Aline Jelenkovic1, Leonie H Bogl2, Richard J Rose3, Antti J Kangas4, Pasi Soininen5, Mika Ala-Korpela6, Jaakko Kaprio7, Karri Silventoinen8. 1. Department of Genetics, Physical Anthropology and Animal Physiology, University of the Basque Country UPV/EHU, Leioa 48940, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao 48011, Spain; Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki 00014, Finland. Electronic address: aline.jelenkovic@helsinki.fi. 2. Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki 00014, Finland. 3. Department of Psychological and Brain Sciences, Indiana University, Bloomington 47405, USA. 4. Computational Medicine, Institute of Health Sciences, Faculty of Medicine, University of Oulu, 90014, Finland. 5. Computational Medicine, Institute of Health Sciences, Faculty of Medicine, University of Oulu, 90014, Finland; NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio 70211, Finland. 6. Computational Medicine, Institute of Health Sciences, Faculty of Medicine, University of Oulu, 90014, Finland; NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio 70211, Finland; Oulu University Hospital, Oulu, Finland; Computational Medicine, School of Social and Community Medicine and the Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK. 7. Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki 00014, Finland; Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki 00271, Finland; Institute for Molecular Medicine FIMM, Helsinki 00014, Finland. 8. Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki 00014, Finland; Population Research Unit, Department of Social Research, University of Helsinki, Helsinki 00014, Finland.
Abstract
OBJECTIVE: Little is known about the associations of serum fatty acids with lipoprotein profile and the underlying genetic and environmental etiology of these relationships. We aimed to analyze the phenotypic association of serum n-6 and n-3 polyunsaturated (PUFAs), monounsaturated (MUFAs) and saturated (SFAs) fatty acids (relative proportion to total fatty acids) with lipids and lipoproteins, and to quantify common genetic and environmental factors determining their covariation. METHODS: Two cohorts of healthy Finnish twins were assessed in young adulthood. Data were available for 1269 individual twins including 561 complete pairs. Serum metabolites were measured by nuclear magnetic resonance spectroscopy. Bivariate quantitative genetic models were used to decompose the phenotypic covariance between the pairs of traits into genetic and environmental components. RESULTS: Among the strongest correlations observed, serum total n-6 PUFAs and linoleic acid were inversely (max. r=-0.65) and MUFAs positively (max. r=0.63) correlated with triglycerides and very low-density lipoprotein (VLDL) particle concentration, particularly with large VLDL (for n-6 PUFAs) and medium VLDL (for MUFAs). Genetic factors significantly contributed to their covariance with bivariate heritability estimates ranging from 44% to 56% for n-6 PUFAs and 58% to 66% for MUFAs. Genetic correlations with lipid traits were moderate to high (max. rA=-0.59 and 0.70 for n-6 PUFAs and MUFAs, respectively). Statistically significant, but substantially weaker phenotypic correlations of total n-3 PUFAs, docosahexaenoic acid (DHA) and SFAs with lipoprotein profile were not decomposed into their genetic and environmental components. CONCLUSION: Shared genetic factors are important in explaining why higher concentrations of serum n-6 PUFAs and lower concentrations of serum MUFAs strongly associate with lower triglyceride and VLDL particle concentrations.
OBJECTIVE: Little is known about the associations of serum fatty acids with lipoprotein profile and the underlying genetic and environmental etiology of these relationships. We aimed to analyze the phenotypic association of serum n-6 and n-3 polyunsaturated (PUFAs), monounsaturated (MUFAs) and saturated (SFAs) fatty acids (relative proportion to total fatty acids) with lipids and lipoproteins, and to quantify common genetic and environmental factors determining their covariation. METHODS: Two cohorts of healthy Finnish twins were assessed in young adulthood. Data were available for 1269 individual twins including 561 complete pairs. Serum metabolites were measured by nuclear magnetic resonance spectroscopy. Bivariate quantitative genetic models were used to decompose the phenotypic covariance between the pairs of traits into genetic and environmental components. RESULTS: Among the strongest correlations observed, serum total n-6 PUFAs and linoleic acid were inversely (max. r=-0.65) and MUFAs positively (max. r=0.63) correlated with triglycerides and very low-density lipoprotein (VLDL) particle concentration, particularly with large VLDL (for n-6 PUFAs) and medium VLDL (for MUFAs). Genetic factors significantly contributed to their covariance with bivariate heritability estimates ranging from 44% to 56% for n-6 PUFAs and 58% to 66% for MUFAs. Genetic correlations with lipid traits were moderate to high (max. rA=-0.59 and 0.70 for n-6 PUFAs and MUFAs, respectively). Statistically significant, but substantially weaker phenotypic correlations of total n-3 PUFAs, docosahexaenoic acid (DHA) and SFAs with lipoprotein profile were not decomposed into their genetic and environmental components. CONCLUSION: Shared genetic factors are important in explaining why higher concentrations of serum n-6 PUFAs and lower concentrations of serum MUFAs strongly associate with lower triglyceride and VLDL particle concentrations.
Authors: William S Harris; Dariush Mozaffarian; Eric Rimm; Penny Kris-Etherton; Lawrence L Rudel; Lawrence J Appel; Marguerite M Engler; Mary B Engler; Frank Sacks Journal: Circulation Date: 2009-01-26 Impact factor: 29.690
Authors: Jina Choo; Hirotsugu Ueshima; J David Curb; Chol Shin; Rhobert W Evans; Aiman El-Saed; Takashi Kadowaki; Tomonori Okamura; Katsumi Nakata; Teruo Otake; Katsuyuki Miura; Robert D Abbott; Kim Sutton-Tyrrell; Daniel Edmundowicz; Lewis H Kuller; Akira Sekikawa Journal: Am J Clin Nutr Date: 2010-03-31 Impact factor: 7.045
Authors: Ann C Skulas-Ray; Penny M Kris-Etherton; William S Harris; John P Vanden Heuvel; Paul R Wagner; Sheila G West Journal: Am J Clin Nutr Date: 2010-12-15 Impact factor: 7.045
Authors: Angela A Rivellese; Lidia Patti; David Kaufman; Jianhui Zhu; Giovanni Annuzzi; Olga Vaccaro; Sven O Ebbesson; Wm James Howard; Gabriele Riccardi; Barbara V Howard Journal: Atherosclerosis Date: 2008-04-18 Impact factor: 5.162
Authors: John C Chambers; Weihua Zhang; Joban Sehmi; Xinzhong Li; Mark N Wass; Pim Van der Harst; Hilma Holm; Serena Sanna; Maryam Kavousi; Sebastian E Baumeister; Lachlan J Coin; Guohong Deng; Christian Gieger; Nancy L Heard-Costa; Jouke-Jan Hottenga; Brigitte Kühnel; Vinod Kumar; Vasiliki Lagou; Liming Liang; Jian'an Luan; Pedro Marques Vidal; Irene Mateo Leach; Paul F O'Reilly; John F Peden; Nilufer Rahmioglu; Pasi Soininen; Elizabeth K Speliotes; Xin Yuan; Gudmar Thorleifsson; Behrooz Z Alizadeh; Larry D Atwood; Ingrid B Borecki; Morris J Brown; Pimphen Charoen; Francesco Cucca; Debashish Das; Eco J C de Geus; Anna L Dixon; Angela Döring; Georg Ehret; Gudmundur I Eyjolfsson; Martin Farrall; Nita G Forouhi; Nele Friedrich; Wolfram Goessling; Daniel F Gudbjartsson; Tamara B Harris; Anna-Liisa Hartikainen; Simon Heath; Gideon M Hirschfield; Albert Hofman; Georg Homuth; Elina Hyppönen; Harry L A Janssen; Toby Johnson; Antti J Kangas; Ido P Kema; Jens P Kühn; Sandra Lai; Mark Lathrop; Markus M Lerch; Yun Li; T Jake Liang; Jing-Ping Lin; Ruth J F Loos; Nicholas G Martin; Miriam F Moffatt; Grant W Montgomery; Patricia B Munroe; Kiran Musunuru; Yusuke Nakamura; Christopher J O'Donnell; Isleifur Olafsson; Brenda W Penninx; Anneli Pouta; Bram P Prins; Inga Prokopenko; Ralf Puls; Aimo Ruokonen; Markku J Savolainen; David Schlessinger; Jeoffrey N L Schouten; Udo Seedorf; Srijita Sen-Chowdhry; Katherine A Siminovitch; Johannes H Smit; Timothy D Spector; Wenting Tan; Tanya M Teslovich; Taru Tukiainen; Andre G Uitterlinden; Melanie M Van der Klauw; Ramachandran S Vasan; Chris Wallace; Henri Wallaschofski; H-Erich Wichmann; Gonneke Willemsen; Peter Würtz; Chun Xu; Laura M Yerges-Armstrong; Goncalo R Abecasis; Kourosh R Ahmadi; Dorret I Boomsma; Mark Caulfield; William O Cookson; Cornelia M van Duijn; Philippe Froguel; Koichi Matsuda; Mark I McCarthy; Christa Meisinger; Vincent Mooser; Kirsi H Pietiläinen; Gunter Schumann; Harold Snieder; Michael J E Sternberg; Ronald P Stolk; Howard C Thomas; Unnur Thorsteinsdottir; Manuela Uda; Gérard Waeber; Nicholas J Wareham; Dawn M Waterworth; Hugh Watkins; John B Whitfield; Jacqueline C M Witteman; Bruce H R Wolffenbuttel; Caroline S Fox; Mika Ala-Korpela; Kari Stefansson; Peter Vollenweider; Henry Völzke; Eric E Schadt; James Scott; Marjo-Riitta Järvelin; Paul Elliott; Jaspal S Kooner Journal: Nat Genet Date: 2011-10-16 Impact factor: 38.330
Authors: Elizabeth A Scoville; Margaret M Allaman; Dawn W Adams; Amy K Motley; Shannon C Peyton; Sarah L Ferguson; Sara N Horst; Christopher S Williams; Dawn B Beaulieu; David A Schwartz; Keith T Wilson; Lori A Coburn Journal: Sci Rep Date: 2019-02-27 Impact factor: 4.379
Authors: Richard J Rose; Jessica E Salvatore; Sari Aaltonen; Peter B Barr; Leonie H Bogl; Holly A Byers; Kauko Heikkilä; Tellervo Korhonen; Antti Latvala; Teemu Palviainen; Anu Ranjit; Alyce M Whipp; Lea Pulkkinen; Danielle M Dick; Jaakko Kaprio Journal: Twin Res Hum Genet Date: 2019-10-23 Impact factor: 1.587
Authors: Oscar Coltell; Jose V Sorlí; Eva M Asensio; Rocío Barragán; José I González; Ignacio M Giménez-Alba; Vicente Zanón-Moreno; Ramon Estruch; Judith B Ramírez-Sabio; Eva C Pascual; Carolina Ortega-Azorín; Jose M Ordovas; Dolores Corella Journal: Nutrients Date: 2020-01-24 Impact factor: 5.717