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1. Life expectancy associated with different ages at diagnosis of type 2 diabetes in high-income countries: 23 million person-years of observation

Author: Kaptoge, S, Seshasai, SRK, Sun, L, Walker, M, Bolton, T, Spackman, S, Ataklte, F, Willeit, P, Bell, S, Burgess, S, Pennells, L, Altay, S, Assmann, G, Ben-Shlomo, Y, Best, LG, Björkelund, C, Blazer, DG, Brenner, H, Brunner, EJ, Dagenais, GR, Cooper, JA, Cooper, C, Crespo, CJ, Cushman, M, D'Agostino, RB, Sr, Daimon, M, Daniels, LB, Danker, R, Davidson, KW, de Jongh, RT, Donfrancesco, C, Ducimetiere, P, Elders, PJM, Engström, G, Ford, I, Gallacher, I, Bakker, SJL, Goldbourt, U, de La Cámara, G, Grimsgaard, S, Gudnason, V, Hansson, PO, Imano, H, Jukema, JW, Kabrhel, C, Kauhanen, J, Kavousi, M, Kiechl, S, Knuiman, MW, Kromhout, D, Krumholz, HM, Kuller, LH, Laatikainen, T, Lowler, DA, Meyer, HE, Mukamal, K, Nietert, PJ, Ninomiya, T, Nitsch, D, Nordestgaard, BG, Palmieri, L, Price, JF, Ridker, PM, Sun, Q, Rosengren, A, Roussel, R, Sakurai, M, Salomaa, V, Schöttker, B, Shaw, JE, Strandberg, TE, Sundström, J, Tolonen, H, Tverdal, A, Verschuren, WMM, Völzke, H, Wagenknecht, L, Wallace, RB, Wannamethee, SG, Wareham, NJ, Wassertheil-Smoller, S, Yamagishi, K, Yeap, BB, Harrison, S, Inouye, M, Griffin, S, Butterworth, AS, Wood, AM, Thompson, SG, Sattar, N, Danesh, J, Di Angelantonio, E, Tipping, RW, Russell, S, Johansen, M, Bancks, MP, Mongraw-Chaffin, M, Magliano, D, Barr, ELM, Zimmet, PZ, Whincup, PH, Willeit, J, Leitner, C, Lawlor, DA, Elwood, P, Sutherland, SE, Hunt, KJ, Selmer, RM, Haheim, LL, Ariansen, I, Tybjaer-Hansen, A, Frikkle-Schmidt, R, Langsted, A, Lo Noce, C, Balkau, B, Bonnet, F, Fumeron, F, Pablos, DL, Ferro, CR, Morales, TG, Mclachlan, S, Guralnik, J, Khaw, KT, Holleczek, B, Stocker, H, Nissinen, A, Vartiainen, E, Jousilahti, P, Harald, K, Massaro, JM, Pencina, M, Lyass, A, Susa, S, Oizumi, T, Kayama, T, Chetrit, A, Roth, J, Orenstein, L, Welin, L, Svärdsudd, K, Lissner, L, Hange, D, Mehlig, K, Tilvis, RS, Dennison, E, Westbury, L, Norman, PE, Almeida, OP, Hankey, GJ, Hata, J, Shibata, M, Furuta, Y, Bom, MT, Rutters, F, Muilwijk, M, Kraft, P, Lindstrom, S, Turman, C, Kiyama, M, Kitamura, A, Gerber, Y, Salonen, JT, van Schoor, LN, van Zutphen, EM, Melander, O, Psaty, BM, Blaha, M, de Boer, IH, Kronmal, RA, Grandits, G, Shin, H-C, Albertorio, JR, Gillum, RF, Hu, FB, Humphries, S, Hill- Briggs, F, Vrany, E, Butler, M, Schwartz, JE, Iso, H, Amouyel, P, Arveiler, D, Ferrieres, J, Gansevoort, RT, de Boer, R, Kieneker, L, Trompet, S, Kearney, P, Cantin, B, Després, JP, Lamarche, B, Laughlin, G, McEvoy, L, Aspelund, T, Thorsson, B, Sigurdsson, G, Tilly, M, Ikram, MA, Dorr, M, Schipf, S, Fretts, AM, Umans, JG, Ali, T, Shara, N, Davey-Smith, G, Can, G, Yüksel, H, Özkan, U, Nakagawa, H, Morikawa, Y, Ishizaki, M, Njølstad, I, Wilsgaard, T, Mathiesen, E, Buring, J, Cook, N, Arndt, V, Rothenbacher, D, Manson, J, Tinker, L, Shipley, M, Tabak, AG, Kivimaki, M, Packard, C, Robertson, M, Feskens, E, and Geleijnse, M
Published: 2023
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2. Prediabetes, participation in the English National Health Service Diabetes Prevention Programme, and associations with COVID-19-related mortality: A whole population study

Author: Barron, E, Sharp, SJ, Khunti, K, Bakhai, C, Wareham, NJ, Valabhji, J, Barron, E, Sharp, SJ, Khunti, K, Bakhai, C, Wareham, NJ, and Valabhji, J
Abstract: AIMS: To assess the effects of non-diabetic hyperglycaemia (NDH, also known as pre-diabetes), including the impact of the NHS Diabetes Prevention Programme (NHS DPP), on COVID-19-related mortality during the pandemic. METHODS: This study included all 61,438,225 individuals registered with General Practices in England and alive on 1st March 2020. We assessed COVID-19-related mortality in the 2,290,280(3.7 %) individuals with diagnosed NDH between March 2020 and February 2022 compared to those without diagnosed NDH or diabetes using Cox regression to adjust for demographic factors and cardiovascular comorbidities. Individuals with diagnosed NDH were further sub-categorised based on their contact with the NHS DPP (N = 376,590). Analyses were stratified by age (years) (<50, 50-69 and ≥ 70). RESULTS: There were 158,070 COVID-19 deaths; 17,280(11 %) for people with diagnosed NDH. The adjusted hazard ratio (HR) was 0.95(0.93-0.96),p < 0.001 for those with diagnosed NDH compared to those without diagnosed diabetes or NDH. By age (years), HRs were, 2.53(2.23-2.88),p < 0.001 for < 50, 1.29(1.24-1.35),p < 0.001 for 50-69 and 0.87(0.85-0.89),p < 0.001 for ≥ 70. NHS DPP attendance was associated with lower COVID-19 mortality with a dose-response relationship with engagement. CONCLUSIONS: Younger people with diagnosed NDH were at higher relative risk of COVID-19 mortality. Attendance at the NHS DPP was associated with significantly lower COVID-19-related mortality.
Published: 2024

3. A meta-analysis of previous falls and subsequent fracture risk in cohort studies.

Author: Vandenput, L, Johansson, H, McCloskey, EV, Liu, E, Schini, M, Åkesson, KE, Anderson, FA, Azagra, R, Bager, CL, Beaudart, C, Bischoff-Ferrari, HA, Biver, E, Bruyère, O, Cauley, JA, Center, JR, Chapurlat, R, Christiansen, C, Cooper, C, Crandall, CJ, Cummings, SR, da Silva, JAP, Dawson-Hughes, B, Diez-Perez, A, Dufour, AB, Eisman, JA, Elders, PJM, Ferrari, S, Fujita, Y, Fujiwara, S, Glüer, C-C, Goldshtein, I, Goltzman, D, Gudnason, V, Hall, J, Hans, D, Hoff, M, Hollick, RJ, Huisman, M, Iki, M, Ish-Shalom, S, Jones, G, Karlsson, MK, Khosla, S, Kiel, DP, Koh, W-P, Koromani, F, Kotowicz, MA, Kröger, H, Kwok, T, Lamy, O, Langhammer, A, Larijani, B, Lippuner, K, McGuigan, FEA, Mellström, D, Merlijn, T, Nguyen, TV, Nordström, A, Nordström, P, O'Neill, TW, Obermayer-Pietsch, B, Ohlsson, C, Orwoll, ES, Pasco, JA, Rivadeneira, F, Schott, A-M, Shiroma, EJ, Siggeirsdottir, K, Simonsick, EM, Sornay-Rendu, E, Sund, R, Swart, KMA, Szulc, P, Tamaki, J, Torgerson, DJ, van Schoor, NM, van Staa, TP, Vila, J, Wareham, NJ, Wright, NC, Yoshimura, N, Zillikens, M, Zwart, M, Harvey, NC, Lorentzon, M, Leslie, WD, Kanis, JA, Vandenput, L, Johansson, H, McCloskey, EV, Liu, E, Schini, M, Åkesson, KE, Anderson, FA, Azagra, R, Bager, CL, Beaudart, C, Bischoff-Ferrari, HA, Biver, E, Bruyère, O, Cauley, JA, Center, JR, Chapurlat, R, Christiansen, C, Cooper, C, Crandall, CJ, Cummings, SR, da Silva, JAP, Dawson-Hughes, B, Diez-Perez, A, Dufour, AB, Eisman, JA, Elders, PJM, Ferrari, S, Fujita, Y, Fujiwara, S, Glüer, C-C, Goldshtein, I, Goltzman, D, Gudnason, V, Hall, J, Hans, D, Hoff, M, Hollick, RJ, Huisman, M, Iki, M, Ish-Shalom, S, Jones, G, Karlsson, MK, Khosla, S, Kiel, DP, Koh, W-P, Koromani, F, Kotowicz, MA, Kröger, H, Kwok, T, Lamy, O, Langhammer, A, Larijani, B, Lippuner, K, McGuigan, FEA, Mellström, D, Merlijn, T, Nguyen, TV, Nordström, A, Nordström, P, O'Neill, TW, Obermayer-Pietsch, B, Ohlsson, C, Orwoll, ES, Pasco, JA, Rivadeneira, F, Schott, A-M, Shiroma, EJ, Siggeirsdottir, K, Simonsick, EM, Sornay-Rendu, E, Sund, R, Swart, KMA, Szulc, P, Tamaki, J, Torgerson, DJ, van Schoor, NM, van Staa, TP, Vila, J, Wareham, NJ, Wright, NC, Yoshimura, N, Zillikens, M, Zwart, M, Harvey, NC, Lorentzon, M, Leslie, WD, and Kanis, JA
Abstract: UNLABELLED: The relationship between self-reported falls and fracture risk was estimated in an international meta-analysis of individual-level data from 46 prospective cohorts. Previous falls were associated with an increased fracture risk in women and men and should be considered as an additional risk factor in the FRAX® algorithm. INTRODUCTION: Previous falls are a well-documented risk factor for subsequent fracture but have not yet been incorporated into the FRAX algorithm. The aim of this study was to evaluate, in an international meta-analysis, the association between previous falls and subsequent fracture risk and its relation to sex, age, duration of follow-up, and bone mineral density (BMD). METHODS: The resource comprised 906,359 women and men (66.9% female) from 46 prospective cohorts. Previous falls were uniformly defined as any fall occurring during the previous year in 43 cohorts; the remaining three cohorts had a different question construct. The association between previous falls and fracture risk (any clinical fracture, osteoporotic fracture, major osteoporotic fracture, and hip fracture) was examined using an extension of the Poisson regression model in each cohort and each sex, followed by random-effects meta-analyses of the weighted beta coefficients. RESULTS: Falls in the past year were reported in 21.4% of individuals. During a follow-up of 9,102,207 person-years, 87,352 fractures occurred of which 19,509 were hip fractures. A previous fall was associated with a significantly increased risk of any clinical fracture both in women (hazard ratio (HR) 1.42, 95% confidence interval (CI) 1.33-1.51) and men (HR 1.53, 95% CI 1.41-1.67). The HRs were of similar magnitude for osteoporotic, major osteoporotic fracture, and hip fracture. Sex significantly modified the association between previous fall and fracture risk, with predictive values being higher in men than in women (e.g., for major osteoporotic fracture, HR 1.53 (95% CI 1.27-1.84) in men vs. HR 1
Published: 2024

4. Understanding the genetic complexity of puberty timing across the allele frequency spectrum

Author: Kentistou, KA, Kaisinger, LR, Stankovic, S, Vaudel, M, Mendes de Oliveira, E, Messina, A, Walters, RG, Liu, X, Busch, AS, Helgason, H, Thompson, DJ, Santoni, F, Petricek, KM, Zouaghi, Y, Huang-Doran, I, Gudbjartsson, DF, Bratland, E, Lin, K, Gardner, EJ, Zhao, Y, Jia, RY, Terao, C, Riggan, MJ, Bolla, MK, Yazdanpanah, M, Yazdanpanah, N, Bradfield, JP, Broer, L, Campbell, A, Chasman, DI, Cousminer, DL, Franceschini, N, Franke, LH, Girotto, G, He, C, Järvelin, M-R, Joshi, PK, Kamatani, Y, Karlsson, R, Luan, J, Lunetta, KL, Mägi, R, Mangino, M, Medland, SE, Meisinger, C, Noordam, R, Nutile, T, Concas, MP, Polašek, O, Porcu, E, Ring, SM, Sala, C, Smith, AV, Tanaka, T, van der Most, PJ, Vitart, V, Wang, CA, Willemsen, G, Zygmunt, M, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Auer, PL, Barnes, CLK, Beckmann, MW, Berrington de Gonzalez, A, Bogdanova, NV, Bojesen, SE, Brenner, H, Buring, JE, Canzian, F, Chang-Claude, J, Couch, FJ, Cox, A, Crisponi, L, Czene, K, Daly, MB, Demerath, EW, Dennis, J, Devilee, P, De Vivo, I, Dörk, T, Dunning, AM, Dwek, M, Eriksson, JG, Fasching, PA, Fernandez-Rhodes, L, Ferreli, L, Fletcher, O, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, González-Neira, A, Grallert, H, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Hakonarson, H, Hart, RJ, Hickey, M, Hooning, MJ, Hoppe, R, Hopper, JL, Hottenga, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, Jernström, H, John, EM, Karasik, D, Khusnutdinova, EK, Kristensen, VN, Lacey, JV, Lambrechts, D, Launer, LJ, Lind, PA, Lindblom, A, Magnusson, PKE, Mannermaa, A, McCarthy, MI, Meitinger, T, Menni, C, Michailidou, K, Millwood, IY, Milne, RL, Montgomery, GW, Nevanlinna, H, Nolte, IM, Nyholt, DR, Obi, N, O'Brien, KM, Offit, K, Oldehinkel, AJ, Ostrowski, SR, Palotie, A, Pedersen, OB, Peters, A, Pianigiani, G, Plaseska-Karanfilska, D, Pouta, A, Pozarickij, A, Radice, P, Rennert, G, Rosendaal, FR, Ruggiero, D, Saloustros, E, Sandler, DP, Schipf, S, Schmidt, CO, Schmidt, MK, Small, K, Spedicati, B, Stampfer, M, Stone, J, Tamimi, RM, Teras, LR, Tikkanen, E, Turman, C, Vachon, CM, Wang, Q, Winqvist, R, Wolk, A, Zemel, BS, Zheng, W, van Dijk, KW, Alizadeh, BZ, Bandinelli, S, Boerwinkle, E, Boomsma, DI, Ciullo, M, Chenevix-Trench, G, Cucca, F, Esko, T, Gieger, C, Grant, SFA, Gudnason, V, Hayward, C, Kolčić, I, Kraft, P, Lawlor, DA, Martin, NG, Nøhr, EA, Pedersen, NL, Pennell, CE, Ridker, PM, Robino, A, Snieder, H, Sovio, U, Spector, TD, Stöckl, D, Sudlow, C, Timpson, NJ, Toniolo, D, Uitterlinden, A, Ulivi, S, Völzke, H, Wareham, NJ, Widen, E, Wilson, JF, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, PDP, Li, L, Easton, DF, Njølstad, PR, Sulem, P, Murabito, JM, Murray, A, Manousaki, D, Juul, A, Erikstrup, C, Stefansson, K, Horikoshi, M, Chen, Z, Farooqi, IS, Pitteloud, N, Johansson, S, Day, FR, Perry, JRB, Ong, KK, Kentistou, KA, Kaisinger, LR, Stankovic, S, Vaudel, M, Mendes de Oliveira, E, Messina, A, Walters, RG, Liu, X, Busch, AS, Helgason, H, Thompson, DJ, Santoni, F, Petricek, KM, Zouaghi, Y, Huang-Doran, I, Gudbjartsson, DF, Bratland, E, Lin, K, Gardner, EJ, Zhao, Y, Jia, RY, Terao, C, Riggan, MJ, Bolla, MK, Yazdanpanah, M, Yazdanpanah, N, Bradfield, JP, Broer, L, Campbell, A, Chasman, DI, Cousminer, DL, Franceschini, N, Franke, LH, Girotto, G, He, C, Järvelin, M-R, Joshi, PK, Kamatani, Y, Karlsson, R, Luan, J, Lunetta, KL, Mägi, R, Mangino, M, Medland, SE, Meisinger, C, Noordam, R, Nutile, T, Concas, MP, Polašek, O, Porcu, E, Ring, SM, Sala, C, Smith, AV, Tanaka, T, van der Most, PJ, Vitart, V, Wang, CA, Willemsen, G, Zygmunt, M, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Auer, PL, Barnes, CLK, Beckmann, MW, Berrington de Gonzalez, A, Bogdanova, NV, Bojesen, SE, Brenner, H, Buring, JE, Canzian, F, Chang-Claude, J, Couch, FJ, Cox, A, Crisponi, L, Czene, K, Daly, MB, Demerath, EW, Dennis, J, Devilee, P, De Vivo, I, Dörk, T, Dunning, AM, Dwek, M, Eriksson, JG, Fasching, PA, Fernandez-Rhodes, L, Ferreli, L, Fletcher, O, Gago-Dominguez, M, García-Closas, M, García-Sáenz, JA, González-Neira, A, Grallert, H, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Hakonarson, H, Hart, RJ, Hickey, M, Hooning, MJ, Hoppe, R, Hopper, JL, Hottenga, J-J, Hu, FB, Huebner, H, Hunter, DJ, ABCTB Investigators, Jernström, H, John, EM, Karasik, D, Khusnutdinova, EK, Kristensen, VN, Lacey, JV, Lambrechts, D, Launer, LJ, Lind, PA, Lindblom, A, Magnusson, PKE, Mannermaa, A, McCarthy, MI, Meitinger, T, Menni, C, Michailidou, K, Millwood, IY, Milne, RL, Montgomery, GW, Nevanlinna, H, Nolte, IM, Nyholt, DR, Obi, N, O'Brien, KM, Offit, K, Oldehinkel, AJ, Ostrowski, SR, Palotie, A, Pedersen, OB, Peters, A, Pianigiani, G, Plaseska-Karanfilska, D, Pouta, A, Pozarickij, A, Radice, P, Rennert, G, Rosendaal, FR, Ruggiero, D, Saloustros, E, Sandler, DP, Schipf, S, Schmidt, CO, Schmidt, MK, Small, K, Spedicati, B, Stampfer, M, Stone, J, Tamimi, RM, Teras, LR, Tikkanen, E, Turman, C, Vachon, CM, Wang, Q, Winqvist, R, Wolk, A, Zemel, BS, Zheng, W, van Dijk, KW, Alizadeh, BZ, Bandinelli, S, Boerwinkle, E, Boomsma, DI, Ciullo, M, Chenevix-Trench, G, Cucca, F, Esko, T, Gieger, C, Grant, SFA, Gudnason, V, Hayward, C, Kolčić, I, Kraft, P, Lawlor, DA, Martin, NG, Nøhr, EA, Pedersen, NL, Pennell, CE, Ridker, PM, Robino, A, Snieder, H, Sovio, U, Spector, TD, Stöckl, D, Sudlow, C, Timpson, NJ, Toniolo, D, Uitterlinden, A, Ulivi, S, Völzke, H, Wareham, NJ, Widen, E, Wilson, JF, Lifelines Cohort Study, Danish Blood Donor Study, Ovarian Cancer Association Consortium, Breast Cancer Association Consortium, Biobank Japan Project, China Kadoorie Biobank Collaborative Group, Pharoah, PDP, Li, L, Easton, DF, Njølstad, PR, Sulem, P, Murabito, JM, Murray, A, Manousaki, D, Juul, A, Erikstrup, C, Stefansson, K, Horikoshi, M, Chen, Z, Farooqi, IS, Pitteloud, N, Johansson, S, Day, FR, Perry, JRB, and Ong, KK
Abstract: Pubertal timing varies considerably and is associated with later health outcomes. We performed multi-ancestry genetic analyses on ~800,000 women, identifying 1,080 signals for age at menarche. Collectively, these explained 11% of trait variance in an independent sample. Women at the top and bottom 1% of polygenic risk exhibited ~11 and ~14-fold higher risks of delayed and precocious puberty, respectively. We identified several genes harboring rare loss-of-function variants in ~200,000 women, including variants in ZNF483, which abolished the impact of polygenic risk. Variant-to-gene mapping approaches and mouse gonadotropin-releasing hormone neuron RNA sequencing implicated 665 genes, including an uncharacterized G-protein-coupled receptor, GPR83, which amplified the signaling of MC3R, a key nutritional sensor. Shared signals with menopause timing at genes involved in DNA damage response suggest that the ovarian reserve might signal centrally to trigger puberty. We also highlight body size-dependent and independent mechanisms that potentially link reproductive timing to later life disease.
Published: 2024

5. Genome-wide association analysis identifies six new loci associated with forced vital capacity

Author: Loth, DW, Artigas, MS, Gharib, SA, Wain, LV, Franceschini, N, Koch, B, Pottinger, TD, Smith, AV, Duan, Q, Oldmeadow, C, Lee, MK, Strachan, DP, James, AL, Huffman, JE, Vitart, V, Ramasamy, A, Wareham, NJ, Kaprio, J, Wang, XQ, Trochet, H, Kähönen, M, Flexeder, C, Albrecht, E, Lopez, LM, De Jong, K, Thyagarajan, B, Alves, AC, Enroth, S, Omenaas, E, Joshi, PK, Fall, T, Viñuela, A, Launer, LJ, Loehr, LR, Fornage, M, Li, G, Wilk, JB, Tang, W, Manichaikul, A, Lahousse, L, Harris, TB, North, KE, Rudnicka, AR, Hui, J, Gu, X, Lumley, T, Wright, AF, Hastie, ND, Campbell, S, Kumar, R, Pin, I, Scott, RA, Pietiläinen, KH, Surakka, I, Liu, Y, Holliday, EG, Schulz, H, Heinrich, J, Davies, G, Vonk, JM, Wojczynski, M, Pouta, A, Johansson, A, Wild, SH, Ingelsson, E, Rivadeneira, F, Völzke, H, Hysi, PG, Eiriksdottir, G, Morrison, AC, Rotter, JI, Gao, W, Postma, DS, White, WB, Rich, SS, Hofman, A, Aspelund, T, Couper, D, Smith, LJ, Psaty, BM, Lohman, K, Burchard, EG, Uitterlinden, AG, Garcia, M, Joubert, BR, McArdle, WL, Musk, AB, Hansel, N, Heckbert, SR, Zgaga, L, Van Meurs, JBJ, Navarro, P, Rudan, I, Oh, YM, Redline, S, Jarvis, DL, Zhao, JH, Rantanen, T, O'Connor, GT, and Ripatti, S
Subjects: Developmental Biology, Medical and Health Sciences, Biological Sciences
Abstract: Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 × 10-8) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.© 2014 Nature America, Inc. All rights reserved.
Published: 2014

6. Who attends a UK diabetes screening programme? Findings from the ADDITION-Cambridge study

Author: Sargeant, LA, Simmons, RK, Barling, RS, Butler, R, Williams, KM, Prevost, AT, Kinmonth, AL, Wareham, NJ, and Griffin, SJ
Subjects: Adult, Blood Glucose, Male, Diabetes Mellitus, Type 2, Risk Factors, Cost-Benefit Analysis, Humans, Mass Screening, Patient Compliance, Female, Middle Aged, United Kingdom, Aged
Abstract: AIMS: One of the factors influencing the cost-effectiveness of population screening for Type 2 diabetes may be uptake. We examined attendance and practice- and individual-level factors influencing uptake at each stage of a diabetes screening programme in general practice. METHODS: A stepwise screening programme was undertaken among 135, 825 people aged 40-69 years without known diabetes in 49 general practices in East England. The programme included a score based on routinely available data (age, sex, body mass index and prescribed medication) to identify those at high risk, who were offered random capillary blood glucose (RBG) and glycosylated haemoglobin tests. Those screening positive were offered fasting capillary blood glucose (FBG) and confirmatory oral glucose tolerance tests (OGTT). RESULTS: There were 33 539 high-risk individuals invited for a RBG screening test; 24 654 (74%) attended. Ninety-four per cent attended the follow-up FBG test and 82% the diagnostic OGTT. Seventy per cent of individuals completed the screening programme. Practices with higher general practitioner staff complements and those located in more deprived areas had lower uptake for RBG and FBG tests. Male sex and a higher body mass index were associated with lower attendance for RBG testing. Older age, prescription of antihypertensive medication and a higher risk score were associated with higher attendance for FBG and RBG tests. CONCLUSIONS: High attendance rates can be achieved by targeted stepwise screening of individuals assessed as high risk by data routinely available in general practice. Different strategies may be required to increase initial attendance, ensure completion of the screening programme, and reduce the risk that screening increases health inequalities.
Published: 2023
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7. Altered respiratory function is associated with increased metabolic risk, independently of adiposity, fitness and physical activity

Author: Steele, RM, Finucane, FM, Simmons, RK, Griffin, SJ, Wareham, NJ, Ekelund, U, and ProActive Research Team
Subjects: Adult, Male, Vital Capacity, Middle Aged, Motor Activity, Respiratory Function Tests, Diabetes Mellitus, Type 2, Humans, Female, Insulin Resistance, Epidemiologic Methods, Lung, Risk Reduction Behavior, Adiposity
Abstract: AIMS: Reduced lung function is associated with an adverse metabolic risk profile, even after adjusting for body fatness. However, previous observations may have been confounded by aerobic fitness and physical activity. This study aimed to examine the association between lung function and both metabolic risk and insulin resistance in a cohort of White British adults with a family history of Type 2 diabetes, and to explore the extent to which these associations are independent of body fatness, aerobic fitness (VO(2max)) and objectively measured physical activity. METHODS: Adults (n = 320, mean age 40.4 +/- 6.0 years) underwent measurement of physical activity energy expenditure (PAEE), spirometry [forced expiratory volume in 1 s (FEV(1))] and forced vital capacity (FVC), aerobic fitness (predicted VO(2max)), and anthropometric and metabolic status at baseline and again after 1 year (n = 257) in the ProActive trial. Clustered metabolic risk was calculated by summing standardized values for triglycerides, fasting insulin, fasting glucose, blood pressure and the inverse of high-density lipoprotein-cholesterol. A cross-sectional analysis using linear regression with repeated measures was performed. RESULTS: Both FEV(1) and FVC were inversely and statistically significantly associated with metabolic risk and insulin resistance after adjusting for age, sex, smoking status, height, PAEE and fitness. The associations with metabolic risk remained significant after adjusting for measures of body fatness, but those with insulin resistance did not. CONCLUSIONS: Reduced lung function was associated with increased metabolic risk in this cohort of carefully characterized at-risk individuals. This association was independent of overall and central body fatness, objectively measured physical activity and aerobic fitness.
Published: 2023
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8. MC3R links nutritional state to childhood growth and the timing of puberty

Author: Lam, BYH, Williamson, A, Finer, S, Day, FR, Tadross, JA, Gonçalves Soares, A, Wade, K, Sweeney, P, Bedenbaugh, MN, Porter, DT, Melvin, A, Ellacott, KLJ, Lippert, RN, Buller, S, Rosmaninho-Salgado, J, Dowsett, GKC, Ridley, KE, Xu, Z, Cimino, I, Rimmington, D, Rainbow, K, Duckett, K, Holmqvist, S, Khan, A, Dai, X, Bochukova, EG, Genes & Health Research Team, Trembath, RC, Martin, HC, Coll, AP, Rowitch, DH, Wareham, NJ, Van Heel, DA, Timpson, N, Simerly, RB, Ong, KK, Cone, RD, Langenberg, C, Perry, JRB, Yeo, GS, O'Rahilly, S, Lam, BYH [0000-0002-3638-9025], Williamson, A [0000-0002-7599-9301], Finer, S [0000-0002-2684-4653], Day, FR [0000-0003-3789-7651], Tadross, JA [0000-0002-8424-1252], Wade, K [0000-0003-3362-6280], Porter, DT [0000-0002-8042-3251], Cimino, I [0000-0003-1397-5408], Holmqvist, S [0000-0001-6709-6666], Khan, A [0000-0002-5189-6906], Martin, HC [0000-0002-4454-9084], Rowitch, DH [0000-0002-0079-0060], Wareham, NJ [0000-0003-1422-2993], van Heel, DA [0000-0002-0637-2265], Timpson, N [0000-0002-7141-9189], Simerly, RB [0000-0001-5840-0152], Ong, KK [0000-0003-4689-7530], Cone, RD [0000-0003-3333-5651], Langenberg, C [0000-0002-5017-7344], Perry, JRB [0000-0001-6483-3771], Yeo, GS [0000-0001-8823-3615], O'Rahilly, S [0000-0003-2199-4449], and Apollo - University of Cambridge Repository
Subjects: Aged, 80 and over, Male, Menarche, Time Factors, Adolescent, Homozygote, Puberty, Hypothalamus, Nutritional Status, Estrous Cycle, Weight Gain, Melanocortins, Mice, Child Development, Phenotype, Animals, Humans, Female, Sexual Maturation, Insulin-Like Growth Factor I, Child, Receptor, Melanocortin, Type 3
Abstract: The state of somatic energy stores in metazoans is communicated to the brain, which regulates key aspects of behaviour, growth, nutrient partitioning and development1. The central melanocortin system acts through melanocortin 4 receptor (MC4R) to control appetite, food intake and energy expenditure2. Here we present evidence that MC3R regulates the timing of sexual maturation, the rate of linear growth and the accrual of lean mass, which are all energy-sensitive processes. We found that humans who carry loss-of-function mutations in MC3R, including a rare homozygote individual, have a later onset of puberty. Consistent with previous findings in mice, they also had reduced linear growth, lean mass and circulating levels of IGF1. Mice lacking Mc3r had delayed sexual maturation and an insensitivity of reproductive cycle length to nutritional perturbation. The expression of Mc3r is enriched in hypothalamic neurons that control reproduction and growth, and expression increases during postnatal development in a manner that is consistent with a role in the regulation of sexual maturation. These findings suggest a bifurcating model of nutrient sensing by the central melanocortin pathway with signalling through MC4R controlling the acquisition and retention of calories, whereas signalling through MC3R primarily regulates the disposition of calories into growth, lean mass and the timing of sexual maturation.
Published: 2021
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9. Stroke genetics informs drug discovery and risk prediction across ancestries

Author: Mishra, A, Malik, R, Hachiya, T, Jurgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, Y-C, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, H-J, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Carcel-Marquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Borte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, Y-L, Havulinna, AS, Hopewell, JC, Hyacinth, HI, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, K-J, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O'Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, Rich, SS, Rosand, J, Sabatine, MS, Sacco, RL, Saleheen, D, Sandset, EC, Salomaa, V, Sargurupremraj, M, Sasaki, M, Satizabal, CL, Schmidt, CO, Shimizu, A, Smith, NL, Sloane, KL, Sutoh, Y, Sun, YV, Tanno, K, Tiedt, S, Tatlisumak, T, Torres-Aguila, NP, Tiwari, HK, Tregouet, D-A, Trompet, S, Tuladhar, AM, Tybjaerg-Hansen, A, van Vugt, M, Vibo, R, Verma, SS, Wiggins, KL, Wennberg, P, Woo, D, Wilson, PWF, Xu, H, Yang, Q, Yoon, K, Millwood, IY, Gieger, C, Ninomiya, T, Grabe, HJ, Jukema, JW, Rissanen, IL, Strbian, D, Kim, YJ, Chen, P-H, Mayerhofer, E, Howson, JMM, Irvin, MR, Adams, H, Wassertheil-Smoller, S, Christensen, K, Ikram, MA, Rundek, T, Worrall, BB, Lathrop, GM, Riaz, M, Simonsick, EM, Korv, J, Franca, PHC, Zand, R, Prasad, K, Frikke-Schmidt, R, de Leeuw, F-E, Liman, T, Haeusler, KG, Ruigrok, YM, Heuschmann, PU, Longstreth, WT, Jung, KJ, Bastarache, L, Pare, G, Damrauer, SM, Chasman, DI, Rotter, JI, Anderson, CD, Zwart, J-A, Niiranen, TJ, Fornage, M, Liaw, Y-P, Seshadri, S, Fernandez-Cadenas, I, Walters, RG, Ruff, CT, Owolabi, MO, Huffman, JE, Milani, L, Kamatani, Y, Dichgans, M, Debette, S, Lee, J-M, Cheng, Y-C, Meschia, JF, Chen, WM, Sale, MM, Zonderman, AB, Evans, MK, Wilson, JG, Correa, A, Traylor, M, Lewis, CM, Reiner, A, Haessler, J, Langefeld, CD, Gottesman, RF, Yaffe, K, Liu, YM, Kooperberg, C, Lange, LA, Furie, KL, Arnett, DK, Benavente, OR, Grewal, RP, Peddareddygari, LR, Hveem, K, Lindstrom, S, Wang, L, Smith, EN, Gordon, W, Vlieg, AVH, de Andrade, M, Brody, JA, Pattee, JW, Brumpton, BM, Suchon, P, Chen, M-H, Frazer, KA, Turman, C, Germain, M, MacDonald, J, Braekkan, SK, Armasu, SM, Pankratz, N, Jackson, RD, Nielsen, JB, Giulianin, F, Puurunen, MK, Ibrahim, M, Heckbert, SR, Bammler, TK, McCauley, BM, Taylor, KD, Pankow, JS, Reiner, AP, Gabrielsen, ME, Deleuze, J-F, O'Donnell, CJ, Kim, J, McKnight, B, Kraft, P, Hansen, J-B, Rosendaal, FR, Heit, JA, Tang, W, Morange, P-E, Johnson, AD, Kabrhel, C, van Dijk, EJ, Koudstaal, PJ, Luijckx, G-J, Nederkoorn, PJ, van Oostenbrugge, RJ, Visser, MC, Wermer, MJH, Kappelle, LJ, Esko, T, Metspalu, A, Magi, R, Nelis, M, Levi, CR, Maguire, J, Jimenez-Conde, J, Sharma, P, Sudlow, CLM, Rannikmae, K, Schmidt, R, Slowik, A, Pera, J, Thijs, VNS, Lindgren, AG, Ilinca, A, Melander, O, Engstrom, G, Rexrode, KM, Rothwell, PM, Stanne, TM, Johnson, JA, Danesh, J, Butterworth, AS, Heitsch, L, Boncoraglio, GB, Kubo, M, Pezzini, A, Rolfs, A, Giese, A-K, Weir, D, Ross, OA, Lemmons, R, Soderholm, M, Cushman, M, Jood, K, McDonough, CW, Bell, S, Linkohr, B, Lee, T-H, Putaala, J, Lopez, OL, Carty, CL, Jian, X, Schminke, U, Cullell, N, Delgado, P, Ibanez, L, Krupinski, J, Lioutas, V, Matsuda, K, Montaner, J, Muino, E, Roquer, J, Sarnowski, C, Sattar, N, Sibolt, G, Teumer, A, Rutten-Jacobs, L, Kanai, M, Gretarsdottir, S, Rost, NS, Yusuf, S, Almgren, P, Ay, H, Bevan, S, Brown, RD, Carrera, C, Buring, JE, Chen, W-M, Cotlarciuc, I, de Bakker, PIW, DeStefano, AL, den Hoed, M, Duan, Q, Engelter, ST, Falcone, GJ, Gustafsson, S, Hassan, A, Holliday, EG, Howard, G, Hsu, F-C, Ingelsson, E, Harris, TB, Kissela, BM, Kleindorfer, DO, Langenberg, C, Leys, D, Lin, W-Y, Lorentzen, E, Magnusson, PK, McArdle, PF, Pulit, SL, Rice, K, Sakaue, S, Sapkota, BR, Tanislav, C, Thorleifsson, G, Thorsteinsdottir, U, Tzourio, C, van Duijn, CM, Walters, M, Wareham, NJ, Amin, N, Aparicio, HJ, Attia, J, Beiser, AS, Berr, C, Bustamante, M, Caso, V, Choi, SH, Chowhan, A, Dartigues, J-F, Delavaran, H, Dorr, M, Ford, I, Gurpreet, WS, Hamsten, A, Hozawa, A, Ingelsson, M, Iwasaki, M, Kaffashian, S, Kalra, L, Kjartansson, O, Kloss, M, Labovitz, DL, Laurie, CC, Lind, L, Lindgren, CM, Makoto, H, Minegishi, N, Morris, AP, Mueller-Nurasyid, M, Norrving, B, Ogishima, S, Parati, EA, Pedersen, NL, Perola, M, Jousilahti, P, Pileggi, S, Rabionet, R, Riba-Llena, I, Ribases, M, Romero, JR, Rudd, AG, Sarin, A-P, Sarju, R, Satoh, M, Sawada, N, Sigurdsson, A, Smith, A, Stine, OC, Stott, DJ, Strauch, K, Takai, T, Tanaka, H, Touze, E, Tsugane, S, Uitterlinden, AG, Valdimarsson, EM, van der Lee, SJ, Wakai, K, Williams, SR, Wolfe, CDA, Wong, Q, Yamaji, T, Sanghera, DK, Stefansson, K, Martinez-Majander, N, Sobue, K, Soriano-Tarraga, C, Volzke, H, Akpa, O, Sarfo, FS, Akpalu, A, Obiako, R, Wahab, K, Osaigbovo, G, Owolabi, L, Komolafe, M, Jenkins, C, Arulogun, O, Ogbole, G, Adeoye, AM, Akinyemi, J, Agunloye, A, Fakunle, AG, Uvere, E, Olalere, A, Adebajo, OJ, Chen, J, Clarke, R, Collins, R, Guo, Y, Wang, C, Lv, J, Peto, R, Chen, Y, Fairhurst-Hunter, Z, Hill, M, Pozarickij, A, Schmidt, D, Stevens, B, Turnbull, I, Yu, C, Nagai, A, Murakami, Y, Shiroma, EJ, Sigurdsson, S, Ghanbari, M, Boerwinkle, E, Fongang, B, Wang, R, Ikram, MK, Volker, U, de Laat, KF, van Norden, AGW, de Kort, PL, Vermeer, SE, Brouwers, PJAM, Gons, RAR, den Heijer, T, van Dijk, GW, van Rooij, FGW, Aamodt, AH, Skogholt, AH, Willer, CJ, Heuch, I, Hagen, K, Fritsche, LG, Pedersen, LM, Ellekjaer, H, Zhou, W, Martinsen, AE, Kristoffersen, ES, Thomas, LF, Kleinschnitz, C, Frantz, S, Ungethum, K, Gallego-Fabrega, C, Lledos, M, Llucia-Carol, L, Sobrino, T, Campos, F, Castillo, J, Freijo, M, Arenillas, JF, Obach, V, Alvarez-Sabin, J, Molina, CA, Ribo, M, Munoz-Narbona, L, Lopez-Cancio, E, Millan, M, Diaz-Navarro, R, Vives-Bauza, C, Serrano-Heras, G, Segura, T, Dhar, R, Delgado-Mederos, R, Prats-Sanchez, L, Camps-Renom, P, Blay, N, Sumoy, L, Marti-Fabregas, J, Schnohr, P, Jensen, GB, Benn, M, Afzal, S, Kamstrup, PR, van Setten, J, van der Laan, SW, Vonk, JMJ, Kim, B-J, Curtze, S, Tiainen, M, Kinnunen, J, Menon, V, Sung, YJ, Saillour-Glenisson, F, Gravel, S, Mishra, A, Malik, R, Hachiya, T, Jurgenson, T, Namba, S, Posner, DC, Kamanu, FK, Koido, M, Le Grand, Q, Shi, M, He, Y, Georgakis, MK, Caro, I, Krebs, K, Liaw, Y-C, Vaura, FC, Lin, K, Winsvold, BS, Srinivasasainagendra, V, Parodi, L, Bae, H-J, Chauhan, G, Chong, MR, Tomppo, L, Akinyemi, R, Roshchupkin, GV, Habib, N, Jee, YH, Thomassen, JQ, Abedi, V, Carcel-Marquez, J, Nygaard, M, Leonard, HL, Yang, C, Yonova-Doing, E, Knol, MJ, Lewis, AJ, Judy, RL, Ago, T, Amouyel, P, Armstrong, ND, Bakker, MK, Bartz, TM, Bennett, DA, Bis, JC, Bordes, C, Borte, S, Cain, A, Ridker, PM, Cho, K, Chen, Z, Cruchaga, C, Cole, JW, de Jager, PL, de Cid, R, Endres, M, Ferreira, LE, Geerlings, MI, Gasca, NC, Gudnason, V, Hata, J, He, J, Heath, AK, Ho, Y-L, Havulinna, AS, Hopewell, JC, Hyacinth, HI, Inouye, M, Jacob, MA, Jeon, CE, Jern, C, Kamouchi, M, Keene, KL, Kitazono, T, Kittner, SJ, Konuma, T, Kumar, A, Lacaze, P, Launer, LJ, Lee, K-J, Lepik, K, Li, J, Li, L, Manichaikul, A, Markus, HS, Marston, NA, Meitinger, T, Mitchell, BD, Montellano, FA, Morisaki, T, Mosley, TH, Nalls, MA, Nordestgaard, BG, O'Donnell, MJ, Okada, Y, Onland-Moret, NC, Ovbiagele, B, Peters, A, Psaty, BM, Rich, SS, Rosand, J, Sabatine, MS, Sacco, RL, Saleheen, D, Sandset, EC, Salomaa, V, Sargurupremraj, M, Sasaki, M, Satizabal, CL, Schmidt, CO, Shimizu, A, Smith, NL, Sloane, KL, Sutoh, Y, Sun, YV, Tanno, K, Tiedt, S, Tatlisumak, T, Torres-Aguila, NP, Tiwari, HK, Tregouet, D-A, Trompet, S, Tuladhar, AM, Tybjaerg-Hansen, A, van Vugt, M, Vibo, R, Verma, SS, Wiggins, KL, Wennberg, P, Woo, D, Wilson, PWF, Xu, H, Yang, Q, Yoon, K, Millwood, IY, Gieger, C, Ninomiya, T, Grabe, HJ, Jukema, JW, Rissanen, IL, Strbian, D, Kim, YJ, Chen, P-H, Mayerhofer, E, Howson, JMM, Irvin, MR, Adams, H, Wassertheil-Smoller, S, Christensen, K, Ikram, MA, Rundek, T, Worrall, BB, Lathrop, GM, Riaz, M, Simonsick, EM, Korv, J, Franca, PHC, Zand, R, Prasad, K, Frikke-Schmidt, R, de Leeuw, F-E, Liman, T, Haeusler, KG, Ruigrok, YM, Heuschmann, PU, Longstreth, WT, Jung, KJ, Bastarache, L, Pare, G, Damrauer, SM, Chasman, DI, Rotter, JI, Anderson, CD, Zwart, J-A, Niiranen, TJ, Fornage, M, Liaw, Y-P, Seshadri, S, Fernandez-Cadenas, I, Walters, RG, Ruff, CT, Owolabi, MO, Huffman, JE, Milani, L, Kamatani, Y, Dichgans, M, Debette, S, Lee, J-M, Cheng, Y-C, Meschia, JF, Chen, WM, Sale, MM, Zonderman, AB, Evans, MK, Wilson, JG, Correa, A, Traylor, M, Lewis, CM, Reiner, A, Haessler, J, Langefeld, CD, Gottesman, RF, Yaffe, K, Liu, YM, Kooperberg, C, Lange, LA, Furie, KL, Arnett, DK, Benavente, OR, Grewal, RP, Peddareddygari, LR, Hveem, K, Lindstrom, S, Wang, L, Smith, EN, Gordon, W, Vlieg, AVH, de Andrade, M, Brody, JA, Pattee, JW, Brumpton, BM, Suchon, P, Chen, M-H, Frazer, KA, Turman, C, Germain, M, MacDonald, J, Braekkan, SK, Armasu, SM, Pankratz, N, Jackson, RD, Nielsen, JB, Giulianin, F, Puurunen, MK, Ibrahim, M, Heckbert, SR, Bammler, TK, McCauley, BM, Taylor, KD, Pankow, JS, Reiner, AP, Gabrielsen, ME, Deleuze, J-F, O'Donnell, CJ, Kim, J, McKnight, B, Kraft, P, Hansen, J-B, Rosendaal, FR, Heit, JA, Tang, W, Morange, P-E, Johnson, AD, Kabrhel, C, van Dijk, EJ, Koudstaal, PJ, Luijckx, G-J, Nederkoorn, PJ, van Oostenbrugge, RJ, Visser, MC, Wermer, MJH, Kappelle, LJ, Esko, T, Metspalu, A, Magi, R, Nelis, M, Levi, CR, Maguire, J, Jimenez-Conde, J, Sharma, P, Sudlow, CLM, Rannikmae, K, Schmidt, R, Slowik, A, Pera, J, Thijs, VNS, Lindgren, AG, Ilinca, A, Melander, O, Engstrom, G, Rexrode, KM, Rothwell, PM, Stanne, TM, Johnson, JA, Danesh, J, Butterworth, AS, Heitsch, L, Boncoraglio, GB, Kubo, M, Pezzini, A, Rolfs, A, Giese, A-K, Weir, D, Ross, OA, Lemmons, R, Soderholm, M, Cushman, M, Jood, K, McDonough, CW, Bell, S, Linkohr, B, Lee, T-H, Putaala, J, Lopez, OL, Carty, CL, Jian, X, Schminke, U, Cullell, N, Delgado, P, Ibanez, L, Krupinski, J, Lioutas, V, Matsuda, K, Montaner, J, Muino, E, Roquer, J, Sarnowski, C, Sattar, N, Sibolt, G, Teumer, A, Rutten-Jacobs, L, Kanai, M, Gretarsdottir, S, Rost, NS, Yusuf, S, Almgren, P, Ay, H, Bevan, S, Brown, RD, Carrera, C, Buring, JE, Chen, W-M, Cotlarciuc, I, de Bakker, PIW, DeStefano, AL, den Hoed, M, Duan, Q, Engelter, ST, Falcone, GJ, Gustafsson, S, Hassan, A, Holliday, EG, Howard, G, Hsu, F-C, Ingelsson, E, Harris, TB, Kissela, BM, Kleindorfer, DO, Langenberg, C, Leys, D, Lin, W-Y, Lorentzen, E, Magnusson, PK, McArdle, PF, Pulit, SL, Rice, K, Sakaue, S, Sapkota, BR, Tanislav, C, Thorleifsson, G, Thorsteinsdottir, U, Tzourio, C, van Duijn, CM, Walters, M, Wareham, NJ, Amin, N, Aparicio, HJ, Attia, J, Beiser, AS, Berr, C, Bustamante, M, Caso, V, Choi, SH, Chowhan, A, Dartigues, J-F, Delavaran, H, Dorr, M, Ford, I, Gurpreet, WS, Hamsten, A, Hozawa, A, Ingelsson, M, Iwasaki, M, Kaffashian, S, Kalra, L, Kjartansson, O, Kloss, M, Labovitz, DL, Laurie, CC, Lind, L, Lindgren, CM, Makoto, H, Minegishi, N, Morris, AP, Mueller-Nurasyid, M, Norrving, B, Ogishima, S, Parati, EA, Pedersen, NL, Perola, M, Jousilahti, P, Pileggi, S, Rabionet, R, Riba-Llena, I, Ribases, M, Romero, JR, Rudd, AG, Sarin, A-P, Sarju, R, Satoh, M, Sawada, N, Sigurdsson, A, Smith, A, Stine, OC, Stott, DJ, Strauch, K, Takai, T, Tanaka, H, Touze, E, Tsugane, S, Uitterlinden, AG, Valdimarsson, EM, van der Lee, SJ, Wakai, K, Williams, SR, Wolfe, CDA, Wong, Q, Yamaji, T, Sanghera, DK, Stefansson, K, Martinez-Majander, N, Sobue, K, Soriano-Tarraga, C, Volzke, H, Akpa, O, Sarfo, FS, Akpalu, A, Obiako, R, Wahab, K, Osaigbovo, G, Owolabi, L, Komolafe, M, Jenkins, C, Arulogun, O, Ogbole, G, Adeoye, AM, Akinyemi, J, Agunloye, A, Fakunle, AG, Uvere, E, Olalere, A, Adebajo, OJ, Chen, J, Clarke, R, Collins, R, Guo, Y, Wang, C, Lv, J, Peto, R, Chen, Y, Fairhurst-Hunter, Z, Hill, M, Pozarickij, A, Schmidt, D, Stevens, B, Turnbull, I, Yu, C, Nagai, A, Murakami, Y, Shiroma, EJ, Sigurdsson, S, Ghanbari, M, Boerwinkle, E, Fongang, B, Wang, R, Ikram, MK, Volker, U, de Laat, KF, van Norden, AGW, de Kort, PL, Vermeer, SE, Brouwers, PJAM, Gons, RAR, den Heijer, T, van Dijk, GW, van Rooij, FGW, Aamodt, AH, Skogholt, AH, Willer, CJ, Heuch, I, Hagen, K, Fritsche, LG, Pedersen, LM, Ellekjaer, H, Zhou, W, Martinsen, AE, Kristoffersen, ES, Thomas, LF, Kleinschnitz, C, Frantz, S, Ungethum, K, Gallego-Fabrega, C, Lledos, M, Llucia-Carol, L, Sobrino, T, Campos, F, Castillo, J, Freijo, M, Arenillas, JF, Obach, V, Alvarez-Sabin, J, Molina, CA, Ribo, M, Munoz-Narbona, L, Lopez-Cancio, E, Millan, M, Diaz-Navarro, R, Vives-Bauza, C, Serrano-Heras, G, Segura, T, Dhar, R, Delgado-Mederos, R, Prats-Sanchez, L, Camps-Renom, P, Blay, N, Sumoy, L, Marti-Fabregas, J, Schnohr, P, Jensen, GB, Benn, M, Afzal, S, Kamstrup, PR, van Setten, J, van der Laan, SW, Vonk, JMJ, Kim, B-J, Curtze, S, Tiainen, M, Kinnunen, J, Menon, V, Sung, YJ, Saillour-Glenisson, F, and Gravel, S
Abstract: Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry1,2. Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis3, and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach4, we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry5. Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.
Published: 2022

10. Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies.

Author: Jannasch, F, Dietrich, S, Bishop, TRP, Pearce, M, Fanidi, A, O'Donoghue, G, O'Gorman, D, Marques-Vidal, P, Vollenweider, P, Bes-Rastrollo, M, Byberg, L, Wolk, A, Hashemian, M, Malekzadeh, R, Poustchi, H, Luft, VC, de Matos, SMA, Kim, J, Kim, MK, Kim, Y, Stern, D, Lajous, M, Magliano, DJ, Shaw, JE, Akbaraly, T, Kivimaki, M, Maskarinec, G, Le Marchand, L, Martínez-González, MÁ, Soedamah-Muthu, SS, EPIC-InterAct Consortium, Wareham, NJ, Forouhi, NG, Schulze, MB, Jannasch, F, Dietrich, S, Bishop, TRP, Pearce, M, Fanidi, A, O'Donoghue, G, O'Gorman, D, Marques-Vidal, P, Vollenweider, P, Bes-Rastrollo, M, Byberg, L, Wolk, A, Hashemian, M, Malekzadeh, R, Poustchi, H, Luft, VC, de Matos, SMA, Kim, J, Kim, MK, Kim, Y, Stern, D, Lajous, M, Magliano, DJ, Shaw, JE, Akbaraly, T, Kivimaki, M, Maskarinec, G, Le Marchand, L, Martínez-González, MÁ, Soedamah-Muthu, SS, EPIC-InterAct Consortium, Wareham, NJ, Forouhi, NG, and Schulze, MB
Abstract: PURPOSE: In several studies, exploratory dietary patterns (DP), derived by principal component analysis, were inversely or positively associated with incident type 2 diabetes (T2D). However, findings remained study-specific, inconsistent and rarely replicated. This study aimed to investigate the associations between DPs and T2D in multiple cohorts across the world. METHODS: This federated meta-analysis of individual participant data was based on 25 prospective cohort studies from 5 continents including a total of 390,664 participants with a follow-up for T2D (3.8-25.0 years). After data harmonization across cohorts we evaluated 15 previously identified T2D-related DPs for association with incident T2D estimating pooled incidence rate ratios (IRR) and confidence intervals (CI) by Piecewise Poisson regression and random-effects meta-analysis. RESULTS: 29,386 participants developed T2D during follow-up. Five DPs, characterized by higher intake of red meat, processed meat, French fries and refined grains, were associated with higher incidence of T2D. The strongest association was observed for a DP comprising these food groups besides others (IRRpooled per 1 SD = 1.104, 95% CI 1.059-1.151). Although heterogeneity was present (I2 = 85%), IRR exceeded 1 in 18 of the 20 meta-analyzed studies. Original DPs associated with lower T2D risk were not confirmed. Instead, a healthy DP (HDP1) was associated with higher T2D risk (IRRpooled per 1 SD = 1.057, 95% CI 1.027-1.088). CONCLUSION: Our findings from various cohorts revealed positive associations for several DPs, characterized by higher intake of red meat, processed meat, French fries and refined grains, adding to the evidence-base that links DPs to higher T2D risk. However, no inverse DP-T2D associations were confirmed.
Published: 2022

11. A saturated map of common genetic variants associated with human height

Author: Yengo, L, Vedantam, S, Marouli, E, Sidorenko, J, Bartell, E, Sakaue, S, Graff, M, Eliasen, AU, Jiang, Y, Raghavan, S, Miao, J, Arias, JD, Graham, SE, Mukamel, RE, Spracklen, CN, Yin, X, Chen, S-H, Ferreira, T, Highland, HH, Ji, Y, Karaderi, T, Lin, K, Lull, K, Malden, DE, Medina-Gomez, C, Machado, M, Moore, A, Rueger, S, Sim, X, Vrieze, S, Ahluwalia, TS, Akiyama, M, Allison, MA, Alvarez, M, Andersen, MK, Ani, A, Appadurai, V, Arbeeva, L, Bhaskar, S, Bielak, LF, Bollepalli, S, Bonnycastle, LL, Bork-Jensen, J, Bradfield, JP, Bradford, Y, Braund, PS, Brody, JA, Burgdorf, KS, Cade, BE, Cai, H, Cai, Q, Campbell, A, Canadas-Garre, M, Catamo, E, Chai, J-F, Chai, X, Chang, L-C, Chang, Y-C, Chen, C-H, Chesi, A, Choi, SH, Chung, R-H, Cocca, M, Concas, MP, Couture, C, Cuellar-Partida, G, Danning, R, Daw, EW, Degenhard, F, Delgado, GE, Delitala, A, Demirkan, A, Deng, X, Devineni, P, Dietl, A, Dimitriou, M, Dimitrov, L, Dorajoo, R, Ekici, AB, Engmann, JE, Fairhurst-Hunter, Z, Farmaki, A-E, Faul, JD, Fernandez-Lopez, J-C, Forer, L, Francescatto, M, Freitag-Wolf, S, Fuchsberger, C, Galesloot, TE, Gao, Y, Gao, Z, Geller, F, Giannakopoulou, O, Giulianini, F, Gjesing, AP, Goel, A, Gordon, SD, Gorski, M, Grove, J, Guo, X, Gustafsson, S, Haessler, J, Hansen, TF, Havulinna, AS, Haworth, SJ, He, J, Heard-Costa, N, Hebbar, P, Hindy, G, Ho, Y-LA, Hofer, E, Holliday, E, Horn, K, Hornsby, WE, Hottenga, J-J, Huang, H, Huang, J, Huerta-Chagoya, A, Huffman, JE, Hung, Y-J, Huo, S, Hwang, MY, Iha, H, Ikeda, DD, Isono, M, Jackson, AU, Jager, S, Jansen, IE, Johansson, I, Jonas, JB, Jonsson, A, Jorgensen, T, Kalafati, I-P, Kanai, M, Kanoni, S, Karhus, LL, Kasturiratne, A, Katsuya, T, Kawaguchi, T, Kember, RL, Kentistou, KA, Kim, H-N, Kim, YJ, Kleber, ME, Knol, MJ, Kurbasic, A, Lauzon, M, Le, P, Lea, R, Lee, J-Y, Leonard, HL, Li, SA, Li, X, Liang, J, Lin, H, Lin, S-Y, Liu, J, Liu, X, Lo, KS, Long, J, Lores-Motta, L, Luan, J, Lyssenko, V, Lyytikainen, L-P, Mahajan, A, Mamakou, V, Mangino, M, Manichaikul, A, Marten, J, Mattheisen, M, Mavarani, L, McDaid, AF, Meidtner, K, Melendez, TL, Mercader, JM, Milaneschi, Y, Miller, JE, Millwood, IY, Mishra, PP, Mitchell, RE, Mollehave, LT, Morgan, A, Mucha, S, Munz, M, Nakatochi, M, Nelson, CP, Nethander, M, Nho, CW, Nielsen, AA, Nolte, IM, Nongmaithem, SS, Noordam, R, Ntalla, I, Nutile, T, Pandit, A, Christofidou, P, Parna, K, Pauper, M, Petersen, ERB, Petersen, L, Pitkanen, N, Polasek, O, Poveda, A, Preuss, MH, Pyarajan, S, Raffield, LM, Rakugi, H, Ramirez, J, Rasheed, A, Raven, D, Rayner, NW, Riveros, C, Rohde, R, Ruggiero, D, Ruotsalainen, SE, Ryan, KA, Sabater-Lleal, M, Saxena, R, Scholz, M, Sendamarai, A, Shen, B, Shi, J, Shin, JH, Sidore, C, Sitlani, CM, Slieker, RKC, Smit, RAJ, Smith, A, Smith, JA, Smyth, LJ, Southam, LE, Steinthorsdottir, V, Sun, L, Takeuchi, F, Tallapragada, D, Taylor, KD, Tayo, BO, Tcheandjieu, C, Terzikhan, N, Tesolin, P, Teumer, A, Theusch, E, Thompson, DJ, Thorleifsson, G, Timmers, PRHJ, Trompet, S, Turman, C, Vaccargiu, S, van der Laan, SW, van der Most, PJ, van Klinken, JB, van Setten, J, Verma, SS, Verweij, N, Veturi, Y, Wang, CA, Wang, C, Wang, L, Wang, Z, Warren, HR, Wei, WB, Wickremasinghe, AR, Wielscher, M, Wiggins, KL, Winsvold, BS, Wong, A, Wu, Y, Wuttke, M, Xia, R, Xie, T, Yamamoto, K, Yang, J, Yao, J, Young, H, Yousri, NA, Yu, L, Zeng, L, Zhang, W, Zhang, X, Zhao, J-H, Zhao, W, Zhou, W, Zimmermann, ME, Zoledziewska, M, Adair, LS, Adams, HHH, Aguilar-Salinas, CA, Al-Mulla, F, Arnett, DK, Asselbergs, FW, Asvold, BO, Attia, J, Banas, B, Bandinelli, S, Bennett, DA, Bergler, T, Bharadwaj, D, Biino, G, Bisgaard, H, Boerwinkle, E, Boger, CA, Bonnelykke, K, Boomsma, D, Borglum, AD, Borja, JB, Bouchard, C, Bowden, DW, Brandslund, I, Brumpton, B, Buring, JE, Caulfield, MJ, Chambers, JC, Chandak, GR, Chanock, SJ, Chaturvedi, N, Chen, Y-DI, Chen, Z, Cheng, C-Y, Christophersen, IE, Ciullo, M, Cole, JW, Collins, FS, Cooper, RS, Cruz, M, Cucca, F, Cupples, LA, Cutler, MJ, Damrauer, SM, Dantoft, TM, de Borst, GJ, de Groot, LCPGM, De Jager, PL, de Kleijn, DP, de Silva, HJ, Dedoussis, G, den Hollander, A, Du, S, Easton, DF, Elders, PJM, Eliassen, AH, Ellinor, PT, Elmstahl, S, Erdmann, J, Evans, MK, Fatkin, D, Feenstra, B, Feitosa, MF, Ferrucci, L, Ford, I, Fornage, M, Franke, A, Franks, PW, Freedman, B, Gasparini, P, Gieger, C, Girotto, G, Goddard, ME, Golightly, YM, Gonzalez-Villalpando, C, Gordon-Larsen, P, Grallert, H, Grant, SFA, Grarup, N, Griffiths, L, Gudnason, V, Haiman, C, Hakonarson, H, Hansen, T, Hartman, CA, Hattersley, AT, Hayward, C, Heckbert, SR, Heng, C-K, Hengstenberg, C, Hewitt, AW, Hishigaki, H, Hoyng, CB, Huang, PL, Huang, W, Hunt, SC, Hveem, K, Hypponen, E, Iacono, WG, Ichihara, S, Ikram, MA, Isasi, CR, Jackson, RD, Jarvelin, M-R, Jin, Z-B, Jockel, K-H, Joshi, PK, Jousilahti, P, Jukema, JW, Kahonen, M, Kamatani, Y, Kang, KD, Kaprio, J, Kardia, SLR, Karpe, F, Kato, N, Kee, F, Kessler, T, Khera, A, Khor, CC, Kiemeney, LALM, Kim, B-J, Kim, EK, Kim, H-L, Kirchhof, P, Kivimaki, M, Koh, W-P, Koistinen, HA, Kolovou, GD, Kooner, JS, Kooperberg, C, Kottgen, A, Kovacs, P, Kraaijeveld, A, Kraft, P, Krauss, RM, Kumari, M, Kutalik, Z, Laakso, M, Lange, LA, Langenberg, C, Launer, LJ, Le Marchand, L, Lee, H, Lee, NR, Lehtimaki, T, Li, H, Li, L, Lieb, W, Lin, X, Lind, L, Linneberg, A, Liu, C-T, Loeffler, M, London, B, Lubitz, SA, Lye, SJ, Mackey, DA, Magi, R, Magnusson, PKE, Marcus, GM, Vidal, PM, Martin, NG, Marz, W, Matsuda, F, McGarrah, RW, McGue, M, McKnight, AJ, Medland, SE, Mellstrom, D, Metspalu, A, Mitchell, BD, Mitchell, P, Mook-Kanamori, DO, Morris, AD, Mucci, LA, Munroe, PB, Nalls, MA, Nazarian, S, Nelson, AE, Neville, MJ, Newton-Cheh, C, Nielsen, CS, Nothen, MM, Ohlsson, C, Oldehinkel, AJ, Orozco, L, Pahkala, K, Pajukanta, P, Palmer, CNA, Parra, EJ, Pattaro, C, Pedersen, O, Pennell, CE, Penninx, BWJH, Perusse, L, Peters, A, Peyser, PA, Porteous, DJ, Posthuma, D, Power, C, Pramstaller, PP, Province, MA, Qi, Q, Qu, J, Rader, DJ, Raitakari, OT, Ralhan, S, Rallidis, LS, Rao, DC, Redline, S, Reilly, DF, Reiner, AP, Rhee, SY, Ridker, PM, Rienstra, M, Ripatti, S, Ritchie, MD, Roden, DM, Rosendaal, FR, Rotter, J, Rudan, I, Rutters, F, Sabanayagam, C, Saleheen, D, Salomaa, V, Samani, NJ, Sanghera, DK, Sattar, N, Schmidt, B, Schmidt, H, Schmidt, R, Schulze, MB, Schunkert, H, Scott, LJ, Scott, RJ, Sever, P, Shiroma, EJ, Shoemaker, MB, Shu, X-O, Simonsick, EM, Sims, M, Singh, JR, Singleton, AB, Sinner, MF, Smith, JG, Snieder, H, Spector, TD, Stampfer, MJ, Stark, KJ, Strachan, DP, t' Hart, LM, Tabara, Y, Tang, H, Tardif, J-C, Thanaraj, TA, Timpson, NJ, Tonjes, A, Tremblay, A, Tuomi, T, Tuomilehto, J, Tusie-Luna, M-T, Uitterlinden, AG, van Dam, RM, van der Harst, P, Van der Velde, N, van Duijn, CM, van Schoor, NM, Vitart, V, Volker, U, Vollenweider, P, Volzke, H, Wacher-Rodarte, NH, Walker, M, Wang, YX, Wareham, NJ, Watanabe, RM, Watkins, H, Weir, DR, Werge, TM, Widen, E, Wilkens, LR, Willemsen, G, Willett, WC, Wilson, JF, Wong, T-Y, Woo, J-T, Wright, AF, Wu, J-Y, Xu, H, Yajnik, CS, Yokota, M, Yuan, J-M, Zeggini, E, Zemel, BS, Zheng, W, Zhu, X, Zmuda, JM, Zonderman, AB, Zwart, J-A, Chasman, D, Cho, YS, Heid, IM, McCarthy, M, Ng, MCY, O'Donnell, CJ, Rivadeneira, F, Thorsteinsdottir, U, Sun, Y, Tai, ES, Boehnke, M, Deloukas, P, Justice, AE, Lindgren, CM, Loos, RJF, Mohlke, KL, North, KE, Stefansson, K, Walters, RG, Winkler, TW, Young, KL, Loh, P-R, Esko, T, Assimes, TL, Auton, A, Abecasis, GR, Willer, CJ, Locke, AE, Berndt, S, Lettre, G, Frayling, TM, Okada, Y, Wood, AR, Visscher, PM, Hirschhorn, JN, Yengo, L, Vedantam, S, Marouli, E, Sidorenko, J, Bartell, E, Sakaue, S, Graff, M, Eliasen, AU, Jiang, Y, Raghavan, S, Miao, J, Arias, JD, Graham, SE, Mukamel, RE, Spracklen, CN, Yin, X, Chen, S-H, Ferreira, T, Highland, HH, Ji, Y, Karaderi, T, Lin, K, Lull, K, Malden, DE, Medina-Gomez, C, Machado, M, Moore, A, Rueger, S, Sim, X, Vrieze, S, Ahluwalia, TS, Akiyama, M, Allison, MA, Alvarez, M, Andersen, MK, Ani, A, Appadurai, V, Arbeeva, L, Bhaskar, S, Bielak, LF, Bollepalli, S, Bonnycastle, LL, Bork-Jensen, J, Bradfield, JP, Bradford, Y, Braund, PS, Brody, JA, Burgdorf, KS, Cade, BE, Cai, H, Cai, Q, Campbell, A, Canadas-Garre, M, Catamo, E, Chai, J-F, Chai, X, Chang, L-C, Chang, Y-C, Chen, C-H, Chesi, A, Choi, SH, Chung, R-H, Cocca, M, Concas, MP, Couture, C, Cuellar-Partida, G, Danning, R, Daw, EW, Degenhard, F, Delgado, GE, Delitala, A, Demirkan, A, Deng, X, Devineni, P, Dietl, A, Dimitriou, M, Dimitrov, L, Dorajoo, R, Ekici, AB, Engmann, JE, Fairhurst-Hunter, Z, Farmaki, A-E, Faul, JD, Fernandez-Lopez, J-C, Forer, L, Francescatto, M, Freitag-Wolf, S, Fuchsberger, C, Galesloot, TE, Gao, Y, Gao, Z, Geller, F, Giannakopoulou, O, Giulianini, F, Gjesing, AP, Goel, A, Gordon, SD, Gorski, M, Grove, J, Guo, X, Gustafsson, S, Haessler, J, Hansen, TF, Havulinna, AS, Haworth, SJ, He, J, Heard-Costa, N, Hebbar, P, Hindy, G, Ho, Y-LA, Hofer, E, Holliday, E, Horn, K, Hornsby, WE, Hottenga, J-J, Huang, H, Huang, J, Huerta-Chagoya, A, Huffman, JE, Hung, Y-J, Huo, S, Hwang, MY, Iha, H, Ikeda, DD, Isono, M, Jackson, AU, Jager, S, Jansen, IE, Johansson, I, Jonas, JB, Jonsson, A, Jorgensen, T, Kalafati, I-P, Kanai, M, Kanoni, S, Karhus, LL, Kasturiratne, A, Katsuya, T, Kawaguchi, T, Kember, RL, Kentistou, KA, Kim, H-N, Kim, YJ, Kleber, ME, Knol, MJ, Kurbasic, A, Lauzon, M, Le, P, Lea, R, Lee, J-Y, Leonard, HL, Li, SA, Li, X, Liang, J, Lin, H, Lin, S-Y, Liu, J, Liu, X, Lo, KS, Long, J, Lores-Motta, L, Luan, J, Lyssenko, V, Lyytikainen, L-P, Mahajan, A, Mamakou, V, Mangino, M, Manichaikul, A, Marten, J, Mattheisen, M, Mavarani, L, McDaid, AF, Meidtner, K, Melendez, TL, Mercader, JM, Milaneschi, Y, Miller, JE, Millwood, IY, Mishra, PP, Mitchell, RE, Mollehave, LT, Morgan, A, Mucha, S, Munz, M, Nakatochi, M, Nelson, CP, Nethander, M, Nho, CW, Nielsen, AA, Nolte, IM, Nongmaithem, SS, Noordam, R, Ntalla, I, Nutile, T, Pandit, A, Christofidou, P, Parna, K, Pauper, M, Petersen, ERB, Petersen, L, Pitkanen, N, Polasek, O, Poveda, A, Preuss, MH, Pyarajan, S, Raffield, LM, Rakugi, H, Ramirez, J, Rasheed, A, Raven, D, Rayner, NW, Riveros, C, Rohde, R, Ruggiero, D, Ruotsalainen, SE, Ryan, KA, Sabater-Lleal, M, Saxena, R, Scholz, M, Sendamarai, A, Shen, B, Shi, J, Shin, JH, Sidore, C, Sitlani, CM, Slieker, RKC, Smit, RAJ, Smith, A, Smith, JA, Smyth, LJ, Southam, LE, Steinthorsdottir, V, Sun, L, Takeuchi, F, Tallapragada, D, Taylor, KD, Tayo, BO, Tcheandjieu, C, Terzikhan, N, Tesolin, P, Teumer, A, Theusch, E, Thompson, DJ, Thorleifsson, G, Timmers, PRHJ, Trompet, S, Turman, C, Vaccargiu, S, van der Laan, SW, van der Most, PJ, van Klinken, JB, van Setten, J, Verma, SS, Verweij, N, Veturi, Y, Wang, CA, Wang, C, Wang, L, Wang, Z, Warren, HR, Wei, WB, Wickremasinghe, AR, Wielscher, M, Wiggins, KL, Winsvold, BS, Wong, A, Wu, Y, Wuttke, M, Xia, R, Xie, T, Yamamoto, K, Yang, J, Yao, J, Young, H, Yousri, NA, Yu, L, Zeng, L, Zhang, W, Zhang, X, Zhao, J-H, Zhao, W, Zhou, W, Zimmermann, ME, Zoledziewska, M, Adair, LS, Adams, HHH, Aguilar-Salinas, CA, Al-Mulla, F, Arnett, DK, Asselbergs, FW, Asvold, BO, Attia, J, Banas, B, Bandinelli, S, Bennett, DA, Bergler, T, Bharadwaj, D, Biino, G, Bisgaard, H, Boerwinkle, E, Boger, CA, Bonnelykke, K, Boomsma, D, Borglum, AD, Borja, JB, Bouchard, C, Bowden, DW, Brandslund, I, Brumpton, B, Buring, JE, Caulfield, MJ, Chambers, JC, Chandak, GR, Chanock, SJ, Chaturvedi, N, Chen, Y-DI, Chen, Z, Cheng, C-Y, Christophersen, IE, Ciullo, M, Cole, JW, Collins, FS, Cooper, RS, Cruz, M, Cucca, F, Cupples, LA, Cutler, MJ, Damrauer, SM, Dantoft, TM, de Borst, GJ, de Groot, LCPGM, De Jager, PL, de Kleijn, DP, de Silva, HJ, Dedoussis, G, den Hollander, A, Du, S, Easton, DF, Elders, PJM, Eliassen, AH, Ellinor, PT, Elmstahl, S, Erdmann, J, Evans, MK, Fatkin, D, Feenstra, B, Feitosa, MF, Ferrucci, L, Ford, I, Fornage, M, Franke, A, Franks, PW, Freedman, B, Gasparini, P, Gieger, C, Girotto, G, Goddard, ME, Golightly, YM, Gonzalez-Villalpando, C, Gordon-Larsen, P, Grallert, H, Grant, SFA, Grarup, N, Griffiths, L, Gudnason, V, Haiman, C, Hakonarson, H, Hansen, T, Hartman, CA, Hattersley, AT, Hayward, C, Heckbert, SR, Heng, C-K, Hengstenberg, C, Hewitt, AW, Hishigaki, H, Hoyng, CB, Huang, PL, Huang, W, Hunt, SC, Hveem, K, Hypponen, E, Iacono, WG, Ichihara, S, Ikram, MA, Isasi, CR, Jackson, RD, Jarvelin, M-R, Jin, Z-B, Jockel, K-H, Joshi, PK, Jousilahti, P, Jukema, JW, Kahonen, M, Kamatani, Y, Kang, KD, Kaprio, J, Kardia, SLR, Karpe, F, Kato, N, Kee, F, Kessler, T, Khera, A, Khor, CC, Kiemeney, LALM, Kim, B-J, Kim, EK, Kim, H-L, Kirchhof, P, Kivimaki, M, Koh, W-P, Koistinen, HA, Kolovou, GD, Kooner, JS, Kooperberg, C, Kottgen, A, Kovacs, P, Kraaijeveld, A, Kraft, P, Krauss, RM, Kumari, M, Kutalik, Z, Laakso, M, Lange, LA, Langenberg, C, Launer, LJ, Le Marchand, L, Lee, H, Lee, NR, Lehtimaki, T, Li, H, Li, L, Lieb, W, Lin, X, Lind, L, Linneberg, A, Liu, C-T, Loeffler, M, London, B, Lubitz, SA, Lye, SJ, Mackey, DA, Magi, R, Magnusson, PKE, Marcus, GM, Vidal, PM, Martin, NG, Marz, W, Matsuda, F, McGarrah, RW, McGue, M, McKnight, AJ, Medland, SE, Mellstrom, D, Metspalu, A, Mitchell, BD, Mitchell, P, Mook-Kanamori, DO, Morris, AD, Mucci, LA, Munroe, PB, Nalls, MA, Nazarian, S, Nelson, AE, Neville, MJ, Newton-Cheh, C, Nielsen, CS, Nothen, MM, Ohlsson, C, Oldehinkel, AJ, Orozco, L, Pahkala, K, Pajukanta, P, Palmer, CNA, Parra, EJ, Pattaro, C, Pedersen, O, Pennell, CE, Penninx, BWJH, Perusse, L, Peters, A, Peyser, PA, Porteous, DJ, Posthuma, D, Power, C, Pramstaller, PP, Province, MA, Qi, Q, Qu, J, Rader, DJ, Raitakari, OT, Ralhan, S, Rallidis, LS, Rao, DC, Redline, S, Reilly, DF, Reiner, AP, Rhee, SY, Ridker, PM, Rienstra, M, Ripatti, S, Ritchie, MD, Roden, DM, Rosendaal, FR, Rotter, J, Rudan, I, Rutters, F, Sabanayagam, C, Saleheen, D, Salomaa, V, Samani, NJ, Sanghera, DK, Sattar, N, Schmidt, B, Schmidt, H, Schmidt, R, Schulze, MB, Schunkert, H, Scott, LJ, Scott, RJ, Sever, P, Shiroma, EJ, Shoemaker, MB, Shu, X-O, Simonsick, EM, Sims, M, Singh, JR, Singleton, AB, Sinner, MF, Smith, JG, Snieder, H, Spector, TD, Stampfer, MJ, Stark, KJ, Strachan, DP, t' Hart, LM, Tabara, Y, Tang, H, Tardif, J-C, Thanaraj, TA, Timpson, NJ, Tonjes, A, Tremblay, A, Tuomi, T, Tuomilehto, J, Tusie-Luna, M-T, Uitterlinden, AG, van Dam, RM, van der Harst, P, Van der Velde, N, van Duijn, CM, van Schoor, NM, Vitart, V, Volker, U, Vollenweider, P, Volzke, H, Wacher-Rodarte, NH, Walker, M, Wang, YX, Wareham, NJ, Watanabe, RM, Watkins, H, Weir, DR, Werge, TM, Widen, E, Wilkens, LR, Willemsen, G, Willett, WC, Wilson, JF, Wong, T-Y, Woo, J-T, Wright, AF, Wu, J-Y, Xu, H, Yajnik, CS, Yokota, M, Yuan, J-M, Zeggini, E, Zemel, BS, Zheng, W, Zhu, X, Zmuda, JM, Zonderman, AB, Zwart, J-A, Chasman, D, Cho, YS, Heid, IM, McCarthy, M, Ng, MCY, O'Donnell, CJ, Rivadeneira, F, Thorsteinsdottir, U, Sun, Y, Tai, ES, Boehnke, M, Deloukas, P, Justice, AE, Lindgren, CM, Loos, RJF, Mohlke, KL, North, KE, Stefansson, K, Walters, RG, Winkler, TW, Young, KL, Loh, P-R, Esko, T, Assimes, TL, Auton, A, Abecasis, GR, Willer, CJ, Locke, AE, Berndt, S, Lettre, G, Frayling, TM, Okada, Y, Wood, AR, Visscher, PM, and Hirschhorn, JN
Abstract: Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40-50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the regions of increased density are enriched for biologically relevant genes. In out-of-sample estimation and prediction, the 12,111 SNPs (or all SNPs in the HapMap 3 panel2) account for 40% (45%) of phenotypic variance in populations of European ancestry but only around 10-20% (14-24%) in populations of other ancestries. Effect sizes, associated regions and gene prioritization are similar across ancestries, indicating that reduced prediction accuracy is likely to be explained by linkage disequilibrium and differences in allele frequency within associated regions. Finally, we show that the relevant biological pathways are detectable with smaller sample sizes than are needed to implicate causal genes and variants. Overall, this study provides a comprehensive map of specific genomic regions that contain the vast majority of common height-associated variants. Although this map is saturated for populations of European ancestry, further research is needed to achieve equivalent saturation in other ancestries.
Published: 2022

12. Subclinical thyroid dysfunction and incident diabetes: a systematic review and an individual participant data analysis of prospective cohort studies

Author: Alwan H, Villoz F, Feller M, Dullaart RPF, Bakker SJL, Peeters RP, Kavousi M, Bauer DC, Cappola AR, Yeap BB, Walsh JP, Brown SJ, Ceresini G, Ferrucci L, Gussekloo J, Trompet S, Iacoviello M, Moon JH, Razvi S, Bensenor IM, Azizi F, Amouzegar A, Valdés S, Colomo N, Wareham NJ, Jukema JW, Westendorp RGJ, Kim KW, Rodondi N, Giovane CD
Published: 2022
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13. Epidemiology of diabetes

Author: Forouhi, NG, Wareham, NJ, Forouhi, Nita [0000-0002-5041-248X], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository
Subjects: Medicine(all), 0303 health sciences, diagnosis, type 1 diabetes, screening, Diabetes, 32 Biomedical and Clinical Sciences, 3 Good Health and Well Being, 030209 endocrinology & metabolism, General Medicine, Cardiovascular, 3. Good health, Diabetes: Basic Facts, 03 medical and health sciences, 0302 clinical medicine, prevention, 030220 oncology & carcinogenesis, epidemiology, Obesity, type 2 diabetes, 030212 general & internal medicine, Aetiology, Metabolic and endocrine, Nutrition, 030304 developmental biology
Abstract: The rising disease burden of diabetes mellitus globally is a major public health priority, placing unsustainable demands on individuals, their carers, health systems and society. The latest estimates show that there was a global prevalence of 425 million people with diabetes in 2017, which is expected to rise to 629 million by 2045. This is fuelled by the global rise in the prevalence of obesity and unhealthy behaviours including poor diets and physical inactivity; these are in turn promoted by wider societal determinants, including changes in nutrition in a global context (the so-called ‘nutrition transition’). The aetiological classification of diabetes principally separates diabetes mellitus into two main types, type 1 and type 2, with type 2 diabetes accounting for most (>85%) of the total diabetes mellitus prevalence. Both of the common forms of diabetes can lead to multisystem complications of microvascular endpoints, including retinopathy, nephropathy and neuropathy, and macrovascular endpoints, including ischaemic heart disease, stroke and peripheral vascular disease. The aetiology of type 1 diabetes is still incompletely understood. The role of modifiable factors in the causation of type 2 diabetes is better understood, making prevention a realistic public health goal.
Published: 2019
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14. Publisher Correction:Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author: Surendran, P, Feofanova, EV, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, AV, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Velez Edwards, DR, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, De Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, I, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, YV, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, AI, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Davey Smith, G, Boer, RAD, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, MI, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, JI, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, Van der Harst, P, Van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, DI, Levy, D, Newton-Cheh, C, Munroe, PB, Howson, JMM, and United Kingdom Research and Innovation
Subjects: Genetics & Heredity, Understanding Society Scientific Group, Science & Technology, business.industry, Published Erratum, Million Veteran Program, MEDLINE, Computational biology, 06 Biological Sciences, Biology, Blood pressure, Text mining, Meta-analysis, EPIC-InterAct, Genetics, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, business, Life Sciences & Biomedicine, EPIC-CVD, 11 Medical and Health Sciences, LifeLines Cohort Study, Developmental Biology
Abstract: In the version of this article originally published, the e-mail address of corresponding author Patricia B. Munroe was incorrect. The error has been corrected in the HTML and PDF versions of the article.
Published: 2021
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15. Variants associated with HHIP expression have sexdifferential effects on lung function

Author: Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Berge, MVD, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T, Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, Peter, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, Wain, LV, Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Berge, MVD, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T, Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, Peter, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, and Wain, LV
Published: 2021

16. Genetic insights into biological mechanisms governing human ovarian ageing

Author: Ruth, KS, Day, FR, Hussain, J, Martinez-Marchal, A, Aiken, CE, Azad, A, Thompson, DJ, Knoblochova, L, Abe, H, Tarry-Adkins, JL, Gonzalez, JM, Fontanillas, P, Claringbould, A, Bakker, OB, Sulem, P, Walters, RG, Terao, C, Turon, S, Horikoshi, M, Lin, K, Onland-Moret, NC, Sankar, A, Hertz, EPT, Timshel, PN, Shukla, V, Borup, R, Olsen, KW, Aguilera, P, Ferrer-Roda, M, Huang, Y, Stankovic, S, Timmers, PRHJ, Ahearn, TU, Alizadeh, BZ, Naderi, E, Andrulis, IL, Arnold, AM, Aronson, KJ, Augustinsson, A, Bandinelli, S, Barbieri, CM, Beaumont, RN, Becher, H, Beckmann, MW, Benonisdottir, S, Bergmann, S, Bochud, M, Boerwinkle, E, Bojesen, SE, Bolla, MK, Boomsma, DI, Bowker, N, Brody, JA, Broer, L, Buring, JE, Campbell, A, Campbell, H, Castelao, JE, Catamo, E, Chanock, SJ, Chenevix-Trench, G, Ciullo, M, Corre, T, Couch, FJ, Cox, A, Crisponi, L, Cross, SS, Cucca, F, Czene, K, Smith, GD, de Geus, EJCN, de Mutsert, R, De Vivo, I, Demerath, EW, Dennis, J, Dunning, AM, Dwek, M, Eriksson, M, Esko, T, Fasching, PA, Faul, JD, Ferrucci, L, Franceschini, N, Frayling, TM, Gago-Dominguez, M, Mezzavilla, M, Garcia-Closas, M, Gieger, C, Giles, GG, Grallert, H, Gudbjartsson, DF, Gudnason, V, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Hayward, C, He, C, He, W, Heiss, G, Hoffding, MK, Hopper, JL, Hottenga, JJ, Hu, F, Hunter, D, Ikram, MA, Jackson, RD, Joaquim, MDR, John, EM, Joshi, PK, Karasik, D, Kardia, SLR, Kartsonaki, C, Karlsson, R, Kitahara, CM, Kolcic, I, Kooperberg, C, Kraft, P, Kurian, AW, Kutalik, Z, La Bianca, M, LaChance, G, Langenberg, C, Launer, LJ, Laven, JSE, Lawlor, DA, Le Marchand, L, Li, J, Lindblom, A, Lindstrom, S, Lindstrom, T, Linet, M, Liu, Y, Liu, S, Luan, J, Magi, R, Magnusson, PKE, Mangino, M, Mannermaa, A, Marco, B, Marten, J, Martin, NG, Mbarek, H, McKnight, B, Medland, SE, Meisinger, C, Meitinger, T, Menni, C, Metspalu, A, Milani, L, Milne, RL, Montgomery, GW, Mook-Kanamori, DO, Mulas, A, Mulligan, AM, Murray, A, Nalls, MA, Newman, A, Noordam, R, Nutile, T, Nyholt, DR, Olshan, AF, Olsson, H, Painter, JN, Patel, AV, Pedersen, NL, Perjakova, N, Peters, A, Peters, U, Pharoah, PDP, Polasek, O, Porcu, E, Psaty, BM, Rahman, I, Rennert, G, Rennert, HS, Ridker, PM, Ring, SM, Robino, A, Rose, LM, Rosendaal, FR, Rossouw, J, Rudan, I, Rueedi, R, Ruggiero, D, Sala, CF, Saloustros, E, Sandler, DP, Sanna, S, Sawyer, EJ, Sarnowski, C, Schlessinger, D, Schmidt, MK, Schoemaker, MJ, Schraut, KE, Scott, C, Shekari, S, Shrikhande, A, Smith, AV, Smith, BH, Smith, JA, Sorice, R, Southey, MC, Spector, TD, Spinelli, JJ, Stampfer, M, Stoeckl, D, van Meurs, JBJ, Strauch, K, Styrkarsdottir, U, Swerdlow, AJ, Tanaka, T, Teras, LR, Teumer, A, thorsteinsdottir, U, Timpson, NJ, Toniolo, D, Traglia, M, Troester, MA, Truong, T, Tyrrell, J, Uitterlinden, AG, Ulivi, S, Vachon, CM, Vitart, V, Voelker, U, Vollenweider, P, Voelzke, H, Wang, Q, Wareham, NJ, Weinberg, CR, Weir, DR, Wilcox, AN, van Dijk, KW, Willemsen, G, Wilson, JF, Wolffenbuttel, BHR, Wolk, A, Wood, AR, Zhao, W, Zygmunt, M, Chen, Z, Li, L, Franke, L, Burgess, S, Deelen, P, Pers, TH, Grondahl, ML, Andersen, CY, Pujol, A, Lopez-Contreras, AJ, Daniel, JA, Stefansson, K, Chang-Claude, J, van der Schouw, YT, Lunetta, KL, Chasman, DI, Easton, DF, Visser, JA, Ozanne, SE, Namekawa, SH, Solc, P, Murabito, JM, Ong, KK, Hoffmann, ER, Roig, I, Perry, JRB, Ruth, KS, Day, FR, Hussain, J, Martinez-Marchal, A, Aiken, CE, Azad, A, Thompson, DJ, Knoblochova, L, Abe, H, Tarry-Adkins, JL, Gonzalez, JM, Fontanillas, P, Claringbould, A, Bakker, OB, Sulem, P, Walters, RG, Terao, C, Turon, S, Horikoshi, M, Lin, K, Onland-Moret, NC, Sankar, A, Hertz, EPT, Timshel, PN, Shukla, V, Borup, R, Olsen, KW, Aguilera, P, Ferrer-Roda, M, Huang, Y, Stankovic, S, Timmers, PRHJ, Ahearn, TU, Alizadeh, BZ, Naderi, E, Andrulis, IL, Arnold, AM, Aronson, KJ, Augustinsson, A, Bandinelli, S, Barbieri, CM, Beaumont, RN, Becher, H, Beckmann, MW, Benonisdottir, S, Bergmann, S, Bochud, M, Boerwinkle, E, Bojesen, SE, Bolla, MK, Boomsma, DI, Bowker, N, Brody, JA, Broer, L, Buring, JE, Campbell, A, Campbell, H, Castelao, JE, Catamo, E, Chanock, SJ, Chenevix-Trench, G, Ciullo, M, Corre, T, Couch, FJ, Cox, A, Crisponi, L, Cross, SS, Cucca, F, Czene, K, Smith, GD, de Geus, EJCN, de Mutsert, R, De Vivo, I, Demerath, EW, Dennis, J, Dunning, AM, Dwek, M, Eriksson, M, Esko, T, Fasching, PA, Faul, JD, Ferrucci, L, Franceschini, N, Frayling, TM, Gago-Dominguez, M, Mezzavilla, M, Garcia-Closas, M, Gieger, C, Giles, GG, Grallert, H, Gudbjartsson, DF, Gudnason, V, Guenel, P, Haiman, CA, Hakansson, N, Hall, P, Hayward, C, He, C, He, W, Heiss, G, Hoffding, MK, Hopper, JL, Hottenga, JJ, Hu, F, Hunter, D, Ikram, MA, Jackson, RD, Joaquim, MDR, John, EM, Joshi, PK, Karasik, D, Kardia, SLR, Kartsonaki, C, Karlsson, R, Kitahara, CM, Kolcic, I, Kooperberg, C, Kraft, P, Kurian, AW, Kutalik, Z, La Bianca, M, LaChance, G, Langenberg, C, Launer, LJ, Laven, JSE, Lawlor, DA, Le Marchand, L, Li, J, Lindblom, A, Lindstrom, S, Lindstrom, T, Linet, M, Liu, Y, Liu, S, Luan, J, Magi, R, Magnusson, PKE, Mangino, M, Mannermaa, A, Marco, B, Marten, J, Martin, NG, Mbarek, H, McKnight, B, Medland, SE, Meisinger, C, Meitinger, T, Menni, C, Metspalu, A, Milani, L, Milne, RL, Montgomery, GW, Mook-Kanamori, DO, Mulas, A, Mulligan, AM, Murray, A, Nalls, MA, Newman, A, Noordam, R, Nutile, T, Nyholt, DR, Olshan, AF, Olsson, H, Painter, JN, Patel, AV, Pedersen, NL, Perjakova, N, Peters, A, Peters, U, Pharoah, PDP, Polasek, O, Porcu, E, Psaty, BM, Rahman, I, Rennert, G, Rennert, HS, Ridker, PM, Ring, SM, Robino, A, Rose, LM, Rosendaal, FR, Rossouw, J, Rudan, I, Rueedi, R, Ruggiero, D, Sala, CF, Saloustros, E, Sandler, DP, Sanna, S, Sawyer, EJ, Sarnowski, C, Schlessinger, D, Schmidt, MK, Schoemaker, MJ, Schraut, KE, Scott, C, Shekari, S, Shrikhande, A, Smith, AV, Smith, BH, Smith, JA, Sorice, R, Southey, MC, Spector, TD, Spinelli, JJ, Stampfer, M, Stoeckl, D, van Meurs, JBJ, Strauch, K, Styrkarsdottir, U, Swerdlow, AJ, Tanaka, T, Teras, LR, Teumer, A, thorsteinsdottir, U, Timpson, NJ, Toniolo, D, Traglia, M, Troester, MA, Truong, T, Tyrrell, J, Uitterlinden, AG, Ulivi, S, Vachon, CM, Vitart, V, Voelker, U, Vollenweider, P, Voelzke, H, Wang, Q, Wareham, NJ, Weinberg, CR, Weir, DR, Wilcox, AN, van Dijk, KW, Willemsen, G, Wilson, JF, Wolffenbuttel, BHR, Wolk, A, Wood, AR, Zhao, W, Zygmunt, M, Chen, Z, Li, L, Franke, L, Burgess, S, Deelen, P, Pers, TH, Grondahl, ML, Andersen, CY, Pujol, A, Lopez-Contreras, AJ, Daniel, JA, Stefansson, K, Chang-Claude, J, van der Schouw, YT, Lunetta, KL, Chasman, DI, Easton, DF, Visser, JA, Ozanne, SE, Namekawa, SH, Solc, P, Murabito, JM, Ong, KK, Hoffmann, ER, Roig, I, and Perry, JRB
Abstract: Reproductive longevity is essential for fertility and influences healthy ageing in women1,2, but insights into its underlying biological mechanisms and treatments to preserve it are limited. Here we identify 290 genetic determinants of ovarian ageing, assessed using normal variation in age at natural menopause (ANM) in about 200,000 women of European ancestry. These common alleles were associated with clinical extremes of ANM; women in the top 1% of genetic susceptibility have an equivalent risk of premature ovarian insufficiency to those carrying monogenic FMR1 premutations3. The identified loci implicate a broad range of DNA damage response (DDR) processes and include loss-of-function variants in key DDR-associated genes. Integration with experimental models demonstrates that these DDR processes act across the life-course to shape the ovarian reserve and its rate of depletion. Furthermore, we demonstrate that experimental manipulation of DDR pathways highlighted by human genetics increases fertility and extends reproductive life in mice. Causal inference analyses using the identified genetic variants indicate that extending reproductive life in women improves bone health and reduces risk of type 2 diabetes, but increases the risk of hormone-sensitive cancers. These findings provide insight into the mechanisms that govern ovarian ageing, when they act, and how they might be targeted by therapeutic approaches to extend fertility and prevent disease.
Published: 2021

17. Salicylic Acid and Risk of Colorectal Cancer: A Two-Sample Mendelian Randomization Study

Author: Nounu, A, Richmond, RC, Stewart, ID, Surendran, P, Wareham, NJ, Butterworth, A, Weinstein, SJ, Albanes, D, Baron, JA, Hopper, JL, Figueiredo, JC, Newcomb, PA, Lindor, NM, Casey, G, Platz, EA, Marchand, LL, Ulrich, CM, Li, CI, van Dujinhoven, FJB, Gsur, A, Campbell, PT, Moreno, V, Vodicka, P, Vodickova, L, Amitay, E, Alwers, E, Chang-Claude, J, Sakoda, LC, Slattery, ML, Schoen, RE, Gunter, MJ, Castellvi-Bel, S, Kim, H-R, Kweon, S-S, Chan, AT, Li, L, Zheng, W, Bishop, DT, Buchanan, DD, Giles, GG, Gruber, SB, Rennert, G, Stadler, ZK, Harrison, TA, Lin, Y, Keku, TO, Woods, MO, Schafmayer, C, Van Guelpen, B, Gallinger, S, Hampel, H, Berndt, SI, Pharoah, PDP, Lindblom, A, Wolk, A, Wu, AH, White, E, Peters, U, Drew, DA, Scherer, D, Bermejo, JL, Brenner, H, Hoffmeister, M, Williams, AC, Relton, CL, Nounu, A, Richmond, RC, Stewart, ID, Surendran, P, Wareham, NJ, Butterworth, A, Weinstein, SJ, Albanes, D, Baron, JA, Hopper, JL, Figueiredo, JC, Newcomb, PA, Lindor, NM, Casey, G, Platz, EA, Marchand, LL, Ulrich, CM, Li, CI, van Dujinhoven, FJB, Gsur, A, Campbell, PT, Moreno, V, Vodicka, P, Vodickova, L, Amitay, E, Alwers, E, Chang-Claude, J, Sakoda, LC, Slattery, ML, Schoen, RE, Gunter, MJ, Castellvi-Bel, S, Kim, H-R, Kweon, S-S, Chan, AT, Li, L, Zheng, W, Bishop, DT, Buchanan, DD, Giles, GG, Gruber, SB, Rennert, G, Stadler, ZK, Harrison, TA, Lin, Y, Keku, TO, Woods, MO, Schafmayer, C, Van Guelpen, B, Gallinger, S, Hampel, H, Berndt, SI, Pharoah, PDP, Lindblom, A, Wolk, A, Wu, AH, White, E, Peters, U, Drew, DA, Scherer, D, Bermejo, JL, Brenner, H, Hoffmeister, M, Williams, AC, and Relton, CL
Abstract: Salicylic acid (SA) has observationally been shown to decrease colorectal cancer (CRC) risk. Aspirin (acetylsalicylic acid, that rapidly deacetylates to SA) is an effective primary and secondary chemopreventive agent. Through a Mendelian randomization (MR) approach, we aimed to address whether levels of SA affected CRC risk, stratifying by aspirin use. A two-sample MR analysis was performed using GWAS summary statistics of SA (INTERVAL and EPIC-Norfolk, N = 14,149) and CRC (CCFR, CORECT, GECCO and UK Biobank, 55,168 cases and 65,160 controls). The DACHS study (4410 cases and 3441 controls) was used for replication and stratification of aspirin-use. SNPs proxying SA were selected via three methods: (1) functional SNPs that influence the activity of aspirin-metabolising enzymes; (2) pathway SNPs present in enzymes' coding regions; and (3) genome-wide significant SNPs. We found no association between functional SNPs and SA levels. The pathway and genome-wide SNPs showed no association between SA and CRC risk (OR: 1.03, 95% CI: 0.84-1.27 and OR: 1.08, 95% CI: 0.86-1.34, respectively). Results remained unchanged upon aspirin use stratification. We found little evidence to suggest that an SD increase in genetically predicted SA protects against CRC risk in the general population and upon stratification by aspirin use.
Published: 2021

18. Associations of Total Legume, Pulse, and Soy Consumption with Incident Type 2 Diabetes: Federated Meta-Analysis of 27 Studies from Diverse World Regions

Author: Pearce, M, Fanidi, A, Bishop, TRP, Sharp, SJ, Imamura, F, Dietrich, S, Akbaraly, T, Bes-Rastrollo, M, Beulens, JWJ, Byberg, L, Canhada, S, Molina, MDCB, Chen, Z, Cortes-Valencia, A, Du, H, Duncan, BB, Harkanen, T, Hashemian, M, Kim, J, Kim, MK, Kim, Y, Knekt, P, Kromhout, D, Lassale, C, Lopez Ridaura, R, Magliano, DJ, Malekzadeh, R, Marques-Vidal, P, Angel Martinez-Gonzalez, M, O'Donoghue, G, O'Gorman, D, Shaw, JE, Soedamah-Muthu, SS, Stern, D, Wolk, A, Woo, HW, Wareham, NJ, Forouhi, NG, Pearce, M, Fanidi, A, Bishop, TRP, Sharp, SJ, Imamura, F, Dietrich, S, Akbaraly, T, Bes-Rastrollo, M, Beulens, JWJ, Byberg, L, Canhada, S, Molina, MDCB, Chen, Z, Cortes-Valencia, A, Du, H, Duncan, BB, Harkanen, T, Hashemian, M, Kim, J, Kim, MK, Kim, Y, Knekt, P, Kromhout, D, Lassale, C, Lopez Ridaura, R, Magliano, DJ, Malekzadeh, R, Marques-Vidal, P, Angel Martinez-Gonzalez, M, O'Donoghue, G, O'Gorman, D, Shaw, JE, Soedamah-Muthu, SS, Stern, D, Wolk, A, Woo, HW, Wareham, NJ, and Forouhi, NG
Abstract: BACKGROUND: The consumption of legumes is promoted as part of a healthy diet in many countries but associations of total and types of legume consumption with type 2 diabetes (T2D) are not well established. Analyses across diverse populations are lacking despite the availability of unpublished legume consumption data in prospective cohort studies. OBJECTIVE: To examine the prospective associations of total and types of legume intake with the risk of incident T2D. METHODS: Meta-analyses of associations between total legume, pulse, and soy consumption and T2D were conducted using a federated approach without physical data-pooling. Prospective cohorts were included if legume exposure and T2D outcome data were available and the cohort investigators agreed to participate. We estimated incidence rate ratios (IRRs) and CIs of associations using individual participant data including ≤42,473 incident cases among 807,785 adults without diabetes in 27 cohorts across the Americas, Eastern Mediterranean, Europe, and Western Pacific. Random-effects meta-analysis was used to combine effect estimates and estimate heterogeneity. RESULTS: Median total legume intake ranged from 0-140 g/d across cohorts. We observed a weak positive association between total legume consumption and T2D (IRR = 1.02, 95% CI: 1.01 to 1.04) per 20 g/d higher intake, with moderately high heterogeneity (I2 = 74%). Analysis by region showed no evidence of associations in the Americas, Eastern Mediterranean, and Western Pacific. The positive association in Europe (IRR = 1.05, 95% CI: 1.01 to 1.10, I2 = 82%) was mainly driven by studies from Germany, UK, and Sweden. No evidence of associations was observed for the consumption of pulses or soy. CONCLUSIONS: These findings suggest no evidence of an association of legume intakes with T2D in several world regions. The positive association observed in some European studies warrants further investigation relating to overall dietary contexts in which legumes are consumed
Published: 2021

19. Heterogeneity of Associations between Total and Types of Fish Intake and the Incidence of Type 2 Diabetes: Federated Meta-Analysis of 28 Prospective Studies Including 956,122 Participants

Author: Pastorino, S, Bishop, T, Sharp, SJ, Pearce, M, Akbaraly, T, Barbieri, NB, Bes-Rastrollo, M, Beulens, JWJ, Chen, Z, Du, H, Duncan, BB, Goto, A, Harkanen, T, Hashemian, M, Kromhout, D, Jarvinen, R, Kivimaki, M, Knekt, P, Lin, X, Lund, E, Magliano, DJ, Malekzadeh, R, Angel Martinez-Gonzalez, M, O'Donoghue, G, O'Gorman, D, Poustchi, H, Rylander, C, Sawada, N, Shaw, JE, Schmidt, M, Soedamah-Muthu, SS, Sun, L, Wen, W, Wolk, A, Shu, X-O, Zheng, W, Wareham, NJ, Forouhi, NG, Pastorino, S, Bishop, T, Sharp, SJ, Pearce, M, Akbaraly, T, Barbieri, NB, Bes-Rastrollo, M, Beulens, JWJ, Chen, Z, Du, H, Duncan, BB, Goto, A, Harkanen, T, Hashemian, M, Kromhout, D, Jarvinen, R, Kivimaki, M, Knekt, P, Lin, X, Lund, E, Magliano, DJ, Malekzadeh, R, Angel Martinez-Gonzalez, M, O'Donoghue, G, O'Gorman, D, Poustchi, H, Rylander, C, Sawada, N, Shaw, JE, Schmidt, M, Soedamah-Muthu, SS, Sun, L, Wen, W, Wolk, A, Shu, X-O, Zheng, W, Wareham, NJ, and Forouhi, NG
Abstract: The association between fish consumption and new-onset type 2 diabetes is inconsistent and differs according to geographical location. We examined the association between the total and types of fish consumption and type 2 diabetes using individual participant data from 28 prospective cohort studies from the Americas (6), Europe (15), the Western Pacific (6), and the Eastern Mediterranean (1) comprising 956,122 participants and 48,084 cases of incident type 2 diabetes. Incidence rate ratios (IRRs) for associations of total fish, shellfish, fatty, lean, fried, freshwater, and saltwater fish intake and type 2 diabetes were derived for each study, adjusting for a consistent set of confounders and combined across studies using random-effects meta-analysis. We stratified all analyses by sex due to observed interaction (p = 0.002) on the association between fish and type 2 diabetes. In women, for each 100 g/week higher intake the IRRs (95% CIs) of type 2 diabetes were 1.02 (1.01-1.03, I2 = 61%) for total fish, 1.04 (1.01-1.07, I2 = 46%) for fatty fish, and 1.02 (1.00-1.04, I2 = 33%) for lean fish. In men, all associations were null. In women, we observed variation by geographical location: IRRs for total fish were 1.03 (1.02-1.04, I2 = 0%) in the Americas and null in other regions. In conclusion, we found evidence of a neutral association between total fish intake and type 2 diabetes in men, but there was a modest positive association among women with heterogeneity across studies, which was partly explained by geographical location and types of fish intake. Future research should investigate the role of cooking methods, accompanying foods and environmental pollutants, but meanwhile, existing dietary regional, national, or international guidelines should continue to guide fish consumption within overall healthy dietary patterns.
Published: 2021

20. Blood n-3 fatty acid levels and total and cause-specific mortality from 17 prospective studies

Author: Harris, WS, Tintle, NL, Imamura, F, Qian, F, Korat, AVA, Marklund, M, Djousse, L, Bassett, JK, Carmichael, P-H, Chen, Y-Y, Hirakawa, Y, Kupers, LK, Laguzzi, F, Lankinen, M, Murphy, RA, Samieri, C, Senn, MK, Shi, P, Virtanen, JK, Brouwer, IA, Chien, K-L, Eiriksdottir, G, Forouhi, NG, Geleijnse, JM, Giles, GG, Gudnason, V, Helmer, C, Hodge, A, Jackson, R, Khaw, K-T, Laakso, M, Lai, H, Laurin, D, Leander, K, Lindsay, J, Micha, R, Mursu, J, Ninomiya, T, Post, W, Psaty, BM, Riserus, U, Robinson, JG, Shadyab, AH, Snetselaar, L, Sala-Vila, A, Sun, Y, Steffen, LM, Tsai, MY, Wareham, NJ, Wood, AC, Wu, JHY, Hu, F, Sun, Q, Siscovick, DS, Lemaitre, RN, Mozaffarian, D, Harris, WS, Tintle, NL, Imamura, F, Qian, F, Korat, AVA, Marklund, M, Djousse, L, Bassett, JK, Carmichael, P-H, Chen, Y-Y, Hirakawa, Y, Kupers, LK, Laguzzi, F, Lankinen, M, Murphy, RA, Samieri, C, Senn, MK, Shi, P, Virtanen, JK, Brouwer, IA, Chien, K-L, Eiriksdottir, G, Forouhi, NG, Geleijnse, JM, Giles, GG, Gudnason, V, Helmer, C, Hodge, A, Jackson, R, Khaw, K-T, Laakso, M, Lai, H, Laurin, D, Leander, K, Lindsay, J, Micha, R, Mursu, J, Ninomiya, T, Post, W, Psaty, BM, Riserus, U, Robinson, JG, Shadyab, AH, Snetselaar, L, Sala-Vila, A, Sun, Y, Steffen, LM, Tsai, MY, Wareham, NJ, Wood, AC, Wu, JHY, Hu, F, Sun, Q, Siscovick, DS, Lemaitre, RN, and Mozaffarian, D
Abstract: The health effects of omega-3 fatty acids have been controversial. Here we report the results of a de novo pooled analysis conducted with data from 17 prospective cohort studies examining the associations between blood omega-3 fatty acid levels and risk for all-cause mortality. Over a median of 16 years of follow-up, 15,720 deaths occurred among 42,466 individuals. We found that, after multivariable adjustment for relevant risk factors, risk for death from all causes was significantly lower (by 15-18%, at least p < 0.003) in the highest vs the lowest quintile for circulating long chain (20-22 carbon) omega-3 fatty acids (eicosapentaenoic, docosapentaenoic, and docosahexaenoic acids). Similar relationships were seen for death from cardiovascular disease, cancer and other causes. No associations were seen with the 18-carbon omega-3, alpha-linolenic acid. These findings suggest that higher circulating levels of marine n-3 PUFA are associated with a lower risk of premature death.
Published: 2021

21. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

Author: Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, Bakker, SJL, Da Providencia Costa, RB, Beulens, JWJ, Boer, JMA, Boutron-Ruault, MC, Brunner, EJ, Butterworth, AS, Cook, NR, Dahm, CC, Gansevoort, RT, Gillum, RF, Hansson, PO, Ikram, MK, Kronmal, RA, Pablos, DL, Malyutina, So, Ibañez, AM, Mathiesen, EB, Meade, TW, Meyer, HE, Moons, KGM, Nordestgaard, BG, Psaty, BM, Garcia, JRQ, Ridker, PM, C Sans, Schwartz, JE, Selmer, RM, Shipley, MJ, Tong, TYN, van der Schouw, YT, Verschuren, WMM, Wareham, NJ, Achenbach, S, Aleksandrova, K, Amiano, P, San Sebastian, D, Amouyel, P, Andersson, J, Bakker, S, Da Providencia Costa, R, Beulens, J, Blaha, M, Bobak, M, Boer, J, Bonet, C, Bonnet, F, Boutron-Ruault, M, Braaten, T, Brenner, H, Brunner, F, Brunner, E, Brunström, M, Buring, J, Butterworth, A, Capkova, N, Cesana, G, Chrysohoou, C, Colorado-Yohar, S, Cook, N, Cooper, C, Dahm, C, Davidson, K, Dennison, E, Di Castelnuovo, A, Donfrancesco, C, Dörr, M, Doryńska, A, Eliasson, M, Engström, G, Ferrari, P, Ferrario, M, Ford, I, Fu, M, Gansevoort, R, Giampaoli, S, Gillum, R, Gómez de la Cámara, A, Grassi, G, Hansson, P, Huculeci, R, Hveem, K, Iacoviello, L, Ikram, M, Jørgensen, T, Joseph, B, Jousilahti, P, Wouter Jukema, J, Kaaks, R, Katzke, V, Kavousi, M, Kiechl, S, Klotsche, J, König, W, Kronmal, R, Kubinova, R, Kucharska-Newton, A, Läll, K, Lehmann, N, Leistner, D, Linneberg, A, Pablos, D, Lorenz, T, Lu, W, Luksiene, D, Lyngbakken, M, Magnussen, C, Malyutina, S, Ibañez, A, Masala, G, Mathiesen, E, Matsushita, K, Meade, T, Melander, O, Meyer, H, Moons, K, Moreno-Iribas, C, Muller, D, Münzel, T, Nikitin, Y, Nordestgaard, B, Omland, T, Onland, C, Overvad, K, Packard, C, Pająk, A, Palmieri, L, Panagiotakos, D, Panico, S, Perez-Cornago, A, Peters, A, Pietilä, A, Pikhart, H, Psaty, B, Quarti-Trevano, F, Garcia, J, Riboli, E, Ridker, P, Rodriguez, B, Rodriguez-Barranco, M, Rosengren, A, Roussel, R, Sacerdote, C, S, S, Sattar, N, Schiborn, C, Schmidt, B, Schöttker, B, Schulze, M, Schwartz, J, Selmer, R, Shea, S, Shipley, M, Sieri, S, Söderberg, S, Sofat, R, Tamosiunas, A, Thorand, B, Tillmann, T, Tjønneland, A, Tong, T, Trichopoulou, A, Tumino, R, Tunstall-Pedoe, H, Tybjaerg-Hansen, A, Tzoulaki, J, van der Heijden, A, van der Schouw, Y, Verschuren, W, Völzke, H, Waldeyer, C, Wareham, N, Weiderpass, E, Weidinger, F, Wild, P, Willeit, J, Willeit, P, Wilsgaard, T, Woodward, M, Zeller, T, Zhang, D, Zhou, B, Bakker, SJL, Da Providencia Costa, RB, Beulens, JWJ, Boer, JMA, Boutron-Ruault, MC, Brunner, EJ, Butterworth, AS, Cook, NR, Dahm, CC, Gansevoort, RT, Gillum, RF, Hansson, PO, Ikram, MK, Kronmal, RA, Pablos, DL, Malyutina, So, Ibañez, AM, Mathiesen, EB, Meade, TW, Meyer, HE, Moons, KGM, Nordestgaard, BG, Psaty, BM, Garcia, JRQ, Ridker, PM, C Sans, Schwartz, JE, Selmer, RM, Shipley, MJ, Tong, TYN, van der Schouw, YT, Verschuren, WMM, and Wareham, NJ
Abstract: Aims: The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe. Methods and results : We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low-risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries. Conclusion : SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe.
Published: 2021

22. Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability

Author: Lagou, V, Mägi, R, Hottenga, JJ, Grallert, H, Perry, JR, Bouatia-Naji, N, Marullo, L, Rybin, D, Jansen, R, Min, JL, Dimas, AS, Ulrich, A, Zudina, L, Gådin, JR, Jiang, L, Faggian, A, Bonnefond, A, Fadista, J, Stathopoulou, MG, Isaacs, Aaron, Willems, SM, Navarro, P, Tanaka, T, Jackson, AU, Montasser, ME, O’Connell, JR, Bielak, LF, Webster, RJ, Saxena, R, Stafford, JM, Pourcain, BS, Timpson, NJ, Salo, P, Shin, SY, Amin, Najaf, Smith, AV, Li, G, Verweij, N, Goel, A, Ford, I, Johnson, PCD, Johnson, T, Kapur, K, Thorleifsson, G, Strawbridge, RJ, Rasmussen-Torvik, LJ, Esko, T, Mihailov, E, Fall, T, Fraser, RM, Mahajan, A, Kanoni, S, Giedraitis, V, Kleber, ME, Silbernagel, G, Meyer, J, Müller-Nurasyid, M, Ganna, A, Sarin, AP, Yengo, L, Shungin, D, Luan, J, Horikoshi, M, An, P, Sanna, S, Boettcher, Y, Rayner, NW, Nolte, IM, Zemunik, T, van Iperen, E, Kovacs, P, Hastie, ND, Wild, SH, McLachlan, S, Campbell, S, Polasek, O, Carlson, O, Egan, J, Kiess, W, Willemsen, G, Kuusisto, J, Laakso, M, Dimitriou, M, Hicks, AA, Rauramaa, R, Bandinelli, S, Thorand, B, Liu, Y, Miljkovic, I, Lind, L, Doney, A, Perola, M, Hingorani, A, Kivimaki, M, Kumari, M, Bennett, AJ, Groves, CJ, Herder, C, Koistinen, HA, Kinnunen, L, de Faire, U, Bakker, SJ, Uusitupa, M, Palmer, CN, Jukema, JW, Sattar, N, Pouta, A, Snieder, H, Boerwinkle, E, Pankow, JS, Magnusson, PKE, Krus, U, Scapoli, C, de Geus, EJCN, Blüher, M, Wolffenbuttel, BH, Province, MA, Abecasis, GR, Meigs, JB, Hovingh, GK, Lindström, J, Wilson, JF, Wright, AF, Dedoussis, GVZ, Bornstein, SR, Schwarz, PEH, Tönjes, A, Winkelmann, BR, Boehm, BO, März, W, Metspalu, A, Price, JF, Deloukas, P, Körner, A, Lakka, TA, Keinanen-Kiukaanniemi, SM, Saaristo, TE, Bergman, RN, Tuomilehto, J, Wareham, NJ, Langenberg, C, Männistö, S, Franks, PW, Hayward, C, Vitart, V, Kaprio, J, Visvikis-Siest, S, Balkau, B, Altshuler, D, Rudan, I, Stumvoll, M, Campbell, H, Duijn, Cornelia, Gieger, C, Illig, T, Ferrucci, L, Pedersen, NL, Pramstaller, PP, Boehnke, M, Frayling, TM, Shuldiner, AR, Peyser, PA, Kardia, SL, Palmer, LJ, Penninx, BWJH, Meneton, P, Harris, TB, Navis, G, van der Harst, P, Smith, GD, Forouhi, NG, Loos, RJ, Salomaa, V, Soranzo, N, Boomsma, DI, Groop, L, Tuomi, T, Hofman, Bert, Munroe, PB, Gudnason, V, Siscovick, DS, Watkins, H, Lecoeur, C, Vollenweider, P, Franco-Cereceda, A, Eriksson, P, Jarvelin, M R R, Stefansson, K, Hamsten, A, Nicholson, G, Karpe, F, Dermitzakis, ET, Lindgren, CM, McCarthy, MI, Froguel, P, Kaakinen, MA, Lyssenko, V, Watanabe, RM, Ingelsson, E, Florez, JC, Dupuis, J, Barroso, I, Morris, AP, Prokopenko, I, Lagou, V, Mägi, R, Hottenga, JJ, Grallert, H, Perry, JR, Bouatia-Naji, N, Marullo, L, Rybin, D, Jansen, R, Min, JL, Dimas, AS, Ulrich, A, Zudina, L, Gådin, JR, Jiang, L, Faggian, A, Bonnefond, A, Fadista, J, Stathopoulou, MG, Isaacs, Aaron, Willems, SM, Navarro, P, Tanaka, T, Jackson, AU, Montasser, ME, O’Connell, JR, Bielak, LF, Webster, RJ, Saxena, R, Stafford, JM, Pourcain, BS, Timpson, NJ, Salo, P, Shin, SY, Amin, Najaf, Smith, AV, Li, G, Verweij, N, Goel, A, Ford, I, Johnson, PCD, Johnson, T, Kapur, K, Thorleifsson, G, Strawbridge, RJ, Rasmussen-Torvik, LJ, Esko, T, Mihailov, E, Fall, T, Fraser, RM, Mahajan, A, Kanoni, S, Giedraitis, V, Kleber, ME, Silbernagel, G, Meyer, J, Müller-Nurasyid, M, Ganna, A, Sarin, AP, Yengo, L, Shungin, D, Luan, J, Horikoshi, M, An, P, Sanna, S, Boettcher, Y, Rayner, NW, Nolte, IM, Zemunik, T, van Iperen, E, Kovacs, P, Hastie, ND, Wild, SH, McLachlan, S, Campbell, S, Polasek, O, Carlson, O, Egan, J, Kiess, W, Willemsen, G, Kuusisto, J, Laakso, M, Dimitriou, M, Hicks, AA, Rauramaa, R, Bandinelli, S, Thorand, B, Liu, Y, Miljkovic, I, Lind, L, Doney, A, Perola, M, Hingorani, A, Kivimaki, M, Kumari, M, Bennett, AJ, Groves, CJ, Herder, C, Koistinen, HA, Kinnunen, L, de Faire, U, Bakker, SJ, Uusitupa, M, Palmer, CN, Jukema, JW, Sattar, N, Pouta, A, Snieder, H, Boerwinkle, E, Pankow, JS, Magnusson, PKE, Krus, U, Scapoli, C, de Geus, EJCN, Blüher, M, Wolffenbuttel, BH, Province, MA, Abecasis, GR, Meigs, JB, Hovingh, GK, Lindström, J, Wilson, JF, Wright, AF, Dedoussis, GVZ, Bornstein, SR, Schwarz, PEH, Tönjes, A, Winkelmann, BR, Boehm, BO, März, W, Metspalu, A, Price, JF, Deloukas, P, Körner, A, Lakka, TA, Keinanen-Kiukaanniemi, SM, Saaristo, TE, Bergman, RN, Tuomilehto, J, Wareham, NJ, Langenberg, C, Männistö, S, Franks, PW, Hayward, C, Vitart, V, Kaprio, J, Visvikis-Siest, S, Balkau, B, Altshuler, D, Rudan, I, Stumvoll, M, Campbell, H, Duijn, Cornelia, Gieger, C, Illig, T, Ferrucci, L, Pedersen, NL, Pramstaller, PP, Boehnke, M, Frayling, TM, Shuldiner, AR, Peyser, PA, Kardia, SL, Palmer, LJ, Penninx, BWJH, Meneton, P, Harris, TB, Navis, G, van der Harst, P, Smith, GD, Forouhi, NG, Loos, RJ, Salomaa, V, Soranzo, N, Boomsma, DI, Groop, L, Tuomi, T, Hofman, Bert, Munroe, PB, Gudnason, V, Siscovick, DS, Watkins, H, Lecoeur, C, Vollenweider, P, Franco-Cereceda, A, Eriksson, P, Jarvelin, M R R, Stefansson, K, Hamsten, A, Nicholson, G, Karpe, F, Dermitzakis, ET, Lindgren, CM, McCarthy, MI, Froguel, P, Kaakinen, MA, Lyssenko, V, Watanabe, RM, Ingelsson, E, Florez, JC, Dupuis, J, Barroso, I, Morris, AP, and Prokopenko, I
Abstract: Differences between sexes contribute to variation in the levels of fasting glucose and insulin. Epidemiological studies established a higher prevalence of impaired fasting glucose in men and impaired glucose tolerance in women, however, the genetic component underlying this phenomenon is not established. We assess sex-dimorphic (73,089/50,404 women and 67,506/47,806 men) and sex-combined (151,188/105,056 individuals) fasting glucose/fasting insulin genetic effects via genome-wide association study meta-analyses in individuals of European descent without diabetes. Here we report sex dimorphism in allelic effects on fasting insulin at IRS1 and ZNF12 loci, the latter showing higher RNA expression in whole blood in women compared to men. We also observe sex-homogeneous effects on fasting glucose at seven novel loci. Fasting insulin in women shows stronger genetic correlations than in men with waist-to-hip ratio and anorexia nervosa. Furthermore, waist-to-hip ratio is causally related to insulin resistance in women, but not in men. These results position dissection of metabolic and glycemic health sex dimorphism as a steppingstone for understanding differences in genetic effects between women and men in related phenotypes.
Published: 2021

23. Genome-wide meta-analysis of muscle weakness identifies 15 susceptibility loci in older men and women

Author: Jones, G, Trajanoska, Katerina, Santanasto, AJ, Stringa, Najada, Kuo, CL, Atkins, JL, Lewis, JR, Duong, TV, Hong, S, Biggs, ML, Luan, J, Sarnowski, C, Lunetta, KL, Tanaka, T, Wojczynski, MK, Cvejkus, R, Nethander, M, Ghasemi, S, Yang, J, Zillikens, M.C., Walter, S, Sicinski, K, Kague, E, Ackert-Bicknell, CL, Arking, DE, Windham, BG, Boerwinkle, E, Grove, ML, Graff, M, Spira, D, Demuth, I, Velde, N, de Groot, LCPCM, Psaty, BM, Odden, MC, Fohner, AE, Langenberg, C, Wareham, NJ, Bandinelli, S, Schoor, NM, Huisman, M, Tan, Q, Zmuda, J, Mellström, D, Karlsson, M, Bennett, DA, Buchman, AS, De Jager, PL, Uitterlinden, André, Völker, U, Kocher, T, Teumer, A, Rodriguéz-Mañas, L, García, FJ, Carnicero, JA, Herd, P, Bertram, L, Ohlsson, C, Murabito, JM, Melzer, D, Kuchel, GA, Ferrucci, L, Karasik, D, Rivadeneira, Fernando, Kiel, DP, Pilling, LC, Jones, G, Trajanoska, Katerina, Santanasto, AJ, Stringa, Najada, Kuo, CL, Atkins, JL, Lewis, JR, Duong, TV, Hong, S, Biggs, ML, Luan, J, Sarnowski, C, Lunetta, KL, Tanaka, T, Wojczynski, MK, Cvejkus, R, Nethander, M, Ghasemi, S, Yang, J, Zillikens, M.C., Walter, S, Sicinski, K, Kague, E, Ackert-Bicknell, CL, Arking, DE, Windham, BG, Boerwinkle, E, Grove, ML, Graff, M, Spira, D, Demuth, I, Velde, N, de Groot, LCPCM, Psaty, BM, Odden, MC, Fohner, AE, Langenberg, C, Wareham, NJ, Bandinelli, S, Schoor, NM, Huisman, M, Tan, Q, Zmuda, J, Mellström, D, Karlsson, M, Bennett, DA, Buchman, AS, De Jager, PL, Uitterlinden, André, Völker, U, Kocher, T, Teumer, A, Rodriguéz-Mañas, L, García, FJ, Carnicero, JA, Herd, P, Bertram, L, Ohlsson, C, Murabito, JM, Melzer, D, Kuchel, GA, Ferrucci, L, Karasik, D, Rivadeneira, Fernando, Kiel, DP, and Pilling, LC
Abstract: Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1p = 4 × 10−17), arthritis (GDF5p = 4 × 10−13), cell cycle control and cancer protection, regulation of transcription, and others involved in the development and maintenance of the musculoskeletal system. Using Mendelian randomization we report possible overlapping causal pathways, including diabetes susceptibility, haematological parameters, and the immune system. We conclude that muscle weakness in older adults has distinct mechanisms from continuous strength, including several pathways considered to be hallmarks of ageing.
Published: 2021

24. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

Author: Erzurumluoglu, AM, Liu, M, Jackson, VE, Barnes, DR, Datta, G, Melbourne, CA, Young, R, Batini, C, Surendran, P, Jiang, T, Adnan, SD, Afaq, S, Agrawal, A, Altmaier, E, Antoniou, AC, Asselbergs, FW, Baumbach, C, Beirut, L, Bertelsen, S, Boehnke, M, Bots, ML, Brazel, DM, Chambers, JC, Chang-Claude, J, Chen, C, Corley, J, Chou, Y-L, David, SP, de Boer, RA, de Leeuw, CA, Dennis, JG, Dominiczak, AF, Dunning, AM, Easton, DF, Eaton, C, Elliott, P, Evangelou, E, Faul, JD, Foroud, T, Goate, A, Gong, J, Grabe, HJ, Haessler, J, Haiman, C, Hallmans, G, Hammerschlag, AR, Harris, SE, Hattersley, A, Heath, A, Hsu, C, Iacono, WG, Kanoni, S, Kapoor, M, Kaprio, J, Kardia, SL, Karpe, F, Kontto, J, Kooner, JS, Kooperberg, C, Kuulasmaa, K, Laakso, M, Lai, D, Langenberg, C, Le, N, Lettre, G, Loukola, A, Luan, J, Madden, PAF, Mangino, M, Marioni, RE, Marouli, E, Marten, J, Martin, NG, McGue, M, Michailidou, K, Mihailov, E, Moayyeri, A, Moitry, M, Müller-Nurasyid, M, Naheed, A, Nauck, M, Neville, MJ, Nielsen, SF, North, K, Perola, M, Pharoah, PDP, Pistis, G, Polderman, TJ, Posthuma, D, Poulter, N, Qaiser, B, Rasheed, A, Reiner, A, Renström, F, Rice, J, Rohde, R, Rolandsson, O, Samani, NJ, Samuel, M, Schlessinger, D, Scholte, SH, Scott, RA, Sever, P, Shao, Y, Shrine, N, Smith, JA, Starr, JM, Stirrups, K, Stram, D, Stringham, HM, Tachmazidou, I, Tardif, J-C, Thompson, DJ, Tindle, HA, Tragante, V, Trompet, S, Turcot, V, Tyrrell, J, Vaartjes, I, van der Leij, AR, van der Meer, P, Varga, TV, Verweij, N, Völzke, H, Wareham, NJ, Warren, HR, Weir, DR, Weiss, S, Wetherill, L, Yaghootkar, H, Yavas, E, Jiang, Y, Chen, F, Zhan, X, Zhang, W, Zhao, W, Zhou, K, Amouyel, P, Blankenberg, S, Caulfield, MJ, Chowdhury, R, Cucca, F, Deary, IJ, Deloukas, P, Di Angelantonio, E, Ferrario, M, Ferrières, J, Franks, PW, Frayling, TM, Frossard, P, Hall, IP, Hayward, C, Jansson, J-H, Jukema, JW, Kee, F, Männistö, S, Metspalu, A, Munroe, PB, Nordestgaard, BG, Palmer, CNA, Salomaa, V, Sattar, N, Spector, T, Strachan, DP, Understanding Society Scientific Group, EPIC-CVD, GSCAN, Consortium for Genetics of Smoking Behaviour, CHD Exome+ Consortium, van der Harst, P, Zeggini, E, Saleheen, D, Butterworth, AS, Wain, LV, Abecasis, GR, Danesh, J, Tobin, MD, Vrieze, S, Liu, DJ, and Howson, JMM
Abstract: Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P
Published: 2020

25. Variants associated with HHIP expression have sex-differential effects on lung function [version 1; peer review: 2 approved]

Author: Fawcett, KA, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Van den Berge, M, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T., Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, PD, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, and Wain, LV
Subjects: genome-wide interaction study, HHIP, lcsh:R, lcsh:Medicine, lung function, genotyyppi, sukupuoli, hengityselimet, toimintakyky, expression, sex, lcsh:Q, geeniekspressio, geneettiset tekijät, lcsh:Science, keuhkot
Abstract: Background: Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P
Published: 2020

26. Sedentary Behaviour and Chronic Disease: Mechanisms and Future Directions

Author: Dempsey, Paddy, Matthews, CE, Dashti, SG, Doherty, AR, Bergouignan, A, van Roekel, EH, Dunstan, DW, Wareham, NJ, Yates, TE, Wijndaele, K, Lynch, BM, Dempsey, Paddy [0000-0002-1714-6087], Wareham, Nicholas [0000-0003-1422-2993], Wijndaele, Katrien [0000-0003-2199-7981], and Apollo - University of Cambridge Repository
Subjects: exercise, physiology, Chronic Disease, cardiometabolic, sitting, physical activity, Humans, epidemiology, mediation, measurement, Sedentary Behavior
Abstract: Recent updates to national physical activity guidelines now highlight the importance of reducing sedentary time. However, at present only general recommendations are possible (i.e. “Sit less, move more”). There remains a need to investigate the strength, temporality, specificity and dose-response nature of sedentary behaviour associations with chronic disease, along with potential underlying mechanisms. Stemming from a recent research workshop organised by the Sedentary Behaviour Council themed ‘‘Sedentary behaviour mechanisms—biological and behavioural pathways linking sitting to adverse health outcomes”, this paper aims to: 1) discuss existing challenges and scientific discussions within this advancing area of science, 2) highlight and discuss emerging areas of interest, and 3) point to pertinent future directions. A brief knowledge update is provided, reflecting upon current and evolving thinking/discussions, and the rapid accumulation of new evidence linking sedentary behaviour to chronic disease. Succinct research 'action-points' are made at the end of each section – spanning from measurement systems and analytic methods, genetic epidemiology, causal mediation and experimental studies, to biological and behavioural determinants and mechanisms. A better understanding of whether and how sedentary behaviour is causally related with chronic disease will allow for more meaningful conclusions in the future and assist in refining both clinical and public health policies/recommendations.
Published: 2020

27. Fatty acids in the de novo lipogenesis pathway and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies

Author: Imamura, F, Fretts, AM, Marklund, M, Ardisson Korat, AV, Yang, WS, Lankinen, M, Qureshi, W, Helmer, C, Chen, TA, Virtanen, JK, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CI, Brouwer, IA, Chien, KL, Chen, YY, Wood, AC, del Gobbo, LC, Djousse, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, HJ, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Senn, M, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Tuomainen, TP, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Lemaitre, RN, Mozaffarian, D, Forouhi, NG, Imamura, F, Fretts, AM, Marklund, M, Ardisson Korat, AV, Yang, WS, Lankinen, M, Qureshi, W, Helmer, C, Chen, TA, Virtanen, JK, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CI, Brouwer, IA, Chien, KL, Chen, YY, Wood, AC, del Gobbo, LC, Djousse, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, HJ, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Senn, M, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Tuomainen, TP, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Lemaitre, RN, Mozaffarian, D, and Forouhi, NG
Abstract: Background De novo lipogenesis (DNL) is the primary metabolic pathway synthesizing fatty acids from carbohydrates, protein, or alcohol. Our aim was to examine associations of in vivo levels of selected fatty acids (16:0, 16:1n7, 18:0, 18:1n9) in DNL with incidence of type 2 diabetes (T2D). Methods and findings Seventeen cohorts from 12 countries (7 from Europe, 7 from the United States, 1 from Australia, 1 from Taiwan; baseline years = 1970-1973 to 2006-2010) conducted harmonized individual-level analyses of associations of DNL-related fatty acids with incident T2D. In total, we evaluated 65,225 participants (mean ages = 52.3-75.5 years; % women = 20.4%-62.3% in 12 cohorts recruiting both sexes) and 15,383 incident cases of T2D over the 9-year follow-up on average. Cohort-specific association of each of 16:0, 16:1n7, 18:0, and 18:1n9 with incident T2D was estimated, adjusted for demographic factors, socioeconomic characteristics, alcohol, smoking, physical activity, dyslipidemia, hypertension, menopausal status, and adiposity. Cohort-specific associations were meta-analyzed with an inverse-variance-weighted approach. Each of the 4 fatty acids positively related to incident T2D. Relative risks (RRs) per cohort-specific range between midpoints of the top and bottom quintiles of fatty acid concentrations were 1.53 (1.41-1.66; p < 0.001) for 16:0, 1.40 (1.33-1.48; p < 0.001) for 16:1n-7, 1.14 (1.05-1.22; p = 0.001) for 18:0, and 1.16 (1.07-1.25; p < 0.001) for 18:1n9. Heterogeneity was seen across cohorts (I2 = 51.1%-73.1% for each fatty acid) but not explained by lipid fractions and global geographical regions. Further adjusted for triglycerides (and 16:0 when appropriate) to evaluate associations independent of overall DNL, the associations remained significant for 16:0, 16:1n7, and 18:0 but were attenuated for 18:1n9 (RR = 1.03, 95% confidence interval (CI) = 0.94-1.13). These findings had limitations in potential reverse causation and residual confounding by impreci
Published: 2020

28. Variants associated withHHIP expression have sex-differential effects on lung function

Author: Fawcett, KA, Wain, LV, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Van den Berge, M, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T, Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, Peter, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, Tobin, MD, Fawcett, KA, Wain, LV, Obeidat, M, Melbourne, C, Shrine, N, Guyatt, AL, John, C, Luan, J, Richmond, A, Moksnes, MR, Granell, R, Weiss, S, Imboden, M, May-Wilson, S, Hysi, P, Boutin, TS, Portas, L, Flexeder, C, Harris, SE, Wang, CA, Lyytikäinen, LP, Palviainen, T, Foong, RE, Keidel, D, Minelli, C, Langenberg, C, Bossé, Y, Van den Berge, M, Sin, DD, Hao, K, Campbell, A, Porteous, D, Padmanabhan, S, Smith, BH, Evans, DM, Ring, S, Langhammer, A, Hveem, K, Willer, C, Ewert, R, Stubbe, B, Pirastu, N, Klaric, L, Joshi, PK, Patasova, K, Massimo, M, Polasek, O, Starr, JM, Karrasch, S, Strauch, K, Meitinger, T, Rudan, I, Rantanen, T, Pietiläinen, K, Kähönen, M, Raitakari, OT, Hall, GL, Sly, Peter, Pennell, CE, Kaprio, J, Lehtimäki, T, Vitart, V, Deary, IJ, Jarvis, D, Wilson, JF, Spector, T, Probst-Hensch, N, Wareham, NJ, Völzke, H, Henderson, J, Strachan, DP, Brumpton, BM, Hayward, C, Hall, IP, and Tobin, MD
Abstract: Background: Lung function is highly heritable and differs between the sexes throughout life. However, little is known about sex-differential genetic effects on lung function. We aimed to conduct the first genome-wide genotype-by-sex interaction study on lung function to identify genetic effects that differ between males and females. Methods: We tested for interactions between 7,745,864 variants and sex on spirometry-based measures of lung function in UK Biobank (N=303,612), and sought replication in 75,696 independent individuals from the SpiroMeta consortium. Results: Five independent single-nucleotide polymorphisms (SNPs) showed genome-wide significant (P<5x10 -8) interactions with sex on lung function, and 21 showed suggestive interactions (P<1x10 -6). The strongest signal, from rs7697189 (chr4:145436894) on forced expiratory volume in 1 second (FEV 1) (P=3.15x10 -15), was replicated (P=0.016) in SpiroMeta. The C allele increased FEV 1 more in males (untransformed FEV 1 β=0.028 [SE 0.0022] litres) than females (β=0.009 [SE 0.0014] litres), and this effect was not accounted for by differential effects on height, smoking or pubertal age. rs7697189 resides upstream of the hedgehog-interacting protein ( HHIP) gene and was previously associated with lung function and HHIP lung expression. We found HHIP expression was significantly different between the sexes (P=6.90x10 -6), but we could not detect sex differential effects of rs7697189 on expression. Conclusions: We identified a novel genotype-by-sex interaction at a putative enhancer region upstream of the HHIP gene. Establishing the mechanism by which HHIP SNPs have different effects on lung function in males and females will be important for our understanding of lung health and diseases in both sexes.
Published: 2020

29. Experience of point-of-care HbA1c testing in the English National Health Service Diabetes Prevention Programme: an observational study

Author: Barron, E, Misra, S, English, E, John, WG, Sampson, M, Bachmann, MO, Barth, J, Oliver, N, Alberti, KGMM, Bakhai, C, O'Neill, S, Young, B, Wareham, NJ, Khunti, K, Jebb, S, Smith, J, Valabhji, J, Barron, E, Misra, S, English, E, John, WG, Sampson, M, Bachmann, MO, Barth, J, Oliver, N, Alberti, KGMM, Bakhai, C, O'Neill, S, Young, B, Wareham, NJ, Khunti, K, Jebb, S, Smith, J, and Valabhji, J
Abstract: INTRODUCTION: To report the observations of point-of-care (POC) glycated hemoglobin (HbA1c) testing in people with non-diabetic hyperglycemia (NDH; HbA1c 42-47 mmol/mol (6.0%-6.4%)), applied in community settings, within the English National Health Service Diabetes Prevention Programme (NHS DPP). RESEARCH DESIGN AND METHODS: A service evaluation assessing prospectively collected national service-level data from the NHS DPP, using data from the first referral received in June 2016-October 2018. Individuals were referred to the NHS DPP with a laboratory-measured HbA1c in the NDH range and had a repeat HbA1c measured at first attendance of the program using one of three POC devices: DCA Vantage, Afinion or A1C Now+. Differences between the referral and POC HbA1c and the SD of the POC HbA1c were calculated. The factors associated with the difference in HbA1c and the association between POC HbA1c result and subsequent attendance of the NHS DPP were also evaluated. RESULTS: Data from 73 703 participants demonstrated a significant mean difference between the referral and POC HbA1c of -2.48 mmol/mol (-0.23%) (t=157, p<0.001) with significant differences in the mean difference between devices (F(2, 73 700)=738, p<0.001). The SD of POC HbA1c was 4.46 mmol/mol (0.41%) with significant differences in SDs between devices (F(2, 73 700)=1542, p<0.001). Participants who were older, from more deprived areas and from Asian, black and mixed ethnic groups were associated with smaller HbA1c differences. Normoglycemic POC HbA1c versus NDH POC HbA1c values were associated with lower subsequent attendance at behavioral interventions (58% vs 67%, p<0.001). CONCLUSION: POC HbA1c testing in community settings was associated with significantly lower HbA1c values when compared with laboratory-measured referrals. Acknowledging effects of regression to the mean, we found that these differences were also associated with POC method, location, individual patient factors and time between measurements
Published: 2020

30. Fatty acids in the de novo lipogenesis pathway and incidence of type 2 diabetes: A pooled analysis of prospective cohort studies

Author: Lin, X, Imamura, F, Fretts, AM, Marklund, M, Ardisson Korat, AV, Yang, W-S, Lankinen, M, Qureshi, W, Helmer, C, Chen, T-A, Virtanen, JK, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CI, Brouwer, IA, Chien, K-L, Chen, Y-Y, Wood, AC, del Gobbo, LC, Djousse, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, H-J, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Senn, M, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Tuomainen, T-P, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Lemaitre, RN, Mozaffarian, D, Forouhi, NG, Lin, X, Imamura, F, Fretts, AM, Marklund, M, Ardisson Korat, AV, Yang, W-S, Lankinen, M, Qureshi, W, Helmer, C, Chen, T-A, Virtanen, JK, Wong, K, Bassett, JK, Murphy, R, Tintle, N, Yu, CI, Brouwer, IA, Chien, K-L, Chen, Y-Y, Wood, AC, del Gobbo, LC, Djousse, L, Geleijnse, JM, Giles, GG, de Goede, J, Gudnason, V, Harris, WS, Hodge, A, Hu, F, Koulman, A, Laakso, M, Lind, L, Lin, H-J, McKnight, B, Rajaobelina, K, Riserus, U, Robinson, JG, Samieri, C, Senn, M, Siscovick, DS, Soedamah-Muthu, SS, Sotoodehnia, N, Sun, Q, Tsai, MY, Tuomainen, T-P, Uusitupa, M, Wagenknecht, LE, Wareham, NJ, Wu, JHY, Micha, R, Lemaitre, RN, Mozaffarian, D, and Forouhi, NG
Abstract: BACKGROUND: De novo lipogenesis (DNL) is the primary metabolic pathway synthesizing fatty acids from carbohydrates, protein, or alcohol. Our aim was to examine associations of in vivo levels of selected fatty acids (16:0, 16:1n7, 18:0, 18:1n9) in DNL with incidence of type 2 diabetes (T2D). METHODS AND FINDINGS: Seventeen cohorts from 12 countries (7 from Europe, 7 from the United States, 1 from Australia, 1 from Taiwan; baseline years = 1970-1973 to 2006-2010) conducted harmonized individual-level analyses of associations of DNL-related fatty acids with incident T2D. In total, we evaluated 65,225 participants (mean ages = 52.3-75.5 years; % women = 20.4%-62.3% in 12 cohorts recruiting both sexes) and 15,383 incident cases of T2D over the 9-year follow-up on average. Cohort-specific association of each of 16:0, 16:1n7, 18:0, and 18:1n9 with incident T2D was estimated, adjusted for demographic factors, socioeconomic characteristics, alcohol, smoking, physical activity, dyslipidemia, hypertension, menopausal status, and adiposity. Cohort-specific associations were meta-analyzed with an inverse-variance-weighted approach. Each of the 4 fatty acids positively related to incident T2D. Relative risks (RRs) per cohort-specific range between midpoints of the top and bottom quintiles of fatty acid concentrations were 1.53 (1.41-1.66; p < 0.001) for 16:0, 1.40 (1.33-1.48; p < 0.001) for 16:1n-7, 1.14 (1.05-1.22; p = 0.001) for 18:0, and 1.16 (1.07-1.25; p < 0.001) for 18:1n9. Heterogeneity was seen across cohorts (I2 = 51.1%-73.1% for each fatty acid) but not explained by lipid fractions and global geographical regions. Further adjusted for triglycerides (and 16:0 when appropriate) to evaluate associations independent of overall DNL, the associations remained significant for 16:0, 16:1n7, and 18:0 but were attenuated for 18:1n9 (RR = 1.03, 95% confidence interval (CI) = 0.94-1.13). These findings had limitations in potential reverse causation and residual confounding by impre
Published: 2020

31. Autoimmunity plays a role in the onset of diabetes after 40 years of age

Author: Rolandsson, O, Hampe, CS, Sharp, SJ, Ardanaz, E, Boeing, H, Fagherazzi, G, Mancini, FR, Nilsson, PM, Overvad, K, Chirlaque, M-D, Dorronsoro, M, Gunter, MJ, Kaaks, R, Key, TJ, Khaw, K-T, Krogh, V, Kuehn, T, Palli, D, Panico, S, Sacerdote, C, Sanchez, M-J, Severi, G, Spijkerman, AMW, Tumino, R, van der Schouw, YT, Riboli, E, Forouhi, NG, Langenberg, C, Wareham, NJ, Rolandsson, O, Hampe, CS, Sharp, SJ, Ardanaz, E, Boeing, H, Fagherazzi, G, Mancini, FR, Nilsson, PM, Overvad, K, Chirlaque, M-D, Dorronsoro, M, Gunter, MJ, Kaaks, R, Key, TJ, Khaw, K-T, Krogh, V, Kuehn, T, Palli, D, Panico, S, Sacerdote, C, Sanchez, M-J, Severi, G, Spijkerman, AMW, Tumino, R, van der Schouw, YT, Riboli, E, Forouhi, NG, Langenberg, C, and Wareham, NJ
Abstract: AIMS/HYPOTHESIS: Type 1 and type 2 diabetes differ with respect to pathophysiological factors such as beta cell function, insulin resistance and phenotypic appearance, but there may be overlap between the two forms of diabetes. However, there are relatively few prospective studies that have characterised the relationship between autoimmunity and incident diabetes. We investigated associations of antibodies against the 65 kDa isoform of GAD (GAD65) with type 1 diabetes and type 2 diabetes genetic risk scores and incident diabetes in adults in European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct, a case-cohort study nested in the EPIC cohort. METHODS: GAD65 antibodies were analysed in EPIC participants (over 40 years of age and free of known diabetes at baseline) by radioligand binding assay in a random subcohort (n = 15,802) and in incident diabetes cases (n = 11,981). Type 1 diabetes and type 2 diabetes genetic risk scores were calculated. Associations between GAD65 antibodies and incident diabetes were estimated using Prentice-weighted Cox regression. RESULTS: GAD65 antibody positivity at baseline was associated with development of diabetes during a median follow-up time of 10.9 years (HR for GAD65 antibody positive vs negative 1.78; 95% CI 1.43, 2.20) after adjustment for sex, centre, physical activity, smoking status and education. The genetic risk score for type 1 diabetes but not type 2 diabetes was associated with GAD65 antibody positivity in both the subcohort (OR per SD genetic risk 1.24; 95% CI 1.03, 1.50) and incident cases (OR 1.97; 95% CI 1.72, 2.26) after adjusting for age and sex. The risk of incident diabetes in those in the top tertile of the type 1 diabetes genetic risk score who were also GAD65 antibody positive was 3.23 (95% CI 2.10, 4.97) compared with all other individuals, suggesting that 1.8% of incident diabetes in adults was attributable to this combination of risk factors. CONCLUSIONS/INTERPRETATION: Our study indica
Published: 2020

32. Lifestyle factors and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study

Author: Freisling, H, Viallon, V, Lennon, H, Bagnardi, V, Ricci, C, Butterworth, AS, Sweeting, M, Muller, D, Romieu, I, Bazelle, P, Kvaskoff, M, Arveux, P, Severi, G, Bamia, C, Kuehn, T, Kaaks, R, Bergmann, M, Boeing, H, Tjonneland, A, Olsen, A, Overvad, K, Dahm, CC, Menendez, V, Agudo, A, Sanchez, M-J, Amiano, P, Santiuste, C, Gurrea, AB, Tong, TYN, Schmidt, JA, Tzoulaki, I, Tsilidis, KK, Ward, H, Palli, D, Agnoli, C, Tumino, R, Ricceri, F, Panico, S, Picavet, HSJ, Bakker, M, Monninkhof, E, Nilsson, P, Manjer, J, Rolandsson, O, Thysell, E, Weiderpass, E, Jenab, M, Riboli, E, Vineis, P, Danesh, J, Wareham, NJ, Gunter, MJ, Ferrari, P, Freisling, H, Viallon, V, Lennon, H, Bagnardi, V, Ricci, C, Butterworth, AS, Sweeting, M, Muller, D, Romieu, I, Bazelle, P, Kvaskoff, M, Arveux, P, Severi, G, Bamia, C, Kuehn, T, Kaaks, R, Bergmann, M, Boeing, H, Tjonneland, A, Olsen, A, Overvad, K, Dahm, CC, Menendez, V, Agudo, A, Sanchez, M-J, Amiano, P, Santiuste, C, Gurrea, AB, Tong, TYN, Schmidt, JA, Tzoulaki, I, Tsilidis, KK, Ward, H, Palli, D, Agnoli, C, Tumino, R, Ricceri, F, Panico, S, Picavet, HSJ, Bakker, M, Monninkhof, E, Nilsson, P, Manjer, J, Rolandsson, O, Thysell, E, Weiderpass, E, Jenab, M, Riboli, E, Vineis, P, Danesh, J, Wareham, NJ, Gunter, MJ, and Ferrari, P
Abstract: BACKGROUND: Although lifestyle factors have been studied in relation to individual non-communicable diseases (NCDs), their association with development of a subsequent NCD, defined as multimorbidity, has been scarcely investigated. The aim of this study was to investigate associations between five lifestyle factors and incident multimorbidity of cancer and cardiometabolic diseases. METHODS: In this prospective cohort study, 291,778 participants (64% women) from seven European countries, mostly aged 43 to 58 years and free of cancer, cardiovascular disease (CVD), and type 2 diabetes (T2D) at recruitment, were included. Incident multimorbidity of cancer and cardiometabolic diseases was defined as developing subsequently two diseases including first cancer at any site, CVD, and T2D in an individual. Multi-state modelling based on Cox regression was used to compute hazard ratios (HR) and 95% confidence intervals (95% CI) of developing cancer, CVD, or T2D, and subsequent transitions to multimorbidity, in relation to body mass index (BMI), smoking status, alcohol intake, physical activity, adherence to the Mediterranean diet, and their combination as a healthy lifestyle index (HLI) score. Cumulative incidence functions (CIFs) were estimated to compute 10-year absolute risks for transitions from healthy to cancer at any site, CVD (both fatal and non-fatal), or T2D, and to subsequent multimorbidity after each of the three NCDs. RESULTS: During a median follow-up of 11 years, 1910 men and 1334 women developed multimorbidity of cancer and cardiometabolic diseases. A higher HLI, reflecting healthy lifestyles, was strongly inversely associated with multimorbidity, with hazard ratios per 3-unit increment of 0.75 (95% CI, 0.71 to 0.81), 0.84 (0.79 to 0.90), and 0.82 (0.77 to 0.88) after cancer, CVD, and T2D, respectively. After T2D, the 10-year absolute risks of multimorbidity were 40% and 25% for men and women, respectively, with unhealthy lifestyle, and 30% and 18% for men and
Published: 2020

33. Blood pressure and risk of cancer in the European Prospective Investigation into Cancer and Nutrition

Author: Christakoudi, S, Kakourou, A, Markozannes, G, Tzoulaki, I, Weiderpass, E, Brennan, P, Gunter, M, Dahm, CC, Overvad, K, Olsen, A, Tjonneland, A, Boutron-Ruault, M-C, Madika, A-L, Severi, G, Katzke, V, Kuehn, T, Bergmann, MM, Boeing, H, Karakatsani, A, Martimianaki, G, Thriskos, P, Masala, G, Sieri, S, Panico, S, Tumino, R, Ricceri, F, Agudo, A, Redondo-Sanchez, D, Colorado-Yohar, SM, Mokoroa, O, Melander, O, Stocks, T, Haggstrom, C, Harlid, S, Bueno-de-Mesquita, B, van Gils, CH, Vermeulen, RC, Khaw, K-T, Wareham, NJ, Tong, TYN, Freisling, H, Johansson, M, Lennon, H, AUne, D, Ribolil, E, Trichopoulos, D, Trichopoulou, A, Tsilidis, KK, Christakoudi, S, Kakourou, A, Markozannes, G, Tzoulaki, I, Weiderpass, E, Brennan, P, Gunter, M, Dahm, CC, Overvad, K, Olsen, A, Tjonneland, A, Boutron-Ruault, M-C, Madika, A-L, Severi, G, Katzke, V, Kuehn, T, Bergmann, MM, Boeing, H, Karakatsani, A, Martimianaki, G, Thriskos, P, Masala, G, Sieri, S, Panico, S, Tumino, R, Ricceri, F, Agudo, A, Redondo-Sanchez, D, Colorado-Yohar, SM, Mokoroa, O, Melander, O, Stocks, T, Haggstrom, C, Harlid, S, Bueno-de-Mesquita, B, van Gils, CH, Vermeulen, RC, Khaw, K-T, Wareham, NJ, Tong, TYN, Freisling, H, Johansson, M, Lennon, H, AUne, D, Ribolil, E, Trichopoulos, D, Trichopoulou, A, and Tsilidis, KK
Abstract: Several studies have reported associations of hypertension with cancer, but not all results were conclusive. We examined the association of systolic (SBP) and diastolic (DBP) blood pressure with the development of incident cancer at all anatomical sites in the European Prospective Investigation into Cancer and Nutrition (EPIC). Hazard ratios (HRs) (95% confidence intervals) were estimated using multivariable Cox proportional hazards models, stratified by EPIC-participating center and age at recruitment, and adjusted for sex, education, smoking, body mass index, physical activity, diabetes and dietary (in women also reproductive) factors. The study included 307,318 men and women, with an average follow-up of 13.7 (standard deviation 4.4) years and 39,298 incident cancers. We confirmed the expected positive association with renal cell carcinoma: HR = 1.12 (1.08-1.17) per 10 mm Hg higher SBP and HR = 1.23 (1.14-1.32) for DBP. We additionally found positive associations for esophageal squamous cell carcinoma (SCC): HR = 1.16 (1.07-1.26) (SBP), HR = 1.31 (1.13-1.51) (DBP), weaker for head and neck cancers: HR = 1.08 (1.04-1.12) (SBP), HR = 1.09 (1.01-1.17) (DBP) and, similarly, for skin SCC, colon cancer, postmenopausal breast cancer and uterine adenocarcinoma (AC), but not for esophageal AC, lung SCC, lung AC or uterine endometroid cancer. We observed weak inverse associations of SBP with cervical SCC: HR = 0.91 (0.82-1.00) and lymphomas: HR = 0.97 (0.93-1.00). There were no consistent associations with cancers in other locations. Our results are largely compatible with published studies and support weak associations of blood pressure with cancers in specific locations and morphologies.
Published: 2020

34. Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Author: Surendran, P, Feofanova, E, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, A, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Edwards, DRV, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, de Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, T, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, Y, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, A, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Smith, GD, de Boer, RA, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, M, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, J, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, van der Harst, P, van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, D, Levy, D, Newton-Cheh, C, Munroe, PB, Howson, JMM, Surendran, P, Feofanova, E, Lahrouchi, N, Ntalla, I, Karthikeyan, S, Cook, J, Chen, L, Mifsud, B, Yao, C, Kraja, AT, Cartwright, JH, Hellwege, JN, Giri, A, Tragante, V, Thorleifsson, G, Liu, DJ, Prins, BP, Stewart, ID, Cabrera, CP, Eales, JM, Akbarov, A, Auer, PL, Bielak, LF, Bis, JC, Braithwaite, VS, Brody, JA, Daw, EW, Warren, HR, Drenos, F, Nielsen, SF, Faul, JD, Fauman, EB, Fava, C, Ferreira, T, Foley, CN, Franceschini, N, Gao, H, Giannakopoulou, O, Giulianini, F, Gudbjartsson, DF, Guo, X, Harris, SE, Havulinna, AS, Helgadottir, A, Huffman, JE, Hwang, S-J, Kanoni, S, Kontto, J, Larson, MG, Li-Gao, R, Lindstrom, J, Lotta, LA, Lu, Y, Luan, J, Mahajan, A, Malerba, G, Masca, NGD, Mei, H, Menni, C, Mook-Kanamori, DO, Mosen-Ansorena, D, Muller-Nurasyid, M, Pare, G, Paul, DS, Perola, M, Poveda, A, Rauramaa, R, Richard, M, Richardson, TG, Sepulveda, N, Sim, X, Smith, A, Smith, JA, Staley, JR, Stanakova, A, Sulem, P, Theriault, S, Thorsteinsdottir, U, Trompet, S, Varga, TV, Edwards, DRV, Veronesi, G, Weiss, S, Willems, SM, Yao, J, Young, R, Yu, B, Zhang, W, Zhao, J-H, Zhao, W, Evangelou, E, Aeschbacher, S, Asllanaj, E, Blankenberg, S, Bonnycastle, LL, Bork-Jensen, J, Brandslund, I, Braund, PS, Burgess, S, Cho, K, Christensen, C, Connell, J, de Mutsert, R, Dominiczak, AF, Dorr, M, Eiriksdottir, G, Farmaki, A-E, Gaziano, JM, Grarup, N, Grove, ML, Hallmans, G, Hansen, T, Have, CT, Heiss, G, Jorgensen, ME, Jousilahti, P, Kajantie, E, Kamat, M, Karajamaki, A, Karpe, F, Koistinen, HA, Kovesdy, CP, Kuulasmaa, K, Laatikainen, T, Lannfelt, L, Lee, I-T, Lee, W-J, Linneberg, A, Martin, LW, Moitry, M, Nadkarni, G, Neville, MJ, Palmer, CNA, Papanicolaou, GJ, Pedersen, O, Peters, J, Poulter, N, Rasheed, A, Rasmussen, KL, Rayner, NW, Magi, R, Renstrom, F, Rettig, R, Rossouw, J, Schreiner, PJ, Sever, PS, Sigurdsson, EL, Skaaby, T, Sun, Y, Sundstrom, J, Thorgeirsson, G, Esko, T, Trabetti, E, Tsao, PS, Tuomi, T, Turner, ST, Tzoulaki, I, Vaartjes, I, Vergnaud, A-C, Willer, CJ, Wilson, PWF, Witte, DR, Yonova-Doing, E, Zhang, H, Aliya, N, Almgren, P, Amouyel, P, Asselbergs, FW, Barnes, MR, Blakemore, A, Boehnke, M, Bots, ML, Bottinger, EP, Buring, JE, Chambers, JC, Chen, Y-DI, Chowdhury, R, Conen, D, Correa, A, Smith, GD, de Boer, RA, Deary, IJ, Dedoussis, G, Deloukas, P, Di Angelantonio, E, Elliott, P, Felix, SB, Ferrieres, J, Ford, I, Fornage, M, Franks, PW, Franks, S, Frossard, P, Gambaro, G, Gaunt, TR, Groop, L, Gudnason, V, Harris, TB, Hayward, C, Hennig, BJ, Herzig, K-H, Ingelsson, E, Tuomilehto, J, Jarvelin, M-R, Jukema, JW, Kardia, SLR, Kee, F, Kooner, JS, Kooperberg, C, Launer, LJ, Lind, L, Loos, RJF, Majumder, AAS, Laakso, M, McCarthy, M, Melander, O, Mohlke, KL, Murray, AD, Nordestgaard, BG, Orho-Melander, M, Packard, CJ, Padmanabhan, S, Palmas, W, Polasek, O, Porteous, DJ, Prentice, AM, Province, MA, Relton, CL, Rice, K, Ridker, PM, Rolandsson, O, Rosendaal, FR, Rotter, J, Rudan, I, Salomaa, V, Samani, NJ, Sattar, N, Sheu, WH-H, Smith, BH, Soranzo, N, Spector, TD, Starr, JM, Sebert, S, Taylor, KD, Lakka, TA, Timpson, NJ, Tobin, MD, van der Harst, P, van der Meer, P, Ramachandran, VS, Verweij, N, Virtamo, J, Volker, U, Weir, DR, Zeggini, E, Charchar, FJ, Wareham, NJ, Langenberg, C, Tomaszewski, M, Butterworth, AS, Caulfield, MJ, Danesh, J, Edwards, TL, Holm, H, Hung, AM, Lindgren, CM, Liu, C, Manning, AK, Morris, AP, Morrison, AC, O'Donnell, CJ, Psaty, BM, Saleheen, D, Stefansson, K, Boerwinkle, E, Chasman, D, Levy, D, Newton-Cheh, C, Munroe, PB, and Howson, JMM
Abstract: Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 × 10-8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets.
Published: 2020

35. Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length

Author: Li, C, Stoma, S, Lotta, LA, Warner, S, Albrecht, E, Allione, A, Arp, PP, Broer, L, Buxton, JL, Alves, ADSC, Deelen, J, Fedko, IO, Gordon, SD, Jiang, T, Karlsson, R, Kerrison, N, Loe, TK, Mangino, M, Milaneschi, Y, Miraglio, B, Pervjakova, N, Russo, A, Surakka, I, van der Spek, A, Verhoeven, JE, Amin, N, Beekman, M, Blakemore, A, Canzian, F, Hamby, SE, Hottenga, J-J, Jones, PD, Jousilahti, P, Magi, R, Medland, SE, Montgomery, GW, Nyholt, DR, Perola, M, Pietilainen, KH, Salomaa, V, Sillanpaa, E, Suchiman, HE, van Heemst, D, Willemsen, G, Agudo, A, Boeing, H, Boomsma, D, Chirlaque, M-D, Fagherazzi, G, Ferrari, P, Franks, P, Gieger, C, Eriksson, JG, Gunter, M, Hagg, S, Hovatta, I, Imaz, L, Kaprio, J, Kaaks, R, Key, T, Krogh, V, Martin, NG, Melander, O, Metspalu, A, Moreno, C, Onland-Moret, NC, Nilsson, P, Ong, KK, Overvad, K, Palli, D, Panico, S, Pedersen, NL, Penninx, BWJH, Ramon Quiros, J, Riitta Jarvelin, M, Rodriguez-Barranco, M, Scott, RA, Severi, G, Slagboom, PE, Spector, TD, Tjonneland, A, Trichopoulou, A, Tumino, R, Uitterlinden, AG, van der Schouw, YT, van Duijn, CM, Weiderpass, E, Denchi, EL, Matullo, G, Butterworth, AS, Danesh, J, Samani, NJ, Wareham, NJ, Nelson, CP, Langenberg, C, Codd, V, Li, C, Stoma, S, Lotta, LA, Warner, S, Albrecht, E, Allione, A, Arp, PP, Broer, L, Buxton, JL, Alves, ADSC, Deelen, J, Fedko, IO, Gordon, SD, Jiang, T, Karlsson, R, Kerrison, N, Loe, TK, Mangino, M, Milaneschi, Y, Miraglio, B, Pervjakova, N, Russo, A, Surakka, I, van der Spek, A, Verhoeven, JE, Amin, N, Beekman, M, Blakemore, A, Canzian, F, Hamby, SE, Hottenga, J-J, Jones, PD, Jousilahti, P, Magi, R, Medland, SE, Montgomery, GW, Nyholt, DR, Perola, M, Pietilainen, KH, Salomaa, V, Sillanpaa, E, Suchiman, HE, van Heemst, D, Willemsen, G, Agudo, A, Boeing, H, Boomsma, D, Chirlaque, M-D, Fagherazzi, G, Ferrari, P, Franks, P, Gieger, C, Eriksson, JG, Gunter, M, Hagg, S, Hovatta, I, Imaz, L, Kaprio, J, Kaaks, R, Key, T, Krogh, V, Martin, NG, Melander, O, Metspalu, A, Moreno, C, Onland-Moret, NC, Nilsson, P, Ong, KK, Overvad, K, Palli, D, Panico, S, Pedersen, NL, Penninx, BWJH, Ramon Quiros, J, Riitta Jarvelin, M, Rodriguez-Barranco, M, Scott, RA, Severi, G, Slagboom, PE, Spector, TD, Tjonneland, A, Trichopoulou, A, Tumino, R, Uitterlinden, AG, van der Schouw, YT, van Duijn, CM, Weiderpass, E, Denchi, EL, Matullo, G, Butterworth, AS, Danesh, J, Samani, NJ, Wareham, NJ, Nelson, CP, Langenberg, C, and Codd, V
Abstract: Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1, PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease.
Published: 2020

36. Cross-sectional association between total level and type of alcohol consumption and glycosylated haemoglobin level: the EPIC-Norfolk Study

Author: Harding, A-H, Sargeant, LA, Khaw, K-T, Welch, A, Oakes, S, Luben, RN, Bingham, S, Day, NE, and Wareham, NJ
Published: 2002
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37. Fruit and vegetable intake and population glycosylated haemoglobin levels: the EPIC-Norfolk Study

Author: Sargeant, LA, Khaw, KT, Bingham, S, Day, NE, Luben, RN, Oakes, S, Welch, A, and Wareham, NJ
Published: 2001
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38. A combined heart rate and movement sensor: proof of concept and preliminary testing study

Author: Rennie, K, Rowsell, T, Jebb, SA, Holburn, D, and Wareham, NJ
Published: 2000
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39. Effects of body size and sociodemographic characteristics on differences between self-reporte and measured anthropometric data in middle-aged men and women: the EPIC-Norfolk study

Author: Park, JY, Mitrou, PN, Keogh, RH, Luben, RN, Wareham, NJ, and Khaw, K-T
Published: 2011
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40. OP27 Sociodemographic and lifestyle predictors of incident hospital admissions with multimorbidity in a general population 1999–2019: the EPIC-Norfolk cohort

Author: Luben, RN, primary, Hayat, SA, additional, Wareham, NJ, additional, Pharoah, PD, additional, and Khaw, KT, additional
Published: 2020
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41. P67 Usual physical activity and subsequent hospital usage over 20 years in a general population: the EPIC-Norfolk cohort

Author: Luben, RN, primary, Hayat, SA, additional, Wareham, NJ, additional, Pharoah, PD, additional, and Khaw, KT, additional
Published: 2020
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42. Dietary glycaemic index, glycaemic load and subsequent changes of weight and waist circumference in European men and women

Author: Du, H, van der A, DL, van Bakel, MME, Slimani, N, Forouhi, NG, Wareham, NJ, Halkjær, J, Tjønneland, A, Jakobsen, MU, Overvad, K, Schulze, MB, Buijsse, B, Boeing, H, Palli, D, Masala, G, Sørensen, TIA, Saris, WHM, and Feskens, EJM
Published: 2009
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43. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes (vol 50, pg 524, 2018)

Author: Malik, R, Chauhan, G, Traylor, M, Sargurupremraj, M, Okada, Y, Mishra, A, Rutten-Jacobs, L, Giese, A-K, Van der Laan, SW, Gretarsdottir, S, Anderson, CD, Chong, M, Adams, HHH, Ago, T, Almgren, P, Amouyel, P, Ay, H, Bartz, TM, Benavente, OR, Bevan, S, Boncoraglio, GB, Brown, RD, Butterworth, AS, Carrera, C, Carty, CL, Chasman, DI, Chen, W-M, Cole, JW, Correa, A, Cotlarciuc, I, Cruchaga, C, Danesh, J, De Bakker, PIW, DeStefano, AL, Den Hoed, M, Duan, Q, Engelter, ST, Falcone, GJ, Gottesman, RF, Grewal, RP, Gudnason, V, Gustafsson, S, Haessler, J, Harris, TB, Hassan, A, Havulinna, AS, Heckbert, SR, Holliday, EG, Howard, G, Hsu, F-C, Hyacinth, IH, Ikram, MA, Ingelsson, E, Irvin, MR, Jian, X, Jimenez-Conde, J, Johnson, JA, Jukema, JW, Kanai, M, Keene, KL, Kissela, BM, Kleindorfer, DO, Kooperberg, C, Kubo, M, Lange, LA, Langefeld, CD, Langenberg, C, Launer, LJ, Lee, J-M, Lemmens, R, Leys, D, Lewis, CM, Lin, W-Y, Lindgren, AG, Lorentzen, E, Magnusson, PK, Maguire, J, Manichaikul, A, McArdle, PF, Meschia, JF, Mitchell, BD, Mosley, TH, Nalls, MA, Ninomiya, T, O'Donnell, MJ, Psaty, BM, Pulit, SL, Rannikmae, K, Reiner, AP, Rexrode, KM, Rice, K, Rich, SS, Ridker, PM, Rost, NS, Rothwell, PM, Rotter, JI, Rundek, T, Sacco, RL, Sakaue, S, Sale, MM, Salomaa, V, Sapkota, BR, Schmidt, R, Schmidt, CO, Schminke, U, Sharma, P, Slowik, A, Sudlow, CLM, Tanislav, C, Tatlisumak, T, Taylor, KD, Thijs, VNS, Thorleifsson, G, Thorsteinsdottir, U, Tiedt, S, Trompet, S, Tzourio, C, Van Duijn, CM, Walters, M, Wareham, NJ, Wassertheil-Smoller, S, Wilson, JG, Wiggins, KL, Yang, Q, Yusuf, S, Bis, JC, Pastinen, T, Ruusalepp, A, Schadt, EE, Koplev, S, Bjorkegren, JLM, Codoni, V, Civelek, M, Smith, NL, Tregouet, DA, Christophersen, IE, Roselli, C, Lubitz, SA, Ellinor, PT, Tai, ES, Kooner, JS, Kato, N, He, J, Van der Harst, P, Elliott, P, Chambers, JC, Takeuchi, F, Johnson, AD, Sanghera, DK, Melander, O, Jern, C, Strbian, D, Fernandez-Cadenas, I, Longstreth, WT, Rolfs, A, Hata, J, Woo, D, Rosand, J, Pare, G, Hopewell, JC, Saleheen, D, Stefansson, K, Worrall, BB, Kittner, SJ, Seshadri, S, Fornage, M, Markus, HS, Howson, JMM, Kamatani, Y, Debette, S, and Dichgans, M
Subjects: Genetics & Heredity, International Genomics of Blood Pressure (iGEN-BP) Consortium, COMPASS Consortium, MEGASTROKE Consortium, Science & Technology, UK Young Lacunar DNA Study, AFGen Consortium, INVENT Consortium, STARNET, 06 Biological Sciences, METASTROKE Consortium, EPIC-CVD Consortium, BioBank Japan Cooperative Hospital Group, International Stroke Genetics Consortium (ISGC), NINDS Stroke Genetics Network (SiGN), Neurology Working Group of the CHARGE Consortium, EPIC-InterAct Consortium, Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, Life Sciences & Biomedicine, 11 Medical and Health Sciences, Developmental Biology
Published: 2019

44. Consumption of individual saturated fatty acids and the risk of myocardial infarction in a UK and a Danish cohort

Author: Praagman, J, Vissers, LET, Mulligan, AA, Dam Laursen, AS, Beulens, JWJ, Van Der Schouw, YT, Wareham, NJ, Plambeck Hansen, C, Khaw, KT, Uhre Jakobsen, M, Sluijs, I, Mulligan, Angela [0000-0001-5546-971X], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository
Subjects: Adult, Male, Denmark, Fatty Acids, Myocardial Infarction, Middle Aged, Dietary Fats, Plant Proteins, Dietary, United Kingdom, Diet, Risk Factors, Humans, Female, Saturated fatty acids, Diet, Healthy, Cohort study, Aged, Follow-Up Studies
Abstract: Background: The effect of individual saturated fatty acids (SFAs) on serum cholesterol levels depends on their carbon-chain length. Whether the association with myocardial infarction (MI) also differs across individual SFAs is unclear. We examined the association between consumption of individual SFAs, differing in chain lengths ranging from 4 through 18 carbons, and risk of MI. Methods: We used data from 22050 and 53375 participants from EPIC-Norfolk (UK) and EPIC-Denmark, respectively. Baseline SFA intakes were assessed through validated, country-specific food frequency questionnaires. Cox regression analysis was used to estimate associations between intakes of individual SFAs and MI risk, for each cohort separately. Results: During median follow-up times of 18.8 years in EPIC-Norfolk and 13.6 years in Denmark, respectively, 1204 and 2260 MI events occurred. Mean (±SD) total SFA intake was 13.3 (±3.5) en% in EPIC-Norfolk, and 12.5 (±2.6) en% in EPIC-Denmark. After multivariable adjustment, intakes of C12:0 (lauric acid) and C14:0 (myristic acid) inversely associated with MI risk in EPIC-Denmark (HR upper versus lowest quintile: 0.80 (95%CI:0.66,0.96) for both SFAs). Intakes in the third and fourth quintiles of C4:0-C10:0 also associated with lower MI risk in EPIC-Denmark. Moreover, substitution of C16:0 (palmitic acid) and C18:0 (stearic acid) with plant proteins resulted in a reduction of MI risk in EPIC-Denmark (HR per 1 energy%: 0.86 (95%CI:0.78,0.95) and 0.87 (95%CI:0.79,0.96) respectively). No such associations were found in EPIC-Norfolk. Conclusion: The results from the present study suggest that the association between SFA and MI risk depends on the carbon chain-length of the SFA.
Published: 2019

45. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions

Author: Kaptoge, S, Pennells, L, De Bacquer, D, Cooney, MT, Kavousi, M, Stevens, G, Riley, LM, Savin, S, Khan, T, Altay, S, Amouyel, P, Assmann, G, Bell, S, Ben-Shlomo, Y, Berkman, L, Beulens, JW, Björkelund, C, Blaha, M, Blazer, DG, Bolton, T, Bonita Beaglehole, R, Brenner, H, Brunner, EJ, Casiglia, E, Chamnan, P, Choi, YH, Chowdry, R, Coady, S, Crespo, CJ, Cushman, M, Dagenais, GR, D'Agostino, RB, Daimon, M, Davidson, KW, Engström, G, Ford, I, Gallacher, J, Gansevoort, RT, Gaziano, TA, Giampaoli, S, Grandits, G, Grimsgaard, S, Grobbee, DE, Gudnason, V, Guo, Q, Tolonen, H, Humphries, S, Iso, H, Jukema, JW, Kauhanen, J, Kengne, AP, Khalili, D, Koenig, W, Kromhout, D, Krumholz, H, Lam, TH, Laughlin, G, Marín Ibañez, A, Meade, TW, Moons, KGM, Nietert, PJ, Ninomiya, T, Nordestgaard, BG, O'Donnell, C, Palmieri, L, Patel, A, Perel, P, Price, JF, Providencia, R, Ridker, PM, Rodriguez, B, Rosengren, A, Roussel, R, Sakurai, M, Salomaa, V, Sato, S, Schöttker, B, Shara, N, Shaw, JE, Shin, HC, Simons, LA, Sofianopoulou, E, Sundström, J, Völzke, H, Wallace, RB, Wareham, NJ, Willeit, P, Wood, D, Wood, A, Zhao, D, Woodward, M, Danaei, G, Roth, G, Mendis, S, Onuma, O, Varghese, C, Ezzati, M, Graham, I, Jackson, R, Danesh, J, Kaptoge, S, Pennells, L, De Bacquer, D, Cooney, MT, Kavousi, M, Stevens, G, Riley, LM, Savin, S, Khan, T, Altay, S, Amouyel, P, Assmann, G, Bell, S, Ben-Shlomo, Y, Berkman, L, Beulens, JW, Björkelund, C, Blaha, M, Blazer, DG, Bolton, T, Bonita Beaglehole, R, Brenner, H, Brunner, EJ, Casiglia, E, Chamnan, P, Choi, YH, Chowdry, R, Coady, S, Crespo, CJ, Cushman, M, Dagenais, GR, D'Agostino, RB, Daimon, M, Davidson, KW, Engström, G, Ford, I, Gallacher, J, Gansevoort, RT, Gaziano, TA, Giampaoli, S, Grandits, G, Grimsgaard, S, Grobbee, DE, Gudnason, V, Guo, Q, Tolonen, H, Humphries, S, Iso, H, Jukema, JW, Kauhanen, J, Kengne, AP, Khalili, D, Koenig, W, Kromhout, D, Krumholz, H, Lam, TH, Laughlin, G, Marín Ibañez, A, Meade, TW, Moons, KGM, Nietert, PJ, Ninomiya, T, Nordestgaard, BG, O'Donnell, C, Palmieri, L, Patel, A, Perel, P, Price, JF, Providencia, R, Ridker, PM, Rodriguez, B, Rosengren, A, Roussel, R, Sakurai, M, Salomaa, V, Sato, S, Schöttker, B, Shara, N, Shaw, JE, Shin, HC, Simons, LA, Sofianopoulou, E, Sundström, J, Völzke, H, Wallace, RB, Wareham, NJ, Willeit, P, Wood, D, Wood, A, Zhao, D, Woodward, M, Danaei, G, Roth, G, Mendis, S, Onuma, O, Varghese, C, Ezzati, M, Graham, I, Jackson, R, and Danesh, J
Abstract: Background: To help adapt cardiovascular disease risk prediction approaches to low-income and middle-income countries, WHO has convened an effort to develop, evaluate, and illustrate revised risk models. Here, we report the derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions. Methods: In this model revision initiative, we derived 10-year risk prediction models for fatal and non-fatal cardiovascular disease (ie, myocardial infarction and stroke) using individual participant data from the Emerging Risk Factors Collaboration. Models included information on age, smoking status, systolic blood pressure, history of diabetes, and total cholesterol. For derivation, we included participants aged 40–80 years without a known baseline history of cardiovascular disease, who were followed up until the first myocardial infarction, fatal coronary heart disease, or stroke event. We recalibrated models using age-specific and sex-specific incidences and risk factor values available from 21 global regions. For external validation, we analysed individual participant data from studies distinct from those used in model derivation. We illustrated models by analysing data on a further 123 743 individuals from surveys in 79 countries collected with the WHO STEPwise Approach to Surveillance. Findings: Our risk model derivation involved 376 177 individuals from 85 cohorts, and 19 333 incident cardiovascular events recorded during 10 years of follow-up. The derived risk prediction models discriminated well in external validation cohorts (19 cohorts, 1 096 061 individuals, 25 950 cardiovascular disease events), with Harrell's C indices ranging from 0·685 (95% CI 0·629–0·741) to 0·833 (0·783–0·882). For a given risk factor profile, we found substantial variation across global regions in the estimated 10-year predicted risk. For example, estimated cardiovascular disease risk for a
Published: 2019

46. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

Author: Kilpelainen, TO, Bentley, AR, Noordam, R, Sung, YJ, Schwander, K, Winkler, TW, Jakupovic, H, Chasman, DI, Manning, A, Ntalla, I, Aschard, H, Brown, MR, de Las Fuentes, L, Franceschini, N, Guo, XQ, Vojinovic, Dina, Aslibekyan, S, Feitosa, MF, Kho, M, Musani, SK, Richard, M, Wang, HM, Wang, Z, Bartz, TM, Bielak, LF, Campbell, A (Archie), Dorajoo, R, Fisher, V, Hartwig, FP, Horimoto, A, Li, CW, Lohman, KK, Marten, J, Sim, XL, Smith, AV, Tajuddin, S M, Alver, M, Amini, M, Boissel, M, Chai, JF, Chen, X, Divers, J, Evangelou, E, Gao, C, Graff, M, Harris, SE, He, MA, Hsu, FC, Jackson, AU, Zhao, JH, Kraja, AT, Kuhnel, B, Laguzzi, F, Lyytikainen, LP, Nolte, IM, Rauramaa, R, Riaz, M, Robino, A, Rueedi, R, Stringham, HM, Takeuchi, F, van der Most, PJ, Varga, TV, Verweij, N, Ware, EB, Wen, WQ, Li, X Y, Yanek, LR, Amin, Najaf, Arnett, DK, Boerwinkle, E, Brumat, M, Cade, B, Canouil, M, Chen, YDI, Concas, MP, Connell, J, de Mutsert, R, de Silva, HJ, de Vries, PS, Demirkan, Ayse, Ding, JZ (Jing Zhong), Eaton, CB, Faul, JD, Friedlander, Y, Gabriel, KP, Ghanbari, Mohsen, Giulianini, F, Gu, CC, Gu, DF, Harris, TB, He, J, Heikkinen, S, Heng, CK, Hunt, SC, Ikram, Arfan, Jonas, JB, Koh, WP, Komulainen, P, Krieger, JE, Kritchevsky, SB, Kutalik, Z, Kuusisto, J, Langefeld, CD, Langenberg, C, Launer, LJ, Leander, K, Lemaitre, RN, Lewis, CE, Liang, JJ, Alizadeh, BZ, Boezen, HM, Franke, L, Navis, G, Rots, M, Swertz, M, Wolffenbuttel, BHR, Wijmenga, C, Liu, JJ, Maagi, R, Manichaikul, A, Meitinger, T, Metspalu, A, Milaneschi, Y, Mohlke, KL, Mosley, TH, Murray, AD, Nalls, MA, Nang, EEK, Nelson, CP, Nona, S, Norris, JM, Nwuba, CV, O'Connell, J, Palmer, ND, Papanicolau, GJ, Pazoki, R, Pedersen, NL, Peters, A, Peyser, PA, Polasek, O, Porteous, DJ, Poveda, A, Raitakari, OT, Rich, SS, Risch, N, Robinson, JG, Rose, LM, Rudan, I, Schreiner, PJ, Scott, RA, Sidney, SS, Sims, M, Smith, JA, Snieder, H, Sofer, T, Starr, JM, Sternfeld, B, Strauch, K, Tang, H, Taylor, KD, Tsai, MY, Tuomilehto, J, Uitterlinden, André, van der Ende, MY, van Heemst, D, Voortman, Trudy, Waldenberger, M, Wennberg, P, Wilson, G, Xiang, YB, Yao, J, Yu, CZ, Yuan, JM, Zhao, W, Zonderman, AB, Becker, DM, Boehnke, M, Bowden, DW, de Faire, U, Deary, IJ, Elliott, P, Esko, T, Freedman, BI, Froguel, P, Gasparini, P, Gieger, C, Kato, N, Laakso, M, Lakka, TA, Lehtimaki, T, Magnusson, PKE, Oldehinkel, AJ, Penninx, B, Samani, NJ, Shu, XO, van der Harst, P, van Vliet-Ostaptchouk, JV, Vollenweider, P, Wagenknecht, LE, Wang, YX, Wareham, NJ, Weir, DR, Wu, TC, Zheng, W, Zhu, XF, Evans, MK, Franks, PW, Gudnason, V, Hayward, C, Horta, BL, Kelly, TN, Liu, YM, North, KE, Pereira, AC, Ridker, PM, Tai, ES, van Dam, RM, Fox, ER, Kardia, SLR, Liu, CT, Mook, Dennis, Province, MA, Redline, S, Duijn, Cornelia, Rotter, JI, Kooperberg, CB, Gauderman, WJ, Psaty, BM, Rice, K, Munroe, PB, Fornage, M, Cupples, LA, Rotimi, CN, Morrison, AC, Rao, DC, Loos, RJF, Kilpelainen, TO, Bentley, AR, Noordam, R, Sung, YJ, Schwander, K, Winkler, TW, Jakupovic, H, Chasman, DI, Manning, A, Ntalla, I, Aschard, H, Brown, MR, de Las Fuentes, L, Franceschini, N, Guo, XQ, Vojinovic, Dina, Aslibekyan, S, Feitosa, MF, Kho, M, Musani, SK, Richard, M, Wang, HM, Wang, Z, Bartz, TM, Bielak, LF, Campbell, A (Archie), Dorajoo, R, Fisher, V, Hartwig, FP, Horimoto, A, Li, CW, Lohman, KK, Marten, J, Sim, XL, Smith, AV, Tajuddin, S M, Alver, M, Amini, M, Boissel, M, Chai, JF, Chen, X, Divers, J, Evangelou, E, Gao, C, Graff, M, Harris, SE, He, MA, Hsu, FC, Jackson, AU, Zhao, JH, Kraja, AT, Kuhnel, B, Laguzzi, F, Lyytikainen, LP, Nolte, IM, Rauramaa, R, Riaz, M, Robino, A, Rueedi, R, Stringham, HM, Takeuchi, F, van der Most, PJ, Varga, TV, Verweij, N, Ware, EB, Wen, WQ, Li, X Y, Yanek, LR, Amin, Najaf, Arnett, DK, Boerwinkle, E, Brumat, M, Cade, B, Canouil, M, Chen, YDI, Concas, MP, Connell, J, de Mutsert, R, de Silva, HJ, de Vries, PS, Demirkan, Ayse, Ding, JZ (Jing Zhong), Eaton, CB, Faul, JD, Friedlander, Y, Gabriel, KP, Ghanbari, Mohsen, Giulianini, F, Gu, CC, Gu, DF, Harris, TB, He, J, Heikkinen, S, Heng, CK, Hunt, SC, Ikram, Arfan, Jonas, JB, Koh, WP, Komulainen, P, Krieger, JE, Kritchevsky, SB, Kutalik, Z, Kuusisto, J, Langefeld, CD, Langenberg, C, Launer, LJ, Leander, K, Lemaitre, RN, Lewis, CE, Liang, JJ, Alizadeh, BZ, Boezen, HM, Franke, L, Navis, G, Rots, M, Swertz, M, Wolffenbuttel, BHR, Wijmenga, C, Liu, JJ, Maagi, R, Manichaikul, A, Meitinger, T, Metspalu, A, Milaneschi, Y, Mohlke, KL, Mosley, TH, Murray, AD, Nalls, MA, Nang, EEK, Nelson, CP, Nona, S, Norris, JM, Nwuba, CV, O'Connell, J, Palmer, ND, Papanicolau, GJ, Pazoki, R, Pedersen, NL, Peters, A, Peyser, PA, Polasek, O, Porteous, DJ, Poveda, A, Raitakari, OT, Rich, SS, Risch, N, Robinson, JG, Rose, LM, Rudan, I, Schreiner, PJ, Scott, RA, Sidney, SS, Sims, M, Smith, JA, Snieder, H, Sofer, T, Starr, JM, Sternfeld, B, Strauch, K, Tang, H, Taylor, KD, Tsai, MY, Tuomilehto, J, Uitterlinden, André, van der Ende, MY, van Heemst, D, Voortman, Trudy, Waldenberger, M, Wennberg, P, Wilson, G, Xiang, YB, Yao, J, Yu, CZ, Yuan, JM, Zhao, W, Zonderman, AB, Becker, DM, Boehnke, M, Bowden, DW, de Faire, U, Deary, IJ, Elliott, P, Esko, T, Freedman, BI, Froguel, P, Gasparini, P, Gieger, C, Kato, N, Laakso, M, Lakka, TA, Lehtimaki, T, Magnusson, PKE, Oldehinkel, AJ, Penninx, B, Samani, NJ, Shu, XO, van der Harst, P, van Vliet-Ostaptchouk, JV, Vollenweider, P, Wagenknecht, LE, Wang, YX, Wareham, NJ, Weir, DR, Wu, TC, Zheng, W, Zhu, XF, Evans, MK, Franks, PW, Gudnason, V, Hayward, C, Horta, BL, Kelly, TN, Liu, YM, North, KE, Pereira, AC, Ridker, PM, Tai, ES, van Dam, RM, Fox, ER, Kardia, SLR, Liu, CT, Mook, Dennis, Province, MA, Redline, S, Duijn, Cornelia, Rotter, JI, Kooperberg, CB, Gauderman, WJ, Psaty, BM, Rice, K, Munroe, PB, Fornage, M, Cupples, LA, Rotimi, CN, Morrison, AC, Rao, DC, and Loos, RJF
Published: 2019

47. Correlated measurement error—implications for nutritional epidemiology

Author: Day, NE, Wong, MY, Bingham, S, Khaw, KT, Luben, R, Michels, KB, Welch, A, and Wareham, NJ
Published: 2004

48. The detection of gene–environment interaction for continuous traits: should we deal with measurement error by bigger studies or better measurement?

Author: Wong, MY, Day, NE, Luan, JA, Chan, KP, and Wareham, NJ
Published: 2003

49. Sample size determination for studies of gene-environment interaction

Author: Luan, JA, Wong, MY, Day, NE, and Wareham, NJ
Published: 2001

50. Quality control and conduct of genome-wide association meta-analyses

Author: Winkler, T, Day, F, Croteau Chonka, D, Wood, A, Locke, A, Mägi, R, Ferreira, T, Fall, T, Graff, M, Justice, A, Luan, J, Gustafsson, S, Randall, J, Vedantam, S, Workalemahu, T, Kilpeläinen, T, Scherag, A, Esko, T, Kutalik, Z, Heid, I, Loos, R, Abecasis GR, Absher D, Alavere H, Albrecht E, Allen HL, Almgren P, Amin N, Amouyel P, Anderson D, Arnold AM, Arveiler D, Aspelund T, Asselbergs FW, Assimes TL, Atalay M, Attwood AP, Atwood LD, Bakker SJ, Balkau B, Balmforth AJ, Barlassina C, Barroso I, Basart H, Bauer S, Beckmann JS, Beilby JP, Bennett AJ, Ben Shlomo Y, Bergman RN, Bergmann S, Berndt SI, Biffar R, Di Blasio AM, Boehm BO, Boehnke M, Boeing H, Boerwinkle E, Bolton JL, Bonnefond A, Bonnycastle LL, Boomsma DI, Borecki IB, Bornstein SR, Bouatia Naji N, Boucher G, Bragg Gresham JL, BRAMBILLA, PAOLO, Bruinenberg M, Buchanan TA, Buechler C, Cadby G, Campbell H, Caulfield MJ, Cavalcanti Proença C, CESANA, GIANCARLO, Chanock SJ, Chasman DI, Chen YD, Chines PS, Clegg DJ, Coin L, Collins FS, Connell JM, Cookson W, Cooper MN, Croteau Chonka DC, Cupples LA, Cusi D, Day FR, Day IN, Dedoussis GV, Dei M, Deloukas P, Dermitzakis ET, Dimas AS, Dimitriou M, Dixon AL, Dörr M, van Duijn CM, Ebrahim S, Edkins S, Eiriksdottir G, Eisinger K, Eklund N, Elliott P, Erbel R, Erdmann J, Erdos MR, Eriksson JG, Esko T, Estrada K, Evans DM, de Faire U, Fall T, Farrall M, Feitosa MF, Ferrario MM, Ferreira T, Ferrières J, Fischer K, Fisher E, Fowkes G, Fox CS, Franke L, Franks PW, Fraser RM, Frau F, Frayling T, Freimer NB, Froguel P, Fu M, Gaget S, Ganna A, Gejman PV, Gentilini D, Geus EJ, Gieger C, Gigante B, Gjesing AP, Glazer NL, Goddard ME, Goel A, Grallert H, Gräßler J, Grönberg H, Groop LC, Groves CJ, Gudnason V, Guiducci C, Gustafsson S, Gyllensten U, Hall AS, Hall P, Hallmans G, Hamsten A, Hansen T, Haritunians T, Harris TB, van der Harst P, Hartikainen AL, Hassanali N, Hattersley AT, Havulinna AS, Hayward C, Heard Costa NL, Heath AC, Hebebrand J, Heid IM, den Heijer M, Hengstenberg C, Herzig KH, Hicks AA, Hingorani A, Hinney A, Hirschhorn JN, Hofman A, Holmes CC, Homuth G, Hottenga JJ, Hovingh KG, Hu FB, Hu YJ, Huffman JE, Hui J, Huikuri H, Humphries SE, Hung J, Hunt SE, Hunter D, Hveem K, Hyppönen E, Igl W, Illig T, Ingelsson E, Iribarren C, Isomaa B, Jackson AU, Jacobs KB, James AL, Jansson JO, Jarick I, Jarvelin MR, Jöckel KH, Johansson Å, Johnson T, Jolley J, Jørgensen T, Jousilahti P, Jula A, Justice AE, Kaakinen M, Kähönen M, Kajantie E, Kanoni S, Kao WH, Kaplan LM, Kaplan RC, Kaprio J, Kapur K, Karpe F, Kathiresan S, Kee F, Keinanen Kiukaanniemi SM, Ketkar S, Kettunen J, Khaw KT, Kiemeney LA, Kilpeläinen TO, Kinnunen L, Kivimaki M, Kivmaki M, Van der Klauw MM, Kleber ME, Knowles JW, Koenig W, Kolcic I, Kolovou G, König IR, Koskinen S, Kovacs P, Kraft P, Kraja AT, Kristiansson K, KrjutÅjkov K, Kroemer HK, Krohn JP, Krzelj V, Kuh D, Kulzer JR, Kumari M, Kutalik Z, Kuulasmaa K, Kuusisto J, Kvaloy K, Laakso M, Laitinen JH, Lakka TA, Lamina C, Langenberg C, Lantieri O, Lathrop GM, Launer LJ, Lawlor DA, Lawrence RW, Leach IM, Lecoeur C, Lee SH, Lehtimäki T, Leitzmann MF, Lettre G, Levinson DF, Li G, Li S, Liang L, Lin DY, Lind L, Lindgren CM, Lindström J, Liu J, Liuzzi A, Locke AE, Lokki ML, Loley C, Loos RJ, Lorentzon M, Luan J, Luben RN, Ludwig B, Madden PA, Mägi R, Magnusson PK, Mangino M, Manunta P, Marek D, Marre M, Martin NG, März W, Maschio A, Mathieson I, McArdle WL, McCaroll SA, McCarthy A, McCarthy MI, McKnight B, Medina Gomez C, Medland SE, Meitinger T, Metspalu A, van Meurs JB, Meyre D, Midthjell K, Mihailov E, Milani L, Min JL, Moebus S, Moffatt MF, Mohlke KL, Molony C, Monda KL, Montgomery GW, Mooser V, Morken MA, Morris AD, Morris AP, Mühleisen TW, Müller Nurasyid M, Munroe PB, Musk AW, Narisu N, Navis G, Neale BM, Nelis M, Nemesh J, Neville MJ, Ngwa JS, Nicholson G, Nieminen MS, Njølstad I, Nohr EA, Nolte IM, North KE, Nöthen MM, Nyholt DR, O'Connell JR, Ohlsson C, Oldehinkel AJ, van Ommen GJ, Ong KK, Oostra 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Wichmann, HE., Widen, E., Wild, SH., Willemsen, G., Willer, CJ., Wilsgaard, T., Wilson, JF., van Wingerden, S., Winkelmann, BR., Winkler, TW., Witte, DR., Witteman, JC., Wolffenbuttel, BH., Wong, A., Wood, AR., Workalemahu, T., Wright, AF., Yang, J., Yarnell, JW., Zgaga, L., Zhao, JH., Zillikens, MC., Zitting, P., and Zondervan, KT.
Subjects: Quality Control, Netherlands Twin Register (NTR), BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, media_common.quotation_subject, quality control, GWAMAS, Control (management), Medizin, Genome-wide association study, Biology, Bioinformatics, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, 0302 clinical medicine, Software, SDG 17 - Partnerships for the Goals, Meta-Analysis as Topic, Comparable size, Quality (business), 030304 developmental biology, media_common, Protocol (science), 0303 health sciences, business.industry, Software package, Data science, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], Genome-Wide Association Study/methods, Inflammatory diseases Radboud Institute for Health Sciences [Radboudumc 5], quality control, genome-wide association meta-analyses, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Item does not contain fulltext Rigorous organization and quality control (QC) are necessary to facilitate successful genome-wide association meta-analyses (GWAMAs) of statistics aggregated across multiple genome-wide association studies. This protocol provides guidelines for (i) organizational aspects of GWAMAs, and for (ii) QC at the study file level, the meta-level across studies and the meta-analysis output level. Real-world examples highlight issues experienced and solutions developed by the GIANT Consortium that has conducted meta-analyses including data from 125 studies comprising more than 330,000 individuals. We provide a general protocol for conducting GWAMAs and carrying out QC to minimize errors and to guarantee maximum use of the data. We also include details for the use of a powerful and flexible software package called EasyQC. Precise timings will be greatly influenced by consortium size. For consortia of comparable size to the GIANT Consortium, this protocol takes a minimum of about 10 months to complete.
Published: 2014
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