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Background: Despite evidence for some genetic control of dietary intake in adults, there is little evidence of how genetic factors influence children's dietary patterns. Objective: To estimate heritability of dietary intake in twin children from China and test if genetic effects on dietary intakes vary by the children's socio-economic status (SES). Methods: A sample of 622 twins (162 monozygotic and 149 dizygotic pairs; 298 boys and 324 girls aged 7–15 years) was recruited in South China. Dietary intakes were assessed using a validated 145-item semi-quantitative food frequency questionnaire. Pooled and sex-specific dietary patterns were identified using factor analysis. Heritability was estimated using structural equation models. Results: Heritable components differed by gender and for nutrients and food groups; and estimated heritability of dietary patterns was generally greater in girls than boys. In boys, estimated heritabilities ranged from 18.8% (zinc) to 58.4% (fat) for nutrients; and for food group, 1.1% (Western fast foods) to 65.8% (soft drinks). In girls, these estimates ranged from 5.1% (total energy) to 38.7% (percentage of energy from fat) for nutrients, and 12.6% (eggs) to 94.6% (Western fast foods) for food groups. Factor analysis identified five food patterns: vegetables and fruits, fried and fast foods, beverages, snacks and meats. Maternal education and family income were positively associated with higher heritabilities for intake of meat, fried, and fast food. Conclusions: Genetic influence on dietary intakes differed by gender, nutrients, food groups, and dietary patterns among Chinese twins. Parental SES characteristics modified the estimated genetic influence.

<i>Objective:</i> To conduct the first employer/workplace survey identifying employment opportunities for graduates of programs with training in public health genetics in the USA, and to determine whether employment opportunities will increase in coming years. <i>Methods:</i> Six public health genetics training competencies were developed. A survey about workplace and employment opportunities was then conducted with mailings to (1) departments in schools of public health and departments of preventive medicine, (2) local and regional public health officials, (3) insurance companies and health management organizations (HMOs), and (4) biotechnology and pharmaceutical companies. <i>Results:</i> A total of 196 surveys were returned among 1,464 that were mailed. Response rates varied from 5.8 to 46.5% among the target groups. The percent of responding organizations currently employing individuals with skills in genetics ranged from 20 to 62%. The percent currently employing individuals with skills in public health ranged from 39 to 96%. Training opportunities such as internships or practicum experiences are reported for one-third of respondents. For all of the competencies, approximately half of survey respondents who rated the competency important or very important already employ individuals with public health genetics skills. Similarly, at least a quarter of survey respondents who rated the competency important or very important plan to hire individuals with that skill in the next 5 years. Overall, approximately 40% of those surveyed are planning to hire individuals with competencies in public health genetics in the next 5 years. <i>Conclusion:</i> Employment opportunities already exist and new positions are becoming available in schools of public health and departments of preventive medicine, departments of public health, insurance companies and HMOs for professionals with public health genetics training. Based on our survey findings, skills and training in public health genetics are important in the workplace.

Platelet aggregation at the site of atherosclerotic vascular injury is the underlying pathophysiology of myocardial infarction and stroke. To build upon prior GWAS, here we report on 16 loci identified through a whole genome sequencing (WGS) approach in 3,855 NHLBI Trans-Omics for Precision Medicine (TOPMed) participants deeply phenotyped for platelet aggregation. We identify the RGS18 locus, which encodes a myeloerythroid lineage-specific regulator of G-protein signaling that co-localizes with expression quantitative trait loci (eQTL) signatures for RGS18 expression in platelets. Gene-based approaches implicate the SVEP1 gene, a known contributor of coronary artery disease risk. Sentinel variants at RGS18 and PEAR1 are associated with thrombosis risk and increased gastrointestinal bleeding risk, respectively. Our WGS findings add to previously identified GWAS loci, provide insights regarding the mechanism(s) by which genetics may influence cardiovascular disease risk, and underscore the importance of rare variant and regulatory approaches to identifying loci contributing to complex phenotypes. © 2021, This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply. ; National Institutes of Health ; https://doi.org/10.1038/s41467-021-23470-9