Cohort Profile: Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study

Soh, Shu‐E; Tint, Mya Thway; Gluckman, Peter D.; Godfrey, Keith M.; Rifkin‐Graboi, Anne; Chan, Yiong Huak; Stünkel, Walter; Holbrook, Joanna D.; Kwek, Kenneth; Chong, Yap‐Seng; Saw, Seang Mei

doi:10.1093/ije/dyt125

Cited by 410 publications

(355 citation statements)

References 23 publications

Supporting

Mentioning

343

Contrasting

Order By: Relevance

“…Ethnicity associates with the first components of genotype but not DNA methylation Umbilical cord tissue DNA from 237 individuals (131 Chinese, 72 Malay, 34 Indian) in the GUSTO birth cohort (Soh et al 2013) were interrogated on both Illumina OmniExpress + Exome genotyping arrays and InfiniumHumanMethylation450 BeadChip; 708,365 SNPs (from the 958,178 assayed) varied in genotype and 301,468 CpGs (from the 411,107 assayed) varied in methylation levels by >5% across the 237 individuals under study (for study subject characteristics, see Table 1). When the genotype data were subjected to principal component analysis, the samples were cleanly separated by ethnicity.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

The effect of genotype and in utero environment on interindividual variation in neonate DNA methylomes

et al. 2014

View full text Add to dashboard Cite

Integrating the genotype with epigenetic marks holds the promise of better understanding the biology that underlies the complex interactions of inherited and environmental components that define the developmental origins of a range of disorders. The quality of the in utero environment significantly influences health over the lifecourse. Epigenetics, and in particular DNA methylation marks, have been postulated as a mechanism for the enduring effects of the prenatal environment. Accordingly, neonate methylomes contain molecular memory of the individual in utero experience. However, interindividual variation in methylation can also be a consequence of DNA sequence polymorphisms that result in methylation quantitative trait loci (methQTLs) and, potentially, the interaction between fixed genetic variation and environmental influences. We surveyed the genotypes and DNA methylomes of 237 neonates and found 1423 punctuate regions of the methylome that were highly variable across individuals, termed variably methylated regions (VMRs), against a backdrop of homogeneity. MethQTLs were readily detected in neonatal methylomes, and genotype alone best explained~25% of the VMRs. We found that the best explanation for 75% of VMRs was the interaction of genotype with different in utero environments, including maternal smoking, maternal depression, maternal BMI, infant birth weight, gestational age, and birth order. Our study sheds new light on the complex relationship between biological inheritance as represented by genotype and individual prenatal experience and suggests the importance of considering both fixed genetic variation and environmental factors in interpreting epigenetic variation.

show abstract

Section: Resultsmentioning

confidence: 99%

“…Briefly, 244 umbilical cord samples from healthy babies who were part of the GUSTO birth cohort study (Soh et al 2013) were selected. Subject characteristics can be found in Table 1.…”

Section: Methodsmentioning

confidence: 99%

The effect of genotype and in utero environment on interindividual variation in neonate DNA methylomes

et al. 2014

View full text Add to dashboard Cite

show abstract

“…Growing Up in Singapore Towards healthy Outcomes is a motheroffspring cohort study that has been described in detail elsewhere (13). Briefly, from June 2009 to September 2010, pregnant women who were attending their antenatal care visits (,14 wk of gestation) were recruited from the KK Women's and Children's Hospital (KKH) 17 or the National University Hospital (NUH), which are the major public maternity units in Singapore.…”

Section: Methodsmentioning

confidence: 99%

Associations of maternal macronutrient intake during pregnancy with infant BMI peak characteristics and childhood BMI1–3

Chen¹,

Aris²,

Bernard³

et al. 2017

The American Journal of Clinical Nutrition

View full text Add to dashboard Cite

Background: Infant body mass index (BMI) peak characteristics and early childhood BMI are emerging markers of future obesity and cardiometabolic disease risk, but little is known about their maternal nutritional determinants. Objective: We investigated the associations of maternal macronutrient intake with infant BMI peak characteristics and childhood BMI in the Growing Up in Singapore Towards healthy Outcomes study. Design: With the use of infant BMI data from birth to age 18 mo, infant BMI peak characteristics [age (in months) and magnitude (BMI peak ; in kg/m 2 ) at peak and prepeak velocities] were derived from subjectspecific BMI curves that were fitted with the use of mixed-effects model with a natural cubic spline function. Associations of maternal macronutrient intake (assessed by using a 24-h recall during late gestation) with infant BMI peak characteristics (n = 910) and BMI z scores at ages 2, 3, and 4 y were examined with the use of multivariable linear regression. Results: Mean absolute maternal macronutrient intakes (percentages of energy) were 72 g protein (15.6%), 69 g fat (32.6%), and 238 g carbohydrate (51.8%). A 25-g (w100-kcal) increase in maternal carbohydrate intake was associated with a 0.01/mo (95% CI: 0.0003, 0.01/mo) higher prepeak velocity and a 0.04 (95% CI: 0.01, 0.08) higher BMI peak . These associations were mainly driven by sugar intake, whereby a 25-g increment of maternal sugar intake was associated with a 0.02/mo (95% CI: 0.01, 0.03/mo) higher infant prepeak velocity and a 0.07 (95% CI: 0.01, 0.13) higher BMI peak . Higher maternal carbohydrate and sugar intakes were associated with a higher offspring BMI z score at ages 2-4 y. Maternal protein and fat intakes were not consistently associated with the studied outcomes. Conclusion: Higher maternal carbohydrate and sugar intakes are associated with unfavorable infancy BMI peak characteristics and higher early childhood BMI. This trial was registered at clinicaltrials.gov as NCT01174875.Am J Clin Nutr 2017;105:705-13.

show abstract

“…Participants in this study were a subset of 484 parent-child dyads from the Growing Up In Singapore Towards Healthy Outcomes cohort (GUSTO; N=1,247), who took part in the a video recorded ad libitum buffet lunch at 4.5 years of age (54± 2 months; for a full description of the GUSTO cohort see [37]). Some videos were removed (n=97) for quality Children in the sample represented the three dominant ethnic groups in Singapore, namely Chinese (n= 210), Indian (n= 68) and Malay (n= 108), and a comparable number from both sexes (n=202 boys and n=184 girls).…”

Section: Participantsmentioning

confidence: 99%

Section: Participantsmentioning

confidence: 99%

A description of an ‘obesogenic’ eating style that promotes higher energy intake and is associated with greater adiposity in 4.5 year-old children: Results from the GUSTO cohort

Fogel

Goh

Fries

et al. 2017

Physiology & Behavior

View full text Add to dashboard Cite

Recent findings confirm that faster eating rates support higher energy intakes within a meal and are associated with increased body weight and adiposity in children. The current study sought to * Author to whom correspondence should be addressed: Ciaran Gerard Forde; Centre for Translational Medicine, 14 Medical Drive #07-02, MD 6 Building, Yong Loo Lin School of Medicine, Singapore 117599; Tel: +65 64070104; ciaran_forde@sics.astar.edu.sg. Clinical Trial Registry Number: NCT01174875; https://clinicaltrials.gov/ Authors' Contributions: This study was conceived and designed by CGF, AF, MFFC and LRF. Clinical analyses were performed by SS, SV, AF, ATG, and CGF and data analysis and interpretation were carried out by AF and CGF. AF and CGF prepared the draft manuscript and all authors reviewed and approved the final draft. This study was given ethical approval by ethical review boards of the KK Women's and Children's Hospital and National University Hospital in Singapore.Author disclosures: Keith Godfrey, Lee Yung-Seng and Yap Seng Chong have received reimbursement for speaking at conferences sponsored by companies selling nutritional products. They are part of an academic consortium that has received research funding from Abbott Nutrition, Nestec and Danone. Lisa Fries is an employee of Nestec SA, working at the Nestlé Research Center. The other authors have no financial or personal conflict of interests. Europe PMC Funders GroupAuthor Manuscript Physiol Behav. Author manuscript; available in PMC 2018 January 01. Europe PMC Funders Author ManuscriptsEurope PMC Funders Author Manuscripts identify the eating behaviours that underpin faster eating rates and energy intake in children, and to investigate their variations by weight status and other individual differences. Children (N=386) from the Growing Up in Singapore towards Healthy Outcomes (GUSTO) cohort took part in a video-recorded ad libitum lunch at 4.5 years of age to measure acute energy intake. Videos were coded for three eating behaviours (bites, chews and swallows) to derive a measure of eating rate (g/min) and measures of eating microstructure: eating rate (g/min), total oral exposure (minutes), average bite size (g/bite), chews per gram, oral exposure per bite (seconds), total bites and proportion of active to total mealtime. Children's BMIs were calculated and a subset of children underwent MRI scanning to establish abdominal adiposity. Children were grouped into faster and slower eaters, and into healthy and overweight groups to compare their eating behaviours. Results demonstrate that faster eating rates were correlated with larger average bite size (r=0.55, p<0.001), fewer chews per gram (r=-0.71, p<0.001) and shorter oral exposure time per bite (r=-0.25, p<0.001), and with higher energy intakes (r=0.61, p<0.001). Children with overweight and higher adiposity had faster eating rates (p<0.01) and higher energy intakes (p<0.01), driven by larger bite sizes (p<0.05). Eating behaviours varied by sex, ethnicity and early feeding regimes, partial...

show abstract

Cohort Profile: Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study

Cited by 410 publications

References 23 publications

The effect of genotype and in utero environment on interindividual variation in neonate DNA methylomes

The effect of genotype and in utero environment on interindividual variation in neonate DNA methylomes

Associations of maternal macronutrient intake during pregnancy with infant BMI peak characteristics and childhood BMI1–3

A description of an ‘obesogenic’ eating style that promotes higher energy intake and is associated with greater adiposity in 4.5 year-old children: Results from the GUSTO cohort

Contact Info

Product

Resources

About