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  <docDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv"></titl>
        <parTitl xml:lang="en">Dog-human gene network colocalization links synaptic signalling and ubiquitination to compulsive disorders</parTitl>
        <IDNo agency="SND">doi-10-17044-scilifelab-33339309-0</IDNo>
        <IDNo agency="DOI">https://doi.org/10.17044/SCILIFELAB.33339309</IDNo>
      </titlStmt>
      <prodStmt>
        <producer xml:lang="en" abbr="SND">Swedish National Data Service</producer>
        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
      </prodStmt>
      <holdings URI="https://doi.org/10.17044/SCILIFELAB.33339309">Landing page</holdings>
    </citation>
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  <stdyDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv"></titl>
        <parTitl xml:lang="en">Dog-human gene network colocalization links synaptic signalling and ubiquitination to compulsive disorders</parTitl>
        <IDNo agency="SND">doi-10-17044-scilifelab-33339309-0</IDNo>
        <IDNo agency="DOI">https://doi.org/10.17044/SCILIFELAB.33339309</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="Science for Life Laboratory">Tengvall, Katarina</AuthEnty>
        <AuthEnty xml:lang="en" affiliation="Science for Life Laboratory">Meadows, Jennifer</AuthEnty>
      </rspStmt>
      <prodStmt>
        <grantNo xml:lang="en" agency="Swedish Research Council">2015-02271_VR</grantNo>
        <grantNo xml:lang="en" agency="Swedish Research Council">2020-01343_VR</grantNo>
        <grantNo xml:lang="en" agency="Swedish Research Council">2025-06864_VR</grantNo>
        <grantNo xml:lang="en" agency="Swedish Research Council">2012-07111_VR</grantNo>
        <grantNo xml:lang="en" agency="Swedish Research Council">2018-02487_VR</grantNo>
        <grantNo xml:lang="en" agency="Swedish Research Council for Health Working Life and Welfare">2018-00221_Forte</grantNo>
        <grantNo xml:lang="en" agency="National Institute of Mental Health">R01MH110427</grantNo>
      </prodStmt>
      <distStmt>
        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2026-09-14" />
      </distStmt>
      <verStmt>
        <version elementVersion="0" elementVersionDate="2026-09-14" />
      </verStmt>
      <holdings URI="https://doi.org/10.17044/SCILIFELAB.33339309">Landing page</holdings>
    </citation>
    <stdyInfo>
      <subject />
      <abstract xml:lang="en" contentType="abstract">Obsessive-compulsive disorder (OCD) is highly polygenic, and the largest genome-wide association study (GWAS) to date — 53,660 cases and 2,044,417 controls — identified only 30 loci, a small fraction of those expected to cause disease and too few to resolve the underlying biological pathways. Some dogs naturally develop a compulsive disorder (dogCD) with parallels to human OCD, and the distinctive population structure of pet dogs reduces sample sizes needed for discovery of associated loci. 

Here, we generated high-density genotypes (SNPsₘₐₓ = 9,885,182, MAF ≥ 1%) for 2,584 dogs with measures across 14 items and 3 factors describing the dogCD phenotypes using low-pass sequencing (mean depth = 0.83, s.d. = 0.35, N = 2,211) or SNP arrays (Axiom Canine Array A+B with 1,011,992 SNPs, N = 373) followed by imputation with the Dog10K reference panel. We tested for association using mixed-model approaches that account for population structure: MLMA-LOCO for the three latent factors and POLMM for 14 ordinal survey items and combined results to define a consensus set of non-overlapping associated loci.

We then use cross-species network colocalization to combine the GWAS in 2,584 dogs, recruited through the community science project Darwin's Ark, with the OCD GWAS, identifying a 165-gene network not discernible from the current human data alone. Combining dog and human GWAS implicates an inherited risk architecture largely outside current OCD pharmacotherapy and establishes pet dogs as a tractable model for psychiatric gene network discovery, particularly for conditions underpowered in human studies alone.

Data in storage includes Darwin's Ark genotype files:

- affy_round3 = Axiom Canine Array A+B with 1,011,992 SNPs, N = 411 mapped to CanFam3.1
- DA_MERGED_GENCOVE_AXIOM_QC5 = 3328 dogs &amp; 12518078 SNPs mapped to CanFam4. Imputed with the Dog10K reference panel. Dataset is merged from Axiom Canine array (lifted and imputed, N=411) and Gencove low-pass sequencing (mapped to Cf4 and imputed, N=2917). This is the dataset before separating them into 17 dogCD phenotypes.
- 17 sets of sumstats (ITEM*sumstats &amp; CCDF*_sumstats) from the GWAS of each items (N=14) and factor (N=3).
- ALLFAM_sex_age_phenos.txt includes all phenotypes and covariates for dogs included in each separate plink gwas files (OBS for CCDF1 and CCF2: dogs with factor scores with only one item loading to that factor are excluded).</abstract>
      <sumDscr />
    </stdyInfo>
    <method>
      <dataColl />
    </method>
    <dataAccs>
      <useStmt>
        <restrctn xml:lang="en">Access to data through an external actor. </restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via extern aktör. </restrctn>
      </useStmt>
    </dataAccs>
    <othrStdyMat />
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