Replication of 13 obesity loci among Singaporean Chinese, Malay and Asian-Indian populations

Dorajoo, Rajkumar; Blakemore, Alexandra I. F.; Sim, Xueling; Ong, Rick Th; Ng, Daniel P.K.; Seielstad, Mark; Ty, Wong; Sm, Saw; Froguel, Philippe; Liu, J; Tai, E. Shyong

doi:10.1038/ijo.2011.86

Cited by 83 publications

(61 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CNV loci overlapping LPA and JAK2 were observed with nonsignificant p-values. In the association stage, other well-established risk loci such as ATP2B1, FTO, MC4R, PPYR1, ST7L-CAPZA1, FIGN-GRB14, EN-PEP, NPR3, and TBX3 that were observed in previous GWAS or CNV studies (Sha et al, 2009;Levy et al, 2009;Newton-Cheh et al, 2009;Kato et al, 2011;Frayling et al, 2007;Loos et al, 2008;Glessner et al, 2010;Dorajoo et al, 2011) were not observed in our current study. There are some potential reasons for why these loci were not significantly observed in our study.…”

Section: Discussioncontrasting

confidence: 44%

Genome-wide Survey of Copy Number Variants Associated with Blood Pressure and Body Mass Index in a Korean Population

Moon¹,

Kim²,

Kim³

et al. 2011

Genomics & Informatics

View full text Add to dashboard Cite

Hypertension is the major factor of most death and high blood pressure (BP) can lead to stroke, myocardial infarction and cardiac failure. Moreover, hypertension is strongly correlated with body mass index (BMI). Although the exact causes of hypertension are still unclear, some of genetic loci were discovered from genome-wide association study (GWAS). Therefore, it is essential to study genetic variation for finding more genetic factor affecting hypertension. The purpose of our study is to conduct a CNV association study for hypertension-related traits, BP and BMI, in Korean individuals. We identified 2,206 CNV regions from 3,274 community-based Korean participants using the Affymetrix Genome-Wide Human SNP Array 6.0 platform and performed a logistic regression analysis of CNVs with two hypertension-related traits, BP and BMI. Moreover, the 4,692 participants in an independent cohort were selected for respective replication analyses. GWAS of CNV identified two loci encompassing previously known hypertension-related genes: LPA (lipoprotein) on 6q26, and JAK2 (Janus kinase 2) on 9p24, with suggestive p-values (0.0334 for LPA and 0.0305 for JAK2 ). These two positive findings, however, were not evaluated in the replication stage. Our result confirmed the conclusion of CNV study from the WTCCC suggesting weak association with common diseases. This is the first study of CNV association study with BP and BMI in Korean population and it provides a state of CNV association study with common human diseases using SNP array.

show abstract

Section: Discussioncontrasting

confidence: 44%

Genome-wide Survey of Copy Number Variants Associated with Blood Pressure and Body Mass Index in a Korean Population

Moon¹,

Kim²,

Kim³

et al. 2011

Genomics & Informatics

View full text Add to dashboard Cite

show abstract

“…11,39 The TMEM18 and GNPDA2 associations have also been validated in East Asian studies. 40,41 Figure 1. Effects of rs9939609 and rs6548238 on obesity-related indices for overall sample, boys and girls.…”

Section: Discussionmentioning

confidence: 99%

Study of eight GWAS-identified common variants for association with obesity-related indices in Chinese children at puberty

et al. 2011

View full text Add to dashboard Cite

OBJECTIVE: Genome-wide association studies (GWAS) have identified some common variants associated with obesity risk in European descents. However, their influences on obesity-related indices for the Chinese children at puberty are not widely clear yet. To address this question, we conducted a study that aims to examine effects of eight previously reported GWAS singlenucleotide polymorphisms (SNPs) on four obesity-related indices in a sample of Chinese children aged 10 --12 years. METHODS: Anthropometric indices were measured in 1688 children (10.8 ± 0.4 years, boys ¼ 877, girls ¼ 811) from Shanghai Children's Sleep Project. Eight SNPs within the NEGR1, TMEM18, GNPDA2, MTCH2, SH2B1, FTO, MC4R and KCTD15 genes were genotyped using matrix-assisted laser desorption/ionization --time of flight mass spectrometry. Linear regression and genetic additive model were used to test for the association betweens SNPs and obesity-related indices (weight, body mass index (BMI), waist-to-height ratio and body fat). RESULTS: Only two SNPs, rs6548238 (TMEM18) and rs9939609 (FTO), were associated with all obesity-related indices with Po0.05. After adjusting for multiple tests, rs9939609 is the only one significantly associated with the indices. SNPs, rs6548238 and rs9939609 explained 0.28% (P ¼ 0.03) and 0.54% (P ¼ 0.002) variance of BMI, respectively, that are almost two-fold of the previously GWAS-reported effects. In addition, rs6548238 was associated with four indices in boys, but not in girls. In contrast, rs9939609 showed a strong association only in girls. Six other SNPs, rs2815752 (NEGR1), rs10938397 (GNPDA2), rs10838738 (MTCH2), rs7498665 (SH2B1), rs17782313 (MC4R) and rs11084753 (KCTD15), were not associated with obesity (P40.05). CONCLUSIONS: Variants of TMEM18 and FTO are associated with obesity indices during puberty in Chinese children, but candidate SNPs of NEGR1, GNPDA2, MTCH2, SH2B1, MC4R and KCTD15 have no significant effects on obesity indices. The findings also suggest that obesity susceptibility genes may exert more obvious effects during children's puberty. In addition, gender differences may exist in various obesity-related genes.

show abstract

“…GWAS identified obesity-associated genes such as FTO, MC4R, GNPDA2, TMEM18, QPCTL/GIPR, BDNF, ETV5, MAP2K5/ SKOR1, SEC16B and TNKS/MSRA have been shown to be associated with obesity risk in Singaporean Asian-Indian populations [88]. In addition, GWAS in Asian Indians have reported strong associations of variants near MC4R genes with insulin resistance and several obesity-related quantitative traits [89].…”

Section: Indian Perspective Of Obesity Geneticsmentioning

confidence: 99%

Genetics of Obesity

Srivastava

Mittal

2015

Ind J Clin Biochem

View full text Add to dashboard Cite

Numerous classical genetic studies have proved that genes are contributory factors for obesity. Genes are directly responsible for obesity associated disorders such as Bardet-Biedl and Prader-Willi syndromes. However, both genes as well as environment are associated with obesity in the general population. Genetic epidemiological approaches, particularly genome-wide association studies, have unraveled many genes which play important roles in human obesity. Elucidation of their biological functions can be very useful for understanding pathobiology of obesity. In the near future, further exploration of obesity genetics may help to develop useful diagnostic and predictive tests for obesity treatment.

show abstract

Replication of 13 obesity loci among Singaporean Chinese, Malay and Asian-Indian populations

Cited by 83 publications

References 20 publications

Genome-wide Survey of Copy Number Variants Associated with Blood Pressure and Body Mass Index in a Korean Population

Genome-wide Survey of Copy Number Variants Associated with Blood Pressure and Body Mass Index in a Korean Population

Study of eight GWAS-identified common variants for association with obesity-related indices in Chinese children at puberty

Genetics of Obesity

Contact Info

Product

Resources

About