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A Meta-Analysis of Genome-Wide Association Studies of Growth Differentiation Factor-15 Concentration in Blood

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A Meta-Analysis of Genome-Wide Association Studies of Growth Differentiation Factor-15 Concentration in Blood fgene-09-00097 March 21, 2018 Time: 17:25 # 1 ORIGINAL RESEARCH published: 23 March 2018 doi: 10.3389/fgene.2018.00097 A Meta-Analysis of Genome-Wide Association Studies of Growth Differentiation Factor-15 Concentration in Blood Jiyang Jiang1†, Anbupalam Thalamuthu1†, Jennifer E. Ho2,3, Anubha Mahajan4, Weronica E. Ek5, David A. Brown6,7, Samuel N. Breit6, Thomas J. Wang8, Ulf Gyllensten5, Edited by: 9,10 5 3 11 William Scott Bush, Ming-Huei Chen , Stefan Enroth , James L. Januzzi Jr. , Lars Lind , 1,12 13,14 13,14 1,15 Case Western Reserve University, Nicola J. Armstrong , John B. Kwok , Peter R. Schofield , Wei Wen , 1,16 5 4,17 18,19 United States Julian N. Trollor , Åsa Johansson , Andrew P. Morris , Ramachandran S. Vasan , Perminder S. Sachdev1,15* and Karen A. Mather1* Reviewed by: Jing Hua Zhao, 1 Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia, University of Cambridge, 2 Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, United States, 3 Cardiology Division, United Kingdom Department of Medicine, Massachusetts General Hospital, Boston, MA, United States, 4 Wellcome Trust Centre for Human Geetha Chittoor, Genetics, University of Oxford, Oxford, United Kingdom, 5 Science for Life Laboratory, Department of Immunology, Genetics Geisinger Health System, and Pathology, Uppsala University, Uppsala, Sweden, 6 St. Vincent’s Centre for Applied Medical Research, St. Vincent’s United States Hospital, Darlinghurst, NSW, Australia, 7 Westmead Institute for Medical Research, The Institute for Clinical Pathology and Brandon Pierce, Medical Research and Westmead Hospital, Westmead, NSW, Australia, 8 Division of Cardiology, Department of Medicine, University of Chicago, United States Vanderbilt University, Nashville, TN, United States, 9 Population Sciences Branch, National Heart, Lung, and Blood Institute, *Correspondence: National Institutes of Health, Framingham, MA, United States, 10 The Framingham Heart Study, Framingham, MA, Karen A. Mather United States, 11 Department of Medical Sciences, Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden, [email protected] 12 Mathematics and Statistics, Murdoch University, Perth, WA, Australia, 13 Neuroscience Research Australia, Randwick, Perminder S. Sachdev NSW, Australia, 14 School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia, 15 Neuropsychiatric [email protected] Institute, Prince of Wales Hospital, Randwick, NSW, Australia, 16 Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia, 17 Department of Biostatistics, University of †These authors have contributed Liverpool, Liverpool, United Kingdom, 18 Sections of Preventive Medicine and Epidemiology and Cardiology, Department of equally to this work. Medicine, Boston University School of Medicine, and Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States, 19 National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Specialty section: Study, Boston University, Boston, MA, United States This article was submitted to Applied Genetic Epidemiology, a section of the journal Blood levels of growth differentiation factor-15 (GDF-15), also known as macrophage Frontiers in Genetics inhibitory cytokine-1 (MIC-1), have been associated with various pathological processes Received: 04 November 2017 Accepted: 08 March 2018 and diseases, including cardiovascular disease and cancer. Prior studies suggest Published: 23 March 2018 genetic factors play a role in regulating blood MIC-1/GDF-15 concentration. In the Citation: current study, we conducted the largest genome-wide association study (GWAS) Jiang J, Thalamuthu A, Ho JE, to date using a sample of ∼5,400 community-based Caucasian participants, to Mahajan A, Ek WE, Brown DA, Breit SN, Wang TJ, Gyllensten U, determine the genetic variants associated with MIC-1/GDF-15 blood concentration. Chen M-H, Enroth S, Januzzi JL Jr, Conditional and joint (COJO), gene-based association, and gene-set enrichment Lind L, Armstrong NJ, Kwok JB, Schofield PR, Wen W, Trollor JN, analyses were also carried out to identify novel loci, genes, and pathways. Consistent Johansson Å, Morris AP, Vasan RS, with prior results, a locus on chromosome 19, which includes nine single nucleotide Sachdev PS and Mather KA (2018) A polymorphisms (SNPs) (top SNP, rs888663, p = 1.690 × 10−35), was significantly Meta-Analysis of Genome-Wide Association Studies of Growth associated with blood MIC-1/GDF-15 concentration, and explained 21.47% of its Differentiation Factor-15 variance. COJO analysis showed evidence for two independent signals within this locus. Concentration in Blood. Front. Genet. 9:97. Gene-based analysis confirmed the chromosome 19 locus association and in addition, doi: 10.3389/fgene.2018.00097 a putative locus on chromosome 1. Gene-set enrichment analyses showed that the Frontiers in Genetics| www.frontiersin.org 1 March 2018| Volume 9| Article 97 fgene-09-00097 March 21, 2018 Time: 17:25 # 2 Jiang et al. GWAS of GDF-15 “COPI-mediated anterograde transport” gene-set was associated with MIC-1/GDF15 blood concentration with marginal significance after FDR correction (p = 0.067). In conclusion, a locus on chromosome 19 was associated with MIC-1/GDF-15 blood concentration with genome-wide significance, with evidence for a new locus (chromosome 1). Future studies using independent cohorts are needed to confirm the observed associations especially for the chromosomes 1 locus, and to further investigate and identify the causal SNPs that contribute to MIC-1/GDF-15 levels. Keywords: genome-wide association study, growth differentiation factor-15, macrophage inhibitory cytokine-1, community-based individuals, chromosome 19 INTRODUCTION (Prospective Investigation of the Vasculature in Uppsala Seniors, N = 898). In addition to these two cohorts, the current study Growth differentiation factor-15 (GDF-15), also known as included two additional samples, NSPHS (The Northern Sweden macrophage inhibitory cytokine-1 (MIC-1), is a stress response Population Health Study, N = 939) and the Sydney MAS (Sydney cytokine and a divergent member of the transforming growth Memory and Aging Study, N = 807). Conditional and joint factor-b (TGF-b) superfamily (Bootcov et al., 1997; Breit et al., (COJO), gene-based, and gene-set enrichment analyses were also 2011; Tsai et al., 2016). Studies have shown that the expression of carried out aiming to uncover any new loci associated with MIC-1/GDF-15 in both humans and animals is restricted under MIC-1/GDF-15 blood levels, and to elucidate the functional resting conditions but can be induced in most cells or tissues by relevance of the genetic variants associated with MIC-1/GDF-15 oxidative and nitrosative stress (Unsicker et al., 2013; Wallentin blood concentration. et al., 2014). Animal studies suggest that MIC-1/GDF-15 is anti-inflammatory (Breit et al., 2011) and neuroprotective (Strelau et al., 2000), promotes longevity (Wang et al., 2014a) MATERIALS AND METHODS and neurogenesis (Kim et al., 2015), and inhibits atherosclerosis development (Johnen et al., 2012). In humans, MIC-1/GDF-15 Study Samples circulates in the blood of all individuals with levels of about Framingham Offspring Cohort 200-1200 pg/ml, with the concentration increasing with age The children and their spouses of the original Framingham Heart (Wiklund et al., 2010). Higher MIC-1/GDF-15 blood levels Study participants, known as the Framingham Offspring Cohort have been associated with a variety of diseases and conditions (Kannel et al., 1979), were included in the current study. From including inflammation (Brown et al., 2007), cardiovascular the 3,532 eligible participants, those with missing MIC-1/GDF-15 disease (Brown et al., 2002), various types of cancer [e.g., prostate measurements (n = 82), genotyping data (n = 254), or covariates (Brown et al., 2009), colon (Wallin et al., 2011), melanoma (Boyle (n = 60), as well as individuals with heart failure (n = 38) et al., 2009), pancreas (Wang et al., 2014b)] neurodegeneration and left ventricular (LV) systolic dysfunction as revealed by and cognitive decline (Jiang et al., 2016), and all-cause mortality echocardiography (n = 302), were excluded (see Ho et al., 2012 (Wiklund et al., 2010). for details). Finally, 2796 participants who had both genetic and Genetics plays a role in determining MIC-1/GDF-15 MIC-1/GDF-15 data were included in the current study (Table 1). blood concentration as indicated by its moderate heritability In the Framingham Offspring Cohort, diabetes mellitus (DM) (0.38 – 0.48) estimated from family based (Ho et al., 2012) and was defined as a fasting glucose concentration ≥ 126 mg/dL twin-based (Wiklund et al., 2010) samples. However, so far, there (≥7.0 mmol/L) or the use of insulin or oral hypoglycemic has only been one meta-analysis of genome-wide association medications. Written informed consent was provided by all studies (GWASs) of blood MIC-1/GDF-15 concentration in participants, and the study was approved by the Institutional community-based adults (2 cohorts, total N = 3,694; Ho et al., Review Board, Boston University Medical Center. All analyses 2012), in which Ho et al.(2012) identified an association with described in the current study were conducted in accordance with eight SNPs located in a region on chromosome 19 that includes the approved guidelines and regulations. the MIC-1/GDF15
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