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5. Meat consumption and incident type 2 diabetes: an individual-participant federated meta-analysis of 1·97 million adults with 100 000 incident cases from 31 cohorts in 20 countries

Author

Li, Chunxiao, Bishop, Tom R P, Imamura, Fumiaki, Sharp, Stephen J, Pearce, Matthew, Brage, Soren, Ong, Ken K, Ahsan, Habibul, Bes-Rastrollo, Maira, Beulens, Joline W J, den Braver, Nicole, Byberg, Liisa, Canhada, Scheine, Chen, Zhengming, Chung, Hsin-Fang, Cortés-Valencia, Adrian, Djousse, Luc, Drouin-Chartier, Jean-Philippe, Du, Huaidong, Du, Shufa, Duncan, Bruce B, Gaziano, J Michael, Gordon-Larsen, Penny, Goto, Atsushi, Haghighatdoost, Fahimeh, Härkänen, Tommi, Hashemian, Maryam, Hu, Frank B, Ittermann, Till, Järvinen, Ritva, Kakkoura, Maria G, Neelakantan, Nithya, Knekt, Paul, Lajous, Martin, Li, Yanping, Magliano, Dianna J, Malekzadeh, Reza, Le Marchand, Loic, Marques-Vidal, Pedro, Martinez-Gonzalez, Miguel A, Maskarinec, Gertraud, Mishra, Gita D, Mohammadifard, Noushin, O'Donoghue, Gráinne, O'Gorman, Donal, Popkin, Barry, Poustchi, Hossein, Sarrafzadegan, Nizal, Sawada, Norie, Schmidt, Maria Inês, Shaw, Jonathan E, Soedamah-Muthu, Sabita, Stern, Dalia, Tong, Lin, van Dam, Rob M, Völzke, Henry, Willett, Walter C, Wolk, Alicja, Yu, Canqing, Forouhi, Nita G, and Wareham, Nicholas J

Published
2024
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7. Associations between exploratory dietary patterns and incident type 2 diabetes: a federated meta-analysis of individual participant data from 25 cohort studies

Author

Jannasch, Franziska, Dietrich, Stefan, Bishop, Tom R. P., Pearce, Matthew, Fanidi, Anouar, O’Donoghue, Gráinne, O’Gorman, Donal, Marques-Vidal, Pedro, Vollenweider, Peter, Bes-Rastrollo, Maira, Byberg, Liisa, Wolk, Alicja, Hashemian, Maryam, Malekzadeh, Reza, Poustchi, Hossein, Luft, Vivian C., de Matos, Sheila M. Alvim, Kim, Jihye, Kim, Mi Kyung, Kim, Yeonjung, Stern, Dalia, Lajous, Martin, Magliano, Dianna J., Shaw, Jonathan E., Akbaraly, Tasnime, Kivimaki, Mika, Maskarinec, Gertraud, Le Marchand, Loïc, Martínez-González, Miguel Ángel, Soedamah-Muthu, Sabita S., Wareham, Nicholas J., Forouhi, Nita G., and Schulze, Matthias B.

Published
2022
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8. Disentangling the genetics of lean mass.

Author

Karasik, David, Zillikens, M, Hsu, Yi-Hsiang, Aghdassi, Ali, Akesson, Kristina, Amin, Najaf, Barroso, Inês, Bennett, David, Bertram, Lars, Bochud, Murielle, Borecki, Ingrid, Broer, Linda, Buchman, Aron, Byberg, Liisa, Campbell, Harry, Campos-Obando, Natalia, Cauley, Jane, Cawthon, Peggy, Chambers, John, Chen, Zhao, Cho, Nam, Choi, Hyung, Chou, Wen-Chi, Cummings, Steven, de Groot, Lisette, De Jager, Phillip, Demuth, Ilja, Diatchenko, Luda, Econs, Michael, Eiriksdottir, Gudny, Enneman, Anke, Eriksson, Joel, Eriksson, Johan, Estrada, Karol, Evans, Daniel, Feitosa, Mary, Fu, Mao, Gieger, Christian, Grallert, Harald, Gudnason, Vilmundur, Lenore, Launer, Hayward, Caroline, Hofman, Albert, Homuth, Georg, Huffman, Kim, Husted, Lise, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Johnson, Toby, Biffar, Reiner, Jordan, Joanne, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas, Klopp, Norman, Kloth, Jacqueline, Koller, Daniel, Kooner, Jaspal, Kraus, William, Kritchevsky, Stephen, Kutalik, Zoltán, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Langdahl, Bente, Lerch, Markus, Lewis, Joshua, Lill, Christina, Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Livshits, Gregory, Ljunggren, Östen, Loos, Ruth, Lorentzon, Mattias, Luan, Jianan, Luben, Robert, Malkin, Ida, McGuigan, Fiona, Medina-Gomez, Carolina, Meitinger, Thomas, Melhus, Håkan, Mellström, Dan, Michaëlsson, Karl, Mitchell, Braxton, Morris, Andrew, Mosekilde, Leif, Nethander, Maria, Newman, Anne, OConnell, Jeffery, Oostra, Ben, Orwoll, Eric, Palotie, Aarno, Peacock, Munro, Perola, Markus, and Peters, Annette

Subjects
ADAMTS Proteins, Absorptiometry, Photon, Adipose Tissue, Adolescent, Adult, Aged, Aged, 80 and over, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Body Composition, Body Fluid Compartments, Electric Impedance, Extracellular Matrix Proteins, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Muscle, Skeletal, Phenotype, Polymorphism, Single Nucleotide, RNA-Binding Proteins, Receptor, Melanocortin, Type 4, Versicans, White People, Young Adult
Abstract

BACKGROUND: Lean body mass (LM) plays an important role in mobility and metabolic function. We previously identified five loci associated with LM adjusted for fat mass in kilograms. Such an adjustment may reduce the power to identify genetic signals having an association with both lean mass and fat mass. OBJECTIVES: To determine the impact of different fat mass adjustments on genetic architecture of LM and identify additional LM loci. METHODS: We performed genome-wide association analyses for whole-body LM (20 cohorts of European ancestry with n = 38,292) measured using dual-energy X-ray absorptiometry) or bioelectrical impedance analysis, adjusted for sex, age, age2, and height with or without fat mass adjustments (Model 1 no fat adjustment; Model 2 adjustment for fat mass as a percentage of body mass; Model 3 adjustment for fat mass in kilograms). RESULTS: Seven single-nucleotide polymorphisms (SNPs) in separate loci, including one novel LM locus (TNRC6B), were successfully replicated in an additional 47,227 individuals from 29 cohorts. Based on the strengths of the associations in Model 1 vs Model 3, we divided the LM loci into those with an effect on both lean mass and fat mass in the same direction and refer to those as sumo wrestler loci (FTO and MC4R). In contrast, loci with an impact specifically on LM were termed body builder loci (VCAN and ADAMTSL3). Using existing available genome-wide association study databases, LM increasing alleles of SNPs in sumo wrestler loci were associated with an adverse metabolic profile, whereas LM increasing alleles of SNPs in body builder loci were associated with metabolic protection. CONCLUSIONS: In conclusion, we identified one novel LM locus (TNRC6B). Our results suggest that a genetically determined increase in lean mass might exert either harmful or protective effects on metabolic traits, depending on its relation to fat mass.

Published
2019

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

Author

Zillikens, M Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M, Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L, Kutalik, Zoltán, Luan, Jian'an, Malkin, Ida, Ried, Janina S, Smith, Albert V, Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J, Barroso, Inês, Bennett, David A, Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B, Buchman, Aron S, Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A, Cawthon, Peggy M, Cederberg, Henna, Chen, Zhao, Cho, Nam H, Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R, De Jager, Philip L, Demuth, Ilja, Dhonukshe-Rutten, Rosalie AM, Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W, Erdos, Mike, Eriksson, Johan G, Eriksson, Joel, Estrada, Karol, Evans, Daniel S, Feitosa, Mary F, Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L, Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L, Hayward, Caroline, Hofman, Albert, Hoffman, Eric P, Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J, Hubbard, Alan, Huffman, Kim M, Husted, Lise B, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas O, Klopp, Norman, Kloth, Jacqueline SL, Koistinen, Heikki A, Kraus, William E, Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L, Launer, Lenore J, Lee, Jong-Young, Lerch, Markus M, Lewis, Joshua R, Lind, Lars, Lindgren, Cecilia, and Liu, Yongmei

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics
Abstract

A correction to this article has been published and is linked from the HTML version of this article.

Published
2017

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

Author

Zillikens, M Carola, Demissie, Serkalem, Hsu, Yi-Hsiang, Yerges-Armstrong, Laura M, Chou, Wen-Chi, Stolk, Lisette, Livshits, Gregory, Broer, Linda, Johnson, Toby, Koller, Daniel L, Kutalik, Zoltán, Luan, Jian'an, Malkin, Ida, Ried, Janina S, Smith, Albert V, Thorleifsson, Gudmar, Vandenput, Liesbeth, Hua Zhao, Jing, Zhang, Weihua, Aghdassi, Ali, Åkesson, Kristina, Amin, Najaf, Baier, Leslie J, Barroso, Inês, Bennett, David A, Bertram, Lars, Biffar, Rainer, Bochud, Murielle, Boehnke, Michael, Borecki, Ingrid B, Buchman, Aron S, Byberg, Liisa, Campbell, Harry, Campos Obanda, Natalia, Cauley, Jane A, Cawthon, Peggy M, Cederberg, Henna, Chen, Zhao, Cho, Nam H, Jin Choi, Hyung, Claussnitzer, Melina, Collins, Francis, Cummings, Steven R, De Jager, Philip L, Demuth, Ilja, Dhonukshe-Rutten, Rosalie AM, Diatchenko, Luda, Eiriksdottir, Gudny, Enneman, Anke W, Erdos, Mike, Eriksson, Johan G, Eriksson, Joel, Estrada, Karol, Evans, Daniel S, Feitosa, Mary F, Fu, Mao, Garcia, Melissa, Gieger, Christian, Girke, Thomas, Glazer, Nicole L, Grallert, Harald, Grewal, Jagvir, Han, Bok-Ghee, Hanson, Robert L, Hayward, Caroline, Hofman, Albert, Hoffman, Eric P, Homuth, Georg, Hsueh, Wen-Chi, Hubal, Monica J, Hubbard, Alan, Huffman, Kim M, Husted, Lise B, Illig, Thomas, Ingelsson, Erik, Ittermann, Till, Jansson, John-Olov, Jordan, Joanne M, Jula, Antti, Karlsson, Magnus, Khaw, Kay-Tee, Kilpeläinen, Tuomas O, Klopp, Norman, Kloth, Jacqueline SL, Koistinen, Heikki A, Kraus, William E, Kritchevsky, Stephen, Kuulasmaa, Teemu, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lang, Thomas, Langdahl, Bente L, Launer, Lenore J, Lee, Jong-Young, Lerch, Markus M, Lewis, Joshua R, Lind, Lars, Lindgren, Cecilia, and Liu, Yongmei

Subjects
Humans, Thinness, 17-Hydroxysteroid Dehydrogenases, Aldehyde Oxidoreductases, Extracellular Matrix Proteins, Body Composition, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Regulatory Elements, Transcriptional, Versicans, Genome-Wide Association Study, Insulin Receptor Substrate Proteins, ADAMTS Proteins, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Human Genome, Genetics, 1.1 Normal biological development and functioning
Abstract

Lean body mass, consisting mostly of skeletal muscle, is important for healthy aging. We performed a genome-wide association study for whole body (20 cohorts of European ancestry with n = 38,292) and appendicular (arms and legs) lean body mass (n = 28,330) measured using dual energy X-ray absorptiometry or bioelectrical impedance analysis, adjusted for sex, age, height, and fat mass. Twenty-one single-nucleotide polymorphisms were significantly associated with lean body mass either genome wide (p

Published
2017

20. Adaptation of the Charlson Comorbidity Index for Register-Based Research in Sweden [Corrigendum]

Author

Ludvigsson, Jonas F, primary, Appelros, Peter, additional, Askling, Johan, additional, Byberg, Liisa, additional, Carrero, Juan-Jesus, additional, Ekström, Anna Mia, additional, Ekström, Magnus, additional, Smedby, Karin Ekström, additional, Hagström, Hannes, additional, James, Stefan, additional, Järvholm, Bengt, additional, Michaelsson, Karl, additional, Pedersen, Nancy L, additional, Sundelin, Helene, additional, Sundquist, Kristina, additional, and Sundström, Johan, additional

Published
2023
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28. Association of vitamin D status with arterial blood pressure and hypertension risk: a mendelian randomisation study

Author

Vimaleswaran, Karani S, Cavadino, Alana, Berry, Diane J, Jorde, Rolf, Dieffenbach, Aida Karina, Lu, Chen, Alves, Alexessander Couto, Heerspink, Hiddo J Lambers, Tikkanen, Emmi, Eriksson, Joel, Wong, Andrew, Mangino, Massimo, Jablonski, Kathleen A, Nolte, Ilja M, Houston, Denise K, Ahluwalia, Tarunveer Singh, van der Most, Peter J, Pasko, Dorota, Zgaga, Lina, Thiering, Elisabeth, Vitart, Veronique, Fraser, Ross M, Huffman, Jennifer E, de Boer, Rudolf A, Schöttker, Ben, Saum, Kai-Uwe, McCarthy, Mark I, Dupuis, Josée, Herzig, Karl-Heinz, Sebert, Sylvain, Pouta, Anneli, Laitinen, Jaana, Kleber, Marcus E, Navis, Gerjan, Lorentzon, Mattias, Jameson, Karen, Arden, Nigel, Cooper, Jackie A, Acharya, Jayshree, Hardy, Rebecca, Raitakari, Olli, Ripatti, Samuli, Billings, Liana K, Lahti, Jari, Osmond, Clive, Penninx, Brenda W, Rejnmark, Lars, Lohman, Kurt K, Paternoster, Lavinia, Stolk, Ronald P, Hernandez, Dena G, Byberg, Liisa, Hagström, Emil, Melhus, Håkan, Ingelsson, Erik, Mellström, Dan, Ljunggren, Östen, Tzoulaki, Ioanna, McLachlan, Stela, Theodoratou, Evropi, Tiesler, Carla M T, Jula, Antti, Navarro, Pau, Wright, Alan F, Polasek, Ozren, Wilson, James F, Rudan, Igor, Salomaa, Veikko, Heinrich, Joachim, Campbell, Harry, Price, Jacqueline F, Karlsson, Magnus, Lind, Lars, Michaëlsson, Karl, Bandinelli, Stefania, Frayling, Timothy M, Hartman, Catharina A, Sørensen, Thorkild I A, Kritchevsky, Stephen B, Langdahl, Bente Lomholt, Eriksson, Johan G, Florez, Jose C, Spector, Tim D, Lehtimäki, Terho, Kuh, Diana, Humphries, Steve E, Cooper, Cyrus, Ohlsson, Claes, März, Winfried, de Borst, Martin H, Kumari, Meena, Kivimaki, Mika, Wang, Thomas J, Power, Chris, Brenner, Hermann, Grimnes, Guri, van der Harst, Pim, Snieder, Harold, Hingorani, Aroon D, Pilz, Stefan, Whittaker, John C, Järvelin, Marjo-Riitta, and Hyppönen, Elina

Published
2014
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35. Milk and Fermented Milk Consumption and Risk of Stroke : Longitudinal Study

Author

Olsson, Erika, Larsson, Susanna C., Höijer, Jonas, Kilander, Lena, and Byberg, Liisa

Subjects
Näringslära, milk, Nutrition and Dietetics, risk factors, cardiovascular diseases, cohort, stroke
Abstract

The role of milk and fermented milk consumption in stroke risk is unclear. We investigated associations of time-updated information on milk and fermented milk consumption (1997 and 2009) with total stroke, cerebral infarction, and hemorrhagic stroke risk among 79,618 Swedish women and men (mean age 61.3 years). During a mean follow-up of 17.7 years, we identified 9735 incident cases of total stroke, of which 7573 were cerebral infarctions, 1470 hemorrhagic strokes, and 692 unspecified strokes. Compared with an intake of 100 g/day of milk, the multivariable-adjusted hazard ratios (95% confidence interval) of cerebral infarction were 1.05 (1.02-1.08) for 0 g/day, 0.97 (0.95-0.99) for 200 g/day, 0.96 (0.92-1.00) for 400 g/day, 0.98 (0.94-1.03) for 600 g/day, and 1.01 (0.94-1.07) for 800 g/day. Corresponding estimates for hemorrhagic stroke were 0.98 (0.91-1.05) for 0 g/day, 1.02 (0.97-1.07) for 200 g/day, 1.07 (0.98-1.17) for 400 g/day, 1.13 (1.02-1.25) for 600 g/day, and 1.19 (1.03-1.36) for 800 g/day. No associations were observed between milk consumption and total stroke or for fermented milk consumption and any of the stroke outcomes. Higher long-term milk consumption based on repeated measures of intake was weakly and non-linearly associated with cerebral infarction, and was directly associated with hemorrhagic stroke.

Published
2022

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