Large-scale genome-wide association studies in east Asians identify new genetic loci influencing metabolic traits

Young Jin Kim, Min Jin Go, Cheng Hu, Chang Bum Hong, Yun Kyoung Kim, Ji Young Lee, Joo Yeon Hwang, Ji Hee Oh, Dong Joon Kim, Nam Hee Kim, Soeui Kim, Eun Jung Hong, Ji Hyun Kim, Haesook Min, Yeonjung Kim, Rong Zhang, Weiping Jia, Yukinori Okada, Atsushi Takahashi, Michiaki Kubo & 13 others Toshihiro Tanaka, Naoyuki Kamatani, Koichi Matsuda, Taesung Park, Bermseok Oh, Kuchan Kimm, Daehee Kang, Chol Shin, Nam H. Cho, Hyung Lae Kim, Bok Ghee Han, Jong Young Lee, Yoon Shin Cho

Research output: Contribution to journalArticle

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Abstract

To identify the genetic bases for nine metabolic traits, we conducted a meta-analysis combining Korean genome-wide association results from the KARE project (n = 8,842) and the HEXA shared control study (n = 3,703). We verified the associations of the loci selected from the discovery meta-analysis in the replication stage (30,395 individuals from the BioBank Japan genome-wide association study and individuals comprising the Health2 and Shanghai Jiao Tong University Diabetes cohorts). We identified ten genome-wide significant signals newly associated with traits from an overall meta-analysis. The most compelling associations involved 12q24.11 (near MYL2) and 12q24.13 (in C12orf51) for high-density lipoprotein cholesterol, 2p21 (near SIX2-SIX3) for fasting plasma glucose, 19q13.33 (in RPS11) and 6q22.33 (in RSPO3) for renal traits, and 12q24.11 (near MYL2), 12q24.13 (in C12orf51 and near OAS1), 4q31.22 (in ZNF827) and 7q11.23 (near TBL2-BCL7B) for hepatic traits. These findings highlight previously unknown biological pathways for metabolic traits investigated in this study.

Original languageEnglish
Pages (from-to)990-997
Number of pages8
JournalNature Genetics
Volume43
Issue number10
DOIs
Publication statusPublished - 01-10-2011

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Genetic Loci
Genome-Wide Association Study
Meta-Analysis
Genome
Metabolic Networks and Pathways
HDL Cholesterol
Fasting
Japan
Kidney
Glucose
Liver

All Science Journal Classification (ASJC) codes

  • Genetics

Cite this

Kim, Y. J., Go, M. J., Hu, C., Hong, C. B., Kim, Y. K., Lee, J. Y., ... Cho, Y. S. (2011). Large-scale genome-wide association studies in east Asians identify new genetic loci influencing metabolic traits. Nature Genetics, 43(10), 990-997. https://doi.org/10.1038/ng.939
Kim, Young Jin ; Go, Min Jin ; Hu, Cheng ; Hong, Chang Bum ; Kim, Yun Kyoung ; Lee, Ji Young ; Hwang, Joo Yeon ; Oh, Ji Hee ; Kim, Dong Joon ; Kim, Nam Hee ; Kim, Soeui ; Hong, Eun Jung ; Kim, Ji Hyun ; Min, Haesook ; Kim, Yeonjung ; Zhang, Rong ; Jia, Weiping ; Okada, Yukinori ; Takahashi, Atsushi ; Kubo, Michiaki ; Tanaka, Toshihiro ; Kamatani, Naoyuki ; Matsuda, Koichi ; Park, Taesung ; Oh, Bermseok ; Kimm, Kuchan ; Kang, Daehee ; Shin, Chol ; Cho, Nam H. ; Kim, Hyung Lae ; Han, Bok Ghee ; Lee, Jong Young ; Cho, Yoon Shin. / Large-scale genome-wide association studies in east Asians identify new genetic loci influencing metabolic traits. In: Nature Genetics. 2011 ; Vol. 43, No. 10. pp. 990-997.
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abstract = "To identify the genetic bases for nine metabolic traits, we conducted a meta-analysis combining Korean genome-wide association results from the KARE project (n = 8,842) and the HEXA shared control study (n = 3,703). We verified the associations of the loci selected from the discovery meta-analysis in the replication stage (30,395 individuals from the BioBank Japan genome-wide association study and individuals comprising the Health2 and Shanghai Jiao Tong University Diabetes cohorts). We identified ten genome-wide significant signals newly associated with traits from an overall meta-analysis. The most compelling associations involved 12q24.11 (near MYL2) and 12q24.13 (in C12orf51) for high-density lipoprotein cholesterol, 2p21 (near SIX2-SIX3) for fasting plasma glucose, 19q13.33 (in RPS11) and 6q22.33 (in RSPO3) for renal traits, and 12q24.11 (near MYL2), 12q24.13 (in C12orf51 and near OAS1), 4q31.22 (in ZNF827) and 7q11.23 (near TBL2-BCL7B) for hepatic traits. These findings highlight previously unknown biological pathways for metabolic traits investigated in this study.",
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Kim, YJ, Go, MJ, Hu, C, Hong, CB, Kim, YK, Lee, JY, Hwang, JY, Oh, JH, Kim, DJ, Kim, NH, Kim, S, Hong, EJ, Kim, JH, Min, H, Kim, Y, Zhang, R, Jia, W, Okada, Y, Takahashi, A, Kubo, M, Tanaka, T, Kamatani, N, Matsuda, K, Park, T, Oh, B, Kimm, K, Kang, D, Shin, C, Cho, NH, Kim, HL, Han, BG, Lee, JY & Cho, YS 2011, 'Large-scale genome-wide association studies in east Asians identify new genetic loci influencing metabolic traits', Nature Genetics, vol. 43, no. 10, pp. 990-997. https://doi.org/10.1038/ng.939

Large-scale genome-wide association studies in east Asians identify new genetic loci influencing metabolic traits. / Kim, Young Jin; Go, Min Jin; Hu, Cheng; Hong, Chang Bum; Kim, Yun Kyoung; Lee, Ji Young; Hwang, Joo Yeon; Oh, Ji Hee; Kim, Dong Joon; Kim, Nam Hee; Kim, Soeui; Hong, Eun Jung; Kim, Ji Hyun; Min, Haesook; Kim, Yeonjung; Zhang, Rong; Jia, Weiping; Okada, Yukinori; Takahashi, Atsushi; Kubo, Michiaki; Tanaka, Toshihiro; Kamatani, Naoyuki; Matsuda, Koichi; Park, Taesung; Oh, Bermseok; Kimm, Kuchan; Kang, Daehee; Shin, Chol; Cho, Nam H.; Kim, Hyung Lae; Han, Bok Ghee; Lee, Jong Young; Cho, Yoon Shin.

In: Nature Genetics, Vol. 43, No. 10, 01.10.2011, p. 990-997.

Research output: Contribution to journalArticle

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T1 - Large-scale genome-wide association studies in east Asians identify new genetic loci influencing metabolic traits

AU - Kim, Young Jin

AU - Go, Min Jin

AU - Hu, Cheng

AU - Hong, Chang Bum

AU - Kim, Yun Kyoung

AU - Lee, Ji Young

AU - Hwang, Joo Yeon

AU - Oh, Ji Hee

AU - Kim, Dong Joon

AU - Kim, Nam Hee

AU - Kim, Soeui

AU - Hong, Eun Jung

AU - Kim, Ji Hyun

AU - Min, Haesook

AU - Kim, Yeonjung

AU - Zhang, Rong

AU - Jia, Weiping

AU - Okada, Yukinori

AU - Takahashi, Atsushi

AU - Kubo, Michiaki

AU - Tanaka, Toshihiro

AU - Kamatani, Naoyuki

AU - Matsuda, Koichi

AU - Park, Taesung

AU - Oh, Bermseok

AU - Kimm, Kuchan

AU - Kang, Daehee

AU - Shin, Chol

AU - Cho, Nam H.

AU - Kim, Hyung Lae

AU - Han, Bok Ghee

AU - Lee, Jong Young

AU - Cho, Yoon Shin

PY - 2011/10/1

Y1 - 2011/10/1

N2 - To identify the genetic bases for nine metabolic traits, we conducted a meta-analysis combining Korean genome-wide association results from the KARE project (n = 8,842) and the HEXA shared control study (n = 3,703). We verified the associations of the loci selected from the discovery meta-analysis in the replication stage (30,395 individuals from the BioBank Japan genome-wide association study and individuals comprising the Health2 and Shanghai Jiao Tong University Diabetes cohorts). We identified ten genome-wide significant signals newly associated with traits from an overall meta-analysis. The most compelling associations involved 12q24.11 (near MYL2) and 12q24.13 (in C12orf51) for high-density lipoprotein cholesterol, 2p21 (near SIX2-SIX3) for fasting plasma glucose, 19q13.33 (in RPS11) and 6q22.33 (in RSPO3) for renal traits, and 12q24.11 (near MYL2), 12q24.13 (in C12orf51 and near OAS1), 4q31.22 (in ZNF827) and 7q11.23 (near TBL2-BCL7B) for hepatic traits. These findings highlight previously unknown biological pathways for metabolic traits investigated in this study.

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