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; 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

doi:10.1038/ng.939

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 KuboToshihiro 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

Department of Biomedical Sciences

Research output: Contribution to journal › Article › peer-review

216 Citations (Scopus)

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 language	English
Pages (from-to)	990-997
Number of pages	8
Journal	Nature Genetics
Volume	43
Issue number	10
DOIs	https://doi.org/10.1038/ng.939
Publication status	Published - 2011 Oct

ASJC Scopus subject areas

Genetics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1038/ng.939

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Kim, Y. J., Go, M. J., Hu, C., Hong, C. B., Kim, Y. K., Lee, J. Y., Hwang, J. Y., Oh, J. H., Kim, D. J., Kim, N. H., Kim, S., Hong, E. J., Kim, J. H., Min, H., Kim, Y., Zhang, R., Jia, W., Okada, Y., Takahashi, A., ... 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, 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

@article{b7608e16b94f42f5bc9ef4c6a33c77d7,

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

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.",

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

note = "Funding Information: This work was supported by grants from Korea Centers for Disease Control and Prevention (4845-301, 4851-302, 4851-307) and an intramural grant from the Korea National Institute of Health (2010-N73002-00), the Republic of Korea. The Shanghai study was supported by grants from National 973 Program (2011CB504001), National Natural Science Foundation of China (30800617), China. BioBank Japan project is supported by the Ministry of Education, Culture, Sports, Science and Technology of Japan.",

year = "2011",

month = oct,

doi = "10.1038/ng.939",

language = "English",

volume = "43",

pages = "990--997",

journal = "Nature Genetics",

issn = "1061-4036",

publisher = "Nature Publishing Group",

number = "10",

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TY - JOUR

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

N1 - Funding Information: This work was supported by grants from Korea Centers for Disease Control and Prevention (4845-301, 4851-302, 4851-307) and an intramural grant from the Korea National Institute of Health (2010-N73002-00), the Republic of Korea. The Shanghai study was supported by grants from National 973 Program (2011CB504001), National Natural Science Foundation of China (30800617), China. BioBank Japan project is supported by the Ministry of Education, Culture, Sports, Science and Technology of Japan.

PY - 2011/10

Y1 - 2011/10

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.

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

Abstract

ASJC Scopus subject areas

UN SDGs

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