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Allelic Switching of DLX5, GRB10, and SVOPL during Colorectal Cancer Tumorigenesis. Int J Genomics 2019; 2019:1287671. [PMID: 31093489 PMCID: PMC6481143 DOI: 10.1155/2019/1287671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Revised: 01/28/2019] [Accepted: 02/07/2019] [Indexed: 11/26/2022] Open
Abstract
Allele-specific expression (ASE) is found in approximately 20-30% of human genes. During tumorigenesis, ASE changes due to somatic alterations that change the regulatory landscape. In colorectal cancer (CRC), many chromosomes show frequent gains or losses while homozygosity of chromosome 7 is rare. We hypothesized that genes essential to survival show allele-specific expression (ASE) on both alleles of chromosome 7. Using a panel of 21 recently established low-passage CRC cell lines, we performed ASE analysis by hybridizing DNA and cDNA to Infinium HumanExome-12 v1 BeadChips containing cSNPs in 392 chromosome 7 genes. The results of this initial analysis were extended and validated in a set of 89 paired normal mucosa and CRC samples. We found that 14% of genes showed ASE in one or more cell lines and identified allelic switching of the potential cell survival genes DLX5, GRB10, and SVOPL on chromosome 7, whereby the most abundantly expressed allele in the normal tissue is the lowest expressed allele in the tumor and vice versa. We established that this allelic switch does not result from loss of imprinting. The allelic switching of SVOPL may be a result of transcriptional downregulation, while the exact mechanisms resulting in the allelic switching of DLX5 and GRB10 remain to be elucidated. In conclusion, our results show that profound changes take place in allelic transcriptional regulation during the tumorigenesis of CRC.
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Tian L, Khan A, Ning Z, Yuan K, Zhang C, Lou H, Yuan Y, Xu S. Genome-wide comparison of allele-specific gene expression between African and European populations. Hum Mol Genet 2018; 27:1067-1077. [DOI: 10.1093/hmg/ddy027] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 01/05/2018] [Indexed: 11/12/2022] Open
Affiliation(s)
- Lei Tian
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Asifullah Khan
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
- Department of Biochemistry, Abdul Wali Khan University Mardan, Mardan-23200 KP, Pakistan
| | - Zhilin Ning
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kai Yuan
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chao Zhang
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Haiyi Lou
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
| | - Yuan Yuan
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
| | - Shuhua Xu
- Chinese Academy of Sciences Key Laboratory of Computational Biology, Max Planck Independent Research Group on Population Genomics, CAS-MPG Partner Institute for Computational Biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- School of Life Science and Technology, Shanghai Tech University, Shanghai 201210, China
- Collaborative Innovation Center of Genetics and Development, Shanghai 200438, China
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RNA-Seq Analyses Identify Frequent Allele Specific Expression and No Evidence of Genomic Imprinting in Specific Embryonic Tissues of Chicken. Sci Rep 2017; 7:11944. [PMID: 28931927 PMCID: PMC5607270 DOI: 10.1038/s41598-017-12179-9] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 09/05/2017] [Indexed: 12/30/2022] Open
Abstract
Epigenetic and genetic cis-regulatory elements in diploid organisms may cause allele specific expression (ASE) – unequal expression of the two chromosomal gene copies. Genomic imprinting is an intriguing type of ASE in which some genes are expressed monoallelically from either the paternal allele or maternal allele as a result of epigenetic modifications. Imprinted genes have been identified in several animal species and are frequently associated with embryonic development and growth. Whether genomic imprinting exists in chickens remains debatable, as previous studies have reported conflicting evidence. Albeit no genomic imprinting has been reported in the chicken embryo as a whole, we interrogated the existence or absence of genomic imprinting in the 12-day-old chicken embryonic brain and liver by examining ASE in F1 reciprocal crosses of two highly inbred chicken lines (Fayoumi and Leghorn). We identified 5197 and 4638 ASE SNPs, corresponding to 18.3% and 17.3% of the genes with a detectable expression in the embryonic brain and liver, respectively. There was no evidence detected of genomic imprinting in 12-day-old embryonic brain and liver. While ruling out the possibility of imprinted Z-chromosome inactivation, our results indicated that Z-linked gene expression is partially compensated between sexes in chickens.
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Codina-Solà M, Rodríguez-Santiago B, Homs A, Santoyo J, Rigau M, Aznar-Laín G, Del Campo M, Gener B, Gabau E, Botella MP, Gutiérrez-Arumí A, Antiñolo G, Pérez-Jurado LA, Cuscó I. Integrated analysis of whole-exome sequencing and transcriptome profiling in males with autism spectrum disorders. Mol Autism 2015; 6:21. [PMID: 25969726 PMCID: PMC4427998 DOI: 10.1186/s13229-015-0017-0] [Citation(s) in RCA: 86] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2014] [Accepted: 03/19/2015] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND Autism spectrum disorders (ASD) are a group of neurodevelopmental disorders with high heritability. Recent findings support a highly heterogeneous and complex genetic etiology including rare de novo and inherited mutations or chromosomal rearrangements as well as double or multiple hits. METHODS We performed whole-exome sequencing (WES) and blood cell transcriptome by RNAseq in a subset of male patients with idiopathic ASD (n = 36) in order to identify causative genes, transcriptomic alterations, and susceptibility variants. RESULTS We detected likely monogenic causes in seven cases: five de novo (SCN2A, MED13L, KCNV1, CUL3, and PTEN) and two inherited X-linked variants (MAOA and CDKL5). Transcriptomic analyses allowed the identification of intronic causative mutations missed by the usual filtering of WES and revealed functional consequences of some rare mutations. These included aberrant transcripts (PTEN, POLR3C), deregulated expression in 1.7% of mutated genes (that is, SEMA6B, MECP2, ANK3, CREBBP), allele-specific expression (FUS, MTOR, TAF1C), and non-sense-mediated decay (RIT1, ALG9). The analysis of rare inherited variants showed enrichment in relevant pathways such as the PI3K-Akt signaling and the axon guidance. CONCLUSIONS Integrative analysis of WES and blood RNAseq data has proven to be an efficient strategy to identify likely monogenic forms of ASD (19% in our cohort), as well as additional rare inherited mutations that can contribute to ASD risk in a multifactorial manner. Blood transcriptomic data, besides validating 88% of expressed variants, allowed the identification of missed intronic mutations and revealed functional correlations of genetic variants, including changes in splicing, expression levels, and allelic expression.
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Affiliation(s)
- Marta Codina-Solà
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Doctor Aiguader 88, 422, Barcelona, 08003 Spain ; Hospital del Mar Research Institute (IMIM), C/Doctor Aiguader 88, Barcelona, 08003 Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER), C/ Monforte de Lemos 3-5, Madrid, 28029 Spain
| | | | - Aïda Homs
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Doctor Aiguader 88, 422, Barcelona, 08003 Spain ; Hospital del Mar Research Institute (IMIM), C/Doctor Aiguader 88, Barcelona, 08003 Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER), C/ Monforte de Lemos 3-5, Madrid, 28029 Spain
| | - Javier Santoyo
- Medical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA), C/Albert Einstein, Cartuja Scientific and Technology Park, INSUR Builiding, Sevilla, 41092 Spain
| | - Maria Rigau
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Doctor Aiguader 88, 422, Barcelona, 08003 Spain
| | - Gemma Aznar-Laín
- Pediatric Neurology, Hospital del Mar, Passeig Marítim 25-29, Barcelona, 08003 Spain
| | - Miguel Del Campo
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Doctor Aiguader 88, 422, Barcelona, 08003 Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER), C/ Monforte de Lemos 3-5, Madrid, 28029 Spain ; Servicio de Genética, Hospital Vall d'Hebron, Passeig Vall d'Hebron, 119-129, Barcelona, 08015 Spain
| | - Blanca Gener
- Genetics Service, BioCruces Health Research Institute, Hospital Universitario Cruces, Plaza de Cruces 12, Barakaldo, Bizkaia 48093 Spain
| | - Elisabeth Gabau
- Pediatrics Service, Corporació Sanitària Parc Taulí, Parc Taulí 1, Sabadell, 08208 Spain
| | - María Pilar Botella
- Pediatric Neurology, Hospital de Txagorritxu, C/José de Atxotegui s/n, Victoria-Gasteiz, 01009 Spain
| | - Armand Gutiérrez-Arumí
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Doctor Aiguader 88, 422, Barcelona, 08003 Spain ; Hospital del Mar Research Institute (IMIM), C/Doctor Aiguader 88, Barcelona, 08003 Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER), C/ Monforte de Lemos 3-5, Madrid, 28029 Spain
| | - Guillermo Antiñolo
- Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER), C/ Monforte de Lemos 3-5, Madrid, 28029 Spain ; Medical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA), C/Albert Einstein, Cartuja Scientific and Technology Park, INSUR Builiding, Sevilla, 41092 Spain ; Department of Genetics, Reproduction and Fetal Medicine, Institute of Biomedicine of Seville (IBIS), University Hospital Virgen del Rocío/CSIC/University of Seville, Avda Manuel Siurot s/n, Sevilla, 41013 Spain
| | - Luis Alberto Pérez-Jurado
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Doctor Aiguader 88, 422, Barcelona, 08003 Spain ; Hospital del Mar Research Institute (IMIM), C/Doctor Aiguader 88, Barcelona, 08003 Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER), C/ Monforte de Lemos 3-5, Madrid, 28029 Spain
| | - Ivon Cuscó
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, C/Doctor Aiguader 88, 422, Barcelona, 08003 Spain ; Hospital del Mar Research Institute (IMIM), C/Doctor Aiguader 88, Barcelona, 08003 Spain ; Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBER-ER), C/ Monforte de Lemos 3-5, Madrid, 28029 Spain
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Genome-wide detection of allelic gene expression in hepatocellular carcinoma cells using a human exome SNP chip. Gene 2014; 551:236-42. [DOI: 10.1016/j.gene.2014.09.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2014] [Revised: 08/19/2014] [Accepted: 09/01/2014] [Indexed: 11/22/2022]
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6
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Feng N, Ma H, Ma C, Xu Z, Li S, Jiang W, Liu Y, Ma L. Characterization of 40 single nucleotide polymorphism (SNP) via Tm-shift assay in the mud crab (Scylla paramamosain). Mol Biol Rep 2014; 41:5467-71. [PMID: 24867081 DOI: 10.1007/s11033-014-3420-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2013] [Accepted: 05/16/2014] [Indexed: 11/28/2022]
Abstract
In this study, single nucleotide polymorphism (SNP) were identified, confirmed and genotyped in the mud crab (Scylla paramamosain) using Tm-shift assay. High quality sequences (13, 311 bp long) were obtained by re-sequencing that contained 91 SNPs, with a density of one SNP every 146 bp. Of all 91 SNPs, 40 were successfully genotyped and characterized using 30 wild specimens by Tm-shift assay. The minor allele frequency per locus ranged from 0.017 to 0.500. The observed and expected heterozygosity, and polymorphism information content (PIC) ranged from 0.000 to 0.600, from 0.033 to 0.509, and from 0.033 to 0.375, respectively, with an average of 0.142, 0.239 and 0.198 per locus. Seventeen SNPs were significantly deviated from Hardy-Weinberg equilibrium. No significant linkage disequilibrium between pairs of loci was detected after sequential Bonferroni correction (P > 0.00125). Seventeen SNPs were related with known function genes. This study provided new molecular markers for investigation of population genetic diversity, construction of genetic linkage maps and molecular marker-assisted selection in this important crustacean species.
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Affiliation(s)
- Nana Feng
- Key Laboratory of East China Sea and Oceanic Fishery Resources Exploitation, Ministry of Agriculture, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai, 200090, China
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Vanhille DL, Hill LD, Hilliard DD, Lee ED, Teves ME, Srinivas S, Kusanovic JP, Gomez R, Stratikos E, Elovitz MA, Romero R, Strauss JF. A Novel ERAP2 Haplotype Structure in a Chilean Population: Implications for ERAP2 Protein Expression and Preeclampsia Risk. Mol Genet Genomic Med 2013; 1:98-107. [PMID: 24040622 PMCID: PMC3769221 DOI: 10.1002/mgg3.13] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Single nucleotide polymorphisms (SNPs) in the endoplasmic reticulum aminopeptidase 2 (ERAP2) gene are associated with preeclampsia (PE) in different populations. rs2549782, a coding variant (N392K) that significantly affects substrate specificity, is in linkage disequilibrium (LD) with rs2248374, a marker SNP associated with ERAP2 protein expression in previously studied populations. As a result of nonsense-mediated RNA decay, ERAP2 protein is not expressed from the rs2248374 G allele. We previously reported that the fetal rs2549782 minor G allele is associated with PE in African-Americans, but not in Chileans. In this study, we found that rs2549782 was in LD with rs2248374 in African-Americans, but not in Chileans. The unexpected lack of strong LD in Chileans raised the possibility that rs2248374 could be associated with PE in the absence of an association with rs2549782. However, we found no significant association for this allele with PE in Chileans. Chileans homozygous for the rs2248374 G allele did not express 110 kDa ERAP2 protein, consistent with nonsense-mediated RNA decay, and carriers of the rs2248374 A allele did. We conclude that the Chilean ERAP2 haplotype structure allows for the expression of the major T allele of rs2549782 encoding 392N, which could impact peptide trimming and antigen presentation. Our discovery of racial differences in genetic structure and association with PE reveal heretofore unrecognized complexity of the ERAP2 locus.
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Affiliation(s)
- Derek L Vanhille
- Department of Obstetrics and Gynecology and the Center on Health Disparities, Virginia Commonwealth University School of Medicine, Richmond, VA, United States, 23298
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Gaur U, Li K, Mei S, Liu G. Research progress in allele-specific expression and its regulatory mechanisms. J Appl Genet 2013; 54:271-83. [PMID: 23609142 DOI: 10.1007/s13353-013-0148-y] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2013] [Revised: 03/22/2013] [Accepted: 04/03/2013] [Indexed: 12/12/2022]
Abstract
Although the majority of genes are expressed equally from both alleles, some genes are differentially expressed. Organisms possess characteristics to preferentially express a particular allele under regulatory factors, which is termed allele-specific expression (ASE). It is one of the important genetic factors that lead to phenotypic variation and can be used to identify the variance of gene regulation factors. ASE indicates mechanisms such as DNA methylation, histone modifications, and non-coding RNAs function. Here, we review a broad survey of progress in ASE studies, and what this simple yet very effective approach can offer in functional genomics, and possible implications toward our better understanding of the underlying mechanisms of complex traits.
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Affiliation(s)
- Uma Gaur
- Institute of Animal Science and Veterinary Medicine, Hubei Academy of Agricultural Sciences, Yaoyuan No. 1, Nanhu, Hongshan District, Wuhan, 430064, People's Republic of China
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Raudsepp T, McCue ME, Das PJ, Dobson L, Vishnoi M, Fritz KL, Schaefer R, Rendahl AK, Derr JN, Love CC, Varner DD, Chowdhary BP. Genome-wide association study implicates testis-sperm specific FKBP6 as a susceptibility locus for impaired acrosome reaction in stallions. PLoS Genet 2012; 8:e1003139. [PMID: 23284302 PMCID: PMC3527208 DOI: 10.1371/journal.pgen.1003139] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2012] [Accepted: 10/18/2012] [Indexed: 01/07/2023] Open
Abstract
Impaired acrosomal reaction (IAR) of sperm causes male subfertility in humans and animals. Despite compelling evidence about the genetic control over acrosome biogenesis and function, the genomics of IAR is as yet poorly understood, providing no molecular tools for diagnostics. Here we conducted Equine SNP50 Beadchip genotyping and GWAS using 7 IAR–affected and 37 control Thoroughbred stallions. A significant (P<6.75E-08) genotype–phenotype association was found in horse chromosome 13 in FK506 binding protein 6 (FKBP6). The gene belongs to the immunophilins FKBP family known to be involved in meiosis, calcium homeostasis, clathrin-coated vesicles, and membrane fusions. Direct sequencing of FKBP6 exons in cases and controls identified SNPs g.11040315G>A and g.11040379C>A (p.166H>N) in exon 4 that were significantly associated with the IAR phenotype both in the GWAS cohort (n = 44) and in a large multi-breed cohort of 265 horses. All IAR stallions were homozygous for the A-alleles, while this genotype was found only in 2% of controls. The equine FKBP6 was exclusively expressed in testis and sperm and had 5 different transcripts, of which 4 were novel. The expression of this gene in AC/AG heterozygous controls was monoallelic, and we observed a tendency for FKBP6 up-regulation in IAR stallions compared to controls. Because exon 4 SNPs had no effect on the protein structure, it is likely that FKBP6 relates to the IAR phenotype via regulatory or modifying functions. In conclusion, FKBP6 was considered a susceptibility gene of incomplete penetrance for IAR in stallions and a candidate gene for male subfertility in mammals. FKBP6 genotyping is recommended for the detection of IAR–susceptible individuals among potential breeding stallions. Successful use of sperm as a source of DNA and RNA propagates non-invasive sample procurement for fertility genomics in animals and humans. Impaired acrosomal reaction (IAR) of sperm causes male subfertility in humans and animals, and currently the molecular causes of the condition are not known. Here we report the mapping, identification, and functional analysis of a susceptibility locus for IAR in stallions. The candidate region was mapped to horse chromosome 13 by SNP genotyping and GWAS of 7 IAR affected and 44 control Thoroughbred stallions. Re-sequencing and case-control analysis of functionally relevant candidate genes in the region identified FKBP6 gene as a significantly associated locus. The association was confirmed by genotyping 265 male horses of multiple breeds. FKBP6 belongs to the immunophilins FKBP family known to be involved in meiosis, calcium homeostasis, clathrin-coated vesicles, and membrane fusions. We showed that the equine FKBP6 is exclusively and monoallelically expressed in testis and sperm and has 5 different transcripts, of which 4 were novel. Overall, FKBP6 was considered a susceptibility gene of incomplete penetrance for IAR in stallions and a candidate gene for male subfertility in other mammals. Successful use of sperm as a source of DNA and RNA propagates non-invasive sample procurement for fertility genomics in animals and humans.
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Affiliation(s)
- Terje Raudsepp
- Department of Veterinary Integrative Biosciences, Texas A&M University, College Station, Texas, USA.
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Tsoi LC, Spain SL, Knight J, Ellinghaus E, Stuart PE, Capon F, Ding J, Li Y, Tejasvi T, Gudjonsson JE, Kang HM, Allen MH, McManus R, Novelli G, Samuelsson L, Schalkwijk J, Ståhle M, Burden AD, Smith CH, Cork MJ, Estivill X, Bowcock AM, Krueger GG, Weger W, Worthington J, Tazi-Ahnini R, Nestle FO, Hayday A, Hoffmann P, Winkelmann J, Wijmenga C, Langford C, Edkins S, Andrews R, Blackburn H, Strange A, Band G, Pearson RD, Vukcevic D, Spencer CCA, Deloukas P, Mrowietz U, Schreiber S, Weidinger S, Koks S, Kingo K, Esko T, Metspalu A, Lim HW, Voorhees JJ, Weichenthal M, Wichmann HE, Chandran V, Rosen CF, Rahman P, Gladman DD, Griffiths CEM, Reis A, Kere J, Nair RP, Franke A, Barker JNWN, Abecasis GR, Elder JT, Trembath RC. Identification of 15 new psoriasis susceptibility loci highlights the role of innate immunity. Nat Genet 2012; 44:1341-8. [PMID: 23143594 PMCID: PMC3510312 DOI: 10.1038/ng.2467] [Citation(s) in RCA: 721] [Impact Index Per Article: 60.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2012] [Accepted: 10/17/2012] [Indexed: 02/08/2023]
Abstract
To gain further insight into the genetic architecture of psoriasis, we conducted a meta-analysis of 3 genome-wide association studies (GWAS) and 2 independent data sets genotyped on the Immunochip, including 10,588 cases and 22,806 controls. We identified 15 new susceptibility loci, increasing to 36 the number associated with psoriasis in European individuals. We also identified, using conditional analyses, five independent signals within previously known loci. The newly identified loci shared with other autoimmune diseases include candidate genes with roles in regulating T-cell function (such as RUNX3, TAGAP and STAT3). Notably, they included candidate genes whose products are involved in innate host defense, including interferon-mediated antiviral responses (DDX58), macrophage activation (ZC3H12C) and nuclear factor (NF)-κB signaling (CARD14 and CARM1). These results portend a better understanding of shared and distinctive genetic determinants of immune-mediated inflammatory disorders and emphasize the importance of the skin in innate and acquired host defense.
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Affiliation(s)
- Lam C Tsoi
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan Ann Arbor, MI 48109, USA
| | - Sarah L Spain
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
| | - Jo Knight
- Neuroscience Research, Centre for Addiction and Mental Health, Toronto, ON, Canada M5T 1R8
- National Institute for Health Research (NIHR), Biomedical Research Centre, Guy’s and St. Thomas’ NHS Foundation Trust
| | - Eva Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, 24105 Kiel, Germany
| | - Philip E Stuart
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Francesca Capon
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
| | - Jun Ding
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan Ann Arbor, MI 48109, USA
| | - Yanming Li
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan Ann Arbor, MI 48109, USA
| | - Trilokraj Tejasvi
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Hyun M Kang
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan Ann Arbor, MI 48109, USA
| | - Michael H Allen
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
| | - Ross McManus
- Department of Clinical Medicine Trinity College Dublin, Ireland
- Institute of Molecular Medicine, Trinity College Dublin, Ireland
| | - Giuseppe Novelli
- National Agency for Evaluation of Universities and Research Institutes (ANVUR)
- Research Center San Pietro Hospital, Rome, Italy
| | - Lena Samuelsson
- Department of Medical and Clinical Genetics, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Joost Schalkwijk
- Department of Dermatology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
| | - Mona Ståhle
- Dermatology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Catherine H Smith
- St John’s Institute of Dermatology, King’s College London, London, UK
| | - Michael J Cork
- Academic Unit of Dermatology Research, Department of Infection and Immunity, The University of Sheffield, Sheffield, UK
| | - Xavier Estivill
- Genes and Disease Programme, Centre for Genomic Regulation (CRG) and UPF, Hospital del Mar Research Institute (CRG) and Public Health and Epidemiology Network Biomedical Research Centre (CIBERESP), Barcelona, Spain
| | - Anne M Bowcock
- Division of Human Genetics, Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | | | - Wolfgang Weger
- Department of Dermatology, Medical University of Graz, Graz, Austria
| | - Jane Worthington
- Arthritis Research UK Epidemiology Unit, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Rachid Tazi-Ahnini
- Academic Unit of Dermatology Research, Department of Infection and Immunity, The University of Sheffield, Sheffield, UK
| | - Frank O Nestle
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
| | - Adrian Hayday
- Division of Immunology, Infection and Inflammatory Disease; King’s College London, London, UK
| | - Per Hoffmann
- Institute of Human Genetics, University of Bonn, 54127 Bonn, Germany
- Department of Genomics, Life & Brain Center, University of Bonn, 54127 Bonn, Germany
| | - Juliane Winkelmann
- Department of Neurology, Technische Universität München, Munich, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Munich, Germany
| | - Cisca Wijmenga
- Genetics Department, University Medical Center and University of Groningen, Groningen, The Netherlands
| | | | - Sarah Edkins
- Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
| | | | | | - Amy Strange
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7LJ, UK
| | - Gavin Band
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7LJ, UK
| | - Richard D Pearson
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7LJ, UK
| | - Damjan Vukcevic
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7LJ, UK
| | - Chris CA Spencer
- Wellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford OX3 7LJ, UK
| | | | - Ulrich Mrowietz
- Department of Dermatology, University Hospital, Schleswig-Holstein, Christian-Albrechts-University, 24105 Kiel, Germany
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, 24105 Kiel, Germany
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, 24105 Kiel, Germany
- PopGen biobank, University Hospital S.-H., Kiel, Germany
| | - Stephan Weidinger
- Department of Dermatology, University Hospital, Schleswig-Holstein, Christian-Albrechts-University, 24105 Kiel, Germany
| | - Sulev Koks
- Department of Physiology, Centre of Translational Medicine and Centre for Translational Genomics, University of Tartu, 50409 Tartu, Estonia
| | - Külli Kingo
- Department of Dermatology and Venerology, University of Tartu, 50409 Tartu, Estonia
| | - Tonu Esko
- Estonian Genome Center, University of Tartu, 51010 Tartu, Estonia
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, 51010 Tartu, Estonia
| | - Henry W Lim
- Department of Dermatology, Henry Ford Hospital, Detroit, MI, 48202, USA
| | - John J Voorhees
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Michael Weichenthal
- Department of Dermatology, University Hospital, Schleswig-Holstein, Christian-Albrechts-University, 24105 Kiel, Germany
| | - H. Erich Wichmann
- Institute of Epidemiology I, Helmholtz Centre Munich, German Research Center for Environmental Health, 85764 Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig-Maximilians-University, 81377 Munich, Germany
- Klinikum Grosshadern, 81377 Munich, Germany
| | - Vinod Chandran
- Department of Medicine, Division of Rheumatology, University of Toronto, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
| | - Cheryl F Rosen
- Department of Medicine, Division of Dermatology, University of Toronto, Toronto Western Hospital, Toronto, Ontario M5T 2S8
| | - Proton Rahman
- Department of Medicine, Memorial University, St. John’s, Newfoundland A1C 5B8, Canada
| | - Dafna D Gladman
- Department of Medicine, Division of Rheumatology, University of Toronto, Toronto Western Hospital, Toronto, Ontario M5T 2S8, Canada
| | - Christopher EM Griffiths
- Dermatological Sciences, Salford Royal NHS Foundation Trust, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Andre Reis
- Institute of Human Genetics, University of Erlangen-Nuremberg, Erlangen, Germany
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
- Folkhälsan Institute of Genetics, Helsinki, Finland
- Department of Medical Genetics, University of Helsinki, Finland
| | | | | | | | | | - Rajan P Nair
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University, 24105 Kiel, Germany
| | - Jonathan NWN Barker
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
- St John’s Institute of Dermatology, King’s College London, London, UK
| | - Goncalo R Abecasis
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan Ann Arbor, MI 48109, USA
| | - James T Elder
- Department of Dermatology, University of Michigan, Ann Arbor, MI 48109, USA
- Ann Arbor Veterans Affairs Hospital, Ann Arbor, MI, 48105, USA
| | - Richard C Trembath
- Division of Genetics and Molecular Medicine, King’s College London, London, UK
- Queen Mary University of London, Barts and the London School of Medicine and Dentistry, London, UK
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11
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Gao C, Devarajan K, Zhou Y, Slater CM, Daly MB, Chen X. Identifying breast cancer risk loci by global differential allele-specific expression (DASE) analysis in mammary epithelial transcriptome. BMC Genomics 2012; 13:570. [PMID: 23107584 PMCID: PMC3532379 DOI: 10.1186/1471-2164-13-570] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2012] [Accepted: 10/24/2012] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The significant mortality associated with breast cancer (BCa) suggests a need to improve current research strategies to identify new genes that predispose women to breast cancer. Differential allele-specific expression (DASE) has been shown to contribute to phenotypic variables in humans and recently to the pathogenesis of cancer. We previously reported that nonsense-mediated mRNA decay (NMD) could lead to DASE of BRCA1/2, which is associated with elevated susceptibility to breast cancer. In addition to truncation mutations, multiple genetic and epigenetic factors can contribute to DASE, and we propose that DASE is a functional index for cis-acting regulatory variants and pathogenic mutations, and that global analysis of DASE in breast cancer precursor tissues can be used to identify novel causative alleles for breast cancer susceptibility. RESULTS To test our hypothesis, we employed the Illumina(®) Omni1-Quad BeadChip in paired genomic DNA (gDNA) and double-stranded cDNA (ds-cDNA) samples prepared from eight BCa patient-derived normal mammary epithelial lines (HMEC). We filtered original array data according to heterozygous genotype calls and calculated DASE values using the Log ratio of cDNA allele intensity, which was normalized to the corresponding gDNA. We developed two statistical methods, SNP- and gene-based approaches, which allowed us to identify a list of 60 candidate DASE loci (DASE ≥ 2.00, P ≤ 0.01, FDR ≤ 0.05) by both methods. Ingenuity Pathway Analysis of DASE loci revealed one major breast cancer-relevant interaction network, which includes two known cancer causative genes, ZNF331 (DASE = 2.31, P = 0.0018, FDR = 0.040) and USP6 (DASE = 4.80, P = 0.0013, FDR = 0.013), and a breast cancer causative gene, DMBT1 (DASE=2.03, P = 0.0017, FDR = 0.014). Sequence analysis of a 5' RACE product of DMBT1 demonstrated that rs2981745, a putative breast cancer risk locus, appears to be one of the causal variants leading to DASE in DMBT1. CONCLUSIONS Our study demonstrated for the first time that global DASE analysis is a powerful new approach to identify breast cancer risk allele(s).
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Affiliation(s)
- Chuan Gao
- Cancer Epigenetics Program, Fox Chase Cancer Center, Philadelphia, PA 19111, USA
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12
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Large-scale profiling and identification of potential regulatory mechanisms for allelic gene expression in colorectal cancer cells. Gene 2012; 512:16-22. [PMID: 23064046 DOI: 10.1016/j.gene.2012.10.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2012] [Revised: 09/28/2012] [Accepted: 10/02/2012] [Indexed: 01/20/2023]
Abstract
Allelic variation in gene expression is common in humans and this variation is associated with phenotypic variation. In this study, we employed high-density single nucleotide polymorphism (SNP) chips containing 13,900 exonic SNPs to identify genes with allelic gene expression in cells from colorectal cancer cell lines. We found 2 monoallelically expressed genes (ERAP2 and MYLK4), 32 genes with an allelic imbalance in their expression, and 13 genes showing allele substitution by RNA editing. Among a total of 34 allelically expressed genes in colorectal cancer cells, 15 genes (44.1%) were associated with cis-acting eQTL, indicating that large portions of allelically expressed genes are regulated by cis-acting mechanisms of gene expression. In addition, potential regulatory variants present in the proximal promoter regions of genes showing either monoallelic expression or allelic imbalance were not tightly linked with coding SNPs, which were detected with allelic gene expression. These results suggest that multiple rare variants could be involved in the cis-acting regulatory mechanism of allelic gene expression. In the comparison with allelic gene expression data from Centre d'Etude du Polymorphisme Humain (CEPH) family B cells, 12 genes showed B-cell specific allelic imbalance and 1 noncoding SNP showed colorectal cancer cell-specific allelic imbalance. In addition, different patterns of allele substitution were observed between B cells and colorectal cancer cells. Overall, our study not only indicates that allelic gene expression is common in colorectal cancer cells, but our study also provides a better understanding of allele-specific gene expression in colorectal cancer cells.
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Pilling LC, Harries LW, Powell J, Llewellyn DJ, Ferrucci L, Melzer D. Genomics and successful aging: grounds for renewed optimism? J Gerontol A Biol Sci Med Sci 2012; 67:511-9. [PMID: 22454374 DOI: 10.1093/gerona/gls091] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Successful aging depends in part on delaying age-related disease onsets until later in life. Conditions including coronary artery disease, Alzheimer's disease, prostate cancer, and type 2 diabetes are moderately heritable. Genome-wide association studies have identified many risk associated single-nucleotide polymorphisms for these conditions, but much heritability remains unaccounted for. Nevertheless, a great deal is being learned. METHODS Here, we review age-related disease associated single-nucleotide polymorphisms and identify key underlying pathways including lipid handling, specific immune processes, early tissue development, and cell cycle control. RESULTS Most age-related disease associated single-nucleotide polymorphisms do not affect coding regions of genes or protein makeup but instead influence regulation of gene expression. Recent evidence indicates that evolution of gene regulatory sites is fundamental to interspecies differences. Animal models relevant to human aging may therefore need to focus more on gene regulation rather than testing major disruptions to fundamental pathway genes. Recent larger scale human studies of in vivo genome-wide expression (notably from the InCHIANTI aging study) have identified changes in splicing, the "fine tuning" of protein sequences, as a potentially important factor in decline of cellular function with age. Studies of expression with muscle strength and cognition have shown striking concordance with certain mice models of muscle repair and beta-amyloid phagocytosis respectively. CONCLUSIONS The emerging clearer picture of the genetic architecture of age-related diseases in humans is providing new insights into the underlying pathophysiological pathways involved. Translation of genomics into new approaches to prevention, tests and treatments to extend successful aging is therefore likely in the coming decades.
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Affiliation(s)
- L C Pilling
- Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, UK
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