Most individuals throughout the Americas are admixed descendants of Native American, European, and African ancestors. Complex historical factors have resulted in varying proportions of ancestral contributions between individuals within and among ethnic groups. We developed a panel of 446 ancestry informative markers (AIMs) optimized to estimate ancestral proportions in individuals and populations throughout Latin America. We used genome-wide data from 953 individuals from diverse African, European, and Native American populations to select AIMs optimized for each of the three main continental populations that form the basis of modern Latin American populations. We selected markers on the basis of locus-specific branch length to be informative, well distributed throughout the genome, capable of being genotyped on widely available commercial platforms, and applicable throughout the Americas by minimizing within-continent heterogeneity. We then validated the panel in samples from four admixed populations by comparing ancestry estimates based on the AIMs panel to estimates based on genome-wide association study (GWAS) data. The panel provided balanced discriminatory power among the three ancestral populations and accurate estimates of individual ancestry proportions (R2>0.9 for ancestral components with significant between-subject variance). Finally, we genotyped samples from 18 populations from Latin America using the AIMs panel and estimated variability in ancestry within and between these populations. This panel and its reference genotype information will be useful resources to explore population history of admixture in Latin America and to correct for the potential effects of population stratification in admixed samples in the region.

ObjectivesGestational diabetes mellitus (GDM) is associated with a higher risk for adverse health outcomes during pregnancy and delivery for both mothers and babies. This study aims to assess the short-term health and economic burden of GDM in China in 2015.DesignUsing TreeAge Pro, an analytical decision model was built to estimate the incremental costs and quality-of-life loss due to GDM, in comparison with pregnancy without GDM from the 28th gestational week until and including childbirth. The model was populated with probabilities and costs based on current literature, clinical guidelines, price lists and expert interviews. Deterministic and probabilistic sensitivity analyses were performed to test the robustness of the results.ParticipantsChinese population who gave birth in 2015.ResultsOn average, the cost of a pregnancy with GDM was ¥6677.37 (in 2015 international $1929.87) more (+95%) than a pregnancy without GDM, due to additional expenses during both the pregnancy and delivery: ¥4421.49 for GDM diagnosis and treatment, ¥1340.94 (+26%) for the mother’s complications and ¥914.94 (+52%) for neonatal complications. In China, 16.5 million babies were born in 2015. Given a GDM prevalence of 17.5%, the number of pregnancies affected by GDM was estimated at 2.90 million in 2015. Therefore, the annual societal economic burden of GDM was estimated to be ¥19.36 billion (international $5.59 billion). Sensitivity analyses were used to confirm the robustness of the results. Incremental health losses were estimated to be approximately 260 000 quality-adjusted life years.ConclusionIn China, the GDM economic burden is significant, even in the short-term perspective and deserves more attention and awareness. Our findings indicate a clear need to implement GDM prevention and treatment strategies at a national level in order to reduce the economic and health burden at both the population and individual levels.

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Parents' feeding practices have been shown to be associated with children's food intake and weight status, but little is known about feeding practices in Asian countries. This study used behavioral observation to explore the feeding practices of 201 mothers of 4.5 year-old children in Singapore during an ad libitum buffet lunch. Feeding practices were coded from videos, focusing on behaviors used to prompt the child to eat more food (autonomy-supportive and coercivecontrolling prompts to eat, suggesting items from buffet), those to reduce intake (restriction, questioning food choice), and those related to eating rate (hurrying or slowing child eating). Child outcome measures included energy consumed, variety of food items selected, and BMI. Maternal restriction and trying to slow child eating rate were associated with higher energy consumed by the child (r=0.19 and 0.13, respectively; p<0.05). Maternal autonomy-supportive prompts and restriction were associated with a greater variety of items selected by children (r=0.19 and 0.15, respectively; p<0.05). The frequency of maternal feeding practice use differed across ethnic groups, with Malay mothers using the most prompts to eat (p<0.05), Chinese mothers most likely to question a child's food choice (p<0.01), and Indian mothers the last likely to tell the child to eat faster (p<0.001). There were no differences between ethnic groups for other feeding practices. No associations were found between feeding practices and child BMI. It is possible that feeding practices related to restriction and slowing child eating are adopted in response to children who consume larger portions, although longitudinal or intervention studies are needed to confirm the direction of this relationship and create local recommendations.