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Sökning: swepub > (2000-2011) > Groop Leif > Lindgren Cecilia M.

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1.
  • Dupuis, Josée, et al. (författare)
  • New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
  • 2010
  • Ingår i: Nature Genetics. - 1061-4036. ; 42:2, s. 105-116
  • Tidskriftsartikel (refereegranskat)abstract
    • Levels of circulating glucose are tightly regulated. To identify new loci influencing glycemic traits, we performed meta-analyses of 21 genome-wide association studies informative for fasting glucose, fasting insulin and indices of beta-cell function (HOMA-B) and insulin resistance (HOMA-IR) in up to 46,186 nondiabetic participants. Follow-up of 25 loci in up to 76,558 additional subjects identified 16 loci associated with fasting glucose and HOMA-B and two loci associated with fasting insulin and HOMA-IR. These include nine loci newly associated with fasting glucose (in or near ADCY5, MADD, ADRA2A, CRY2, FADS1, GLIS3, SLC2A2, PROX1 and C2CD4B) and one influencing fasting insulin and HOMA-IR (near IGF1). We also demonstrated association of ADCY5, PROX1, GCK, GCKR and DGKB-TMEM195 with type 2 diabetes. Within these loci, likely biological candidate genes influence signal transduction, cell proliferation, development, glucose-sensing and circadian regulation. Our results demonstrate that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.
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2.
  • Heid, Iris M., et al. (författare)
  • Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution.
  • 2010
  • Ingår i: Nature genetics. - 1546-1718. ; 42:11, s. 949
  • Tidskriftsartikel (refereegranskat)abstract
    • Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WHR adjusted for body mass index (comprising up to 77,167 participants), following up 16 loci in an additional 29 studies (comprising up to 113,636 subjects). We identified 13 new loci in or near RSPO3, VEGFA, TBX15-WARS2, NFE2L3, GRB14, DNM3-PIGC, ITPR2-SSPN, LY86, HOXC13, ADAMTS9, ZNRF3-KREMEN1, NISCH-STAB1 and CPEB4 (P = 1.9 x 10(-9) to P = 1.8 x 10(-40)) and the known signal at LYPLAL1. Seven of these loci exhibited marked sexual dimorphism, all with a stronger effect on WHR in women than men (P for sex difference = 1.9 x 10(-3) to P = 1.2 x 10(-13)). These findings provide evidence for multiple loci that modulate body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions.
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3.
  • Lango Allen, Hana, et al. (författare)
  • Hundreds of variants clustered in genomic loci and biological pathways affect human height.
  • 2010
  • Ingår i: Nature. - 1476-4687. ; 467:7317, s. 832
  • Tidskriftsartikel (refereegranskat)abstract
    • Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits(1), but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait(2,3). The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P<0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.
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4.
  • Lindgren, Cecilia M, et al. (författare)
  • Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution.
  • 2009
  • Ingår i: PLoS genetics. - 1553-7404. ; 5:6, s. e1000508
  • Tidskriftsartikel (refereegranskat)abstract
    • To identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580) informative for adult waist circumference (WC) and waist-hip ratio (WHR). We selected 26 SNPs for follow-up, for which the evidence of association with measures of central adiposity (WC and/or WHR) was strong and disproportionate to that for overall adiposity or height. Follow-up studies in a maximum of 70,689 individuals identified two loci strongly associated with measures of central adiposity; these map near TFAP2B (WC, P = 1.9x10(-11)) and MSRA (WC, P = 8.9x10(-9)). A third locus, near LYPLAL1, was associated with WHR in women only (P = 2.6x10(-8)). The variants near TFAP2B appear to influence central adiposity through an effect on overall obesity/fat-mass, whereas LYPLAL1 displays a strong female-only association with fat distribution. By focusing on anthropometric measures of central obesity and fat distribution, we have identified three loci implicated in the regulation of human adiposity.
5.
  • Prokopenko, Inga, et al. (författare)
  • Variants in MTNR1B influence fasting glucose levels
  • 2009
  • Ingår i: Nature Genetics. - Nature Publishing Group. - 1061-4036. ; 41:1, s. 77-81
  • Tidskriftsartikel (refereegranskat)abstract
    • To identify previously unknown genetic loci associated with fasting glucose concentrations, we examined the leading association signals in ten genome-wide association scans involving a total of 36,610 individuals of European descent. Variants in the gene encoding melatonin receptor 1B (MTNR1B) were consistently associated with fasting glucose across all ten studies. The strongest signal was observed at rs10830963, where each G allele (frequency 0.30 in HapMap CEU) was associated with an increase of 0.07 (95% CI = 0.06-0.08) mmol/l in fasting glucose levels (P = 3.2 x 10(-50)) and reduced beta-cell function as measured by homeostasis model assessment (HOMA-B, P = 1.1 x 10(-15)). The same allele was associated with an increased risk of type 2 diabetes (odds ratio = 1.09 (1.05-1.12), per G allele P = 3.3 x 10(-7)) in a meta-analysis of 13 case-control studies totaling 18,236 cases and 64,453 controls. Our analyses also confirm previous associations of fasting glucose with variants at the G6PC2 (rs560887, P = 1.1 x 10(-57)) and GCK (rs4607517, P = 1.0 x 10(-25)) loci.
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6.
  • Voight, Benjamin F., et al. (författare)
  • Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
  • 2010
  • Ingår i: Nature Genetics. - Nature Publishing Group. - 1061-4036. ; 42:7, s. 579-U155
  • Tidskriftsartikel (refereegranskat)abstract
    • By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combined P < 5 x 10(-8). These include a second independent signal at the KCNQ1 locus; the first report, to our knowledge, of an X-chromosomal association (near DUSP9); and a further instance of overlap between loci implicated in monogenic and multifactorial forms of diabetes (at HNF1A). The identified loci affect both beta-cell function and insulin action, and, overall, T2D association signals show evidence of enrichment for genes involved in cell cycle regulation. We also show that a high proportion of T2D susceptibility loci harbor independent association signals influencing apparently unrelated complex traits.
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7.
  • Holmkvist, Johan, et al. (författare)
  • Common variants in maturity-onset diabetes of the young genes and future risk of type 2 diabetes
  • 2008
  • Ingår i: Diabetes. - American Diabetes Association. - 0012-1797. ; 57:6, s. 1738-1744
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE-Mutations in the hepatocyte nuclear factor (HNF)-1 alpha, HNF-4 alpha, glucokinase (GCK), and HNF-1 beta genes cause maturity-onset diabetes of the young (MODY), but it is not known whether common variants in these genes predict future type 2 diabetes. RESEARCH DESIGN AND METHODS-We tested 14 previously associated polymorphisms in HNF-1 alpha, HNF-4 alpha, GCK, and HNF-1 beta for association with type 2 diabetes-related traits and future risk of type 2 diabetes in 2,293 individuals from the Botnia study (Finland) and in 15,538 individuals from the Malmo Preventive Project (Sweden) with a total follow-up >360,000 years. RESULTS-The polymorphism rs1169288 in HNF-1 alpha strongly predicted future type 2 diabetes (hazard ratio HR 1.2, P = 0.0002). Also, SNPs rs4810424 and rs3212198 in HNF-4a nominally predicted future type 2 diabetes (HR 1.3 95% CI 1.0-1.6, P = 0.03; and 1.1 1.0-1.2, P = 0.04). The rs2144908 polymorphism in HNF-4 alpha was associated with elevated rate of hepatic glucose production during a hyperinsulinemic-euglycemic clamp (P = 0.03) but not with deterioration of insulin secretion over time. The SNP rs1799884 in the GCK promoter was associated with elevated fasting plasma glucose (fPG) concentrations that remained unchanged during the follow-up period (P = 0.4; SE 0.004 -0.003-0.007) but did not predict future type 2 diabetes (HR 0.9 0.8 -1.0, P = 0.1). Polymorphisms in HNF-1 beta (transcription factor 2 TCF2) did not significantly influence insulin or glucose values nor did they predict future type 2 diabetes. CONCLUSIONS-In conclusion, genetic variation in both HNF-1 alpha and HNF-4 alpha predict future type 2 diabetes, whereas variation in the GCK promoter results in a sustained but subtle elevation of fPG that is not sufficient to increase risk for future type 2 diabetes.
8.
  • Holmkvist, Johan, et al. (författare)
  • Common variants in MODY genes and future risk of type 2 diabetes.
  • 2008
  • Ingår i: Diabetes. - 1939-327X. ; :March 10
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: Mutations in the HNF-1alpha, HNF-4alpha, GCK and HNF-1beta genes cause Maturity Onset Diabetes of the Young (MODY), but it is not known whether common variants in these genes predict future type 2 diabetes (T2D). Research Design And Methods: We tested fourteen previously associated polymorphisms in HNF-1alpha, HNF-4alpha ; GCK and HNF-1beta for association with T2D-related traits and future risk of T2D in 2,293 individuals from the Botnia study (Finland) and in 15,538 individuals from the Malmö Preventive Project (Sweden) with a total follow-up >360,000 years. Results: The polymorphism rs1169288 in HNF-1alpha strongly predicted future T2D (HR=1.2, p=0.0002). Also SNPs rs4810424 and rs3212198 in HNF-4alpha nominally predicted future T2D (HR=1.3 (1.0-1.6), p=0.03 and 1.1 (1.0-1.2), p=0.04). The rs2144908 polymorphism in HNF-4alpha was associated with elevated rate of hepatic glucose production during a hyperinsulinaemic-euglyceamic clamp (p=0.03) but not with deterioration of insulin secretion over time. The SNP rs1799884 in the GCK promoter was associated with elevated fasting plasma glucose concentrations that remained unchanged during the follow-up period (p=0.4, SE 0.004 95%CI -0.003 - 0.007), but did not predict future T2D HR=0.9 (0.8-1.0), p=0.1. Polymorphisms in HNF-1beta (TCF2) did not significantly influence insulin or glucose values; neither did they predict future T2D. Conclusions: In conclusion, genetic variation in both HNF-1alpha and HNF-4alpha predict future type 2 diabetes while variation in the GCK promoter results in a sustained but subtle elevation of fasting plasma glucose which is not sufficient to increase risk for future T2D.
9.
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10.
  • Lindgren, Cecilia M., et al. (författare)
  • Characterization of the annexin I gene and evaluation of its role in type 2 diabetes
  • 2001
  • Ingår i: Diabetes. - American Diabetes Association, Inc.. - 0012-1797. ; 50:10, s. 2402-2405
  • Tidskriftsartikel (refereegranskat)abstract
    • In a previous study, we identified suggestive linkage between type 2 diabetes and a locus on chromosome 9p13-q21. This region contains the gene annexin I (ANXA1), encoding a protein suggested to be involved in both insulin secretion and insulin action. In this study, we sequenced the exon/intron boundaries of the human ANXA1 gene and performed mutation screening in 41 individuals from the initial linkage study. We identified five single nucleotide polymorphisms A58G, A401G, intronic variance sequence (IVS)8-28A/G, IVS11 +31A/G, and IVS12-11T/G, which were further tested for association to diabetes in 197 parent/offspring trios using the transmission disequilibrium test. No significant association with type 2 diabetes was observed, although the common A allele of the +58A/G variant gave a 22:12 transmission distortion (P = 0.12). This variant was further genotyped in 481 case and control subjects, but no difference in allele, genotype, or haplotype frequencies were observed between the groups. Further, a novel polymorphic (CA)(15-25) repeat in intron 11 was genotyped in the subjects included in the initial linkage study. No improvement of the original finding was observed. We therefore concluded that the ANXA1 gene is unlikely to harbor variants that contribute to risk of type 2 diabetes.
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