi, Kr, Boomsma, Di, Caulfield, M, Cookson, Wo, van Duijn, Cm, Froguel, P, Matsuda, K, Mccarthy, Mi, Meisinger, C, Mooser, V, Pietiläinen, Kh, Schumann, G, Snieder, H, Sternberg, Mj, Stolk, Rp, Thomas, Hc, Thorsteinsdottir, U, Uda, M, Waeber, G, Wareham, Nj, Waterworth, Dm, Watkins, H, Whitfield, Jb, Witteman, Jc, Wolffenbuttel, Bh, Fox, C, Ala Korpela, M, Stefansson, K, Vollenweider, P, Völzke, H, Schadt, Ee, Scott, J, Järvelin, Mr, Elliott, P, Kooner, J, and Paolisso, Giuseppe
- Published
- 2011
5. Genome-wide association identifies nine common variants associated with fasting proinsulin levels and provides new insights into the pathophysiology of type 2 diabetes
- Author
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Strawbridge, Rj, Dupuis, J, Prokopenko, I, Barker, A, Ahlqvist, E, Rybin, D, Petrie, Jr, Travers, Me, Bouatia Naji, N, Dimas, As, Nica, A, Wheeler, E, Chen, H, Voight, Bf, Taneera, J, Kanoni, S, Peden, Jf, Turrini, F, Gustafsson, S, Zabena, C, Almgren, P, Barker, Dj, Barnes, D, Dennison, Em, Eriksson, Jg, Eriksson, P, Eury, E, Folkersen, L, Fox, Cs, Frayling, Tm, Goel, A, Gu, Hf, Horikoshi, M, Isomaa, B, Jackson, Au, Jameson, Ka, Kajantie, E, Kerr Conte, J, Kuulasmaa, T, Kuusisto, J, Loos, Rj, Luan, J, Makrilakis, K, Manning, Ak, Martínez Larrad MT, Narisu, N, Nastase Mannila, M, Ohrvik, J, Osmond, C, Pascoe, L, Payne, F, Sayer, Aa, Sennblad, B, Silveira, A, Stancáková, A, Stirrups, K, Swift, Aj, Syvänen, Ac, Tuomi, T, van 't Hooft FM, Walker, M, Weedon, Mn, Xie, W, Zethelius, B, Diagram, Consortium, Giant, Consortium, Muther, Consortium, Cardiogram, Consortium, C4d, Consortium, Ongen, H, Mälarstig, A, Hopewell, Jc, Saleheen, D, Chambers, J, Parish, S, Danesh, J, Kooner, J, Ostenson, Cg, Lind, L, Cooper, Cc, Serrano Ríos, M, Ferrannini, E, Forsen, Tj, Clarke, R, Franzosi, Mg, Seedorf, U, Watkins, H, Froguel, P, Johnson, P, Deloukas, P, Collins, Fs, Laakso, M, Dermitzakis, Et, Boehnke, M, Mccarthy, Mi, Wareham, Nj, Groop, L, Pattou, F, Gloyn, Al, Dedoussis, Gv, Lyssenko, V, Meigs, Jb, Barroso, I, Watanabe, Rm, Ingelsson, E, Langenberg, C, Hamsten, A, Voight BF, Florez J. C., Scott, Lj, Steinthorsdottir, V, Morris, Ap, Dina, C, Welch, Rp, Zeggini, E, Huth, C, Aulchenko, Ys, Thorleifsson, G, Mcculloch, Lj, Ferreira, T, Grallert, H, Amin, N, Wu, G, Willer, Cj, Raychaudhuri, S, Mccarroll, Sa, Hofmann, Om, Qi, L, Segrè, Av, van Hoek, M, Navarro, P, Ardlie, K, Balkau, B, Benediktsson, R, Bennett, Aj, Blagieva, R, Boerwinkle, E, Bonnycastle, Ll, Bengtsson Boström, K, Bravenboer, B, Bumpstead, S, Burtt, P, Charpentier, G, Chines, Ps, Cornelis, M, Couper, Dj, Crawford, G, Doney, As, Elliott, Ks, Elliott, Al, Erdos, Mr, Franklin, Cs, Gieger, C, Grarup, N, Green, T, Griffin, S, Groves, Cj, Guiducci, C, Hadjadj, S, Hassanali, N, Herder, C, Johnson, Pr, Jørgensen, T, Kao, Wh, Klopp, N, Kong, A, Kraft, P, Lauritzen, T, Li, M, Lieverse, A, Lindgren, Cm, Marre, M, Meitinger, T, Midthjell, K, Morken, Ma, Nilsson, P, Owen, Kr, Perry, Jr, Petersen, K, Platou, C, Proença, C, Rathmann, W, William Rayner, N, Robertson, Nr, Rocheleau, G, Roden, M, Sampson, Mj, Saxena, R, Shields, Bm, Shrader, P, Sigurdsson, G, Sparsø, T, Strassburger, K, Stringham, Hm, Sun, Q, Thorand, B, Tichet, J, van Dam RM, van Haeften TW, van Herpt, T, van Vliet JV, Bragi Walters, G, Wijmenga, C, Witteman, J, Bergman, Rn, Cauchi, S, Gyllensten, U, Hansen, T, Hide, Wa, Hitman, Ga, Hofman, A, Hunter, Dj, Hveem, K, Mohlke, Kl, Morris, Ad, Palmer, Cn, Pramstaller, Pp, Rudan, I, Sijbrands, E, Stein, Ld, Tuomilehto, J, Uitterlinden, A, Abecasis, Gr, Boehm, Bo, Campbell, H, Daly, Mj, Hattersley, At, Hu, Fb, Pankow, Js, Pedersen, O, Wichmann, E, Florez, Jc, Sladek, R, Thorsteinsdottir, U, Wilson, Jf, Illig, T, Stefansson, K, Altshuler, D, Speliotes, Ek, Berndt, Si, Monda, Kl, Allen, Hl, Mägi, R, Randall, Jc, Vedantam, S, Winkler, Tw, Workalemahu, T, Heid, Im, Wood, Ar, Weyant, Rj, Estrada, K, Liang, L, Nemesh, J, Park, Jh, Kilpeläinen, To, Yang, J, Esko, T, Feitosa, Mf, Kutalik, Z, Mangino, M, Scherag, A, Smith, Av, Welch, R, Zhao, Jh, Aben, Kk, Absher, Dm, Dixon, Al, Fisher, E, Glazer, Nl, Goddard, Me, Heard Costa NL, Hoesel, V, Hottenga, Jj, Johansson, Å, Johnson, T, Ketkar, S, Lamina, C, Li, S, Moffatt, Mf, Myers, Rh, Peters, Mj, Preuss, M, Ripatti, S, Rivadeneira, F, Sandholt, C, Timpson, Nj, Tyrer, Jp, van Wingerden, S, White, Cc, Wiklund, F, Barlassina, C, Chasman, Di, Cooper, Mn, Jansson, Jo, Lawrence, Rw, Pellikka, N, Shi, J, Thiering, E, Alavere, H, Alibrandi, Mt, Arnold, Am, Aspelund, T, Atwood, Ld, Balmforth, Aj, Ben Shlomo, Y, Bergmann, S, Biebermann, H, Blakemore, Ai, Boes, T, Bornstein, Sr, Brown, Mj, Buchanan, Ta, Busonero, F, Cappuccio, Fp, Cavalcanti Proença, C, Ida Chen YD, Chen, Cm, Coin, L, Connell, J, Day, In, den Heijer, M, Duan, J, Ebrahim, S, Elliott, P, Elosua, R, Eiriksdottir, G, Facheris, Mf, Felix, Sb, Fischer Posovszky, P, Folsom, Ar, Friedrich, N, Freimer, Nb, Fu, M, Gaget, S, Gejman, Pv, Geus, Ej, Gjesing, Ap, Goyette, P, Grässler, J, Greenawalt, Dm, Gudnason, V, Hartikainen, Al, Hall, As, Havulinna, As, Hayward, C, Heath, Ac, Hengstenberg, C, Hicks, Aa, Hinney, A, Homuth, G, Hui, J, Igl, W, Iribarren, C, Jacobs, Kb, Jarick, I, Jewell, E, John, U, Jousilahti, P, Jula, A, Kaakinen, M, Kaplan, Lm, Kathiresan, S, Kettunen, J, Kinnunen, L, Knowles, Jw, Kolcic, I, König, Ir, Koskinen, S, Kovacs, P, Kvaløy, K, Laitinen, J, Lantieri, O, Lanzani, C, Launer, Lj, Lecoeur, C, Terho, L, Lettre, G, Liu, J, Lokki, Ml, Lorentzon, M, Luben, Rn, Ludwig, B, Magic, Manunta, P, Marek, D, Martin, Ng, Mcardle, Wl, Mccarthy, A, Mcknight, B, Melander, O, Meyre, D, Montgomery, Gw, Mulic, R, Ngwa, Js, Nelis, M, Neville, Mj, Nyholt, Dr, O'Donnell, Cj, O'Rahilly, S, Ong, Kk, Oostra, B, Paré, G, Parker, An, Perola, M, Pichler, I, Pietiläinen, Kh, Platou, Cg, Polasek, O, Pouta, A, Rafelt, S, Raitakari, O, Rayner, Nw, Ridderstråle, M, Rief, W, Ruokonen, A, Rzehak, P, Salomaa, V, Sanders, Ar, Sandhu, Ms, Sanna, S, Saramies, J, Savolainen, Mj, Scherag, S, Schipf, S, Schreiber, S, Schunkert, H, Silander, K, Sinisalo, J, Siscovick, Ds, Smit, Jh, Soranzo, N, Sovio, U, Stephens, J, Surakka, I, Tammesoo, Ml, Tardif, Jc, Teder Laving, M, Teslovich, Tm, Thompson, Jr, Thomson, B, Tönjes, A, van Meurs JB, van Ommen GJ, Vatin, V, Viikari, J, Visvikis Siest, S, Vitart, V, Vogel, Ci, Waite, Ll, Wallaschofski, H, Walters, Gb, Widen, E, Wiegand, S, Wild, Sh, Willemsen, G, Witte, Dr, Witteman, Jc, Xu, J, Zhang, Q, Zgaga, L, Ziegler, A, Zitting, P, Beilby, Jp, Farooqi, Is, Hebebrand, J, Huikuri, Hv, James, Al, Kähönen, M, Levinson, Df, Macciardi, F, Nieminen, Ms, Ohlsson, C, Palmer, Lj, Ridker, Pm, Stumvoll, M, Beckmann, Js, Boeing, H, Dorret, I. B., Caulfield, Mj, Chanock, Sj, Cupples, La, Smith, Gd, Erdmann, J, Grönberg, H, Hall, P, Harris, Tb, Hayes, Rb, Heinrich, J, Jarvelin, Mr, Kaprio, J, Karpe, F, Khaw, Kt, Kiemeney, La, Krude, H, Lawlor, Da, Metspalu, A, Munroe, Pb, Ouwehand, Wh, Penninx, Bw, Peters, A, Quertermous, T, Reinehr, T, Rissanen, A, Samani, Nj, Schwarz, Pe, Shuldiner, Ar, Spector, Td, Uda, M, Valle, Tt, Wabitsch, M, Waeber, G, Shaun, P, Eric, E. S., Peter, M. V., Assimes, Tl, Borecki, Ib, Groop, Lc, Haritunians, T, Kaplan, Rc, O'Connell, Jr, Peltonen, L, Schlessinger, D, Strachan, Dp, van Duijn CM, Barroso, H, North, Ke, Hirschhorn, Jn, Nica, Ac, Parts, L, Glass, D, Nisbet, J, Barrett, A, Sekowska, M, Travers, M, Potter, S, Grundberg, E, Small, K, Hedman, Åk, Bataille, V, Bell, Jt, Surdulescu, G, Ingle, C, Nestle, Fo, di Meglio, P, Min, Jl, Wilk, A, Hammond, Cj, Yang, Tp, Montgomery, Sb, Zondervan, Kt, Durbin, R, Ahmadi, K, Reilly, Mp, Holm, H, Stewart, Af, Barbalic, M, Absher, D, Aherrahrou, Z, Allayee, H, Anand, Ss, Andersen, K, Anderson, Jl, Ardissino, D, Ball, Sg, Barnes, Ta, Becker, Dm, Becker, Lc, Berger, K, Bis, Jc, Boekholdt, Sm, Braund, Ps, Burnett, Ms, Buysschaert, I, Cardiogenics, Carlquist, Jf, Chen, L, Cichon, S, Codd, V, Davies, Rw, Dedoussis, G, Dehghan, A, Demissie, S, Devaney, Jm, Diemert, P, Do, R, Doering, A, Eifert, S, El Mokhtari NE, Ellis, Sg, Engert, Jc, Epstein, Se, de Faire, U, Fischer, M, Freyer, J, Gigante, B, Girelli, Domenico, Gretarsdottir, S, Gulcher, Jr, Halperin, E, Hammond, N, Hazen, Sl, Horne, Bd, Jones, Gt, Jukema, Jw, Kaiser, Ma, Kastelein, Jj, Kolovou, G, Laaksonen, R, Lambrechts, D, Leander, K, Lieb, W, Loley, C, Lotery, Aj, Mannucci, Pm, Maouche, S, Martinelli, Nicola, Mckeown, Pp, Meisinger, C, Merlini, Pa, Mooser, V, Morgan, T, Mühleisen, Tw, Muhlestein, Jb, Münzel, T, Musunuru, K, Nahrstaedt, J, Nelson, Cp, Nöthen, Mm, Olivieri, Oliviero, Patel, Rs, Patterson, Cc, Peyvandi, F, Qu, L, Quyyumi, Aa, Rader, Dj, Rallidis, Ls, Rice, C, Rosendaal, Fr, Rubin, D, Sampietro, Ml, Schadt, E, Schäfer, A, Schillert, A, Schrezenmeir, J, Schwartz, Sm, Sivananthan, M, Sivapalaratnam, S, Smith, A, Smith, Tb, Snoep, Jd, Spertus, Ja, Stark, K, Stoll, M, Tang, Wh, Tennstedt, S, Thorgeirsson, G, Tomaszewski, M, Uitterlinden, Ag, van Rij AM, Wells, Ga, Wichmann, He, Wild, Ps, Willenborg, C, Wright, Bj, Ye, S, Zeller, T, Cambien, F, Goodall, Ah, März, W, Blankenberg, S, Roberts, R, Mcpherson, R, Nilesh, J. S., Medical Research Council (MRC), Nica, Alexandra, Ongen, Halit, Dermitzakis, Emmanouil, ACS - Amsterdam Cardiovascular Sciences, Cardiology, Vascular Medicine, Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, Scherag, Andre (Beitragende*r), Hinney, Anke (Beitragende*r), Scherag, S. (Beitragende*r), Vogel, C (Beitragende*r), Hebebrand, Johannes (Beitragende*r), University of Groningen, Wheeler, Eleanor [0000-0002-8616-6444], Barnes, Daniel [0000-0002-3781-7570], Luan, Jian'an [0000-0003-3137-6337], Johnson, Kathleen [0000-0002-6823-3252], Danesh, John [0000-0003-1158-6791], Wareham, Nicholas [0000-0003-1422-2993], Barroso, Ines [0000-0001-5800-4520], Langenberg, Claudia [0000-0002-5017-7344], and Apollo - University of Cambridge Repository
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Male ,Netherlands Twin Register (NTR) ,endocrine system diseases ,Endocrinology, Diabetes and Metabolism ,medicine.medical_treatment ,Medizin ,Genome-wide association study ,Type 2 diabetes ,CORONARY HEART-DISEASE ,Fasting/blood ,0302 clinical medicine ,Insulin ,Glucose homeostasis ,ddc:576.5 ,Genome-wide ,Diabetes Mellitus, Type 2/blood/genetics/metabolism ,CARDIoGRAM Consortium ,POPULATION ,Proinsulin ,RISK ,Genetics ,0303 health sciences ,INSULIN SENSITIVITY ,11 Medical And Health Sciences ,Fasting ,Polymorphism, Single Nucleotide/genetics ,OBESITY ,Female ,type 2 diabetes ,Life Sciences & Biomedicine ,hormones, hormone substitutes, and hormone antagonists ,Insulin processing ,Adult ,medicine.medical_specialty ,endocrine system ,ENDOCRINOLOGY & METABOLISM ,SUSCEPTIBILITY LOCI ,Genotype ,030209 endocrinology & metabolism ,DIAGRAM Consortium ,Biology ,C4D Consortium ,Polymorphism, Single Nucleotide ,Molecular epidemiology [NCEBP 1] ,03 medical and health sciences ,Insulin resistance ,BETA-CELL FUNCTION ,SDG 3 - Good Health and Well-being ,Internal medicine ,GIANT Consortium ,Internal Medicine ,medicine ,Humans ,METAANALYSIS ,030304 developmental biology ,Science & Technology ,Genome, Human ,Hormonal regulation [IGMD 6] ,Genetic Variation ,nutritional and metabolic diseases ,proinsulin ,medicine.disease ,Proinsulin/blood ,TCF7L2 ,Endocrinology ,Diabetes Mellitus, Type 2 ,MuTHER Consortium ,GLUCOSE-HOMEOSTASIS ,Insulin/blood - Abstract
OBJECTIVE Proinsulin is a precursor of mature insulin and C-peptide. Higher circulating proinsulin levels are associated with impaired β-cell function, raised glucose levels, insulin resistance, and type 2 diabetes (T2D). Studies of the insulin processing pathway could provide new insights about T2D pathophysiology. RESEARCH DESIGN AND METHODS We have conducted a meta-analysis of genome-wide association tests of ∼2.5 million genotyped or imputed single nucleotide polymorphisms (SNPs) and fasting proinsulin levels in 10,701 nondiabetic adults of European ancestry, with follow-up of 23 loci in up to 16,378 individuals, using additive genetic models adjusted for age, sex, fasting insulin, and study-specific covariates. RESULTS Nine SNPs at eight loci were associated with proinsulin levels (P < 5 × 10−8). Two loci (LARP6 and SGSM2) have not been previously related to metabolic traits, one (MADD) has been associated with fasting glucose, one (PCSK1) has been implicated in obesity, and four (TCF7L2, SLC30A8, VPS13C/C2CD4A/B, and ARAP1, formerly CENTD2) increase T2D risk. The proinsulin-raising allele of ARAP1 was associated with a lower fasting glucose (P = 1.7 × 10−4), improved β-cell function (P = 1.1 × 10−5), and lower risk of T2D (odds ratio 0.88; P = 7.8 × 10−6). Notably, PCSK1 encodes the protein prohormone convertase 1/3, the first enzyme in the insulin processing pathway. A genotype score composed of the nine proinsulin-raising alleles was not associated with coronary disease in two large case-control datasets. CONCLUSIONS We have identified nine genetic variants associated with fasting proinsulin. Our findings illuminate the biology underlying glucose homeostasis and T2D development in humans and argue against a direct role of proinsulin in coronary artery disease pathogenesis.
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- 2011
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6. Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma
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Chambers, JC, Zhang, W, Sehmi, J, Li, X, Wass, MN, Van der Harst, P, Holm, H, Sanna, S, Kavousi, M, Baumeister, SE, Coin, LJ, Deng, G, Gieger, C, Heard-Costa, NL, Hottenga, J-J, Kühnel, B, Kumar, V, Lagou, V, Liang, L, Luan, J, Vidal, PM, Leach, IM, O'Reilly, PF, Peden, JF, Rahmioglu, N, Soininen, P, Speliotes, EK, Yuan, X, Thorleifsson, G, Alizadeh, BZ, Atwood, LD, Borecki, IB, Brown, MJ, Charoen, P, Cucca, F, Das, D, de Geus, EJC, Dixon, AL, Döring, A, Ehret, G, Eyjolfsson, GI, Farrall, M, Forouhi, NG, Friedrich, N, Goessling, W, Gudbjartsson, DF, Harris, TB, Hartikainen, A-L, Heath, S, Hirschfield, GM, Hofman, A, Homuth, G, Hyppönen, E, Janssen, HLA, Johnson, T, Kangas, AJ, Kema, IP, Kühn, JP, Lai, S, Lathrop, M, Lerch, MM, Li, Y, Liang, TJ, Lin, J-P, Loos, RJF, Martin, NG, Moffatt, MF, Montgomery, GW, Munroe, PB, Musunuru, K, Nakamura, Y, O'Donnell, CJ, Olafsson, I, Penninx, BW, Pouta, A, Prins, BP, Prokopenko, I, Puls, R, Ruokonen, A, Savolainen, MJ, Schlessinger, D, Schouten, JNL, Seedorf, U, Sen-Chowdhry, S, Siminovitch, KA, Smit, JH, Spector, TD, Tan, W, Teslovich, TM, Tukiainen, T, Uitterlinden, AG, Van der Klauw, MM, Vasan, RS, Wallace, C, Wallaschofski, H, Wichmann, H-E, Willemsen, G, Würtz, P, Xu, C, Yerges-Armstrong, LM, Abecasis, GR, Ahmadi, KR, Boomsma, DI, Caulfield, M, Cookson, WO, van Duijn, CM, Froguel, P, Matsuda, K, McCarthy, MI, Meisinger, C, Mooser, V, Pietiläinen, KH, Schumann, G, Snieder, H, Sternberg, MJE, Stolk, RP, Thomas, HC, Thorsteinsdottir, U, Uda, M, Waeber, G, Wareham, NJ, Waterworth, DM, Watkins, H, Whitfield, JB, Witteman, JCM, Wolffenbuttel, BHR, Fox, CS, Ala-Korpela, M, Stefansson, K, Vollenweider, P, Völzke, H, Schadt, EE, Scott, J, Järvelin, M-R, Elliott, P, and Kooner, JS
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- 2011
7. Low Density Lipoprotein Derivatization by Acetaldehyde Affects Lysine Residues and the B/E Receptor Binding Affinity
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Tikkanen Mj, Savolainen Mj, Kari Kervinen, and Y. A. Kesaniemi
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Alcohol Drinking ,Apolipoprotein B ,Metabolite ,Lysine ,Medicine (miscellaneous) ,Acetaldehyde ,030204 cardiovascular system & hematology ,Toxicology ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,Humans ,Amino Acids ,Receptors, Immunologic ,skin and connective tissue diseases ,Receptor ,030304 developmental biology ,chemistry.chemical_classification ,0303 health sciences ,Dose-Response Relationship, Drug ,biology ,Cholesterol ,food and beverages ,eye diseases ,Amino acid ,Lipoproteins, LDL ,stomatognathic diseases ,Psychiatry and Mental health ,Receptors, LDL ,chemistry ,Biochemistry ,Low-density lipoprotein ,biology.protein ,lipids (amino acids, peptides, and proteins) ,Low Density Lipoprotein Receptor-Related Protein-1 - Abstract
Acetaldehyde (AcA), the first metabolite in ethanol oxidation, forms covalent adducts with the free amino groups of various proteins. In this study, we examined how acetaldehyde modification affects the chemical and biological properties of the atherogenic low density lipoprotein (LDL). AcA modification did not alter the protein and lipid composition of LDL, but the AcA concentration used in the incubation correlated strongly with the electrophoretic mobility of acetaldehyde-treated LDL (AcA-LDL) (r = 0.97, p less than 0.001) and the percentage of the free amino groups in AcA-LDL (r = -0.90, p less than 0.01). Amino acid analysis of AcA-LDL showed that lysine was the predominant residue in LDL modified by AcA. Assays with monoclonal antibodies (MB47, 2b, 4G3, and C1.1) directed against different epitopes of the LDL apoprotein B suggested that AcA modification reduced the immunological recognition of the LDL receptor binding region and its vicinity. Also, the binding affinity of AcA-LDL to B/E receptors correlated negatively with the percentage of modified lysine residues in AcA-LDL (r = -0.96, p less than 0.001). The results suggest that AcA derivatizes the lysine residues of LDL, and thus decreases the B/E receptor binding affinity of LDL. However, major changes in LDL receptor binding were produced only with non-physiologically high concentrations of AcA, and, therefore, the role of the present findings in vivo remains uncertain.
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- 1991
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8. Association of TERC and OBFC1 Haplotypes with Mean Leukocyte Telomere Length and Risk for Coronary Heart Disease
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Maubaret, CG, Salpea, KD, Romanoski, CE, Folkersen, L, Cooper, JA, Stephanou, C, Li, KW, Palmen, J, Hamsten, A, Neil, A, Stephens, JW, Lusis, AJ, Eriksson, P, Talmud, PJ, Humphries, SE, Juhan Vague, I, Margaglione, M, Yudkin, J, Tremoli, E, St J. O'Reilly, D, Cambien, F, De Backer, G, Rosseneu, M, Shepherd, J, Tiret, L, Menzel, HJ, De Henauw, S, Faergeman, O, Gerdes, C, Saava, M, Aasvee, K, Ehnholm, C, Elovainio, R, Peräsalo, J, Kesäniemi, YA, Savolainen, MJ, Palomaa, P, Nicaud, V, Poirier, O, Visvikis, S, Fruchart, JC, Dallongeville, J, Beisiegel, U, Dingler, C, Tsitouris, G, Papageorgakis, N, Kolovou, G, Farinaro, E, Havekes, LM, Halpern, MJ, Canena, J, Masana, L, Ribalta, J, Jammoul, A, LaVille, A, Gutzwiller, F, Martin, B, Murphy, M, Gudnason, V, Fisher, RM, Stansbie, D, Day, AP, Edgar, M, Kee, F, Evans, A, Hurel, SJ, Broome, S, Seed, M, Betteridge, DJ, Cooper, J, Humphrie, SE, Durrington, PN, Thompson, GR, Neil, HA, DI MINNO, GIOVANNI, BHF Laboratories, Rayne building, University College of London [London] (UCL), Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Université Bordeaux Segalen - Bordeaux 2, Biomedical Sciences Research Center, Al. Fleming, Department of Human Genetics, UCLA, University of California [Los Angeles] (UCLA), University of California-University of California-Semel Institute, Karolinska Institutet [Stockholm], Division Public Health and Primary Health Care [Oxford], University of Oxford [Oxford], School of Medicine, Swansea University, Maubaret, Cg, Salpea, Kd, Romanoski, Ce, Folkersen, L, Cooper, Ja, Stephanou, C, Li, Kw, Palmen, J, Hamsten, A, Neil, A, Stephens, Jw, Lusis, Aj, Eriksson, P, Talmud, Pj, Humphries, Se, Juhan Vague, I, Margaglione, M, DI MINNO, Giovanni, Yudkin, J, Tremoli, E, St J. O'Reilly, D, Cambien, F, De Backer, G, Rosseneu, M, Shepherd, J, Tiret, L, Menzel, Hj, De Henauw, S, Faergeman, O, Gerdes, C, Saava, M, Aasvee, K, Ehnholm, C, Elovainio, R, Peräsalo, J, Kesäniemi, Ya, Savolainen, Mj, Palomaa, P, Nicaud, V, Poirier, O, Visvikis, S, Fruchart, Jc, Dallongeville, J, Beisiegel, U, Dingler, C, Tsitouris, G, Papageorgakis, N, Kolovou, G, Farinaro, E, Havekes, Lm, Halpern, Mj, Canena, J, Masana, L, Ribalta, J, Jammoul, A, Laville, A, Gutzwiller, F, Martin, B, Murphy, M, Gudnason, V, Fisher, Rm, Stansbie, D, Day, Ap, Edgar, M, Kee, F, Evans, A, Hurel, Sj, Broome, S, Seed, M, Betteridge, Dj, Cooper, J, Humphrie, Se, Durrington, Pn, Thompson, Gr, and Neil, Ha
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Male ,Telomere-Binding Proteins ,lcsh:Medicine ,Coronary Disease ,Genome-wide association study ,Single-nucleotide polymorphism ,Locus (genetics) ,Biology ,Lower risk ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Leukocytes ,Humans ,SNP ,Allele ,lcsh:Science ,Telomerase ,Aged ,030304 developmental biology ,Genetics ,0303 health sciences ,Multidisciplinary ,lcsh:R ,Haplotype ,Telomere Homeostasis ,Middle Aged ,Telomere ,3. Good health ,Minor allele frequency ,Diabetes Mellitus, Type 2 ,Haplotypes ,[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics ,030220 oncology & carcinogenesis ,RNA ,lcsh:Q ,Female ,Research Article - Abstract
International audience; Objective: To replicate the associations of leukocyte telomere length (LTL) with variants at four loci and to investigate their associations with coronary heart disease (CHD) and type II diabetes (T2D), in order to examine possible causal effects of telomere maintenance machinery on disease aetiology. Methods: Four SNPs at three loci BICD1 (rs2630578 GγC), 18q12.2 (rs2162440 GγT), and OBFC1 (rs10786775 CγG, rs11591710 AγC) were genotyped in four studies comprised of 2353 subjects out of which 1148 had CHD and 566 T2D. Three SNPs (rs12696304 CγG, rs10936601G>T and rs16847897 GγC) at the TERC locus were genotyped in these four studies, in addition to an offspring study of 765 healthy students. For all samples, LTL had been measured using a real-time PCR-based method. Results: Only one SNP was associated with a significant effect on LTL, with the minor allele G of OBFC1 rs10786775 SNP being associated with longer LTL (β=0.029, P=0.04). No SNPs were significantly associated with CHD or T2D. For OBFC1 the haplotype carrying both rare alleles (rs10786775G and rs11591710C, haplotype frequency 0.089) was associated with lower CHD prevalence (OR: 0.77; 95% CI: 0.61–0.97; P= 0.03). The TERC haplotype GTC (rs12696304G, rs10936601T and rs16847897C, haplotype frequency 0.210) was associated with lower risk for both CHD (OR: 0.86; 95% CI: 0.75-0.99; P=0.04) and T2D (OR: 0.74; 95% CI: 0.61–0.91; P= 0.004), with no effect on LTL. Only the last association remained after adjusting for multiple testing. Conclusion: Of reported associations, only that between the OBFC1 rs10786775 SNP and LTL was confirmed, although our study has a limited power to detect modest effects. A 2-SNP OBFC1 haplotype was associated with higher risk of CHD, and a 3-SNP TERC haplotype was associated with both higher risk of CHD and T2D. Further work is required to confirm these results and explore the mechanisms of these effects.
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- 2013
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9. The cholesterol ester transfer protein (CETP) TaqIB variant, HDL cholesterol levels, cardiovascular risk and the efficacy of pravastatin treatment – an individual patient meta-analisis of 13,677 subjects
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Boekholdt, Sm, Sacks, Fm, Jukema, Jw, Freeman, Dj, Mcmahon, Ad, Cambien, F, Nicaud, V, DE GROOTH GJ, Talmud, Pj, Humphries, Se, Eiriksdottir, G, Gudnason, V, Kauma, H, Kakko, S, Savolainen, Mj, Arca, Marcello, Montali, Anna, Liu, S, Lanz, Hj, Zwinderman, Ah, Kuivenhoven, Ja, and Kastelein, Jjp
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- 2005
10. The role of adiposity in cardiometabolic traits: a mendelian randomization analysis
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Fall, T, Hägg, S, Mägi, R, Ploner, A, Fischer, K, Horikoshi, M, Sarin, A, Thorleifsson, G, Ladenvall, C, Kals, M, Kuningas, M, Draisma, H, Ried, J, Van, Z, Nr, Huikari, V, Mangino, M, Sonestedt, E, Benyamin, B, Nelson, C, Rivera, N, Kristiansson, K, Shen, H, Havulinna, A, Dehghan, A, Donnelly, L, Kaakinen, M, Nuotio, M, Robertson, N, de Bruijn, R, Ikram, M, Amin, N, Balmforth, A, Braund, P, Doney, A, Döring, A, Elliott, P, Esko, T, Franco, O, Gretarsdottir, S, Hartikainen, A, Heikkilä, K, Herzig, K, Holm, H, Hottenga, J, Hyppönen, E, Illig, T, Isaacs, A, Isomaa, B, Karssen, L, Kettunen, J, Koenig, W, Kuulasmaa, K, Laatikainen, T, Laitinen, J, Lindgren, C, Lyssenko, V, Läärä, E, Rayner, N, Männistö, S, Pouta, A, Rathmann, W, Rivadeneira, F, Ruokonen, A, Savolainen, M, Sijbrands, E, Small, K, Smit, J, Steinthorsdottir, V, Syvänen, A, Taanila, A, Tobin, M, Uitterlinden, A, Willems, S, Willemsen, G, Witteman, J, Perola, M, Evans, A, Ferrières, J, Virtamo, J, Kee, F, Tregouet, D, Arveiler, D, Amouyel, P, Ferrario, M, Brambilla, P, Hall, A, Heath, A, Madden, P, Martin, N, Montgomery, G, Whitfield, J, Jula, A, Knekt, P, Oostra, B, van Duijn, C, Penninx, B, Davey Smith, G, Kaprio, J, Samani, N, Gieger, C, Peters, A, Wichmann, H, Boomsma, D, de Geus, E, Tuomi, T, Power, C, Hammond, C, Spector, T, Lind, L, Orho Melander, M, Palmer, C, Morris, A, Groop, L, Järvelin, M, Salomaa, V, Vartiainen, E, Hofman, A, Ripatti, S, Metspalu, A, Thorsteinsdottir, U, Stefansson, K, Pedersen, N, Mccarthy, M, Ingelsson, E, Prokopenko, I, Sarin, AP, Draisma, HH, Ried, JS, van, Zuydam, NR, Nelson, CP, Rivera, NV, Shen, HY, Havulinna, AS, Donnelly, LA, Nuotio, ML, de Bruijn, RF, Ikram, MA, Balmforth, AJ, Braund, PS, Doney, AS, Franco, OH, Hartikainen, AL, Herzig, KH, Hottenga, JJ, Karssen, LC, Rayner, NW, Savolainen, MJ, Sijbrands, EJ, Small, KS, Smit, JH, Syvänen, AC, Tobin, MD, Uitterlinden, AG, Willems, SM, Tregouet, DA, Ferrario, MM, BRAMBILLA, PAOLO, Hall, AS, Heath, AC, Madden, PA, Martin, NG, Montgomery, GW, Whitfield, JB, van Duijn, CM, Penninx, BW, Samani, NJ, Wichmann, HE, Boomsma, DI, de Geus, EJ, Hammond, CJ, Spector, TD, Palmer, CN, Morris, AD, Järvelin, MR, Pedersen, NL, McCarthy, MI, Prokopenko, I., Fall, T, Hägg, S, Mägi, R, Ploner, A, Fischer, K, Horikoshi, M, Sarin, A, Thorleifsson, G, Ladenvall, C, Kals, M, Kuningas, M, Draisma, H, Ried, J, Van, Z, Nr, Huikari, V, Mangino, M, Sonestedt, E, Benyamin, B, Nelson, C, Rivera, N, Kristiansson, K, Shen, H, Havulinna, A, Dehghan, A, Donnelly, L, Kaakinen, M, Nuotio, M, Robertson, N, de Bruijn, R, Ikram, M, Amin, N, Balmforth, A, Braund, P, Doney, A, Döring, A, Elliott, P, Esko, T, Franco, O, Gretarsdottir, S, Hartikainen, A, Heikkilä, K, Herzig, K, Holm, H, Hottenga, J, Hyppönen, E, Illig, T, Isaacs, A, Isomaa, B, Karssen, L, Kettunen, J, Koenig, W, Kuulasmaa, K, Laatikainen, T, Laitinen, J, Lindgren, C, Lyssenko, V, Läärä, E, Rayner, N, Männistö, S, Pouta, A, Rathmann, W, Rivadeneira, F, Ruokonen, A, Savolainen, M, Sijbrands, E, Small, K, Smit, J, Steinthorsdottir, V, Syvänen, A, Taanila, A, Tobin, M, Uitterlinden, A, Willems, S, Willemsen, G, Witteman, J, Perola, M, Evans, A, Ferrières, J, Virtamo, J, Kee, F, Tregouet, D, Arveiler, D, Amouyel, P, Ferrario, M, Brambilla, P, Hall, A, Heath, A, Madden, P, Martin, N, Montgomery, G, Whitfield, J, Jula, A, Knekt, P, Oostra, B, van Duijn, C, Penninx, B, Davey Smith, G, Kaprio, J, Samani, N, Gieger, C, Peters, A, Wichmann, H, Boomsma, D, de Geus, E, Tuomi, T, Power, C, Hammond, C, Spector, T, Lind, L, Orho Melander, M, Palmer, C, Morris, A, Groop, L, Järvelin, M, Salomaa, V, Vartiainen, E, Hofman, A, Ripatti, S, Metspalu, A, Thorsteinsdottir, U, Stefansson, K, Pedersen, N, Mccarthy, M, Ingelsson, E, Prokopenko, I, Sarin, AP, Draisma, HH, Ried, JS, van, Zuydam, NR, Nelson, CP, Rivera, NV, Shen, HY, Havulinna, AS, Donnelly, LA, Nuotio, ML, de Bruijn, RF, Ikram, MA, Balmforth, AJ, Braund, PS, Doney, AS, Franco, OH, Hartikainen, AL, Herzig, KH, Hottenga, JJ, Karssen, LC, Rayner, NW, Savolainen, MJ, Sijbrands, EJ, Small, KS, Smit, JH, Syvänen, AC, Tobin, MD, Uitterlinden, AG, Willems, SM, Tregouet, DA, Ferrario, MM, BRAMBILLA, PAOLO, Hall, AS, Heath, AC, Madden, PA, Martin, NG, Montgomery, GW, Whitfield, JB, van Duijn, CM, Penninx, BW, Samani, NJ, Wichmann, HE, Boomsma, DI, de Geus, EJ, Hammond, CJ, Spector, TD, Palmer, CN, Morris, AD, Järvelin, MR, Pedersen, NL, McCarthy, MI, and Prokopenko, I.
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Background:The association between adiposity and cardiometabolic traits is well known from epidemiological studies. Whilst the causal relationship is clear for some of these traits, for others it is not. We aimed to determine whether adiposity is causally related to various cardiometabolic traits using the Mendelian randomization approach.Methods and Findings:We used the adiposity-associated variant rs9939609 at the FTO locus as an instrumental variable (IV) for body mass index (BMI) in a Mendelian randomization design. Thirty-six population-based studies of individuals of European descent contributed to the analyses.Age- and sex-adjusted regression models were fitted to test for association between (i) rs9939609 and BMI (n = 198,502), (ii) rs9939609 and 24 traits, and (iii) BMI and 24 traits. The causal effect of BMI on the outcome measures was quantified by IV estimators. The estimators were compared to the BMI-trait associations derived from the same individuals. In the IV analysis, we demonstrated novel evidence for a causal relationship between adiposity and incident heart failure (hazard ratio, 1.19 per BMI-unit increase; 95% CI, 1.03-1.39) and replicated earlier reports of a causal association with type 2 diabetes, metabolic syndrome, dyslipidemia, and hypertension (odds ratio for IV estimator, 1.1-1.4; all p<0.05). For quantitative traits, our results provide novel evidence for a causal effect of adiposity on the liver enzymes alanine aminotransferase and gamma-glutamyl transferase and confirm previous reports of a causal effect of adiposity on systolic and diastolic blood pressure, fasting insulin, 2-h post-load glucose from the oral glucose tolerance test, C-reactive protein, triglycerides, and high-density lipoprotein cholesterol levels (all p<0.05). The estimated causal effects were in agreement with traditional observational measures in all instances except for type 2 diabetes, where the causal estimate was larger than the observational estimate (
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- 2013
11. Genome-wide association study identifies multiple loci influencing human serum metabolite levels
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Kettunen, J, Tukiainen, T, Sarin, A-P, Ortega-Alonso, A, Tikkanen, E, Lyytikainen, L-P, Kangas, AJ, Soininen, P, Wuertz, P, Silander, K, Dick, DM, Rose, RJ, Savolainen, MJ, Viikari, J, Kahonen, M, Lehtimaki, T, Pietilainen, KH, Inouye, M, McCarthy, MI, Jula, A, Eriksson, J, Raitakari, OT, Salomaa, V, Kaprio, J, Jarvelin, M-R, Peltonen, L, Perola, M, Freimer, NB, Ala-Korpela, M, Palotie, A, Ripatti, S, Kettunen, J, Tukiainen, T, Sarin, A-P, Ortega-Alonso, A, Tikkanen, E, Lyytikainen, L-P, Kangas, AJ, Soininen, P, Wuertz, P, Silander, K, Dick, DM, Rose, RJ, Savolainen, MJ, Viikari, J, Kahonen, M, Lehtimaki, T, Pietilainen, KH, Inouye, M, McCarthy, MI, Jula, A, Eriksson, J, Raitakari, OT, Salomaa, V, Kaprio, J, Jarvelin, M-R, Peltonen, L, Perola, M, Freimer, NB, Ala-Korpela, M, Palotie, A, and Ripatti, S
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Nuclear magnetic resonance assays allow for measurement of a wide range of metabolic phenotypes. We report here the results of a GWAS on 8,330 Finnish individuals genotyped and imputed at 7.7 million SNPs for a range of 216 serum metabolic phenotypes assessed by NMR of serum samples. We identified significant associations (P < 2.31 × 10(-10)) at 31 loci, including 11 for which there have not been previous reports of associations to a metabolic trait or disorder. Analyses of Finnish twin pairs suggested that the metabolic measures reported here show higher heritability than comparable conventional metabolic phenotypes. In accordance with our expectations, SNPs at the 31 loci associated with individual metabolites account for a greater proportion of the genetic component of trait variance (up to 40%) than is typically observed for conventional serum metabolic phenotypes. The identification of such associations may provide substantial insight into cardiometabolic disorders.
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- 2012
12. Novel Loci for Metabolic Networks and Multi-Tissue Expression Studies Reveal Genes for Atherosclerosis
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Visscher, PM, Inouye, M, Ripatti, S, Kettunen, J, Lyytikainen, L-P, Oksala, N, Laurila, P-P, Kangas, AJ, Soininen, P, Savolainen, MJ, Viikari, J, Kahonen, M, Perola, M, Salomaa, V, Raitakari, O, Lehtimaki, T, Taskinen, M-R, Jaervelin, M-R, Ala-Korpela, M, Palotie, A, de Bakker, PIW, Visscher, PM, Inouye, M, Ripatti, S, Kettunen, J, Lyytikainen, L-P, Oksala, N, Laurila, P-P, Kangas, AJ, Soininen, P, Savolainen, MJ, Viikari, J, Kahonen, M, Perola, M, Salomaa, V, Raitakari, O, Lehtimaki, T, Taskinen, M-R, Jaervelin, M-R, Ala-Korpela, M, Palotie, A, and de Bakker, PIW
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Association testing of multiple correlated phenotypes offers better power than univariate analysis of single traits. We analyzed 6,600 individuals from two population-based cohorts with both genome-wide SNP data and serum metabolomic profiles. From the observed correlation structure of 130 metabolites measured by nuclear magnetic resonance, we identified 11 metabolic networks and performed a multivariate genome-wide association analysis. We identified 34 genomic loci at genome-wide significance, of which 7 are novel. In comparison to univariate tests, multivariate association analysis identified nearly twice as many significant associations in total. Multi-tissue gene expression studies identified variants in our top loci, SERPINA1 and AQP9, as eQTLs and showed that SERPINA1 and AQP9 expression in human blood was associated with metabolites from their corresponding metabolic networks. Finally, liver expression of AQP9 was associated with atherosclerotic lesion area in mice, and in human arterial tissue both SERPINA1 and AQP9 were shown to be upregulated (6.3-fold and 4.6-fold, respectively) in atherosclerotic plaques. Our study illustrates the power of multi-phenotype GWAS and highlights candidate genes for atherosclerosis.
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- 2012
13. Metabonomic, transcriptomic, and genomic variation of a population cohort
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Inouye, M, Kettunen, J, Soininen, P, Silander, K, Ripatti, S, Kumpula, LS, Haemaelaeinen, E, Jousilahti, P, Kangas, AJ, Mannisto, S, Savolainen, MJ, Jula, A, Leiviska, J, Palotie, A, Salomaa, V, Perola, M, Ala-Korpela, M, Peltonen, L, Inouye, M, Kettunen, J, Soininen, P, Silander, K, Ripatti, S, Kumpula, LS, Haemaelaeinen, E, Jousilahti, P, Kangas, AJ, Mannisto, S, Savolainen, MJ, Jula, A, Leiviska, J, Palotie, A, Salomaa, V, Perola, M, Ala-Korpela, M, and Peltonen, L
- Abstract
Comprehensive characterization of human tissues promises novel insights into the biological architecture of human diseases and traits. We assessed metabonomic, transcriptomic, and genomic variation for a large population-based cohort from the capital region of Finland. Network analyses identified a set of highly correlated genes, the lipid-leukocyte (LL) module, as having a prominent role in over 80 serum metabolites (of 134 measures quantified), including lipoprotein subclasses, lipids, and amino acids. Concurrent association with immune response markers suggested the LL module as a possible link between inflammation, metabolism, and adiposity. Further, genomic variation was used to generate a directed network and infer LL module's largely reactive nature to metabolites. Finally, gene co-expression in circulating leukocytes was shown to be dependent on serum metabolite concentrations, providing evidence for the hypothesis that the coherence of molecular networks themselves is conditional on environmental factors. These findings show the importance and opportunity of systematic molecular investigation of human population samples. To facilitate and encourage this investigation, the metabonomic, transcriptomic, and genomic data used in this study have been made available as a resource for the research community.
- Published
- 2010
14. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
- Author
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Speliotes, EK, Willer, CJ, Berndt, SI, Monda, KL, Thorleifsson, G, Jackson, AU, Allen, HL, Lindgren, CM, Luan, J, Maegi, R, Randall, JC, Vedantam, S, Winkler, TW, Qi, L, Workalemahu, T, Heid, IM, Steinthorsdottir, V, Stringham, HM, Weedon, MN, Wheeler, E, Wood, AR, Ferreira, T, Weyant, RJ, Segre, AV, Estrada, K, Liang, L, Nemesh, J, Park, J-H, Gustafsson, S, Kilpelaenen, TO, Yang, J, Bouatia-Naji, N, Esko, T, Feitosa, MF, Kutalik, Z, Mangino, M, Raychaudhuri, S, Scherag, A, Smith, AV, Welch, R, Zhao, JH, Aben, KK, Absher, DM, Amin, N, Dixon, AL, Fisher, E, Glazer, NL, Goddard, ME, Heard-Costa, NL, Hoesel, V, Hottenga, J-J, Johansson, A, Johnson, T, Ketkar, S, Lamina, C, Li, S, Moffatt, MF, Myers, RH, Narisu, N, Perry, JRB, Peters, MJ, Preuss, M, Ripatti, S, Rivadeneira, F, Sandholt, C, Scott, LJ, Timpson, NJ, Tyrer, JP, van Wingerden, S, Watanabe, RM, White, CC, Wiklund, F, Barlassina, C, Chasman, DI, Cooper, MN, Jansson, J-O, Lawrence, RW, Pellikka, N, Prokopenko, I, Shi, J, Thiering, E, Alavere, H, Alibrandi, MTS, Almgren, P, Arnold, AM, Aspelund, T, Atwood, LD, Balkau, B, Balmforth, AJ, Bennett, AJ, Ben-Shlomo, Y, Bergman, RN, Bergmann, S, Biebermann, H, Blakemore, AIF, Boes, T, Bonnycastle, LL, Bornstein, SR, Brown, MJ, Buchanan, TA, Busonero, F, Campbell, H, Cappuccio, FP, Cavalcanti-Proenca, C, Chen, Y-DI, Chen, C-M, Chines, PS, Clarke, R, Coin, L, Connell, J, Day, INM, den Heijer, M, Duan, J, Ebrahim, S, Elliott, P, Elosua, R, Eiriksdottir, G, Erdos, MR, Eriksson, JG, Facheris, MF, Felix, SB, Fischer-Posovszky, P, Folsom, AR, Friedrich, N, Freimer, NB, Fu, M, Gaget, S, Gejman, PV, Geus, EJC, Gieger, C, Gjesing, AP, Goel, A, Goyette, P, Grallert, H, Graessler, J, Greenawalt, DM, Groves, CJ, Gudnason, V, Guiducci, C, Hartikainen, A-L, Hassanali, N, Hall, AS, Havulinna, AS, Hayward, C, Heath, AC, Hengstenberg, C, Hicks, AA, Hinney, A, Hofman, A, Homuth, G, Hui, J, Igl, W, Iribarren, C, Isomaa, B, Jacobs, KB, Jarick, I, Jewell, E, John, U, Jorgensen, T, Jousilahti, P, Jula, A, Kaakinen, M, Kajantie, E, Kaplan, LM, Kathiresan, S, Kettunen, J, Kinnunen, L, Knowles, JW, Kolcic, I, Koenig, IR, Koskinen, S, Kovacs, P, Kuusisto, J, Kraft, P, Kvaloy, K, Laitinen, J, Lantieri, O, Lanzani, C, Launer, LJ, Lecoeur, C, Lehtimaeki, T, Lettre, G, Liu, J, Lokki, M-L, Lorentzon, M, Luben, RN, Ludwig, B, Manunta, P, Marek, D, Marre, M, Martin, NG, McArdle, WL, McCarthy, A, McKnight, B, Meitinger, T, Melander, O, Meyre, D, Midthjell, K, Montgomery, GW, Morken, MA, Morris, AP, Mulic, R, Ngwa, JS, Nelis, M, Neville, MJ, Nyholt, DR, O'Donnell, CJ, O'Rahilly, S, Ong, KK, Oostra, B, Pare, G, Parker, AN, Perola, M, Pichler, I, Pietilaeinen, KH, Platou, CGP, Polasek, O, Pouta, A, Rafelt, S, Raitakari, O, Rayner, NW, Ridderstrale, M, Rief, W, Ruokonen, A, Robertson, NR, Rzehak, P, Salomaa, V, Sanders, AR, Sandhu, MS, Sanna, S, Saramies, J, Savolainen, MJ, Scherag, S, Schipf, S, Schreiber, S, Schunkert, H, Silander, K, Sinisalo, J, Siscovick, DS, Smit, JH, Soranzo, N, Sovio, U, Stephens, J, Surakka, I, Swift, AJ, Tammesoo, M-L, Tardif, J-C, Teder-Laving, M, Teslovich, TM, Thompson, JR, Thomson, B, Toenjes, A, Tuomi, T, van Meurs, JBJ, van Ommen, G-J, Vatin, V, Viikari, J, Visvikis-Siest, S, Vitart, V, Vogel, CIG, Voight, BF, Waite, LL, Wallaschofski, H, Walters, GB, Widen, E, Wiegand, S, Wild, SH, Willemsen, G, Witte, DR, Witteman, JC, Xu, J, Zhang, Q, Zgaga, L, Ziegler, A, Zitting, P, Beilby, JP, Farooqi, IS, Hebebrand, J, Huikuri, HV, James, AL, Kaehoenen, M, Levinson, DF, Macciardi, F, Nieminen, MS, Ohlsson, C, Palmer, LJ, Ridker, PM, Stumvoll, M, Beckmann, JS, Boeing, H, Boerwinkle, E, Boomsma, DI, Caulfield, MJ, Chanock, SJ, Collins, FS, Cupples, LA, Smith, GD, Erdmann, J, Froguel, P, Greonberg, H, Gyllensten, U, Hall, P, Hansen, T, Harris, TB, Hattersley, AT, Hayes, RB, Heinrich, J, Hu, FB, Hveem, K, Illig, T, Jarvelin, M-R, Kaprio, J, Karpe, F, Khaw, K-T, Kiemeney, LA, Krude, H, Laakso, M, Lawlor, DA, Metspalu, A, Munroe, PB, Ouwehand, WH, Pedersen, O, Penninx, BW, Peters, A, Pramstaller, PP, Quertermous, T, Reinehr, T, Rissanen, A, Rudan, I, Samani, NJ, Schwarz, PEH, Shuldiner, AR, Spector, TD, Tuomilehto, J, Uda, M, Uitterlinden, A, Valle, TT, Wabitsch, M, Waeber, G, Wareham, NJ, Watkins, H, Wilson, JF, Wright, AF, Zillikens, MC, Chatterjee, N, McCarroll, SA, Purcell, S, Schadt, EE, Visscher, PM, Assimes, TL, Borecki, IB, Deloukas, P, Fox, CS, Groop, LC, Haritunians, T, Hunter, DJ, Kaplan, RC, Mohlke, KL, O'Connell, JR, Peltonen, L, Schlessinger, D, Strachan, DP, van Duijn, CM, Wichmann, H-E, Frayling, TM, Thorsteinsdottir, U, Abecasis, GR, Barroso, I, Boehnke, M, Stefansson, K, North, KE, McCarthy, MI, Hirschhorn, JN, Ingelsson, E, Loos, RJF, Speliotes, EK, Willer, CJ, Berndt, SI, Monda, KL, Thorleifsson, G, Jackson, AU, Allen, HL, Lindgren, CM, Luan, J, Maegi, R, Randall, JC, Vedantam, S, Winkler, TW, Qi, L, Workalemahu, T, Heid, IM, Steinthorsdottir, V, Stringham, HM, Weedon, MN, Wheeler, E, Wood, AR, Ferreira, T, Weyant, RJ, Segre, AV, Estrada, K, Liang, L, Nemesh, J, Park, J-H, Gustafsson, S, Kilpelaenen, TO, Yang, J, Bouatia-Naji, N, Esko, T, Feitosa, MF, Kutalik, Z, Mangino, M, Raychaudhuri, S, Scherag, A, Smith, AV, Welch, R, Zhao, JH, Aben, KK, Absher, DM, Amin, N, Dixon, AL, Fisher, E, Glazer, NL, Goddard, ME, Heard-Costa, NL, Hoesel, V, Hottenga, J-J, Johansson, A, Johnson, T, Ketkar, S, Lamina, C, Li, S, Moffatt, MF, Myers, RH, Narisu, N, Perry, JRB, Peters, MJ, Preuss, M, Ripatti, S, Rivadeneira, F, Sandholt, C, Scott, LJ, Timpson, NJ, Tyrer, JP, van Wingerden, S, Watanabe, RM, White, CC, Wiklund, F, Barlassina, C, Chasman, DI, Cooper, MN, Jansson, J-O, Lawrence, RW, Pellikka, N, Prokopenko, I, Shi, J, Thiering, E, Alavere, H, Alibrandi, MTS, Almgren, P, Arnold, AM, Aspelund, T, Atwood, LD, Balkau, B, Balmforth, AJ, Bennett, AJ, Ben-Shlomo, Y, Bergman, RN, Bergmann, S, Biebermann, H, Blakemore, AIF, Boes, T, Bonnycastle, LL, Bornstein, SR, Brown, MJ, Buchanan, TA, Busonero, F, Campbell, H, Cappuccio, FP, Cavalcanti-Proenca, C, Chen, Y-DI, Chen, C-M, Chines, PS, Clarke, R, Coin, L, Connell, J, Day, INM, den Heijer, M, Duan, J, Ebrahim, S, Elliott, P, Elosua, R, Eiriksdottir, G, Erdos, MR, Eriksson, JG, Facheris, MF, Felix, SB, Fischer-Posovszky, P, Folsom, AR, Friedrich, N, Freimer, NB, Fu, M, Gaget, S, Gejman, PV, Geus, EJC, Gieger, C, Gjesing, AP, Goel, A, Goyette, P, Grallert, H, Graessler, J, Greenawalt, DM, Groves, CJ, Gudnason, V, Guiducci, C, Hartikainen, A-L, Hassanali, N, Hall, AS, Havulinna, AS, Hayward, C, Heath, AC, Hengstenberg, C, Hicks, AA, Hinney, A, Hofman, A, Homuth, G, Hui, J, Igl, W, Iribarren, C, Isomaa, B, Jacobs, KB, Jarick, I, Jewell, E, John, U, Jorgensen, T, Jousilahti, P, Jula, A, Kaakinen, M, Kajantie, E, Kaplan, LM, Kathiresan, S, Kettunen, J, Kinnunen, L, Knowles, JW, Kolcic, I, Koenig, IR, Koskinen, S, Kovacs, P, Kuusisto, J, Kraft, P, Kvaloy, K, Laitinen, J, Lantieri, O, Lanzani, C, Launer, LJ, Lecoeur, C, Lehtimaeki, T, Lettre, G, Liu, J, Lokki, M-L, Lorentzon, M, Luben, RN, Ludwig, B, Manunta, P, Marek, D, Marre, M, Martin, NG, McArdle, WL, McCarthy, A, McKnight, B, Meitinger, T, Melander, O, Meyre, D, Midthjell, K, Montgomery, GW, Morken, MA, Morris, AP, Mulic, R, Ngwa, JS, Nelis, M, Neville, MJ, Nyholt, DR, O'Donnell, CJ, O'Rahilly, S, Ong, KK, Oostra, B, Pare, G, Parker, AN, Perola, M, Pichler, I, Pietilaeinen, KH, Platou, CGP, Polasek, O, Pouta, A, Rafelt, S, Raitakari, O, Rayner, NW, Ridderstrale, M, Rief, W, Ruokonen, A, Robertson, NR, Rzehak, P, Salomaa, V, Sanders, AR, Sandhu, MS, Sanna, S, Saramies, J, Savolainen, MJ, Scherag, S, Schipf, S, Schreiber, S, Schunkert, H, Silander, K, Sinisalo, J, Siscovick, DS, Smit, JH, Soranzo, N, Sovio, U, Stephens, J, Surakka, I, Swift, AJ, Tammesoo, M-L, Tardif, J-C, Teder-Laving, M, Teslovich, TM, Thompson, JR, Thomson, B, Toenjes, A, Tuomi, T, van Meurs, JBJ, van Ommen, G-J, Vatin, V, Viikari, J, Visvikis-Siest, S, Vitart, V, Vogel, CIG, Voight, BF, Waite, LL, Wallaschofski, H, Walters, GB, Widen, E, Wiegand, S, Wild, SH, Willemsen, G, Witte, DR, Witteman, JC, Xu, J, Zhang, Q, Zgaga, L, Ziegler, A, Zitting, P, Beilby, JP, Farooqi, IS, Hebebrand, J, Huikuri, HV, James, AL, Kaehoenen, M, Levinson, DF, Macciardi, F, Nieminen, MS, Ohlsson, C, Palmer, LJ, Ridker, PM, Stumvoll, M, Beckmann, JS, Boeing, H, Boerwinkle, E, Boomsma, DI, Caulfield, MJ, Chanock, SJ, Collins, FS, Cupples, LA, Smith, GD, Erdmann, J, Froguel, P, Greonberg, H, Gyllensten, U, Hall, P, Hansen, T, Harris, TB, Hattersley, AT, Hayes, RB, Heinrich, J, Hu, FB, Hveem, K, Illig, T, Jarvelin, M-R, Kaprio, J, Karpe, F, Khaw, K-T, Kiemeney, LA, Krude, H, Laakso, M, Lawlor, DA, Metspalu, A, Munroe, PB, Ouwehand, WH, Pedersen, O, Penninx, BW, Peters, A, Pramstaller, PP, Quertermous, T, Reinehr, T, Rissanen, A, Rudan, I, Samani, NJ, Schwarz, PEH, Shuldiner, AR, Spector, TD, Tuomilehto, J, Uda, M, Uitterlinden, A, Valle, TT, Wabitsch, M, Waeber, G, Wareham, NJ, Watkins, H, Wilson, JF, Wright, AF, Zillikens, MC, Chatterjee, N, McCarroll, SA, Purcell, S, Schadt, EE, Visscher, PM, Assimes, TL, Borecki, IB, Deloukas, P, Fox, CS, Groop, LC, Haritunians, T, Hunter, DJ, Kaplan, RC, Mohlke, KL, O'Connell, JR, Peltonen, L, Schlessinger, D, Strachan, DP, van Duijn, CM, Wichmann, H-E, Frayling, TM, Thorsteinsdottir, U, Abecasis, GR, Barroso, I, Boehnke, M, Stefansson, K, North, KE, McCarthy, MI, Hirschhorn, JN, Ingelsson, E, and Loos, RJF
- Abstract
Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ∼ 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 × 10⁻⁸), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.
- Published
- 2010
15. The effects of interleukin-8, VEGF and CFH polymorphisms on the long-term response to bevacizumab therapy in exudative age-related macular degeneration
- Author
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HAUTAMäKI, A, primary, KIVIOJA, J, additional, VAVULI, S, additional, KAKKO, S, additional, SAVOLAINEN, ER, additional, SAVOLAINEN, MJ, additional, LIINAMAA, MJ, additional, SEITSONEN, S, additional, ONKAMO, P, additional, JÄRVELÄ, I, additional, LUOMA, A, additional, and IMMONEN, I, additional
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- 2013
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16. Apolipoprotein E phenotype and diet-induced alteration in blood pressure
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Rantala, M, primary, Savolainen, MJ, additional, Kervinen, K, additional, and Kesäniemi, YA, additional
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- 1997
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17. F022 Mechanisms regulating low density lipoprotein levels in postmenopausal women
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Karjalainen, AH, primary, Heikkinen, JE, additional, Savolainen, MJ, additional, Bäckström, A-C, additional, Salinto, M, additional, and Kesäniemi, YA, additional
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- 1996
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18. Lovastatin enhances hepatic uptake of low density lipoprotein in humans.
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Kervinen, K, primary, Savolainen, MJ, additional, Heikkilä, JI, additional, and Kesäniemi, YA, additional
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- 1993
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19. Reduction in the concentration and activity of plasma cholesteryl ester transfer protein by alcohol.
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Hannuksela, M, primary, Marcel, YL, additional, Kesäniemi, YA, additional, and Savolainen, MJ, additional
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- 1992
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20. Alcohol-induced premature permeability in mouse placenta-yolk sac barriers in vivo.
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Haghighi Poodeh S, Salonurmi T, Nagy I, Koivunen P, Vuoristo J, Räsänen J, Sormunen R, Vainio S, Savolainen MJ, Haghighi Poodeh, S, Salonurmi, T, Nagy, I, Koivunen, P, Vuoristo, J, Räsänen, J, Sormunen, R, Vainio, S, and Savolainen, M J
- Abstract
Objective: Acute alcohol exposure induces malformation and malfunction of placenta-yolk sac tissues in rodents, reducing the labyrinth zone in the placenta and altering the permeability and fluidity of the cell membrane. During normal mouse placentation the cells line up in an optimal way to form a hemotrichorial placenta where layers II and III are connected through gap junctions. These act as molecular sieves that limit the passage of large molecules. PlGF is a developmentally regulated protein that controls the passage of molecules in the vasculosyncytial membranes and media of large blood vessels in the placental villi. In addition to the chorioallontoic placenta, rodents also have another type of placenta that consists of Reichert's membrane within the trophoblast cell layer on the maternal side and the parietal endodermal cells on the embryonic site. This forms a separate materno-fetal transport system. We study here whether alcohol affects these two placental barriers, leading to placental malfunction that in turn diminishes the nutrient supply to the embryo.Study Design: CD-1 mice received two intraperitoneal injections of 3 g/kg ethanol at 4 h intervals at 8.75 days post coitum (dpc). The placentas were collected on 9.5, 11.5 and 14.5 dpc and used for histopathological protein studies. Hemotrichorial cell layer structure interactions through connective tissue and gap junction were analyzed by electron microscopy. The permeability of the feto-maternal barrier was visualized with Evans Blue.Results: VEGF, a permeability inducer, was found to be up-regulated in the mouse placenta after acute alcohol exposure, and permeability was also affected by altered structures in the barriers that separate the feto-maternal blood circulation which destroyed the gap junctions in the hemotrichorial cell layer, reduced the thickness of Reichert's membrane and interfered with with Reichert's trophoblast/Reichert's parietal interaction. These defects together could have caused the permeability malfunction of the placenta-yolk sac tissues as visualized and quantified here by Evans Blue leakage.Conclusions: An altered PlGF/VEGF ratio together with barrier malformation may contribute to placental malfunction by altering the permeability of the feto-maternal barriers. Further studies are needed in order to show whether premature permeability is involved in the intrauterine growth restriction observed in human FAS embryos. [ABSTRACT FROM AUTHOR]- Published
- 2012
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21. Cholesteryl ester transfer protein TaqIB variant, high-density lipoprotein cholesterol levels, cardiovascular risk, and efficacy of pravastatin treatment: individual patient meta-analysis of 13 677 subjects.
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Boekholdt SM, Sacks FM, Jukema JW, Shepherd J, Freeman DJ, McMahon AD, Cambien F, Nicaud V, de Grooth GJ, Eiriksdottir G, Gudnason V, Kauma H, Kakko S, Savolainen MJ, Arca M, Montali A, Liu S, Lanz HJ, Zwinderman AH, and Kuivenhoven JA
- Published
- 2005
22. Apolipoprotein B gene polymorphisms and serum lipids: meta-analysis of the role of genetic variation in responsiveness to diet.
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Rantala M, Rantala TT, Savolainen MJ, Friedlander Y, and Kesäniemi YA
- Abstract
BACKGROUND: The genetic variance determining plasma lipid and lipoprotein concentrations may modify individual responsiveness to alterations in dietary fat and cholesterol content. OBJECTIVE: The aim was to examine the role of apolipoprotein (apo) B DNA polymorphisms in responsiveness of plasma lipids and lipoproteins to diet. DESIGN: A controlled dietary intervention study was conducted in 44 healthy, middle-aged subjects with a 3-mo baseline, a 1-mo fat-controlled, a 1-mo high-fat, and a 1-mo habitual diet period. We also conducted a meta-analysis of all published dietary trials, including our own. RESULTS: In our own dietary study, the apo B XbaI restriction-site polymorphism affected the responsiveness to diet of the plasma LDL-cholesterol concentration (P < 0.05, repeated-measures analysis of variance). Especially during the high-fat diet, homozygous absence of the XbaI restriction site (X(-)/X(-)) was associated with a greater increase in LDL cholesterol (44 +/- 5%) than was X(+)/X(+) (27 +/- 7%) or X(+)/X(-) (40 +/- 5%). The high-fat diet also induced a larger increase in plasma LDL cholesterol in subjects with the R(-)/R(-) genotype (homozygous absence of the EcoRI restriction site) (59 +/- 10%) than in those with the R(+)/R(-) (39 +/- 6%) or R(+)/R(+) (36 +/- 4%) genotype. The M(+)/M(+) genotype (homozygous presence of the MspI restriction site) was also more responsive (41 +/- 3% increase in LDL cholesterol) than the M(+)/M(-) genotype (27 +/- 10% increase). The meta-analysis supported the finding of the significant role of the EcoRI and MspI polymorphisms, but not that of the XbaI polymorphism. CONCLUSIONS: The present study indicated that the apo B EcoRI and MspI polymorphisms are associated with responsiveness to diet. Copyright © 2000 American Society for Clinical Nutrition [ABSTRACT FROM AUTHOR]
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- 2000
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23. Association between angiotensin converting enzyme gene polymorphism and carotid atherosclerosis.
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Kauma H, Päivänsalo M, Savolainen MJ, Rantala AO, Kiema TR, Lilja M, Reunanen A, Kesäniemi YA, Kauma, H, Päivänsalo, M, Savolainen, M J, Rantala, A O, Kiema, T R, Lilja, M, Reunanen, A, and Kesäniemi, Y A
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- 1996
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24. Social alcohol consumption and low Lp(a) lipoprotein concentrations in middle aged Finnish men: population based study.
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Paassilta M, Kervinen K, Rantala AO, Savolainen MJ, Lilja M, Reunanen A, and Kesaniemi YA
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- 1998
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25. Letter by Ala-Korpela et al regarding article, 'lipoprotein particle profiles by nuclear magnetic resonance compared with standard lipids and apolipoproteins in predicting incident cardiovascular disease in women'.
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Ala-Korpela M, Soininen P, and Savolainen MJ
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- 2009
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26. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
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Fredrik Karpe, Ivonne Jarick, Julius S. Ngwa, Alan F. Wright, Robert Luben, Aaron R. Folsom, Sailaja Vedantam, Veikko Salomaa, Markku J. Savolainen, Robert Clarke, Shah Ebrahim, Thomas A. Buchanan, Mao Fu, Albert Hofman, Philippe Goyette, Camilla H. Sandholt, Fabio Macciardi, Elizabeth K. Speliotes, Barbara McKnight, Anne McCarthy, Mika Kaehoenen, Christian Gieger, Jorma S. A. Viikari, Nicholas J. Timpson, Kirsti Kvaløy, Douglas F. Levinson, Toby Johnson, Cornelia M. van Duijn, Samuli Ripatti, Andrew A. Hicks, Niina Pellikka, Charles C. White, Leena Peltonen, Reedik Maegi, John-Olov Jansson, Qunyuan Zhang, Claudia Lamina, Robert C. Kaplan, Peter M. Visscher, Laura J. Scott, Claes Ohlsson, Brian Thomson, Jubao Duan, Heikki V. Huikuri, Stephen O'Rahilly, Anette P. Gjesing, David P. Strachan, Caroline S. Fox, Sekar Kathiresan, Anna-Liisa Hartikainen, Johannes Kettunen, Maris Teder-Laving, Erik Ingelsson, Mario A. Morken, Peter Kovacs, Elisabeth Widen, Caroline Hayward, Eleanor Wheeler, Jing Hua Zhao, Vilmundur Gudnason, Panos Deloukas, Jacqueline C. M. Witteman, Gert-Jan B. van Ommen, Eric Boerwinkle, Martin Wabitsch, Christian Hengstenberg, Beverley Balkau, Thor Aspelund, Neelam Hassanali, Paul M. Ridker, Nicole L. Glazer, Joyce B. J. van Meurs, Michel Marre, Alan James, Ben A. Oostra, David Meyre, Ida Surakka, Stefan Schreiber, Nigel W. Rayner, Heribert Schunkert, Thomas Quertermous, Stefan Gustafsson, Peter Kraft, Benjamin F. Voight, Irene Pichler, Olle Melander, Ozren Polasek, Antti Jula, Alan R. Sanders, Andrew R. Wood, Yoav Ben-Shlomo, Thomas Illig, Jianjun Liu, Gerard Waeber, André G. Uitterlinden, Torben Hansen, Helene Alavere, André Scherag, Paolo Manunta, Johannes Hebebrand, Themistocles L. Assimes, Stefan R. Bornstein, Jaakko Tuomilehto, Morris Brown, Jianfeng Xu, Yii-Der Ida Chen, Nancy L. Heard-Costa, Cristen J. Willer, Henrik Greonberg, Guillaume Lettre, John R. Thompson, Inês Barroso, John R. B. Perry, Andreas Ziegler, James F. Wilson, Christopher J. O'Donnell, Maurizio F. Facheris, Robert Lawrence, Jan Smit, Lyle J. Palmer, Ulf Gyllensten, Richard B. Hayes, Shengxu Li, Barbara Ludwig, Larry D. Atwood, Valgerdur Steinthorsdottir, Sabine Schipf, Jouko Saramies, Tanja Boes, Martin Ridderstråle, Jennie Hui, Lina Zgaga, Susann Scherag, Alexandra I. F. Blakemore, Marjolein Peters, Timo T. Valle, Nelson B. Freimer, Kay-Tee Khaw, Amy J. Swift, Michael Stumvoll, Miriam F. Moffatt, Cecilia M. Lindgren, Ayellet V. Segrè, Neil Robertson, Richard N. Bergman, Francis S. Collins, Ryan P. Welch, Mari-Liis Tammesoo, Devin Absher, Tamara B. Harris, Kari E. North, Manuela Uda, Karen L. Mohlke, Inga Prokopenko, Per Hall, Gudmar Thorleifsson, Marjo-Riitta Järvelin, Guillaume Paré, Stefan Gaget, G. Bragi Walters, Michael N. Weedon, Jean-Claude Tardif, Mary F. Feitosa, Anke Toenjes, Ken K. Ong, Cécile Lecoeur, Paavo Zitting, David S. Siscovick, Chih-Mei Chen, Peter Almgren, Anneli Pouta, Philippe Froguel, Pekka Jousilahti, Jaakko Kaprio, Maria Teresa Sciarrone Alibrandi, Sophie van Wingerden, Steven A. McCarroll, Oluf Pedersen, Shaun Purcell, Veronique Vitart, Leena Kinnunen, Markus Perola, Jacques S. Beckmann, Vincent Vatin, Christopher J. Groves, Zoltán Kutalik, Lu Qi, Volker Hoesel, Seppo Koskinen, Suzanne Rafelt, Anke Hinney, Annette Peters, David Schlessinger, Eero Kajantie, Jian Yang, Nicholas G. Martin, Joshua W. Knowles, Kristian Midthjell, Olivier Lantieri, Dorret I. Boomsma, Harry Campbell, Ulrich John, Kirsi H. Pietilaeinen, George Davey Smith, Carl G. P. Platou, Sarah H. Wild, Patricia B. Munroe, Iris M. Heid, Diana Marek, Michael Boehnke, Andres Metspalu, Hana Lango Allen, Peter Rzehak, Christine Cavalcanti-Proença, M. Carola Zillikens, Åsa Johansson, Anuj Goel, Andrew T. Hattersley, Massimo Mangino, Michael E. Goddard, Tim D. Spector, Winfried Rief, Jonathan Tyrer, Lachlan J. M. Coin, Peter P. Pramstaller, Narisu Narisu, John Beilby, Jonathan Stephens, Christina Barlassina, Pamela Fischer-Posovszky, Brenda W.J.H. Penninx, Kaisa Silander, Richard H. Myers, Jouke-Jan Hottenga, Eric E. Schadt, Francesco P. Cappuccio, Martin den Heijer, Fernando Rivadeneira, Lindsay L. Waite, Wilmar Igl, Igor Rudan, Manjinder S. Sandhu, Debbie A Lawlor, Kristian Hveem, Susanna Wiegand, Mari Nelis, Thomas Reinehr, Elisabeth Thiering, Inke R. Koenig, Stephan B. Felix, Fredrik Wiklund, Ian N. M. Day, Willem H. Ouwehand, Peter Schwarz, Richard M. Watanabe, Keri L. Monda, Kari Stefansson, Gudny Eiriksdottir, H-Erich Wichmann, Jianxin Shi, Najaf Amin, Carlos Iribarren, Heiko Krude, Dale R. Nyholt, Lenore J. Launer, Stephen J. Chanock, Harald Grallert, Hugh Watkins, Juergen Graessler, Tsegaselassie Workalemahu, Jeanette Erdmann, Mattias Lorentzon, Leif Groop, Teresa Ferreira, Chiara Lanzani, Johanna Kuusisto, Johan G. Eriksson, Tõnu Esko, Torben Jørgensen, Robert J. Weyant, Michael Preuss, Lambertus A. Kiemeney, Daniel I. Chasman, Daniel R. Witte, Kevin B. Jacobs, Nicole Soranzo, John M. C. Connell, Soumya Raychaudhuri, Jian'an Luan, Joshua C. Randall, Joachim Heinrich, Anthony J. Balmforth, Eva Fisher, Elizabeth S. Jewell, Alice M. Arnold, Nele Friedrich, Olli T. Raitakari, Henri Wallaschofski, Jeffrey R. O'Connell, Terho Lehtimaeki, Marika Kaakinen, Heather M. Stringham, Bo Isomaa, I. Sadaf Farooqi, Anna L. Dixon, Anne U. Jackson, Mark I. McCarthy, Lori L. Bonnycastle, Aila Rissanen, Joel N. Hirschhorn, Nilesh J. Samani, Aimo Ruokonen, Frank B. Hu, L. Adrienne Cupples, Amanda J. Bennett, Shamika Ketkar, Ruth J. F. Loos, Nicholas J. Wareham, Tiinamaija Tuomi, Timothy M. Frayling, Ulla Sovio, Georg Homuth, Liming Liang, Heiner Boeing, Unnur Thorsteinsdottir, Ingrid B. Borecki, Danielle M. Greenawalt, Rosanda Mulić, Ivana Kolcic, Talin Haritunians, Mark J. Caulfield, Marja-Liisa Lokki, Tanya M. Teslovich, Paul Elliott, Matt Neville, Nilanjan Chatterjee, Albert V. Smith, Andrew P. Morris, Fabio Busonero, Gonçalo R. Abecasis, Jaana Laitinen, Michael R. Erdos, Candace Guiducci, Lee M. Kaplan, Aki S. Havulinna, Pablo V. Gejman, Alan R. Shuldiner, Serena Sanna, David J. Hunter, Sonja I. Berndt, Carla I. G. Vogel, Alistair S. Hall, Karol Estrada, Sven Bergmann, Thomas Meitinger, Gonneke Willemsen, Andrew C. Heath, Katja K.H. Aben, Markku Laakso, Juha Sinisalo, Tuomas O. Kilpelaenen, Mark E. Cooper, Heike Biebermann, Eco J. C. de Geus, Grant W. Montgomery, Sophie Visvikis-Siest, Thomas W. Winkler, Ju-Hyun Park, Alex N. Parker, Peter S. Chines, James Nemesh, Nabila Bouatia-Naji, Wendy L. McArdle, Roberto Elosua, Markku S. Nieminen, Psychiatry, NCA - Anxiety & Depression, EMGO - Mental health, Epidemiology, Internal Medicine, Clinical Genetics, Radiology & Nuclear Medicine, Erasmus MC other, Public Health, Biological Psychology, Neuroscience Campus Amsterdam - Anxiety & Depression, EMGO+ - Mental Health, MAGIC, Procardis Consortium, Medical Research Council (MRC), Speliotes, Ek, Willer, Cj, Berndt, Si, Monda, Kl, Thorleifsson, G, Jackson, Au, Allen, Hl, Lindgren, Cm, Luan, J, Mägi, R, Randall, Jc, Vedantam, S, Winkler, Tw, Qi, L, Workalemahu, T, Heid, Im, Steinthorsdottir, V, Stringham, Hm, Weedon, Mn, Wheeler, E, Wood, Ar, Ferreira, T, Weyant, Rj, Segrè, Av, Estrada, K, Liang, L, Nemesh, J, Park, Jh, Gustafsson, S, Kilpeläinen, To, Yang, J, BOUATIA NAJI, N, Esko, T, Feitosa, Mf, Kutalik, Z, Mangino, M, Raychaudhuri, S, Scherag, A, Smith, Av, Welch, R, Zhao, Jh, Aben, Kk, Absher, Dm, Amin, N, Dixon, Al, Fisher, E, Glazer, Nl, Goddard, Me, HEARD COSTA, Nl, Hoesel, V, Hottenga, Jj, Johansson, A, Johnson, T, Ketkar, S, Lamina, C, Li, S, Moffatt, Mf, Myers, Rh, Narisu, N, Perry, Jr, Peters, Mj, Preuss, M, Ripatti, S, Rivadeneira, F, Sandholt, C, Scott, Lj, Timpson, Nj, Tyrer, Jp, VAN WINGERDEN, S, Watanabe, Rm, White, Cc, Wiklund, F, Barlassina, C, Chasman, Di, Cooper, Mn, Jansson, Jo, Lawrence, Rw, Pellikka, N, Prokopenko, I, Shi, J, Thiering, E, Alavere, H, Alibrandi, Mt, Almgren, P, Arnold, Am, Aspelund, T, Atwood, Ld, Balkau, B, Balmforth, Aj, Bennett, Aj, BEN SHLOMO, Y, Bergman, Rn, Bergmann, S, Biebermann, H, Blakemore, Ai, Boes, T, Bonnycastle, Ll, Bornstein, Sr, Brown, Mj, Buchanan, Ta, Busonero, F, Campbell, H, Cappuccio, Fp, CAVALCANTI PROENÇA, C, Chen, Yd, Chen, Cm, Chines, P, Clarke, R, Coin, L, Connell, J, Day, In, DEN HEIJER, M, Duan, J, Ebrahim, S, Elliott, P, Elosua, R, Eiriksdottir, G, Erdos, Mr, Eriksson, Jg, Facheris, Mf, Felix, Sb, FISCHER POSOVSZKY, P, Folsom, Ar, Friedrich, N, Freimer, Nb, Fu, M, Gaget, S, Gejman, Pv, Geus, Ej, Gieger, C, Gjesing, Ap, Goel, A, Goyette, P, Grallert, H, Grässler, J, Greenawalt, Dm, Groves, Cj, Gudnason, V, Guiducci, C, Hartikainen, Al, Hassanali, N, Hall, A, Havulinna, A, Hayward, C, Heath, Ac, Hengstenberg, C, Hicks, Aa, Hinney, A, Hofman, A, Homuth, G, Hui, J, Igl, W, Iribarren, C, Isomaa, B, Jacobs, Kb, Jarick, I, Jewell, E, John, U, Jørgensen, T, Jousilahti, P, Jula, A, Kaakinen, M, Kajantie, E, Kaplan, Lm, Kathiresan, S, Kettunen, J, Kinnunen, L, Knowles, Jw, Kolcic, I, König, Ir, Koskinen, S, Kovacs, P, Kuusisto, J, Kraft, P, Kvaløy, K, Laitinen, J, Lantieri, O, Lanzani, C, Launer, Lj, Lecoeur, C, Lehtimäki, T, Lettre, G, Liu, J, Lokki, Ml, Lorentzon, M, Luben, Rn, Ludwig, B, Magic, Manunta, Paolo, Marek, D, Marre, M, Martin, Ng, Mcardle, Wl, Mccarthy, A, Mcknight, B, Meitinger, T, Melander, O, Meyre, D, Midthjell, K, Montgomery, Gw, Morken, Ma, Morris, Ap, Mulic, R, Ngwa, J, Nelis, M, Neville, Mj, Nyholt, Dr, O'Donnell, Cj, O'Rahilly, S, Ong, Kk, Oostra, B, Paré, G, Parker, An, Perola, M, Pichler, I, Pietiläinen, Kh, Platou, Cg, Polasek, O, Pouta, A, Rafelt, S, Raitakari, O, Rayner, Nw, Ridderstråle, M, Rief, W, Ruokonen, A, Robertson, Nr, Rzehak, P, Salomaa, V, Sanders, Ar, Sandhu, M, Sanna, S, Saramies, J, Savolainen, Mj, Scherag, S, Schipf, S, Schreiber, S, Schunkert, H, Silander, K, Sinisalo, J, Siscovick, D, Smit, Jh, Soranzo, N, Sovio, U, Stephens, J, Surakka, I, Swift, Aj, Tammesoo, Ml, Tardif, Jc, TEDER LAVING, M, Teslovich, Tm, Thompson, Jr, Thomson, B, Tönjes, A, Tuomi, T, VAN MEURS, Jb, VAN OMMEN, Gj, Vatin, V, Viikari, J, VISVIKIS SIEST, S, Vitart, V, Vogel, Ci, Voight, Bf, Waite, Ll, Wallaschofski, H, Walters, Gb, Widen, E, Wiegand, S, Wild, Sh, Willemsen, G, Witte, Dr, Witteman, Jc, Xu, J, Zhang, Q, Zgaga, L, Ziegler, A, Zitting, P, Beilby, Jp, Farooqi, I, Hebebrand, J, Huikuri, Hv, James, Al, Kähönen, M, Levinson, Df, Macciardi, F, Nieminen, M, Ohlsson, C, Palmer, Lj, Ridker, Pm, Stumvoll, M, Beckmann, J, Boeing, H, Boerwinkle, E, Boomsma, Di, Caulfield, Mj, Chanock, Sj, Collins, F, Cupples, La, Smith, Gd, Erdmann, J, Froguel, P, Grönberg, H, Gyllensten, U, Hall, P, Hansen, T, Harris, Tb, Hattersley, At, Hayes, Rb, Heinrich, J, Hu, Fb, Hveem, K, Illig, T, Jarvelin, Mr, Kaprio, J, Karpe, F, Khaw, Kt, Kiemeney, La, Krude, H, Laakso, M, Lawlor, Da, Metspalu, A, Munroe, Pb, Ouwehand, Wh, Pedersen, O, Penninx, Bw, Peters, A, Pramstaller, Pp, Quertermous, T, Reinehr, T, Rissanen, A, Rudan, I, Samani, Nj, Schwarz, Pe, Shuldiner, Ar, Spector, Td, Tuomilehto, J, Uda, M, Uitterlinden, A, Valle, Tt, Wabitsch, M, Waeber, G, Wareham, Nj, Watkins, H, Procardis, Consortium, Wilson, Jf, Wright, Af, Zillikens, Mc, Chatterjee, N, Mccarroll, Sa, Purcell, S, Schadt, Ee, Visscher, Pm, Assimes, Tl, Borecki, Ib, Deloukas, P, Fox, C, Groop, Lc, Haritunians, T, Hunter, Dj, Kaplan, Rc, Mohlke, Kl, O'Connell, Jr, Peltonen, L, Schlessinger, D, Strachan, Dp, VAN DUIJN, Cm, Wichmann, He, Frayling, Tm, Thorsteinsdottir, U, Abecasis, Gr, Barroso, I, Boehnke, M, Stefansson, K, North, Ke, Mccarthy, Mi, Hirschhorn, Jn, Ingelsson, E, and Loos, Rj
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Netherlands Twin Register (NTR) ,Medizin ,Genome-wide association study ,Aetiology, screening and detection [ONCOL 5] ,FTO gene ,Body Mass Index ,0302 clinical medicine ,SH2B1 ,GASTRIC-INHIBITORY POLYPEPTIDE ,ADULT OBESITY ,Glucose homeostasis ,Body Size ,GENETICS & HEREDITY ,2. Zero hunger ,Genetics ,Genetics & Heredity ,RISK ,0303 health sciences ,Neuronal growth regulator 1 ,Genetics of obesity ,COMMON VARIANTS ,Chromosome Mapping ,11 Medical And Health Sciences ,Body Height/genetics ,Body Size/genetics ,Body Weight/genetics ,European Continental Ancestry Group/genetics ,Genetic Predisposition to Disease/genetics ,Genome-Wide Association Study ,Humans ,Obesity/genetics ,Polymorphism, Single Nucleotide ,FAT MASS ,Body Height/*genetics *Body Mass Index Body Size/genetics Body Weight/*genetics *Chromosome Mapping European Continental Ancestry Group/genetics Genetic Predisposition to Disease/genetics Genome-Wide Association Study Humans Obesity/genetics Polymorphism, Single Nucleotide ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,MELANOCORTIN-4 RECEPTOR GENE ,Life Sciences & Biomedicine ,European Continental Ancestry Group ,EARLY-ONSET ,030209 endocrinology & metabolism ,Locus (genetics) ,Biology ,Article ,White People ,Molecular epidemiology [NCEBP 1] ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,body mass index ,genome-wide association ,meta-analysis ,Genetic Predisposition to Disease ,Obesity ,GENOME-WIDE ASSOCIATION ,FTO GENE ,030304 developmental biology ,Science & Technology ,genome-wide association gastric-inhibitory polypeptide melanocortin-4 receptor gene glucose-homeostasis common variants adult obesity early-onset fat mass risk metaanalysis ,Body Weight ,06 Biological Sciences ,MAGIC ,Body Height ,GLUCOSE-HOMEOSTASIS ,Procardis Consortium ,Body mass index ,Developmental Biology - Abstract
Obesity is globaLy prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined aSociations betwEn body maS index and ĝ̂1/42.8 miLion SNPs in up to 123,865 individuals with targeted foLow up of 42 SNPs in up to 125,931 aDitional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci aSociated with body maS index (P < 5-10-8), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly aSociated loci may provide new insights into human body weight regulation. © 2010 Nature America, Inc. All rights reserved.
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- 2010
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27. Mobile health behaviour change support system as independent treatment tool for obesity: a randomized controlled trial.
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Markkanen JO, Oikarinen N, Savolainen MJ, Merikallio H, Nyman V, Salminen V, Virkkula T, Karppinen P, Oinas-Kukkonen H, and Hukkanen J
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- Humans, Female, Adolescent, Young Adult, Adult, Middle Aged, Aged, Male, Weight Loss, Digital Health, Health Behavior, Obesity therapy, Telemedicine methods
- Abstract
Background/objectives: Digital health interventions are increasingly utilized as an adjunct to face-to-face counselling in the treatment of obesity. However, previous studies have shown inconsistent efficacy when digital interventions are used as stand-alone treatment. The purpose of this study was to investigate whether a mobile health behaviour change support system (mHBCSS) is effective in weight reduction and weight loss maintenance without additional counselling. Furthermore, changes in cardiometabolic risk factors were investigated., Methods: In this randomized controlled trial, a mHBCSS intervention was conducted for 200 volunteers with obesity (BMI 30-40 kg/m² and age 18-65 years). The study participants were randomly assigned into two groups: immediate access to mHBCSS intervention or wait-list control with access to mHBCSS after 6 months. Anthropometric and metabolic traits were also measured. The primary outcome was weight loss from the baseline to the 6-month visit., Results: Among 200 participants (88.5% women), mean BMI (SD) was 34.3 kg/m² (2.8) and age 46.5 years (9.5). The retention rate was 98.5% and 89.0% at the 6- and 12-month visits, respectively. At the 6-month visit, those with immediate access to mHBCSS had significantly greater weight loss (-2.5%, 95% CI -3.4 to -1.6, p < 0.001) compared with the wait-list control group (0.2%, 95% CI -0.4 to 0.9, p = 0.466; between groups p < 0.001). Weight loss was maintained until the 12-month time point in the mHBCSS group (-2.1%, 95% CI -3.3 to -0.9, p = 0.001). The usage of mHBCSS had no significant effect on metabolic traits., Conclusion: The mHBCSS as a stand-alone treatment of obesity results in weight reduction and weight loss maintenance with remarkable adherence rate. Further studies are needed to establish how to best implement the scalable and resource-efficient mHBCSS into the standard care of obesity to achieve optimal weight loss results., (© 2023. The Author(s).)
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- 2024
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28. Impact of RYGB surgery on plasma immunoglobulins: association between blood pressure and glucose levels six months after surgery.
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Happonen N, Härma MA, Akhi R, Nissinen AE, Savolainen MJ, Ruuth M, Öörni K, Adeshara K, Lehto M, Groop PH, Koivukangas V, Hukkanen J, and Hörkkö S
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- Humans, Blood Glucose, Blood Pressure, Glucose, Immunoglobulin M, Immunoglobulin G, Gastric Bypass, Diabetes Mellitus, Type 2
- Abstract
We aimed to study levels of natural antibodies in plasma, and their associations to clinical and fecal biomarkers, before and 6 months after Roux-en-Y gastric bypass (RYGB) surgery. Thirty individuals with obesity [16 type 2 diabetic, 14 non-diabetic (ND)] had RYGB surgery. Total plasma IgA, IgG and IgM antibody levels and specific antibodies to oxidized low-density lipoprotein (oxLDL), malondialdehyde-acetaldehyde adducts, Porphyromonas gingivalis gingipain A hemagglutinin domain (Rgp44), and phosphocholine were measured using chemiluminescence immunoassay. Associations between plasma and fecal antibodies as well as clinical markers were analyzed. RYGB surgery reduced blood pressure, and the glycemic state was improved. A higher level of diastolic blood pressure was associated with lower plasma antibodies to oxLDL after surgery. Also, lower level of glucose markers associated with lower level of plasma antibodies to bacterial virulence factors. Antibodies to oxLDL decreased after surgery, and positive association between active serum lipopolysaccharide and specific oxLDL antibodies was detected. Total IgG levels decreased after surgery, but only in ND individuals. Reduced level of total plasma IgG, improved state of hypertension and hyperglycemia and their associations with decreased levels of specific antibodies in plasma, suggest an improved state of systemic inflammation after RYGB surgery., (© 2023 The Authors. APMIS published by John Wiley & Sons Ltd on behalf of Scandinavian Societies for Pathology, Medical Microbiology and Immunology.)
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- 2024
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29. Short-Term Metabolic Changes and Their Physiological Mediators in the Roux-en-Y Gastric Bypass Bariatric Surgery.
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Zhao S, Hörkkö S, Savolainen MJ, Koivukangas V, Mäkinen VP, Ala-Korpela M, and Hukkanen J
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- Humans, Leucine, Insulin, Glucose, Tyrosine, Gastric Bypass, Obesity, Morbid surgery, Diabetes Mellitus, Type 2 surgery, Bariatric Surgery
- Abstract
Background: The Roux-en-Y gastric bypass (RYGB) is a common bariatric surgery to treat obesity. Its metabolic consequences are favourable and long-term clinical corollaries beneficial. However, detailed assessments of various affected metabolic pathways and their mediating physiological factors are scarce., Methods: We performed a clinical study with 30 RYGB patients in preoperative and 6-month postoperative visits. NMR metabolomics was applied to profiling of systemic metabolism via 80 molecular traits, representing core cardiometabolic pathways. Glucose, glycated haemoglobin (HbA1c), insulin, and apolipoprotein B-48 were measured with standard assays. Logistic regression models of the surgery effect were used for each metabolic measure and assessed individually for multiple mediating physiological factors., Results: Changes in insulin concentrations reflected those of BMI with robust decreases due to the surgery. Six months after the surgery, triglycerides, remnant cholesterol, and apolipoprotein B-100 were decreased -24%, -18%, and -14%, respectively. Lactate and glycoprotein acetyls, a systemic inflammation biomarker, decreased -16% and -9%, respectively. The concentrations of branched-chain (BCAA; leucine, isoleucine, and valine) and aromatic (phenylalanine and tyrosine) amino acids decreased after the surgery between -17% for tyrosine and -23% for leucine. Except for the most prominent metabolic changes observed for the BCAAs, all changes were almost completely mediated by weight change and insulin. Glucose and type 2 diabetes had clearly weaker effects on the metabolic changes., Conclusions: The comprehensive metabolic analyses indicate that weight loss and improved insulin sensitivity during the 6 months after the RYGB surgery are the key physiological outcomes mediating the short-term advantageous metabolic effects of RYGB. The clinical study was registered at ClinicalTrials.gov as NCT01330251., (© 2024. The Author(s).)
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- 2024
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30. Low eating self-efficacy is associated with unfavorable eating behavior tendencies among individuals with overweight and obesity.
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Oikarinen N, Jokelainen T, Heikkilä L, Nurkkala M, Hukkanen J, Salonurmi T, Savolainen MJ, and Teeriniemi AM
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- Male, Humans, Female, Cross-Sectional Studies, Feeding Behavior psychology, Obesity psychology, Surveys and Questionnaires, Overweight psychology, Self Efficacy
- Abstract
Success in long-term weight management depends partly on psychological and behavioral aspects. Understanding the links between psychological factors and eating behavior tendencies is needed to develop more effective weight management methods. This population-based cross-sectional study examined whether eating self-efficacy (ESE) is associated with cognitive restraint (CR), uncontrolled eating (UE), emotional eating (EE), and binge eating (BE). The hypothesis was that individuals with low ESE have more unfavorable eating behavior tendencies than individuals with high ESE. Participants were classified as low ESE and high ESE by the Weight-Related Self-Efficacy questionnaire (WEL) median cut-off point. Eating behavior tendencies were assessed with Three Factor Eating Questionnaire R-18 and Binge Eating Scale, and additionally, by the number of difficulties in weight management. The difficulties were low CR, high UE, high EE, and moderate or severe BE. Five hundred and thirty-two volunteers with overweight and obesity were included in the study. Participants with low ESE had lower CR (p < 0.03) and higher UE, EE, and BE (p < 0.001) than participants with high ESE. Thirty-nine percent of men with low ESE had at least two difficulties in successful weight control while this percentage was only 8% in men with high ESE. In women, the corresponding figures were 56% and 10%. The risk of low ESE was increased by high UE [OR 5.37 (95% CI 1.99-14.51)], high EE [OR 6.05 (95% CI 2.07-17.66)], or moderate or severe BE [OR 12.31 (95% CI 1.52-99.84)] in men, and by low CR [OR 5.19 (95% CI 2.22-12.18)], high UE [OR 7.20 (95% CI 2.41-19.22)], or high EE [OR 23.66 (95% CI 4.79-116.77)] in women. Low ESE was associated with unfavorable eating behavior tendencies and multiple concomitant difficulties in successful weight loss promotion. These eating behavior tendencies should be considered when counseling patients with overweight and obesity., (© 2023. The Author(s).)
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- 2023
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31. Total fecal IgA levels increase and natural IgM antibodies decrease after gastric bypass surgery.
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Istomin N, Härma MA, Akhi R, Nissinen AE, Savolainen MJ, Adeshara K, Lehto M, Groop PH, Koivukangas V, Hukkanen J, and Hörkkö S
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- Acetaldehyde, Feces, Gingipain Cysteine Endopeptidases, Hemagglutinins, Humans, Immunoglobulin A, Immunoglobulin G, Immunoglobulin M, Lipoproteins, LDL, Malondialdehyde, Obesity surgery, Phosphorylcholine, Diabetes Mellitus, Type 2 surgery, Gastric Bypass
- Abstract
Obesity is associated with low-grade inflammation and increased systemic oxidative stress. Roux-en-Y gastric bypass (RYGB) surgery is known to ameliorate the obesity-induced metabolic dysfunctions. We aimed to study the levels of natural antibodies in feces, before and 6 months after RYGB surgery in obese individuals with and without type 2 diabetes (T2D). Sixteen individuals with T2D and 14 non-diabetic (ND) individuals were operated. Total IgA, IgG and IgM antibody levels and specific antibodies to oxidized low-density lipoprotein (oxLDL), malondialdehyde-acetaldehyde adducts (MAA adducts), Porphyromonas gingivalis gingipain A hemagglutinin domain (Rgp44) and phosphocholine (PCho) were measured using chemiluminescence immunoassay. Total fecal IgA was elevated, while total IgM and IgG were not affected by the surgery. Fecal natural IgM specific to oxLDL decreased significantly in both T2D and ND individuals, while fecal IgM to Rgp44 and PCho decreased significantly in T2D individuals. A decrease in IgG to MAA-LDL, Rgp44 and PCho was detected. RYGB surgery increases the levels of total fecal IgA and decreases fecal natural IgG and IgM antibodies specific to oxLDL. Natural antibodies and IgA are important in maintaining the normal gut homeostasis and first-line defense against microbes, and their production is markedly altered with RYGB surgery., (© 2022 The Authors. APMIS published by John Wiley & Sons Ltd on behalf of Scandinavian Societies for Pathology, Medical Microbiology and Immunology.)
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- 2022
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32. Analysis of the SYSDIET Healthy Nordic Diet randomized trial based on metabolic profiling reveal beneficial effects on glucose metabolism and blood lipids.
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Gürdeniz G, Uusitupa M, Hermansen K, Savolainen MJ, Schwab U, Kolehmainen M, Brader L, Cloetens L, Herzig KH, Hukkanen J, Rosqvist F, Ulven SM, Gunnarsdóttir I, Thorsdottir I, Oresic M, Poutanen KS, Risérus U, Åkesson B, and Dragsted LO
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- Area Under Curve, Biomarkers blood, Biomarkers urine, Cardiometabolic Risk Factors, Eating physiology, Fasting blood, Fasting urine, Female, Humans, Inflammation Mediators blood, Lipids blood, Lipoproteins blood, Male, Metabolic Syndrome complications, Middle Aged, Overweight complications, Overweight diet therapy, Principal Component Analysis, Randomized Controlled Trials as Topic, Scandinavian and Nordic Countries, Triglycerides blood, Blood Glucose metabolism, Diet, Healthy methods, Metabolic Syndrome diet therapy, Metabolomics methods, Nutrition Assessment
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Background & Aims: Intake assessment in multicenter trials is challenging, yet important for accurate outcome evaluation. The present study aimed to characterize a multicenter randomized controlled trial with a healthy Nordic diet (HND) compared to a Control diet (CD) by plasma and urine metabolic profiles and to associate them with cardiometabolic markers., Methods: During 18-24 weeks of intervention, 200 participants with metabolic syndrome were advised at six centres to eat either HND (e.g. whole-grain products, berries, rapeseed oil, fish and low-fat dairy) or CD while being weight stable. Of these 166/159 completers delivered blood/urine samples. Metabolic profiles of fasting plasma and 24 h pooled urine were analysed to identify characteristic diet-related patterns. Principal components analysis (PCA) scores (i.e. PC1 and PC2 scores) were used to test their combined effect on blood glucose response (primary endpoint), serum lipoproteins, triglycerides, and inflammatory markers., Results: The profiles distinguished HND and CD with AUC of 0.96 ± 0.03 and 0.93 ± 0.02 for plasma and urine, respectively, with limited heterogeneity between centers, reflecting markers of key foods. Markers of fish, whole grain and polyunsaturated lipids characterized HND, while CD was reflected by lipids containing palmitoleic acid. The PC1 scores of plasma metabolites characterizing the intervention is associated with HDL (β = 0.05; 95% CI: 0.02, 0.08; P = 0.001) and triglycerides (β = -0.06; 95% CI: -0.09, -0.03; P < 0.001). PC2 scores were related with glucose metabolism (2 h Glucose, β = 0.1; 95% CI: 0.05, 0.15; P < 0.001), LDL (β = 0.06; 95% CI: 0.01, 0.1; P = 0.02) and triglycerides (β = 0.11; 95% CI: 0.06, 0.15; P < 0.001). For urine, the scores were related with LDL cholesterol., Conclusions: Plasma and urine metabolite profiles from SYSDIET reflected good compliance with dietary recommendations across the region. The scores of metabolites characterizing the diets associated with outcomes related with cardio-metabolic risk. Our analysis therefore offers a novel way to approach a per protocol analysis with a balanced compliance assessment in larger multicentre dietary trials. The study was registered at clinicaltrials.gov with NCT00992641., Competing Interests: Conflict of interest The authors declare they have no conflict of interest., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2022
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33. Activation of pregnane X receptor induces atherogenic lipids and PCSK9 by a SREBP2-mediated mechanism.
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Karpale M, Käräjämäki AJ, Kummu O, Gylling H, Hyötyläinen T, Orešič M, Tolonen A, Hautajärvi H, Savolainen MJ, Ala-Korpela M, Hukkanen J, and Hakkola J
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- Animals, Humans, Mice, Pregnane X Receptor, Receptors, LDL genetics, Sterol Regulatory Element Binding Protein 2 genetics, Pharmaceutical Preparations, Proprotein Convertase 9 genetics
- Abstract
Background and Purpose: Many drugs and environmental contaminants induce hypercholesterolemia and promote the risk of atherosclerotic cardiovascular disease. We tested the hypothesis that pregnane X receptor (PXR), a xenobiotic-sensing nuclear receptor, regulates the level of circulating atherogenic lipids in humans and utilized mouse experiments to identify the mechanisms involved., Experimental Approach: We performed serum NMR metabolomics in healthy volunteers administered rifampicin, a prototypical human PXR ligand or placebo in a crossover setting. We used high-fat diet fed wild-type and PXR knockout mice to investigate the mechanisms mediating the PXR-induced alterations in cholesterol homeostasis., Key Results: Activation of PXR induced cholesterogenesis both in pre-clinical and clinical settings. In human volunteers, rifampicin increased intermediate-density lipoprotein (IDL), low-density lipoprotein (LDL) and total cholesterol and lathosterol-cholesterol ratio, a marker of cholesterol synthesis, suggesting increased cholesterol synthesis. Experiments in mice indicated that PXR activation causes widespread induction of the cholesterol synthesis genes including the rate-limiting Hmgcr and upregulates the intermediates in the Kandutsch-Russell cholesterol synthesis pathway in the liver. Additionally, PXR activation induced plasma proprotein convertase subtilisin/kexin type 9 (PCSK9), a negative regulator of hepatic LDL uptake, in both mice and humans. We propose that these effects were mediated through increased proteolytic activation of sterol regulatory element-binding protein 2 (SREBP2) in response to PXR activation., Conclusion and Implications: PXR activation induces cholesterol synthesis, elevating LDL and total cholesterol in humans. The PXR-SREBP2 pathway is a novel regulator of the cholesterol and PCSK9 synthesis and a molecular mechanism for drug- and chemical-induced hypercholesterolemia., (© 2021 The Authors. British Journal of Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society.)
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- 2021
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34. Distinct Fatty Acid Compositions of HDL Phospholipids Are Characteristic of Metabolic Syndrome and Premature Coronary Heart Disease-Family Study.
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Paavola T, Bergmann U, Kuusisto S, Kakko S, Savolainen MJ, and Salonurmi T
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- Adult, Family, Female, Humans, Lipidomics, Male, Middle Aged, Risk Factors, Coronary Artery Disease metabolism, Fatty Acids metabolism, Lipoproteins, HDL metabolism, Metabolic Syndrome metabolism, Phospholipids metabolism
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HDL particles can be structurally modified in atherosclerotic disorders associated with low HDL cholesterol level (HDL-C). We studied whether the lipidome of the main phosphatidylcholine (PC), lysophosphatidylcholine (LPC) and sphingomyelin (SM) species of HDL2 and HDL3 subfractions is associated with premature coronary heart disease (CHD) or metabolic syndrome (MetS) in families where common low HDL-C predisposes to premature CHD. The lipidome was analyzed by LC-MS. Lysophosphatidylcholines were depleted of linoleic acid relative to more saturated and shorter-chained acids containing species in MetS compared with non-affected subjects: the ratio of palmitic to linoleic acid was elevated by more than 30%. A minor PC (16:0/16:1) was elevated (28-40%) in MetS. The contents of oleic acid containing PCs were elevated relative to linoleic acid containing PCs in MetS; the ratio of PC (16:0/18:1) to PC (16:0/18:2) was elevated by 11-16%. Certain PC and SM ratios, e.g., PC (18:0/20:3) to PC (16:0/18:2) and a minor SM 36:2 to an abundant SM 34:1, were higher (11-36%) in MetS and CHD. The fatty acid composition of certain LPCs and PCs displayed a characteristic pattern in MetS, enriched with palmitic, palmitoleic or oleic acids relative to linoleic acid. Certain PC and SM ratios related consistently to CHD and MetS.
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- 2021
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35. Gastrointestinal manifestations after Roux-en-Y gastric bypass surgery in individuals with and without type 2 diabetes.
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Härma MA, Adeshara K, Istomin N, Lehto M, Blaut M, Savolainen MJ, Hörkkö S, Groop PH, Koivukangas V, and Hukkanen J
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- Humans, Obesity, Prospective Studies, Weight Loss, Diabetes Mellitus, Type 2, Gastric Bypass adverse effects, Obesity, Morbid surgery
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Background: Roux-en-Y gastric bypass (RYGB) surgery is an effective treatment for obesity, which improves cardiovascular health and reduces the risk of premature mortality. However, some reports have suggested that RYGB may predispose patients to adverse health outcomes, such as inflammatory bowel disease (IBD) and colorectal cancer., Objectives: The present prospective study aimed to evaluate the impact of RYGB surgery on cardiovascular risk factors and gastrointestinal inflammation in individuals with and without type 2 diabetes (T2D)., Setting: University hospital setting in Finland., Methods: Blood and fecal samples were collected at baseline and 6 months after surgery from 30 individuals, of which 16 had T2D and 14 were nondiabetics. There were also single study visits for 6 healthy reference patients. Changes in cardiovascular risk factors, serum cholesterol, and triglycerides were investigated before and after surgery. Fecal samples were analyzed for calprotectin, anti-Saccharomyces cerevisiae immunoglobulin A antibodies (ASCA), active lipopolysaccharide (LPS) concentration, short-chain fatty acids (SCFAs), intestinal alkaline phosphatase activity, and methylglyoxal-hydro-imidazolone (MG-H1) protein adducts formation., Results: After RYGB, weight decreased on average -21.6% (-27.2 ± 7.8 kg), excess weight loss averaged 51%, and there were improvements in cardiovascular risk factors. Fecal calprotectin levels (P < .001), active LPS concentration (P < .002), ASCA (P < .02), and MG-H1 (P < .02) values increased significantly, whereas fecal SCFAs, especially acetate (P < .002) and butyrate (P < .03) levels, were significantly lowered., Conclusion: The intestinal homeostasis is altered after RYGB, with several fecal markers suggesting increased inflammation; however, clinical significance of the detected changes is currently uncertain. As chronic inflammation may predispose patients to adverse health effects, our findings may have relevance for the suggested association between RYGB and increased risks of incident IBD and colorectal cancer., (Copyright © 2020 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.)
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- 2021
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36. The Gaucher earlier diagnosis consensus point-scoring system (GED-C PSS): Evaluation of a prototype in Finnish Gaucher disease patients and feasibility of screening retrospective electronic health record data for the recognition of potential undiagnosed patients in Finland.
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Savolainen MJ, Karlsson A, Rohkimainen S, Toppila I, Lassenius MI, Falconi CV, Uusi-Rauva K, and Elomaa K
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Background: Gaucher disease (GD) is a rare inherited multiorgan disorder, yet a diagnosis can be significantly delayed due to a broad spectrum of symptoms and lack of disease awareness. Recently, the prototype of a GD point-scoring system (PSS) was established by the Gaucher Earlier Diagnosis Consensus (GED-C) initiative, and more recently, validated in Gaucher patients in UK. In our study, the original GED-C PSS was tested in Finnish GD patients. Furthermore, the feasibility of point scoring large electronic health record (EHR) data set by data mining to identify potential undiagnosed GD cases was evaluated., Methods: This biobank study was conducted in collaboration with two Finnish biobanks. Five previously diagnosed Finnish GD patients and ~ 170,000 adult biobank subjects were included in the study. The original PSS was locally adjusted due to data availability issues and applied to the Finnish EHR data representing special health care recordings., Results: All GD patients had high levels of the biomarker lyso-Gb1 and deleterious GBA mutations. One patient was a compound heterozygote with a novel variant, potentially pathogenic mutation. Finnish EHR data allowed the retrospective assessment of 27-30 of the 32 original GED-C signs/co-variables. Total point scores of GD patients were high but variable, 6-18.5 points per patient (based on the available data on 28-29 signs/co-variables per patient). All GD patients had been recorded with anaemia while only three patients had a record of splenomegaly. 0.72% of biobank subjects were assigned at least 6 points but none of these potential "GD suspects" had a point score as high as 18.5. Splenomegaly had been recorded for 0.25% of biobank subjects and was associated with variable point score distribution and co-occurring ICD-10 diagnoses., Discussion: This study provides an indicative GED-C PSS score range for confirmed GD patients, also representing potential mild cases, and demonstrates the feasibility of scoring Finnish EHR data by data mining in order to screen for undiagnosed GD patients. Further prioritisation of the "GD suspects" with more developed algorithms and data-mining approaches is needed., Funding: This study was funded by Shire (now part of Takeda)., Competing Interests: CVF and KE are employed by Takeda (Stockholm, Sweden and Helsinki, Finland, respectively). AK and SR are employed by Auria Biobank and Biobank Borealis, respectively, which received reimbursement from Shire (now part of Takeda), for the work done at Auria/Borealis. IT, KU, and MIL are employed by Medaffcon Oy (Espoo, Finland) which received funding from Shire (now part of Takeda), for conducting the study. MJS reports personal consultancy fees and travel grants from Shire (now part of Takeda) during the study, as well as grant support, paid to his institution, from several foundations for research outside the submitted work., (© 2021 The Authors.)
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- 2021
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37. Screening everyday health information literacy among four populations.
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Hirvonen N, Enwald H, Mayer AK, Korpelainen R, Pyky R, Salonurmi T, Savolainen MJ, Nengomasha C, Abankwah R, Uutoni W, Niemelä R, and Huotari ML
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- Adolescent, Analysis of Variance, Female, Finland, Humans, Information Literacy, Male, Young Adult, Health Literacy standards, Mass Screening methods
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Background: People face varying obstacles when interacting with health information in their everyday lives., Objectives: This study aims to examine the applicability of a multidimensional Everyday Health Information Literacy (EHIL) screening tool in detecting people with challenges in accessing, understanding, evaluating and using health information in everyday situations., Methods: Previously collected EHIL screening tool data from Finnish upper secondary school students (n = 217), Finnish young men (n = 1450), Finnish adults with an increased risk for metabolic syndrome (n = 559) and Namibian university students (n = 271) were reanalysed to examine the factorial structure of the tool and to compare the groups. Statistical analyses included exploratory factor analyses, calculation of mean factor scores and one-way analysis of variance., Results: A three factor structure ('awareness', 'access', 'assessment') for the screening tool was supported based on the Finnish samples. However, the Namibian data did not follow a similar structure. Significant differences in groupwise factor scores were discovered., Discussion: The findings suggest that the multidimensional EHIL screening tool can be used in pointing out areas where individuals or groups may need support., Conclusion: The tool may be useful to health information and library services workers when counselling or educating the public., (© 2020 The Authors Health Information and Libraries Journal published by John Wiley & Sons Ltd on behalf of Health Libraries Group.)
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- 2020
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38. Lifestyle counselling by persuasive information and communications technology reduces prevalence of metabolic syndrome in a dose-response manner: a randomized clinical trial (PrevMetSyn).
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Seo YG, Salonurmi T, Jokelainen T, Karppinen P, Teeriniemi AM, Han J, Park KH, Oinas-Kukkonen H, and Savolainen MJ
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- Adult, Female, Humans, Internet, Male, Middle Aged, Self-Help Groups, Counseling methods, Healthy Lifestyle, Metabolic Syndrome prevention & control, Obesity psychology
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Objectives: The aim was to investigate whether lifestyle changes produced by persuasive Information and Communication Technology (ICT) counselling can lower the prevalence of metabolic syndrome (MetS)., Methods: A total of 532 participants (20-60 years, body mass index 27-35 kg/m
2 ) were randomly assigned to six arms according to counselling type (no, short-term, or intensive) with or without ICT intervention. In this report the prevalence of MetS and its components were compared between no-ICT group and ICT group. Moreover, the frequency of the web information system usage was analysed for the number of logins, responses to weekly messages, and other record variables., Results: The ICT group had significantly lower proportion of MetS (33.7% vs. 45.3%, p = .022) than the no-ICT group at 2-year follow-up. In mixed model, the ICT group had lower prevalence of MetS than no-ICT group (OR 0.50, 95%CI 0.27-0.90) after intervention. The tertile with the highest utilization had 71% lower prevalence of MetS compared with the lowest utilization tertile or the no-ICT group., Conclusions: Web-based ICT is able to reduce the prevalence of MetS. In addition, higher utilization of the web information system is associated with a greater decrease in the prevalence of MetS. Key messages Our internet health behaviour change support system based on persuasive design and cognitive behaviour therapy markedly reduces metabolic syndrome in overweight/obese subjects. As a stand-alone tool it may save healthcare personnel resources as it is suitable at a low cost for both obese/overweight patients and the public at large.- Published
- 2020
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39. 4 β -Hydroxycholesterol Signals From the Liver to Regulate Peripheral Cholesterol Transporters.
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Salonurmi T, Nabil H, Ronkainen J, Hyötyläinen T, Hautajärvi H, Savolainen MJ, Tolonen A, Orešič M, Känsäkoski P, Rysä J, Hakkola J, and Hukkanen J
- Abstract
Activation of pregnane X receptor (PXR) elevates circulating 4 β -hydroxycholesterol (4βHC), an agonist of liver X receptor (LXR). PXR may also regulate 25-hydroxycholesterol and 27-hydroxycholesterol. Our aim was to elucidate the roles of PXR and oxysterols in the regulation of cholesterol transporters. We measured oxysterols in serum of volunteers dosed with PXR agonist rifampicin 600 mg/day versus placebo for a week and analyzed the expression of cholesterol transporters in mononuclear cells. The effect of 4 β HC on the transport of cholesterol and the expression of cholesterol transporters was studied in human primary monocyte-derived macrophages and foam cells in vitro . The expression of cholesterol transporters was measured also in rat tissues after dosing with a PXR agonist. The levels of 4 β HC were elevated, while 25-hydroxycholesterol and 27-hydroxycholesterol remained unchanged in volunteers dosed with rifampicin. The expression of ATP binding cassette transporter A1 (ABCA1) was induced in human mononuclear cells in vivo . The influx of cholesterol was repressed by 4 β HC, as was the expression of influx transporter lectin-like oxidized LDL receptor-1 in vitro . The cholesterol efflux and the expression of efflux transporters ABCA1 and ABCG1 were induced. The expression of inducible degrader of the LDL receptor was induced. In rats, PXR agonist increased circulating 4 β HC and expression of LXR targets in peripheral tissues, especially ABCA1 and ABCG1 in heart. In conclusion, PXR activation-elevated 4 β HC is a signaling molecule that represses cholesterol influx and induces efflux. The PXR-4 β HC-LXR pathway could link the hepatic xenobiotic exposure and the regulation of cholesterol transport in peripheral tissues., (Copyright © 2020 Salonurmi, Nabil, Ronkainen, Hyötyläinen, Hautajärvi, Savolainen, Tolonen, Orešič, Känsäkoski, Rysä, Hakkola and Hukkanen.)
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- 2020
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40. An Isocaloric Nordic Diet Modulates RELA and TNFRSF1A Gene Expression in Peripheral Blood Mononuclear Cells in Individuals with Metabolic Syndrome-A SYSDIET Sub-Study.
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Ulven SM, Holven KB, Rundblad A, Myhrstad MCW, Leder L, Dahlman I, Mello VD, Schwab U, Carlberg C, Pihlajamäki J, Hermansen K, Dragsted LO, Gunnarsdottir I, Cloetens L, Åkesson B, Rosqvist F, Hukkanen J, Herzig KH, Savolainen MJ, Risérus U, Thorsdottir I, Poutanen KS, Arner P, Uusitupa M, and Kolehmainen M
- Subjects
- Adult, Female, Gene Expression Regulation drug effects, Humans, Male, Middle Aged, Proto-Oncogene Mas, Receptors, Tumor Necrosis Factor, Type I genetics, Transcription Factor RelA genetics, Transcriptome, Diet Therapy, Leukocytes, Mononuclear drug effects, Metabolic Syndrome diet therapy, Receptors, Tumor Necrosis Factor, Type I metabolism, Transcription Factor RelA metabolism
- Abstract
A healthy dietary pattern is associated with a lower risk of metabolic syndrome (MetS) and reduced inflammation. To explore this at the molecular level, we investigated the effect of a Nordic diet (ND) on changes in the gene expression profiles of inflammatory and lipid-related genes in peripheral blood mononuclear cells (PBMCs) of individuals with MetS. We hypothesized that the intake of an ND compared to a control diet (CD) would alter the expression of inflammatory genes and genes involved in lipid metabolism. The individuals with MetS underwent an 18/24-week randomized intervention to compare a ND with a CD. Eighty-eight participants (66% women) were included in this sub-study of the larger SYSDIET study. Fasting PBMCs were collected before and after the intervention and changes in gene expression levels were measured using TaqMan Array Micro Fluidic Cards. Forty-eight pre-determined inflammatory and lipid related gene transcripts were analyzed. The expression level of the gene tumor necrosis factor (TNF) receptor superfamily member 1A (TNFRSF1A) was down-regulated ( p = 0.004), whereas the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) subunit, RELA proto-oncogene , was up-regulated ( p = 0.016) in the ND group compared to the CD group. In conclusion, intake of an ND in individuals with the MetS may affect immune function.
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- 2019
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41. Quantitative assessment of betainized compounds and associations with dietary and metabolic biomarkers in the randomized study of the healthy Nordic diet (SYSDIET).
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Tuomainen M, Kärkkäinen O, Leppänen J, Auriola S, Lehtonen M, Savolainen MJ, Hermansen K, Risérus U, Åkesson B, Thorsdottir I, Kolehmainen M, Uusitupa M, Poutanen K, Schwab U, and Hanhineva K
- Subjects
- Adult, Aged, Biomarkers, Female, Humans, Male, Mass Spectrometry, Middle Aged, Pipecolic Acids blood, Proline analogs & derivatives, Proline blood, Betaine blood, Diet, Dietary Fiber administration & dosage, Metabolic Syndrome blood, Whole Grains
- Abstract
Background: Recently, a group of betainized compounds have been suggested to play a role in health effects in relation to a whole-grain-rich diet., Objectives: The aims of this study were to develop a quantitative mass spectrometric method for selected betainized compounds in human plasma, and to investigate their association with nutrient intake and measures of metabolic health in participants of the SYSDIET study., Methods: The SYSDIET study was a controlled randomized intervention including individuals with metabolic syndrome, where the healthy Nordic diet (HND) group increased intakes of whole grains, canola oil, berries, and fish, whereas the control diet (CD) group consumed low-fiber cereal products, milk fat, and restricted amounts of fish and berries. A quantitative LC combined with triple quadrupole MS method for betainized compounds was developed and applied to fasting plasma samples from baseline (week 0) and the end of the intervention (week 18 or 24). Concentrations of betainized compounds were correlated with intakes of selected nutrients and fiber and measures of metabolic health., Results: Pipecolic acid betaine (PAB) concentrations were significantly higher in the HND group than in the CD group (P = 0.00032) at the end of the intervention and correlated directly (P < 0.0001) with intakes of dietary fiber (r = 0.376) and a biomarker related to whole-grain rye intake, namely the ratio of alkylresorcinol C17:0 to C21:0 (r = 0.442). PAB was associated inversely with fasting plasma insulin consistently at the beginning and at the end of the intervention (P < 0.001, r = -0.300; P < 0.01, r = -0.250, respectively), as well as IL-1 receptor antagonist (P < 0.01, r = -0.232 at the beginning; P < 0.01, r = -0.236 at the end) and serum LDL/HDL cholesterol (P < 0.01, r = -0.239 at the beginning; P < 0.01, r = -0.241 at the end)., Conclusions: Among adults with the metabolic syndrome, PAB plasma concentrations were associated with fasting insulin, inflammation, and lipids and were significantly increased with adoption of the HND. Further studies are needed to clarify the biological functions of betainized compounds. This trial was registered at clinicaltrials.gov as NCT00992641., (Copyright © American Society for Nutrition 2019.)
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- 2019
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42. GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI.
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Couto Alves A, De Silva NMG, Karhunen V, Sovio U, Das S, Taal HR, Warrington NM, Lewin AM, Kaakinen M, Cousminer DL, Thiering E, Timpson NJ, Bond TA, Lowry E, Brown CD, Estivill X, Lindi V, Bradfield JP, Geller F, Speed D, Coin LJM, Loh M, Barton SJ, Beilin LJ, Bisgaard H, Bønnelykke K, Alili R, Hatoum IJ, Schramm K, Cartwright R, Charles MA, Salerno V, Clément K, Claringbould AAJ, van Duijn CM, Moltchanova E, Eriksson JG, Elks C, Feenstra B, Flexeder C, Franks S, Frayling TM, Freathy RM, Elliott P, Widén E, Hakonarson H, Hattersley AT, Rodriguez A, Banterle M, Heinrich J, Heude B, Holloway JW, Hofman A, Hyppönen E, Inskip H, Kaplan LM, Hedman AK, Läärä E, Prokisch H, Grallert H, Lakka TA, Lawlor DA, Melbye M, Ahluwalia TS, Marinelli M, Millwood IY, Palmer LJ, Pennell CE, Perry JR, Ring SM, Savolainen MJ, Rivadeneira F, Standl M, Sunyer J, Tiesler CMT, Uitterlinden AG, Schierding W, O'Sullivan JM, Prokopenko I, Herzig KH, Smith GD, O'Reilly P, Felix JF, Buxton JL, Blakemore AIF, Ong KK, Jaddoe VWV, Grant SFA, Sebert S, McCarthy MI, and Järvelin MR
- Subjects
- Adaptor Proteins, Signal Transducing genetics, Adult, Child, Female, Genetic Predisposition to Disease, Genomics, Growth Charts, Humans, Infant, Intracellular Signaling Peptides and Proteins, Longitudinal Studies, Male, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Receptors, Leptin genetics, Body Mass Index, Genetic Association Studies, Genome-Wide Association Study, Quantitative Trait Loci, Quantitative Trait, Heritable
- Abstract
Early childhood growth patterns are associated with adult health, yet the genetic factors and the developmental stages involved are not fully understood. Here, we combine genome-wide association studies with modeling of longitudinal growth traits to study the genetics of infant and child growth, followed by functional, pathway, genetic correlation, risk score, and colocalization analyses to determine how developmental timings, molecular pathways, and genetic determinants of these traits overlap with those of adult health. We found a robust overlap between the genetics of child and adult body mass index (BMI), with variants associated with adult BMI acting as early as 4 to 6 years old. However, we demonstrated a completely distinct genetic makeup for peak BMI during infancy, influenced by variation at the LEPR/LEPROT locus. These findings suggest that different genetic factors control infant and child BMI. In light of the obesity epidemic, these findings are important to inform the timing and targets of prevention strategies., (Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).)
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- 2019
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43. Healthy Nordic Diet Modulates the Expression of Genes Related to Mitochondrial Function and Immune Response in Peripheral Blood Mononuclear Cells from Subjects with Metabolic Syndrome-A SYSDIET Sub-Study.
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Myhrstad MCW, de Mello VD, Dahlman I, Kolehmainen M, Paananen J, Rundblad A, Carlberg C, Olstad OK, Pihlajamäki J, Holven KB, Hermansen K, Dragsted LO, Gunnarsdottir I, Cloetens L, Storm MU, Åkesson B, Rosqvist F, Hukkanen J, Herzig KH, Risérus U, Thorsdottir I, Poutanen KS, Savolainen MJ, Schwab U, Arner P, Uusitupa M, and Ulven SM
- Abstract
Scope: To explore the effect of a healthy Nordic diet on the global transcriptome profile in peripheral blood mononuclear cells (PBMCs) of subjects with metabolic syndrome., Methods and Results: Subjects with metabolic syndrome undergo a 18/24 week randomized intervention study comparing an isocaloric healthy Nordic diet with an average habitual Nordic diet served as control (SYSDIET study). Altogether, 68 participants are included. PBMCs are obtained before and after intervention and total RNA is subjected to global transcriptome analysis. 1302 probe sets are differentially expressed between the diet groups (p-value < 0.05). Twenty-five of these are significantly regulated (FDR q-value < 0.25) and are mainly involved in mitochondrial function, cell growth, and cell adhesion. The list of 1302 regulated probe sets is subjected to functional analyses. Pathways and processes involved in the mitochondrial electron transport chain, immune response, and cell cycle are downregulated in the healthy Nordic diet group. In addition, gene transcripts with common motifs for 42 transcription factors, including NFR1, NFR2, and NF-κB, are downregulated in the healthy Nordic diet group., Conclusion: These results suggest that benefits of a healthy diet may be mediated by improved mitochondrial function and reduced inflammation., (© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)
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- 2019
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44. Prospective, randomized, double-blinded, placebo-controlled study on safety and tolerability of the krill powder product in overweight subjects with moderately elevated blood pressure.
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Sarkkinen ES, Savolainen MJ, Taurio J, Marvola T, and Bruheim I
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- Adult, Aged, Animals, Dietary Supplements analysis, Docosahexaenoic Acids pharmacology, Double-Blind Method, Eicosapentaenoic Acid pharmacology, Female, Humans, Male, Middle Aged, Prospective Studies, Seafood analysis, Dietary Supplements adverse effects, Euphausiacea chemistry, Hypertension complications, Overweight complications, Seafood adverse effects
- Abstract
Background: Krill powder is rich in bioactive ingredients such as eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), phospholipids, protein and astaxanthin. Containing dominantly EPA, it is considered to be effective in lowering lipids, foremost serum triglycerides and LDL cholesterol. Krill-derived protein hydrolysates/peptides may have positive effect on blood pressure and astaxanthin has anti-oxidative and anti-inflammatory properties. Thus, krill powder has a lot of potential in improving lipid and metabolic profile and reinforcing the activity of the antioxidant system. However, randomized clinical trials on krill powder are scarce and systematic data of krill meal on human safety is limited. Some of the earlier studies have reported several, non-serious adverse events, mostly related to gastrointestinal tract, but systematic sufficiently powered study on safety is lacking. The aim of this study was to collect data on safety and tolerability of krill powder in humans and simultaneously gain efficacy data by measuring the risk factors for cardiovascular disease., Methods: The study was a randomised, double-blinded, placebo-controlled intervention study with 35 overweight subjects with mildly or moderately elevated blood pressure, who took 4 g krill oil powder or 4 g of placebo during an 8-week follow-up period. The study consisted of a pre-screening, screening, day 0 baseline (randomization visit) and three follow-up visits on days 14, 28 and 56. The reported adverse events in the groups were compared as primary endpoint and haematological safety parameters and changes in systolic and diastolic pressure and blood total and lipoprotein lipids were measured as secondary end points., Results: There were in total 80 reported adverse events during the follow-up; 50 in placebo and 30 in krill powder group. Gastrointestinal symptoms (flatulence, heartburn and diarrhea) were the most commonly reported among those probably related to the test products. No serious adverse events were reported. The mean value of all measured hematology variables remained within the reference values in all study subject and no significant changes were observed in blood pressure or lipid values., Conclusions: The results seem to indicate that using krill powder as a source for EPA and DHA is safe in therapeutic dose and the risk of adverse events, let alone serious ones, is low., Trial Registration: ClinicalTrials.gov, NCT03112083 , retrospectively registered.
- Published
- 2018
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45. A randomized clinical trial of the effectiveness of a Web-based health behaviour change support system and group lifestyle counselling on body weight loss in overweight and obese subjects: 2-year outcomes.
- Author
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Teeriniemi AM, Salonurmi T, Jokelainen T, Vähänikkilä H, Alahäivälä T, Karppinen P, Enwald H, Huotari ML, Laitinen J, Oinas-Kukkonen H, and Savolainen MJ
- Subjects
- Adult, Female, Humans, Internet, Life Style, Male, Middle Aged, Treatment Outcome, Young Adult, Counseling methods, Health Promotion methods, Obesity therapy, Overweight therapy, Weight Reduction Programs methods
- Abstract
Background: Weight loss can prevent and treat obesity-related diseases. However, lost weight is usually regained, returning to the initial or even higher levels in the long term. New counselling methods for maintaining lifestyle changes are urgently needed., Objectives: An information and communication technology-based health behaviour change support system (HBCSS) that utilizes persuasive design and methods of cognitive behavioural therapy (CBT) was developed with the aim of helping individuals to maintain body weight. The purpose of this study was to assess whether CBT-based group counselling combined with HBCSS or HBCSS alone helps to maintain improved lifestyle changes needed for weight loss compared to self-help guidance or usual care., Methods: A randomized lifestyle intervention for overweight or obese persons (BMI 27-35 kg m
-2 and age 20-60 years), recruited from the population registry in the city of Oulu, Finland, was conducted. This study comprised six randomly assigned study arms: CBT-based group counselling (eight sessions led by a nutritionist), self-help guidance-based group counselling (SHG; two sessions led by a nurse) and control, each with or without HCBSS, for 52 weeks. Subjects visited the study centre for anthropometric measurements, blood sample collection and to complete questionnaires at baseline, 12 and 24 months. The main outcome was weight change from baseline to 12 months and from baseline to 24 months., Results: Of the 1065 volunteers screened for the study, 532 subjects (51% men) met the inclusion criteria and were enrolled. The retention rate was 80% at 12 months and 70% at 24 months. CBT-based counselling with HBCSS produced the largest weight reduction without any significant weight gain during follow-up. The mean weight change in this arm was 4.1% [95% confidence interval (CI), -5.4 to -2.8, P < 0.001) at 12 months and 3.4% (95% CI, -4.8 to -2.0, P < 0.001) at 24 months. HBCSS even without any group counselling reduced the mean weight by 1.6% (95% CI, -2.9 to -0.3, P = 0.015) at 24 months., Conclusion: The combination of CBT-based group counselling and HBCSS-based weight management is feasible for overweight or obese individuals. Moreover, HBCSS alone could be disseminated to the population at large as an effective means of treating obesity., (© 2018 The Authors. Journal of Internal Medicine published by John Wiley & Sons Ltd on behalf of Association for Publication of The Journal of Internal Medicine.)- Published
- 2018
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46. Opportunities and challenges of behavior change support systems for enhancing habit formation: A qualitative study.
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Karppinen P, Oinas-Kukkonen H, Alahäivälä T, Jokelainen T, Teeriniemi AM, Salonurmi T, and Savolainen MJ
- Subjects
- Adult, Algorithms, Cognition, Counseling, Female, Finland, Humans, Internet, Life Style, Male, Middle Aged, Monitoring, Physiologic, Patient Participation, Persuasive Communication, Qualitative Research, Software, Young Adult, Habits, Health Behavior, Health Promotion methods, Metabolic Syndrome prevention & control, Patient Education as Topic methods, Weight Reduction Programs
- Abstract
The formation of healthy habits is considered to play a fundamental role in health behavior change. A variety of studies on Health Behavior Change Support Systems (HBCSS) have been conducted recently, in which individuals use such systems to influence their own attitudes or behaviors to achieve their personal goals. However, comparatively much less research has been devoted to studying how the users of these systems form habits with the help of HBCSS, or to understanding how to design these systems to support habit formation., Objective: The objective of this article is to study HBCSS user experiences regarding habit formation through an intervention study targeted at establishing a healthier lifestyle. This study also aims to map habit formation stages, as suggested by Lally and Gardner, with the Persuasive System Design (PSD) model. The application domain is the prevention of metabolic syndrome, in which 5% weight loss can significantly reduce the prevalence of the syndrome., Methods: This study employs a web-based HBCSS named Onnikka, a lifestyle intervention designed for the prevention of metabolic syndrome for participants who are at risk of developing a metabolic syndrome or are already suffering from it. The system under investigation was designed according to the principles of the PSD model and Behavior Change Support System framework. Lally and Gardner's research on the stages of habit formation were used to study the extent to which the Onnikka system was able to enhance the development of new habits. A total of 43 Onnikka users were interviewed for this study during and after a 52-week intervention period. The research approach employed here was hermeneutics, which leans ontologically toward the social construction of reality, gained through language, consciousness, and shared meaning. In addition, the system's login data and participants' weight measurements were utilized to build an interpretation of the results., Results: The findings of this study suggest that IT habits appear to have a strong linkage with use adherence, whereas lifestyle habits did not seem to be directly related to the 5% weight loss among study participants. Moreover, habit formation stages provide a possible explanation for why self-monitoring, reminders, and tunneling were perceived as especially valuable features in this study., Conclusions: For sustainable weight management, holistic e-health interventions are required, and the PSD model offers a practical approach for designing and developing them. Recognizing the stages of habit formation provides additional valuable guidance for designing systems that help shape an individual's habits., (Copyright © 2018. Published by Elsevier Inc.)
- Published
- 2018
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47. Susceptibility of low-density lipoprotein particles to aggregate depends on particle lipidome, is modifiable, and associates with future cardiovascular deaths.
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Ruuth M, Nguyen SD, Vihervaara T, Hilvo M, Laajala TD, Kondadi PK, Gisterå A, Lähteenmäki H, Kittilä T, Huusko J, Uusitupa M, Schwab U, Savolainen MJ, Sinisalo J, Lokki ML, Nieminen MS, Jula A, Perola M, Ylä-Herttula S, Rudel L, Öörni A, Baumann M, Baruch A, Laaksonen R, Ketelhuth DFJ, Aittokallio T, Jauhiainen M, Käkelä R, Borén J, Williams KJ, Kovanen PT, and Öörni K
- Subjects
- Adult, Animals, Female, Humans, Lipids, Male, Mice, Middle Aged, Prognosis, Risk Assessment, Coronary Artery Disease blood, Coronary Artery Disease mortality, Lipoproteins, LDL blood, Lipoproteins, LDL physiology
- Abstract
Aims: Low-density lipoprotein (LDL) particles cause atherosclerotic cardiovascular disease (ASCVD) through their retention, modification, and accumulation within the arterial intima. High plasma concentrations of LDL drive this disease, but LDL quality may also contribute. Here, we focused on the intrinsic propensity of LDL to aggregate upon modification. We examined whether inter-individual differences in this quality are linked with LDL lipid composition and coronary artery disease (CAD) death, and basic mechanisms for plaque growth and destabilization., Methods and Results: We developed a novel, reproducible method to assess the susceptibility of LDL particles to aggregate during lipolysis induced ex vivo by human recombinant secretory sphingomyelinase. Among patients with an established CAD, we found that the presence of aggregation-prone LDL was predictive of future cardiovascular deaths, independently of conventional risk factors. Aggregation-prone LDL contained more sphingolipids and less phosphatidylcholines than did aggregation-resistant LDL. Three interventions in animal models to rationally alter LDL composition lowered its susceptibility to aggregate and slowed atherosclerosis. Similar compositional changes induced in humans by PCSK9 inhibition or healthy diet also lowered LDL aggregation susceptibility. Aggregated LDL in vitro activated macrophages and T cells, two key cell types involved in plaque progression and rupture., Conclusion: Our results identify the susceptibility of LDL to aggregate as a novel measurable and modifiable factor in the progression of human ASCVD.
- Published
- 2018
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48. Ceramide stearic to palmitic acid ratio predicts incident diabetes.
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Hilvo M, Salonurmi T, Havulinna AS, Kauhanen D, Pedersen ER, Tell GS, Meyer K, Teeriniemi AM, Laatikainen T, Jousilahti P, Savolainen MJ, Nygård O, Salomaa V, and Laaksonen R
- Subjects
- Aged, Angina Pectoris complications, Angina Pectoris diagnosis, Body Mass Index, Cohort Studies, Coronary Angiography, Diabetes Mellitus blood, Female, Finland, Humans, Insulin Resistance, Male, Mass Spectrometry, Metabolic Syndrome metabolism, Norway, Risk Factors, Weight Loss, Ceramides blood, Diabetes Mellitus diagnosis, Palmitic Acid blood, Stearic Acids blood
- Abstract
Aims/hypothesis: Ceramide lipids have a role in the development of insulin resistance, diabetes and risk of cardiovascular disease. Here we investigated four ceramides and their ratios to find the best predictors of incident diabetes., Methods: A validated mass-spectrometric method was applied to measure Cer(d18:1/16:0), Cer(d18:1/18:0), Cer(d18:1/24:0) and Cer(d18:1/24:1) from serum or plasma samples. These ceramides were analysed in a population-based risk factor study (FINRISK 2002, n = 8045), in a cohort of participants undergoing elective coronary angiography for suspected stable angina pectoris (Western Norway Coronary Angiography Cohort [WECAC], n = 3344) and in an intervention trial investigating improved methods of lifestyle modification for individuals at high risk of the metabolic syndrome (Prevent Metabolic Syndrome [PrevMetSyn], n = 371). Diabetes risk score models were developed to estimate the 10 year risk of incident diabetes., Results: Analysis in FINRISK 2002 showed that the Cer(d18:1/18:0)/Cer(d18:1/16:0) ceramide ratio was predictive of incident diabetes (HR per SD 2.23, 95% CI 2.05, 2.42), and remained significant after adjustment for several risk factors, including BMI, fasting glucose and HbA
1c (HR 1.34, 95% CI 1.14, 1.57). The finding was validated in the WECAC study (unadjusted HR 1.81, 95% CI 1.53, 2.14; adjusted HR 1.39, 95% CI 1.16, 1.66). In the intervention trial, the ceramide ratio and diabetes risk scores significantly decreased in individuals who had 5% or more weight loss., Conclusions/interpretation: The Cer(d18:1/18:0)/Cer(d18:1/16:0) ratio is an independent predictive biomarker for incident diabetes, and may be modulated by lifestyle intervention.- Published
- 2018
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49. Impaired HDL2-mediated cholesterol efflux is associated with metabolic syndrome in families with early onset coronary heart disease and low HDL-cholesterol level.
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Paavola T, Kuusisto S, Jauhiainen M, Kakko S, Kangas-Kontio T, Metso J, Soininen P, Ala-Korpela M, Bloigu R, Hannuksela ML, Savolainen MJ, and Salonurmi T
- Subjects
- Adult, Age of Onset, Aged, Coronary Artery Disease blood, Female, Finland epidemiology, Humans, Male, Metabolic Syndrome blood, Middle Aged, Prevalence, Risk Factors, Cholesterol, HDL blood, Coronary Artery Disease epidemiology, Lipoproteins, HDL blood, Metabolic Syndrome epidemiology
- Abstract
Objective: The potential of high-density lipoproteins (HDL) to facilitate cholesterol removal from arterial foam cells is a key function of HDL. We studied whether cholesterol efflux to serum and HDL subfractions is impaired in subjects with early coronary heart disease (CHD) or metabolic syndrome (MetS) in families where a low HDL-cholesterol level (HDL-C) predisposes to early CHD., Methods: HDL subfractions were isolated from plasma by sequential ultracentrifugation. THP-1 macrophages loaded with acetyl-LDL were used in the assay of cholesterol efflux to total HDL, HDL2, HDL3 or serum., Results: While cholesterol efflux to serum, total HDL and HDL3 was unchanged, the efflux to HDL2 was 14% lower in subjects with MetS than in subjects without MetS (p<0.001). The efflux to HDL2 was associated with components of MetS such as plasma HDL-C (r = 0.76 in men and r = 0.56 in women, p<0.001 for both). The efflux to HDL2 was reduced in men with early CHD (p<0.01) only in conjunction with their low HDL-C. The phospholipid content of HDL2 particles was a major correlate with the efflux to HDL2 (r = 0.70, p<0.001). A low ratio of HDL2 to total HDL was associated with MetS (p<0.001)., Conclusion: Our results indicate that impaired efflux to HDL2 is a functional feature of the low HDL-C state and MetS in families where these risk factors predispose to early CHD. The efflux to HDL2 related to the phospholipid content of HDL2 particles but the phospholipid content did not account for the impaired efflux in cardiometabolic disease, where a combination of low level and poor quality of HDL2 was observed.
- Published
- 2017
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50. Fto-Deficiency Affects the Gene and MicroRNA Expression Involved in Brown Adipogenesis and Browning of White Adipose Tissue in Mice.
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Ronkainen J, Mondini E, Cinti F, Cinti S, Sebért S, Savolainen MJ, and Salonurmi T
- Subjects
- Adipose Tissue, Brown pathology, Adipose Tissue, White pathology, Alpha-Ketoglutarate-Dependent Dioxygenase FTO deficiency, Animals, Biomarkers metabolism, CCAAT-Enhancer-Binding Protein-beta genetics, CCAAT-Enhancer-Binding Protein-beta metabolism, DNA-Binding Proteins genetics, DNA-Binding Proteins metabolism, Diet, High-Fat, Energy Metabolism genetics, Gene Expression Regulation, Male, Mice, Mice, Knockout, MicroRNAs metabolism, Obesity etiology, Obesity metabolism, Obesity pathology, Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha genetics, Peroxisome Proliferator-Activated Receptor Gamma Coactivator 1-alpha metabolism, RNA, Messenger genetics, RNA, Messenger metabolism, Receptors, Adrenergic, beta-3 genetics, Receptors, Adrenergic, beta-3 metabolism, Signal Transduction, Transcription Factors genetics, Transcription Factors metabolism, Uncoupling Protein 1 genetics, Uncoupling Protein 1 metabolism, Adipogenesis genetics, Adipose Tissue, Brown metabolism, Adipose Tissue, White metabolism, Alpha-Ketoglutarate-Dependent Dioxygenase FTO genetics, MicroRNAs genetics, Obesity genetics
- Abstract
Genetic variants in the fat mass- and obesity-associated gene Fto are linked to the onset of obesity in humans. The causal role of the FTO protein in obesity is supported by evidence obtained from transgenic mice; however, the underlying molecular pathways pertaining to the role of FTO in obesity have yet to be established. In this study, we investigate the Fto gene in mouse brown adipose tissue and in the browning process of white adipose tissue. We analyze distinct structural and molecular factors in brown and white fat depots of Fto -deficient mice under normal and obesogenic conditions. We report significant alterations in the morphology of adipose tissue depots and the expression of mRNA and microRNA related to brown adipogenesis and metabolism in Fto -deficient mice. Furthermore, we show that high-fat feeding does not attenuate the browning process of Fto -deficient white adipose tissue as observed in wild-type tissue, suggesting a triggering effect of the FTO pathways by the dietary environment., Competing Interests: The authors declare no conflict of interest.
- Published
- 2016
- Full Text
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