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1,190 results on '"Männistö, Satu"'

1. Associations of plant-based foods, red and processed meat, and dairy with gut microbiome in Finnish adults.

Author

Maukonen, Mirkka, Koponen, Kari, Havulinna, Aki, Kaartinen, Niina, Niiranen, Teemu, Méric, Guillaume, Pajari, Anne-Maria, Knight, Rob, Salomaa, Veikko, and Männistö, Satu

Subjects
Dairy, Diet, Gut microbiome, Meat, Plant-based foods, Sustainability, Finland, Humans, Adult, Female, Gastrointestinal Microbiome, Middle Aged, Male, Dairy Products, Diet, Vegetables, Red Meat, Fruit, Animals, Meat Products
Abstract

PURPOSE: Population-based studies on the associations of plant-based foods, red meat or dairy with gut microbiome are scarce. We examined whether the consumption of plant-based foods (vegetables, potatoes, fruits, cereals), red and processed meat (RPM) or dairy (fermented milk, cheese, other dairy products) are related to gut microbiome in Finnish adults. METHODS: We utilized data from the National FINRISK/FINDIET 2002 Study (n = 1273, aged 25-64 years, 55% women). Diet was assessed with 48-hour dietary recalls. Gut microbiome was analyzed using shallow shotgun sequencing. We applied multivariate analyses with linear models and permutational ANOVAs adjusted for relevant confounders. RESULTS: Fruit consumption was positively (beta = 0.03, SE = 0.01, P = 0.04), while a dairy subgroup including milk, cream and ice-creams was inversely associated (beta=-0.03, SE 0.01, P = 0.02) with intra-individual gut microbiome diversity (alpha-diversity). Plant-based foods (R2 = 0.001, P = 0.03) and dairy (R2 = 0.002, P = 0.01) but not RPM (R2 = 0.001, P = 0.38) contributed to the compositional differences in gut microbiome (beta-diversity). Plant-based foods were associated with several butyrate producers/cellulolytic species including Roseburia hominis. RPM associations included an inverse association with R. hominis. Dairy was positively associated with several lactic producing/probiotic species including Lactobacillus delbrueckii and potentially opportunistic pathogens including Citrobacter freundii. Dairy, fermented milk, vegetables, and cereals were associated with specific microbial functions. CONCLUSION: Our results suggest a potential association between plant-based foods and dairy or their subgroups with microbial diversity measures. Furthermore, our findings indicated that all the food groups were associated with distinct overall microbial community compositions. Plant-based food consumption particularly was associated with a larger number of putative beneficial species.

Published
2024

3. Genome-wide interaction analysis of folate for colorectal cancer risk.

Author

Bouras, Emmanouil, Kim, Andre, Lin, Yi, Morrison, John, Du, Mengmeng, Albanes, Demetrius, Barry, Elizabeth, Baurley, James, Berndt, Sonja, Bien, Stephanie, Bishop, Timothy, Brenner, Hermann, Budiarto, Arif, Burnett-Hartman, Andrea, Campbell, Peter, Carreras-Torres, Robert, Casey, Graham, Cenggoro, Tjeng, Chan, Andrew, Chang-Claude, Jenny, Conti, David, Cotterchio, Michelle, Devall, Matthew, Diez-Obrero, Virginia, Dimou, Niki, Drew, David, Figueiredo, Jane, Giles, Graham, Gruber, Stephen, Gunter, Marc, Harrison, Tabitha, Hidaka, Akihisa, Hoffmeister, Michael, Huyghe, Jeroen, Joshi, Amit, Kawaguchi, Eric, Keku, Temitope, Kundaje, Anshul, Le Marchand, Loic, Lewinger, Juan, Li, Li, Lynch, Brigid, Mahesworo, Bharuno, Männistö, Satu, Moreno, Victor, Murphy, Neil, Newcomb, Polly, Obón-Santacana, Mireia, Ose, Jennifer, Palmer, Julie, Papadimitriou, Nikos, Pardamean, Bens, Pellatt, Andrew, Peoples, Anita, Platz, Elizabeth, Potter, John, Qi, Lihong, Qu, Conghui, Rennert, Gad, Ruiz-Narvaez, Edward, Sakoda, Lori, Schmit, Stephanie, Shcherbina, Anna, Stern, Mariana, Su, Yu-Ru, Tangen, Catherine, Thomas, Duncan, Tian, Yu, Um, Caroline, van Duijnhoven, Franzel, Van Guelpen, Bethany, Visvanathan, Kala, Wang, Jun, White, Emily, Wolk, Alicja, Woods, Michael, Ulrich, Cornelia, Hsu, Li, Gauderman, W, Peters, Ulrike, and Tsilidis, Konstantinos

Subjects
CRC, European, GWIS, SYN2, TIMP4, colorectal cancer, folate, folic acid, genome-wide, interaction, synapsin, tissue inhibitor of metalloproteinase 4, Humans, Folic Acid, Risk Factors, Colorectal Neoplasms, Case-Control Studies, Dietary Supplements
Abstract

BACKGROUND: Epidemiological and experimental evidence suggests that higher folate intake is associated with decreased colorectal cancer (CRC) risk; however, the mechanisms underlying this relationship are not fully understood. Genetic variation that may have a direct or indirect impact on folate metabolism can provide insights into folates role in CRC. OBJECTIVES: Our aim was to perform a genome-wide interaction analysis to identify genetic variants that may modify the association of folate on CRC risk. METHODS: We applied traditional case-control logistic regression, joint 3-degree of freedom, and a 2-step weighted hypothesis approach to test the interactions of common variants (allele frequency >1%) across the genome and dietary folate, folic acid supplement use, and total folate in relation to risk of CRC in 30,550 cases and 42,336 controls from 51 studies from 3 genetic consortia (CCFR, CORECT, GECCO). RESULTS: Inverse associations of dietary, total folate, and folic acid supplement with CRC were found (odds ratio [OR]: 0.93; 95% confidence interval [CI]: 0.90, 0.96; and 0.91; 95% CI: 0.89, 0.94 per quartile higher intake, and 0.82 (95% CI: 0.78, 0.88) for users compared with nonusers, respectively). Interactions (P-interaction < 5×10-8) of folic acid supplement and variants in the 3p25.2 locus (in the region of Synapsin II [SYN2]/tissue inhibitor of metalloproteinase 4 [TIMP4]) were found using traditional interaction analysis, with variant rs150924902 (located upstream to SYN2) showing the strongest interaction. In stratified analyses by rs150924902 genotypes, folate supplementation was associated with decreased CRC risk among those carrying the TT genotype (OR: 0.82; 95% CI: 0.79, 0.86) but increased CRC risk among those carrying the TA genotype (OR: 1.63; 95% CI: 1.29, 2.05), suggesting a qualitative interaction (P-interaction = 1.4×10-8). No interactions were observed for dietary and total folate. CONCLUSIONS: Variation in 3p25.2 locus may modify the association of folate supplement with CRC risk. Experimental studies and studies incorporating other relevant omics data are warranted to validate this finding.

Published
2023

12. Drinking alcohol in moderation is associated with lower rate of all-cause mortality in individuals with higher rather than lower educational level: findings from the MORGAM project

Author

Di Castelnuovo, Augusto, Bonaccio, Marialaura, Costanzo, Simona, McElduff, Patrick, Linneberg, Allen, Salomaa, Veikko, Männistö, Satu, Ferrières, Jean, Dallongeville, Jean, Thorand, Barbara, Brenner, Hermann, Ferrario, Marco, Veronesi, Giovanni, Tamosiunas, Abdonas, Grimsgaard, Sameline, Drygas, Wojciech, Malyutina, Sofia, Söderberg, Stefan, Nordendahl, Maria, Kee, Frank, Grassi, Guido, Dabboura, Salim, Borchini, Rossana, Westermann, Dirk, Schrage, Benedikt, Zeller, Tanja, Kuulasmaa, Kari, Blankenberg, Stefan, Donati, Maria Benedetta, Iacoviello, Licia, and de Gaetano, Giovanni

Published
2023
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17. Dietary Fiber Intake and Risk of Advanced and Aggressive Forms of Prostate Cancer: A Pooled Analysis of 15 Prospective Cohort Studies

Author

Sidahmed, Elkhansa, Freedland, Stephen J., Wang, Molin, Wu, Kana, Albanes, Demetrius, Barnett, Matt, van den Brandt, Piet A., Cook, Michael B., Giles, Graham G., Giovannucci, Edward, Haiman, Christopher A., Larsson, Susanna C., Key, Timothy J., Loftfield, Erikka, Männistö, Satu, McCullough, Marjorie L., Milne, Roger L., Neuhouser, Marian L., Platz, Elizabeth A., Perez-Cornago, Aurora, Sawada, Norie, Schenk, Jeannette M., Sinha, Rashmi, Tsugane, Shoichiro, Visvanathan, Kala, Wang, Ying, White, Kami K., Willett, Walter C., Wolk, Alicja, Ziegler, Regina G., Genkinger, Jeanine M., and Smith-Warner, Stephanie A.

Published
2024
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18. Associations of healthy food choices with gut microbiota profiles

Author

Koponen, Kari K, Salosensaari, Aaro, Ruuskanen, Matti O, Havulinna, Aki S, Männistö, Satu, Jousilahti, Pekka, Palmu, Joonatan, Salido, Rodolfo, Sanders, Karenina, Brennan, Caitriona, Humphrey, Gregory C, Sanders, Jon G, Meric, Guillaume, Cheng, Susan, Inouye, Michael, Jain, Mohit, Niiranen, Teemu J, Valsta, Liisa M, Knight, Rob, and Salomaa, Veikko V

Subjects
Biomedical and Clinical Sciences, Nutrition and Dietetics, Nutrition, Prevention, 3.3 Nutrition and chemoprevention, Prevention of disease and conditions, and promotion of well-being, Metabolic and endocrine, Adult, Aged, Bacteria, Choice Behavior, Diet Surveys, Diet, Healthy, Female, Food, Gastrointestinal Microbiome, Humans, Male, Middle Aged, cross-sectional study, dietary score, epidemiology, healthy diet, metagenomics, microbiology, microbiota, nutrition, Engineering, Medical and Health Sciences, Nutrition & Dietetics, Clinical sciences, Nutrition and dietetics
Abstract

BackgroundDiet has a major influence on the human gut microbiota, which has been linked to health and disease. However, epidemiological studies on associations of a healthy diet with the microbiota utilizing a whole-diet approach are still scant.ObjectivesTo assess associations between healthy food choices and human gut microbiota composition, and to determine the strength of association with functional potential.MethodsThis population-based study sample consisted of 4930 participants (ages 25-74; 53% women) in the FINRISK 2002 study. Intakes of recommended foods were assessed using a food propensity questionnaire, and responses were transformed into healthy food choices (HFC) scores. Microbial diversity (alpha diversity) and compositional differences (beta diversity) and their associations with the HFC score and its components were assessed using linear regression. Multiple permutational multivariate ANOVAs were run from whole-metagenome shallow shotgun-sequenced samples. Associations between specific taxa and HFC were analyzed using linear regression. Functional associations were derived from Kyoto Encyclopedia of Genes and Genomes orthologies with linear regression models.ResultsBoth microbial alpha diversity (β/SD, 0.044; SE, 6.18 × 10-5; P = 2.21 × 10-3) and beta diversity (R2, 0.12; P ≤ 1.00 × 10-3) were associated with the HFC score. For alpha diversity, the strongest associations were observed for fiber-rich breads, poultry, fruits, and low-fat cheeses (all positive). For beta diversity, the most prominent associations were observed for vegetables, followed by berries and fruits. Genera with fiber-degrading and SCFA-producing capacities were positively associated with the HFC score. The HFC score was associated positively with functions such as SCFA metabolism and synthesis, and inversely with functions such as fatty acid biosynthesis and the sulfur relay system.ConclusionsOur results from a large, population-based survey confirm and extend findings of other, smaller-scale studies that plant- and fiber-rich dietary choices are associated with a more diverse and compositionally distinct microbiota, and with a greater potential to produce SCFAs.

Published
2021

19. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

Author

Fernandez-Rozadilla, Ceres, Timofeeva, Maria, Chen, Zhishan, Law, Philip, Thomas, Minta, Schmit, Stephanie, Díez-Obrero, Virginia, Hsu, Li, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah, Svinti, Victoria, Donnelly, Kevin, Farrington, Susan, Blackmur, James, Vaughan-Shaw, Peter, Shu, Xiao-ou, Long, Jirong, Cai, Qiuyin, Guo, Xingyi, Lu, Yingchang, Broderick, Peter, Studd, James, Huyghe, Jeroen, Harrison, Tabitha, Conti, David, Dampier, Christopher, Devall, Mathew, Schumacher, Fredrick, Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Moratalla-Navarro, Ferran, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John, Jenkins, Mark, Win, Aung Ko, Pai, Rish, Figueiredo, Jane, Haile, Robert, Gallinger, Steven, Woods, Michael, Newcomb, Polly, Duggan, David, Cheadle, Jeremy, Kaplan, Richard, Maughan, Timothy, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Lukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri, Rissanen, Harri, Pukkala, Eero, Eriksson, Johan, Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Zanke, Brent, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie, Ruiz-Narvaez, Edward, Palmer, Julie, Buchanan, Daniel, Platz, Elizabeth, Visvanathan, Kala, Ulrich, Cornelia, Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter, Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha, Potter, John, Tsilidis, Konstantinos, Schulze, Matthias, Gunter, Marc, Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Stern, Mariana, Pardamean, Bens, Bishop, Timothy, Giles, Graham, Southey, Melissa, Idos, Gregory, McDonnell, Kevin, Abu-Ful, Zomoroda, Greenson, Joel, Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope, van Guelpen, Bethany, Hudson, Thomas, Hampel, Heather, Pearlman, Rachel, Berndt, Sonja, Hayes, Richard, Martinez, Marie Elena, Thomas, Sushma, Corley, Douglas, Pharoah, Paul, Larsson, Susanna, Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly, Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew, Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David, Joshi, Amit, Schafmayer, Clemens, Scacheri, Peter, Kundaje, Anshul, Nickerson, Deborah, Schoen, Robert, Hampe, Jochen, Stadler, Zsofia, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Papadopoulos, Nickolas, Edlund, Chistopher, Gauderman, William, Thomas, Duncan, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen, van Duijnhoven, Franzel, Feskens, Edith, Sakoda, Lori, Gago-Dominguez, Manuela, Wolk, Alicja, Naccarati, Alessio, Pardini, Barbara, FitzGerald, Liesel, Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie, Kooperberg, Charles, Li, Christopher, Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Tangen, Catherine, Mardis, Elaine, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Haiman, Christopher, Le Marchand, Loic, Wu, Anna, Qu, Chenxu, McNeil, Caroline, Coetzee, Gerhard, Hayward, Caroline, Deary, Ian, Harris, Sarah, Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Moreno, Victor, Casey, Graham, Gruber, Stephen, Tomlinson, Ian, Zheng, Wei, Dunlop, Malcolm, Houlston, Richard, and Peters, Ulrike

Published
2023
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20. Genetic Studies of Leptin Concentrations Implicate Leptin in the Regulation of Early Adiposity

Author

Yaghootkar, Hanieh, Zhang, Yiying, Spracklen, Cassandra N, Karaderi, Tugce, Huang, Lam Opal, Bradfield, Jonathan, Schurmann, Claudia, Fine, Rebecca S, Preuss, Michael H, Kutalik, Zoltan, Wittemans, Laura BL, Lu, Yingchang, Metz, Sophia, Willems, Sara M, Li-Gao, Ruifang, Grarup, Niels, Wang, Shuai, Molnos, Sophie, Sandoval-Zárate, América A, Nalls, Mike A, Lange, Leslie A, Haesser, Jeffrey, Guo, Xiuqing, Lyytikäinen, Leo-Pekka, Feitosa, Mary F, Sitlani, Colleen M, Venturini, Cristina, Mahajan, Anubha, Kacprowski, Tim, Wang, Carol A, Chasman, Daniel I, Amin, Najaf, Broer, Linda, Robertson, Neil, Young, Kristin L, Allison, Matthew, Auer, Paul L, Blüher, Matthias, Borja, Judith B, Bork-Jensen, Jette, Carrasquilla, Germán D, Christofidou, Paraskevi, Demirkan, Ayse, Doege, Claudia A, Garcia, Melissa E, Graff, Mariaelisa, Guo, Kaiying, Hakonarson, Hakon, Hong, Jaeyoung, Ida Chen, Yii-Der, Jackson, Rebecca, Jakupović, Hermina, Jousilahti, Pekka, Justice, Anne E, Kähönen, Mika, Kizer, Jorge R, Kriebel, Jennifer, LeDuc, Charles A, Li, Jin, Lind, Lars, Luan, Jian'an, Mackey, David A, Mangino, Massimo, Männistö, Satu, Martin Carli, Jayne F, Medina-Gomez, Carolina, Mook-Kanamori, Dennis O, Morris, Andrew P, de Mutsert, Renée, Nauck, Matthias, Prokic, Ivana, Pennell, Craig E, Pradhan, Arund D, Psaty, Bruce M, Raitakari, Olli T, Scott, Robert A, Skaaby, Tea, Strauch, Konstantin, Taylor, Kent D, Teumer, Alexander, Uitterlinden, Andre G, Wu, Ying, Yao, Jie, Walker, Mark, North, Kari E, Kovacs, Peter, Ikram, M Arfan, van Duijn, Cornelia M, Ridker, Paul M, Lye, Stephen, Homuth, Georg, Ingelsson, Erik, Spector, Tim D, McKnight, Barbara, Province, Michael A, Lehtimäki, Terho, Adair, Linda S, Rotter, Jerome I, Reiner, Alexander P, and Wilson, James G

Subjects
Genetics, Nutrition, Prevention, Obesity, Aetiology, 2.1 Biological and endogenous factors, Oral and gastrointestinal, Metabolic and endocrine, Cardiovascular, Stroke, Cancer, Adiposity, Gene Expression Regulation, Developmental, Genetic Variation, Genotype, Humans, Leptin, Models, Molecular, Protein Conformation, Racial Groups, Medical and Health Sciences, Endocrinology & Metabolism
Abstract

Leptin influences food intake by informing the brain about the status of body fat stores. Rare LEP mutations associated with congenital leptin deficiency cause severe early-onset obesity that can be mitigated by administering leptin. However, the role of genetic regulation of leptin in polygenic obesity remains poorly understood. We performed an exome-based analysis in up to 57,232 individuals of diverse ancestries to identify genetic variants that influence adiposity-adjusted leptin concentrations. We identify five novel variants, including four missense variants, in LEP, ZNF800, KLHL31, and ACTL9, and one intergenic variant near KLF14. The missense variant Val94Met (rs17151919) in LEP was common in individuals of African ancestry only, and its association with lower leptin concentrations was specific to this ancestry (P = 2 × 10-16, n = 3,901). Using in vitro analyses, we show that the Met94 allele decreases leptin secretion. We also show that the Met94 allele is associated with higher BMI in young African-ancestry children but not in adults, suggesting that leptin regulates early adiposity.

Published
2020

21. Exposure to long-term source-specific transportation noise and incident breast cancer: A pooled study of eight Nordic cohorts

Author

Thacher, Jesse D., Oudin, Anna, Flanagan, Erin, Mattisson, Kristoffer, Albin, Maria, Roswall, Nina, Pyko, Andrei, Aasvang, Gunn Marit, Andersen, Zorana J., Borgquist, Signe, Brandt, Jørgen, Broberg, Karin, Cole-Hunter, Thomas, Eriksson, Charlotta, Eneroth, Kristina, Gudjonsdottir, Hrafnhildur, Helte, Emilie, Ketzel, Matthias, Lanki, Timo, Lim, Youn-Hee, Leander, Karin, Ljungman, Petter, Manjer, Jonas, Männistö, Satu, Raaschou-Nielsen, Ole, Pershagen, Göran, Rizzuto, Debora, Sandsveden, Malte, Selander, Jenny, Simonsen, Mette K., Stucki, Lara, Spanne, Mårten, Stockfelt, Leo, Tjønneland, Anne, Yli-Tuomi, Tarja, Tiittanen, Pekka, Valencia, Victor H., Ögren, Mikael, Åkesson, Agneta, and Sørensen, Mette

Published
2023
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23. Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium

Author

Merino, Jordi, Dashti, Hassan S, Li, Sherly X, Sarnowski, Chloé, Justice, Anne E, Graff, Misa, Papoutsakis, Constantina, Smith, Caren E, Dedoussis, George V, Lemaitre, Rozenn N, Wojczynski, Mary K, Männistö, Satu, Ngwa, Julius S, Kho, Minjung, Ahluwalia, Tarunveer S, Pervjakova, Natalia, Houston, Denise K, Bouchard, Claude, Huang, Tao, Orho-Melander, Marju, Frazier-Wood, Alexis C, Mook-Kanamori, Dennis O, Pérusse, Louis, Pennell, Craig E, de Vries, Paul S, Voortman, Trudy, Li, Olivia, Kanoni, Stavroula, Rose, Lynda M, Lehtimäki, Terho, Zhao, Jing Hua, Feitosa, Mary F, Luan, Jian’an, McKeown, Nicola M, Smith, Jennifer A, Hansen, Torben, Eklund, Niina, Nalls, Mike A, Rankinen, Tuomo, Huang, Jinyan, Hernandez, Dena G, Schulz, Christina-Alexandra, Manichaikul, Ani, Li-Gao, Ruifang, Vohl, Marie-Claude, Wang, Carol A, van Rooij, Frank JA, Shin, Jean, Kalafati, Ioanna P, Day, Felix, Ridker, Paul M, Kähönen, Mika, Siscovick, David S, Langenberg, Claudia, Zhao, Wei, Astrup, Arne, Knekt, Paul, Garcia, Melissa, Rao, DC, Qi, Qibin, Ferrucci, Luigi, Ericson, Ulrika, Blangero, John, Hofman, Albert, Pausova, Zdenka, Mikkilä, Vera, Wareham, Nick J, Kardia, Sharon LR, Pedersen, Oluf, Jula, Antti, Curran, Joanne E, Zillikens, M Carola, Viikari, Jorma S, Forouhi, Nita G, Ordovás, José M, Lieske, John C, Rissanen, Harri, Uitterlinden, André G, Raitakari, Olli T, Kiefte-de Jong, Jessica C, Dupuis, Josée, Rotter, Jerome I, North, Kari E, Scott, Robert A, Province, Michael A, Perola, Markus, Cupples, L Adrienne, Turner, Stephen T, Sørensen, Thorkild IA, Salomaa, Veikko, Liu, Yongmei, Sung, Yun J, Qi, Lu, Bandinelli, Stefania, Rich, Stephen S, de Mutsert, Renée, Tremblay, Angelo, Oddy, Wendy H, Franco, Oscar H, and Paus, Tomas

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Obesity, Human Genome, Genetics, Prevention, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Cardiovascular, Metabolic and endocrine, Aged, Aging, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Cohort Studies, Energy Intake, Female, Fibroblast Growth Factors, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Genotype, Heart Diseases, Humans, Male, Membrane Proteins, Middle Aged, Nutrients, Polymorphism, Single Nucleotide, Receptors, Retinoic Acid, White People, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Macronutrient intake, the proportion of calories consumed from carbohydrate, fat, and protein, is an important risk factor for metabolic diseases with significant familial aggregation. Previous studies have identified two genetic loci for macronutrient intake, but incomplete coverage of genetic variation and modest sample sizes have hindered the discovery of additional loci. Here, we expanded the genetic landscape of macronutrient intake, identifying 12 suggestively significant loci (P

Published
2019

25. Response to letter regarding ‘The impacts of partial replacement of red and processed meat with legumes or cereals on protein and amino acid intakes: a modelling study in the Finnish adult population’

Author

Simojoki, Meri, primary, Männistö, Satu, additional, Tapanainen, Heli, additional, Maukonen, Mirkka, additional, Valsta, Liisa M., additional, Itkonen, Suvi T., additional, Pajari, Anne-Maria, additional, and Kaartinen, Niina E., additional

Published
2024
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26. TOP-240-YI Hepatic mitochondrial reductive stress predicts liver mortality in the UK biobank

Author

Asteljoki, Juho, primary, Åberg, Fredrik, additional, Vangipurapu, Jagadish, additional, Kantojärvi, Katri, additional, Jokinen, Mari J., additional, Leinonen, Jaakko T., additional, Mars, Nina, additional, Männistö, Ville, additional, Lundqvist, Annamari, additional, Salomaa, Veikko, additional, Jula, Antti, additional, Männistö, Satu, additional, Perola, Markus, additional, Laakso, Markku, additional, Tukiainen, Taru, additional, and Luukkonen, Panu K., additional

Published
2024
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29. Exome-Derived Adiponectin-Associated Variants Implicate Obesity and Lipid Biology

Author

Spracklen, Cassandra N, Karaderi, Tugce, Yaghootkar, Hanieh, Schurmann, Claudia, Fine, Rebecca S, Kutalik, Zoltan, Preuss, Michael H, Lu, Yingchang, Wittemans, Laura BL, Adair, Linda S, Allison, Matthew, Amin, Najaf, Auer, Paul L, Bartz, Traci M, Blüher, Matthias, Boehnke, Michael, Borja, Judith B, Bork-Jensen, Jette, Broer, Linda, Chasman, Daniel I, Chen, Yii-Der Ida, Chirstofidou, Paraskevi, Demirkan, Ayse, van Duijn, Cornelia M, Feitosa, Mary F, Garcia, Melissa E, Graff, Mariaelisa, Grallert, Harald, Grarup, Niels, Guo, Xiuqing, Haesser, Jeffrey, Hansen, Torben, Harris, Tamara B, Highland, Heather M, Hong, Jaeyoung, Ikram, M Arfan, Ingelsson, Erik, Jackson, Rebecca, Jousilahti, Pekka, Kähönen, Mika, Kizer, Jorge R, Kovacs, Peter, Kriebel, Jennifer, Laakso, Markku, Lange, Leslie A, Lehtimäki, Terho, Li, Jin, Li-Gao, Ruifang, Lind, Lars, Luan, Jian'an, Lyytikäinen, Leo-Pekka, MacGregor, Stuart, Mackey, David A, Mahajan, Anubha, Mangino, Massimo, Männistö, Satu, McCarthy, Mark I, McKnight, Barbara, Medina-Gomez, Carolina, Meigs, James B, Molnos, Sophie, Mook-Kanamori, Dennis, Morris, Andrew P, de Mutsert, Renee, Nalls, Mike A, Nedeljkovic, Ivana, North, Kari E, Pennell, Craig E, Pradhan, Aruna D, Province, Michael A, Raitakari, Olli T, Raulerson, Chelsea K, Reiner, Alex P, Ridker, Paul M, Ripatti, Samuli, Roberston, Neil, Rotter, Jerome I, Salomaa, Veikko, Sandoval-Zárate, America A, Sitlani, Colleen M, Spector, Tim D, Strauch, Konstantin, Stumvoll, Michael, Taylor, Kent D, Thuesen, Betina, Tönjes, Anke, Uitterlinden, Andre G, Venturini, Cristina, Walker, Mark, Wang, Carol A, Wang, Shuai, Wareham, Nicholas J, Willems, Sara M, Willems van Dijk, Ko, Wilson, James G, Wu, Ying, Yao, Jie, Young, Kristin L, Langenberg, Claudia, and Frayling, Timothy M

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Nutrition, Obesity, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Cardiovascular, Adiponectin, Adipose Tissue, Adolescent, Adult, Black or African American, Aged, Aged, 80 and over, Exome, Female, Genetic Predisposition to Disease, Hispanic or Latino, Humans, Lipids, Male, Middle Aged, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, White People, Young Adult, adiponectin, cardio metabolic traits, exome, genetics, genome-wide association study, lipids, obesity, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Circulating levels of adiponectin, an adipocyte-secreted protein associated with cardiovascular and metabolic risk, are highly heritable. To gain insights into the biology that regulates adiponectin levels, we performed an exome array meta-analysis of 265,780 genetic variants in 67,739 individuals of European, Hispanic, African American, and East Asian ancestry. We identified 20 loci associated with adiponectin, including 11 that had been reported previously (p < 2 × 10-7). Comparison of exome array variants to regional linkage disequilibrium (LD) patterns and prior genome-wide association study (GWAS) results detected candidate variants (r2 > .60) spanning as much as 900 kb. To identify potential genes and mechanisms through which the previously unreported association signals act to affect adiponectin levels, we assessed cross-trait associations, expression quantitative trait loci in subcutaneous adipose, and biological pathways of nearby genes. Eight of the nine loci were also associated (p < 1 × 10-4) with at least one obesity or lipid trait. Candidate genes include PRKAR2A, PTH1R, and HDAC9, which have been suggested to play roles in adipocyte differentiation or bone marrow adipose tissue. Taken together, these findings provide further insights into the processes that influence circulating adiponectin levels.

Published
2019

30. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

Author

Walters, Raymond K, Polimanti, Renato, Johnson, Emma C, McClintick, Jeanette N, Adams, Mark J, Adkins, Amy E, Aliev, Fazil, Bacanu, Silviu-Alin, Batzler, Anthony, Bertelsen, Sarah, Biernacka, Joanna M, Bigdeli, Tim B, Chen, Li-Shiun, Clarke, Toni-Kim, Chou, Yi-Ling, Degenhardt, Franziska, Docherty, Anna R, Edwards, Alexis C, Fontanillas, Pierre, Foo, Jerome C, Fox, Louis, Frank, Josef, Giegling, Ina, Gordon, Scott, Hack, Laura M, Hartmann, Annette M, Hartz, Sarah M, Heilmann-Heimbach, Stefanie, Herms, Stefan, Hodgkinson, Colin, Hoffmann, Per, Jan Hottenga, Jouke, Kennedy, Martin A, Alanne-Kinnunen, Mervi, Konte, Bettina, Lahti, Jari, Lahti-Pulkkinen, Marius, Lai, Dongbing, Ligthart, Lannie, Loukola, Anu, Maher, Brion S, Mbarek, Hamdi, McIntosh, Andrew M, McQueen, Matthew B, Meyers, Jacquelyn L, Milaneschi, Yuri, Palviainen, Teemu, Pearson, John F, Peterson, Roseann E, Ripatti, Samuli, Ryu, Euijung, Saccone, Nancy L, Salvatore, Jessica E, Sanchez-Roige, Sandra, Schwandt, Melanie, Sherva, Richard, Streit, Fabian, Strohmaier, Jana, Thomas, Nathaniel, Wang, Jen-Chyong, Webb, Bradley T, Wedow, Robbee, Wetherill, Leah, Wills, Amanda G, Boardman, Jason D, Chen, Danfeng, Choi, Doo-Sup, Copeland, William E, Culverhouse, Robert C, Dahmen, Norbert, Degenhardt, Louisa, Domingue, Benjamin W, Elson, Sarah L, Frye, Mark A, Gäbel, Wolfgang, Hayward, Caroline, Ising, Marcus, Keyes, Margaret, Kiefer, Falk, Kramer, John, Kuperman, Samuel, Lucae, Susanne, Lynskey, Michael T, Maier, Wolfgang, Mann, Karl, Männistö, Satu, Müller-Myhsok, Bertram, Murray, Alison D, Nurnberger, John I, Palotie, Aarno, Preuss, Ulrich, Räikkönen, Katri, Reynolds, Maureen D, Ridinger, Monika, Scherbaum, Norbert, Schuckit, Marc A, Soyka, Michael, Treutlein, Jens, Witt, Stephanie, and Wodarz, Norbert

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Alcoholism, Alcohol Use and Health, Neurosciences, Brain Disorders, Substance Misuse, Mental Health, Genetics, Behavioral and Social Science, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Alcoholism, Alleles, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Mental Disorders, Phenotype, Polymorphism, Single Nucleotide, 23andMe Research Team, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest genome-wide association study to date of DSM-IV-diagnosed AD. Genome-wide data on 14,904 individuals with AD and 37,944 controls from 28 case-control and family-based studies were meta-analyzed, stratified by genetic ancestry (European, n = 46,568; African, n = 6,280). Independent, genome-wide significant effects of different ADH1B variants were identified in European (rs1229984; P = 9.8 × 10-13) and African ancestries (rs2066702; P = 2.2 × 10-9). Significant genetic correlations were observed with 17 phenotypes, including schizophrenia, attention deficit-hyperactivity disorder, depression, and use of cigarettes and cannabis. The genetic underpinnings of AD only partially overlap with those for alcohol consumption, underscoring the genetic distinction between pathological and nonpathological drinking behaviors.

Published
2018

33. Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

Author

Fernandez-Rozadilla, Ceres, Timofeeva, Maria, Chen, Zhishan, Law, Philip, Thomas, Minta, Schmit, Stephanie, Díez-Obrero, Virginia, Hsu, Li, Fernandez-Tajes, Juan, Palles, Claire, Sherwood, Kitty, Briggs, Sarah, Svinti, Victoria, Donnelly, Kevin, Farrington, Susan, Blackmur, James, Vaughan-Shaw, Peter, Shu, Xiao-ou, Long, Jirong, Cai, Qiuyin, Guo, Xingyi, Lu, Yingchang, Broderick, Peter, Studd, James, Huyghe, Jeroen, Harrison, Tabitha, Conti, David, Dampier, Christopher, Devall, Mathew, Schumacher, Fredrick, Melas, Marilena, Rennert, Gad, Obón-Santacana, Mireia, Martín-Sánchez, Vicente, Moratalla-Navarro, Ferran, Oh, Jae Hwan, Kim, Jeongseon, Jee, Sun Ha, Jung, Keum Ji, Kweon, Sun-Seog, Shin, Min-Ho, Shin, Aesun, Ahn, Yoon-Ok, Kim, Dong-Hyun, Oze, Isao, Wen, Wanqing, Matsuo, Keitaro, Matsuda, Koichi, Tanikawa, Chizu, Ren, Zefang, Gao, Yu-Tang, Jia, Wei-Hua, Hopper, John, Jenkins, Mark, Win, Aung Ko, Pai, Rish, Figueiredo, Jane, Haile, Robert, Gallinger, Steven, Woods, Michael, Newcomb, Polly, Duggan, David, Cheadle, Jeremy, Kaplan, Richard, Maughan, Timothy, Kerr, Rachel, Kerr, David, Kirac, Iva, Böhm, Jan, Mecklin, Lukka-Pekka, Jousilahti, Pekka, Knekt, Paul, Aaltonen, Lauri, Rissanen, Harri, Pukkala, Eero, Eriksson, Johan, Cajuso, Tatiana, Hänninen, Ulrika, Kondelin, Johanna, Palin, Kimmo, Tanskanen, Tomas, Renkonen-Sinisalo, Laura, Zanke, Brent, Männistö, Satu, Albanes, Demetrius, Weinstein, Stephanie, Ruiz-Narvaez, Edward, Palmer, Julie, Buchanan, Daniel, Platz, Elizabeth, Visvanathan, Kala, Ulrich, Cornelia, Siegel, Erin, Brezina, Stefanie, Gsur, Andrea, Campbell, Peter, Chang-Claude, Jenny, Hoffmeister, Michael, Brenner, Hermann, Slattery, Martha, Potter, John, Tsilidis, Konstantinos, Schulze, Matthias, Gunter, Marc, Murphy, Neil, Castells, Antoni, Castellví-Bel, Sergi, Moreira, Leticia, Arndt, Volker, Shcherbina, Anna, Stern, Mariana, Pardamean, Bens, Bishop, Timothy, Giles, Graham, Southey, Melissa, Idos, Gregory, McDonnell, Kevin, Abu-Ful, Zomoroda, Greenson, Joel, Shulman, Katerina, Lejbkowicz, Flavio, Offit, Kenneth, Su, Yu-Ru, Steinfelder, Robert, Keku, Temitope, van Guelpen, Bethany, Hudson, Thomas, Hampel, Heather, Pearlman, Rachel, Berndt, Sonja, Hayes, Richard, Martinez, Marie Elena, Thomas, Sushma, Corley, Douglas, Pharoah, Paul, Larsson, Susanna, Yen, Yun, Lenz, Heinz-Josef, White, Emily, Li, Li, Doheny, Kimberly, Pugh, Elizabeth, Shelford, Tameka, Chan, Andrew, Cruz-Correa, Marcia, Lindblom, Annika, Hunter, David, Joshi, Amit, Schafmayer, Clemens, Scacheri, Peter, Kundaje, Anshul, Nickerson, Deborah, Schoen, Robert, Hampe, Jochen, Stadler, Zsofia, Vodicka, Pavel, Vodickova, Ludmila, Vymetalkova, Veronika, Papadopoulos, Nickolas, Edlund, Chistopher, Gauderman, William, Thomas, Duncan, Shibata, David, Toland, Amanda, Markowitz, Sanford, Kim, Andre, Chanock, Stephen, van Duijnhoven, Franzel, Feskens, Edith, Sakoda, Lori, Gago-Dominguez, Manuela, Wolk, Alicja, Naccarati, Alessio, Pardini, Barbara, FitzGerald, Liesel, Lee, Soo Chin, Ogino, Shuji, Bien, Stephanie, Kooperberg, Charles, Li, Christopher, Lin, Yi, Prentice, Ross, Qu, Conghui, Bézieau, Stéphane, Tangen, Catherine, Mardis, Elaine, Yamaji, Taiki, Sawada, Norie, Iwasaki, Motoki, Haiman, Christopher, Le Marchand, Loic, Wu, Anna, Qu, Chenxu, McNeil, Caroline, Coetzee, Gerhard, Hayward, Caroline, Deary, Ian, Harris, Sarah, Theodoratou, Evropi, Reid, Stuart, Walker, Marion, Ooi, Li Yin, Moreno, Victor, Casey, Graham, Gruber, Stephen, Tomlinson, Ian, Zheng, Wei, Dunlop, Malcolm, Houlston, Richard, and Peters, Ulrike

Published
2023
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35. Low Free Testosterone and Prostate Cancer Risk: A Collaborative Analysis of 20 Prospective Studies

Author

Watts, Eleanor L, Appleby, Paul N, Perez-Cornago, Aurora, Bueno-de-Mesquita, H Bas, Chan, June M, Chen, Chu, Cohn, Barbara A, Cook, Michael B, Flicker, Leon, Freedman, Neal D, Giles, Graham G, Giovannucci, Edward, Gislefoss, Randi E, Hankey, Graeme J, Kaaks, Rudolf, Knekt, Paul, Kolonel, Laurence N, Kubo, Tatsuhiko, Le Marchand, Loïc, Luben, Robert N, Luostarinen, Tapio, Männistö, Satu, Metter, E Jeffrey, Mikami, Kazuya, Milne, Roger L, Ozasa, Kotaro, Platz, Elizabeth A, Quirós, J Ramón, Rissanen, Harri, Sawada, Norie, Stampfer, Meir, Stanczyk, Frank Z, Stattin, Pär, Tamakoshi, Akiko, Tangen, Catherine M, Thompson, Ian M, Tsilidis, Konstantinos K, Tsugane, Shoichiro, Ursin, Giske, Vatten, Lars, Weiss, Noel S, Yeap, Bu B, Allen, Naomi E, Key, Timothy J, and Travis, Ruth C

Subjects
Cancer, Clinical Research, Prevention, Urologic Diseases, Prostate Cancer, Aging, Aetiology, 2.1 Biological and endogenous factors, Adult, Aged, Biomarkers, Case-Control Studies, Down-Regulation, Humans, Male, Middle Aged, Neoplasm Grading, Prospective Studies, Prostatic Neoplasms, Protective Factors, Risk Assessment, Risk Factors, Testosterone, Time Factors, Androgens Pooled analysis, Prospective studies, Prostate cancer, Sex hormones, Epidemiology, Androgens, Pooled analysis, Clinical Sciences, Urology & Nephrology
Abstract

BackgroundExperimental and clinical evidence implicates testosterone in the aetiology of prostate cancer. Variation across the normal range of circulating free testosterone concentrations may not lead to changes in prostate biology, unless circulating concentrations are low. This may also apply to prostate cancer risk, but this has not been investigated in an epidemiological setting.ObjectiveTo examine whether men with low concentrations of circulating free testosterone have a reduced risk of prostate cancer.Design, setting, and participantsAnalysis of individual participant data from 20 prospective studies including 6933 prostate cancer cases, diagnosed on average 6.8 yr after blood collection, and 12 088 controls in the Endogenous Hormones, Nutritional Biomarkers and Prostate Cancer Collaborative Group.Outcome measurements and statistical analysisOdds ratios (ORs) of incident overall prostate cancer and subtypes by stage and grade, using conditional logistic regression, based on study-specific tenths of calculated free testosterone concentration.Results and limitationsMen in the lowest tenth of free testosterone concentration had a lower risk of overall prostate cancer (OR=0.77, 95% confidence interval [CI] 0.69-0.86; p

Published
2018

36. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

Author

Chen, Zhishan, primary, Guo, Xingyi, additional, Tao, Ran, additional, Huyghe, Jeroen R., additional, Law, Philip J., additional, Fernandez-Rozadilla, Ceres, additional, Ping, Jie, additional, Jia, Guochong, additional, Long, Jirong, additional, Li, Chao, additional, Shen, Quanhu, additional, Xie, Yuhan, additional, Timofeeva, Maria N., additional, Thomas, Minta, additional, Schmit, Stephanie L., additional, Díez-Obrero, Virginia, additional, Devall, Matthew, additional, Moratalla-Navarro, Ferran, additional, Fernandez-Tajes, Juan, additional, Palles, Claire, additional, Sherwood, Kitty, additional, Briggs, Sarah E. W., additional, Svinti, Victoria, additional, Donnelly, Kevin, additional, Farrington, Susan M., additional, Blackmur, James, additional, Vaughan-Shaw, Peter G., additional, Shu, Xiao-Ou, additional, Lu, Yingchang, additional, Broderick, Peter, additional, Studd, James, additional, Harrison, Tabitha A., additional, Conti, David V., additional, Schumacher, Fredrick R., additional, Melas, Marilena, additional, Rennert, Gad, additional, Obón-Santacana, Mireia, additional, Martín-Sánchez, Vicente, additional, Oh, Jae Hwan, additional, Kim, Jeongseon, additional, Jee, Sun Ha, additional, Jung, Keum Ji, additional, Kweon, Sun-Seog, additional, Shin, Min-Ho, additional, Shin, Aesun, additional, Ahn, Yoon-Ok, additional, Kim, Dong-Hyun, additional, Oze, Isao, additional, Wen, Wanqing, additional, Matsuo, Keitaro, additional, Matsuda, Koichi, additional, Tanikawa, Chizu, additional, Ren, Zefang, additional, Gao, Yu-Tang, additional, Jia, Wei-Hua, additional, Hopper, John L., additional, Jenkins, Mark A., additional, Win, Aung Ko, additional, Pai, Rish K., additional, Figueiredo, Jane C., additional, Haile, Robert W., additional, Gallinger, Steven, additional, Woods, Michael O., additional, Newcomb, Polly A., additional, Duggan, David, additional, Cheadle, Jeremy P., additional, Kaplan, Richard, additional, Kerr, Rachel, additional, Kerr, David, additional, Kirac, Iva, additional, Böhm, Jan, additional, Mecklin, Jukka-Pekka, additional, Jousilahti, Pekka, additional, Knekt, Paul, additional, Aaltonen, Lauri A., additional, Rissanen, Harri, additional, Pukkala, Eero, additional, Eriksson, Johan G., additional, Cajuso, Tatiana, additional, Hänninen, Ulrika, additional, Kondelin, Johanna, additional, Palin, Kimmo, additional, Tanskanen, Tomas, additional, Renkonen-Sinisalo, Laura, additional, Männistö, Satu, additional, Albanes, Demetrius, additional, Weinstein, Stephanie J., additional, Ruiz-Narvaez, Edward, additional, Palmer, Julie R., additional, Buchanan, Daniel D., additional, Platz, Elizabeth A., additional, Visvanathan, Kala, additional, Ulrich, Cornelia M., additional, Siegel, Erin, additional, Brezina, Stefanie, additional, Gsur, Andrea, additional, Campbell, Peter T., additional, Chang-Claude, Jenny, additional, Hoffmeister, Michael, additional, Brenner, Hermann, additional, Slattery, Martha L., additional, Potter, John D., additional, Tsilidis, Kostas K., additional, Schulze, Matthias B., additional, Gunter, Marc J., additional, Murphy, Neil, additional, Castells, Antoni, additional, Castellví-Bel, Sergi, additional, Moreira, Leticia, additional, Arndt, Volker, additional, Shcherbina, Anna, additional, Bishop, D. Timothy, additional, Giles, Graham G., additional, Southey, Melissa C., additional, Idos, Gregory E., additional, McDonnell, Kevin J., additional, Abu-Ful, Zomoroda, additional, Greenson, Joel K., additional, Shulman, Katerina, additional, Lejbkowicz, Flavio, additional, Offit, Kenneth, additional, Su, Yu-Ru, additional, Steinfelder, Robert, additional, Keku, Temitope O., additional, van Guelpen, Bethany, additional, Hudson, Thomas J., additional, Hampel, Heather, additional, Pearlman, Rachel, additional, Berndt, Sonja I., additional, Hayes, Richard B., additional, Martinez, Marie Elena, additional, Thomas, Sushma S., additional, Pharoah, Paul D. P., additional, Larsson, Susanna C., additional, Yen, Yun, additional, Lenz, Heinz-Josef, additional, White, Emily, additional, Li, Li, additional, Doheny, Kimberly F., additional, Pugh, Elizabeth, additional, Shelford, Tameka, additional, Chan, Andrew T., additional, Cruz-Correa, Marcia, additional, Lindblom, Annika, additional, Hunter, David J., additional, Joshi, Amit D., additional, Schafmayer, Clemens, additional, Scacheri, Peter C., additional, Kundaje, Anshul, additional, Schoen, Robert E., additional, Hampe, Jochen, additional, Stadler, Zsofia K., additional, Vodicka, Pavel, additional, Vodickova, Ludmila, additional, Vymetalkova, Veronika, additional, Edlund, Christopher K., additional, Gauderman, W. James, additional, Shibata, David, additional, Toland, Amanda, additional, Markowitz, Sanford, additional, Kim, Andre, additional, Chanock, Stephen J., additional, van Duijnhoven, Franzel, additional, Feskens, Edith J. M., additional, Sakoda, Lori C., additional, Gago-Dominguez, Manuela, additional, Wolk, Alicja, additional, Pardini, Barbara, additional, FitzGerald, Liesel M., additional, Lee, Soo Chin, additional, Ogino, Shuji, additional, Bien, Stephanie A., additional, Kooperberg, Charles, additional, Li, Christopher I., additional, Lin, Yi, additional, Prentice, Ross, additional, Qu, Conghui, additional, Bézieau, Stéphane, additional, Yamaji, Taiki, additional, Sawada, Norie, additional, Iwasaki, Motoki, additional, Le Marchand, Loic, additional, Wu, Anna H., additional, Qu, Chenxu, additional, McNeil, Caroline E., additional, Coetzee, Gerhard, additional, Hayward, Caroline, additional, Deary, Ian J., additional, Harris, Sarah E., additional, Theodoratou, Evropi, additional, Reid, Stuart, additional, Walker, Marion, additional, Ooi, Li Yin, additional, Lau, Ken S., additional, Zhao, Hongyu, additional, Hsu, Li, additional, Cai, Qiuyin, additional, Dunlop, Malcolm G., additional, Gruber, Stephen B., additional, Houlston, Richard S., additional, Moreno, Victor, additional, Casey, Graham, additional, Peters, Ulrike, additional, Tomlinson, Ian, additional, and Zheng, Wei, additional

Published
2024
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39. Supplementary Methods from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Author

Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary

Published
2024
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40. Supplementary Table 2 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Author

Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary

Published
2024
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42. Supplementary Figure 4 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Author

Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary

Published
2024
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43. Data from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Author

Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary

Published
2024
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44. Supplementary Table 1 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Author

Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary

Published
2024
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45. Supplementary Figure 1 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Author

Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary

Published
2024
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46. Supplementary Figure 2 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Author

Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary

Published
2024
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47. Supplementary Figure 3 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Author

Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary

Published
2024
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48. Supplementary Figure 5 from Genome-Wide Gene–Environment Interaction Analyses to Understand the Relationship between Red Meat and Processed Meat Intake and Colorectal Cancer Risk

Author

Stern, Mariana C., primary, Sanchez Mendez, Joel, primary, Kim, Andre E., primary, Obón-Santacana, Mireia, primary, Moratalla-Navarro, Ferran, primary, Martín, Vicente, primary, Moreno, Victor, primary, Lin, Yi, primary, Bien, Stephanie A., primary, Qu, Conghui, primary, Su, Yu-Ru, primary, White, Emily, primary, Harrison, Tabitha A., primary, Huyghe, Jeroen R., primary, Tangen, Catherine M., primary, Newcomb, Polly A., primary, Phipps, Amanda I., primary, Thomas, Claire E., primary, Kawaguchi, Eric S., primary, Lewinger, Juan Pablo, primary, Morrison, John L., primary, Conti, David V., primary, Wang, Jun, primary, Thomas, Duncan C., primary, Platz, Elizabeth A., primary, Visvanathan, Kala, primary, Keku, Temitope O., primary, Newton, Christina C., primary, Um, Caroline Y., primary, Kundaje, Anshul, primary, Shcherbina, Anna, primary, Murphy, Neil, primary, Gunter, Marc J., primary, Dimou, Niki, primary, Papadimitriou, Nikos, primary, Bézieau, Stéphane, primary, van Duijnhoven, Franzel J.B., primary, Männistö, Satu, primary, Rennert, Gad, primary, Wolk, Alicja, primary, Hoffmeister, Michael, primary, Brenner, Hermann, primary, Chang-Claude, Jenny, primary, Tian, Yu, primary, Le Marchand, Loïc, primary, Cotterchio, Michelle, primary, Tsilidis, Konstantinos K., primary, Bishop, D. Timothy, primary, Melaku, Yohannes Adama, primary, Lynch, Brigid M., primary, Buchanan, Daniel D., primary, Ulrich, Cornelia M., primary, Ose, Jennifer, primary, Peoples, Anita R., primary, Pellatt, Andrew J., primary, Li, Li, primary, Devall, Matthew A.M., primary, Campbell, Peter T., primary, Albanes, Demetrius, primary, Weinstein, Stephanie J., primary, Berndt, Sonja I., primary, Gruber, Stephen B., primary, Ruiz-Narvaez, Edward, primary, Song, Mingyang, primary, Joshi, Amit D., primary, Drew, David A., primary, Petrick, Jessica L., primary, Chan, Andrew T., primary, Giannakis, Marios, primary, Peters, Ulrike, primary, Hsu, Li, primary, and Gauderman, W. James, primary

Published
2024
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50. Genome-wide association meta-analysis of fish and EPA+DHA consumption in 17 US and European cohorts

Author

Mozaffarian, Dariush, Dashti, Hassan S, Wojczynski, Mary K, Chu, Audrey Y, Nettleton, Jennifer A, Männistö, Satu, Kristiansson, Kati, Reedik, Mägi, Lahti, Jari, Houston, Denise K, Cornelis, Marilyn C, van Rooij, Frank JA, Dimitriou, Maria, Kanoni, Stavroula, Mikkilä, Vera, Steffen, Lyn M, de Oliveira Otto, Marcia C, Qi, Lu, Psaty, Bruce, Djousse, Luc, Rotter, Jerome I, Harald, Kennet, Perola, Markus, Rissanen, Harri, Jula, Antti, Krista, Fischer, Mihailov, Evelin, Feitosa, Mary F, Ngwa, Julius S, Xue, Luting, Jacques, Paul F, Perälä, Mia-Maria, Palotie, Aarno, Liu, Yongmei, Nalls, Nike A, Ferrucci, Luigi, Hernandez, Dena, Manichaikul, Ani, Tsai, Michael Y, Jong, Jessica C Kiefte-de, Hofman, Albert, Uitterlinden, André G, Rallidis, Loukianos, Ridker, Paul M, Rose, Lynda M, Buring, Julie E, Lehtimäki, Terho, Kähönen, Mika, Viikari, Jorma, Lemaitre, Rozenn, Salomaa, Veikko, Knekt, Paul, Metspalu, Andres, Borecki, Ingrid B, Cupples, L Adrienne, Eriksson, Johan G, Kritchevsky, Stephen B, Bandinelli, Stefania, Siscovick, David, Franco, Oscar H, Deloukas, Panos, Dedoussis, George, Chasman, Daniel I, Raitakari, Olli, and Tanaka, Toshiko

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Nutrition and Dietetics, Complementary and Integrative Health, Human Genome, Nutrition, Aging, Prevention, Obesity, Stroke, Cardiovascular, Oral and gastrointestinal, Adult, Aged, Cohort Studies, Docosahexaenoic Acids, Eicosapentaenoic Acid, Europe, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Seafood, United States, White People, General Science & Technology
Abstract

BackgroundRegular fish and omega-3 consumption may have several health benefits and are recommended by major dietary guidelines. Yet, their intakes remain remarkably variable both within and across populations, which could partly owe to genetic influences.ObjectiveTo identify common genetic variants that influence fish and dietary eicosapentaenoic acid plus docosahexaenoic acid (EPA+DHA) consumption.DesignWe conducted genome-wide association (GWA) meta-analysis of fish (n = 86,467) and EPA+DHA (n = 62,265) consumption in 17 cohorts of European descent from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium Nutrition Working Group. Results from cohort-specific GWA analyses (additive model) for fish and EPA+DHA consumption were adjusted for age, sex, energy intake, and population stratification, and meta-analyzed separately using fixed-effect meta-analysis with inverse variance weights (METAL software). Additionally, heritability was estimated in 2 cohorts.ResultsHeritability estimates for fish and EPA+DHA consumption ranged from 0.13-0.24 and 0.12-0.22, respectively. A significant GWA for fish intake was observed for rs9502823 on chromosome 6: each copy of the minor allele (FreqA = 0.015) was associated with 0.029 servings/day (~1 serving/month) lower fish consumption (P = 1.96x10-8). No significant association was observed for EPA+DHA, although rs7206790 in the obesity-associated FTO gene was among top hits (P = 8.18x10-7). Post-hoc calculations demonstrated 95% statistical power to detect a genetic variant associated with effect size of 0.05% for fish and 0.08% for EPA+DHA.ConclusionsThese novel findings suggest that non-genetic personal and environmental factors are principal determinants of the remarkable variation in fish consumption, representing modifiable targets for increasing intakes among all individuals. Genes underlying the signal at rs72838923 and mechanisms for the association warrant further investigation.

Published
2017

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