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Large-scale genome-wide association study of Asian population reveals genetic factors in FRMD4A and other loci influencing smoking initiation and nicotine dependence

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Abstract

Diseases related to smoking are the second leading cause of death in the world. Cigarette smoking is a risk factor for several diseases such as cancer and cardiovascular and respiratory disorders. Despite increasing evidence of genetic determination, the susceptibility genes and loci underlying various aspects of smoking behavior are largely unknown. Moreover, almost all reported genome-wide association studies (GWASs) have been performed on samples of European origin, limiting the applicability of the results to other ethnic populations. In this first GWAS on smoking behavior in an Asian population, after analyzing 8,842 DNA samples from the Korea Association Resource project with 352,228 single nucleotide polymorphisms (SNPs) genotyped for each sample, we identified 8 SNPs significantly associated with smoking initiation (SI) and 4 with nicotine dependence (ND). Because of the current unavailability of an independent Asian smoking sample, we replicated the discoveries in independent samples of European-American and African-American origin. Of the 12 SNPs examined in the replicated samples, we identified two SNPs, in the regulator of G-protein signaling 17 gene (rs7747583, p valuemeta = 6.40 × 10−6; rs2349433, p valuemeta = 5.57 × 10−6), associated with SI. Also, we found two SNPs significantly associated with ND; one in the FERM domain containing 4A (rs4424567, p valuemeta = 2.30 × 10−6) and the other at 7q31.1 (rs848353, p valuemeta = 9.16 × 10−8). These SNPs represent novel targets for examination of smoking behavior and warrant further investigation using independent samples.

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Acknowledgments

This work was supported by a grant from the National Institute of Health of Korea 2009-E73007-00 and National Research Foundation NRF-2008-313-C00146 to TP; and National Institutes of Health grant DA-12844 to MDL. The KARE data were obtained from the Korean Genome Analysis Project 4845-301, which was funded by a grant from the Korea National Institute of Health (Korea Center for Disease Control, Ministry for Health, Welfare and Family Affairs), Republic of Korea. We are grateful for the invaluable contributions of clinical information and tissue samples by the participants in this study, as well as for the dedicated work of the research staff at the clinical sites and molecular research laboratory. We thank Nam H. Cho (Department of Preventive Medicine, Ajou University, South Korea) and Chol Shin (Department of Internal Medicine, Korea University Ansan Hospital, South Korea) for their great efforts in generating and providing these valuable data. We also thank Dr. David L. Bronson for his excellent editing of this manuscript.

Conflict of interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 151-742, Korea

    Dankyu Yoon & Young-Jin Kim

  2. Center for Genome Science, Korea National Institute of Health, Osong, 363-951, Korea

    Young-Jin Kim, Yoon Shin Cho & Jong-Young Lee

  3. State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China

    Wen-Yan Cui & Ming D. Li

  4. Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, 1670 Discovery Drive, Suite 110, Charlottesville, VA, 22911, USA

    Wen-Yan Cui, Andrew Van der Vaart & Ming D. Li

  5. Department of Public Health Sciences, University of Virginia, Charlottesville, VA, 22903, USA

    Jennie Z. Ma

  6. Department of Otolaryngology and Communicative Sciences, University of Mississippi Medical Center, Jackson, MS, 39216, USA

    Thomas J. Payne

  7. Department of Statistics, College of Natural Science, Seoul National University, Seoul, 151-742, Korea

    Taesung Park

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  1. Dankyu Yoon
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  2. Young-Jin Kim
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  3. Wen-Yan Cui
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  4. Andrew Van der Vaart
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  5. Yoon Shin Cho
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  7. Jennie Z. Ma
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  8. Thomas J. Payne
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  9. Ming D. Li
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  10. Taesung Park
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Correspondence to Ming D. Li or Taesung Park.

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Yoon, D., Kim, YJ., Cui, WY. et al. Large-scale genome-wide association study of Asian population reveals genetic factors in FRMD4A and other loci influencing smoking initiation and nicotine dependence. Hum Genet 131, 1009–1021 (2012). https://doi.org/10.1007/s00439-011-1102-x

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