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    <p>Hi<br>
      <br>
      For  <a class="moz-txt-link-freetext" href="http://feb2014.archive.ensembl.org">http://feb2014.archive.ensembl.org</a>, variants with phenotypes
      with non-significant associations, are not shown on the website. <br>
      <br>
      The non-significant phenotype associations are available through
      the Ensembl BioMart for this release.</p>
    <p>In BioMart you can filter and display Phenotype significance [0
      non significant, 1 significant]<br>
    </p>
    <p>For later releases we stopped using this filtering. <br>
      <br>
      If possible, using more recent data from a later release would be
      beneficial. <br>
    </p>
    <p>Regards<br>
      Helen<br>
    </p>
    <p><br>
    </p>
    <div class="moz-cite-prefix">On 02/11/2020 13:05, Türküler Özgümüş
      wrote:<br>
    </div>
    <blockquote type="cite"
      cite="mid:20201102130623.A68D962A52F_FA0044FB@hh-mx3.ebi.ac.uk">
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        <div>Hi,</div>
        <div><br>
        </div>
        <div>I am using the below code to map some SNP IDs to the
          following attributes. I have a problem with
          phenotype_description. Some of the SNPs match phenotypes such
          as BMI, fasting plasma glucose and fasting insulin whereas
          there is no such information on the webpage for the same SNPs
          on ensembl or gwas catalog (For example, rs546206 and
          rs11877729). Is this a problem with the database? If it is not
          where is this information coming from?</div>
        <div><br>
        </div>
        <div>Thank you for your help.<br>
        </div>
        <div><br>
        </div>
        <div>Best,</div>
        <div>Turkuler<br>
        </div>
        <div><span
            style="color:rgb(230,225,220);font-family:"DejaVu
            Sans","Lucida Grande","Segoe
UI",Verdana,Helvetica,sans-serif;font-size:11px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:nowrap;word-spacing:0px;background-color:rgb(22,22,22);text-decoration-style:initial;text-decoration-color:initial;display:inline;float:none"><span
              style="color:rgb(230,225,220);font-family:"DejaVu
              Sans","Lucida Grande","Segoe
UI",Verdana,Helvetica,sans-serif;font-size:11px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:nowrap;word-spacing:0px;background-color:rgb(22,22,22);text-decoration-style:initial;text-decoration-color:initial;display:inline;float:none"></span></span></div>
        <div><br>
        </div>
        <div>-------------------------------------------------------------------------------------------------------------------</div>
        <div><b>code:</b><br>
        </div>
        <div>snp_mart <- useMart("ENSEMBL_MART_SNP",
          dataset="hsapiens_snp", host = "<a
            href="http://feb2014.archive.ensembl.org" target="_blank"
            moz-do-not-send="true">http://feb2014.archive.ensembl.org</a>")</div>
        snp_ids <- df_FDR005$SNP<br>
        snp_attributes <- c("refsnp_id", "chr_name", "chrom_start",
        "clinical_significance", <br>
                            "associated_gene", "phenotype_description",
        "ensembl_gene_stable_id",<br>
                            "ensembl_transcript_stable_id",
        "consequence_type_tv",<br>
                            "polyphen_prediction", "polyphen_score",
        "sift_prediction", "sift_score",<br>
                            "consequence_types_20126")<br>
        snp_locations <- getBM(attributes=snp_attributes,
        filters="snp_filter", <br>
        <div>                      values=snp_ids, mart=snp_mart)</div>
        <div><br>
        </div>
        <div><b>sessionInfo()</b><br>
          R version 4.0.3 (2020-10-10)<br>
          Platform: x86_64-apple-darwin17.0 (64-bit)<br>
          Running under: macOS Catalina 10.15.7<br>
          <br>
          Matrix products: default<br>
          BLAS:  
/System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib<br>
          LAPACK:
/Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib<br>
          <br>
          locale:<br>
          [1]
          en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8<br>
          <br>
          attached base packages:<br>
          [1] stats     graphics  grDevices utils     datasets  methods
            base     <br>
          <br>
          other attached packages:<br>
           [1] biomaRt_2.44.1  forcats_0.5.0   stringr_1.4.0  
          dplyr_1.0.1     purrr_0.3.4     readr_1.3.1     tidyr_1.1.1  
           <br>
           [8] tibble_3.0.3    ggplot2_3.3.2   tidyverse_1.3.0<br>
          <br>
          loaded via a namespace (and not attached):<br>
           [1] Biobase_2.48.0       httr_1.4.2           bit64_4.0.2    
               jsonlite_1.7.0       modelr_0.1.8        <br>
           [6] assertthat_0.2.1     askpass_1.1          stats4_4.0.3  
                BiocFileCache_1.12.1 blob_1.2.1          <br>
          [11] cellranger_1.1.0     yaml_2.2.1           progress_1.2.2
                pillar_1.4.6         RSQLite_2.2.0       <br>
          [16] backports_1.1.8      glue_1.4.1           digest_0.6.25  
               rvest_0.3.6          snakecase_0.11.0    <br>
          [21] colorspace_1.4-1     htmltools_0.5.0      XML_3.99-0.5  
                pkgconfig_2.0.3      broom_0.7.0         <br>
          [26] haven_2.3.1          scales_1.1.1         openssl_1.4.2  
               generics_0.0.2       IRanges_2.22.2      <br>
          [31] ellipsis_0.3.1       withr_2.2.0          janitor_2.0.1  
               BiocGenerics_0.34.0  cli_2.0.2           <br>
          [36] magrittr_1.5         crayon_1.3.4         readxl_1.3.1  
                memoise_1.1.0        evaluate_0.14       <br>
          [41] fs_1.5.0             fansi_0.4.1          xml2_1.3.2    
                tools_4.0.3          prettyunits_1.1.1   <br>
          [46] hms_0.5.3            lifecycle_0.2.0    
           S4Vectors_0.26.1     munsell_0.5.0        reprex_0.3.0      
           <br>
          [51] AnnotationDbi_1.50.3 compiler_4.0.3       rlang_0.4.7    
               grid_4.0.3           rstudioapi_0.11     <br>
          [56] rappdirs_0.3.1       rmarkdown_2.3        gtable_0.3.0  
                DBI_1.1.0            curl_4.3            <br>
          [61] R6_2.4.1             lubridate_1.7.9      knitr_1.29    
                bit_4.0.4            utf8_1.1.4          <br>
          [66] stringi_1.4.6        parallel_4.0.3       Rcpp_1.0.5    
                vctrs_0.3.2          dbplyr_1.4.4        <br>
          [71] tidyselect_1.1.0     xfun_0.16   <br>
        </div>
        <div>-----------------------------------------------------------------------------------------------------------</div>
        <div><br>
        </div>
        <div>Turkuler Ozgumus<br>
          Postdoctoral researcher<br>
          Department of Clinical Science (K2)<br>
          University of Bergen<br>
          Bergen, Norway</div>
      </div>
      <br>
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      <pre class="moz-quote-pre" wrap="">_______________________________________________
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