The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

This dataset consists of a single data table in .docx Word document format, holding aggregated data on cardiovascular risk factors for men in Paramaribo, Suriname.In related studies from 2013-2015, the population of Suriname was found to have a high cardiovascular risk factor burden. Around 40% of the general population was hypertensive, 15% had diabetes, and the large majority had one or more risk factors for cardiovascular disease. However, it was not possible to assess time trends in these risk factors as historical data were lacking.

This dataset holds rediscovered and hitherto unpublished aggregated data of what was apparently the first population study on measured blood pressure, diabetes, and cardiovascular health in men in Suriname, assessed in 1973. These are presented alongside 2013 data for the same variables. These data may help understand the cardiovascular risk factor escalation of the local population in time as well as aid in projections of future cardiovascular disease in this middle income country. The variables reported in the data table are: sample size (%), sampling method, African ancestry (%), Regular leisure exercise (%), Ever smoked tobacco (%), Hypertension (%) and Diabetes (%).

Sexual mixing with other ethnic groups among participants, by Chlamydia trachomatis cluster, Paramaribo, Suriname and Amsterdam, the Netherlands, 2008–10.

Sample characteristics of the total sample and the different ethnic groups.

Of the total non-Western population of approximately 2.53 million people in the Netherlands, people of Turkish origins formed the largest group with 430,000 people. The Dutch of Moroccan and Surinamese descent form the second and third-largest groups, with 419,300 and 359,800 people respectively.

Genetic differences between individuals underlie susceptibility to many diseases. Genome-wide association studies (GWAS) have discovered many susceptibility genes but were often limited to cohorts of predominantly European ancestry. Genetic diversity between individuals due to different ancestries and evolutionary histories shows that this approach has limitations. In order to gain a better understanding of the associated genetic variation, we need a more global genomics approach including a greater diversity. Here, we introduce the Healthy Life in an Urban Setting (HELIUS) cohort. The HELIUS cohort consists of participants living in Amsterdam, with a level of diversity that reflects the Dutch colonial and recent migration past. The current study includes 10,283 participants with genetic data available from seven groups of inhabitants, namely, Dutch, African Surinamese, South-Asian Surinamese, Turkish, Moroccan, Ghanaian, and Javanese Surinamese. First, we describe the genetic variation and admixture within the HELIUS cohort. Second, we show the challenges during imputation when having a genetically diverse cohort. Third, we conduct a body mass index (BMI) and height GWAS where we investigate the effects of a joint analysis of the entire cohort and a meta-analysis approach for the different subgroups. Finally, we construct polygenic scores for BMI and height and compare their predictive power across the different ethnic groups. Overall, we give a comprehensive overview of a genetically diverse cohort from Amsterdam. Our study emphasizes the importance of a less biased and more realistic representation of urban populations for mapping genetic associations with complex traits and disease risk for all.

Percentages in row totals can exceed 100% as participants may have partners from various ethnicities.O = observed; E = expected. χ2 based on goodness of fit.The expected number of people with sexual partners from their own ethnicity was calculated by multiplying the total number of reported partners of an ethnicity (e.g. n = 353 for Hindustani) by the proportion of individuals from each ethnicity in the study (e.g. 19% for Hindustani). O/E is the ratio of the observed number of partners (e.g. n = 225 for Hindustani) divided by the expected number of partners from that ethnic group (e.g. n = 68 for Hindustani).aOther; Caucasian, Chinese, Indigenous (n = 57), unknown (n = 6).