LocusZoom: regional visualization of genome-wide association scan results
Genome-wide association studies (GWAS) have revealed hundreds of loci associated with common human genetic diseases and traits. We have developed a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format. LocusZoom visually displays regional informatio...
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| Vydáno v: | Bioinformatics Ročník 26; číslo 18; s. 2336 - 2337 |
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| Hlavní autoři: | , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Oxford
Oxford University Press
15.09.2010
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| Témata: | |
| ISSN: | 1367-4803, 1367-4811, 1460-2059, 1367-4811 |
| On-line přístup: | Získat plný text |
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| Abstract | Genome-wide association studies (GWAS) have revealed hundreds of loci associated with common human genetic diseases and traits. We have developed a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format. LocusZoom visually displays regional information such as the strength and extent of the association signal relative to genomic position, local linkage disequilibrium (LD) and recombination patterns and the positions of genes in the region. Availability: LocusZoom can be accessed from a web interface at http://csg.sph.umich.edu/locuszoom. Users may generate a single plot using a web form, or many plots using batch mode. The software utilizes LD information from HapMap Phase II (CEU, YRI and JPT+CHB) or 1000 Genomes (CEU) and gene information from the UCSC browser, and will accept SNP identifiers in dbSNP or 1000 Genomes format. Single plots are generated in ∼20 s. Source code and associated databases are available for download and local installation, and full documentation is available online. Contact: cristen@umich.edu |
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| AbstractList | Genome-wide association studies (GWAS) have revealed hundreds of loci associated with common human genetic diseases and traits. We have developed a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format. LocusZoom visually displays regional information such as the strength and extent of the association signal relative to genomic position, local linkage disequilibrium (LD) and recombination patterns and the positions of genes in the region.
Availability: LocusZoom can be accessed from a web interface at http://csg.sph.umich.edu/locuszoom. Users may generate a single plot using a web form, or many plots using batch mode. The software utilizes LD information from HapMap Phase II (CEU, YRI and JPT+CHB) or 1000 Genomes (CEU) and gene information from the UCSC browser, and will accept SNP identifiers in dbSNP or 1000 Genomes format. Single plots are generated in ∼20 s. Source code and associated databases are available for download and local installation, and full documentation is available online.
Contact: cristen@umich.edu Genome-wide association studies (GWAS) have revealed hundreds of loci associated with common human genetic diseases and traits. We have developed a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format. LocusZoom visually displays regional information such as the strength and extent of the association signal relative to genomic position, local linkage disequilibrium (LD) and recombination patterns and the positions of genes in the region. AVAILABILITY: LocusZoom can be accessed from a web interface at http://csg.sph.umich.edu/locuszoom. Users may generate a single plot using a web form, or many plots using batch mode. The software utilizes LD information from HapMap Phase II (CEU, YRI and JPT+CHB) or 1000 Genomes (CEU) and gene information from the UCSC browser, and will accept SNP identifiers in dbSNP or 1000 Genomes format. Single plots are generated in 620 s. Source code and associated databases are available for download and local installation, and full documentation is available online. CONTACT: cristen super(m)ich.edu Genome-wide association studies (GWAS) have revealed hundreds of loci associated with common human genetic diseases and traits. We have developed a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format. LocusZoom visually displays regional information such as the strength and extent of the association signal relative to genomic position, local linkage disequilibrium (LD) and recombination patterns and the positions of genes in the region. Availability: LocusZoom can be accessed from a web interface at http://csg.sph.umich.edu/locuszoom. Users may generate a single plot using a web form, or many plots using batch mode. The software utilizes LD information from HapMap Phase II (CEU, YRI and JPT+CHB) or 1000 Genomes (CEU) and gene information from the UCSC browser, and will accept SNP identifiers in dbSNP or 1000 Genomes format. Single plots are generated in ∼20 s. Source code and associated databases are available for download and local installation, and full documentation is available online. Contact: cristen@umich.edu Genome-wide association studies (GWAS) have revealed hundreds of loci associated with common human genetic diseases and traits. We have developed a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format. LocusZoom visually displays regional information such as the strength and extent of the association signal relative to genomic position, local linkage disequilibrium (LD) and recombination patterns and the positions of genes in the region. LocusZoom can be accessed from a web interface at http://csg.sph.umich.edu/locuszoom. Users may generate a single plot using a web form, or many plots using batch mode. The software utilizes LD information from HapMap Phase II (CEU, YRI and JPT+CHB) or 1000 Genomes (CEU) and gene information from the UCSC browser, and will accept SNP identifiers in dbSNP or 1000 Genomes format. Single plots are generated in approximately 20 s. Source code and associated databases are available for download and local installation, and full documentation is available online. Genome-wide association studies (GWAS) have revealed hundreds of loci associated with common human genetic diseases and traits. We have developed a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format. LocusZoom visually displays regional information such as the strength and extent of the association signal relative to genomic position, local linkage disequilibrium (LD) and recombination patterns and the positions of genes in the region.UNLABELLEDGenome-wide association studies (GWAS) have revealed hundreds of loci associated with common human genetic diseases and traits. We have developed a web-based plotting tool that provides fast visual display of GWAS results in a publication-ready format. LocusZoom visually displays regional information such as the strength and extent of the association signal relative to genomic position, local linkage disequilibrium (LD) and recombination patterns and the positions of genes in the region.LocusZoom can be accessed from a web interface at http://csg.sph.umich.edu/locuszoom. Users may generate a single plot using a web form, or many plots using batch mode. The software utilizes LD information from HapMap Phase II (CEU, YRI and JPT+CHB) or 1000 Genomes (CEU) and gene information from the UCSC browser, and will accept SNP identifiers in dbSNP or 1000 Genomes format. Single plots are generated in approximately 20 s. Source code and associated databases are available for download and local installation, and full documentation is available online.AVAILABILITYLocusZoom can be accessed from a web interface at http://csg.sph.umich.edu/locuszoom. Users may generate a single plot using a web form, or many plots using batch mode. The software utilizes LD information from HapMap Phase II (CEU, YRI and JPT+CHB) or 1000 Genomes (CEU) and gene information from the UCSC browser, and will accept SNP identifiers in dbSNP or 1000 Genomes format. Single plots are generated in approximately 20 s. Source code and associated databases are available for download and local installation, and full documentation is available online. |
| Author | Sanna, Serena Pruim, Randall J. Boehnke, Michael Willer, Cristen J. Teslovich, Tanya M. Welch, Ryan P. Chines, Peter S. Abecasis, Gonçalo R. Gliedt, Terry P. |
| AuthorAffiliation | 1 Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, 2 Department of Biostatistics and Center for Statistical Genetics, University of Michigan, 3 Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, 4 Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and 5 National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA |
| AuthorAffiliation_xml | – name: 1 Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, 2 Department of Biostatistics and Center for Statistical Genetics, University of Michigan, 3 Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, 4 Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and 5 National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA |
| Author_xml | – sequence: 1 givenname: Randall J. surname: Pruim fullname: Pruim, Randall J. organization: Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA – sequence: 2 givenname: Ryan P. surname: Welch fullname: Welch, Ryan P. organization: Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA – sequence: 3 givenname: Serena surname: Sanna fullname: Sanna, Serena organization: Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA – sequence: 4 givenname: Tanya M. surname: Teslovich fullname: Teslovich, Tanya M. organization: Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA – sequence: 5 givenname: Peter S. surname: Chines fullname: Chines, Peter S. organization: Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA – sequence: 6 givenname: Terry P. surname: Gliedt fullname: Gliedt, Terry P. organization: Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA – sequence: 7 givenname: Michael surname: Boehnke fullname: Boehnke, Michael organization: Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA – sequence: 8 givenname: Gonçalo R. surname: Abecasis fullname: Abecasis, Gonçalo R. organization: Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA – sequence: 9 givenname: Cristen J. surname: Willer fullname: Willer, Cristen J. organization: Department of Mathematics and Statistics, Calvin College, Grand Rapids, MI 49546, Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Bioinformatics Graduate Program, The University of Michigan Medical School, Ann Arbor, MI 48109, USA, Istituto di Neurogenetica e Neurofarmacologia (INN), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari, Italy 09042 and National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23199940$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/20634204$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1002/gepi.20411 10.1101/gr.229102 10.1093/bioinformatics/btn564 10.1093/bioinformatics/btp678 10.1038/nature08494 10.1038/ng.291 10.1093/bioinformatics/btq068 10.1038/ng.140 |
| ContentType | Journal Article |
| Copyright | 2015 INIST-CNRS The Author(s) 2010. Published by Oxford University Press. 2010 |
| Copyright_xml | – notice: 2015 INIST-CNRS – notice: The Author(s) 2010. Published by Oxford University Press. 2010 |
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| DOI | 10.1093/bioinformatics/btq419 |
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| Keywords | Genome Visualization |
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| Notes | The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors. ark:/67375/HXZ-WR9D4DMX-M To whom correspondence should be addressed. istex:53181865CA683FFB8881D869855273169295D1BE ArticleID:btq419 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Associate Editor: Dmitrij Frishman |
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| References | Manolio (2023012508231027200_B7) 2009; 461 Jorgenson (2023012508231027200_B3) 2009; 33 Kent (2023012508231027200_B5) 2002; 12 Schmitt (2023012508231027200_B8) 2010; 26 Johnson (2023012508231027200_B2) 2008; 24 Loos (2023012508231027200_B6) 2008; 40 Bush (2023012508231027200_B1) 2010; 26 Kathiresan (2023012508231027200_B4) 2009; 41 |
| References_xml | – volume: 33 start-page: 599 year: 2009 ident: 2023012508231027200_B3 article-title: VALID: visualization of association study results and linkage disequilibrium publication-title: Genet. Epidemiol doi: 10.1002/gepi.20411 – volume: 12 start-page: 996 year: 2002 ident: 2023012508231027200_B5 article-title: The human genome browser at UCSC publication-title: Genome Res doi: 10.1101/gr.229102 – volume: 24 start-page: 2938 year: 2008 ident: 2023012508231027200_B2 article-title: SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap publication-title: Bioinformatics doi: 10.1093/bioinformatics/btn564 – volume: 26 start-page: 578 year: 2010 ident: 2023012508231027200_B1 article-title: Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus publication-title: Bioinformatics doi: 10.1093/bioinformatics/btp678 – volume: 461 start-page: 747 year: 2009 ident: 2023012508231027200_B7 article-title: Finding the missing heritability of complex diseases publication-title: Nature doi: 10.1038/nature08494 – volume: 41 start-page: 56 year: 2009 ident: 2023012508231027200_B4 article-title: Common variants at 30 loci contribute to polygenic dyslipidemia publication-title: Nat. Genet doi: 10.1038/ng.291 – volume: 26 start-page: 969 year: 2010 ident: 2023012508231027200_B8 article-title: CandiSNPer: a web tool for the identification of candidate SNPs for causal variants publication-title: Bioinformatics doi: 10.1093/bioinformatics/btq068 – volume: 40 start-page: 768 year: 2008 ident: 2023012508231027200_B6 article-title: Common variants near MC4R are associated with fat mass, weight and risk of obesity publication-title: Nat. Genet doi: 10.1038/ng.140 |
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| SubjectTerms | Applications Note Biological and medical sciences Computer Graphics Fundamental and applied biological sciences. Psychology General aspects Genome-Wide Association Study Humans Internet Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) Software |
| Title | LocusZoom: regional visualization of genome-wide association scan results |
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