148 results on '"Sandholm, N"'
Search Results
2. Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study
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Smyth, LJ, Kilner, J, Nair, V, Liu, H, Brennan, E, Kerr, K, Sandholm, N, Cole, J, Dahlström, E, Syreeni, A, Salem, RM, Nelson, RG, Looker, HC, Wooster, C, Anderson, K, McKay, GJ, Kee, F, Young, I, Andrews, D, Forsblom, C, Hirschhorn, JN, Godson, C, Groop, PH, Maxwell, AP, Susztak, K, Kretzler, M, Florez, JC, and McKnight, AJ
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Biological Sciences ,Genetics ,Autoimmune Disease ,Diabetes ,Biotechnology ,Kidney Disease ,Human Genome ,Clinical Research ,2.1 Biological and endogenous factors ,Aetiology ,Metabolic and endocrine ,Renal and urogenital ,Good Health and Well Being ,Adult ,DNA Methylation ,Diabetes Mellitus ,Type 1 ,Diabetic Nephropathies ,Epigenesis ,Genetic ,Epigenomics ,Female ,Humans ,Kidney Failure ,Chronic ,Male ,Association ,EPIC ,End-stage ,Kidney ,Methylation ,Nephropathy ,Clinical Sciences ,Paediatrics and Reproductive Medicine - Abstract
BackgroundA subset of individuals with type 1 diabetes mellitus (T1DM) are predisposed to developing diabetic kidney disease (DKD), the most common cause globally of end-stage kidney disease (ESKD). Emerging evidence suggests epigenetic changes in DNA methylation may have a causal role in both T1DM and DKD. The aim of this exploratory investigation was to assess differences in blood-derived DNA methylation patterns between individuals with T1DM-ESKD and individuals with long-duration T1DM but no evidence of kidney disease upon repeated testing to identify potential blood-based biomarkers. Blood-derived DNA from individuals (107 cases, 253 controls and 14 experimental controls) were bisulphite treated before DNA methylation patterns from both groups were generated and analysed using Illumina's Infinium MethylationEPIC BeadChip arrays (n = 862,927 sites). Differentially methylated CpG sites (dmCpGs) were identified (false discovery rate adjusted p ≤ × 10-8 and fold change ± 2) by comparing methylation levels between ESKD cases and T1DM controls at single site resolution. Gene annotation and functionality was investigated to enrich and rank methylated regions associated with ESKD in T1DM.ResultsTop-ranked genes within which several dmCpGs were located and supported by functional data with methylation look-ups in other cohorts include: AFF3, ARID5B, CUX1, ELMO1, FKBP5, HDAC4, ITGAL, LY9, PIM1, RUNX3, SEPTIN9 and UPF3A. Top-ranked enrichment pathways included pathways in cancer, TGF-β signalling and Th17 cell differentiation.ConclusionsEpigenetic alterations provide a dynamic link between an individual's genetic background and their environmental exposures. This robust evaluation of DNA methylation in carefully phenotyped individuals has identified biomarkers associated with ESKD, revealing several genes and implicated key pathways associated with ESKD in individuals with T1DM.
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- 2021
3. Genetic risk factors affecting mitochondrial function are associated with kidney disease in people with Type 1 diabetes.
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Swan, E, Salem, Rany, Sandholm, N, Tarnow, L, Rossing, P, Lajer, M, Groop, P, Maxwell, A, and McKnight, A
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Adult ,Aged ,Case-Control Studies ,Diabetes Mellitus ,Type 1 ,Diabetic Nephropathies ,Female ,Genetic Predisposition to Disease ,Genome ,Mitochondrial ,Humans ,Kidney Failure ,Chronic ,Male ,Middle Aged ,Mitochondria ,Polymorphism ,Single Nucleotide ,Renal Insufficiency ,Chronic - Abstract
AIM: To evaluate the association with diabetic kidney disease of single nucleotide polymorphisms (SNPs) that may contribute to mitochondrial dysfunction. METHODS: The mitochondrial genome and 1039 nuclear genes that are integral to mitochondrial function were investigated using a case (n = 823 individuals with diabetic kidney disease) vs. control (n = 903 individuals with diabetes and no renal disease) approach. All people included in the analysis were of white European origin and were diagnosed with Type 1 diabetes before the age of 31 years. Replication was conducted in 5093 people with similar phenotypes to those of the discovery collection. Association analyses were performed using the plink genetic analysis toolset, with adjustment for relevant covariates. RESULTS: A total of 25 SNPs were evaluated in the mitochondrial genome, but none were significantly associated with diabetic kidney disease or end-stage renal disease. A total of 38 SNPs in nuclear genes influencing mitochondrial function were nominally associated with diabetic kidney disease and 16 SNPS were associated with end-stage renal disease, secondary to diabetic kidney disease, with meta-analyses confirming the same direction of effect. Three independent signals (seven SNPs) were common to the replication data for both phenotypes with Type 1 diabetes and persistent proteinuria or end-stage renal disease. CONCLUSIONS: Our results suggest that SNPs in nuclear genes that influence mitochondrial function are significantly associated with diabetic kidney disease in a white European population.
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- 2015
4. Heme oxygenase-1 polymorphisms associate with ischemic cardiac complications and mortality in type 1 diabetes
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Segersvard, H, primary, Forsblom, C, additional, Sandholm, N, additional, Harjutsalo, V, additional, Kosonen, R, additional, Laine, M, additional, Tikkanen, I, additional, Groop, P H, additional, and Lakkisto, P, additional
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- 2022
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5. VP.69 Natural history of tibial muscular dystrophy
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Kuusinen, V., primary, Savarese, M., additional, Sandholm, N., additional, Hackman, P., additional, and Udd, B., additional
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- 2022
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6. The Genetic Landscape of Renal Complications in Type 1 Diabetes
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Sandholm, Niina, Van Zuydam, Natalie, Ahlqvist, Emma, Juliusdottir, Thorhildur, Deshmukh, Harshal A., Rayner, N. William, Di Camillo, Barbara, Forsblom, Carol, Fadista, Joao, Ziemek, Daniel, Salem, Rany M., Hiraki, Linda T., Pezzolesi, Marcus, Trégouët, David, Dahlström, Emma, Valo, Erkka, Oskolkov, Nikolay, Ladenvall, Claes, Marcovecchio, M. Loredana, Cooper, Jason, Sambo, Francesco, Malovini, Alberto, Manfrini, Marco, McKnight, Amy Jayne, Lajer, Maria, Harjutsalo, Valma, Gordin, Daniel, Parkkonen, Maija, Lyssenko, Valeriya, McKeigue, Paul M., Rich, Stephen S., Brosnan, Mary Julia, Fauman, Eric, Bellazzi, Riccardo, Rossing, Peter, Hadjadj, Samy, Krolewski, Andrzej, Paterson, Andrew D., Hirschhorn, Joel N., Maxwell, Alexander P., Cobelli, Claudio, Colhoun, Helen M., Groop, Leif, McCarthy, Mark I., Groop, Per-Henrik, Sandholm, N., Van Zuydam, N., Ahlqvist, E., Juliusdottir, T., Deshmukh, H.A., Di Camillo, B., Forsblom, C., Fadista, J., Ziemek, D., Salem, R.M., Hiraki, L.T., Pezzolesi, M., Trégouët, D., Dahlström, E., Valo, E., Oskolkov, N., Ladenvall, C., Marcovecchio, M.L., Cooper, J., Sambo, F., Malovini, A., Manfrini, M., McKnight, A. J., Lajer, M., V, Gordin, D., Parkkonen, M., Tuomilehto, J., V, McKeigue, P.M., Rich, S.S., Brosnan, M.J., Fauman, E., Bellazzi, R., Rossing, P., Hadjadj, S., Krolewski, A., Paterson, A.D., Florez, J.C., Hirschhorn, J.N., Maxwell, A.P., Dunger, D., Cobelli, C., Colhoun, H.M., Groop, L., McCarthy, M.I., and Groop, P.-H.
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- 2017
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7. The low-expression variant of FABP4 is associated with cardiovascular disease in type 1 diabetes
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Dahlström, E.H., primary, Saksi, J., additional, Forsblom, C., additional, Uglebjerg, N., additional, Thorn, L., additional, Harjutsalo, V., additional, Rossing, P., additional, Ahluwalia, T.S., additional, Lindsberg, P.J., additional, Sandholm, N., additional, and Groop, P.-H., additional
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- 2021
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8. Genetic Profile of Endotoxemia Reveals an Association With Thromboembolism and Stroke.
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Leskelä, J, Toppila, I, Härma, M-A, Palviainen, T, Salminen, A, Sandholm, N, Pietiäinen, M, Kopra, E, Pais de Barros, J-P, FinnGen, Lassenius, MI, Kumar, A, Harjutsalo, V, Roslund, K, Forsblom, C, Loukola, A, Havulinna, AS, Lagrost, L, Salomaa, V, Groop, P-H, Perola, M, Kaprio, J, Lehto, M, Pussinen, PJ, Leskelä, J, Toppila, I, Härma, M-A, Palviainen, T, Salminen, A, Sandholm, N, Pietiäinen, M, Kopra, E, Pais de Barros, J-P, FinnGen, Lassenius, MI, Kumar, A, Harjutsalo, V, Roslund, K, Forsblom, C, Loukola, A, Havulinna, AS, Lagrost, L, Salomaa, V, Groop, P-H, Perola, M, Kaprio, J, Lehto, M, and Pussinen, PJ
- Abstract
Background Translocation of lipopolysaccharide from gram-negative bacteria into the systemic circulation results in endotoxemia. In addition to acute infections, endotoxemia is detected in cardiometabolic disorders, such as cardiovascular diseases and obesity. Methods and Results We performed a genome-wide association study of serum lipopolysaccharide activity in 11 296 individuals from 6 different Finnish study cohorts. Endotoxemia was measured by limulus amebocyte lysate assay in the whole population and by 2 other techniques (Endolisa and high-performance liquid chromatography/tandem mass spectrometry) in subpopulations. The associations of the composed genetic risk score of endotoxemia and thrombosis-related clinical end points for 195 170 participants were analyzed in FinnGen. Lipopolysaccharide activity had a genome-wide significant association with 741 single-nucleotide polymorphisms in 5 independent loci, which were mainly located at genes affecting the contact activation of the coagulation cascade and lipoprotein metabolism and explained 1.5% to 9.2% of the variability in lipopolysaccharide activity levels. The closest genes included KNG1, KLKB1, F12, SLC34A1, YPEL4, CLP1, ZDHHC5, SERPING1, CBX5, and LIPC. The genetic risk score of endotoxemia was associated with deep vein thrombosis, pulmonary embolism, pulmonary heart disease, and venous thromboembolism. Conclusions The biological activity of lipopolysaccharide in the circulation (ie, endotoxemia) has a small but highly significant genetic component. Endotoxemia is associated with genetic variation in the contact activation pathway, vasoactivity, and lipoprotein metabolism, which play important roles in host defense, lipopolysaccharide neutralization, and thrombosis, and thereby thromboembolism and stroke.
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- 2021
9. SNP in the genome-wide association study hotspot on chromosome 9p21 confers susceptibility to diabetic nephropathy in type 1 diabetes
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Fagerholm, E., Ahlqvist, E., Forsblom, C., Sandholm, N., Syreeni, A., Parkkonen, M., McKnight, A. J., Tarnow, L., Maxwell, A. P., Parving, H.-H., Groop, L., Groop, P.-H., and on behalf of the FinnDiane Study Group
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- 2012
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10. Remnant cholesterol predicts progression of diabetic nephropathy and retinopathy in type 1 diabetes
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Jansson Sigfrids, F., primary, Dahlström, E. H., additional, Forsblom, C., additional, Sandholm, N., additional, Harjutsalo, V., additional, Taskinen, M.‐R., additional, and Groop, P.‐H., additional
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- 2021
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11. INPPL1 is associated with the metabolic syndrome in men with Type 1 diabetes, but not with diabetic nephropathy
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Hyvönen, M. E., Ihalmo, P., Forsblom, C., Thorn, L., Sandholm, N., Lehtonen, S., and Groop, P.-H.
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- 2012
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12. Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen
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SALEM, R. M., TODD, J. N., SANDHOLM, N., COLE, J. B., CHEN, W. M., Andrews, D., PEZZOLESI, M. G., MCKEIGUE, P. M., HIRAKI, L. T., Qiu, C., Nair, V., DI LIAO, C., Cao, J. J., VALO, E., ONENGUT-GUMUSCU, S., SMILES, A. M., MCGURNAGHAN, S. J., HAUKKA, J. K., HARJUTSALO, V., BRENNAN, E. P., VAN ZUYDAM, N., AHLQVIST, E., Doyle, R., AHLUWALIA, T. S., LAJER, M., HUGHES, M. F., Park, J., SKUPIEN, J., SPILIOPOULOU, A., Liu, A., Menon, R., BOUSTANY-KARI, C. M., KANG, H. M., NELSON, R. G., Klein, R., KLEIN, B. E., Lee, K. E., Gao, X., Mauer, M., MAESTRONI, S., CARAMORI, M. L., DE BOER, I. H., MILLER, R. G., Guo, J., BORIGHT, A. P., TREGOUET, D., Gyorgy, B., SNELL-BERGEON, J. K., MAAHS, D. M., BULL, S. B., CANTY, A. J., PALMER, C. N. A., STECHEMESSER, L., PAULWEBER, B., WEITGASSER, R., SOKOLOVSKA, J., ROVITE, V., PIRAGS, V., PRAKAPIENE, E., RADZEVICIENE, L., VERKAUSKIENE, R., PANDURU, N. M., GROOP, L. C., McCarthy, M. I., GU, H. F., MOLLSTEN, A., FALHAMMAR, H., Brismar, K., Martin, F., ROSSING, P., COSTACOU, T., ZERBINI, G., Marre, M., Hadjadj, S., MCKNIGHT, A. J., FORSBLOM, C., McKay, G., GODSON, C., Maxwell, A. P., KRETZLER, M., SUSZTAK, K., COLHOUN, H. M., KROLEWSKI, A., PATERSON, A. D., GROOP, P. H., RICH, S. S., HIRSCHHORN, J. N., FLOREZ, J. C., Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)
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VINTAGE ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,urologic and male genital diseases - Abstract
BACKGROUND: Although diabetic kidney disease demonstrates both familial clustering and single nucleotide polymorphism heritability, the specific genetic factors influencing risk remain largely unknown. METHODS: To identify genetic variants predisposing to diabetic kidney disease, we performed genome-wide association study (GWAS) analyses. Through collaboration with the Diabetes Nephropathy Collaborative Research Initiative, we assembled a large collection of type 1 diabetes cohorts with harmonized diabetic kidney disease phenotypes. We used a spectrum of ten diabetic kidney disease definitions based on albuminuria and renal function. RESULTS: Our GWAS meta-analysis included association results for up to 19,406 individuals of European descent with type 1 diabetes. We identified 16 genome-wide significant risk loci. The variant with the strongest association (rs55703767) is a common missense mutation in the collagen type IV alpha 3 chain (COL4A3) gene, which encodes a major structural component of the glomerular basement membrane (GBM). Mutations in COL4A3 are implicated in heritable nephropathies, including the progressive inherited nephropathy Alport syndrome. The rs55703767 minor allele (Asp326Tyr) is protective against several definitions of diabetic kidney disease, including albuminuria and ESKD, and demonstrated a significant association with GBM width; protective allele carriers had thinner GBM before any signs of kidney disease, and its effect was dependent on glycemia. Three other loci are in or near genes with known or suggestive involvement in this condition (BMP7) or renal biology (COLEC11 and DDR1). CONCLUSIONS: The 16 diabetic kidney disease-associated loci may provide novel insights into the pathogenesis of this condition and help identify potential biologic targets for prevention and treatment.
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- 2019
13. Genome‐wide search for genes affecting the age at diagnosis of type 1 diabetes.
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Syreeni, A., Sandholm, N., Sidore, C., Cucca, F., Haukka, J., Harjutsalo, V., and Groop, P.‐H.
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TYPE 1 diabetes , *GENES , *DIAGNOSIS , *ASTHMA in children , *GERMPLASM - Abstract
Background: Type 1 diabetes (T1D) is an autoimmune disease affecting individuals in the early years of life. Although previous studies have identified genetic loci influencing T1D diagnosis age, these studies did not investigate the genome with high resolution. Objective and methods: We performed a genome‐wide meta‐analysis for age at diagnosis with cohorts from Finland (Finnish Diabetic Nephropathy Study), the United Kingdom (UK Genetic Resource Investigating Diabetes) and Sardinia. Through SNP associations, transcriptome‐wide association analysis linked T1D diagnosis age and gene expression. Results: We identified two chromosomal regions associated with T1D diagnosis age: multiple independent variants in the HLA region on chromosome 6 and a locus on chromosome 17q12. We performed gene‐level association tests with transcriptome prediction models from two whole blood datasets, lymphocyte cell line, spleen, pancreas and small intestine tissues. Of the non‐HLA genes, lower PNMT expression in whole blood, and higher IKZF3 and ZPBP2, and lower ORMDL3 and GSDMB transcription levels in multiple tissues were associated with lower T1D diagnosis age (FDR = 0.05). These genes lie on chr17q12 which is associated with T1D, other autoimmune diseases, and childhood asthma. Additionally, higher expression of PHF20L1, a gene not previously implicated in T1D, was associated with lower diagnosis age in lymphocytes, pancreas, and spleen. Altogether, the non‐HLA associations were enriched in open chromatin in various blood cells, blood vessel tissues and foetal thymus tissue. Conclusion: Multiple genes on chr17q12 and PHF20L1 on chr8 were associated with T1D diagnosis age and only further studies may elucidate the role of these genes for immunity and T1D onset. [ABSTRACT FROM AUTHOR]
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- 2021
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14. A genome-wide association study suggests new evidence for an association of the NADPH Oxidase 4 (NOX4) gene with severe diabetic retinopathy in type 2 diabetes
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Meng, W, Shah, KP, Pollack, S, Toppila, I, Hebert, HL, McCarthy, MI, Groop, L, Ahlqvist, E, Lyssenko, V, Agardh, E, Daniell, M, Kaidonis, G, Craig, JE, Mitchell, P, Liew, G, Kifley, A, Wang, JJ, Christiansen, MW, Jensen, RA, Penman, A, Hancock, HA, Chen, CJ, Correa, A, Kuo, JZ, Li, X, Chen, Y-DI, Rotter, JI, Klein, R, Klein, B, Wong, TY, Morris, AD, Doney, ASF, Colhoun, HM, Price, AL, Burdon, KP, Groop, P-H, Sandholm, N, Grassi, MA, Sobrin, L, Palmer, CNA, Meng, W, Shah, KP, Pollack, S, Toppila, I, Hebert, HL, McCarthy, MI, Groop, L, Ahlqvist, E, Lyssenko, V, Agardh, E, Daniell, M, Kaidonis, G, Craig, JE, Mitchell, P, Liew, G, Kifley, A, Wang, JJ, Christiansen, MW, Jensen, RA, Penman, A, Hancock, HA, Chen, CJ, Correa, A, Kuo, JZ, Li, X, Chen, Y-DI, Rotter, JI, Klein, R, Klein, B, Wong, TY, Morris, AD, Doney, ASF, Colhoun, HM, Price, AL, Burdon, KP, Groop, P-H, Sandholm, N, Grassi, MA, Sobrin, L, and Palmer, CNA
- Abstract
PURPOSE: Diabetic retinopathy is the most common eye complication in patients with diabetes. The purpose of this study is to identify genetic factors contributing to severe diabetic retinopathy. METHODS: A genome-wide association approach was applied. In the Genetics of Diabetes Audit and Research in Tayside Scotland (GoDARTS) datasets, cases of severe diabetic retinopathy were defined as type 2 diabetic patients who were ever graded as having severe background retinopathy (Level R3) or proliferative retinopathy (Level R4) in at least one eye according to the Scottish Diabetic Retinopathy Grading Scheme or who were once treated by laser photocoagulation. Controls were diabetic individuals whose longitudinal retinopathy screening records were either normal (Level R0) or only with mild background retinopathy (Level R1) in both eyes. Significant Single Nucleotide Polymorphisms (SNPs) were taken forward for meta-analysis using multiple Caucasian cohorts. RESULTS: Five hundred and sixty cases of type 2 diabetes with severe diabetic retinopathy and 4,106 controls were identified in the GoDARTS cohort. We revealed that rs3913535 in the NADPH Oxidase 4 (NOX4) gene reached a p value of 4.05 × 10-9 . Two nearby SNPs, rs10765219 and rs11018670 also showed promising p values (p values = 7.41 × 10-8 and 1.23 × 10-8 , respectively). In the meta-analysis using multiple Caucasian cohorts (excluding GoDARTS), rs10765219 and rs11018670 showed associations for diabetic retinopathy (p = 0.003 and 0.007, respectively), while the p value of rs3913535 was not significant (p = 0.429). CONCLUSION: This genome-wide association study of severe diabetic retinopathy suggests new evidence for the involvement of the NOX4 gene.
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- 2018
15. New genetic loci link adipose and insulin biology to body fat distribution
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Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, 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- Abstract
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, we conducted genome-wide association meta-analyses of waist and hip circumference-related traits in up to 224,459 individuals. We identified 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (WHRadjBMI) and an additional 19 loci newly associated with related waist and hip circumference measures (P<5×10-8). Twenty of the 49 WHRadjBMI loci showed significant sexual dimorphism, 19 of which displayed a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation, and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.
- Published
- 2015
16. Genetic studies of body mass index yield new insights for obesity biology
- Author
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- Abstract
Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10-8), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20 % of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
- Published
- 2015
17. Association study reveals novel risk loci for sporadic inclusion body myositis
- Author
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Johari, M., Arumilli, M., Palmio, J., Savarese, M., Tasca, Giorgio, Mirabella, Massimiliano, Sandholm, N., Lohi, H., Hackman, P., Udd, B., Tasca, G., Mirabella, M. (ORCID:0000-0002-7783-114X), Johari, M., Arumilli, M., Palmio, J., Savarese, M., Tasca, Giorgio, Mirabella, Massimiliano, Sandholm, N., Lohi, H., Hackman, P., Udd, B., Tasca, G., and Mirabella, M. (ORCID:0000-0002-7783-114X)
- Abstract
Background and purpose: The aim was to identify potential genetic risk factors associated with sporadic inclusion body myositis (sIBM). Methods: An association based caseâcontrol approach was utilized on whole exome sequencing data of 30 Finnish sIBM patients and a control cohort (n = 193). A separate Italian cohort of sIBM patients (n = 12) was used for evaluation of the results. Results: Seven single nucleotide polymorphisms were identified in five genes that have a considerably higher observed frequency in Finnish sIBM patients compared to the control population, and the previous association of the genetic human leukocyte antigen region was confirmed. Conclusions: All seven identified variants could individually or in combination increase the susceptibility for sIBM.
- Published
- 2017
18. Association study reveals novel risk loci for sporadic inclusion body myositis
- Author
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Johari, M., primary, Arumilli, M., additional, Palmio, J., additional, Savarese, M., additional, Tasca, G., additional, Mirabella, M., additional, Sandholm, N., additional, Lohi, H., additional, Hackman, P., additional, and Udd, B., additional
- Published
- 2017
- Full Text
- View/download PDF
19. Genetic risk factors affecting mitochondrial function are associated with kidney disease in people with Type 1 diabetes
- Author
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Swan, EJ, Salem, RM, Sandholm, N, Tarnow, L, Rossing, P, Lajer, M, Groop, PH, Maxwell, AP, McKnight, AJ, and GENIE Consortium
- Subjects
Adult ,Male ,Genome ,Clinical Sciences ,Single Nucleotide ,Middle Aged ,Mitochondria ,Mitochondrial ,Kidney Failure ,GENIE Consortium ,Endocrinology & Metabolism ,Case-Control Studies ,Diabetes Mellitus ,Public Health and Health Services ,Humans ,Psychology ,Diabetic Nephropathies ,Genetic Predisposition to Disease ,Female ,Renal Insufficiency ,Chronic ,Polymorphism ,Type 1 ,Aged - Abstract
AimTo evaluate the association with diabetic kidney disease of single nucleotide polymorphisms (SNPs) that may contribute to mitochondrial dysfunction.MethodsThe mitochondrial genome and 1039 nuclear genes that are integral to mitochondrial function were investigated using a case (n = 823 individuals with diabetic kidney disease) vs. control (n = 903 individuals with diabetes and no renal disease) approach. All people included in the analysis were of white European origin and were diagnosed with Type 1 diabetes before the age of 31 years. Replication was conducted in 5093 people with similar phenotypes to those of the discovery collection. Association analyses were performed using the plink genetic analysis toolset, with adjustment for relevant covariates.ResultsA total of 25 SNPs were evaluated in the mitochondrial genome, but none were significantly associated with diabetic kidney disease or end-stage renal disease. A total of 38 SNPs in nuclear genes influencing mitochondrial function were nominally associated with diabetic kidney disease and 16 SNPS were associated with end-stage renal disease, secondary to diabetic kidney disease, with meta-analyses confirming the same direction of effect. Three independent signals (seven SNPs) were common to the replication data for both phenotypes with Type 1 diabetes and persistent proteinuria or end-stage renal disease.ConclusionsOur results suggest that SNPs in nuclear genes that influence mitochondrial function are significantly associated with diabetic kidney disease in a white European population.
- Published
- 2015
20. Genetic variation of SLC19A3 is associated to diabetic retinopathy and nephropathy in type 1 diabetes
- Author
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Toppila, I., Porta, M., Sandholm, N., Forsblom, C., Borio, L., Beltramo, E., Hietala, K., Hosseini, M., Andrew Paterson, and Groop, P. -H
- Published
- 2014
21. Association study reveals novel genetic risk factors associated with sporadic inclusion body myositis
- Author
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Johari, M., primary, Arumilli, M., additional, Sandholm, N., additional, Lohi, H., additional, Hackman, P., additional, and Udd, B., additional
- Published
- 2016
- Full Text
- View/download PDF
22. New genetic loci link adipose and insulin biology to body fat distribution.
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ADIPOGen Consortium, CARDIOGRAMplusC4D Consortium, CKDGen Consortium, GEFOS Consortium, GENIE Consortium, International Endogene Consortium, LifeLines Cohort Study, MAGIC Investigators, MuTHER Consortium, PAGE Consortium, ReproGen Consortium, GLGC, ICBP, Dastani, Z., Hivert, MF., Timpson, N., Perry, JR., Yuan, X., Scott, RA., Henneman, P., Heid, IM., Kizer, JR., Lyytikainen, LP., Fuchsberger, C., Tanaka, T., Morris, AP., Small, K., Isaacs, A., Beekman, M., Coassin, S., Lohman, K., Qi, L., Kanoni, S., Pankow, JS., Uh, HW., Wu, Y., Bidulescu, A., Rasmussen-Torvik, LJ., Greenwood, CM., Ladouceur, M., Grimsby, J., Manning, AK., Liu, CT., Kooner, J., Mooser, VE., Vollenweider, P., Kapur, KA., Chambers, J., Wareham, NJ., Langenberg, C., Frants, R., Willemsvan-vanDijk, K., Oostra, BA., Willems, SM., Lamina, C., Winkler, T., Psaty, BM., Tracy, RP., Brody, J., Chen, I., Viikari, J., Kähönen, M., Pramstaller, PP., Evans, DM., St Pourcain, B., Sattar, N., Wood, A., Bandinelli, S., Carlson, OD., 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- Abstract
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.
- Published
- 2015
23. New genetic loci link adipose and insulin biology to body fat distribution
- Author
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Shungin, D. (Dmitry), Winkler, T.W. (Thomas W.), Croteau-Chonka, D.C. (Damien), Ferreira, T. (Teresa), Locke, A. (Adam), Mägi, R. (Reedik), Strawbridge, R.J. (Rona), Pers, T.H. (Tune), Fischer, K. (Krista), Justice, A.E. (Anne), Workalemahu, T. (Tsegaselassie), Wu, J.M.W. (Joseph M. W.), Buchkovich, M.L. (Martin), Heard-Costa, N.L. (Nancy), Roman, T.S. (Tamara S.), Drong, A. (Alexander), Song, C. (Ci), Gustafsson, S. (Stefan), Day, F.R. (Felix), Esko, T. (Tõnu), Fall, M. (Magnus), Kutalik, Z. (Zolta'n), Luan, J., Randall, J.C. (Joshua), Scherag, A. (Andre), Vedantam, S. (Sailaja), Wood, A.R. (Andrew), Chen, J. (Jin), Fehrmann, R.S.N. (Rudolf), Karjalainen, J. (Juha), Kahali, B. (Bratati), Liu, C.-T. (Ching-Ti), Schmidt, E.M. (Ellen), Absher, D. (Devin), Amin, N. (Najaf), Beekman, M. (Marian), Bragg-Gresham, J.L. (Jennifer L.), Buyske, S. (Steven), Demirkan, A. (Ayşe), Ehret, G.B. (Georg), Feitosa, M.F. (Mary Furlan), Goel, A. (Anuj), Jackson, A.U. (Anne), Johnson, T. (Toby), Kleber, M.E. (Marcus), Kristiansson, K. (Kati), Mangino, M. (Massimo), Leach, I.M. (Irene Mateo), Medina-Gomez, M.C. (Carolina), Palmer, C. (Cameron), Pasko, D. (Dorota), Pechlivanis, S. (Sonali), Peters, M.J. (Marjolein), Prokopenko, I. (Inga), Stanca'kova', A. (Alena), Sung, Y.J. (Yun Ju), Tanaka, T. (Toshiko), Teumer, A. (Alexander), Vliet-Ostaptchouk, J.V. (Jana) van, Yengo, L. (Loic), Zhang, W. (Weihua), Albrecht, E. (Eva), Ärnlöv, J. (Johan), Arscott, G.M. (Gillian M.), Bandinelli, S. (Stefania), Barrett, A. (Angela), Bellis, C. (Claire), Bennett, A.J. (Amanda), Berne, C. (Christian), Blüher, M. (Matthias), Böhringer, S. (Stefan), Bonnet, F. (Fabrice), Böttcher, Y. (Yvonne), Bruinenberg, M. (M.), Carba, D.B. (Delia B.), Caspersen, I.H. (Ida H.), Clarke, R. (Robert), Daw, E.W. (E. Warwick), Deelen, J. (Joris), Deelman, E. (Ewa), Delgado, G., Doney, A.S.F. (Alex), Eklund, N. (Niina), Erdos, M.R. (Michael), Estrada Gil, K. (Karol), Eury, E. (Elodie), Friedrich, N. 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(Wendy), Menni, C. (Cristina), Merger, S. (Sigrun), Mihailov, E. (Evelin), Milani, L. (Lili), Mills, R. (Rebecca), Moayyeri, A. (Alireza), Monda, K.L. (Keri), Mooijaart, S.P. (Simon), Mühleisen, T.W. (Thomas), Mulas, A. (Antonella), Müller, G. (Gabriele), Müller-Nurasyid, M. (Martina), Nagaraja, R. (Ramaiah), Nalls, M.A. (Michael), Narisu, N. (Narisu), Glorioso, N. (Nicola), Nolte, I.M. (Ilja M.), Olden, M. (Matthias), Rayner, N.W. (Nigel William), Renström, F. (Frida), Ried, J.S. (Janina), Robertson, N.R. (Neil R.), Rose, L.M. (Lynda), Sanna, S. (Serena), Scharnagl, H. (Hubert), Scholtens, S. (Salome), Sennblad, B. (Bengt), Seufferlein, T. (Thomas), Sitlani, C.M. (Colleen), Smith, A.V. (Davey), Stirrups, K. (Kathy), Stringham, H.M. (Heather), Sundstrom, J. (Johan), Swertz, M. (Morris), Swift, A.J. (Amy), Syvanen, A.C., Tayo, B. (Bamidele), Thorand, B. (Barbara), Thorleifsson, G. (Gudmar), Tomaschitz, A. (Andreas), Troffa, C. (Chiara), Oort, F.V.A. (Floor) van, Verweij, N. (Niek), Vonk, J.M. (Judith), Waite, L. (Lindsay), Wennauer, R. (Roman), Wilsgaard, T. (Tom), Wojczynski, M.K. (Mary ), Wong, A. (Andrew), Zhang, Q. (Qunyuan), Zhao, J.H. (Jing Hua), Brennan, E.P. (Eoin P.), Choi, M. (Murim), Eriksson, P. (Per), Folkersen, L. (Lasse), Franco-Cereceda, A. (Anders), Gharavi, A.G. (Ali G.), Hedman, A.K. (Asa), Hivert, M.-F. (Marie-France), Huang, J. (Jinyan), Kanoni, S. (Stavroula), Karpe, F. (Fredrik), Keildson, S. (Sarah), Kiryluk, K. (Krzysztof), Liang, L. (Liming), Lifton, R.P. (Richard), Ma, B. (Baoshan), McKnight, A.J. (Amy J.), McPherson, R. (Ruth), Metspalu, A. (Andres), Min, J.L. (Josine L.), Moffatt, M.F. (Miriam), Montgomery, G.W. (Grant), Murabito, J. (Joanne), Nicholson, G. (Ggeorge), Dimas, A.S. (Antigone), Olsson, C. (Christian), Perry, J.R.B. (John), Reinmaa, E. (Eva), Salem, R.M. (Rany), Sandholm, N. (Niina), Schadt, E.E. (Eric), Scott, R.A. (Robert), Stolk, L. (Lisette), Vallejo, E.E. (Edgar E.), Westra, H.J. (Harm-Jan), Zondervan, K.T. (Krina), Amouyel, P. (Philippe), Arveiler, D. (Dominique), Bakker, S.J.L. (Stephan), Beilby, J.P. (John), Bergman, R.N. (Richard), Blangero, J. (John), Brown, M.J. (Morris), Burnier, M. (Michel), Campbell, H. (Harry), Chakravarti, A. (Aravinda), Chines, P.S. (Peter), Claudi-Boehm, S. (Simone), Collins, F.S. (Francis), Crawford, D.C. (Dana), Danesh, J. (John), Faire, U. (Ulf) de, Geus, E.J.C. (Eco) de, Dörr, M. (Marcus), Erbel, R. (Raimund), Hagen, K. (Knut), Farrall, M. (Martin), Ferrannini, E. (Ele), Ferrieres, J. (Jean), Forouhi, N.G. (Nita), Forrester, T. (Terrence), Franco, O.H. (Oscar), Gansevoort, R.T. (Ron), Gieger, C. (Christian), Gudnason, V. (Vilmundur), Haiman, C.A. (Christopher), Harris, T.B. (Tamara), Hattersley, A.T. (Andrew), Heliovaara, M. (Markku), Hicks, A.A. (Andrew), Hingorani, A. (Aroon), Hoffmann, W. (Wolfgang), Hofman, A. (Albert), Homuth, G. (Georg), Humphries, S.E. (Steve), Hypponen, E. (Elina), Illig, T. (Thomas), Jarvelin, M.-R. (Marjo-Riitta), Johansen, B. (Berit), Jousilahti, P. (Pekka), Jula, A. (Antti), Kaprio, J. (Jaakko), Kee, F. (F.), Keinanen-Kiukaanniemi, S. (Sirkka), Kooner, J.S. (Jaspal S.), Kooperberg, C. (Charles), Kovacs, P. (Peter), Kraja, A. (Aldi), Kumari, M. (Meena), Kuulasmaa, K. (Kari), Kuusisto, J. (Johanna), Lakka, T.A. (Timo), Langenberg, C. (Claudia), Le Marchand, L. (Loic), Lehtimäki, T. (Terho), Lyssenko, V. (Valeriya), Männistö, S. (Satu), Marette, A. (Andre'), Matise, T.C. (Tara C.), McKenzie, C.A. (Colin A.), McKnight, B. (Barbara), Musk, A.W. (Arthur), Möhlenkamp, S. (Stefan), Morris, A.D. (Andrew), Nelis, M. (Mari), Ohlsson, C. (Claes), Oldehinkel, A.J. (Albertine), Ong, K.K. (Ken K.), Penninx, B.W.J.H. (Brenda), Peters, A. (Annette), Pramstaller, P.P. (Peter Paul), Raitakari, O. (Olli), Rankinen, T. (Tuomo), Rao, D.C. (Dabeeru C.), Rice, T.K. (Treva K.), Ridker, P.M. (Paul), Ritchie, M.D. (Marylyn D.), Rudan, I. (Igor), Salomaa, V. (Veikko), Samani, N.J. (Nilesh), Saramies, J. (Jouko), Sarzynski, M.A. (Mark A.), Schwarz, P.E.H. (Peter E. H.), Shuldiner, A.R. (Alan), Staessen, J.A. (Jan), Steinthorsdottir, V. (Valgerdur), Stolk, R.P. (Ronald), Strauch, K. (Konstantin), Tönjes, A. (Anke), Tremblay, A. (Angelo), Tremoli, E. (Elena), Vohl, M.-C. (Marie-Claude), Völker, U. (Uwe), Vollenweider, P. (Peter), Wilson, J.F. (James F), Witteman, J.C.M. (Jacqueline), Adair, L.S. (Linda), Bochud, M. (Murielle), Boehm, B.O. (Bernhard), Bornstein, S.R. (Stefan R.), Bouchard, C. (Claude), Cauchi, S. (Ste'phane), Caulfield, M. (Mark), Chambers, J.C. (John C.), Chasman, D.I. (Daniel), Cooper, R.S. (Richard S.), Dedoussis, G.V. (George), Ferrucci, L. (Luigi), Froguel, P. (Philippe), Grabe, H.J. (Hans Jörgen), Hamsten, A. (Anders), Hui, J. (Jennie), Hveem, K. (Kristian), Jöckel, K.-H. (Karl-Heinz), Kivimaki, M. (Mika), Kuh, D. (Diana), Laakso, M. (Markku), Liu, Y. (YongMei), März, W. (Winfried), Munroe, P. (Patricia), Njølstad, I. (Inger), Oostra, B.A. (Ben), Palmer, C.N.A. (Colin), Pedersen, N.L. (Nancy L.), Perola, M. (Markus), Perusse, L. (Louis), Peters, U. (Ulrike), Power, C. (Christopher), Quertermous, T. (Thomas), Rauramaa, R. (Rainer), Rivadeneira Ramirez, F. (Fernando), Saaristo, T. (Timo), Saleheen, D., Sinisalo, J. (Juha), Slagboom, P.E. (Eline), Snieder, H. (Harold), Spector, T.D. (Timothy), Thorsteinsdottir, U. (Unnur), Stumvoll, M. (Michael), Tuomilehto, J. (Jaakko), Uitterlinden, A.G. (André), Uusitupa, M. (Matti), Harst, P. (Pim) van der, Veronesi, G. (Giovanni), Walker, M. (Mark), Wareham, N.J. (Nick), Watkins, H. (Hugh), Wichmann, H.E. (Heinz Erich), Abecasis, G.R. (Gonçalo), Assimes, T.L. (Themistocles), Berndt, S.I. (Sonja), Boehnke, M. (Michael), Borecki, I.B. (Ingrid), Deloukas, P. (Panagiotis), Franke, L. (Lude), Frayling, T.M. (Timothy), Groop, L. (Leif), Hunter, D. (David), Kaplan, R.C. (Robert), O´Connell, J.R., Qi, L. (Lu), Schlessinger, D. (David), Strachan, D.P. (David), Zwart, J-A. (John-Anker), Duijn, C.M. (Cornelia) van, Willer, C.J. (Cristen), Visscher, P.M. (Peter), Yang, J. (Joanna), Hirschhorn, J.N. (Joel N.), Zillikens, M.C. (Carola), McCarthy, M.I. (Mark), Speliotes, E.K. (Elizabeth), North, K.E. (Kari), Fox, C.S. (Caroline S.), Barroso, I.E. (Inês), Franks, P.W. (Paul), Anderson, D. (Denise), Ingelsson, E. (Erik), Heid, I.M. (Iris), Loos, R.J.F. (Ruth), Cupples, L.A. (Adrienne), Morris, A.P. (Andrew), Lindgren, C.M. (Cecilia), Mohlke, K.L. (Karen), Shungin, D. (Dmitry), Winkler, T.W. (Thomas W.), Croteau-Chonka, D.C. (Damien), Ferreira, T. (Teresa), Locke, A. (Adam), Mägi, R. (Reedik), Strawbridge, R.J. (Rona), Pers, T.H. (Tune), Fischer, K. (Krista), Justice, A.E. (Anne), Workalemahu, T. (Tsegaselassie), Wu, J.M.W. (Joseph M. W.), Buchkovich, M.L. (Martin), Heard-Costa, N.L. (Nancy), Roman, T.S. (Tamara S.), Drong, A. (Alexander), Song, C. (Ci), Gustafsson, S. (Stefan), Day, F.R. (Felix), Esko, T. (Tõnu), Fall, M. (Magnus), Kutalik, Z. (Zolta'n), Luan, J., Randall, J.C. (Joshua), Scherag, A. (Andre), Vedantam, S. (Sailaja), Wood, A.R. (Andrew), Chen, J. (Jin), Fehrmann, R.S.N. (Rudolf), Karjalainen, J. (Juha), Kahali, B. (Bratati), Liu, C.-T. (Ching-Ti), Schmidt, E.M. (Ellen), Absher, D. (Devin), Amin, N. (Najaf), Beekman, M. (Marian), Bragg-Gresham, J.L. (Jennifer L.), Buyske, S. (Steven), Demirkan, A. (Ayşe), Ehret, G.B. (Georg), Feitosa, M.F. (Mary Furlan), Goel, A. (Anuj), Jackson, A.U. (Anne), Johnson, T. (Toby), Kleber, M.E. (Marcus), Kristiansson, K. (Kati), Mangino, M. (Massimo), Leach, I.M. (Irene Mateo), Medina-Gomez, M.C. (Carolina), Palmer, C. (Cameron), Pasko, D. (Dorota), Pechlivanis, S. (Sonali), Peters, M.J. (Marjolein), Prokopenko, I. (Inga), Stanca'kova', A. (Alena), Sung, Y.J. (Yun Ju), Tanaka, T. (Toshiko), Teumer, A. (Alexander), Vliet-Ostaptchouk, J.V. (Jana) van, Yengo, L. (Loic), Zhang, W. (Weihua), Albrecht, E. (Eva), Ärnlöv, J. (Johan), Arscott, G.M. (Gillian M.), Bandinelli, S. (Stefania), Barrett, A. (Angela), Bellis, C. (Claire), Bennett, A.J. (Amanda), Berne, C. (Christian), Blüher, M. (Matthias), Böhringer, S. (Stefan), Bonnet, F. (Fabrice), Böttcher, Y. (Yvonne), Bruinenberg, M. (M.), Carba, D.B. (Delia B.), Caspersen, I.H. (Ida H.), Clarke, R. (Robert), Daw, E.W. (E. Warwick), Deelen, J. (Joris), Deelman, E. (Ewa), Delgado, G., Doney, A.S.F. (Alex), Eklund, N. (Niina), Erdos, M.R. (Michael), Estrada Gil, K. (Karol), Eury, E. (Elodie), Friedrich, N. (Nele), Garcia, M. (Melissa), Giedraitis, V. (Vilmantas), Gigante, B. (Bruna), Go, A.T.J.I. (Attie), Golay, A. (Alain), Grallert, H. (Harald), Grammer, T.B. (Tanja), Gräsler, J. (Jürgen), Grewal, J. (Jagvir), Groves, C.J. (Christopher), Haller, T. (Toomas), Hallmans, G. (Göran), Hartman, C.A. (Catharina), Hassinen, M. (Maija), Hayward, C. (Caroline), Heikkilä, K. (Kauko), Herzig, K.H., Helmer, Q. (Quinta), Hillege, H.L. (Hans), Holmen, O.L. (Oddgeir), Hunt, S.C. (Steven), Isaacs, A. (Aaron), Ittermann, T. (Till), James, A.L. (Alan), Johansson, I. (Inger), Juliusdottir, T. (Thorhildur), Kalafati, I.-P. (Ioanna-Panagiota), Kinnunen, L. (Leena), Koenig, W. (Wolfgang), Kooner, I.K. (Ishminder K.), Kratzer, W. (Wolfgang), Lamina, C. (Claudia), Leander, K. (Karin), Lee, N.R. (Nanette R.), Lichtner, P. (Peter), Lind, L. (Lars), Lindström, J. (Jaana), Lobbens, S. (Stéphane), Lorentzon, M. (Mattias), MacH, F. (François), Magnusson, P.K. (Patrik), Mahajan, A. (Anubha), McArdle, W.L. (Wendy), Menni, C. (Cristina), Merger, S. (Sigrun), Mihailov, E. (Evelin), Milani, L. (Lili), Mills, R. (Rebecca), Moayyeri, A. (Alireza), Monda, K.L. (Keri), Mooijaart, S.P. (Simon), Mühleisen, T.W. (Thomas), Mulas, A. (Antonella), Müller, G. (Gabriele), Müller-Nurasyid, M. (Martina), Nagaraja, R. (Ramaiah), Nalls, M.A. (Michael), Narisu, N. (Narisu), Glorioso, N. (Nicola), Nolte, I.M. (Ilja M.), Olden, M. (Matthias), Rayner, N.W. (Nigel William), Renström, F. (Frida), Ried, J.S. (Janina), Robertson, N.R. (Neil R.), Rose, L.M. (Lynda), Sanna, S. (Serena), Scharnagl, H. (Hubert), Scholtens, S. (Salome), Sennblad, B. (Bengt), Seufferlein, T. (Thomas), Sitlani, C.M. (Colleen), Smith, A.V. (Davey), Stirrups, K. (Kathy), Stringham, H.M. (Heather), Sundstrom, J. (Johan), Swertz, M. (Morris), Swift, A.J. (Amy), Syvanen, A.C., Tayo, B. (Bamidele), Thorand, B. (Barbara), Thorleifsson, G. (Gudmar), Tomaschitz, A. (Andreas), Troffa, C. (Chiara), Oort, F.V.A. (Floor) van, Verweij, N. (Niek), Vonk, J.M. (Judith), Waite, L. (Lindsay), Wennauer, R. (Roman), Wilsgaard, T. (Tom), Wojczynski, M.K. (Mary ), Wong, A. (Andrew), Zhang, Q. (Qunyuan), Zhao, J.H. (Jing Hua), Brennan, E.P. (Eoin P.), Choi, M. (Murim), Eriksson, P. (Per), Folkersen, L. (Lasse), Franco-Cereceda, A. (Anders), Gharavi, A.G. (Ali G.), Hedman, A.K. (Asa), Hivert, M.-F. (Marie-France), Huang, J. (Jinyan), Kanoni, S. (Stavroula), Karpe, F. (Fredrik), Keildson, S. (Sarah), Kiryluk, K. (Krzysztof), Liang, L. (Liming), Lifton, R.P. (Richard), Ma, B. (Baoshan), McKnight, A.J. (Amy J.), McPherson, R. (Ruth), Metspalu, A. (Andres), Min, J.L. (Josine L.), Moffatt, M.F. (Miriam), Montgomery, G.W. (Grant), Murabito, J. (Joanne), Nicholson, G. (Ggeorge), Dimas, A.S. (Antigone), Olsson, C. (Christian), Perry, J.R.B. (John), Reinmaa, E. (Eva), Salem, R.M. (Rany), Sandholm, N. (Niina), Schadt, E.E. (Eric), Scott, R.A. (Robert), Stolk, L. (Lisette), Vallejo, E.E. (Edgar E.), Westra, H.J. (Harm-Jan), Zondervan, K.T. (Krina), Amouyel, P. (Philippe), Arveiler, D. (Dominique), Bakker, S.J.L. (Stephan), Beilby, J.P. (John), Bergman, R.N. (Richard), Blangero, J. (John), Brown, M.J. (Morris), Burnier, M. (Michel), Campbell, H. (Harry), Chakravarti, A. (Aravinda), Chines, P.S. (Peter), Claudi-Boehm, S. (Simone), Collins, F.S. (Francis), Crawford, D.C. (Dana), Danesh, J. (John), Faire, U. (Ulf) de, Geus, E.J.C. (Eco) de, Dörr, M. (Marcus), Erbel, R. (Raimund), Hagen, K. (Knut), Farrall, M. (Martin), Ferrannini, E. (Ele), Ferrieres, J. (Jean), Forouhi, N.G. (Nita), Forrester, T. (Terrence), Franco, O.H. (Oscar), Gansevoort, R.T. (Ron), Gieger, C. (Christian), Gudnason, V. (Vilmundur), Haiman, C.A. (Christopher), Harris, T.B. (Tamara), Hattersley, A.T. (Andrew), Heliovaara, M. (Markku), Hicks, A.A. (Andrew), Hingorani, A. (Aroon), Hoffmann, W. (Wolfgang), Hofman, A. (Albert), Homuth, G. (Georg), Humphries, S.E. (Steve), Hypponen, E. (Elina), Illig, T. (Thomas), Jarvelin, M.-R. (Marjo-Riitta), Johansen, B. (Berit), Jousilahti, P. (Pekka), Jula, A. (Antti), Kaprio, J. (Jaakko), Kee, F. (F.), Keinanen-Kiukaanniemi, S. (Sirkka), Kooner, J.S. (Jaspal S.), Kooperberg, C. (Charles), Kovacs, P. (Peter), Kraja, A. (Aldi), Kumari, M. (Meena), Kuulasmaa, K. (Kari), Kuusisto, J. (Johanna), Lakka, T.A. (Timo), Langenberg, C. (Claudia), Le Marchand, L. (Loic), Lehtimäki, T. (Terho), Lyssenko, V. (Valeriya), Männistö, S. (Satu), Marette, A. (Andre'), Matise, T.C. (Tara C.), McKenzie, C.A. (Colin A.), McKnight, B. (Barbara), Musk, A.W. (Arthur), Möhlenkamp, S. (Stefan), Morris, A.D. (Andrew), Nelis, M. (Mari), Ohlsson, C. (Claes), Oldehinkel, A.J. (Albertine), Ong, K.K. (Ken K.), Penninx, B.W.J.H. (Brenda), Peters, A. (Annette), Pramstaller, P.P. (Peter Paul), Raitakari, O. (Olli), Rankinen, T. (Tuomo), Rao, D.C. (Dabeeru C.), Rice, T.K. (Treva K.), Ridker, P.M. (Paul), Ritchie, M.D. (Marylyn D.), Rudan, I. (Igor), Salomaa, V. (Veikko), Samani, N.J. (Nilesh), Saramies, J. (Jouko), Sarzynski, M.A. (Mark A.), Schwarz, P.E.H. (Peter E. H.), Shuldiner, A.R. (Alan), Staessen, J.A. (Jan), Steinthorsdottir, V. (Valgerdur), Stolk, R.P. (Ronald), Strauch, K. (Konstantin), Tönjes, A. (Anke), Tremblay, A. (Angelo), Tremoli, E. (Elena), Vohl, M.-C. (Marie-Claude), Völker, U. (Uwe), Vollenweider, P. (Peter), Wilson, J.F. (James F), Witteman, J.C.M. (Jacqueline), Adair, L.S. (Linda), Bochud, M. (Murielle), Boehm, B.O. (Bernhard), Bornstein, S.R. (Stefan R.), Bouchard, C. (Claude), Cauchi, S. (Ste'phane), Caulfield, M. (Mark), Chambers, J.C. (John C.), Chasman, D.I. (Daniel), Cooper, R.S. (Richard S.), Dedoussis, G.V. (George), Ferrucci, L. (Luigi), Froguel, P. (Philippe), Grabe, H.J. (Hans Jörgen), Hamsten, A. (Anders), Hui, J. (Jennie), Hveem, K. (Kristian), Jöckel, K.-H. (Karl-Heinz), Kivimaki, M. (Mika), Kuh, D. (Diana), Laakso, M. (Markku), Liu, Y. (YongMei), März, W. (Winfried), Munroe, P. (Patricia), Njølstad, I. (Inger), Oostra, B.A. (Ben), Palmer, C.N.A. (Colin), Pedersen, N.L. (Nancy L.), Perola, M. (Markus), Perusse, L. (Louis), Peters, U. (Ulrike), Power, C. (Christopher), Quertermous, T. (Thomas), Rauramaa, R. (Rainer), Rivadeneira Ramirez, F. (Fernando), Saaristo, T. (Timo), Saleheen, D., Sinisalo, J. (Juha), Slagboom, P.E. (Eline), Snieder, H. (Harold), Spector, T.D. (Timothy), Thorsteinsdottir, U. (Unnur), Stumvoll, M. (Michael), Tuomilehto, J. (Jaakko), Uitterlinden, A.G. (André), Uusitupa, M. (Matti), Harst, P. (Pim) van der, Veronesi, G. (Giovanni), Walker, M. (Mark), Wareham, N.J. (Nick), Watkins, H. (Hugh), Wichmann, H.E. (Heinz Erich), Abecasis, G.R. (Gonçalo), Assimes, T.L. (Themistocles), Berndt, S.I. (Sonja), Boehnke, M. (Michael), Borecki, I.B. (Ingrid), Deloukas, P. (Panagiotis), Franke, L. (Lude), Frayling, T.M. (Timothy), Groop, L. (Leif), Hunter, D. (David), Kaplan, R.C. (Robert), O´Connell, J.R., Qi, L. (Lu), Schlessinger, D. (David), Strachan, D.P. (David), Zwart, J-A. (John-Anker), Duijn, C.M. (Cornelia) van, Willer, C.J. (Cristen), Visscher, P.M. (Peter), Yang, J. (Joanna), Hirschhorn, J.N. (Joel N.), Zillikens, M.C. (Carola), McCarthy, M.I. (Mark), Speliotes, E.K. (Elizabeth), North, K.E. (Kari), Fox, C.S. (Caroline S.), Barroso, I.E. (Inês), Franks, P.W. (Paul), Anderson, D. (Denise), Ingelsson, E. (Erik), Heid, I.M. (Iris), Loos, R.J.F. (Ruth), Cupples, L.A. (Adrienne), Morris, A.P. (Andrew), Lindgren, C.M. (Cecilia), and Mohlke, K.L. (Karen)
- Abstract
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10-8). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.
- Published
- 2015
- Full Text
- View/download PDF
24. Genetic risk factors affecting mitochondrial function are associated with kidney disease in people with Type 1 diabetes
- Author
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Swan, E. J., Salem, R. M., Sandholm, N., Tarnow, L., Rossing, P., Lajer, M., Groop, P. H., Maxwell, A. P., Mcknight, A. J., the GENIE Consortium, GENIE Consortium, Swan, E. J., Salem, R. M., Sandholm, N., Tarnow, L., Rossing, P., Lajer, M., Groop, P. H., Maxwell, A. P., Mcknight, A. J., and the GENIE Consortium, GENIE Consortium
- Abstract
Aim: To evaluate the association with diabetic kidney disease of single nucleotide polymorphisms (SNPs) that may contribute to mitochondrial dysfunction. Methods: The mitochondrial genome and 1039 nuclear genes that are integral to mitochondrial function were investigated using a case (n = 823 individuals with diabetic kidney disease) vs. control (n = 903 individuals with diabetes and no renal disease) approach. All people included in the analysis were of white European origin and were diagnosed with Type 1 diabetes before the age of 31 years. Replication was conducted in 5093 people with similar phenotypes to those of the discovery collection. Association analyses were performed using the plink genetic analysis toolset, with adjustment for relevant covariates. Results: A total of 25 SNPs were evaluated in the mitochondrial genome, but none were significantly associated with diabetic kidney disease or end-stage renal disease. A total of 38 SNPs in nuclear genes influencing mitochondrial function were nominally associated with diabetic kidney disease and 16 SNPS were associated with end-stage renal disease, secondary to diabetic kidney disease, with meta-analyses confirming the same direction of effect. Three independent signals (seven SNPs) were common to the replication data for both phenotypes with Type 1 diabetes and persistent proteinuria or end-stage renal disease. Conclusions: Our results suggest that SNPs in nuclear genes that influence mitochondrial function are significantly associated with diabetic kidney disease in a white European population. What's new?: Mitochondrial dysfunction has been identified in diabetic kidney disease, but relatively large-scale genetic and epigenetic studies focused on mitochondria have not yet been described. We report a novel case-control analysis, with independent replication, of genetic variation focused on the mitochondrial genome and 1039 nuclear genes that are important for mitochondrial function. Single nucleotide po
- Published
- 2015
25. Genetic Examination of SETD7 and SUV39H1/H2 Methyltransferases and the Risk of Diabetes Complications in Patients With Type 1 Diabetes
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Syreeni, A, El-Osta, A, Forsblom, C, Sandholm, N, Parkkonen, M, Tarnow, L, Parving, H-H, McKnight, AJ, Maxwell, AP, Cooper, ME, Groop, P-H, Syreeni, A, El-Osta, A, Forsblom, C, Sandholm, N, Parkkonen, M, Tarnow, L, Parving, H-H, McKnight, AJ, Maxwell, AP, Cooper, ME, and Groop, P-H
- Abstract
OBJECTIVE: Hyperglycemia plays a pivotal role in the development and progression of vascular complications, which are the major sources of morbidity and mortality in diabetes. Furthermore, these vascular complications often persist and progress despite improved glucose control, possibly as a result of prior episodes of hyperglycemia. Epigenetic modifications mediated by histone methyltransferases are associated with gene-activating events that promote enhanced expression of key proinflammatory molecules implicated in vascular injury. In this study, we investigated genetic polymorphisms of the SETD7, SUV39H1, and SUV39H2 methyltransferases as predictors of risk for micro- and macrovascular complications in type 1 diabetes. RESEARCH DESIGN AND METHODS: In the Finnish Diabetic Nephropathy Study (FinnDiane) cohort, 37 tagging single nucleotide polymorphisms (SNPs) were genotyped in 2,991 individuals with type 1 diabetes and diabetic retinopathy, diabetic nephropathy, and cardiovascular disease. Seven SNPs were genotyped in the replication cohorts from the Steno Diabetes Center and All Ireland/Warren 3/Genetics of Kidneys in Diabetes (GoKinD) U.K. study. RESULTS: In a meta-analysis, the minor T allele of the exonic SNP rs17353856 in the SUV39H2 was associated with diabetic retinopathy (genotypic odds ratio 0.75, P = 1.2 × 10(-4)). The same SNP showed a trend toward an association with diabetic nephropathy as well as cardiovascular disease in the FinnDiane cohort. CONCLUSIONS: Our findings propose that a genetic variation in a gene coding for a histone methyltransferase is protective for a diabetic microvascular complication. The pathophysiological implications of this polymorphism or other genetic variation nearby for the vascular complications of type 1 diabetes remain to be investigated.
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- 2011
26. P.246 - Association study reveals novel genetic risk factors associated with sporadic inclusion body myositis
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Johari, M., Arumilli, M., Sandholm, N., Lohi, H., Hackman, P., and Udd, B.
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- 2016
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27. Circulating ACE2 activity is increased in patients with type 1 diabetes and vascular complications.
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Soro-Paavonen A, Gordin D, Forsblom C, Rosengard-Barlund M, Waden J, Thorn L, Sandholm N, Thomas MC, Groop PH, and FinnDiane Study Group
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- 2012
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28. Additional file 2 of Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study
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Smyth, L. J., Kilner, J., Nair, V., Liu, H., Brennan, E., Kerr, K., Sandholm, N., Cole, J., Dahlström, E., Syreeni, A., Salem, R. M., Nelson, R. G., Looker, H. C., Wooster, C., Anderson, K., McKay, G. J., Kee, F., Young, I., Andrews, D., Forsblom, C., Hirschhorn, J. N., Godson, C., Groop, P. H., Maxwell, A. P., Susztak, K., Kretzler, M., Florez, J. C., and McKnight, A. J.
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3. Good health - Abstract
Additional file 2. Supplementary Figures.
29. Additional file 2 of Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study
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Smyth, L. J., Kilner, J., Nair, V., Liu, H., Brennan, E., Kerr, K., Sandholm, N., Cole, J., Dahlström, E., Syreeni, A., Salem, R. M., Nelson, R. G., Looker, H. C., Wooster, C., Anderson, K., McKay, G. J., Kee, F., Young, I., Andrews, D., Forsblom, C., Hirschhorn, J. N., Godson, C., Groop, P. H., Maxwell, A. P., Susztak, K., Kretzler, M., Florez, J. C., and McKnight, A. J.
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3. Good health - Abstract
Additional file 2. Supplementary Figures.
30. A genome-wide association study of diabetic kidney disease in subjects with type 2 diabetes
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van Zuydam, Natalie R, Ahlqvist, Emma, Sandholm, Niina, Deshmukh, Harshal, Rayner, N William, Abdalla, Moustafa, Ladenvall, Claes, Ziemek, Daniel, Fauman, Eric, Robertson, Neil R, Mckeigue, Paul M, Valo, Erkka, Forsblom, Carol, Harjutsalo, Valma, Perna, Annalisa, Rurali, Erica, Marcovecchio, M Loredana, Igo, Robert P, Salem, Rany M, Perico, Norberto, Lajer, Maria, Käräjämäki, Annemari, Imamura, Minako, Kubo, Michiaki, Takahashi, Atsushi, Sim, Xueling, Liu, Jianjun, van Dam, Rob M, Jiang, Guozhi, Tam, Claudia H T, Luk, Andrea O Y, Lee, Heung Man, Lim, Cadmon K P, Szeto, Cheuk Chun, Wing Yee, So, Chan, Juliana C N, Ang, Su Fen, Dorajoo, Rajkumar, Wang, Ling, Clara, Tan Si Hua, Mcknight, Amy-Jayne, Duffy, Seamus, Pezzolesi, Marcus G, Marre, Michel, Gyorgy, Beata, Hadjadj, Samy, Hiraki, Koivula, S, Uggeldahl, T, Forslund, T, Halonen, A, Koistinen, A, Koskiaho, P, Laukkanen, M, Saltevo, J, Tiihonen, M, Forsen, M, Granlund, H, Jonsson, Ac, Nyroos, B, Kinnunen, P, Orvola, A, Salonen, T, Vähänen, A, Paldanius, Kr, Riihelä, M, Ryysy, L, Laukkanen, Kh, Nyländen, P, Sademies, A, Anderson, S, Asplund, B, Byskata, U, Liedes, P, Kuusela, M, Virkkala, T, Nikkola, A, Ritola, E, Niska, Tm, Saarinen, H, Oukko-Ruponen, Se, Virtanen, T, Lyytinen, Va, Kari, Ph, Simonen, T, Kaprio, Sa, Kärkkäinen, J, Rantaeskola, B, Kääriäinen, Tp, Haaga, J, Pietiläinen, Al, Klemetti, S, Nyandoto, T, Rontu, E, Satuli-Autere, S, Toivonen, Kr, Lansimaki, Hv, Ahonen, R, Ivaska-Suomela, M, Jauhiainen, A, Laine, Mm, Pellonpää, T, Puranen, R, Airas, Ma, Laakso, J, Rautavaara, K, Erola, Rm, Jatkola, E, Lönnblad, Tr, Malm, A, Mäkelä, J, Rautamo, E, Hentunen, P, Lagerstam, J, Feodoroff, M, Gordin, D, Heikkilä, O, Hietala, K, Fagerudd, J, Korolainen, M, Kyllönen, L, Kytö, J, Lindh, S, Pettersson-Fernholm, K, Rosengård-Bärlund, M, Sandelin, A, Thorn, L, Tuomikangas, J, Vesisenaho, T, Wadén, J, Sipilä, V, Kalliomäki, Ft, Koskelainen, J, Nikkanen, R, Savolainen, N, Sulonen, H, Valtonen, E, Norvio, L, Hämäläinen, A, Toivanen, E, Parta, Ja, Pirttiniemi, I, Aranko, S, Ervasti, S, Kauppinen-Mäkelin, R, Kuusisto, A, Leppälä, T, Nikkilä, K, Pekkonen, L, Jokelainen, Ks, Kananen, K, Karjalainen, M, Kemppainen, P, Mankinen, Am, Reponen, A, Sankari, M, Suominen, P, Lappalainen, A, Liimatainen, M, Santaholma, J, Aimolahti, A, Huovinen, E, Ilkka, V, Lehtimäki, M, Pälikkö-Kontinen, E, Vanhanen, A, Koskinen, E, Siitonen, T, Huttunen, E, Ikäheimo, R, Karhapää, P, Kekäläinen, P, Laakso, M, Lakka, T, Lampainen, E, Moilanen, L, Tanskanen, S, Niskanen, L, Tuovinen, U, Vauhkonen, I, Voutilainen, E, Rcw, Ma, Chan, Jcn, Huang, Y, Lan, Hy, Lok, S, Tomlinson, B, Tsui, Skw, Yu, W, Yip, Kyl, Chan, Tf, Fan, X, So, Wy, Szeto, Cc, Tang, N, Luk, Ao, Tian, X, Jiang, G, Tam, Cht, Lee, Hm, Lim, Ckp, Chan, Kkh, Xie, F, Acw, Ng, Cheung, Gpy, Yeung, Mw, Mai, S, Zhang, S, Yu, P, Weng, M, Maxwell, Ap, Mcknight, Aj, Savage, Da, Walker, J, Thomas, S, Viberti, Gc, Boulton, Ajm, Marshall, S, Demaine, Ag, Millward, Ba, Bain, Sc, Sandholm, N, Forsblom, C, Harjutsalo, V, Mäkinen, Vp, Ahola, Aj, Dahlström, E, Lehto, M, Lithovius, R, Panduru, Nm, Parkkonen, M, Saraheimo, M, Söderlund, J, Soro-Paavonen, A, Syreeni, A, Thorn, Lm, Tolonen, N, Groop, Ph, Mckay, Gj, Salem, Rm, Isakova, T, Palmer, C, Guiducci, C, Taylor, A, Mirel, Db, Williams, Ww, Hirschhorn, Jn, Florez, Jc, Brennan, Ep, Sadlier, Dm, Martin, F, Godson, C, Mayer, L, Gubitosi-Klug, R, Bourne, P, Schutta, M, Lackaye, Me, Gregory, Ns, Kruger, D, Jones, Jk, Bhan, A, Golden, E, Aiello, L, Larkin, M, Nathan, D, Ziegler, G, Caulder, S, Pittman, C, Luttrell, L, Lopes-Virella, M, Johnson, M, Gunyou, K, Bergenstal, R, Vittetoe, B, Sivitz, W, Flaherty, N, Bantle, J, Hitt, S, Goldstein, D, Hainsworth, D, Cimino, L, Orchard, T, Wigley, C, Dagogo-Jack, S, Strowig, S, Raskin, P, Barnie, A, Zinman, B, Fahlstrom, R, Palmer, J, Harth, J, Driscoll, M, Mcdonald, C, Lipps Hagan, J, May, M, Levandoski, L, White, N, Gatcomb, P, Tamborlane, W, Adelman, D, Colson, S, Molitch, M, Lorenzi, G, Mudaliar, S, Johnsonbaugh, S, Miller, R, Canady, J, Schade, D, Bernal, Ml, Malone, J, Morrison, A, Martin, C, Herman, W, Pop-Busui, R, Cowie, C, Leschek, E, Cleary, P, Lachin, J, Braffett, B, Steffes, M, Arends, V, Blodi, B, Danis, R, Lawrence, D, Wabers, H, Soliman, E, Zhang, Zm, Campbell, C, Hensley, S, Keasler, L, Mark, M, Albertini, M, Boustany, C, Ehlgen, A, Gerl, M, Huber, J, Schölch, C, Zimdahl-Gelling, H, Groop, L, Agardh, E, Ahlqvist, E, Ajanki, T, Al Maghrabi, N, Almgren, P, Apelqvist, J, Bengtsson, E, Berglund, L, Björckbacka, H, Blom-Nilsson, U, Borell, M, Burström, A, Cilio, C, Cinthio, M, Dreja, K, Dunér, P, Engelbertsen, D, Fadista, J, Gomez, M, Goncalves, I, Hedblad, B, Hultgårdh, A, Johansson, Me, Kennbäck, C, Kravic, J, Ladenvall, C, Lernmark, Å, Lindholm, E, Ling, C, Luthman, H, Melander, O, Neptin, M, Nilsson, J, Nilsson, P, Nilsson, T, Nordin, G, Orho-Melander, M, Ottoson-Laakso, E, Persson, A, Persson, M, Persson, Må, Postma, J, Pranter, E, Rattik, S, Sterner, G, Tindberg, L, Wigren, M, Zetterqvist, A, Åkerlund, M, Ostling, G, Kanninen, T, Ahonen-Bishopp, A, Eliasson, A, Herrala, T, Tikka-Kleemola, P, Hamsten, A, Betsholtz, C, Björkholm, A, Foroogh, F, Genové, G, Gertow, K, Gigante, B, He, B, Leander, K, Mcleod, O, Nastase-Mannila, M, Patrakka, J, Silveira, A, Strawbridge, R, Tryggvason, K, Vikström, M, Ohrvik, J, Österholm, Am, Thorand, B, Gieger, C, Grallert, H, Ludwig, T, Nitz, B, Schneider, A, Wang-Sattler, R, Zierer, A, Remuzzi, G, Benigni, A, Donadelli, R, Lesti, Md, Noris, M, Perico, N, Perna, A, Piras, R, Ruggenenti, P, Rurali, E, Dunger, D, Chassin, L, Dalton, N, Deanfield, J, Horsford, J, Rice, C, Rudd, J, Walker, N, Whitehead, K, Wong, M, Colhoun, H, Adams, F, Akbar, T, Belch, J, Deshmukh, H, Dove, F, Ellingford, A, Farran, B, Ferguson, M, Henderson, G, Houston, G, Khan, F, Leese, G, Liu, Y, Livingstone, S, Looker, H, Mccann, M, Mcgurnaghan, S, Morris, A, Newton, D, Pearson, E, Reekie, G, Smith, N, Shore, A, Aizawa, K, Ball, C, Bellenger, N, Casanova, F, Frayling, T, Gates, P, Gooding, K, Hattersley, A, Ling, R, Mawson, D, Shandas, R, Strain, D, Thorn, C, Smith, U, Hammarstedt, A, Häring, H, Pedersen, O, Sesti, G, Fagerholm, E, Toppila, I, Valo, E, Salomaa, V, Havulinna, A, Kristiansson, K, Okamo, P, Peltola, T, Perola, M, Pietilä, A, Ripatti, S, Taimi, M, Ylä-Herttuala, S, Babu, M, Dijkstra, M, Gurzeler, E, Huusko, J, Kholová, I, Merentie, M, Poikolainen, M, Mccarthy, M, Groves, C, Juliusdottir, T, Karpe, F, Lagou, V, Rayner, W, Robertson, N, van Zuydam, N, Cobelli, C, Di Camillo, B, Finotello, F, Sambo, F, Toffolo, G, Trifoglio, E, Bellazzi, R, Barbarini, N, Bucalo, M, Larizza, C, Magni, P, Malovini, A, Marini, S, Mulas, F, Quaglini, S, Sacchi, L, Vitali, F, Ferrannini, E, Boldrini, B, Kozakova, M, Mari, A, Morizzo, C, Mota, L, Natali, A, Palombo, C, Venturi, E, Walker, M, Patrono, C, Pagliaccia, F, Rocca, B, Nuutila, P, Haukkala, J, Knuuti, J, Roivainen, A, Saraste, A, Mckeague, P, Colombo, M, Steckel-Hamann, B, Bokvist, K, Shankar, S, Thomas, M, Gan, Lm, Heinonen, S, Jönsson-Rylander, Ac, Momo, R, Schnecke, V, Unwin, R, Walentinsson, A, Whatling, C, Nogoceke, E, Pacheco, Gd, Formentini, I, Schindler, T, Tortoli, P, Bassi, L, Boni, E, Dallai, A, Guidi, F, Lenge, M, Matera, R, Ramalli, A, Ricci, S, Viti, J, Jablonka, B, Crowther, D, Gassenhuber, J, Hess, S, Hubschle, T, Juretschke, Hp, Rutten, H, Sadowski, T, Wohlfart, P, Brosnan, J, Clerin, V, Fauman, E, Hyde, C, Malarstig, A, Pullen, N, Tilley, M, Tuthill, T, Vangjeli, C, Linda T, Ziemek D., Ahluwalia, Tarunveer S, Almgren, Peter, Schulz, Christina-Alexandra, Orho-Melander, Marju, Linneberg, Allan, Christensen, Cramer, Witte, Daniel R, Grarup, Niels, Brandslund, Ivan, Melander, Olle, Paterson, Andrew D, Tregouet, David, Maxwell, Alexander P, Lim, Su Chi, Ronald C W, Ma, Tai, E Shyong, Maeda, Shiro, Lyssenko, Valeriya, Tuomi, Tiinamaija, Krolewski, Andrzej S, Rich, Stephen S, Hirschhorn, Joel N, Florez, Jose C, Dunger, David, Pedersen, Oluf, Hansen, Torben, Rossing, Peter, Remuzzi, Giuseppe, Brosnan, Mary Julia, Palmer, Colin N A, Groop, Per-Henrik, Colhoun, Helen M, Groop, Leif C, Mccarthy, Mark, I, Palombo, Carlo, Clinicum, Diabetes and Obesity Research Program, Research Programs Unit, Nefrologian yksikkö, Department of Medicine, Institute for Molecular Medicine Finland, Tiinamaija Tuomi Research Group, Endokrinologian yksikkö, Per Henrik Groop / Principal Investigator, Leif Groop Research Group, HUS Abdominal Center, HUS Internal Medicine and Rehabilitation, and Lee Kong Chian School of Medicine (LKCMedicine)
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0301 basic medicine ,Male ,endocrine system diseases ,Endocrinology, Diabetes and Metabolism ,LOCI ,Genome-wide association study ,Type 2 diabetes ,Bioinformatics ,Kidney Failure ,0302 clinical medicine ,Genome-wide analysis ,80 and over ,Diabetic Nephropathies ,Renal Insufficiency ,Chronic ,Genome-wide analysis, Type 2 Diabetes ,Aged, 80 and over ,RISK ,INSULIN-RESISTANCE ,diabetes ,Diabetes ,STAGE RENAL-DISEASE ,Single Nucleotide ,Middle Aged ,Type 2 Diabetes ,SUSCEPTIBILITY GENES ,Adult ,Aged ,Case-Control Studies ,Diabetes Mellitus, Type 2 ,Female ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Kidney Failure, Chronic ,Polymorphism, Single Nucleotide ,Renal Insufficiency, Chronic ,OBESITY ,BIOLOGICAL PATHWAYS ,nephropathy ,Medical genetics ,Type 2 ,kidney ,medicine.medical_specialty ,Diabetic Nephropathies/epidemiology ,Settore BIO/14 - FARMACOLOGIA ,Renal Insufficiency, Chronic/complications ,NEPHROPATHY ,SNP ,030209 endocrinology & metabolism ,Nephropathy ,03 medical and health sciences ,SDG 3 - Good Health and Well-being ,Diabetes mellitus ,Journal Article ,Diabetes Mellitus ,Internal Medicine ,medicine ,Medicine [Science] ,Polymorphism ,Diabetic Kidney Disease ,METAANALYSIS ,Genetic heterogeneity ,business.industry ,Diabetes Mellitus, Type 2/complications ,association ,Case-control study ,nutritional and metabolic diseases ,Kidney Failure, Chronic/complications ,FAT DISTRIBUTION ,medicine.disease ,030104 developmental biology ,3121 General medicine, internal medicine and other clinical medicine ,Microalbuminuria ,genetic ,business - Abstract
Identification of sequence variants robustly associated with predisposition to diabetic kidney disease (DKD) has the potential to provide insights into the pathophysiological mechanisms responsible. We conducted a genome-wide association study (GWAS) of DKD in type 2 diabetes (T2D) using eight complementary dichotomous and quantitative DKD phenotypes: the principal dichotomous analysis involved 5,717 T2D subjects, 3,345 with DKD. Promising association signals were evaluated in up to 26,827 subjects with T2D (12,710 with DKD). A combined T1D+T2D GWAS was performed using complementary data available for subjects with T1D, which, with replication samples, involved up to 40,340 subjects with diabetes (18,582 with DKD). Analysis of specific DKD phenotypes identified a novel signal near GABRR1 (rs9942471, P = 4.5 × 10-8) associated with microalbuminuria in European T2D case subjects. However, no replication of this signal was observed in Asian subjects with T2D or in the equivalent T1D analysis. There was only limited support, in this substantially enlarged analysis, for association at previously reported DKD signals, except for those at UMOD and PRKAG2, both associated with estimated glomerular filtration rate. We conclude that, despite challenges in addressing phenotypic heterogeneity, access to increased sample sizes will continue to provide more robust inference regarding risk variant discovery for DKD. ASTAR (Agency for Sci., Tech. and Research, S’pore) NMRC (Natl Medical Research Council, S’pore)
31. The impact of smoking on the effect of the rs4972593 genetic variant on end-stage renal disease.
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Feodoroff, M., Harjutsalo, V., Forsblom, C., Sandholm, N., and Groop, P.‐H.
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SMOKING ,CHRONIC kidney failure ,CONFIDENCE intervals ,GENETICS ,DATA analysis - Abstract
The article discusses the study that determined the potential combined effect of smoking and the rs4972593 genetic variant on end-stage renal disease development in people with Type 1 diabetes. Findings discussed include risk of end-stage renal disease increased by minor allele of rs972593 in female non-smokers compared to those who carried the common allele, and minor allele decreased risk of end-stage renal disease in male non-smokers compared to men who carried the common allele.
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- 2016
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32. Genetic studies of body mass index yield new insights for obesity biology
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Locke, Adam E, Kahali, Bratati, Croteau-Chonka, Damien C, Doney, Alex S F, He, Bing, Heikkilä, Outi, Hietala, Kustaa, Kytö, Janne, Lahermo, Päivi, Lehto, Markku, Österholm, Anne-May, Parkkonen, Maija, Pitkäniemi, Janne, Rosengård-Bärlund, Milla, Eklund, Niina, Saraheimo, Markku, Sarti, Cinzia, Söderlund, Jenny, Soro-Paavonen, Aino, Syreeni, Anna, Thorn, Lena M, Tikkanen, Heikki, Tolonen, Nina, Tryggvason, Karl, Tuomilehto, Jaakko, Estrada, Karol, Wadén, Johan, Gill, Geoffrey V, Prior, Sarah, Guiducci, Candace, Mirel, Daniel B, Taylor, Andrew, Hosseini, Mohsen, Parving, Hans-Henrik, Rossing, Peter, Tarnow, Lise, Eury, Elodie, Ladenvall, Claes, Alhenc-Gelas, François, Lefebvre, Pierre, Rigalleau, Vincent, Roussel, Ronan, Tregouet, David-Alexandre, Maestroni, Anna, Maestroni, Silvia, Falhammar, Henrik, Gu, Tianwei, Folkersen, Lasse, Möllsten, Anna, Cimponeriu, Dan, Mihai, Ioana, Mota, Maria, Mota, Eugen, Serafinceanu, Cristian, Stavarachi, Monica, Hanson, Robert L, Nelson, Robert G, Kretzler, Matthias, Fraser, Ross M, Colhoun, Helen M, Panduru, Nicolae Mircea, Gu, Harvest F, Brismar, Kerstin, Zerbini, Gianpaolo, Hadjadj, Samy, Marre, Michel, Groop, Leif, Lajer, Maria, Bull, Shelley B, Garcia, Melissa E, Waggott, Daryl, Paterson, Andrew D, Savage, David A, Bain, Stephen C, Martin, Finian, Hirschhorn, Joel N, Godson, Catherine, Florez, Jose C, Groop, Per-Henrik, Maxwell, Alexander P, Geller, Frank, Willer, Cristen J, Schmidt, Ellen M, Sengupta, Sebanti, Peloso, Gina M, Gustafsson, Stefan, Kanoni, Stavroula, Ganna, Andrea, Chen, Jin, Buchkovich, Martin L, Mora, Samia, Giedraitis, Vilmantas, Beckmann, Jacques S, Bragg-Gresham, Jennifer L, Chang, Hsing-Y, Demirkan, Ayşe, Den Hertog, Heleen M, Do, Ron, Donnelly, Louise A, Ehret, Georg B, Esko, Tõnu, Feitosa, Mary F, Gigante, Bruna, Ferreira, Teresa, Fischer, Krista, Fontanillas, Pierre, Freitag, Daniel F, Gurdasani, Deepti, Heikkilä, Kauko, Hyppönen, Elina, Isaacs, Aaron, Jackson, Anne U, Esko, Tonu, Go, Alan S, Johansson, Åsa, Johnson, Toby, Kaakinen, Marika, Kettunen, Johannes, Kleber, Marcus E, Li, Xiaohui, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Magnusson, Patrik K E, Mangino, Massimo, Golay, Alain, Mihailov, Evelin, Montasser, May E, Müller-Nurasyid, Martina, Nolte, Ilja M, O'Connell, Jeffrey R, Palmer, Cameron D, Perola, Markus, Petersen, Ann-Kristin, Sanna, Serena, Saxena, Richa, Goodall, Alison H, Service, Susan K, Shah, Sonia, Shungin, Dmitry, Sidore, Carlo, Song, Ci, Strawbridge, Rona J, Surakka, Ida, Tanaka, Toshiko, Teslovich, Tanya M, Thorleifsson, Gudmar, Gordon, Scott D, Van den Herik, Evita G, Voight, Benjamin F, Volcik, Kelly A, Waite, Lindsay L, Wong, Andrew, Wu, Ying, Zhang, Weihua, Absher, Devin, Asiki, Gershim, Barroso, Inês, Gorski, Mathias, Been, Latonya F, Bolton, Jennifer L, Bonnycastle, Lori L, Brambilla, Paolo, Burnett, Mary S, Cesana, Giancarlo, Dimitriou, Maria, Doring, Angela, Elliott, Paul, Grabe, Hans-Jörgen, Epstein, Stephen E, Eyjolfsson, Gudmundur Ingi, Goodarzi, Mark O, Grallert, Harald, Gravito, Martha L, Groves, Christopher J, Hallmans, Göran, Hartikainen, Anna-Liisa, Hayward, Caroline, Hernandez, Dena, Hicks, Andrew A, Holm, Hilma, Hung, Yi-Jen, Illig, Thomas, Jones, Michelle R, Kaleebu, Pontiano, Kastelein, John J P, Khaw, Kay-Tee, Kim, Eric, Grammer, Tanja B, Klopp, Norman, Komulainen, Pirjo, Kumari, Meena, Langenberg, Claudia, Lehtimaki, Terho, Lin, Shih-Yi, Lindstrom, Jaana, Loos, Ruth J F, Mach, François, McArdle, Wendy L, Gräßler, Jürgen, Meisinger, Christa, Mitchell, Braxton D, Muller, Gabrielle, Nagaraja, Ramaiah, Narisu, Narisu, Nieminen, Tuomo V M, Nsubuga, Rebecca N, Olafsson, Isleifur, Ong, Ken K, Palotie, Aarno, Grönberg, Henrik, Papamarkou, Theodore, Pomilla, Cristina, Pouta, Anneli, Rader, Daniel J, Reilly, Muredach P, Ridker, Paul M, Rivadeneira, Fernando, Rudan, Igor, Ruokonen, Aimo, Samani, Nilesh, Fall, Tove, Scharnagl, Hubert, Seeley, Janet, Silander, Kaisa, Stančáková, Alena, Stirrups, Kathleen, Swift, Amy J, Tiret, Laurence, Uitterlinden, Andre G, van Pelt, L Joost, Vedantam, Sailaja, Gusto, Gaëlle, Wainwright, Nicholas, Wijmenga, Cisca, Wild, Sarah H, Willemsen, Gonneke, Wilsgaard, Tom, Wilson, James F, Young, Elizabeth H, Zhao, Jing Hua, Adair, Linda S, Arveiler, Dominique, Haessler, Jeffrey, Assimes, Themistocles L, Bandinelli, Stefania, Bennett, Franklyn, Bochud, Murielle, Boehm, Bernhard O, Boomsma, Dorret I, Borecki, Ingrid B, Bornstein, Stefan R, Bovet, Pascal, Burnier, Michel, Hall, Per, Campbell, Harry, Chakravarti, Aravinda, Chambers, John C, Chen, Yii-Der Ida, Collins, Francis S, Cooper, Richard S, Danesh, John, Dedoussis, George, de Faire, Ulf, Feranil, Alan B, Haller, Toomas, Ferrieres, Jean, Ferrucci, Luigi, Freimer, Nelson B, Gieger, Christian, Groop, Leif C, Gudnason, Vilmundur, Gyllensten, Ulf, Hamsten, Anders, Harris, Tamara B, Hingorani, Aroon, Hallmans, Goran, Hofman, Albert, Hovingh, G Kees, Hsiung, Chao Agnes, Humphries, Steve E, Hunt, Steven C, Hveem, Kristian, 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EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Eriksson, J., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Peacock, M., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., van Meurs JB., Weedon, MN., Wichmann, H., Young, L., Bierut, LJ., Boyd, HA., Econs, MJ., Van T'Hooft, Ferdinand M., Njølstad, Inger, Abecasis, Gonçalo R., Barroso, Inɥ, The MIGEN Consortium, Investigator, Casari, GIORGIO NEVIO, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Landsteiner Laboratory, Clinical Haematology, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life 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Wright, A, Zhang, Q, Brennan, E, Choi, M, Dastani, Z, Drong, A, Eriksson, P, Franco-Cereceda, A, Gadin, J, Gharavi, A, Goddard, M, Handsaker, R, Huang, J, Karpe, F, Kathiresan, S, Keildson, S, Kiryluk, K, Kubo, M, Lee, J, Liang, L, Lifton, R, Ma, B, Mccarroll, S, Mcknight, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Okada, Y, Perry, J, Dorajoo, R, Reinmaa, E, Salem, R, Sandholm, N, Scott, R, Stolk, L, Takahashi, A, Van't Hooft, F, Vinkhuyzen, A, Westra, H, Zheng, W, Zondervan, K, Heath, A, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Bovet, P, Campbell, H, Caulfield, M, Cesana, G, Chakravarti, A, Chasman, D, Chines, P, Collins, F, Crawford, D, Cupples, L, Cusi, D, Danesh, J, de Faire, U, Den Ruijter, H, Dominiczak, A, Erbel, R, Erdmann, J, Eriksson, J, Farrall, M, Felix, S, Ferrannini, E, Ferrieres, J, Ford, I, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gejman, P, Gieger, C, Gottesman, O, Gudnason, V, Gyllensten, U, Hall, A, 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A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Freitag, D, Gurdasani, D, Heikkila, K, Johnson, T, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Teslovich, T, Van den Herik, E, Volcik, K, Wu, Y, Asiki, G, Been, L, Burnett, M, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Khaw, K, Kim, E, Komulainen, P, Lin, S, Narisu, N, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Young, E, Bennett, F, Boomsma, D, Burnier, M, Feranil, A, Freimer, N, Hsiung, C, Kesaniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Meneton, P, Moilanen, L, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton-Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sober, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjogren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw-Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland-Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Brown, M, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Staessen, J, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Smith, G, Raffel, L, Yao, J, Schwartz, S, Ikram, M, W, L, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace-Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala-Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Wurtz, P, Ong, R, Dorr, M, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska-Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Guo, X, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, Palmer, L, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Alizadeh, B, de Boer, R, Boezen, H, Hillege, H, van der Klauw, M, Ormel, J, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Rasmussen-Torvik, L, Lecoeur, C, Johnson, P, Sennblad, B, Salo, P, Timpson, N, Evans, D, St Pourcain, B, Bielak, L, Horikoshi, M, Navarro, P, Raychaudhuri, S, Chen, H, Rybin, D, Willems, S, Song, K, An, P, Marullo, L, Jansen, H, Pankow, J, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Small, K, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Penninx, B, Toenjes, A, Peyser, P, Korner, A, Dupuis, J, Cucca, F, Balkau, B, Bouatia-Naji, N, Purcell, S, Musunuru, K, Ardissino, D, Mannucci, P, Anand, S, Engert, J, Morgan, T, Spertus, J, Stoll, M, Girelli, D, Mckeown, P, Patterson, C, Merlini, P, Berzuini, C, Bernardinelli, L, Peyvandi, F, Tubaro, M, Celli, P, Fetiveau, R, Marziliano, N, Casari, G, Galli, M, Ribichini, F, Rossi, M, Bernardi, F, Zonzin, P, Piazza, A, Yee, J, Friedlander, Y, Marrugat, J, Subirana, I, Sala, J, Ramos, R, Williams, G, Nathan, D, Macrae, C, Berglund, G, Asselta, R, Duga, S, Spreafico, M, Daly, M, Nemesh, J, Korn, J, Surti, A, Gianniny, L, Parkin, M, Burtt, N, Gabriel, S, Wright, B, Ball, S, Schunkert, I, Linsel-Nitschke, P, Lieb, W, Fischer, M, Grosshennig, A, Preuss, M, Scholz, M, Chen, Z, Wilensky, R, Matthai, W, Qasim, A, Hakonarson, H, Devaney, J, Pichard, A, Kent, K, Satler, L, Lindsay, J, Waksman, R, Knouff, C, Scheffold, T, Berger, K, Huge, A, Martinelli, N, Olivieri, O, Corrocher, R, Xie, C, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, Di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Yang, T, Higashio, J, Williams, R, Nato, A, Ambite, J, Deelman, E, Manolio, T, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown-Gentry, K, Thornton-Wells, T, Dumitrescu, L, Bush, W, Mitchell, S, Goodloe, R, Wilson, S, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Spencer, K, Pendergrass, S, Le Marchand, L, Park, L, Tiirikainen, M, Kolonel, L, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Anderson, G, Carlson, C, Prentice, R, Lacroix, A, Wu, C, Carty, C, Rosse, S, Young, A, Kocarnik, J, Lin, Y, Jackson, R, Duggan, D, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hankinson, S, Hass, M, Janssens, A, Karasik, D, Keyzer, J, Kiel, D, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Melzer, D, Newman, A, Pare, G, Peeters, P, Pop, V, Raikkonen, K, Salumets, A, Stacey, S, Starr, J, Stathopoulou, M, Styrkarsdottir, U, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Widen, E, Wijnands-Van Gent, C, Yerges-Armstrong, L, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Streeten, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Koller, D, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Couper, D, Easton, D, Foroud, T, Kilpelainen, T, Li, S, Murray, S, Ness, A, Northstone, K, Peacock, M, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segre, A, Sovio, U, Srinivasan, S, Tammesoo, M, van Meurs, J, Young, L, Bierut, L, Econs, M, The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GLGC, The ICBP, The MAGIC Investigators, The MuTHER Consortium, The MIGen Consortium, The PAGE Consortium, The ReproGen Consortium, The GENIE Consortium, The International Endogene Consortium, Berndt, Sonja I, Justice, Anne E, Hyppönen, Elina Tuulikki, Epidemiology and Data Science, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
- Subjects
Male ,LOCI ,Genome-wide association study ,Continental Population Groups/genetics ,VARIANTS ,Body Mass Index ,Insulin Secretion ,Insulin ,Age Factor ,Adiposity ,ddc:616 ,Adipogenesis ,Genetic Predisposition to Disease/genetics ,Synapse ,3. Good health ,Continental Population Group ,Urological cancers Radboud Institute for Health Sciences [Radboudumc 15] ,GENOME-WIDE ASSOCIATIONPROVIDES INSIGHTSGLYCEMIC TRAITSLOCIMETAANALYSISVARIANTSINDIVIDUALSHIPPOCAMPALARCHITECTURETOPIRAMATE ,ddc:500 ,Adipogenesis/genetics ,Single Nucleotide/genetics ,Age Factors ,Continental Population Groups ,Energy Metabolism ,Europe ,Female ,Genetic Predisposition to Disease ,Glutamic Acid ,Humans ,Obesity ,Polymorphism, Single Nucleotide ,Quantitative Trait Loci ,Synapses ,Genome-Wide Association Study ,Multidisciplinary ,genetics [Adiposity] ,Human ,Socio-culturale ,genetics [Energy Metabolism] ,ta3111 ,genetic, body mass index, obesity ,SDG 3 - Good Health and Well-being ,GLYCEMIC TRAITS ,genetics [Continental Population Groups] ,Genetic variability ,Polymorphism ,GENOME-WIDE ASSOCIATION ,genetics [Adipogenesis] ,METAANALYSIS ,Genetic association ,Adipogenesi ,genetics [Quantitative Trait Loci] ,ta1184 ,metabolism [Glutamic Acid] ,ta1182 ,PATHWAYS ,metabolism [Synapses] ,ta3121 ,medicine.disease ,metabolism [Insulin] ,Adiposity/genetics ,Clinical Medicine ,Quantitative Trait Loci/genetics ,Body mass index ,HUMAN HEIGHT ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,Synapses/metabolism ,Medizin ,Obesity/genetics ,Bioinformatics ,genetic basis ,Obesity/metabolism ,genetics [Obesity] ,body mass index (BMI) ,genetics [Genetic Predisposition to Disease] ,ethnology [Europe] ,2. Zero hunger ,Genetics ,ARCHITECTURE ,Genetics of obesity ,Medicine (all) ,Single Nucleotide ,Polymorphism, Single Nucleotide/genetics ,Insulin/metabolism/secretion ,Glutamic Acid/metabolism ,genetics [Polymorphism, Single Nucleotide] ,EXPRESSION ,Insulin/metabolism ,PROVIDES INSIGHTS ,genetics [Racial Groups] ,Biology ,Obesity/genetics/metabolism ,Europe/ethnology ,metabolism [Obesity] ,Mendelian randomization ,medicine ,Energy Metabolism/genetics ,body mass, genetic analysis, obesity ,Klinisk medicin - Abstract
Item does not contain fulltext Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 x 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for approximately 2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
- Published
- 2015
33. New genetic loci link adipose and insulin biology to body fat distribution
- Author
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Shungin, Dmitry, Winkler, Thomas W, Workalemahu, Tsegaselassie, Hartman, Catharina A, Duncan, Emma L, Ntzani, Evangelia E, Oei, Ling, Albagha, Omar M E, Amin, Najaf, Kemp, John P, Koller, Daniel L, Li, Guo, Liu, Ching-Ti, Minster, Ryan L, Hassinen, Maija, Moayyeri, Alireza, Vandenput, Liesbeth, Willner, Dana, Xiao, Su-Mei, Yerges-Armstrong, Laura M, Zheng, Hou-Feng, Alonso, Nerea, Eriksson, Joel, Kammerer, Candace M, Kaptoge, Stephen K, Hayward, Caroline, Leo, Paul J, Thorleifsson, Gudmar, Wilson, Scott G, Wilson, James F, Aalto, Ville, Alen, Markku, Aragaki, Aaron K, Aspelund, Thor, Center, Jacqueline R, Dailiana, Zoe, Heikkilä, Kauko, Duggan, David J, Garcia, Melissa, Garcia-Giralt, Natàlia, Giroux, Sylvie, Hallmans, Göran, Hocking, Lynne J, Husted, Lise Bjerre, Jameson, Karen A, Khusainova, Rita, Kim, Ghi Su, Herzig, Karl-Heinz, Kooperberg, Charles, Koromila, Theodora, Kruk, Marcin, Laaksonen, Marika, Lacroix, Andrea Z, Lee, Seung Hun, Leung, Ping C, Lewis, Joshua R, Masi, Laura, 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Kocarnik, Jonathan, Investigators, MAGIC, Lin, Yi, Jackson, Rebecca, Duggan, David, Kuller, Lew, Perry, John R B, He, Chunyan, Sulem, Patrick, Consortium, MuTHER, Barbalic, Maja, Broer, Linda, Byrne, Enda M, Ernst, Florian, Gudbjartsson, Daniel F, McArdle, Patick F, Consortium, PAGE, Porcu, Eleonora, van Wingerden, Sophie, Zhuang, Wei V, Albrecht, Eva, Randall, Joshua C, Consortium, ReproGen, Lauc, Lovorka Barac, Boban, Mladen, Broekmans, Frank J, Burri, Andrea, Chanock, Stephen J, Chen, Constance, Cornelis, Marilyn C, Amouyel, Philippe, Corre, Tanguy, Coviello, Andrea D, d'Adamo, Pio, Davies, Gail, Deary, Ian J, Dedoussis, George V Z, Deloukas, Panagiotis, Ebrahim, Shah, Eiriksdottir, Gudny, Eriksson, Johan G, Fauser, Bart C J M, Ferreli, Liana, Folsom, Aaron R, Garcia, Melissa E, Gasparini, Paolo, Bakker, Stephan Jl, Glazer, Nicole, Hall, Per, Haller, Toomas, Hankinson, Susan E, Hass, Merli, Heath, Andrew C, Beilby, John, Janssens, A Cecile J W, Kardia, Sharon L R, Keyzer, Jules, Kolcic, Ivana, Lahti, Jari, Lai, Sandra, Laisk, Triin, Laven, Joop S E, Liu, Jianjun, Lopez, Lorna M, Louwers, Yvonne V, Marongiu, Mara, Blangero, John, Klaric, Irena Martinovic, Masciullo, Corrado, McKnight, Barbara, Medland, Sarah E, Melzer, David, Newman, Anne B, Paré, Guillaume, Peeters, Petra H M, Pistis, Giorgio, Plump, Andrew S, Pop, Victor J M, Räikkönen, Katri, Sala, Cinzia, Salumets, Andres, Smith, Jennifer A, Stacey, Simon N, Starr, John M, Stathopoulou, Maria G, Styrkarsdottir, Unnur, Tenesa, Albert, Scherag, André, Toniolo, Daniela, Tryggvadottir, Laufey, Tsui, Kim, Ulivi, Sheila, van Dam, Rob M, van Gils, Carla H, van Nierop, Peter, Vink, Jacqueline M, Voorhuis, Marlies, Waeber, Gérard, Wallaschofski, Henri, Wichmann, H Erich, Widen, Elisabeth, Wijnands-van Gent, Colette J M, Claudi-Boehm, Simone, Zgaga, Lina, Zygmunt, Marek, Arnold, Alice M, Buring, Julie E, Crisponi, Laura, Demerath, Ellen W, Hu, Frank B, Hunter, David J, Launer, Lenore J, Crawford, Dana C, 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Haessler, J., Kocarnik, J., Lin, Y., Jackson, R., Duggan, D., Kuller, L., Stolk, L., He, C., Sulem, P., Barbalic, M., Broer, L., Byrne, EM., Gudbjartsson, DF., McArdle, PF., Porcu, E., van Wingerden, S., Zhuang, W., Albrecht, E., Alizadeh, BZ., Lauc, LB., Broekmans, FJ., Burri, A., Chanock, SJ., Chen, C., Corre, T., Coviello, AD., d'Adamo, P., Davies, G., Deary, IJ., Ebrahim, S., Fauser, BC., Ferreli, L., Folsom, AR., Garcia, ME., Hall, P., Haller, T., Hankinson, SE., Hass, M., Heath, AC., Janssens, AC., Keyzer, J., Lahti, J., Lai, S., Laisk, T., Laven, JS., Liu, J., Lopez, LM., Louwers, YV., Marongiu, M., Klaric, IM., Masciullo, C., McKnight, B., Medland, SE., Melzer, D., Newman, AB., Paré, G., Peeters, PH., Plump, AS., Pop, VJ., Räikkönen, K., Salumets, A., Smith, JA., Stacey, SN., Starr, JM., Stathopoulou, MG., Tenesa, A., Thorand, B., Tryggvadottir, L., Tsui, K., van Dam RM., van Gils CH., van Nierop, P., Vink, JM., Voorhuis, M., Wallaschofski, H., Widen, E., Wijnands-van Gent CJ., Zgaga, L., Zygmunt, M., Arnold, AM., Buring, JE., Crisponi, L., Demerath, EW., Hunter, DJ., Schlessinger, D., Murray, A., Murabito, JM., Visser, JA., Lunetta, KL., Elks, CE., Cousminer, DL., Feenstra, B., Lin, P., van Wingerden SW., Smith, EN., Warrington, NM., Alavere, H., Barroso, I., Berenson, GS., Blackburn, H., Busonero, F., Chen, W., Couper, D., Easton, DF., Foroud, T., Geller, F., Hernandez, DG., Kilpeläinen, TO., Li, S., Melbye, M., Murray, JC., Murray, SS., Nelis, M., Ness, AR., Northstone, K., Pennell, CE., Pharoah, P., Rafnar, T., Rice, JP., Ring, SM., Schork, NJ., Segrè, AV., Sovio, U., Srinivasan, SR., Tammesoo, ML., Tyrer, J., Weedon, MN., Wichmann, H., Young, L., Zhuang, WV., Bierut, LJ., Boyd, HA., Department of Clinical Sciences, Lund University [Lund], Genetic Epidemiology and Clinical Research Group, Umea University Hospital, Department of Odontology, Umeå University, Signalisation et Transports Ioniques Membranaires (STIM), Université de Poitiers-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Medical Sciences, Center for Biological Sequence Analysis [Lyngby], Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Laboratory of Image Science and Technology [Nanjing] (LIST), Southeast University [Jiangsu]-School of Computer Science and Engineering, Limnology, Ecology, Estonian Genome and Medicine, University of Tartu, Institute of Molecular and Cell Biology, Department of Medical Epidemiology and Biostatistics (MEB), Karolinska Institutet [Stockholm], Department of Medical Genetics, Université de Lausanne = University of Lausanne (UNIL), Institute of Medical Informatics, Biometry and Epidemiology, Universität Duisburg-Essen = University of Duisburg-Essen [Essen], Centre d'Immunologie de Marseille - Luminy (CIML), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Genetic Epidemiology Unit, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Space Sciences Laboratory [Berkeley] (SSL), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), Department of Biostatistics and Center for Statistical Genetics, University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Division of Statistical Genomics, Washington University School of Medicine, King‘s College London, Department of Medicine, University of Eastern Finland-Kuopio University Hospital, Molecular Genetics Section, University of Groningen [Groningen]-University Medical Centre Groningen, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (EGENODIA (GI3M)), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Geriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Department of Pharmacy Sciences, Creighton University Medical Center, Medical Department III, Universität Leipzig, Foie, métabolismes et cancer, Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Epidemiology, Erasmus Medical Centre, Netherlands Genomics Initiative (NGI), Netherlands Genomics Initiative, Institute of Epidemiology [Neuherberg] (EPI), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Department of Public Health and Clinical Medicine, Medstar Research Institute, Genetics and Pathology, Finnish Institute of Occupational Health, Epidemiology, University Medical Centre Groningen, Departments of Microbiology & Molecular Genetics and Molecular Biology & Biochemistry, University of California [Irvine] (UC Irvine), Department of Odontology, Cariology, Institute of Human Genetics, Helmholtz Zentrum München = German Research Center for Environmental Health, Génétique des maladies multifactorielles (GMM), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), Division of Cardiology, Geneva University Hospital (HUG), Department of Psychiatry and Psychotherapy, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Physics, Indian Institute of Technology Kanpur (IIT Kanpur), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Anaesthesia and Intensive care, Royal Aberdeen Childrens Hospital, UCL Institute of neurology, UCL Institute of Neurology, Human Genetics, The Wellcome Trust Sanger Institute [Cambridge], 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= University of Helsinki, Unit of Genetic Epidemiology and Bioinformatics, Department of Epidemiology, University Medical Center Groningen, Department of Pediatrics, Augusta University - Medical College of Georgia, University System of Georgia (USG)-University System of Georgia (USG), Department of Public Health, South Ostrobothnia Central Hospital, Department of Clinical and Preventive Medicine, Danube-University Krems, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), Institute of Public Health and Clinical Nutrition, University of Eastern Finland, MRC epidemiology Unit, Institute of Epidemiology, Clinical Genetics Branch, Division of Cancer Epidemiology & Genetics, National Institutes of Health [Bethesda] (NIH)-National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH), Department of Oncology, Queensland Brain Institute, University of Queensland [Brisbane], Harvard Reproductive Sciences Center and Reproductive Endocrine Unit, 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(BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), Endocrinology and Metabolism, The Churchill Hospital-Oxford Centre for Diabetes, Landsteiner Laboratory, Clinical Haematology, Other departments, ACS - Amsterdam Cardiovascular Sciences, Vascular Medicine, Lund University Diabetes Centre-Lund University [Lund], Université de Tours-Centre National de la Recherche Scientifique (CNRS)-Université de Poitiers, Technical University of Denmark [Lyngby] (DTU), Université de Lausanne (UNIL), Universität Duisburg-Essen [Essen], Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), University of California [Berkeley], University of California-University of California, Génomique Intégrative et Modélisation des Maladies Métaboliques (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Centre National de la Recherche Scientifique (CNRS), Universität Leipzig [Leipzig], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), University of California [Irvine] (UCI), German Research Center for Environmental Health, University of Bonn, Czech Academy of Sciences [Prague] (ASCR), Yale University School of Medicine, University of Oxford [Oxford], German Research Center for Environmental Health-Helmholtz-Zentrum München (HZM), Laval University, Laval University [Québec], Turku University Hospital, Lausanne university hospital, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Institut de biologie de Lille - IBL (IBLI), Université de Lille, Sciences et Technologies-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique (CNRS), University of Helsinki-University of Helsinki, Helmholtz-Zentrum München (HZM), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI)-Boston University [Boston] (BU), Internal Medicine, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Medical Informatics, Obstetrics & Gynecology, Lund University [Lund]-Lund University Diabetes Centre, Metabolic functional (epi)genomics and molecular mechanisms involved in type 2 diabetes and related diseases - UMR 8199 - UMR 1283 (GI3M), Institute of Medicine-University of Gothenburg (GU), Signalisation et Transports Ioniques Membranaires ( STIM ), Université de Poitiers-Centre National de la Recherche Scientifique ( CNRS ), Technical University of Denmark [Lyngby] ( DTU ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Department of Medical Epidemiology and Biostatistics ( MEB ), University of Lausanne, Centre d'Immunologie de Marseille - Luminy ( CIML ), Aix Marseille Université ( AMU ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Erasmus MC, Space Sciences Laboratory [Berkeley] ( SSL ), Génomique Intégrative et Modélisation des Maladies Métaboliques ( EGID ), Université de Lille-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Pasteur de Lille, Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Centre National de la Recherche Scientifique ( CNRS ) -Centre Hospitalier Régional Universitaire [Lille] ( CHRU Lille ), University of Leipzig, Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institute of Epidemiology [Neuherberg] ( EPI ), University of California [Irvine] ( UCI ), Génétique des maladies multifactorielles ( GMM ), Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Geneva University Hospital ( HUG ), Bonn Universität [Bonn], Indian Institute of Technology Kanpur ( IIT Kanpur ), The University of North Carolina at Chapel Hill, Université de Bonn, Wellcome Trust Sanger Institute, Harvard University School of Public Health, Czech Academy of Sciences [Prague] ( ASCR ), deCODE genetics, University of Groningen [Groningen]-University Medical Center Groningen-Beatrix Children's Hospital-Groningen Research Institute for Asthma and COPD, Yale School of Medicine, National Heart and Lung Institute ( NHLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Lille, Droit et Santé, University Medical Center Groningen, University of Cambridge [UK] ( CAM ), Wellcome Trust Centre for Human Genetics, University of Pisa [Pisa], University of Cambridge [UK] ( CAM ) -Institute of Metabolic Science, German Research Center for Environmental Health-Helmholtz-Zentrum München ( HZM ), University of Otago, University of Greifswald, University College of London [London] ( UCL ), National Institute for Health and Welfare, Queen's University [Belfast] ( QUB ), University of Hawaii at Manoa ( UHM ), University of Gothenburg ( GU ) -Institute of Medicine, Recherches en Psychopathologie, nouveaux symptômes et lien social ( EA 4050 ), Université de Poitiers-Université de Brest ( UBO ) -Université Catholique de l'Ouest-Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ), Institut de biologie de Lille - IBL ( IBLI ), Réseau International des Instituts Pasteur ( RIIP ) -Réseau International des Instituts Pasteur ( RIIP ) -Université de Lille, Droit et Santé-Centre National de la Recherche Scientifique ( CNRS ), Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), University Medicine Greifswald,-HELIOS Hospital Stralsund, Finland Institute for Molecular Medicine ( FIMM ), Georgia Prevention Institute, Netherlands Consortium for Healthy Aging, Helmholtz-Zentrum München ( HZM ), National Institutes of Health ( NIH ) -National Cancer Institute ( NIH ), Massachusetts General Hospital, Children's Hospital, Boston, Broad Institute, Cambridge, MA, The University of North Carolina at Chapel Hill-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Shungin D, Winkler TW, Adipogen, Consortium, Cardiogramplusc4d, Consortium, Ckdgen, Consortium, Gefos, Consortium, Genie, Consortium, Glgc, Icbp, International, Endogene Consortium, Lifelines, Cohort Study, Magic, Investigator, Muther, Consortium, Consortium, Page, ReproGen Consortium, Amouyel P, D'Adamo, ADAMO PIO, Gasparini, Paolo, Shungin, Dmitry, Winkler, Thomas W, Croteau-Chonka, Damien C, Ferreira, Teresa, Hypponen, Elina, Mohlke, Karen L, ADIPOGEN Consortium, Int Endogene Consortium, Lee Kong Chian School of Medicine (LKCMedicine), Epidemiologie, RS: CARIM - R3.02 - Hypertension and target organ damage, Université de Tours-Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Life Course Epidemiology (LCE), Cardiovascular Centre (CVC), Groningen Kidney Center (GKC), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Groningen Research Institute for Asthma and COPD (GRIAC), Groningen Institute for Organ Transplantation (GIOT), Lifestyle Medicine (LM), Center for Liver, Digestive and Metabolic Diseases (CLDM), Stem Cell Aging Leukemia and Lymphoma (SALL), Shungin, D, Winkler, T, Croteau Chonka, D, Ferreira, T, Locke, A, Mägi, R, Strawbridge, R, Pers, T, Fischer, K, Justice, A, Workalemahu, T, Wu, J, Buchkovich, M, Heard Costa, N, Roman, T, Drong, A, Song, C, Gustafsson, S, Day, F, Esko, T, Fall, T, Kutalik, Z, Luan, J, Randall, J, Scherag, A, Vedantam, S, Wood, A, Chen, J, Fehrmann, R, Karjalainen, J, Kahali, B, Liu, C, Schmidt, E, Absher, D, Amin, N, Anderson, D, Beekman, M, Bragg Gresham, J, Buyske, S, Demirkan, A, Ehret, G, Feitosa, M, Goel, A, Jackson, A, Johnson, T, Kleber, M, Kristiansson, K, Mangino, M, Leach, I, Medina Gomez, C, Palmer, C, Pasko, D, Pechlivanis, S, Peters, M, Prokopenko, I, Stanca'Kova', A, Sung, Y, Tanaka, T, Teumer, A, Van Vliet Ostaptchouk, J, Yengo, L, Zhang, W, Albrecht, E, Ärnlöv, J, Arscott, G, Bandinelli, S, Barrett, A, Bellis, C, Bennett, A, Berne, C, Blüher, M, Böhringer, S, Bonnet, F, Böttcher, Y, Bruinenberg, M, Carba, D, Caspersen, I, Clarke, R, Daw, E, Deelen, J, Deelman, E, Delgado, G, Doney, A, Eklund, N, Erdos, M, Estrada, K, Eury, E, Friedrich, N, Garcia, M, Giedraitis, V, Gigante, B, Go, A, Golay, A, Grallert, H, Grammer, T, Gräsler, J, Grewal, J, Groves, C, Haller, T, Hallmans, G, Hartman, C, Hassinen, M, Hayward, C, Heikkilä, K, Herzig, K, Helmer, Q, Hillege, H, Holmen, O, Hunt, S, Isaacs, A, Ittermann, T, James, A, Johansson, I, Juliusdottir, T, Kalafati, I, Kinnunen, L, Koenig, W, Kooner, I, Kratzer, W, Lamina, C, Leander, K, Lee, N, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Mach, F, Magnusson, P, Mahajan, A, Mcardle, W, Menni, C, Merger, S, Mihailov, E, Milani, L, Mills, R, Moayyeri, A, Monda, K, Mooijaart, S, Mühleisen, T, Mulas, A, Müller, G, Müller Nurasyid, M, Nagaraja, R, Nalls, M, Narisu, N, Glorioso, N, Nolte, I, Olden, M, Rayner, N, Renstrom, F, Ried, J, Robertson, N, Rose, L, Sanna, S, Scharnagl, H, Scholtens, S, Sennblad, B, Seufferlein, T, Sitlani, C, Smith, A, Stirrups, K, Stringham, H, Sundström, J, Swertz, M, Swift, A, Syvänen, A, Tayo, B, Thorand, B, Thorleifsson, G, Tomaschitz, A, Troffa, C, Van Oort, F, Verweij, N, Vonk, J, Waite, L, Wennauer, R, Wilsgaard, T, Wojczynski, M, Wong, A, Zhang, Q, Zhao, J, Brennan, E, Choi, M, Eriksson, P, Folkersen, L, Franco Cereceda, A, Gharavi, A, Hedman, A, Hivert, M, Huang, J, Kanoni, S, Karpe, F, Keildson, S, Kiryluk, K, Liang, L, Lifton, R, Ma, B, Mcknight, A, Mcpherson, R, Metspalu, A, Min, J, Moffatt, M, Montgomery, G, Murabito, J, Nicholson, G, Nyholt, D, Olsson, C, Perry, J, Reinmaa, E, Salem, R, Sandholm, N, Schadt, E, Scott, R, Stolk, L, Vallejo, E, Westra, H, Zondervan, K, Amouyel, P, Arveiler, D, Bakker, S, Beilby, J, Bergman, R, Blangero, J, Brown, M, Burnier, M, Campbell, H, Chakravarti, A, Chines, P, Claudi Boehm, S, Collins, F, Crawford, D, Danesh, J, De Faire, U, De Geus, E, Dörr, M, Erbel, R, Eriksson, J, Farrall, M, Ferrannini, E, Ferrières, J, Forouhi, N, Forrester, T, Franco, O, Gansevoort, R, Gieger, C, Gudnason, V, Haiman, C, Harris, T, Hattersley, A, Heliövaara, M, Hicks, A, Hingorani, A, Hoffmann, W, Hofman, A, Homuth, G, Humphries, S, Hyppönen, E, Illig, T, Jarvelin, M, Johansen, B, Jousilahti, P, Jula, A, Kaprio, J, Kee, F, Keinanen Kiukaanniemi, S, Kooner, J, Kooperberg, C, Kovacs, P, Kraja, A, Kumari, M, Kuulasmaa, K, Kuusisto, J, Lakka, T, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lyssenko, V, Männistö, S, Marette, A, Matise, T, Mckenzie, C, Mcknight, B, Musk, A, Möhlenkamp, S, Morris, A, Nelis, M, Ohlsson, C, Oldehinkel, A, Ong, K, Palmer, L, Penninx, B, Peters, A, Pramstaller, P, Raitakari, O, Rankinen, T, Rao, D, Rice, T, Ridker, P, Ritchie, M, Rudan, I, Salomaa, V, Samani, N, Saramies, J, Sarzynski, M, Schwarz, P, Shuldiner, A, Staessen, J, Steinthorsdottir, V, Stolk, R, Strauch, K, Tönjes, A, Tremblay, A, Tremoli, E, Vohl, M, Völker, U, Vollenweider, P, Wilson, J, Witteman, J, Adair, L, Bochud, M, Boehm, B, Bornstein, S, Bouchard, C, Cauchi, S, Caulfield, M, Chambers, J, Chasman, D, Cooper, R, Dedoussis, G, Ferrucci, L, Froguel, P, Grabe, H, Hamsten, A, Hui, J, Hveem, K, Jöckel, K, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, März, W, Munroe, P, Njolstad, I, Oostra, B, Pedersen, N, Perola, M, Pe'Russe, L, Peters, U, Power, C, Quertermous, T, Rauramaa, R, Rivadeneira, F, Saaristo, T, Saleheen, D, Sinisalo, J, Slagboom, P, Snieder, H, Spector, T, Thorsteinsdottir, U, Stumvoll, M, Tuomilehto, J, Uitterlinden, A, Uusitupa, M, Van Der Harst, P, Veronesi, G, Walker, M, Wareham, N, Watkins, H, Wichmann, H, Abecasis, G, Assimes, T, Berndt, S, Boehnke, M, Borecki, I, Deloukas, P, Franke, L, Frayling, T, Groop, L, Hunter, D, Kaplan, R, O'Connell, J, Qi, L, Schlessinger, D, Strachan, D, Stefansson, K, Van Duijn, C, Willer, C, Visscher, P, Yang, J, Hirschhorn, J, Zillikens, M, Mccarthy, M, Speliotes, E, North, K, Fox, C, Barroso, I, Franks, P, Ingelsson, E, Heid, I, Loos, R, Cupples, L, Lindgren, C, Mohlke, K, Dastani, Z, Timpson, N, Yuan, X, Henneman, P, Kizer, J, Lyytikainen, L, Fuchsberger, C, Small, K, Coassin, S, Lohman, K, Pankow, J, Uh, H, Wu, Y, Bidulescu, A, Rasmussen Torvik, L, Greenwood, C, Ladouceur, M, Grimsby, J, Manning, A, Mooser, V, Kapur, K, Frants, R, Willemsvan vanDijk, K, Willems, S, Psaty, B, Tracy, R, Brody, J, Chen, I, Viikari, J, Kähönen, M, Evans, D, St Pourcain, B, Sattar, N, Carlson, O, Egan, J, van Heemst, D, Kedenko, L, Nuotio, M, Loo, B, Kanaya, A, Haun, M, Klopp, N, Katsareli, E, Couper, D, Duncan, B, Kloppenburg, M, Borja, J, Musani, S, Guo, X, Semple, R, Teslovich, T, Allison, M, Redline, S, Buxbaum, S, Meulenbelt, I, Ballantyne, C, Hu, F, Paulweber, B, Florez, J, Smith, G, Siscovick, D, Kronenberg, F, van Duijn, C, Waterworth, D, Meigs, J, Dupuis, J, Richards, J, Willenborg, C, Thompson, J, Erdmann, J, Goldstein, B, König, I, Cazier, J, Johansson, Å, Hall, A, Lee, J, Grundberg, E, Havulinna, A, Ho, W, Hopewell, J, Eriksson, N, Lundmark, P, Lyytikäinen, L, Rafelt, S, Tikkanen, E, Van Zuydam, N, Voight, B, Ziegler, A, Altshuler, D, Balmforth, A, Braund, P, Burgdorf, C, Cox, D, Dimitriou, M, Do, R, El Mokhtari, N, Fontanillas, P, Hager, J, Han, B, Kang, H, Kessler, T, Knowles, J, Kolovou, G, Langford, C, Lokki, M, Lundmark, A, Meisinger, C, Melander, O, Maouche, S, Nikus, K, Peden, J, Rasheed, A, Rosinger, S, Rubin, D, Rumpf, M, Schäfer, A, Sivananthan, M, Stewart, A, Tan, S, Thorgeirsson, G, van der Schoot, C, Wagner, P, Wells, G, Wild, P, Yang, T, Basart, H, Boerwinkle, E, Brambilla, P, Cambien, F, Cupples, A, de Faire, U, Dehghan, A, Diemert, P, Epstein, S, Evans, A, Ferrario, M, Gauguier, D, Goodall, A, Hazen, S, Holm, H, Iribarren, C, Jang, Y, Kim, H, Laaksonen, R, Ouwehand, W, Parish, S, Park, J, Rader, D, Shah, S, Stark, K, Trégouët, D, Virtamo, J, Wallentin, L, Zimmermann, M, Nieminen, M, Hengstenberg, C, Sandhu, M, Pastinen, T, Hovingh, G, Zalloua, P, Siegbahn, A, Schreiber, S, Ripatti, S, Blankenberg, S, O'Donnell, C, Reilly, M, Collins, R, Kathiresan, S, Roberts, R, Schunkert, H, Pattaro, C, Köttgen, A, Garnaas, M, Böger, C, Chen, M, Tin, A, Taliun, D, Li, M, Gao, X, Gorski, M, Yang, Q, Hundertmark, C, Foster, M, O'Seaghdha, C, Glazer, N, Struchalin, M, Li, G, Johnson, A, Gierman, H, Hwang, S, Atkinson, E, Cornelis, M, Chouraki, V, Holliday, E, Sorice, R, Deshmukh, H, Ulivi, S, Chu, A, Murgia, F, Trompet, S, Imboden, M, Kollerits, B, Pistis, G, Launer, L, Aspelund, T, Eiriksdottir, G, Mitchell, B, Schmidt, H, Cavalieri, M, Rao, M, de Andrade, M, Turner, S, Ding, J, Andrews, J, Freedman, B, Döring, A, Kolcic, I, Zemunik, T, Boban, M, Minelli, C, Wheeler, H, Igl, W, Zaboli, G, Wild, S, Wright, A, Ellinghaus, D, Nöthlings, U, Jacobs, G, Biffar, R, Endlich, K, Ernst, F, Kroemer, H, Nauck, M, Stracke, S, Völzke, H, Aulchenko, Y, Polasek, O, Hastie, N, Vitart, V, Helmer, C, Wang, J, Ruggiero, D, Bergmann, S, Nikopensius, T, Province, M, Ketkar, S, Colhoun, H, Robino, A, Giulianini, F, Krämer, B, Portas, L, Ford, I, Buckley, B, Adam, M, Thun, G, Sala, C, Metzger, M, Mitchell, P, Ciullo, M, Kim, S, Gasparini, P, Pirastu, M, Jukema, J, Probst Hensch, N, Toniolo, D, Coresh, J, Schmidt, R, Kardia, S, Curhan, G, Gyllensten, U, Franke, A, Rettig, R, Parsa, A, Goessling, W, Kao, W, de Boer, I, Peralta, C, Akylbekova, E, Kramer, H, van der Harst, P, Arking, D, Franceschini, N, Hernandez, D, Townsend, R, Lumley, T, Kestenbaum, B, Haritunians, T, Waeber, G, Lu, X, Leak, T, Aasarød, K, Skorpen, F, Baumert, J, Devuyst, O, Mychaleckyj, J, Hallan, S, Navis, G, Shlipak, M, Bull, S, Paterson, A, Rotter, J, Beckmann, J, Dreisbach, A, Styrkarsdottir, U, Evangelou, E, Hsu, Y, Duncan, E, Ntzani, E, Oei, L, Albagha, O, Kemp, J, Koller, D, Minster, R, Vandenput, L, Willner, D, Xiao, S, Yerges Armstrong, L, Zheng, H, Alonso, N, Kammerer, C, Kaptoge, S, Leo, P, Wilson, S, Aalto, V, Alen, M, Aragaki, A, Center, J, Dailiana, Z, Duggan, D, Garcia Giralt, N, Giroux, S, Hocking, L, Husted, L, Jameson, K, Khusainova, R, Kim, G, Koromila, T, Kruk, M, Laaksonen, M, Lacroix, A, Lee, S, Leung, P, Lewis, J, Masi, L, Mencej Bedrac, S, Nguyen, T, Nogues, X, Patel, M, Prezelj, J, Scollen, S, Siggeirsdottir, K, Svensson, O, Trummer, O, van Schoor, N, Woo, J, Zhu, K, Balcells, S, Brandi, M, Cheng, S, Christiansen, C, Cooper, C, Frost, M, Goltzman, D, González Macías, J, Karlsson, M, Khusnutdinova, E, Koh, J, Kollia, P, Langdahl, B, Leslie, W, Lips, P, Ljunggren, Ö, Lorenc, R, Marc, J, Mellström, D, Obermayer Pietsch, B, Olmos, J, Pettersson Kymmer, U, Reid, D, Riancho, J, Rousseau, F, Tang, N, Urreizti, R, Van Hul, W, Zarrabeitia, M, Castano Betancourt, M, Herrera, L, Ingvarsson, T, Johannsdottir, H, Kwan, T, Li, R, Luben, R, Medina Gómez, C, Palsson, S, Reppe, S, Sigurdsson, G, van Meurs, J, Verlaan, D, Williams, F, Zhou, Y, Gautvik, K, Raychaudhuri, S, Cauley, J, Clark, G, Cummings, S, Danoy, P, Dennison, E, Eastell, R, Eisman, J, Jackson, R, Jones, G, Khaw, K, Mccloskey, E, Nandakumar, K, Peacock, M, Pols, H, Prince, R, Reid, I, Robbins, J, Sambrook, P, Sham, P, Tylavsky, F, Econs, M, Kung, A, Reeve, J, Streeten, E, Karasik, D, Ralston, S, Ioannidis, J, Kiel, D, Forsblom, C, Isakova, T, Mckay, G, Williams, W, Sadlier, D, Mäkinen, V, Swan, E, Boright, A, Ahlqvist, E, Keller, B, Huang, H, Ahola, A, Fagerholm, E, Gordin, D, Harjutsalo, V, He, B, Heikkilä, O, Hietala, K, Kytö, J, Lahermo, P, Lehto, M, Österholm, A, Parkkonen, M, Pitkäniemi, J, Rosengård Bärlund, M, Saraheimo, M, Sarti, C, Söderlund, J, Soro Paavonen, A, Syreeni, A, Thorn, L, Tikkanen, H, Tolonen, N, Tryggvason, K, Wadén, J, Gill, G, Prior, S, Guiducci, C, Mirel, D, Taylor, A, Hosseini, M, Parving, H, Rossing, P, Tarnow, L, Ladenvall, C, Alhenc Gelas, F, Lefebvre, P, Rigalleau, V, Roussel, R, Tregouet, D, Maestroni, A, Maestroni, S, Falhammar, H, Gu, T, Möllsten, A, Cimponeriu, D, Mihai, I, Mota, M, Mota, E, Serafinceanu, C, Stavarachi, M, Hanson, R, Nelson, R, Kretzler, M, Panduru, N, Gu, H, Brismar, K, Zerbini, G, Hadjadj, S, Marre, M, Lajer, M, Waggott, D, Savage, D, Bain, S, Martin, F, Godson, C, Groop, P, Maxwell, A, Sengupta, S, Peloso, G, Ganna, A, Mora, S, Chang, H, Den Hertog, H, Donnelly, L, Fraser, R, Freitag, D, Gurdasani, D, Kaakinen, M, Kettunen, J, Li, X, Montasser, M, Petersen, A, Saxena, R, Service, S, Sidore, C, Surakka, I, Van den Herik, E, Volcik, K, Asiki, G, Been, L, Bolton, J, Bonnycastle, L, Burnett, M, Cesana, G, Elliott, P, Eyjolfsson, G, Goodarzi, M, Gravito, M, Hartikainen, A, Hung, Y, Jones, M, Kaleebu, P, Kastelein, J, Kim, E, Komulainen, P, Lin, S, Nieminen, T, Nsubuga, R, Olafsson, I, Palotie, A, Papamarkou, T, Pomilla, C, Pouta, A, Ruokonen, A, Seeley, J, Silander, K, Stančáková, A, Tiret, L, van Pelt, L, Wainwright, N, Wijmenga, C, Willemsen, G, Young, E, Bennett, F, Boomsma, D, Bovet, P, Chen, Y, Feranil, A, Freimer, N, Hsiung, C, Järvelin, M, Kesäniemi, A, Koudstaal, P, Krauss, R, Kyvik, K, Martin, N, Meneton, P, Moilanen, L, Njølstad, I, Price, J, Sanghera, D, Sheu, W, Whitfield, J, Wolffenbuttel, B, Ordovas, J, Rich, S, Johnson, L, Larson, M, Levy, D, Newton Cheh, C, O'Reilly, P, Palmas, W, Rice, K, Snider, H, Tobin, M, Verwoert, G, Pihur, V, Heath, S, Sõber, S, Arora, P, Zhang, F, Lucas, G, Milaneschi, Y, Parker, A, Fava, C, Fox, E, Go, M, Sjögren, M, Vinay, D, Alexander, M, Tabara, Y, Shaw Hawkins, S, Whincup, P, Shi, G, Seielstad, M, Sim, X, Nguyen, K, Matullo, G, Gaunt, T, Onland Moret, N, Cooper, M, Platou, C, Org, E, Hardy, R, Dahgam, S, Palmen, J, Kuznetsova, T, Uiterwaal, C, Adeyemo, A, Ludwig, B, Tomaszewski, M, Tzoulaki, I, Palmer, N, Chang, Y, Steinle, N, Grobbee, D, Morrison, A, Najjar, S, Hadley, D, Connell, J, Day, I, Lawlor, D, Lawrence, R, Ongen, H, Li, Y, Young, J, Bis, J, Chaturvedi, N, Islam, M, Jafar, T, Kulkarni, S, Grässler, J, Howard, P, Guarrera, S, Ricceri, F, Emilsson, V, Plump, A, Weder, A, Sun, Y, Scott, L, Peltonen, L, Vartiainen, E, Brand, S, Wang, T, Burton, P, Artigas, M, Dong, Y, Wang, X, Zhu, H, Rudock, M, Heckbert, S, Smith, N, Wiggins, K, Doumatey, A, Shriner, D, Veldre, G, Viigimaa, M, Kinra, S, Prabhakaran, D, Tripathy, V, Langefeld, C, Rosengren, A, Thelle, D, Corsi, A, Singleton, A, Hilton, G, Salako, T, Iwai, N, Kita, Y, Ogihara, T, Ohkubo, T, Okamura, T, Ueshima, H, Umemura, S, Eyheramendy, S, Meitinger, T, Cho, Y, Scott, J, Sehmi, J, Hedblad, B, Nilsson, P, Stanèáková, A, Raffel, L, Yao, J, Schwartz, S, Ikram, M, Longstreth W., J, Mosley, T, Seshadri, S, Shrine, N, Wain, L, Morken, M, Laitinen, J, Zitting, P, Cooper, J, van Gilst, W, Janipalli, C, Mani, K, Yajnik, C, Mattace Raso, F, Lakatta, E, Orru, M, Scuteri, A, Ala Korpela, M, Kangas, A, Soininen, P, Tukiainen, T, Würtz, P, Ong, R, Galan, P, Hercberg, S, Lathrop, M, Zelenika, D, Zhai, G, Meschia, J, Sharma, P, Terzic, J, Kumar, M, Denniff, M, Zukowska Szczechowska, E, Wagenknecht, L, Fowkes, F, Charchar, F, Rotimi, C, Bots, M, Brand, E, Talmud, P, Nyberg, F, Laan, M, van der Schouw, Y, Casas, J, Vineis, P, Ganesh, S, Wong, T, Tai, E, Morris, R, Dominiczak, A, Marmot, M, Miki, T, Chandak, G, Zhu, X, Elosua, R, Soranzo, N, Sijbrands, E, Uda, M, Vasan, R, Anderson, C, Gordon, S, Guo, Q, Henders, A, Lambert, A, Kraft, P, Kennedy, S, Macgregor, S, Missmer, S, Painter, J, Roseman, F, Treloar, S, Wallace, L, Alizadeh, B, de Boer, R, Boezen, H, van der Klauw, M, Ormel, J, Postma, D, Rosmalen, J, Slaets, J, Lagou, V, Welch, R, Wheeler, E, Rehnberg, E, Lecoeur, C, Johnson, P, Hottenga, J, Salo, P, Bielak, L, Zhao, W, Horikoshi, M, Navarro, P, Chen, H, Rybin, D, Song, K, An, P, Marullo, L, Jansen, H, Edkins, S, Varga, T, Oksa, H, Antonella, M, Kong, A, Herder, C, Antti, J, Miljkovic, I, Atalay, M, Kiess, W, Smit, J, Campbell, S, Fowkes, G, Rathmann, W, Maerz, W, Watanabe, R, de Geus, E, Toenjes, A, Peyser, P, Körner, A, Cucca, F, Balkau, B, Bouatia Naji, N, Ahmadi, K, Ainali, C, Bataille, V, Bell, J, Buil, A, Dermitzakis, E, Dimas, A, Durbin, R, Glass, D, Hassanali, N, Hedman, Å, Ingle, C, Knowles, D, Krestyaninova, M, Lowe, C, Meduri, E, di Meglio, P, Montgomery, S, Nestle, F, Nica, A, Nisbet, J, O'Rahilly, S, Parts, L, Potter, S, Sekowska, M, Shin, S, Surdulescu, G, Travers, M, Tsaprouni, L, Tsoka, S, Wilk, A, Higashio, J, Williams, R, Nato, A, Ambite, J, Manolio, T, Hindorff, L, Heiss, G, Taylor, K, Avery, C, Graff, M, Lin, D, Quibrera, M, Cochran, B, Kao, L, Umans, J, Cole, S, Maccluer, J, Person, S, Gross, M, Fornage, M, Durda, P, Jenny, N, Patsy, B, Arnold, A, Buzkova, P, Haines, J, Murdock, D, Glenn, K, Brown Gentry, K, Thornton Wells, T, Dumitrescu, L, Jeff, J, Bush, W, Mitchell, S, Goodloe, R, Boston, J, Malinowski, J, Restrepo, N, Oetjens, M, Fowke, J, Zheng, W, Spencer, K, Pendergrass, S, Wilkens, L, Park, L, Tiirikainen, M, Kolonel, L, Lim, U, Cheng, I, Wang, H, Shohet, R, Stram, D, Henderson, B, Monroe, K, Schumacher, F, Anderson, G, Carlson, C, Prentice, R, Wu, C, Carty, C, Gong, J, Rosse, S, Young, A, Haessler, J, Kocarnik, J, Lin, Y, Kuller, L, He, C, Sulem, P, Barbalic, M, Broer, L, Byrne, E, Gudbjartsson, D, Mcardle, P, Porcu, E, van Wingerden, S, Zhuang, W, Lauc, L, Broekmans, F, Burri, A, Chanock, S, Chen, C, Corre, T, Coviello, A, D'Adamo, P, Davies, G, Deary, I, Ebrahim, S, Fauser, B, Ferreli, L, Folsom, A, Hall, P, Hankinson, S, Hass, M, Heath, A, Janssens, A, Keyzer, J, Lahti, J, Lai, S, Laisk, T, Laven, J, Liu, J, Lopez, L, Louwers, Y, Marongiu, M, Klaric, I, Masciullo, C, Medland, S, Melzer, D, Newman, A, Paré, G, Peeters, P, Pop, V, Räikkönen, K, Salumets, A, Smith, J, Stacey, S, Starr, J, Stathopoulou, M, Tenesa, A, Tryggvadottir, L, Tsui, K, van Dam, R, van Gils, C, van Nierop, P, Vink, J, Voorhuis, M, Wallaschofski, H, Widen, E, Wijnands van Gent, C, Zgaga, L, Zygmunt, M, Buring, J, Crisponi, L, Demerath, E, Murray, A, Visser, J, Lunetta, K, Elks, C, Cousminer, D, Feenstra, B, Lin, P, Smith, E, Warrington, N, Alavere, H, Berenson, G, Blackburn, H, Busonero, F, Chen, W, Easton, D, Foroud, T, Geller, F, Kilpeläinen, T, Li, S, Melbye, M, Murray, J, Murray, S, Ness, A, Northstone, K, Pennell, C, Pharoah, P, Rafnar, T, Rice, J, Ring, S, Schork, N, Segrè, A, Sovio, U, Srinivasan, S, Tammesoo, M, Tyrer, J, Weedon, M, Young, L, Bierut, L, Boyd, H, Psychiatry, NCA - Neurobiology of mental health, and EMGO - Lifestyle, overweight and diabetes
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Adipose Tissue/metabolism ,Male ,genetic association ,subcutaneous fat ,Transcription, Genetic ,Adipocytes ,Adipogenesis ,Adipose Tissue ,Age Factors ,Body Mass Index ,Continental Population Groups ,Epigenesis, Genetic ,Europe ,Female ,Genome, Human ,Humans ,Insulin ,Insulin Resistance ,Models, Biological ,Neovascularization, Physiologic ,Obesity ,Polymorphism, Single Nucleotide ,Quantitative Trait Loci ,Sex Characteristics ,Waist-Hip Ratio ,Body Fat Distribution ,Genome-Wide Association Study ,Multidisciplinary ,Insulin Resistance/genetics ,Genome-wide association study ,Continental Population Groups/genetics ,genetic analysis ,heritability ,gene cluster ,Science::Biological sciences::Human anatomy and physiology [DRNTU] ,0302 clinical medicine ,high density lipoprotein cholesterol ,Models ,genetics [Insulin Resistance] ,histone modification ,Age Factor ,insulin receptor ,0303 health sciences ,Adipocyte ,Human/genetics ,CARDIOGRAMplusC4D Consortium ,ADIPOGENIC DIFFERENTIATION ,genetic correlation ,body fat ,Continental Population Group ,priority journal ,5 trisphosphate 3 phosphatase ,GEFOS Consortium ,meta analysis (topic) ,Science & Technology - Other Topics ,ddc:500 ,transcription regulation ,Adipogenesis/genetics ,Single Nucleotide/genetics ,Human ,medicine.medical_specialty ,Waist ,phosphatidylinositol 3 ,European ,ta3111 ,genetic regulation ,Article ,developmental biology ,03 medical and health sciences ,MAGIC Investigators ,transcription initiation site ,SDG 3 - Good Health and Well-being ,Genetic ,genomics ,GLYCEMIC TRAITS ,genetics [Continental Population Groups] ,Polymorphism ,GENOME-WIDE ASSOCIATION ,Physiologic ,genetics [Adipogenesis] ,Adipocytes/metabolism ,Europe/ethnology ,Genome, Human/genetics ,Insulin/metabolism ,Neovascularization, Physiologic/genetics ,Obesity/genetics ,Polymorphism, Single Nucleotide/genetics ,Quantitative Trait Loci/genetics ,Transcription, Genetic/genetics ,Genetic/genetics ,Adipogenesi ,Science & Technology ,adiponectin ,[ SDV ] Life Sciences [q-bio] ,vasculotropin ,genetics [Quantitative Trait Loci] ,ta1184 ,Racial Groups ,ta1182 ,gene mapping ,ta3121 ,triacylglycerol blood level ,medicine.disease ,Biological ,major clinical study ,amino acid sequence ,metabolism [Insulin] ,Endocrinology ,metabolism [Adipocytes] ,genetic loci, insulin, body fat ,GLGC ,International Endogene Consortium ,metabolism [Adipose Tissue] ,Body mass index ,HUMAN HEIGHT ,Epigenesis ,LifeLines Cohort Study ,ReproGen Consortium ,BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA ,tissue level ,Physiologic/genetics ,[SDV]Life Sciences [q-bio] ,Medizin ,Adipose tissue ,low density lipoprotein cholesterol ,PAGE Consortium ,COMMON SNPS ,angiogenesis ,Waist–hip ratio ,genetics [Obesity] ,MESH: Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio ,single nucleotide polymorphism ,fat ,genetic variability ,molecular biology ,body mass index (BMI) ,ethnology [Europe] ,peroxisome proliferator activated receptor ,2. Zero hunger ,Genetics ,Genome ,Single Nucleotide ,waist circumference ,insulin ,phosphatidylinositol 3,4,5 trisphosphate 3 phosphatase ,triacylglycerol ,vasculotropin, developmental biology ,gene expression ,genome ,numerical model, adipocyte ,adipose tissue ,body fat distribution ,body mass ,female ,gene locus ,gene structure ,hip circumference ,human ,insulin resistance ,lipoprotein blood level ,male ,obesity ,protein protein interaction ,sex difference ,waist hip ratio ,Multidisciplinary Sciences ,genetics [Transcription, Genetic] ,genetics [Polymorphism, Single Nucleotide] ,ADIPOGen Consortium ,genetics [Neovascularization, Physiologic] ,Transcription ,SUSCEPTIBILITY LOCI ,General Science & Technology ,ICBP ,030209 endocrinology & metabolism ,Biology ,adipocyte ,MESH : Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism* Age Factors Body Fat Distribution* Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study* Humans Insulin/metabolism* Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics* Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio ,MESENCHYMAL STEM-CELLS ,GENIE Consortium ,SEXUAL-DIMORPHISM ,Insulin resistance ,Internal medicine ,medicine ,genetics [Genome, Human] ,ABDOMINAL ADIPOSITY ,Neovascularization ,030304 developmental biology ,FALSE DISCOVERY ,CKDGen Consortium ,Sex Characteristic ,MuTHER Consortium ,numerical model - Abstract
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P
- Published
- 2015
34. Whole-exome and whole-genome sequencing of 1064 individuals with type 1 diabetes reveals novel genes for diabetic kidney disease.
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Haukka JK, Antikainen AA, Valo E, Syreeni A, Dahlström EH, Lin BM, Franceschini N, Krolewski AS, Harjutsalo V, Groop PH, and Sandholm N
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- Humans, Male, Female, Adult, Whole Genome Sequencing, Polymorphism, Single Nucleotide, Receptors, Tumor Necrosis Factor blood, Methyltransferases blood, Exome Sequencing, Diabetes Mellitus, Type 1 genetics, Diabetic Nephropathies genetics
- Abstract
Aims/hypothesis: Diabetic kidney disease (DKD) is a severe diabetic complication that affects one third of individuals with type 1 diabetes. Although several genes and common variants have been shown to be associated with DKD, much of the predicted inheritance remains unexplained. Here, we performed next-generation sequencing to assess whether low-frequency variants, extending to a minor allele frequency (MAF) ≤10% (single or aggregated) contribute to the missing heritability in DKD., Methods: We performed whole-exome sequencing (WES) of 498 individuals and whole-genome sequencing (WGS) of 599 individuals with type 1 diabetes. After quality control, next-generation sequencing data were available for a total of 1064 individuals, of whom 541 had developed either severe albuminuria or end-stage kidney disease, and 523 had retained normal albumin excretion despite a long duration of type 1 diabetes. Single-variant and gene-aggregate tests for protein-altering variants (PAV) and protein-truncating variants (PTV) were performed separately for WES and WGS data and combined in a meta-analysis. We also performed genome-wide aggregate analyses on genomic windows (sliding window), promoters and enhancers using the WGS dataset., Results: In the single-variant meta-analysis, no variant reached genome-wide significance, but a suggestively associated common THAP7 rs369250 variant (p=1.50 × 10
-5 , MAF=49%) was replicated in the FinnGen general population genome-wide association study (GWAS) data for chronic kidney disease and DKD phenotypes. The gene-aggregate meta-analysis provided suggestive evidence (p<4.0 × 10-4 ) at four genes for DKD, of which NAT16 (MAFPAV ≤10%) and LTA (also known as TNFβ, MAFPAV ≤5%) are replicated in the FinnGen general population GWAS data. The LTA rs2229092 C allele was associated with significantly lower TNFR1, TNFR2 and TNFR3 serum levels in a subset of FinnDiane participants. Of the intergenic regions suggestively associated with DKD, the enhancer on chromosome 18q12.3 (p=3.94 × 10-5 , MAFvariants ≤5%) showed interaction with the METTL4 gene; the lead variant was replicated, and predicted to alter binding of the MafB transcription factor., Conclusions/interpretation: Our sequencing-based meta-analysis revealed multiple genes, variants and regulatory regions that were suggestively associated with DKD. However, as no variant or gene reached genome-wide significance, further studies are needed to validate the findings., (© 2024. The Author(s).)- Published
- 2024
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35. A Novel Role for FERM Domain-Containing Protein 3 (FRMD3) in CKD.
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Kennedy C, Doyle R, Gough O, Mcevoy C, Anallen SM, Hughes M, Sheng X, Crifo B, Andrews D, Gaffney A, Rodriguez J, Kennedy S, Dillon E, Crean D, Zhang W, Yi Z, Nair V, Susztak K, Hirschhorn J, Florez J, Groop PH, Sandholm N, Kretzler M, Mckay GJ, Mcknight AJ, Maxwell AP, Matallanas D, Dorman A, Martin F, Conlon PJ, Sadlier DM, Brennan E, and Godson C
- Abstract
Background: Currently there are limited methods to link disease severity and risk of disease progression in Chronic Kidney Disease (CKD). To better understand this potential relationship, we interrogated the renal transcriptomic profile of individuals with CKD with measures of CKD severity and identified FERM-domain containing protein 3 (FRMD3) as a candidate gene for follow-up study., Methods: RNA-seq was used to profile the transcriptome of CKD biopsies from the North Dublin Renal BioBank the results of which were correlated with clinical parameters. The potential function of FRMD3 was explored by interrogating the FRMD3 interactome and assessing the impact of lentiviral mediated FRMD3 knock down on human renal proximal tubule epithelial cells by assessing cell viability, metabolic activity, and structural markers., Results: We identified a subset of 93 genes which are significantly correlated with estimated glomerular filtration rate and percentage tubulointerstitial fibrosis at time of biopsy and with CKD progression 5 years post-biopsy. These results were validated against transcriptomic data from an external cohort of 432 nephrectomy samples. One of the top-ranking genes from this subset, FRMD3, has previously been associated with the risk of developing diabetic kidney disease. Interrogating the interactome of FRMD3 in tubule epithelial cells revealed interactions with cytoskeletal components of cell-cell junctions. Knockdown of FRMD3 expression in tubule epithelial cells resulted in increased pro-apoptotic activity within the cells as well as dysregulation of E-Cadherin., Conclusions: We have identified a panel of kidney-specific transcripts correlated with severity and progression of kidney disease, and from this have identified a possible role for FRMD3 in tubule cell structure and health., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Society of Nephrology.)
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- 2024
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36. Protein glycation products associate with progression of kidney disease and incident cardiovascular events in individuals with type 1 diabetes.
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Adeshara K, Gordin D, Antikainen AA, Harjutsalo V, Sandholm N, Lehto MJ, and Groop PH
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- Humans, Female, Male, Middle Aged, Risk Factors, Adult, Incidence, Risk Assessment, Kidney physiopathology, Time Factors, Albuminuria diagnosis, Albuminuria epidemiology, Albuminuria blood, Prognosis, Prospective Studies, Imidazoles, Ornithine analogs & derivatives, Diabetes Mellitus, Type 1 diagnosis, Diabetes Mellitus, Type 1 blood, Diabetes Mellitus, Type 1 complications, Disease Progression, Glycation End Products, Advanced blood, Glomerular Filtration Rate, Diabetic Nephropathies diagnosis, Diabetic Nephropathies blood, Diabetic Nephropathies epidemiology, Biomarkers blood, Cardiovascular Diseases diagnosis, Cardiovascular Diseases epidemiology, Cardiovascular Diseases blood, Fructosamine blood
- Abstract
Background: Despite improved glycemic treatment, the impact of glycation on pathological consequences may persist and contribute to adverse clinical outcomes in diabetes. In the present study we investigated the association between serum protein glycation products and progression of kidney disease as well as incident major adverse cardiovascular events (MACE) in type 1 diabetes., Methods: Fructosamine, advanced glycation end products (AGEs), and methylglyoxal-modified hydro-imidazolone (MG-H1) were measured from baseline serum samples in the FinnDiane study (n = 575). Kidney disease progression was defined as steep eGFR decline (> 3 mL/min/1.73 m
2 /year) or progression of albuminuria (from lower to higher stage of albuminuria). MACE was defined as acute myocardial infarction, coronary revascularization, cerebrovascular event (stroke), and cardiovascular death., Results: Fructosamine was independently associated with steep eGFR decline (OR 2.15 [95% CI 1.16-4.01], p = 0.016) in the fully adjusted model (age, sex, baseline eGFR). AGEs were associated with steep eGFR decline (OR 1.58 per 1 unit of SD [95% CI 1.07-2.32], p = 0.02), progression to end-stage kidney disease (ESKD) (HR 2.09 per 1 unit of SD [95% CI 1.43-3.05], p < 0.001), and pooled progression (to any stage of albuminuria) (HR 2.72 per 1 unit of SD [95% CI 2.04-3.62], p < 0.001). AGEs (HR 1.57 per 1 unit of SD [95% CI 1.23-2.00], p < 0.001) and MG-H1 (HR 4.99 [95% CI 0.98-25.55], p = 0.054) were associated with incident MACE. MG-H1 was also associated with pooled progression (HR 4.19 [95% CI 1.11-15.89], p = 0.035). Most AGEs and MG-H1 associations were no more significant after adjusting for baseline eGFR., Conclusions: Overall, these findings suggest that protein glycation products are an important risk factor for target organ damage in type 1 diabetes. The data provide further support to investigate a potential causal role of serum protein glycation in the progression of diabetes complications., (© 2024. The Author(s).)- Published
- 2024
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37. Whole-genome sequencing identifies variants in ANK1, LRRN1, HAS1, and other genes and regulatory regions for stroke in type 1 diabetes.
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Antikainen AA, Haukka JK, Kumar A, Syreeni A, Hägg-Holmberg S, Ylinen A, Kilpeläinen E, Kytölä A, Palotie A, Putaala J, Thorn LM, Harjutsalo V, Groop PH, and Sandholm N
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- Adult, Female, Humans, Male, Middle Aged, Membrane Proteins genetics, Polymorphism, Single Nucleotide, Regulatory Sequences, Nucleic Acid genetics, Ankyrins genetics, Diabetes Mellitus, Type 1 genetics, Diabetes Mellitus, Type 1 complications, Genetic Predisposition to Disease, Genome-Wide Association Study, Stroke genetics, Whole Genome Sequencing
- Abstract
Individuals with type 1 diabetes (T1D) carry a markedly increased risk of stroke, with distinct clinical and neuroimaging characteristics as compared to those without diabetes. Using whole-exome or whole-genome sequencing of 1,051 individuals with T1D, we aimed to find rare and low-frequency genomic variants associated with stroke in T1D. We analysed the genome comprehensively with single-variant analyses, gene aggregate analyses, and aggregate analyses on genomic windows, enhancers and promoters. In addition, we attempted replication in T1D using a genome-wide association study (N = 3,945) and direct genotyping (N = 3,263), and in the general population from the large-scale population-wide FinnGen project and UK Biobank summary statistics. We identified a rare missense variant on SREBF1 exome-wide significantly associated with stroke (rs114001633, p.Pro227Leu, p-value = 7.30 × 10
-8 ), which replicated for hemorrhagic stroke in T1D. Using gene aggregate analysis, we identified exome-wide significant genes: ANK1 and LRRN1 displayed replication evidence in T1D, and LRRN1, HAS1 and UACA in the general population (UK Biobank). Furthermore, we performed sliding-window analyses and identified 14 genome-wide significant windows for stroke on 4q33-34.1, of which two replicated in T1D, and a suggestive genomic window on LINC01500, which replicated in T1D. Finally, we identified a suggestively stroke-associated TRPM2-AS promoter (p-value = 5.78 × 10-6 ) with borderline significant replication in T1D, which we validated with an in vitro cell-based assay. Due to the rarity of the identified genetic variants, future replication of the genomic regions represented here is required with sequencing of individuals with T1D. Nevertheless, we here report the first genome-wide analysis on stroke in individuals with diabetes., (© 2024. The Author(s).)- Published
- 2024
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38. Integrated analysis of blood DNA methylation, genetic variants, circulating proteins, microRNAs, and kidney failure in type 1 diabetes.
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Chen Z, Satake E, Pezzolesi MG, Md Dom ZI, Stucki D, Kobayashi H, Syreeni A, Johnson AT, Wu X, Dahlström EH, King JB, Groop PH, Rich SS, Sandholm N, Krolewski AS, and Natarajan R
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- Humans, Male, Female, Renal Insufficiency genetics, Renal Insufficiency blood, MicroRNAs genetics, MicroRNAs blood, Adult, CpG Islands genetics, Diabetic Nephropathies genetics, Diabetic Nephropathies blood, Risk Factors, Diabetes Mellitus, Type 1 genetics, Diabetes Mellitus, Type 1 blood, Diabetes Mellitus, Type 1 complications, DNA Methylation genetics, Genetic Variation
- Abstract
Variation in DNA methylation (DNAmet) in white blood cells and other cells/tissues has been implicated in the etiology of progressive diabetic kidney disease (DKD). However, the specific mechanisms linking DNAmet variation in blood cells with risk of kidney failure (KF) and utility of measuring blood cell DNAmet in personalized medicine are not clear. We measured blood cell DNAmet in 277 individuals with type 1 diabetes and DKD using Illumina EPIC arrays; 51% of the cohort developed KF during 7 to 20 years of follow-up. Our epigenome-wide analysis identified DNAmet at 17 CpGs (5'-cytosine-phosphate-guanine-3' loci) associated with risk of KF independent of major clinical risk factors. DNAmet at these KF-associated CpGs remained stable over a median period of 4.7 years. Furthermore, DNAmet variations at seven KF-associated CpGs were strongly associated with multiple genetic variants at seven genomic regions, suggesting a strong genetic influence on DNAmet. The effects of DNAmet variations at the KF-associated CpGs on risk of KF were partially mediated by multiple KF-associated circulating proteins and KF-associated circulating miRNAs. A prediction model for risk of KF was developed by adding blood cell DNAmet at eight selected KF-associated CpGs to the clinical model. This updated model significantly improved prediction performance (c-statistic = 0.93) versus the clinical model (c-statistic = 0.85) at P = 6.62 × 10
-14 . In conclusion, our multiomics study provides insights into mechanisms through which variation of DNAmet may affect KF development and shows that blood cell DNAmet at certain CpGs can improve risk prediction for KF in T1D.- Published
- 2024
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39. Rate of Kidney Function Decline is Associated With Kidney and Heart Failure in Individuals With Type 1 Diabetes.
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Sandholm N, Valo E, Tuomilehto J, Harjutsalo V, and Groop PH
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Introduction: Diabetes is the most common cause of chronic kidney disease (CKD). Urinary albumin excretion rate (AER) and estimated glomerular filtration rate (eGFR) are commonly used to monitor the onset and progression of diabetic kidney disease (DKD). We studied if the preceding rate of kidney function decline, that is, the eGFR slope, is independently associated with incident clinical cardiorenal events., Methods: This study included longitudinal data for 2498 Finnish individuals with type 1 diabetes (T1D). The eGFR slope was calculated from 5 years preceding the study visit. Data on kidney failure, coronary heart disease (CHD), stroke, 3-point major adverse cardiovascular events (MACE), heart failure, and death were obtained from national registries. The associations between the eGFR slope and incident events were assessed with multivariable competing risk models during the average follow-up of 9.2 years., Results: The eGFR slopes were associated ( P ≤ 0.001) with all outcomes when adjusted for age, sex, and HbA1c. However, eGFR slope remained associated only with the composite outcome of kidney failure or death when the albuminuria group and eGFR at the study visit were included in the model ( P = 0.041). In addition, eGFR slope was independently associated with kidney failure in individuals without CKD (eGFR > 60 ml/min per 1.73 m
2 ; P = 0.044), and with heart failure in those with CKD ( P = 0.033). However, eGFR slope did not markedly improve the model C-index., Conclusion: The eGFR slope was independently associated with kidney failure in those without CKD, and with heart failure in those with CKD. However, it is unlikely to have major relevance for clinical practice when the current eGFR and albuminuria status are known., (© 2023 International Society of Nephrology. Published by Elsevier Inc.)- Published
- 2023
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40. Residual insulin secretion in individuals with type 1 diabetes in Finland: longitudinal and cross-sectional analyses.
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Harsunen M, Haukka J, Harjutsalo V, Mars N, Syreeni A, Härkönen T, Käräjämäki A, Ilonen J, Knip M, Sandholm N, Miettinen PJ, Groop PH, and Tuomi T
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- Adult, Adolescent, Child, Humans, Cross-Sectional Studies, Insulin Secretion, Finland epidemiology, C-Peptide, Insulin therapeutic use, Insulin metabolism, Diabetes Mellitus, Type 1 epidemiology, Diabetes Mellitus, Type 1 complications, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 complications
- Abstract
Background: Contrary to the presumption that type 1 diabetes leads to an absolute insulin deficiency, many individuals with type 1 diabetes have circulating C-peptide years after the diagnosis. We studied factors affecting random serum C-peptide concentration in individuals with type 1 diabetes and the association with diabetic complications., Methods: Our longitudinal analysis included individuals newly diagnosed with type 1 diabetes from Helsinki University Hospital (Helsinki, Finland) with repeated random serum C-peptide and concomitant glucose measurements from within 3 months of diagnosis and at least once later. The long-term cross-sectional analysis included data from participants from 57 centres in Finland who had type 1 diabetes diagnosed after 5 years of age, initiation of insulin treatment within 1 year from diagnosis, and a C-peptide concentration of less than 1·0 nmol/L (FinnDiane study) and patients with type 1 diabetes from the DIREVA study. We tested the association of random serum C-peptide concentrations and polygenic risk scores with one-way ANOVA, and association of random serum C-peptide concentrations, polygenic risk scores, and clinical factors with logistic regression., Findings: The longitudinal analysis included 847 participants younger than 16 years and 110 aged 16 years or older. In the longitudinal analysis, age at diagnosis strongly correlated with the decline in C-peptide secretion. The cross-sectional analysis included 3984 participants from FinnDiane and 645 from DIREVA. In the cross-sectional analysis, at a median duration of 21·6 years (IQR 12·5-31·2), 776 (19·4%) of 3984 FinnDiane participants had residual random serum C-peptide secretion (>0·02 nmol/L), which was associated with lower type 1 diabetes polygenic risk compared with participants without random serum C-peptide (p<0·0001). Random serum C-peptide was inversely associated with hypertension, HbA
1c , and cholesterol, but also independently with microvascular complications (adjusted OR 0·61 [95% CI 0·38-0·96], p=0·033, for nephropathy; 0·55 [0·34-0·89], p=0·014, for retinopathy)., Interpretation: Although children with multiple autoantibodies and HLA risk genotypes progressed to absolute insulin deficiency rapidly, many adolescents and adults had residual random serum C-peptide decades after the diagnosis. Polygenic risk of type 1 and type 2 diabetes affected residual random serum C-peptide. Even low residual random serum C-peptide concentrations seemed to be associated with a beneficial complications profile., Funding: Folkhälsan Research Foundation; Academy of Finland; University of Helsinki and Helsinki University Hospital; Medical Society of Finland; the Sigrid Juselius Foundation; the "Liv and Hälsa" Society; Novo Nordisk Foundation; and State Research Funding via the Helsinki University Hospital, the Vasa Hospital District, Turku University Hospital, Vasa Central Hospital, Jakobstadsnejdens Heart Foundation, and the Medical Foundation of Vaasa., Competing Interests: Declaration of interests P-HG has received investigator-initiated research grants from Eli Lilly and Roche, is an advisory board member for AbbVie, Astellas, AstraZeneca, Bayer, Boehringer Ingelheim, Cebix, Eli Lilly, Janssen, Medscape, Merck Sharp & Dohme, Mundipharma, Nestlé, Novartis, Novo Nordisk, and Sanofi; and has received lecture fees from AstraZeneca, Bayer, Boehringer Ingelheim, Eli Lilly, Elo Water, Genzyme, Merck Sharp & Dohme, Medscape, Novartis, Novo Nordisk, PeerVoice, Sanofi, and Sciarc. All other authors declare no competing interests., (Copyright © 2023 Elsevier Ltd. All rights reserved.)- Published
- 2023
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41. Genetic and epigenetic background of diabetic kidney disease.
- Author
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Sandholm N, Dahlström EH, and Groop PH
- Subjects
- Humans, Genome-Wide Association Study, Risk Factors, Epigenesis, Genetic, Diabetic Nephropathies genetics, Diabetes Complications genetics, Diabetes Mellitus genetics
- Abstract
Diabetic kidney disease (DKD) is a severe diabetic complication that affects up to half of the individuals with diabetes. Elevated blood glucose levels are a key underlying cause of DKD, but DKD is a complex multifactorial disease, which takes years to develop. Family studies have shown that inherited factors also contribute to the risk of the disease. During the last decade, genome-wide association studies (GWASs) have emerged as a powerful tool to identify genetic risk factors for DKD. In recent years, the GWASs have acquired larger number of participants, leading to increased statistical power to detect more genetic risk factors. In addition, whole-exome and whole-genome sequencing studies are emerging, aiming to identify rare genetic risk factors for DKD, as well as epigenome-wide association studies, investigating DNA methylation in relation to DKD. This article aims to review the identified genetic and epigenetic risk factors for DKD., Competing Interests: P-HG has received investigator-initiated research grants from Eli Lilly and Roche; is an advisory board member for AbbVie, Astellas, AstraZeneca, Bayer, Boehringer Ingelheim, Cebix, Eli Lilly, Janssen, Medscape, Merck Sharp & Dohme, Mundipharma, Nestlé, Novartis, Novo Nordisk, and Sanofi; and has received lecture fees from AstraZeneca, Boehringer Ingelheim, Eli Lilly, Elo Water, Genzyme, Merck Sharp & Dohme, Medscape, Novartis, Novo Nordisk, PeerVoice, Sanofi, and Sciarc. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Sandholm, Dahlström and Groop.)
- Published
- 2023
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42. Differential Methylation of Telomere-Related Genes Is Associated with Kidney Disease in Individuals with Type 1 Diabetes.
- Author
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Hill C, Duffy S, Kettyle LM, McGlynn L, Sandholm N, Salem RM, Thompson A, Swan EJ, Kilner J, Rossing P, Shiels PG, Lajer M, Groop PH, Maxwell AP, McKnight AJ, and On Behalf Of The Genie Consortium
- Subjects
- Humans, Aged, DNA Methylation genetics, Telomere genetics, Telomere metabolism, Diabetes Mellitus, Type 1 complications, Diabetes Mellitus, Type 1 genetics, Diabetic Nephropathies genetics, Diabetic Nephropathies metabolism, Kidney Failure, Chronic genetics
- Abstract
Diabetic kidney disease (DKD) represents a major global health problem. Accelerated ageing is a key feature of DKD and, therefore, characteristics of accelerated ageing may provide useful biomarkers or therapeutic targets. Harnessing multi-omics, features affecting telomere biology and any associated methylome dysregulation in DKD were explored. Genotype data for nuclear genome polymorphisms in telomere-related genes were extracted from genome-wide case-control association data (n = 823 DKD/903 controls; n = 247 end-stage kidney disease (ESKD)/1479 controls). Telomere length was established using quantitative polymerase chain reaction. Quantitative methylation values for 1091 CpG sites in telomere-related genes were extracted from epigenome-wide case-control association data (n = 150 DKD/100 controls). Telomere length was significantly shorter in older age groups ( p = 7.6 × 10
-6 ). Telomere length was also significantly reduced ( p = 6.6 × 10-5 ) in DKD versus control individuals, with significance remaining after covariate adjustment ( p = 0.028). DKD and ESKD were nominally associated with telomere-related genetic variation, with Mendelian randomisation highlighting no significant association between genetically predicted telomere length and kidney disease. A total of 496 CpG sites in 212 genes reached epigenome-wide significance ( p ≤ 10-8 ) for DKD association, and 412 CpG sites in 193 genes for ESKD. Functional prediction revealed differentially methylated genes were enriched for Wnt signalling involvement. Harnessing previously published RNA-sequencing datasets, potential targets where epigenetic dysregulation may result in altered gene expression were revealed, useful as potential diagnostic and therapeutic targets for intervention.- Published
- 2023
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43. Long-term favorable prognosis in late onset dominant distal titinopathy: Tibial muscular dystrophy.
- Author
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Lillback V, Savarese M, Sandholm N, Hackman P, and Udd B
- Subjects
- Humans, Aged, 80 and over, Retrospective Studies, Muscle, Skeletal pathology, Leg, Prognosis, Distal Myopathies genetics
- Abstract
Background and Purpose: Tibial muscular dystrophy (TMD) is a dominant late onset distal titinopathy. It was first described in Finnish patients 3 decades ago. TMD patients with several other TTN mutations occur in many European populations. In this retrospective study, we were able to obtain longitudinal follow-up data of the disease progression over 15 years in 137 TMD patients., Methods: We retrieved clinical data retrospectively from three examinations spanning a period of 15 years. The data were analyzed in R. Frequencies, percentages, and median values were used to describe data. Probability values were determined with the chi-squared test., Results: In the cohort, the first symptoms were walking difficulties (97.8%) and weakness in distal lower limbs (98.5%). The progression of the weakness in distal lower limbs was moderate, and in the proximal lower limbs and proximal upper limbs it was mild. The distal upper limbs were not affected. Magnetic resonance imaging results indicated fatty degeneration preferentially in lower leg anterior muscles, gluteus minimus, and hamstring muscles. Serum creatine kinase values in the cohort were mostly normal (40.7%) or mildly elevated (53.7%). The data suggest that 50% of patients need walking aids by the age of 88 years., Conclusions: Despite individual variability of severity, the overall disability due to walking difficulties and upper limb weakness remained moderate even at very advanced ages, and cardiomyopathy did not develop due to the titin defect alone. The acquired results promote the correct identification of TMD, and the obtained trajectories of disease evolution can be used as natural history data for any therapeutic intervention., (© 2023 European Academy of Neurology.)
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- 2023
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44. Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease.
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Smyth LJ, Dahlström EH, Syreeni A, Kerr K, Kilner J, Doyle R, Brennan E, Nair V, Fermin D, Nelson RG, Looker HC, Wooster C, Andrews D, Anderson K, McKay GJ, Cole JB, Salem RM, Conlon PJ, Kretzler M, Hirschhorn JN, Sadlier D, Godson C, Florez JC, Forsblom C, Maxwell AP, Groop PH, Sandholm N, and McKnight AJ
- Subjects
- Humans, DNA Methylation genetics, Epigenome, Epigenesis, Genetic, Biomarkers, DNA, Genome-Wide Association Study, CpG Islands, Diabetic Nephropathies genetics, Diabetes Mellitus, Type 1 complications, Diabetes Mellitus, Type 1 genetics
- Abstract
Type 1 diabetes affects over nine million individuals globally, with approximately 40% developing diabetic kidney disease. Emerging evidence suggests that epigenetic alterations, such as DNA methylation, are involved in diabetic kidney disease. Here we assess differences in blood-derived genome-wide DNA methylation associated with diabetic kidney disease in 1304 carefully characterised individuals with type 1 diabetes and known renal status from two cohorts in the United Kingdom-Republic of Ireland and Finland. In the meta-analysis, we identify 32 differentially methylated CpGs in diabetic kidney disease in type 1 diabetes, 18 of which are located within genes differentially expressed in kidneys or correlated with pathological traits in diabetic kidney disease. We show that methylation at 21 of the 32 CpGs predict the development of kidney failure, extending the knowledge and potentially identifying individuals at greater risk for diabetic kidney disease in type 1 diabetes., (© 2022. The Author(s).)
- Published
- 2022
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45. Haptoglobin Genotype Does Not Confer a Risk of Stroke in Type 1 Diabetes.
- Author
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Syreeni A, Dahlström EH, Hägg-Holmberg S, Forsblom C, Eriksson MI, Harjutsalo V, Putaala J, Groop PH, Sandholm N, and Thorn LM
- Subjects
- Humans, Haptoglobins genetics, Genotype, Chromosomal Proteins, Non-Histone genetics, Diabetes Mellitus, Type 1 complications, Diabetes Mellitus, Type 1 genetics, Stroke epidemiology, Stroke genetics
- Abstract
The exon copy number variant in the haptoglobin gene is associated with cardiovascular and kidney disease. For stroke, previous research is inconclusive. We aimed to study the relationship between the haptoglobin Hp1/2 genotype and stroke in individuals with type 1 diabetes from the Finnish Diabetic Nephropathy Study. We included two partially overlapping cohorts: one with haptoglobin genotypes determined using genotyping for 179 individuals with stroke and 517 matched control subjects, and the other using haptoglobin genotype imputation for a larger cohort of 500 individuals with stroke and 3,806 individuals without stroke. We observed no difference in the Hp1-1, Hp2-1, and Hp2-2 genotype frequencies between individuals with or without stroke, neither in the genotyping nor the imputation cohorts. Haptoglobin genotypes were also not associated with the ischemic or hemorrhagic stroke subtypes. In our imputed haptoglobin cohort, 61% of individuals with stroke died during follow-up. However, the risk of death was not related to the haptoglobin genotype. Diabetic kidney disease and cardiovascular events were common in the cohort, but the haptoglobin genotypes were not associated with stroke when stratified by these complications. To conclude, the Hp1/2 genotypes did not affect the risk of stroke or survival after stroke in our cohort with type 1 diabetes., (© 2022 by the American Diabetes Association.)
- Published
- 2022
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46. Whole-exome sequencing identifies novel protein-altering variants associated with serum apolipoprotein and lipid concentrations.
- Author
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Sandholm N, Hotakainen R, Haukka JK, Jansson Sigfrids F, Dahlström EH, Antikainen AA, Valo E, Syreeni A, Kilpeläinen E, Kytölä A, Palotie A, Harjutsalo V, Forsblom C, and Groop PH
- Subjects
- Humans, Exome Sequencing, Cholesterol, LDL genetics, Apolipoprotein C-III genetics, Apolipoproteins genetics, Apolipoproteins B genetics, RNA-Binding Proteins genetics, Proprotein Convertase 9 genetics, Cardiovascular Diseases
- Abstract
Background: Dyslipidemia is a major risk factor for cardiovascular disease, and diabetes impacts the lipid metabolism through multiple pathways. In addition to the standard lipid measurements, apolipoprotein concentrations provide added awareness of the burden of circulating lipoproteins. While common genetic variants modestly affect the serum lipid concentrations, rare genetic mutations can cause monogenic forms of hypercholesterolemia and other genetic disorders of lipid metabolism. We aimed to identify low-frequency protein-altering variants (PAVs) affecting lipoprotein and lipid traits., Methods: We analyzed whole-exome (WES) and whole-genome sequencing (WGS) data of 481 and 474 individuals with type 1 diabetes, respectively. The phenotypic data consisted of 79 serum lipid and apolipoprotein phenotypes obtained with clinical laboratory measurements and nuclear magnetic resonance spectroscopy., Results: The single-variant analysis identified an association between the LIPC p.Thr405Met (rs113298164) and serum apolipoprotein A1 concentrations (p=7.8×10
-8 ). The burden of PAVs was significantly associated with lipid phenotypes in LIPC, RBM47, TRMT5, GTF3C5, MARCHF10, and RYR3 (p<2.9×10-6 ). The RBM47 gene is required for apolipoprotein B post-translational modifications, and in our data, the association between RBM47 and apolipoprotein C-III concentrations was due to a rare 21 base pair p.Ala496-Ala502 deletion; in replication, the burden of rare deleterious variants in RBM47 was associated with lower triglyceride concentrations in WES of >170,000 individuals from multiple ancestries (p=0.0013). Two PAVs in GTF3C5 were highly enriched in the Finnish population and associated with cardiovascular phenotypes in the general population. In the previously known APOB gene, we identified novel associations at two protein-truncating variants resulting in lower serum non-HDL cholesterol (p=4.8×10-4 ), apolipoprotein B (p=5.6×10-4 ), and LDL cholesterol (p=9.5×10-4 ) concentrations., Conclusions: We identified lipid and apolipoprotein-associated variants in the previously known LIPC and APOB genes, as well as PAVs in GTF3C5 associated with LDLC, and in RBM47 associated with apolipoprotein C-III concentrations, implicated as an independent CVD risk factor. Identification of rare loss-of-function variants has previously revealed genes that can be targeted to prevent CVD, such as the LDL cholesterol-lowering loss-of-function variants in the PCSK9 gene. Thus, this study suggests novel putative therapeutic targets for the prevention of CVD., (© 2022. The Author(s).)- Published
- 2022
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47. Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease.
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Sandholm N, Cole JB, Nair V, Sheng X, Liu H, Ahlqvist E, van Zuydam N, Dahlström EH, Fermin D, Smyth LJ, Salem RM, Forsblom C, Valo E, Harjutsalo V, Brennan EP, McKay GJ, Andrews D, Doyle R, Looker HC, Nelson RG, Palmer C, McKnight AJ, Godson C, Maxwell AP, Groop L, McCarthy MI, Kretzler M, Susztak K, Hirschhorn JN, Florez JC, and Groop PH
- Subjects
- Doublecortin-Like Kinases, Fibrosis, Genome-Wide Association Study, Humans, Intracellular Signaling Peptides and Proteins genetics, Kidney metabolism, Polymorphism, Single Nucleotide genetics, Protein Serine-Threonine Kinases genetics, Diabetes Mellitus, Type 2 complications, Diabetic Nephropathies metabolism
- Abstract
Aims/hypothesis: Diabetic kidney disease (DKD) is the leading cause of kidney failure and has a substantial genetic component. Our aim was to identify novel genetic factors and genes contributing to DKD by performing meta-analysis of previous genome-wide association studies (GWAS) on DKD and by integrating the results with renal transcriptomics datasets., Methods: We performed GWAS meta-analyses using ten phenotypic definitions of DKD, including nearly 27,000 individuals with diabetes. Meta-analysis results were integrated with estimated quantitative trait locus data from human glomerular (N=119) and tubular (N=121) samples to perform transcriptome-wide association study. We also performed gene aggregate tests to jointly test all available common genetic markers within a gene, and combined the results with various kidney omics datasets., Results: The meta-analysis identified a novel intronic variant (rs72831309) in the TENM2 gene associated with a lower risk of the combined chronic kidney disease (eGFR<60 ml/min per 1.73 m
2 ) and DKD (microalbuminuria or worse) phenotype (p=9.8×10-9 ; although not withstanding correction for multiple testing, p>9.3×10-9 ). Gene-level analysis identified ten genes associated with DKD (COL20A1, DCLK1, EIF4E, PTPRN-RESP18, GPR158, INIP-SNX30, LSM14A and MFF; p<2.7×10-6 ). Integration of GWAS with human glomerular and tubular expression data demonstrated higher tubular AKIRIN2 gene expression in individuals with vs without DKD (p=1.1×10-6 ). The lead SNPs within six loci significantly altered DNA methylation of a nearby CpG site in kidneys (p<1.5×10-11 ). Expression of lead genes in kidney tubules or glomeruli correlated with relevant pathological phenotypes (e.g. TENM2 expression correlated positively with eGFR [p=1.6×10-8 ] and negatively with tubulointerstitial fibrosis [p=2.0×10-9 ], tubular DCLK1 expression correlated positively with fibrosis [p=7.4×10-16 ], and SNX30 expression correlated positively with eGFR [p=5.8×10-14 ] and negatively with fibrosis [p<2.0×10-16 ])., Conclusions/interpretation: Altogether, the results point to novel genes contributing to the pathogenesis of DKD., Data Availability: The GWAS meta-analysis results can be accessed via the type 1 and type 2 diabetes (T1D and T2D, respectively) and Common Metabolic Diseases (CMD) Knowledge Portals, and downloaded on their respective download pages ( https://t1d.hugeamp.org/downloads.html ; https://t2d.hugeamp.org/downloads.html ; https://hugeamp.org/downloads.html )., (© 2022. The Author(s).)- Published
- 2022
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48. Thymocyte regulatory variant alters transcription factor binding and protects from type 1 diabetes in infants.
- Author
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Sandholm N, Rubio García A, Pekalski ML, Inshaw JRJ, Cutler AJ, and Todd JA
- Subjects
- Child, Chromatin genetics, Chromatin metabolism, Genetic Predisposition to Disease, Humans, Infant, Quantitative Trait Loci, Diabetes Mellitus, Type 1 genetics, Diabetes Mellitus, Type 1 metabolism, Thymocytes metabolism
- Abstract
We recently mapped a genetic susceptibility locus on chromosome 6q22.33 for type 1 diabetes (T1D) diagnosed below the age of 7 years between the PTPRK and thymocyte-selection-associated (THEMIS) genes. As the thymus plays a central role in shaping the T cell repertoire, we aimed to identify the most likely causal genetic factors behind this association using thymocyte genomic data. In four thymocyte populations, we identified 253 DNA sequence motifs underlying histone modifications. The G insertion allele of rs138300818, associated with protection from diabetes, created thymocyte motifs for multiple histone modifications and thymocyte types. In a parallel approach to identifying variants that alter transcription factor binding motifs, the same variant disrupted a predicted motif for Rfx7, which is abundantly expressed in the thymus. Chromatin state and RNA sequencing data suggested strong transcription overlapping rs138300818 in fetal thymus, while expression quantitative trait locus and chromatin conformation data associate the insertion with lower THEMIS expression. Extending the analysis to other T1D loci further highlighted rs66733041 affecting the GATA3 transcription factor binding in the AFF3 locus. Taken together, our results support a role for thymic THEMIS gene expression and the rs138300818 variant in promoting the development of early-onset T1D., (© 2022. The Author(s).)
- Published
- 2022
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49. Urinary Proteomics Identifies Cathepsin D as a Biomarker of Rapid eGFR Decline in Type 1 Diabetes.
- Author
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Limonte CP, Valo E, Drel V, Natarajan L, Darshi M, Forsblom C, Henderson CM, Hoofnagle AN, Ju W, Kretzler M, Montemayor D, Nair V, Nelson RG, O'Toole JF, Toto RD, Rosas SE, Ruzinski J, Sandholm N, Schmidt IM, Vaisar T, Waikar SS, Zhang J, Rossing P, Ahluwalia TS, Groop PH, Pennathur S, Snell-Bergeon JK, Costacou T, Orchard TJ, Sharma K, and de Boer IH
- Subjects
- Albuminuria, Animals, Biomarkers metabolism, Case-Control Studies, Cathepsin D, Cohort Studies, Disease Progression, Glomerular Filtration Rate, Humans, Mice, Proteomics methods, Diabetes Mellitus, Type 1, Diabetic Nephropathies
- Abstract
Objective: Understanding mechanisms underlying rapid estimated glomerular filtration rate (eGFR) decline is important to predict and treat kidney disease in type 1 diabetes (T1D)., Research Design and Methods: We performed a case-control study nested within four T1D cohorts to identify urinary proteins associated with rapid eGFR decline. Case and control subjects were categorized based on eGFR decline ≥3 and <1 mL/min/1.73 m2/year, respectively. We used targeted liquid chromatography-tandem mass spectrometry to measure 38 peptides from 20 proteins implicated in diabetic kidney disease. Significant proteins were investigated in complementary human cohorts and in mouse proximal tubular epithelial cell cultures., Results: The cohort study included 1,270 participants followed a median 8 years. In the discovery set, only cathepsin D peptide and protein were significant on full adjustment for clinical and laboratory variables. In the validation set, associations of cathepsin D with eGFR decline were replicated in minimally adjusted models but lost significance with adjustment for albuminuria. In a meta-analysis with combination of discovery and validation sets, the odds ratio for the association of cathepsin D with rapid eGFR decline was 1.29 per SD (95% CI 1.07-1.55). In complementary human cohorts, urine cathepsin D was associated with tubulointerstitial injury and tubulointerstitial cathepsin D expression was associated with increased cortical interstitial fractional volume. In mouse proximal tubular epithelial cell cultures, advanced glycation end product-BSA increased cathepsin D activity and inflammatory and tubular injury markers, which were further increased with cathepsin D siRNA., Conclusions: Urine cathepsin D is associated with rapid eGFR decline in T1D and reflects kidney tubulointerstitial injury., (© 2022 by the American Diabetes Association.)
- Published
- 2022
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50. Effect of serum sample storage temperature on metabolomic and proteomic biomarkers.
- Author
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Valo E, Colombo M, Sandholm N, McGurnaghan SJ, Blackbourn LAK, Dunger DB, McKeigue PM, Forsblom C, Groop PH, Colhoun HM, Turner C, and Dalton RN
- Subjects
- Biomarkers, Humans, Prospective Studies, Temperature, Diabetes Mellitus, Type 1, Proteomics
- Abstract
Prospective biomarker studies can be used to identify biomarkers predictive of disease onset. However, if serum biomarkers are measured years after their collection, the storage conditions might affect analyte concentrations. Few data exists concerning which metabolites and proteins are affected by storage at - 20 °C vs - 80 °C. Our objectives were to document analytes affected by storage of serum samples at - 20 °C vs - 80 °C, and to identify those indicative of the storage temperature. We utilized liquid chromatography tandem mass spectrometry and Luminex to quantify 300 analytes from serum samples of 16 Finnish individuals with type 1 diabetes, with split-aliquot samples stored at - 80 °C and - 20 °C for a median of 4.2 years. Results were validated in 315 Finnish and 916 Scottish individuals with type 1 diabetes, stored at - 20 °C and at - 80 °C, respectively. After quality control, we analysed 193 metabolites and proteins of which 120 were apparently unaffected and 15 clearly susceptible to storage at - 20 °C vs - 80 °C. Further, we identified serum glutamate/glutamine ratio greater than 0.20 as a biomarker of storage at - 20 °C vs - 80 °C. The results provide a catalogue of analytes unaffected and affected by storage at - 20 °C vs - 80 °C and biomarkers indicative of sub-optimal storage., (© 2022. The Author(s).)
- Published
- 2022
- Full Text
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