Genome-wide association study on antipsychotic-induced weight gain in the CATIE sample

E. J. Brandl, A. K. Tiwari, C. C. Zai, E. L. Nurmi, N. I. Chowdhury, T. Arenovich, M. Sanches, V. F. Goncalves, J. J. Shen, J. A. Lieberman, H. Y. Meltzer, J. L. Kennedy, D. J. Müller*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Antipsychotic-induced weight gain (AIWG) is a common side effect with a high genetic contribution. We reanalyzed genome-wide association study (GWAS) data from the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) selecting a refined subset of patients most suitable for AIWG studies. The final GWAS was conducted in N=189 individuals. The top polymorphisms were analyzed in a second cohort of N=86 patients. None of the single-nucleotide polymorphisms was significant at the genome-wide threshold of 5x10 -8. We observed interesting trends for rs9346455 (P=6.49x10 -6) upstream of OGFRL1, the intergenic variants rs7336345 (P=1.31 × 10 -5) and rs1012650 (P=1.47 × 10 -5), and rs1059778 (P=1.49x10 -5) in IBA57. In the second cohort, rs9346455 showed significant association with AIWG (P=0.005). The combined meta-analysis P-value for rs9346455 was 1.09 × 10 -7. Our reanalysis of the CATIE GWAS data revealed interesting new variants associated with AIWG. As the functional relevance of these polymorphisms is yet to be determined, further studies are needed.

Original languageEnglish (US)
Pages (from-to)352-356
Number of pages5
JournalPharmacogenomics Journal
Volume16
Issue number4
DOIs
StatePublished - Aug 1 2016

ASJC Scopus subject areas

  • Molecular Medicine
  • Genetics
  • Pharmacology

Fingerprint Dive into the research topics of 'Genome-wide association study on antipsychotic-induced weight gain in the CATIE sample'. Together they form a unique fingerprint.

Cite this