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Genomewide suggestive linkage of opioid dependence to chromosome 14q

  • Herbert M. Lachman
  • , Cathy S.J. Fann
  • , Michael Bartzis
  • , Oleg V. Evgrafov
  • , Richard N. Rosenthal
  • , Edward V. Nunes
  • , Christian Miner
  • , Maria Santana
  • , Jebediah Gaffney
  • , Amy Riddick
  • , Chia Lin Hsu
  • , James A. Knowles
  • Albert Einstein College of Medicine
  • Academia Sinica - Institute of Biomedical Sciences
  • Columbia University
  • University of Southern California
  • Continuum Health Partners, Inc.

Research output: Contribution to journalArticlepeer-review

86 Scopus citations

Abstract

The genetic predisposition to addiction to opioids and other substances is transmitted as a complex genetic trait, which investigators are attempting to characterize using genetic linkage and association. We now report a high-density genome-wide linkage study of opioid dependence. We ascertained 305 DSM-IV opioid dependent affected sibling pairs from an ethnically mixed population of methadone maintained subjects and genotyped their DNA using Affymetrix 10K v2 arrays. Analysis with MERLIN identified a region on chromosome 14q with a non-parametric lod (NPL) of 3.30. Secondary analyses indicated that this locus was relatively specific to the self-identified Puerto Rican subset, as the NPL increased from 3.30 to 5.00 (NPLCaucasian = 5 0.05 and NPLAfrican Amer. = 5 0.15). The 14q peak encompasses the NRXN3 gene (neurexin 3), which was previously identified as a potential candidate gene for addiction. Secondary analyses also identified several regions with gender-specific NPL scores greater than 2.00. The most significant was a peak on (10q) that increased from 0.90 to 3.22 when only males were considered (NPLfemale = 5 0.05). Our linkage data suggest specific chromosomal loci for future fine-mapping genetic analysis and support the hypothesis that ethnic and gender specific genes underlie addiction susceptibility.

Original languageEnglish
Pages (from-to)1327-1334
Number of pages8
JournalHuman Molecular Genetics
Volume16
Issue number11
DOIs
StatePublished - Jun 2007

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