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               <dc:title>A Genome-Wide Pharmacogenetic Study of Growth Hormone Responsiveness</dc:title>
               <dc:creator>Dauber, Andrew</dc:creator>
               <dc:creator>Meng, Yan</dc:creator>
               <dc:creator>Audí, Laura</dc:creator>
               <dc:creator>Vedantam, Sailaja</dc:creator>
               <dc:creator>Weaver, Benjamin</dc:creator>
               <dc:creator>Carrascosa Lezcano, Antonio</dc:creator>
               <dc:creator>Albertsson-Wikland, Kerstin</dc:creator>
               <dc:creator>Ranke, Michael B.</dc:creator>
               <dc:creator>Jorge, Alexander A. L.</dc:creator>
               <dc:creator>Cara, Jose</dc:creator>
               <dc:creator>Wajnrajch, Michael P.</dc:creator>
               <dc:creator>Lindberg, Anders</dc:creator>
               <dc:creator>Camacho-Hübner, Cecilia</dc:creator>
               <dc:creator>Hirschhorn, Joel N.</dc:creator>
               <dc:creator>Universitat Autònoma de Barcelona</dc:creator>
               <dc:subject>Growth hormone</dc:subject>
               <dc:subject>Pharmacogenetics</dc:subject>
               <dc:subject>Short stature</dc:subject>
               <dc:subject>Genome-wide association</dc:subject>
               <dc:description>Individual patients vary in their response to growth hormone (GH). No large-scale genome-wide studies have looked for genetic predictors of GH responsiveness. To identify genetic variants associated with GH responsiveness. Genome-wide association study (GWAS). Cohorts from multiple academic centers and a clinical trial. A total of 614 individuals from 5 short stature cohorts receiving GH: 297 with idiopathic short stature, 276 with isolated GH deficiency, and 65 born small for gestational age. Association of more than 2 million variants was tested. Primary analysis: individual single nucleotide polymorphism (SNP) association with first-year change in height standard deviation scores. Secondary analyses: SNP associations in clinical subgroups adjusted for clinical variables; association of polygenic score calculated from 697 genome-wide significant height SNPs with GH responsiveness. No common variant associations reached genome-wide significance in the primary analysis. The strongest suggestive signals were found near the B4GALT4 and TBCE genes. After meta-analysis including replication data, signals at several loci reached or retained genome-wide significance in secondary analyses, including variants near ST3GAL6. There was no significant association with variants previously reported to be associated with GH response nor with a polygenic predicted height score. We performed the largest GWAS of GH responsiveness to date. We identified 2 loci with a suggestive effect on GH responsiveness in our primary analysis and several genome-wide significant associations in secondary analyses that require further replication. Our results are consistent with a polygenic component to GH responsiveness, likely distinct from the genetic regulators of adult height.</dc:description>
               <dc:date>2024-11-01T00:07:59Z</dc:date>
               <dc:date>2024-11-01T00:07:59Z</dc:date>
               <dc:date>2020</dc:date>
               <dc:type>Article</dc:type>
               <dc:identifier>http://hdl.handle.net/2072/455705</dc:identifier>
               <dc:relation>The journal of clinical endocrinology &amp; metabolism ; Vol. 105 (july 2020), p. 3203-3214</dc:relation>
               <dc:rights>open access</dc:rights>
               <dc:rights>Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.</dc:rights>
               <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
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