{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T18:08:28Z","timestamp":1776794908222,"version":"3.51.2"},"reference-count":15,"publisher":"Oxford University Press (OUP)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: An important computational step following genome-wide association studies (GWAS) is to assess whether disease or trait-associated single-nucleotide polymorphisms (SNPs) enrich for particular biological annotations. SNP-based enrichment analysis needs to account for biases such as co-localization of GWAS signals to gene-dense and high linkage disequilibrium (LD) regions, and correlations of gene size, location and function. The SNPsnap Web server enables SNP-based enrichment analysis by providing matched sets of SNPs that can be used to calibrate background expectations. Specifically, SNPsnap efficiently identifies sets of randomly drawn SNPs that are matched to a set of query SNPs based on allele frequency, number of SNPs in LD, distance to nearest gene and gene density.<\/jats:p>\n               <jats:p>Availability and implementation: SNPsnap server is available at http:\/\/www.broadinstitute.org\/mpg\/snpsnap\/ .<\/jats:p>\n               <jats:p>Contact: \u00a0joelh@broadinstitute.org<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btu655","type":"journal-article","created":{"date-parts":[[2014,10,15]],"date-time":"2014-10-15T02:56:07Z","timestamp":1413341767000},"page":"418-420","source":"Crossref","is-referenced-by-count":184,"title":["SNPsnap: a Web-based tool for identification and annotation of matched SNPs"],"prefix":"10.1093","volume":"31","author":[{"given":"Tune H.","family":"Pers","sequence":"first","affiliation":[{"name":"1 Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children\u2019s Hospital, Boston, MA 02115, 2 Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA 2142, USA, 3 Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark and 4 Department of Genetics, Harvard Medical School, Boston, MA 02115, USA"},{"name":"1 Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children\u2019s Hospital, Boston, MA 02115, 2 Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA 2142, USA, 3 Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark and 4 Department of Genetics, Harvard Medical School, Boston, MA 02115, USA"},{"name":"1 Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children\u2019s Hospital, Boston, MA 02115, 2 Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA 2142, USA, 3 Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark and 4 Department of Genetics, Harvard Medical School, Boston, MA 02115, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pascal","family":"Timshel","sequence":"additional","affiliation":[{"name":"1 Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children\u2019s Hospital, Boston, MA 02115, 2 Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA 2142, USA, 3 Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark and 4 Department of Genetics, Harvard Medical School, Boston, MA 02115, USA"},{"name":"1 Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children\u2019s Hospital, Boston, MA 02115, 2 Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA 2142, USA, 3 Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark and 4 Department of Genetics, Harvard Medical School, Boston, MA 02115, USA"},{"name":"1 Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children\u2019s Hospital, Boston, MA 02115, 2 Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA 2142, USA, 3 Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark and 4 Department of Genetics, Harvard Medical School, Boston, MA 02115, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joel 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Endocrinology and Center for Basic and Translational Obesity Research, Boston Children\u2019s Hospital, Boston, MA 02115, 2 Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA 2142, USA, 3 Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark and 4 Department of Genetics, Harvard Medical School, Boston, MA 02115, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2014,12,15]]},"reference":[{"key":"2023020116162207300_btu655-B1","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/nature11632","article-title":"An integrated map of genetic variation from 1,092 human genomes","volume":"491","author":"Abecasis","year":"2012","journal-title":"Nature"},{"key":"2023020116162207300_btu655-B2","doi-asserted-by":"crossref","first-page":"D749","DOI":"10.1093\/nar\/gkt1196","article-title":"Ensembl 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