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Dive into the research topics where Min Jin Go is active.

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Featured researches published by Min Jin Go.


Nature Genetics | 2009

A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits

Yoon Shin Cho; Min Jin Go; Young-Jin Kim; Jee Yeon Heo; Ji Hee Oh; Hyo Jeong Ban; Dankyu Yoon; Mi Hee Lee; Dong Joon Kim; Miey Park; Seung Hun Cha; Jun Woo Kim; Bok Ghee Han; Haesook Min; Younjhin Ahn; Man Suk Park; Hye Ree Han; Hye Yoon Jang; Eun Young Cho; Jong Eun Lee; Nam H. Cho; Chol Shin; Taesung Park; Ji Wan Park; Jong Keuk Lee; Lon R. Cardon; Geraldine M. Clarke; Mark McCarthy; Jong-Young Lee; Jong Koo Lee

To identify genetic factors influencing quantitative traits of biomedical importance, we conducted a genome-wide association study in 8,842 samples from population-based cohorts recruited in Korea. For height and body mass index, most variants detected overlapped those reported in European samples. For the other traits examined, replication of promising GWAS signals in 7,861 independent Korean samples identified six previously unknown loci. For pulse rate, signals reaching genome-wide significance mapped to chromosomes 1q32 (rs12731740, P = 2.9 × 10−9) and 6q22 (rs12110693, P = 1.6 × 10−9), with the latter ∼400 kb from the coding sequence of GJA1. For systolic blood pressure, the most compelling association involved chromosome 12q21 and variants near the ATP2B1 gene (rs17249754, P = 1.3 × 10−7). For waist-hip ratio, variants on chromosome 12q24 (rs2074356, P = 7.8 × 10−12) showed convincing associations, although no regional transcript has strong biological candidacy. Finally, we identified two loci influencing bone mineral density at multiple sites. On chromosome 7q31, rs7776725 (within the FAM3C gene) was associated with bone density at the radius (P = 1.0 × 10−11), tibia (P = 1.6 × 10−6) and heel (P = 1.9 × 10−10). On chromosome 7p14, rs1721400 (mapping close to SFRP4, a frizzled protein gene) showed consistent associations at the same three sites (P = 2.2 × 10−3, P = 1.4 × 10−7 and P = 6.0 × 10−4, respectively). This large-scale GWA analysis of well-characterized Korean population-based samples highlights previously unknown biological pathways.


Nature Genetics | 2012

Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians.

Yoon Shin Cho; Chien-Hsiun Chen; Cheng Hu; Jirong Long; Rick Twee-Hee Ong; Xueling Sim; Fumihiko Takeuchi; Ying Wu; Min Jin Go; Toshimasa Yamauchi; Yi-Cheng Chang; Soo Heon Kwak; Ronald C.W. Ma; Ken Yamamoto; Linda S. Adair; Tin Aung; Qiuyin Cai; Li Ching Chang; Yuan-Tsong Chen; Yu-Tang Gao; Frank B. Hu; Hyung Lae Kim; Sangsoo Kim; Young-Jin Kim; Jeannette Lee; Nanette R. Lee; Yun Li; Jianjun Liu; Wei Lu; Jiro Nakamura

We conducted a three-stage genetic study to identify susceptibility loci for type 2 diabetes (T2D) in east Asian populations. We followed our stage 1 meta-analysis of eight T2D genome-wide association studies (6,952 cases with T2D and 11,865 controls) with a stage 2 in silico replication analysis (5,843 cases and 4,574 controls) and a stage 3 de novo replication analysis (12,284 cases and 13,172 controls). The combined analysis identified eight new T2D loci reaching genome-wide significance, which mapped in or near GLIS3, PEPD, FITM2-R3HDML-HNF4A, KCNK16, MAEA, GCC1-PAX4, PSMD6 and ZFAND3. GLIS3, which is involved in pancreatic beta cell development and insulin gene expression, is known for its association with fasting glucose levels. The evidence of an association with T2D for PEPD and HNF4A has been shown in previous studies. KCNK16 may regulate glucose-dependent insulin secretion in the pancreas. These findings, derived from an east Asian population, provide new perspectives on the etiology of T2D.


Nature Genetics | 2011

Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in East Asians

Norihiro Kato; Fumihiko Takeuchi; Yasuharu Tabara; Tanika N. Kelly; Min Jin Go; Xueling Sim; Wan Ting Tay; Chien-Hsiun Chen; Yi Zhang; Ken Yamamoto; Tomohiro Katsuya; Mitsuhiro Yokota; Young-Jin Kim; Rick Twee-Hee Ong; Dongfeng Gu; Li Ching Chang; Yoshihiro Kokubo; Wei Huang; Keizo Ohnaka; Yukio Yamori; Eitaro Nakashima; Jong-Young Lee; Mark Seielstad; Masato Isono; James E. Hixson; Yuan-Tsong Chen; Tetsuro Miki; Xueya Zhou; Takao Sugiyama; Jae Pil Jeon

We conducted a meta-analysis of genome-wide association studies of systolic (SBP) and diastolic (DBP) blood pressure in 19,608 subjects of east Asian ancestry from the AGEN-BP consortium followed up with de novo genotyping (n = 10,518) and further replication (n = 20,247) in east Asian samples. We identified genome-wide significant (P < 5 × 10−8) associations with SBP or DBP, which included variants at four new loci (ST7L-CAPZA1, FIGN-GRB14, ENPEP and NPR3) and a newly discovered variant near TBX3. Among the five newly discovered variants, we obtained significant replication in the independent samples for all of these loci except NPR3. We also confirmed seven loci previously identified in populations of European descent. Moreover, at 12q24.13 near ALDH2, we observed strong association signals (P = 7.9 × 10−31 and P = 1.3 × 10−35 for SBP and DBP, respectively) with ethnic specificity. These findings provide new insights into blood pressure regulation and potential targets for intervention.


Nature Genetics | 2012

Meta-analysis identifies common variants associated with body mass index in east Asians.

Wanqing Wen; Yoon Shin Cho; Wei Zheng; Rajkumar Dorajoo; Norihiro Kato; Lu Qi; Chien-Hsiun Chen; Ryan J. Delahanty; Yukinori Okada; Yasuharu Tabara; Dongfeng Gu; Dingliang Zhu; Christopher A. Haiman; Zengnan Mo; Yu-Tang Gao; Seang-Mei Saw; Min Jin Go; Fumihiko Takeuchi; Li-Ching Chang; Yoshihiro Kokubo; Jun Liang; Mei Hao; Loic Le Marchand; Yi Zhang; Yanling Hu; Tien Yin Wong; Jirong Long; Bok-Ghee Han; Michiaki Kubo; Ken Yamamoto

Multiple genetic loci associated with obesity or body mass index (BMI) have been identified through genome-wide association studies conducted predominantly in populations of European ancestry. We performed a meta-analysis of associations between BMI and approximately 2.4 million SNPs in 27,715 east Asians, which was followed by in silico and de novo replication studies in 37,691 and 17,642 additional east Asians, respectively. We identified ten BMI-associated loci at genome-wide significance (P < 5.0 × 10−8), including seven previously identified loci (FTO, SEC16B, MC4R, GIPR-QPCTL, ADCY3-DNAJC27, BDNF and MAP2K5) and three novel loci in or near the CDKAL1, PCSK1 and GP2 genes. Three additional loci nearly reached the genome-wide significance threshold, including two previously identified loci in the GNPDA2 and TFAP2B genes and a newly identified signal near PAX6, all of which were associated with BMI with P < 5.0 × 10−7. Findings from this study may shed light on new pathways involved in obesity and demonstrate the value of conducting genetic studies in non-European populations.


Nature Genetics | 2012

Common variants at CDKAL1 and KLF9 are associated with body mass index in east Asian populations

Yukinori Okada; Michiaki Kubo; Hiroko Ohmiya; Atsushi Takahashi; Natsuhiko Kumasaka; Naoya Hosono; Shiro Maeda; Wanqing Wen; Rajkumar Dorajoo; Min Jin Go; Wei Zheng; Norihiro Kato; Jer-Yuarn Wu; Qi Lu; Tatsuhiko Tsunoda; Kazuhiko Yamamoto; Yusuke Nakamura; Naoyuki Kamatani; Toshihiro Tanaka

Obesity is a disorder with a complex genetic etiology, and its epidemic is a worldwide problem. Although multiple genetic loci associated with body mass index, the most common measure of obesity, have been identified in European populations, few studies have focused on Asian populations. Here we report a genome-wide association study and replication studies with 62,245 east Asian subjects, which identified two new body mass index–associated loci in the CDKAL1 locus at 6p22 (rs2206734, P = 1.4 × 10−11) and the KLF9 locus at 9q21 (rs11142387, P = 1.3 × 10−9), as well as several previously reported loci (the SEC16B, BDNF, FTO, MC4R and GIPR loci, P < 5.0 × 10−8). We subsequently performed gene-gene interaction analyses and identified an interaction (P = 2.0 × 10−8) between a SNP in the KLF9 locus (rs11142387) and one in the MSTN (also known as GDF8) locus at 2q32 (rs13034723). These findings should provide useful insights into the etiology of obesity.


Nature Genetics | 2011

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

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.


PLOS Genetics | 2010

Identification of New Genetic Risk Variants for Type 2 Diabetes

Xiao-Ou Shu; Jirong Long; Qiuyin Cai; Lu Qi; Yong-Bing Xiang; Yoon Shin Cho; E. Shyong Tai; Xiangyang Li; Xu Lin; Wong-Ho Chow; Min Jin Go; Mark Seielstad; Wei Bao; Huaixing Li; Marilyn C. Cornelis; Kai-Bei Yu; Wanqing Wen; Jiajun Shi; Bok-Ghee Han; Xueling Sim; Liegang Liu; Qibin Qi; Hyung-Lae Kim; Daniel P.K. Ng; Jong-Young Lee; Young-Jin Kim; Chun-Chun Li; Yu-Tang Gao; Wei-Wei Zheng; Frank B. Hu

Although more than 20 genetic susceptibility loci have been reported for type 2 diabetes (T2D), most reported variants have small to moderate effects and account for only a small proportion of the heritability of T2D, suggesting that the majority of inter-person genetic variation in this disease remains to be determined. We conducted a multistage, genome-wide association study (GWAS) within the Asian Consortium of Diabetes to search for T2D susceptibility markers. From 590,887 SNPs genotyped in 1,019 T2D cases and 1,710 controls selected from Chinese women in Shanghai, we selected the top 2,100 SNPs that were not in linkage disequilibrium (r2<0.2) with known T2D loci for in silico replication in three T2D GWAS conducted among European Americans, Koreans, and Singapore Chinese. The 5 most promising SNPs were genotyped in an independent set of 1,645 cases and 1,649 controls from Shanghai, and 4 of them were further genotyped in 1,487 cases and 3,316 controls from 2 additional Chinese studies. Consistent associations across all studies were found for rs1359790 (13q31.1), rs10906115 (10p13), and rs1436955 (15q22.2) with P-values (per allele OR, 95%CI) of 6.49×10−9 (1.15, 1.10–1.20), 1.45×10−8 (1.13, 1.08–1.18), and 7.14×10−7 (1.13, 1.08–1.19), respectively, in combined analyses of 9,794 cases and 14,615 controls. Our study provides strong evidence for a novel T2D susceptibility locus at 13q31.1 and the presence of new independent risk variants near regions (10p13 and 15q22.2) reported by previous GWAS.


Nature Genetics | 2012

Meta-analysis identifies multiple loci associated with kidney function-related traits in east Asian populations

Yukinori Okada; Xueling Sim; Min Jin Go; Jer-Yuarn Wu; Dongfeng Gu; Fumihiko Takeuchi; Atsushi Takahashi; Shiro Maeda; Tatsuhiko Tsunoda; Peng Chen; Su-Chi Lim; Tien Yin Wong; Jianjun Liu; Terri L. Young; Tin Aung; Mark Seielstad; Yik-Ying Teo; Young-Jin Kim; Jong-Young Lee; Bok-Ghee Han; Daehee Kang; Chien-Hsiun Chen; Fuu Jen Tsai; Li-Ching Chang; S-J Cathy Fann; Hao Mei; Dabeeru C. Rao; James E. Hixson; Shufeng Chen; Tomohiro Katsuya

Chronic kidney disease (CKD), impairment of kidney function, is a serious public health problem, and the assessment of genetic factors influencing kidney function has substantial clinical relevance. Here, we report a meta-analysis of genome-wide association studies for kidney function–related traits, including 71,149 east Asian individuals from 18 studies in 11 population-, hospital- or family-based cohorts, conducted as part of the Asian Genetic Epidemiology Network (AGEN). Our meta-analysis identified 17 loci newly associated with kidney function–related traits, including the concentrations of blood urea nitrogen, uric acid and serum creatinine and estimated glomerular filtration rate based on serum creatinine levels (eGFRcrea) (P < 5.0 × 10−8). We further examined these loci with in silico replication in individuals of European ancestry from the KidneyGen, CKDGen and GUGC consortia, including a combined total of ∼110,347 individuals. We identify pleiotropic associations among these loci with kidney function–related traits and risk of CKD. These findings provide new insights into the genetics of kidney function.


Diabetes | 2012

A Genome-Wide Association Study of Gestational Diabetes Mellitus in Korean Women

Soo Heon Kwak; Sung Hoon Kim; Young Min Cho; Min Jin Go; Yoon Shin Cho; Sung Hee Choi; Min Kyong Moon; Hye Seung Jung; Hyoung Doo Shin; Hyun Min Kang; Nam H. Cho; In-Kyu Lee; Seong Yeon Kim; Bok Ghee Han; Hak Chul Jang; Kyong Soo Park

Knowledge regarding the genetic risk loci for gestational diabetes mellitus (GDM) is still limited. In this study, we performed a two-stage genome-wide association analysis in Korean women. In the stage 1 genome scan, 468 women with GDM and 1,242 nondiabetic control women were compared using 2.19 million genotyped or imputed markers. We selected 11 loci for further genotyping in stage 2 samples of 931 case and 783 control subjects. The joint effect of stage 1 plus stage 2 studies was analyzed by meta-analysis. We also investigated the effect of known type 2 diabetes variants in GDM. Two loci known to be associated with type 2 diabetes had a genome-wide significant association with GDM in the joint analysis. rs7754840, a variant in CDKAL1, had the strongest association with GDM (odds ratio 1.518; P = 6.65 × 10−16). A variant near MTNR1B, rs10830962, was also significantly associated with the risk of GDM (1.454; P = 2.49 × 10−13). We found that there is an excess of association between known type 2 diabetes variants and GDM above what is expected under the null hypothesis. In conclusion, we have confirmed that genetic variants in CDKAL1 and near MTNR1B are strongly associated with GDM in Korean women. There seems to be a shared genetic basis between GDM and type 2 diabetes.


Journal of Human Genetics | 2010

Recapitulation of two genomewide association studies on blood pressure and essential hypertension in the Korean population.

Kyung-Won Hong; Hyun-Seok Jin; Ji-Eun Lim; Sangsoo Kim; Min Jin Go; Bermseok Oh

Essential hypertension causes high rates of morbidity and mortality, primarily due to its complications, and its development is regulated by genetic risk and environmental factors. However, until recent genomewide association studies (GWASs) were reported, the genetic factors were unknown. Two GWASs on systolic blood pressure (SBP), diastolic blood pressure (DBP) and hypertension in Caucasians—Global Blood Pressure Genetics (Global BPgen) and Cohorts for Heart and Aging Research in Genome Epidemiology (CHARGE)—reported 51 single-nucleotide polymorphisms (SNPs) in 12 loci at P<4 × 10−7. Because the prevalence, age of onset and severity of complications of hypertension vary between ethnic groups, we wanted to investigate these results in other ethnic groups. We examined the association of 27 of the 51 SNPs in 8512 unrelated individuals from Korean Association REsource (KARE), a GWAS that was based on epidemiological cohorts in Korea. Four loci—ATP2B1 (ATPase, Ca++ transporting, plasma membrane 1), CSK (c-src tyrosine kinase), CYP17A1 (cytochrome P450 17A1) and PLEKHA7 (pleckstrin homology domain-containing family A member 7)—were associated with blood pressure and hypertension in the Korean population.

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Jong-Young Lee

National Institutes of Health

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Joo-Yeon Hwang

National Institutes of Health

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Young-Jin Kim

Seoul National University

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Yoon Shin Cho

UPRRP College of Natural Sciences

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Bok-Ghee Han

Centers for Disease Control and Prevention

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Bong-Jo Kim

Gyeongsang National University

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Hye-Ja Lee

Seoul National University Hospital

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Soo Heon Kwak

Seoul National University

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Fumihiko Takeuchi

National Institutes of Health

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