Xueling Sim
National University of Singapore
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Publication
Featured researches published by Xueling Sim.
PLOS ONE | 2013
Xueling Sim; Richard Jensen; M. Kamran Ikram; Mary Frances Cotch; Xiaohui Li; Stuart MacGregor; Jing Xie; Albert V. Smith; Eric Boerwinkle; Paul Mitchell; Ronald Klein; Barbara Ek Klein; Nicole L. Glazer; Thomas Lumley; Barbara McKnight; Bruce M. Psaty; Paulus T. V. M. de Jong; Albert Hofman; Fernando Rivadeneira; André G. Uitterlinden; Cornelia M. van Duijn; Thor Aspelund; Gudny Eiriksdottir; Tamara B. Harris; Fridbert Jonasson; Lenore J. Launer; John Attia; Paul N. Baird; Stephen B. Harrap; Elizabeth G. Holliday
Narrow arterioles in the retina have been shown to predict hypertension as well as other vascular diseases, likely through an increase in the peripheral resistance of the microcirculatory flow. In this study, we performed a genome-wide association study in 18,722 unrelated individuals of European ancestry from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium and the Blue Mountain Eye Study, to identify genetic determinants associated with variations in retinal arteriolar caliber. Retinal vascular calibers were measured on digitized retinal photographs using a standardized protocol. One variant (rs2194025 on chromosome 5q14 near the myocyte enhancer factor 2C MEF2C gene) was associated with retinal arteriolar caliber in the meta-analysis of the discovery cohorts at genome-wide significance of P-value <5×10−8. This variant was replicated in an additional 3,939 individuals of European ancestry from the Australian Twins Study and Multi-Ethnic Study of Atherosclerosis (rs2194025, P-value = 2.11×10−12 in combined meta-analysis of discovery and replication cohorts). In independent studies of modest sample sizes, no significant association was found between this variant and clinical outcomes including coronary artery disease, stroke, myocardial infarction or hypertension. In conclusion, we found one novel loci which underlie genetic variation in microvasculature which may be relevant to vascular disease. The relevance of these findings to clinical outcomes remains to be determined.
Nature Genetics | 2012
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
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 | 2011
Jaspal S. Kooner; Danish Saleheen; Xueling Sim; Joban Sehmi; Weihua Zhang; Philippe Frossard; Latonya F. Been; Kee Seng Chia; Antigone S. Dimas; Neelam Hassanali; Tazeen H. Jafar; Jeremy B. M. Jowett; Xinzhong Li; Venkatesan Radha; Simon D. Rees; Fumihiko Takeuchi; Robin Young; Tin Aung; Abdul Basit; Manickam Chidambaram; Debashish Das; Elin Grundberg; Åsa K. Hedman; Zafar I. Hydrie; Muhammed Islam; Chiea Chuen Khor; Sudhir Kowlessur; Malene M. Kristensen; Samuel Liju; Wei-Yen Lim
We carried out a genome-wide association study of type-2 diabetes (T2D) in individuals of South Asian ancestry. Our discovery set included 5,561 individuals with T2D (cases) and 14,458 controls drawn from studies in London, Pakistan and Singapore. We identified 20 independent SNPs associated with T2D at P < 10−4 for testing in a replication sample of 13,170 cases and 25,398 controls, also all of South Asian ancestry. In the combined analysis, we identified common genetic variants at six loci (GRB14, ST6GAL1, VPS26A, HMG20A, AP3S2 and HNF4A) newly associated with T2D (P = 4.1 × 10−8 to P = 1.9 × 10−11). SNPs at GRB14 were also associated with insulin sensitivity (P = 5.0 × 10−4), and SNPs at ST6GAL1 and HNF4A were also associated with pancreatic beta-cell function (P = 0.02 and P = 0.001, respectively). Our findings provide additional insight into mechanisms underlying T2D and show the potential for new discovery from genetic association studies in South Asians, a population with increased susceptibility to T2D.
Nature Genetics | 2012
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 | 2013
Jeroen R. Huyghe; Anne U. Jackson; Marie P. Fogarty; Martin L. Buchkovich; Alena Stančáková; Heather M. Stringham; Xueling Sim; Lingyao Yang; Christian Fuchsberger; Henna Cederberg; Peter S. Chines; Tanya M. Teslovich; Jane Romm; Hua Ling; Ivy McMullen; Roxann G. Ingersoll; Elizabeth W. Pugh; Kimberly F. Doheny; Benjamin M. Neale; Mark J. Daly; Johanna Kuusisto; Laura J. Scott; Hyun Min Kang; Francis S. Collins; Gonçalo R. Abecasis; Richard M. Watanabe; Michael Boehnke; Markku Laakso; Karen L. Mohlke
Insulin secretion has a crucial role in glucose homeostasis, and failure to secrete sufficient insulin is a hallmark of type 2 diabetes. Genome-wide association studies (GWAS) have identified loci contributing to insulin processing and secretion; however, a substantial fraction of the genetic contribution remains undefined. To examine low-frequency (minor allele frequency (MAF) 0.5–5%) and rare (MAF < 0.5%) nonsynonymous variants, we analyzed exome array data in 8,229 nondiabetic Finnish males using the Illumina HumanExome Beadchip. We identified low-frequency coding variants associated with fasting proinsulin concentrations at the SGSM2 and MADD GWAS loci and three new genes with low-frequency variants associated with fasting proinsulin or insulinogenic index: TBC1D30, KANK1 and PAM. We also show that the interpretation of single-variant and gene-based tests needs to consider the effects of noncoding SNPs both nearby and megabases away. This study demonstrates that exome array genotyping is a valuable approach to identify low-frequency variants that contribute to complex traits.
PLOS Genetics | 2014
Elaine T. Lim; Peter Würtz; Aki S. Havulinna; Priit Palta; Taru Tukiainen; Karola Rehnström; Tonu Esko; Reedik Mägi; Michael Inouye; Tuuli Lappalainen; Yingleong Chan; Rany M. Salem; Monkol Lek; Jason Flannick; Xueling Sim; Alisa K. Manning; Claes Ladenvall; Suzannah Bumpstead; Eija Hämäläinen; Kristiina Aalto; Mikael Maksimow; Marko Salmi; Stefan Blankenberg; Diego Ardissino; Svati H. Shah; Benjamin D. Horne; Ruth McPherson; Gerald K. Hovingh; Muredach P. Reilly; Hugh Watkins
Exome sequencing studies in complex diseases are challenged by the allelic heterogeneity, large number and modest effect sizes of associated variants on disease risk and the presence of large numbers of neutral variants, even in phenotypically relevant genes. Isolated populations with recent bottlenecks offer advantages for studying rare variants in complex diseases as they have deleterious variants that are present at higher frequencies as well as a substantial reduction in rare neutral variation. To explore the potential of the Finnish founder population for studying low-frequency (0.5–5%) variants in complex diseases, we compared exome sequence data on 3,000 Finns to the same number of non-Finnish Europeans and discovered that, despite having fewer variable sites overall, the average Finn has more low-frequency loss-of-function variants and complete gene knockouts. We then used several well-characterized Finnish population cohorts to study the phenotypic effects of 83 enriched loss-of-function variants across 60 phenotypes in 36,262 Finns. Using a deep set of quantitative traits collected on these cohorts, we show 5 associations (p<5×10−8) including splice variants in LPA that lowered plasma lipoprotein(a) levels (P = 1.5×10−117). Through accessing the national medical records of these participants, we evaluate the LPA finding via Mendelian randomization and confirm that these splice variants confer protection from cardiovascular disease (OR = 0.84, P = 3×10−4), demonstrating for the first time the correlation between very low levels of LPA in humans with potential therapeutic implications for cardiovascular diseases. More generally, this study articulates substantial advantages for studying the role of rare variation in complex phenotypes in founder populations like the Finns and by combining a unique population genetic history with data from large population cohorts and centralized research access to National Health Registers.
PLOS Genetics | 2010
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
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 | 2008
Jonathan T. Tan; Rajkumar Dorajoo; Mark Seielstad; Xueling Sim; Rick Twee-Hee Ong; Kee Seng Chia; Tien Yin Wong; Seang-Mei Saw; Suok Kai Chew; Tin Aung; E-Shyong Tai
OBJECTIVE— Association between genetic variants at the FTO locus and obesity has been consistently observed in populations of European ancestry and inconsistently in non-Europeans. The aim of this study was to examine the effects of FTO variants on obesity and type 2 diabetes in Southeast Asian populations. RESEARCH DESIGN AND METHODS— We examined associations between nine previously reported FTO single nucleotide polymorphisms (SNPs) with obesity, type 2 diabetes, and related traits in 4,298 participants (2,919 Chinese, 785 Malays, and 594 Asian Indians) from the 1998 Singapore National Health Survey (NHS98) and 2,996 Malays from the Singapore Malay Eye Study (SiMES). RESULTS— All nine SNPs exhibited strong linkage disequilibrium (r2 = 0.6–0.99), and minor alleles were associated with obesity in the same direction as previous studies with effect sizes ranging from 0.42 to 0.68 kg/m2 (P < 0.0001) in NHS98 Chinese, 0.65 to 0.91 kg/m2 (P < 0.02) in NHS98 Malays, and 0.52 to 0.64 kg/m2 (P < 0.0001) in SiMES Malays after adjustment for age, sex, smoking, alcohol consumption, and exercise. The variants were also associated with type 2 diabetes, though not after adjustment for BMI (with the exception of the SiMES Malays: odds ratio 1.17–1.22; P ≤ 0.026). CONCLUSIONS— FTO variants common among European populations are associated with obesity in ethnic Chinese and Malays in Singapore. Our data do not support the hypothesis that differences in allele frequency or genetic architecture underlie the lack of association observed in some populations of Asian ancestry. Examination of gene-environment interactions involving variants at this locus may provide further insights into the role of FTO in the pathogenesis of human obesity and diabetes.