Andrew Wong |
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Medical Research Council (UK)
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MRC Unit for Lifelong Health and Ageing
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Publications (23) View all
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Article: Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.
Sonja I Berndt, Stefan Gustafsson, Reedik Mägi, Andrea Ganna, Eleanor Wheeler, Mary F Feitosa, Anne E Justice, Keri L Monda, Damien C Croteau-Chonka, Felix R Day, [......], Joel N Hirschhorn, Cecilia M Lindgren, Andrew P Morris, David Meyre, André Scherag, Mark I McCarthy, Elizabeth K Speliotes, Kari E North, Ruth J F Loos, Erik Ingelsson[show abstract] [hide abstract]
ABSTRACT: Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.Nature Genetics 04/2013; · 35.53 Impact Factor -
Article: Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
Sonja I Berndt, Stefan Gustafsson, Reedik Magi, Andrea Ganna, Eleanor Wheeler, Mary F Feitosa, Anne E Justice, Keri L Monda, Damien C Croteau-Chonka, Felix R Day, [......], Joel N Hirschhorn, Cecilia M Lindgren, Andrew P Morris, David Meyre, Andre Scherag, Mark I McCarthy, Elizabeth K Speliotes, Kari E North, Ruth J F Loos, Erik Ingelsson[show abstract] [hide abstract]
ABSTRACT: Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.Nature Genetics 04/2013; · 35.53 Impact Factor -
SourceAvailable from: Darya Gaysina
Article: The catechol-O-methyltransferase gene (COMT) and cognitive function from childhood through adolescence.
Darya Gaysina, Man K Xu, Jennifer H Barnett, Tim J Croudace, Andrew Wong, Marcus Richards, Peter B Jones[show abstract] [hide abstract]
ABSTRACT: Genetic variation in the catechol-O-methyltransferase gene (COMT) can influence cognitive function, and this effect may depend on developmental stage. Using a large representative British birth cohort, we investigated the effect of COMT on cognitive function (verbal and non-verbal) at ages 8 and 15 years taking into account the possible modifying effect of pubertal stage. Five functional COMT polymorphisms, rs6269, rs4818, rs4680, rs737865 and rs165599 were analysed. Associations between COMT polymorphisms and cognition were tested using regression and latent variable structural equation modelling (SEM). Before correction for multiple testing, COMT rs737865 showed association with reading comprehension, verbal ability and global cognition at age 15 years in pubescent boys only. Although there was some evidence for age- and sex-specific effects of the COMT rs737865 none remained significant after correction for multiple testing. Further studies are necessary in order to make firmer conclusions.Biological psychology 11/2012; · 4.36 Impact Factor -
Article: The role of longitudinal cohort studies in epigenetic epidemiology: challenges and opportunities.
[show abstract] [hide abstract]
ABSTRACT: Longitudinal cohort studies are ideal for investigating how epigenetic patterns change over time and relate to changing exposure patterns and the development of disease. We highlight the challenges and opportunities in this approach.Genome biology 06/2012; 13(6):246. · 6.63 Impact Factor -
SourceAvailable from: PubMed Central
Article: Adult obesity susceptibility variants are associated with greater childhood weight gain and a faster tempo of growth: the 1946 British Birth Cohort Study.
Cathy E Elks, Ruth J F Loos, Rebecca Hardy, Andrew K Wills, Andrew Wong, Nicholas J Wareham, Diana Kuh, Ken K Ong[show abstract] [hide abstract]
ABSTRACT: Longitudinal growth associations with genetic variants identified for adult BMI may provide insights into the timing of obesity susceptibility. The objective was to explore associations of known BMI loci with measures of body size from birth to adulthood. A total of 2537 individuals from a longitudinal British birth cohort were genotyped for 11 genetic variants robustly associated with adult BMI (in/near FTO, MC4R, TMEM18, GNPDA2, KCTD15, NEGR1, BDNF, ETV5, SEC16B, SH2B1, and MTCH2). We derived an obesity-risk-allele score, comprising the sum of BMI-increasing alleles in each individual, and examined this for an association with birth weight and repeated measures of weight, height, and BMI SD scores (SDS) at 11 time points between ages 2 and 53 y. The obesity-risk-allele score showed borderline significant association with birth weight (0.019 SDS/allele; P = 0.05) and was more clearly associated with higher weight and BMI at all time points between ages 2 and 53 y; the strongest associations with weight occurred at ages 11 and 20 y (both 0.056 SDS/allele). In longitudinal analyses, the score was positively associated with weight gain only between birth and 11 y (0.003 SDS/allele per year; 95% CI: 0.001, 0.004; P = 0.001). The risk-allele score was associated with taller height at 7 y (0.031 SDS/allele; P = 0.002) and greater height gains between 2 and 7 y (0.007 SDS/allele per year; P < 0.001), but not with adult height (P = 0.5). The combined effect of adult obesity susceptibility variants on weight gain was confined to childhood. These variants conferred a faster tempo of height growth that was evident before the pubertal years.American Journal of Clinical Nutrition 03/2012; 95(5):1150-6. · 6.67 Impact Factor