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2. Causal relationship between obesity and vitamin D status: bi-directional Mendelian randomization analysis of multiple cohorts
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Benjamin Voight, Guillaume Pare, Ruth Loos, Michael Preuss, Åsa Johansson, Eco De Geus, Michael Weedon, Marjo-Riitta Jarvelin, Joyce Van Meurs, Torben Jørgensen, Kirsi Pietiläinen, Nicole Glazer, Mattias Lorentzon, Braxton Mitchell, Nicole Soranzo, Patricia Munroe, Ozren Polasek, Elisabeth Thiering, Marika Kaakinen, Carla Vogel, Jennie Hui, Elina Hypponen, ROBERTO ELOSUA, Amanda Bennett, Michael Stumvoll, Andrew Hattersley, Peter P Pramstaller, Lambertus Kiemeney, Sophie Visvikis-Siest, Vilmundur Gudnason, John Whittaker, Aroon Hingorani, Thor Aspelund, Dale Nyholt, Mary Feitosa, Vimal Karani, Mika Kähönen, Lachlan Coin, Malcolm Dunlop, Josee Dupuis, Terho Lehtimäki, Peter Visscher, Katja Aben, Daniel Witte, Cyrus Cooper, Stefan Pilz, Willem Ouwehand, Eleanor Wheeler, Peter Kovacs, Debbie A Lawlor, Kevin Jacobs, Evropi Theodoratou, Hana Lango Allen, Rosanda Mulic, Rui Li, Stephen Kritchevsky, Philippe Froguel, Soumya Raychaudhuri, Cornelia Van Duijn, Andrew Wood, Chiara Lanzani, Tonu Esko, Sadaf Farooqi, Reedik Mägi, Gerard Waeber, Claes Ohlsson, André Scherag, Marcus Kleber, Thomas Meitinger, Lina Zgaga, Denise Houston, Karl Michaëlsson, Robert Weyant, Thomas Wang, Paul Elliott, Robert Luben, Albert Vernon Smith, MANUELA UDA, Gonneke Willemsen, Mark McCarthy, Cecilia Lindgren, Olle Melander, Igor Rudan, Maris Teder-Laving, Liesbeth Vandenput, Vimaleswaran, K, Berry, Dj, Lu, C, Tikkanen, E, Pilz, S, Hiraki, Lt, Cooper, Jd, Dastani, Z, Li, R, Houston, Dk, Wood, Ar, Michaëlsson, K, Vandenput, L, Zgaga, L, YERGES ARMSTRONG, Lm, Mccarthy, Mi, Dupuis, J, Kaakinen, M, Kleber, Me, Jameson, K, Arden, N, Raitakari, O, Viikari, J, Lohman, Kk, Ferrucci, L, Melhus, H, Ingelsson, E, Byberg, L, Lind, L, Lorentzon, M, Salomaa, V, Campbell, H, Dunlop, M, Mitchell, Bd, Herzig, Kh, Pouta, A, Hartikainen, Al, Manunta, Paolo, Streeten, Ea, Theodoratou, E, Jula, A, Wareham, Nj, Ohlsson, C, Frayling, Tm, Kritchevsky, Sb, Spector, Td, Richards, Jb, Lehtimäki, T, Ouwehand, Wh, Kraft, P, Cooper, C, März, W, Power, C, Loos, Rj, Wang, Tj, Järvelin, Mr, Whittaker, Jc, Hingorani, Ad, Hyppönen, E., Council, Medical Research, Biological Psychology, EMGO+ - Lifestyle, Overweight and Diabetes, Institute for Molecular Medicine Finland, Haartman Institute (-2014), Transplantation Laboratory, Vimaleswaran, Karani S, Berry, Diane J, Lu, Chen, Tikkanen, Emmi, Hyppönen, Elina, Genetic Investigation of Anthropometric Traits (GIANT) Consortium, Hinney, Anke (Beitragende*r), Scherag, Susann (Beitragende*r), Hebebrand, Johannes (Beitragende*r), Epidemiology and Data Science, Psychiatry, EMGO - Lifestyle, overweight and diabetes, Genetic Investigation of Anthropometric Traits-GIANT Consortium, Speliotes, E.K., Willer, C.J., Berndt, S.I., Monda, K.L., Thorleifsson, G., Jackson, A.U., Allen, H.L., Lindgren, C.M., Jian'an, L., Mägi, R., Randall, J.C., Vedantam, S., Winkler, T.W., Qi, L., Workalemahu, T., Heid, I.M., Steinthorsdottir, V., Stringham, H.M., Weedon, M.N., Wheeler, E., Wood, A.R., Ferreira, T., Weyant, R.J., Segrè, A.V., Estrada, K., Liang, L., Nemesh, J., Park, J.H., Gustafsson, S., Kilpeläinen, T.O., Yang, J., Bouatia-Naji, N., Tõnu, E., Feitosa, M.F., Kutalik, Z., Mangino, M., Raychaudhuri, S., Scherag, A., Smith, A.V., Welch, R., Zhao, J.H., Aben, K.K., Absher, D.M., Amin, N., Dixon, A.L., Fisher, E., Glazer, N.L., Goddard, M.E., Heard-Costa, N.L., Hoesel, V., Hottenga, J.J., Johansson, Å., Johnson, T., Ketkar, S., Lamina, C., Li, S., Moffatt, M.F., Myers, R.H., Narisu, N., Perry, J.R., Peters, M.J., Preuss, M., Ripatti, S., Rivadeneira, F., Sandholt, C., Scott, L.J., Timpson, N.J., Tyrer, J.P., van Wingerden, S., Watanabe, R.M., White, C.C., Wiklund, F., Barlassina, C., Chasman, D.I., Cooper, M.N., Jansson, J.O., Lawrence, R.W., Pellikka, N., Prokopenko, I., Shi, J., Thiering, E., Alavere, H., Alibrandi, M.T., Almgren, P., Arnold, A.M., Aspelund, T., Atwood, L.D., Balkau, B., Balmforth, A.J., Bennett, A.J., Ben-Shlomo, Y., Bergman, R.N., Bergmann, S., Biebermann, H., Blakemore, A.I., Boes, T., Bonnycastle, L.L., Bornstein, S.R., Brown, M.J., Buchanan, T.A., Busonero, F., Campbell, H., Cappuccio, F.P., Cavalcanti-Proença, C., Chen, Y.D., Chen, C.M., Chines, P.S., Clarke, R., Coin, L., Connell, J., Day, I.N., Heijer, M., Duan, J., Ebrahim, S., Elliott, P., Elosua, R., Eiriksdottir, G., Erdos, M.R., Eriksson, J.G., Facheris, M.F., Felix, S.B., Fischer-Posovszky, P., Folsom, A.R., Friedrich, N., Freimer, N.B., Fu, M., Gaget, S., Gejman, P.V., Geus, E.J., Gieger, C., Gjesing, A.P., Goel, A., Goyette, P., Grallert, H., Gräßler, J., Greenawalt, D.M., Groves, C.J., Gudnason, V., Guiducci, C., Hartikainen, A.L., Hassanali, N., Hall, A.S., Havulinna, A.S., Hayward, C., Heath, A.C., Hengstenberg, C., Hicks, A.A., Hinney, A., Hofman, A., Homuth, G., Hui, J., Igl, W., Iribarren, C., Isomaa, B., Jacobs, K.B., Jarick, I., Jewell, E., John, U., Jørgensen, T., Jousilahti, P., Jula, A., Kaakinen, M., Kajantie, E., Kaplan, L.M., Kathiresan, S., Kettunen, J., Kinnunen, L., Knowles, J.W., Kolcic, I., König, I.R., Koskinen, S., Kovacs, P., Kuusisto, J., Kraft, P., Kvaløy, K., Laitinen, J., Lantieri, O., Lanzani, C., Launer, L.J., Lecoeur, C., Lehtimäki, T., Lettre, G., Liu, J., Lokki, M.L., Lorentzon, M., Luben, R.N., Ludwig, B., Manunta, P., Marek, D., Marre, M., Martin, N.G., McArdle, W.L., McCarthy, A., McKnight, B., Meitinger, T., Melander, O., Meyre, D., Midthjell, K., Montgomery, G.W., Morken, M.A., Morris, A.P., Mulic, R., Ngwa, J.S., Nelis, M., Neville, M.J., Nyholt, D.R., O'Donnell, C.J., O'Rahilly, S., Ong, K.K., Oostra, B., Paré, G., Parker, A.N., Perola, M., Pichler, I., Pietiläinen, K.H., Platou, C.G., Polasek, O., Pouta, A., Rafelt, S., Raitakari, O., Rayner, N.W., Ridderstråle, M., Rief, W., Ruokonen, A., Robertson, N.R., Rzehak, P., Salomaa, V., Sanders, A.R., Sandhu, M.S., Sanna, S., Saramies, J., Savolainen, M.J., Scherag, S., Schipf, S., Schreiber, S., Schunkert, H., Silander, K., Sinisalo, J., Siscovick, D.S., Smit, J.H., Soranzo, N., Sovio, U., Stephens, J., Surakka, I., Swift, AJ., Tammesoo, M.L., Tardif, J.C., Teder-Laving, M., Teslovich, T.M., Thompson, J.R., Thomson, B., Tönjes, A., Tuomi, T., van Meurs, J.B., van Ommen, G.J., Vatin, V., Viikari, J., Visvikis-Siest, S., Vitart, V., Vogel, C.I., Voight, B.F., Waite, L.L., Wallaschofski, H., Walters, G.B., Widen, E., Wiegand, S., Wild, S.H., Willemsen, G., Witte, D.R., Witteman, J.C., Xu, J., Zhang, Q., Zgaga, L., Ziegler, A., Zitting, P., Beilby, J.P., Farooqi, I.S., Hebebrand, J., Huikuri, H.V., James, AL., Kähönen, M., Levinson, D.F., Macciardi, F., Nieminen, M.S., Ohlsson, C., Palmer, L.J., Ridker, P.M., Stumvoll, M., Beckmann, J.S., Boeing, H., Boerwinkle, E., Boomsma, D.I., Caulfield, M.J., Chanock, S.J., Collins, F.S., Cupples, L.A., Smith, G.D., Erdmann, J., Froguel, P., Grönberg, H., Gyllensten, U., Hall, P., Hansen, T., Harris, T.B., Hattersley, A.T., Hayes, R.B., Heinrich, J., Hu, F.B., Hveem, K., Illig, T., Jarvelin, M.R., Kaprio, J., Karpe, F., Khaw, K.T., Kiemeney, L.A., Krude, H., Laakso, M., Lawlor, D.A., Metspalu, A., Munroe, P.B., Ouwehand, W.H., Pedersen, O., Penninx, B.W., Peters, A., Pramstaller, P.P., Quertermous, T., Reinehr, T., Rissanen, A., Rudan, I., Samani, N.J., Schwarz, P.E., Shuldiner, A.R., Spector, T.D., Tuomilehto, J., Uda, M., Uitterlinden, A., Valle, T.T., Wabitsch, M., Waeber, G., Wareham, N.J., Watkins, H., Wilson, J.F., Wright, A.F., Zillikens, M.C., Chatterjee, N., McCarroll, S.A., Purcell, S., Schadt, E.E., Visscher, P.M., Assimes, T.L., Borecki, I.B., Deloukas, P., Fox, C.S., Groop, L.C., Haritunians, T., Hunter, D.J., Kaplan, R.C., Mohlke, K.L., O'Connell, J.R., Peltonen, L., Schlessinger, D., Strachan, D.P., van Duijn, C.M., Wichmann, H.E., Frayling, T.M., Thorsteinsdottir, U., Abecasis, G.R., Barroso, I., Boehnke, M., Stefansson, K., North, K.E., McCarthy, M.I., Hirschhorn, J.N., Ingelsson, E., Loos, R.J., Medical Research Council (MRC), and National Institute for 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Male ,Netherlands Twin Register (NTR) ,Medicin och hälsovetenskap ,obesity ,25-HYDROXYVITAMIN D ,D INSUFFICIENCY ,Epidemiology ,Medizin ,vitamin D ,Aetiology, screening and detection [ONCOL 5] ,Medical and Health Sciences ,Gastroenterology ,Body Mass Index ,chemistry.chemical_compound ,0302 clinical medicine ,Risk Factors ,GENETIC-VARIANTS ,Medicine ,030212 general & internal medicine ,Vitamin D ,2. Zero hunger ,Genetics ,Aged, 80 and over ,Evidence-Based Medicine ,Confounding ,11 Medical And Health Sciences ,General Medicine ,Middle Aged ,3. Good health ,PREVALENCE ,Europe ,Phenotype ,Genetic Epidemiology ,Biological Markers ,Female ,Life Sciences & Biomedicine ,Research Article ,Vitamin ,Adult ,medicine.medical_specialty ,vitamin D deficiency ,genetic variants ,Genetic Investigation of Anthropometric Traits-GIANT Consortium ,European Continental Ancestry Group ,030209 endocrinology & metabolism ,Single-nucleotide polymorphism ,body mass index ,Polymorphism, Single Nucleotide ,Risk Assessment ,White People ,COMMON OBESITY ,03 medical and health sciences ,D DEFICIENCY ,Medicine, General & Internal ,SDG 3 - Good Health and Well-being ,General & Internal Medicine ,Internal medicine ,Mendelian randomization ,Vitamin D and neurology ,INSTRUMENTAL VARIABLES ,Humans ,Genetic Predisposition to Disease ,Obesity ,GENOME-WIDE ASSOCIATION ,Biology ,Molecular epidemiology Aetiology, screening and detection [NCEBP 1] ,Aged ,Science & Technology ,Population Biology ,business.industry ,CARDIOVASCULAR-DISEASE RISK ,ta3121 ,Mendelian Randomization Analysis ,medicine.disease ,Vitamin D Deficiency ,BODY-MASS INDEX ,chemistry ,Genetic epidemiology ,3121 General medicine, internal medicine and other clinical medicine ,Multivariate Analysis ,North America ,Genetic Polymorphism ,Linear Models ,business ,Body mass index ,Population Genetics ,Biomarkers - Abstract
A mendelian randomization study based on data from multiple cohorts conducted by Karani Santhanakrishnan Vimaleswaran and colleagues re-examines the causal nature of the relationship between vitamin D levels and obesity., Background Obesity is associated with vitamin D deficiency, and both are areas of active public health concern. We explored the causality and direction of the relationship between body mass index (BMI) and 25-hydroxyvitamin D [25(OH)D] using genetic markers as instrumental variables (IVs) in bi-directional Mendelian randomization (MR) analysis. Methods and Findings We used information from 21 adult cohorts (up to 42,024 participants) with 12 BMI-related SNPs (combined in an allelic score) to produce an instrument for BMI and four SNPs associated with 25(OH)D (combined in two allelic scores, separately for genes encoding its synthesis or metabolism) as an instrument for vitamin D. Regression estimates for the IVs (allele scores) were generated within-study and pooled by meta-analysis to generate summary effects. Associations between vitamin D scores and BMI were confirmed in the Genetic Investigation of Anthropometric Traits (GIANT) consortium (n = 123,864). Each 1 kg/m2 higher BMI was associated with 1.15% lower 25(OH)D (p = 6.52×10−27). The BMI allele score was associated both with BMI (p = 6.30×10−62) and 25(OH)D (−0.06% [95% CI −0.10 to −0.02], p = 0.004) in the cohorts that underwent meta-analysis. The two vitamin D allele scores were strongly associated with 25(OH)D (p≤8.07×10−57 for both scores) but not with BMI (synthesis score, p = 0.88; metabolism score, p = 0.08) in the meta-analysis. A 10% higher genetically instrumented BMI was associated with 4.2% lower 25(OH)D concentrations (IV ratio: −4.2 [95% CI −7.1 to −1.3], p = 0.005). No association was seen for genetically instrumented 25(OH)D with BMI, a finding that was confirmed using data from the GIANT consortium (p≥0.57 for both vitamin D scores). Conclusions On the basis of a bi-directional genetic approach that limits confounding, our study suggests that a higher BMI leads to lower 25(OH)D, while any effects of lower 25(OH)D increasing BMI are likely to be small. Population level interventions to reduce BMI are expected to decrease the prevalence of vitamin D deficiency. Please see later in the article for the Editors' Summary, Editors' Summary Background Obesity—having an unhealthy amount of body fat—is increasing worldwide. In the US, for example, a third of the adult population is now obese. Obesity is defined as having a body mass index (BMI, an indicator of body fat calculated by dividing a person's weight in kilograms by their height in meters squared) of more than 30.0 kg/m2. Although there is a genetic contribution to obesity, people generally become obese by consuming food and drink that contains more energy than they need for their daily activities. Thus, obesity can be prevented by having a healthy diet and exercising regularly. Compared to people with a healthy weight, obese individuals have an increased risk of developing diabetes, heart disease and stroke, and tend to die younger. They also have a higher risk of vitamin D deficiency, another increasingly common public health concern. Vitamin D, which is essential for healthy bones as well as other functions, is made in the skin after exposure to sunlight but can also be obtained through the diet and through supplements. Why Was This Study Done? Observational studies cannot prove that obesity causes vitamin D deficiency because obese individuals may share other characteristics that reduce their circulating 25-hydroxy vitamin D [25(OH)D] levels (referred to as confounding). Moreover, observational studies cannot indicate whether the larger vitamin D storage capacity of obese individuals (vitamin D is stored in fatty tissues) lowers their 25(OH)D levels or whether 25(OH)D levels influence fat accumulation (reverse causation). If obesity causes vitamin D deficiency, monitoring and treating vitamin D deficiency might alleviate some of the adverse health effects of obesity. Conversely, if low vitamin D levels cause obesity, encouraging people to take vitamin D supplements might help to control the obesity epidemic. Here, the researchers use bi-directional “Mendelian randomization” to examine the direction and causality of the relationship between BMI and 25(OH)D. In Mendelian randomization, causality is inferred from associations between genetic variants that mimic the influence of a modifiable environmental exposure and the outcome of interest. Because gene variants do not change over time and are inherited randomly, they are not prone to confounding and are free from reverse causation. Thus, if a lower vitamin D status leads to obesity, genetic variants associated with lower 25(OH)D concentrations should be associated with higher BMI, and if obesity leads to a lower vitamin D status, then genetic variants associated with higher BMI should be associated with lower 25(OH)D concentrations. What Did the Researchers Do and Find? The researchers created a “BMI allele score” based on 12 BMI-related gene variants and two “25(OH)D allele scores,” which are based on gene variants that affect either 25(OH)D synthesis or breakdown. Using information on up to 42,024 participants from 21 studies, the researchers showed that the BMI allele score was associated with both BMI and with 25(OH)D levels among the study participants. Based on this information, they calculated that each 10% increase in BMI will lead to a 4.2% decrease in 25(OH)D concentrations. By contrast, although both 25(OH)D allele scores were strongly associated with 25(OH)D levels, neither score was associated with BMI. This lack of an association between 25(OH)D allele scores and obesity was confirmed using data from more than 100,000 individuals involved in 46 studies that has been collected by the GIANT (Genetic Investigation of Anthropometric Traits) consortium. What Do These Findings Mean? These findings suggest that a higher BMI leads to a lower vitamin D status whereas any effects of low vitamin D status on BMI are likely to be small. That is, these findings provide evidence for obesity as a causal factor in the development of vitamin D deficiency but not for vitamin D deficiency as a causal factor in the development of obesity. These findings suggest that population-level interventions to reduce obesity should lead to a reduction in the prevalence of vitamin D deficiency and highlight the importance of monitoring and treating vitamin D deficiency as a means of alleviating the adverse influences of obesity on health. Additional Information Please access these Web sites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001383. The US Centers for Disease Control and Prevention provides information on all aspects of overweight and obesity (in English and Spanish); a data brief provides information about the vitamin D status of the US population The World Health Organization provides information on obesity (in several languages) The UK National Health Service Choices website provides detailed information about obesity and a link to a personal story about losing weight; it also provides information about vitamin D The International Obesity Taskforce provides information about the global obesity epidemic The US Department of Agriculture's ChooseMyPlate.gov website provides a personal healthy eating plan; the Weight-control Information Network is an information service provided for the general public and health professionals by the US National Institute of Diabetes and Digestive and Kidney Diseases (in English and Spanish) The US Office of Dietary Supplements provides information about vitamin D (in English and Spanish) MedlinePlus has links to further information about obesity and about vitamin D (in English and Spanish) Wikipedia has a page on Mendelian randomization (note: Wikipedia is a free online encyclopedia that anyone can edit; available in several languages) Overview and details of the collaborative large-scale genetic association study (D-CarDia) provide information about vitamin D and the risk of cardiovascular disease, diabetes and related traits
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- 2013
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