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

Author

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

Abstract

Background: Regular 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. Objective: To identify common genetic variants that influence fish and dietary eicosapentaenoic acid plus docosahexaenoic acid (EPA+DHA) consumption. Design: We 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. Results: Heritability estimates for fish and EPA+DHA consumption ranged from 0.13

Published
2017
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2. Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: A meta-analysis of 50,345 Caucasians

Author

Fretts, A.M. (Amanda M.), Follis, J.L. (Jack ), Nettleton, J.A. (Jennifer ), Lemaitre, R.N. (Rozenn ), Ngwa, J.S., Wojczynski, M.K. (Mary ), Kalafati, I.-P. (Ioanna-Panagiota), Varga, T.V. (Tibor V.), Frazier-Wood, A.C. (Alexis C.), Houston, D.K. (Denise), Lahti, J. (Jari), Ericson, U. (Ulrika), Hooven, E.H. (Edith) van den, Mikkilä, V. (Vera), Kiefte-de Jong, J.C. (Jessica), Mozaffarian, D. (Dariush), Rice, K.M. (Kenneth), Renström, F. (Frida), North, K.E. (Kari), McKeown, N.M. (Nicola ), Feitosa, M.F. (Mary Furlan), Kanoni, S. (Stavroula), Smith, C.E. (Caren), Garcia, M. (Melissa), Tiainen, A.-M. (Anna-Maija), Sonestedt, E. (Emily), Manichaikul, A. (Ani), Rooij, F.J.A. (Frank) van, Dimitriou, M. (Maria), Raitakari, O. (Olli), Pankow, J.S. (James), Djoussé, L. (Luc), Province, M.A. (Mike), Hu, F.B. (Frank), Lai, C.-Q. (Chao-Qiang), Keller, M.F. (Margaux), Perälä, M.-M. (Mia-Maria), Rotter, J.I. (Jerome I.), Hofman, A. (Albert), Graff, M.J. (Maud J.L.), Kähönen, M. (Mika), Mukamal, K. (Kenneth), Johansson, I. (Ingegerd), Ordovas, J.M. (Jose), Liu, Y. (YongMei), Männistö, S. (Satu), Uitterlinden, A.G. (André), Deloukas, P. (Panagiotis), Seppälä, I. (Ilkka), Psaty, B.M. (Bruce), Cupples, L.A. (Adrienne), Borecki, I.B. (Ingrid), Franks, P.W. (Paul W.), Arnett, D.K. (Donna), Nalls, M.A. (Michael), Hagen, K. (Knut), Orho-Melander, M. (Marju), Franco, O.H. (Oscar), Lehtimäki, T. (Terho), Dedoussis, G.V. (George), Meigs, J.B. (James), Siscovick, D.S. (David), Fretts, A.M. (Amanda M.), Follis, J.L. (Jack ), Nettleton, J.A. (Jennifer ), Lemaitre, R.N. (Rozenn ), Ngwa, J.S., Wojczynski, M.K. (Mary ), Kalafati, I.-P. (Ioanna-Panagiota), Varga, T.V. (Tibor V.), Frazier-Wood, A.C. (Alexis C.), Houston, D.K. (Denise), Lahti, J. (Jari), Ericson, U. (Ulrika), Hooven, E.H. (Edith) van den, Mikkilä, V. (Vera), Kiefte-de Jong, J.C. (Jessica), Mozaffarian, D. (Dariush), Rice, K.M. (Kenneth), Renström, F. (Frida), North, K.E. (Kari), McKeown, N.M. (Nicola ), Feitosa, M.F. (Mary Furlan), Kanoni, S. (Stavroula), Smith, C.E. (Caren), Garcia, M. (Melissa), Tiainen, A.-M. (Anna-Maija), Sonestedt, E. (Emily), Manichaikul, A. (Ani), Rooij, F.J.A. (Frank) van, Dimitriou, M. (Maria), Raitakari, O. (Olli), Pankow, J.S. (James), Djoussé, L. (Luc), Province, M.A. (Mike), Hu, F.B. (Frank), Lai, C.-Q. (Chao-Qiang), Keller, M.F. (Margaux), Perälä, M.-M. (Mia-Maria), Rotter, J.I. (Jerome I.), Hofman, A. (Albert), Graff, M.J. (Maud J.L.), Kähönen, M. (Mika), Mukamal, K. (Kenneth), Johansson, I. (Ingegerd), Ordovas, J.M. (Jose), Liu, Y. (YongMei), Männistö, S. (Satu), Uitterlinden, A.G. (André), Deloukas, P. (Panagiotis), Seppälä, I. (Ilkka), Psaty, B.M. (Bruce), Cupples, L.A. (Adrienne), Borecki, I.B. (Ingrid), Franks, P.W. (Paul W.), Arnett, D.K. (Donna), Nalls, M.A. (Michael), Hagen, K. (Knut), Orho-Melander, M. (Marju), Franco, O.H. (Oscar), Lehtimäki, T. (Terho), Dedoussis, G.V. (George), Meigs, J.B. (James), and Siscovick, D.S. (David)

Abstract

Background: Recent studies suggest that meat intake is associated with diabetes-related phenotypes. However, whether the associations of meat intake and glucose and insulin homeostasis are modified by genes related to glucose and insulin is unknown. Objective: We investigated the associations of meat intake and the interaction of meat with genotype on fasting glucose and insulin concentrations in Caucasians free of diabetes mellitus. Design: Fourteen studies that are part of the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium participated in the analysis. Data were provided for up to 50,345 participants. Using linear regression within studies and a fixed-effects meta-analysis across studies, we examined 1) the associations of processed meat and unprocessed red meat intake with fasting glucose and insulin concentrations; and 2) the interactions of processed meat and unprocessed red meat with genetic risk score related to fasting glucose or insulin resistance on fasting glucose and insulin concentrations. Results: Processed meat was associated with higher fasting glucose, and unprocessed red meat was associated with both higher fasting glucose and fasting insulin concentrations after adjustment for potential confounders [not including body mass index (BMI)]. For every additional 50-g serving of processed meat per day, fasting glucose was 0.021 mmol/L (95% CI: 0.011, 0.030 mmol/L) higher. Every additional 100-g serving of unprocessed red meat per day was associated with a 0.037-mmol/L (95% CI: 0.023, 0.051-mmol/L) higher fasting glucose concentration and a 0.049-ln-pmol/L (95% CI: 0.035, 0.063-ln-pmol/L) higher fasting insulin concentration. After additional adjustment for BMI, observed associations were attenuated and no longer statistically significant. The association of processed meat and fasting insulin did not reach statistical significance after correction for multiple comparisons. Observed associations were not modified by genetic loci k

Published
2015
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3. Gene × dietary pattern interactions in obesity: Analysis of up to 68 317 adults of European ancestry

Author

Nettleton, J.A., Follis, J.L. (Jack ), Ngwa, J.S., Smith, C.E. (Caren), Ahmad, S. (Shafqat), Tanaka, T. (Toshiko), Wojczynski, M.K. (Mary ), Voortman, R.G. (Trudy), Lemaitre, R.N. (Rozenn ), Kristiansson, K. (Kati), Nuotio, M.-L. (Marja-Liisa), Houston, D.K., Perälä, M.-M. (Mia-Maria), Qi, Q., Sonestedt, E. (Emily), Manichaikul, A. (Ani), Kanoni, S. (Stavroula), Ganna, A. (Andrea), Mikkilä, V. (Vera), North, K.E. (Kari), Siscovick, D.S. (David), Harald, K. (Kennet), McKeown, N.M. (Nicola ), Johansson, I. (Ingegerd), Rissanen, H. (Harri), Liu, Y. (YongMei), Lahti, J. (Jari), Hu, F.B. (Frank), Bandinelli, S. (Stefania), Rukh, G. (Gull), Rich, S.S. (Stephen S.), Booij, L. (Lisanne), Dmitriou, M. (Maria), Ax, E. (Erika), Raitakari, O.T. (Olli T.), Mukamal, K. (Kenneth), Männistö, S. (Satu), Hallmans, G. (Göran), Jula, A. (Antti), Ericson, U. (Ulrika), Jacobs, D.R. (David), Rooij, F.J.A. (Frank) van, Deloukas, P. (Panagiotis), Sjøgren, P. (Per), Kähönen, M. (Mika), Djoussé, L. (Luc), Perola, M. (Markus), Barroso, I.E. (Inês), Hofman, A. (Albert), Stirrups, K. (Kathy), Viikari, J. (Jorma), Uitterlinden, A.G. (André), Kalafati, I.-P. (Ioanna-Panagiota), Franco, O.H. (Oscar), Mozaffarian, D. (Dariush), Salomaa, V. (Veikko), Borecki, I.B. (Ingrid), Knekt, P., Kritchevsky, S.B. (Stephen), Hagen, K. (Knut), Dedoussis, G.V. (George), Qi, L. (Lu), Ferrucci, L. (Luigi), Orho-Melander, M. (Marju), Zillikens, M.C. (Carola), Ingelsson, E. (Erik), Lehtimäki, T. (Terho), Renström, F. (Frida), Cupples, L.A. (Adrienne), Loos, R.J.F. (Ruth), Franks, P.W. (Paul), Nettleton, J.A., Follis, J.L. (Jack ), Ngwa, J.S., Smith, C.E. (Caren), Ahmad, S. (Shafqat), Tanaka, T. (Toshiko), Wojczynski, M.K. (Mary ), Voortman, R.G. (Trudy), Lemaitre, R.N. (Rozenn ), Kristiansson, K. (Kati), Nuotio, M.-L. (Marja-Liisa), Houston, D.K., Perälä, M.-M. (Mia-Maria), Qi, Q., Sonestedt, E. (Emily), Manichaikul, A. (Ani), Kanoni, S. (Stavroula), Ganna, A. (Andrea), Mikkilä, V. (Vera), North, K.E. (Kari), Siscovick, D.S. (David), Harald, K. (Kennet), McKeown, N.M. (Nicola ), Johansson, I. (Ingegerd), Rissanen, H. (Harri), Liu, Y. (YongMei), Lahti, J. (Jari), Hu, F.B. (Frank), Bandinelli, S. (Stefania), Rukh, G. (Gull), Rich, S.S. (Stephen S.), Booij, L. (Lisanne), Dmitriou, M. (Maria), Ax, E. (Erika), Raitakari, O.T. (Olli T.), Mukamal, K. (Kenneth), Männistö, S. (Satu), Hallmans, G. (Göran), Jula, A. (Antti), Ericson, U. (Ulrika), Jacobs, D.R. (David), Rooij, F.J.A. (Frank) van, Deloukas, P. (Panagiotis), Sjøgren, P. (Per), Kähönen, M. (Mika), Djoussé, L. (Luc), Perola, M. (Markus), Barroso, I.E. (Inês), Hofman, A. (Albert), Stirrups, K. (Kathy), Viikari, J. (Jorma), Uitterlinden, A.G. (André), Kalafati, I.-P. (Ioanna-Panagiota), Franco, O.H. (Oscar), Mozaffarian, D. (Dariush), Salomaa, V. (Veikko), Borecki, I.B. (Ingrid), Knekt, P., Kritchevsky, S.B. (Stephen), Hagen, K. (Knut), Dedoussis, G.V. (George), Qi, L. (Lu), Ferrucci, L. (Luigi), Orho-Melander, M. (Marju), Zillikens, M.C. (Carola), Ingelsson, E. (Erik), Lehtimäki, T. (Terho), Renström, F. (Frida), Cupples, L.A. (Adrienne), Loos, R.J.F. (Ruth), and Franks, P.W. (Paul)

Abstract

Obesity is highly heritable. Genetic variants showing robust associations with obesity traits have been identified through genome-wide association studies. We investigated whether a composite score representing healthy diet modifies associations of these variants with obesity traits. Totally, 32 body mass index (BMI)- and 14 waist-hip ratio (WHR)-associated single nucleotide polymorphisms were genotyped, and genetic risk scores (GRS) were calculated in 18 cohorts of European ancestry (n = 68 317). Diet score was calculated based on self-reported intakes of whole grains, fish, fruits, vegetables, nuts/seeds (favorable) and red/processed meats, sweets, sugar-sweetened beverages and fried potatoes (unfavorable). Multivariable adjusted, linear regression within each cohort followed by inverse variance-weighted, fixed-effects meta-analysis was used to characterize: (a) associations of each GRS

Published
2015
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4. Common variation in fatty acid metabolic genes and risk of incident sudden cardiac arrest

Author

Lemaitre, R.N. (Rozenn ), Johnson, C.O. (Catherine), Hesselson, S. (Stephanie), Sotoodhenia, N. (Nona), McKnight, B. (Barbara), Sitlani, C.M. (Colleen), Rea, D. (Dan), King, I.B. (Irena), Kwok, P.-Y. (Pui-Yan), Mak, A. (Angel), Li, G. (Guo), Brody, J.A. (Jennifer A.), Larson, E.B. (Eric), Mozaffarian, D. (Dariush), Psaty, B.M. (Bruce), Huertas-Vazquez, A. (Adriana), Tardif, J.-C. (Jean-Claude), Albert, C.M. (Christine), Lyytikäinen, L.-P. (Leo-Pekka), Arking, D.E. (Dan), Kääb, S. (Stefan), Huikuri, H.V. (Heikki), Krijthe, B.P. (Bouwe), Eijgelsheim, M. (Mark), Wang, Y.A. (Ying), Reinier, K. (Kyndaron), Lehtimäki, T. (Terho), Pulit, S.L. (Sara), Brugada, R. (Ramon), Müller-Nurasyid, M. (Martina), Newton-Cheh, C. (Christopher), Karhunen, P.J. (Pekka), Stricker, B.H.Ch. (Bruno), Goyette, P. (Philippe), Rotter, J.I. (Jerome), Chugh, S.S. (Sumeet), Chakravarti, A. (Aravinda), Jouven, X. (Xavier), Siscovick, D.S. (David), Lemaitre, R.N. (Rozenn ), Johnson, C.O. (Catherine), Hesselson, S. (Stephanie), Sotoodhenia, N. (Nona), McKnight, B. (Barbara), Sitlani, C.M. (Colleen), Rea, D. (Dan), King, I.B. (Irena), Kwok, P.-Y. (Pui-Yan), Mak, A. (Angel), Li, G. (Guo), Brody, J.A. (Jennifer A.), Larson, E.B. (Eric), Mozaffarian, D. (Dariush), Psaty, B.M. (Bruce), Huertas-Vazquez, A. (Adriana), Tardif, J.-C. (Jean-Claude), Albert, C.M. (Christine), Lyytikäinen, L.-P. (Leo-Pekka), Arking, D.E. (Dan), Kääb, S. (Stefan), Huikuri, H.V. (Heikki), Krijthe, B.P. (Bouwe), Eijgelsheim, M. (Mark), Wang, Y.A. (Ying), Reinier, K. (Kyndaron), Lehtimäki, T. (Terho), Pulit, S.L. (Sara), Brugada, R. (Ramon), Müller-Nurasyid, M. (Martina), Newton-Cheh, C. (Christopher), Karhunen, P.J. (Pekka), Stricker, B.H.Ch. (Bruno), Goyette, P. (Philippe), Rotter, J.I. (Jerome), Chugh, S.S. (Sumeet), Chakravarti, A. (Aravinda), Jouven, X. (Xavier), and Siscovick, D.S. (David)

Abstract

Background There is limited information on genetic factors associated with sudden cardiac arrest (SCA). Objective To assess the association of common variation in genes in fatty acid pathways with SCA risk. Methods We selected 85 candidate genes and 1155 single nucleotide polymorphisms (SNPs) tagging common variation in each gene. We investigated the SNP associations with SCA in a population-based case-control study. Cases (n = 2160) were from a repository of SCA in the greater Seattle area. Controls (n = 2615), frequency-matched on age and sex, were from the same area. We used linear logistic regression to examine SNP associations with SCA. We performed permutation-based p-min tests to account for multiple comparisons within each gene. The SNP associations with a corrected P value of <.05 were then examined in a meta-analysis of these SNP associations in 9 replication studies totaling 2129 SCA cases and 23,833 noncases. Results Eight SNPs in or near 8 genes were associated with SCA risk in the discovery study, one of which was nominally significant in the replication phase (rs7737692, minor allele frequency 36%, near the LPCAT1 gene). For each copy of the minor allele, rs7737692 was associated with 13% lower SCA risk (95% confidence interval -21% to -5%) in the discovery phase and 9% lo

Published
2014
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