Genetic Structure Adds Power to Detect Schizophrenia Susceptibility at SLIT3 in the Chinese Han Population

  1. YongYong Shi1,2,
  2. XinZhi Zhao1,2,
  3. Lan Yu2,6,
  4. Ran Tao2,6,
  5. JunXia Tang2,6,
  6. YuJuan La1,2,
  7. Yun Duan2,6,
  8. Bo Gao1,2,
  9. NiuFan Gu3,
  10. YiFeng Xu3,
  11. GuoYin Feng3,
  12. ShaoMin Zhu4,
  13. HuiJun Liu4,
  14. Hugh Salter5, and
  15. Lin He2,6,7
  1. 1 Bio-X Life Science Research Center, Shanghai Jiao Tong University, Shanghai 200030, China
  2. 2 Institute for Nutritional Sciences, SIBS, Chinese Academy of Sciences, Shanghai 200031, China
  3. 3 Shanghai Institute of Mental Health, Shanghai 200030, China
  4. 4 JiLin Institute of Mental Health, JiLin, China
  5. 5 AstraZeneca R&D Södertälje, Novum Research Park, S-141 57 Huddinge, Sweden
  6. 6 Bio-X Life Science Research Center, Shanghai Jiao Tong University, Shanghai 200030, China

Abstract

The Chinese Han population, the largest population in the world, has traditionally been geographically divided into two parts, the Southern Han and Northern Han. In practice, however, these commonly used ethnic labels are both insufficient and inaccurate as descriptors of inferred genetic clustering, and can lead to the observation of “spurious association” as well as the concealment of real association. In this study, we attempted to address this problem by using 14 microsatellite markers to reconstruct the population genetic structure in 768 Han Chinese samples, including 384 Southern Han and 384 Northern Han, and in samples from Chinese minorities including 48 Yao and 48 BouYei subjects. Furthermore, with a dense set of markers around the region 5q34–35, we built fine-scale haplotype networks for each population/subpopulation and tested for association to schizophrenia susceptibility. We found that more variants in SLIT3 tend to associate with schizophrenia susceptibility in the genetically structured samples, compared to geographically structured samples and samples without identified population substructure. Our results imply that identifying the hidden genetic substructure adds power when detecting association, and suggest that SLIT3 or a nearby gene is associated with schizophrenia.

Footnotes

  • [Supplemental material is available online at www.genome.org.]

  • Article and publication are at http://www.genome.org/cgi/doi/10.1101/gr.1758204.

  • 7 Corresponding author. E-MAIL helin{at}nhgg.org; FAX 86 21 6282-2491.

    • Accepted April 28, 2004.
    • Received July 17, 2003.
| Table of Contents

Preprint Server