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Search: WFRF:(Nöthen Markus M)

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31.
  • Vijayakrishnan, Jayaram, et al. (author)
  • The 9p21.3 risk of childhood acute lymphoblastic leukaemia is explained by a rare high-impact variant in CDKN2A.
  • 2015
  • In: Scientific Reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 5
  • Journal article (peer-reviewed)abstract
    • Genome-wide association studies (GWAS) have provided strong evidence for inherited predisposition to childhood acute lymphoblastic leukaemia (ALL) identifying a number of risk loci. We have previously shown common SNPs at 9p21.3 influence ALL risk. These SNP associations are generally not themselves candidates for causality, but simply act as markers for functional variants. By means of imputation of GWAS data and subsequent validation SNP genotyping totalling 2,177 ALL cases and 8,240 controls, we have shown that the 9p21.3 association can be ascribed to the rare high-impact CDKN2A p.Ala148Thr variant (rs3731249; Odds ratio = 2.42, P = 3.45 × 10(-19)). The association between rs3731249 genotype and risk was not specific to particular subtype of B-cell ALL. The rs3731249 variant is associated with predominant nuclear localisation of the CDKN2A transcript suggesting the functional effect of p.Ala148Thr on ALL risk may be through compromised ability to inhibit cyclin D within the cytoplasm.
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32.
  • Anthoni, Heidi, et al. (author)
  • A locus on 2p12 containing the co-regulated MRPL19 and C2ORF3 genes is associated to dyslexia.
  • 2007
  • In: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 16:6, s. 667-77
  • Journal article (peer-reviewed)abstract
    • DYX3, a locus for dyslexia, resides on chromosome 2p11-p15. We have refined its location on 2p12 to a 157 kb region in two rounds of linkage disequilibrium (LD) mapping in a set of Finnish families. The observed association was replicated in an independent set of 251 German families. Two overlapping risk haplotypes spanning 16 kb were identified in both sample sets separately as well as in a joint analysis. In the German sample set, the odds ratio for the most significantly associated haplotype increased with dyslexia severity from 2.2 to 5.2. The risk haplotypes are located in an intergenic region between FLJ13391 and MRPL19/C2ORF3. As no novel genes could be cloned from this region, we hypothesized that the risk haplotypes might affect long-distance regulatory elements and characterized the three known genes. MRPL19 and C2ORF3 are in strong LD and were highly co-expressed across a panel of tissues from regions of adult human brain. The expression of MRPL19 and C2ORF3, but not FLJ13391, were also correlated with the four dyslexia candidate genes identified so far (DYX1C1, ROBO1, DCDC2 and KIAA0319). Although several non-synonymous changes were identified in MRPL19 and C2ORF3, none of them significantly associated with dyslexia. However, heterozygous carriers of the risk haplotype showed significantly attenuated expression of both MRPL19 and C2ORF3, as compared with non-carriers. Analysis of C2ORF3 orthologues in four non-human primates suggested different evolutionary rates for primates when compared with the out-group. In conclusion, our data support MRPL19 and C2ORF3 as candidate susceptibility genes for DYX3.
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33.
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34.
  • Chattopadhyay, Subhayan, et al. (author)
  • Enrichment of B cell receptor signaling and epidermal growth factor receptor pathways in monoclonal gammopathy of undetermined significance : a genome-wide genetic interaction study
  • 2018
  • In: Molecular Medicine. - : Springer Science and Business Media LLC. - 1528-3658 .- 1076-1551. ; 24:1
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Recent identification of 10 germline variants predisposing to monoclonal gammopathy of undetermined significance (MGUS) explicates genetic dependency of this asymptomatic precursor condition with multiple myeloma (MM). Yet much of genetic burden as well as functional links remain unexplained. We propose a workflow to expand the search for susceptibility loci with genome-wide interaction and for subsequent identification of genetic clusters and pathways.METHODS: Polygenic interaction analysis on 243 cases/1285 controls identified 14 paired risk loci belonging to unique chromosomal bands which were then replicated in two independent sets (case only study, 82 individuals; case/control study 236 cases/ 2484 controls). Further investigation on gene-set enrichment, regulatory pathway and genetic network was carried out with stand-alone in silico tools separately for both interaction and genome-wide association study-detected risk loci.RESULTS: Intronic-PREX1 (20q13.13), a reported locus predisposing to MM was confirmed to have contribution to excess MGUS risk in interaction with SETBP1, a well-established candidate predisposing to myeloid malignancies. Pathway enrichment showed B cell receptor signaling pathway (P < 5.3 × 10- 3) downstream to allograft rejection pathway (P < 5.6 × 10- 4) and autoimmune thyroid disease pathway (P < 9.3 × 10- 4) as well as epidermal growth factor receptor regulation pathway (P < 2.4 × 10- 2) to be differentially regulated. Oncogene ALK and CDH2 were also identified to be moderately interacting with rs10251201 and rs16966921, two previously reported risk loci for MGUS.CONCLUSIONS: We described novel pathways and variants potentially causal for MGUS. The methodology thus proposed to facilitate our search streamlines risk locus-based interaction, genetic network and pathway enrichment analyses.
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35.
  • Chattopadhyay, Subhayan, et al. (author)
  • Genome-wide interaction and pathway-based identification of key regulators in multiple myeloma
  • 2019
  • In: Communications Biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 2:1
  • Journal article (peer-reviewed)abstract
    • Inherited genetic susceptibility to multiple myeloma has been investigated in a number of studies. Although 23 individual risk loci have been identified, much of the genetic heritability remains unknown. Here we carried out genome-wide interaction analyses on two European cohorts accounting for 3,999 cases and 7,266 controls and characterized genetic susceptibility to multiple myeloma with subsequent meta-analysis that discovered 16 unique interacting loci. These risk loci along with previously known variants explain 17% of the heritability in liability scale. The genes associated with the interacting loci were found to be enriched in transforming growth factor beta signaling and circadian rhythm regulation pathways suggesting immunoglobulin trait modulation, TH17 cell differentiation and bone morphogenesis as mechanistic links between the predisposition markers and intrinsic multiple myeloma biology. Further tissue/cell-type enrichment analysis associated the discovered genes with hemic-immune system tissue types and immune-related cell types indicating overall involvement in immune response.
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36.
  • Disney-Hogg, Linden, et al. (author)
  • Influence of obesity-related risk factors in the aetiology of glioma
  • 2018
  • In: British Journal of Cancer. - : Nature Publishing Group. - 0007-0920 .- 1532-1827. ; 118:7, s. 1020-1027
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Obesity and related factors have been implicated as possible aetiological factors for the development of glioma in epidemiological observation studies. We used genetic markers in a Mendelian randomisation framework to examine whether obesity-related traits influence glioma risk. This methodology reduces bias from confounding and is not affected by reverse causation. METHODS: Genetic instruments were identified for 10 key obesity-related risk factors, and their association with glioma risk was evaluated using data from a genome-wide association study of 12,488 glioma patients and 18,169 controls. The estimated odds ratio of glioma associated with each of the genetically defined obesity-related traits was used to infer evidence for a causal relationship. RESULTS: No convincing association with glioma risk was seen for genetic instruments for body mass index, waist-to-hip ratio, lipids, type-2 diabetes, hyperglycaemia or insulin resistance. Similarly, we found no evidence to support a relationship between obesity-related traits with subtypes of glioma-glioblastoma (GBM) or non-GBM tumours. CONCLUSIONS: This study provides no evidence to implicate obesity-related factors as causes of glioma.
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37.
  • Jönsson, Erik G, et al. (author)
  • Monoamine related functional gene variants and relationships to monoamine metabolite concentrations in CSF of healthy volunteers.
  • 2004
  • In: BMC psychiatry. - 1471-244X. ; 4
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Concentrations of monoamine metabolites in human cerebrospinal fluid (CSF) have been used extensively as indirect estimates of monoamine turnover in the brain. CSF monoamine metabolite concentrations are partly determined by genetic influences. METHODS: We investigated possible relationships between DNA polymorphisms in the serotonin 2C receptor (HTR2C), the serotonin 3A receptor (HTR3A), the dopamine D4 receptor (DRD4), and the dopamine beta-hydroxylase (DBH) genes and CSF concentrations of 5-hydroxyindolacetic acid (5-HIAA), homovanillic acid (HVA), and 3-methoxy-4-hydroxyphenylglycol (MHPG) in healthy volunteers (n = 90). RESULTS: The HTR3A 178 C/T variant was associated with 5-HIAA levels (p = 0.02). The DBH-1021 heterozygote genotype was associated with 5-HIAA (p = 0.0005) and HVA (p = 0.009) concentrations. Neither the HTR2C Cys23Ser variant, nor the DRD4 -521 C/T variant were significantly associated with any of the monoamine metabolites. CONCLUSIONS: The present results suggest that the HTR3A and DBH genes may participate in the regulation of dopamine and serotonin turnover rates in the central nervous system.
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38.
  • Kohshour, Mojtaba Oraki, et al. (author)
  • Comparative serum proteomic analysis of a selected protein panel in individuals with schizophrenia and bipolar disorder and the impact of genetic risk burden on serum proteomic profiles
  • 2022
  • In: Translational Psychiatry. - : Springer Nature. - 2158-3188. ; 12:1
  • Journal article (peer-reviewed)abstract
    • The diagnostic criteria for schizophrenia (SCZ) and bipolar disorder (BD) are based on clinical assessments of symptoms. In this pilot study, we applied high-throughput antibody-based protein profiling to serum samples of healthy controls and individuals with SCZ and BD with the aim of identifying differentially expressed proteins in these disorders. Moreover, we explored the influence of polygenic burden for SCZ and BD on the serum levels of these proteins. Serum samples from 113 individuals with SCZ and 125 with BD from the PsyCourse Study and from 44 healthy controls were analyzed by using a set of 155 antibodies in an antibody-based assay targeting a selected panel of 95 proteins. For the cases, genotyping and imputation were conducted for DNA samples and SCZ and BD polygenic risk scores (PRS) were calculated. Univariate linear and logistic models were used for association analyses. The comparison between SCZ and BD revealed two serum proteins that were significantly elevated in BD after multiple testing adjustment: "complement C9" and "Interleukin 1 Receptor Accessory Protein". Moreover, the first principal component of variance in the proteomics dataset differed significantly between SCZ and BD. After multiple testing correction, SCZ-PRS, BD-PRS, and SCZ-vs-BD-PRS were not significantly associated with the levels of the individual proteins or the values of the proteome principal components indicating no detectable genetic effects. Overall, our findings contribute to the evidence suggesting that the analysis of circulating proteins could lead to the identification of distinctive biomarkers for SCZ and BD. Our investigation warrants replication in large-scale studies to confirm these findings.
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39.
  • Matsson, Hans, et al. (author)
  • Polymorphisms in DCDC2 and S100B associate with developmental dyslexia.
  • 2015
  • In: Journal of Human Genetics. - : Springer Science and Business Media LLC. - 1434-5161 .- 1435-232X. ; 60:7, s. 399-401
  • Journal article (peer-reviewed)abstract
    • Genetic studies of complex traits have become increasingly successful as progress is made in next-generation sequencing. We aimed at discovering single nucleotide variation present in known and new candidate genes for developmental dyslexia: CYP19A1, DCDC2, DIP2A, DYX1C1, GCFC2 (also known as C2orf3), KIAA0319, MRPL19, PCNT, PRMT2, ROBO1 and S100B. We used next-generation sequencing to identify single-nucleotide polymorphisms in the exons of these 11 genes in pools of 100 DNA samples of Finnish individuals with developmental dyslexia. Subsequent individual genotyping of those 100 individuals, and additional cases and controls from the Finnish and German populations, validated 92 out of 111 different single-nucleotide variants. A nonsynonymous polymorphism in DCDC2 (corrected P = 0.002) and a noncoding variant in S100B (corrected P = 0.016) showed a significant association with spelling performance in families of German origin. No significant association was found for the variants neither in the Finnish case-control sample set nor in the Finnish family sample set. Our findings further strengthen the role of DCDC2 and implicate S100B, in the biology of reading and spelling.
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40.
  • Matsson, Hans, et al. (author)
  • SNP variations in the 7q33 region containing DGKI are associated with dyslexia in the Finnish and German populations.
  • 2011
  • In: Behavior Genetics. - : Springer Science and Business Media LLC. - 0001-8244 .- 1573-3297. ; 41:1, s. 134-40
  • Journal article (peer-reviewed)abstract
    • Four genes, DYX1C1, ROBO1, DCDC2 and KIAA0319 have been studied both genetically and functionally as candidate genes for developmental dyslexia, a common learning disability in children. The identification of novel genes is crucial to better understand the molecular pathways affected in dyslectic individuals. Here, we report results from a fine-mapping approach involving linkage and association analysis in Finnish and German dyslexic cohorts. We restrict a candidate region to 0.3 Mb on chromosome 7q33. This region harbours the gene diacylglycerol kinase, iota (DGKI) which contains overlapping haplotypes associated with dyslexia in both Finnish and German sample sets.
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