scholarly journals A nutrigenetics approach to study the impact of genetic and lifestyle factors on cardiometabolic traits in various ethnic groups: findings from the GeNuIne Collaboration

2020 ◽  
Vol 79 (2) ◽  
pp. 194-204 ◽  
Author(s):  
Karani S. Vimaleswaran
Keyword(s):  
Ethnic Groups ◽  
Large Scale ◽  
South Asians ◽  
Genetic Risk Score ◽  
High Protein Diet ◽  
Population Based ◽  
Collaborative Project ◽  
Increased Risk ◽  
The Impact ◽  
Cardiometabolic Traits

Several studies on gene–diet interactions (nutrigenetics) have been performed in western populations; however, there are only a few studies to date in lower middle-income countries (LMIC). A large-scale collaborative project called gene–nutrient interactions (GeNuIne) Collaboration, the main objective of which is to investigate the effect of GeNuIne on cardiometabolic traits using population-based studies from various ethnic groups, has been initiated at the University of Reading, UK. While South Asians with higher genetic risk score (GRS) showed a higher risk of obesity in response to a high-carbohydrate diet, South East and Western Asian populations with higher GRS showed an increased risk of central obesity in response to a high-protein diet. The paper also provides a summary of other gene–diet interaction analyses that were performed in LMIC as part of this collaborative project and gives an overview of how these nutrigenetic findings can be translated to personalised and public health approaches for the prevention of cardiometabolic diseases such as obesity, type 2 diabetes and CVD.

scholarly journals Physical Activity Is Associated With Lower Long-Term Incidence of Anxiety in a Population-Based, Large-Scale Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Martina Svensson ◽  
Lena Brundin ◽  
Sophie Erhardt ◽  
Ulf Hållmarker ◽  
Stefan James ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Performance ◽  
Lower Risk ◽  
Large Scale ◽  
Population Based ◽  
Patient Registries ◽  
Swedish Population ◽  
Increased Risk ◽  
Observational Study Design ◽  
The Impact

Physical activity may prevent anxiety, but the importance of exercise intensity, sex-specific mechanisms, and duration of the effects remains largely unknown. We used an observational study design to follow 395,369 individuals for up to 21 years to investigate if participation in an ultralong-distance cross-country ski race (Vasaloppet, up to 90 km) was associated with a lower risk of developing anxiety. Skiers in the race and matched non-skiers from the general population were studied after participation in the race using the Swedish population and patient registries. Skiers (n = 197,685, median age 36 years, 38% women) had a significantly lower risk of developing anxiety during the follow-up compared to non-skiers (adjusted hazard ratio, HR 0.42). However, among women, higher physical performance (measured as the finishing time to complete the race, a proxy for higher exercise dose) was associated with an increased risk of anxiety compared to slower skiing women (HR 2.00). For men, the finishing time of the race did not significantly impact the risk of anxiety. Our results support the recommendations of engaging in physical activity to decrease the risk of anxiety in both men and women. The impact of physical performance level on the risk of anxiety requires further investigations among women.

scholarly journals Does the impact of a plant-based diet during pregnancy on birth weight differ by ethnicity? A dietary pattern analysis from a prospective Canadian birth cohort alliance

BMJ Open ◽  
2017 ◽  
Vol 7 (11) ◽  
pp. e017753 ◽  
Author(s):  
Michael A Zulyniak ◽  
Russell J de Souza ◽  
Mateen Shaikh ◽  
Dipika Desai ◽  
Diana L Lefebvre ◽  
...  
Keyword(s):  
Birth Weight ◽  
Ethnic Groups ◽  
Gestational Age ◽  
Dietary Pattern ◽  
South Asians ◽  
Lower Birth Weight ◽  
Increased Risk ◽  
Unit Increase ◽  
Maternal Consumption ◽  
The Impact

ObjectiveBirth weight is an indicator of newborn health and a strong predictor of health outcomes in later life. Significant variation in diet during pregnancy between ethnic groups in high-income countries provides an ideal opportunity to investigate the influence of maternal diet on birth weight.SettingFour multiethnic birth cohorts based in Canada (the NutriGen Alliance).Participants3997 full-term mother–infant pairs of diverse ethnic groups who had principal component analysis-derived diet pattern scores—plant-based, Western and health-conscious—and birth weight data.ResultsNo associations were identified between the Western and health-conscious diet patterns and birth weight; however, the plant-based dietary pattern was inversely associated with birth weight (β=−67.6 g per 1-unit increase; P<0.001), and an interaction with non-white ethnicity and birth weight was observed. Ethnically stratified analyses demonstrated that among white Europeans, maternal consumption of a plant-based diet associated with lower birth weight (β=−65.9 g per 1-unit increase; P<0.001), increased risk of small-for-gestational age (SGA; OR=1.46; 95% CI 1.08 to 1.54;P=0.005) and reduced risk of large-for-gestational age (LGA; OR=0.71; 95% CI 0.53 to 0.95;P=0.02). Among South Asians, maternal consumption of a plant-based diet associated with a higher birth weight (β=+40.5 g per 1-unit increase; P=0.01), partially explained by cooked vegetable consumption.ConclusionsMaternal consumption of a plant-based diet during pregnancy is associated with birth weight. Among white Europeans, a plant-based diet is associated with lower birth weight, reduced odds of an infant born LGA and increased odds of SGA, whereas among South Asians living in Canada, a plant-based diet is associated with increased birth weight.

Body mass index and risk of all-cause mortality in normotensive and hypertensive adults: The Rural Chinese Cohort Study

2021 ◽  
pp. 1-25
Author(s):  
Qionggui Zhou ◽  
Xuejiao Liu ◽  
Yang Zhao ◽  
Pei Qin ◽  
Yongcheng Ren ◽  
...  
Keyword(s):  
Cohort Study ◽  
Population Based ◽  
Normal Weight ◽  
Sensitivity Analyses ◽  
Hypertension Status ◽  
Moderation Effect ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Chinese Cohort ◽  
The Impact

Abstract Objective: The impact of baseline hypertension status on the BMI–mortality association is still unclear. We aimed to examine the moderation effect of hypertension on the BMI–mortality association using a rural Chinese cohort. Design: In this cohort study, we investigated the incident of mortality according to different BMI categories by hypertension status. Setting: Longitudinal population-based cohort Participants: 17,262 adults ≥18 years were recruited from July to August of 2013 and July to August of 2014 from a rural area in China. Results: During a median 6-year follow-up, we recorded 1109 deaths (610 with and 499 without hypertension). In adjusted models, as compared with BMI 22-24 kg/m2, with BMI ≤18, 18-20, 20-22, 24-26, 26-28, 28-30 and >30 kg/m2, the HRs (95% CI) for mortality in normotensive participants were 1.92 (1.23-3.00), 1.44 (1.01-2.05), 1.14 (0.82-1.58), 0.96 (0.70-1.31), 0.96 (0.65-1.43), 1.32 (0.81-2.14), and 1.32 (0.74-2.35) respectively, and in hypertensive participants were 1.85 (1.08-3.17), 1.67 (1.17-2.39), 1.29 (0.95-1.75), 1.20 (0.91-1.58), 1.10 (0.83-1.46), 1.10 (0.80-1.52), and 0.61 (0.40-0.94) respectively. The risk of mortality was lower in individuals with hypertension with overweight or obesity versus normal weight, especially in older hypertensives (≥60 years old). Sensitivity analyses gave consistent results for both normotensive and hypertensive participants. Conclusions: Low BMI was significantly associated with increased risk of all-cause mortality regardless of hypertension status in rural Chinese adults, but high BMI decreased the mortality risk among individuals with hypertension, especially in older hypertensives.

scholarly journals Multi-GPU approach to global induction of classification trees for large-scale data mining

2021 ◽  
Author(s):  
Krzysztof Jurczuk ◽  
Marcin Czajkowski ◽  
Marek Kretowski
Keyword(s):  
Data Mining ◽  
Large Scale ◽  
Real Life ◽  
Population Based ◽  
Tree Structure ◽  
Global Approach ◽  
Data Parallel ◽  
Large Scale Data ◽  
The Impact ◽  
Scale Data

AbstractThis paper concerns the evolutionary induction of decision trees (DT) for large-scale data. Such a global approach is one of the alternatives to the top-down inducers. It searches for the tree structure and tests simultaneously and thus gives improvements in the prediction and size of resulting classifiers in many situations. However, it is the population-based and iterative approach that can be too computationally demanding to apply for big data mining directly. The paper demonstrates that this barrier can be overcome by smart distributed/parallel processing. Moreover, we ask the question whether the global approach can truly compete with the greedy systems for large-scale data. For this purpose, we propose a novel multi-GPU approach. It incorporates the knowledge of global DT induction and evolutionary algorithm parallelization together with efficient utilization of memory and computing GPU’s resources. The searches for the tree structure and tests are performed simultaneously on a CPU, while the fitness calculations are delegated to GPUs. Data-parallel decomposition strategy and CUDA framework are applied. Experimental validation is performed on both artificial and real-life datasets. In both cases, the obtained acceleration is very satisfactory. The solution is able to process even billions of instances in a few hours on a single workstation equipped with 4 GPUs. The impact of data characteristics (size and dimension) on convergence and speedup of the evolutionary search is also shown. When the number of GPUs grows, nearly linear scalability is observed what suggests that data size boundaries for evolutionary DT mining are fading.

scholarly journals Prediction of sepsis-related outcomes in neonates through systematic genotyping of polymorphisms in genes for innate immunity and inflammation: a narrative review and critical perspective

2013 ◽  
Vol 131 (5) ◽  
pp. 338-350 ◽  
Author(s):  
Juliana Kilesse Carvalho ◽  
Daniella Batalha Moore ◽  
Ricardo Alves Luz ◽  
Pedro Paulo Xavier-Elsas ◽  
Maria Ignez Capella Gaspar-Elsas
Keyword(s):  
Innate Immunity ◽  
Gene Polymorphisms ◽  
Large Scale ◽  
Scientific Evidence ◽  
Cochrane Library ◽  
Increased Risk ◽  
Immunity Genes ◽  
Hemostatic Factors ◽  
Narrative Literature Review ◽  
The Impact

CONTEXT AND OBJECTIVE: Neonatal sepsis is associated with premature birth and maternal infection. Large-scale studies seek to define markers that identify neonates at risk of developing sepsis. Here, we examine whether the scientific evidence supports systematic use of polymorphism genotyping in cytokine and innate immunity genes, to identify neonates at increased risk of sepsis. DESIGN AND SETTING: Narrative literature review conducted at Fernandes Figueira Institute, Brazil. METHODS: The literature was searched in PubMed, Embase (Excerpta Medica Database), Lilacs (Literatura Latino-Americana e do Caribe em Ciências da Saúde), SciELO (Scientific Electronic Library Online) and Cochrane Library. From > 400,000 references, 548 were retrieved based on inclusion/exclusion criteria; 22 were selected for detailed analysis after quality assessment. RESULTS: The studies retrieved addressed the impact of gene polymorphisms relating to immune mechanisms (most often TNF-a, LT-a, IL-6, IL-1β, IL-1ra, L-selectin, CD14 and MBL) or inflammatory mechanisms (ACE and angiotensin II receptors; secretory PLA2; and hemostatic factors). Despite initial reports suggesting positive associations between specific polymorphisms and increased risk of sepsis, the accumulated evidence has not confirmed that any of them have predictive power to justify systematic genotyping. CONCLUSIONS: Sepsis prediction through systematic genotyping needs to be reevaluated, based on studies that demonstrate the functional impact of gene polymorphisms and epidemiological differences among ethnically distinct populations.

scholarly journals Association of ABO haplotypes with the risk of venous thrombosis: impact on disease risks estimation

Blood ◽  
2020 ◽  
Author(s):  
Louisa Goumidi ◽  
Florian Thibord ◽  
Kerri L. Wiggins ◽  
Ruifang Li-Gao ◽  
Michael R Brown ◽  
...  
Keyword(s):  
Venous Thrombosis ◽  
Blood Group ◽  
Plasma Levels ◽  
Odds Ratio ◽  
Prediction Models ◽  
Genetic Risk Score ◽  
Individual Risk ◽  
Abo Blood Group ◽  
Increased Risk ◽  
The Impact

Genetic risk score (GRS) analysis is an increasingly popular approach to derive individual risk prediction models for complex diseases. In the context of venous thrombosis (VT), any GRS shall integrate information at the ABO blood group locus, the latter being one of the major susceptibility locus for this disease. However, there is yet no consensus about which single nucleotide polymorphisms (SNPs) must be investigated when one is interested in properly assessing the association of ABO locus with VT risk. Using comprehensive haplotype analyses of ABO blood group tagging SNPs in up to 5,425 cases and 8,445 controls from 6 studies, we demonstrated that using only rs8176719 (tagging O1) to correctly assess the impact of ABO locus on VT risk is suboptimal as 5% of rs8176719-delG carriers are not exposed at higher VT risk. Instead, we recommend to use 4 SNPs, rs2519093 (tagging A1), rs1053878 (A2), rs8176743 (B) and rs41302905 (O2) in any analysis aimed at assessing the impact of ABO locus on VT risk to avoid any risk misestimation. Compared to O1 haplotype that can be inferred from these 4 SNPs, the A2 haplotype is associated with a modest increase in VT risk (odds ratio ~1.2), A1 and B haplotypes are associated with a ~1.8 fold increased risk while O2 tend to be slightly protective (odds ratio ~0.80). In addition, our analyses clearly showed that while the A1 an B blood group are associated with increased vWF and FVIII plasma levels only the A1 blood group is associated wih ICAM plasma levels but in an opposite direction, leaving additional avenues to be explored in order to fully understand the whole spectrum of biological effect of ABO locus on cardiovascular traits.

scholarly journals Large-scale application of the flood damage model RAilway Infrastructure Loss (RAIL)

2016 ◽  
Vol 16 (11) ◽  
pp. 2357-2371 ◽  
Author(s):  
Patric Kellermann ◽  
Christine Schönberger ◽  
Annegret H. Thieken
Keyword(s):  
Risk Management ◽  
Risk Aversion ◽  
Flood Risk ◽  
Structural Damage ◽  
Large Scale ◽  
Damage Model ◽  
Flood Damage ◽  
Railway Infrastructure ◽  
Increased Risk ◽  
The Impact

Abstract. Experience has shown that river floods can significantly hamper the reliability of railway networks and cause extensive structural damage and disruption. As a result, the national railway operator in Austria had to cope with financial losses of more than EUR 100 million due to flooding in recent years. Comprehensive information on potential flood risk hot spots as well as on expected flood damage in Austria is therefore needed for strategic flood risk management. In view of this, the flood damage model RAIL (RAilway Infrastructure Loss) was applied to estimate (1) the expected structural flood damage and (2) the resulting repair costs of railway infrastructure due to a 30-, 100- and 300-year flood in the Austrian Mur River catchment. The results were then used to calculate the expected annual damage of the railway subnetwork and subsequently analysed in terms of their sensitivity to key model assumptions. Additionally, the impact of risk aversion on the estimates was investigated, and the overall results were briefly discussed against the background of climate change and possibly resulting changes in flood risk. The findings indicate that the RAIL model is capable of supporting decision-making in risk management by providing comprehensive risk information on the catchment level. It is furthermore demonstrated that an increased risk aversion of the railway operator has a marked influence on flood damage estimates for the study area and, hence, should be considered with regard to the development of risk management strategies.

scholarly journals Environmental asbestos exposure and clustering of malignant mesothelioma in community: a spatial analysis in a population-based case–control study

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
C. Airoldi ◽  
C. Magnani ◽  
F. Lazzarato ◽  
D. Mirabelli ◽  
S. Tunesi ◽  
...  
Keyword(s):  
Spatial Variation ◽  
Malignant Mesothelioma ◽  
Case Control Study ◽  
Disease Risk ◽  
Population Based ◽  
Case Control ◽  
Contour Plot ◽  
Increased Risk ◽  
The Impact ◽  
Control Study

Abstract Background Neighborhood exposure to asbestos increases the risk of developing malignant mesothelioma (MM) in residents who live near asbestos mines and asbestos product plants. The area of Casale Monferrato (Northwest Italy) was impacted by several sources of asbestos environmental pollution, due to the presence of the largest Italian asbestos cement (AC) plant. In the present study, we examined the spatial variation of MM risk in an area with high levels of asbestos pollution and secondly, and we explored the pattern of clustering. Methods A population-based case–control study conducted between 2001 and 2006 included 200 cases and 348 controls. Demographic and occupational data along with residential information were recorded. Bivariate Kernel density estimation was used to map spatial variation in disease risk while an adjusted logistic model was applied to estimate the impact of residential distance from the AC plant. Kulldorf test and Cuzick Edward test were then performed. Results One hundred ninety-six cases and 322 controls were included in the analyses. The contour plot of the cases to controls ratio showed a well-defined peak of MM incidence near the AC factory, and the risk decreased monotonically in all directions when large bandwidths were used. However, considering narrower smoothing parameters, several peaks of increased risk were reported. A constant trend of decreasing OR with increasing distance was observed, with estimates of 10.9 (95% CI 5.32–22.38) and 10.48 (95%CI 4.54–24.2) for 0–5 km and 5–10 km, respectively (reference > 15 km). Finally, a significant (p < 0.0001) excess of cases near the pollution source was identified and cases are spatially clustered relative to the controls until 13 nearest neighbors. Conclusions In this study, we found an increasing pattern of mesothelioma risk in the area around a big AC factory and we detected secondary clusters of cases due to local exposure points, possibly associated to the use of asbestos materials.

Abstract P149: A Large-scale Multi Ethnic Study of a Direct Measure of Insulin Sensitivity Demonstrates That South Asians are the Most Insulin Resistant Ethnic Group in the US

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Monica S Divakaruni ◽  
Fahim Abbasi ◽  
Manisha Desai ◽  
Cynthia A Lamendola ◽  
Latha Palaniappan ◽  
...  
Keyword(s):  
Insulin Sensitivity ◽  
Ethnic Group ◽  
Ethnic Groups ◽  
South Asian ◽  
Large Scale ◽  
South Asians ◽  
Insulin Resistant ◽  
The Us ◽  
Resistant Group ◽  
Direct Measures

Introduction: Insulin resistance (IR) is a known risk factor for heart disease. Few studies have compared race/ethnic differences in IR using ‘gold standard’ direct measures of insulin sensitivity. Methods: A total of 892 non-diabetic subjects (548 White, 106 South Asian, 103 East Asian, 86 Hispanic and 49 Black) underwent a 4-hour insulin suppression test (IST) as a part of various IR related studies at Stanford over the last ∼20 years. We used generalized estimating equations assuming an exchangeable correlation structure to determine the association between race/ethnicity and steady state plasma glucose (SSPG) derived from an IST, accounting for correlation of outcomes among subjects from the same study. We similarly determined whether differences in plasma triglyceride (TG) and high-density lipoprotein (HDL) levels among race/ethnic groups could be explained by differences in SSPG. All analyses were adjusted for age, sex, and BMI. Results: Significant differences among the race/ethnic groups in SSPG were observed (p <0.001). South Asians were the most insulin resistant group with a mean increase in SSPG of 38 mg/dL, compared to whites after controlling for age, sex, and BMI, a difference equivalent to ∼1/2 of the standard deviation of SSPG. East Asians were the next most resistant group (mean +33 mg/dl SSPG compared to whites) followed by Hispanics (+20 mg/dl), Whites, and Blacks (−7 mg/dl). South Asians were the only group with significantly higher TG (mean +1.16 fold, p=0.04) and lower HDL (−3.0 mg/dl, p=0.02) levels compared to whites but these differences were no longer evident after controlling for SSPG. In contrast, Blacks had significantly lower TG (mean 0.8 fold, p = 0.006) compared to whites, but this difference was not at all mitigated after adjusting for SSPG. Blacks also had no significant differences in HDL compared to whites. Conclusions: Direct measures of insulin sensitivity suggest that South Asians are the most insulin resistant race/ethnic group in the US even after adjusting for the principal determinants of IR. IR may be largely responsible for differences in TG and HDL observed between South Asian and other race/ethnic groups. The etiologies behind differences in insulin sensitivity across race/ethnic groups remain to be determined.

P0211GLOMERULAR HYPERFILTRATION AND CANCER: A NATIONWIDE POPULATION-BASED STUDY

2020 ◽  
Vol 35 (Supplement_3) ◽  
Author(s):  
Yaerim Kim ◽  
Jeongsoo Yoon ◽  
Jin Hyuk Paek ◽  
Woo Yeong Park ◽  
Kyubok Jin ◽  
...  
Keyword(s):  
National Health ◽  
Malignant Disease ◽  
Cox Regression ◽  
Asian Population ◽  
Population Based ◽  
Glomerular Hyperfiltration ◽  
Outcome Variable ◽  
Cox Regression Analysis ◽  
Increased Risk ◽  
The Impact

Abstract Background and Aims Glomerular hyperfiltration is associated with all-cause mortality. Herein, we evaluated the association between glomerular hyperfiltration and the development of malignant disease, the most common cause of death, in an Asian population. Method We retrospectively reviewed the National Health Insurance Service database of Korea for people who received national health screenings from 2012 to 2013. Glomerular hyperfiltration was defined as the 95th percentile and greater after adjusting for age and sex. We performed a multivariate Cox regression analysis using glomerular hyperfiltration at the first health screening as the exposure variable and cancer development as the outcome variable to evaluate the impact of glomerular hyperfiltration on the development of malignant disease. Results A total of 1,953,123 examinations who followed-up for 4.9 years were included in this study. Among the 8 different site-specific malignant disease categories, digestive organs and female genital organs showed a significant associations between glomerular hyperfiltration and malignancy. The population with glomerular hyperfiltration showed an increased risk for stomach cancer (adjusted hazard ratio [aHR], 1.27), colorectal cancer (aHR, 1.23), and liver or intrahepatic malignancy (aHR, 1.40). In addition, the risk for uterine and ovarian cancer was significantly increased in the population with glomerular hyperfiltration (aHR, 1.36). Conclusion Glomerular hyperfiltration was associated with an increased risk for the development of malignant diseases in specific organs, such as the stomach, colorectum, uterus, and ovary. Glomerular hyperfiltration needs to be considered a significant sign of the need to evaluate the possibility of hidden adverse health conditions, including malignancies.

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