scholarly journals Genome-Wide Scan of Obesity in Finnish Sibpairs Reveals Linkage to Chromosome Xq24*

2000 ◽  
Vol 85 (9) ◽  
pp. 3183-3190 ◽  
Author(s):  
Miina Öhman ◽  
Laura Oksanen ◽  
Jaakko Kaprio ◽  
Markku Koskenvuo ◽  
Pertti Mustajoki ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Chromosomal Region ◽  
Adult Population ◽  
Average Density ◽  
Model Free ◽  
Melanocortin 4 Receptor ◽  
Genome Wide ◽  
Sample Set ◽  
Genome Wide Scan

Abstract Obesity is a multifactorial trait with evidence of a genetic component. Obesity is very common in all westernized countries, including Finland, where 10% of the adult population has a body mass index of 32 kg/m2 or more. Here we report results from a three-stage genome-wide scan of obesity in 188 affected subjects (body mass index,≥ 32 kg/m2) from 87 Finnish families. Initially, 374 markers with an average density of 10 centimorgans were genotyped. The strongest evidence for linkage to obesity was detected on chromosome Xq24, with the marker DXS6804 providing a maximum likelihood score (MLS) 3.14 in a model-free 2-point sibpair analysis. Fine-mapping in an extended sample set of 367 affected subjects from 166 families yielded a multipoint MLS of 3.48 over this X-chromosomal region. The Xq24 region contains a plausible candidate gene, serotonin 2C receptor, variants of which have been shown to predispose to obesity and type II diabetes in mice. Another chromosomal region also provided suggestive evidence of linkage, an area on 18q21, flanking the melanocortin-4 receptor, where a 2-point MLS of 2.42 with marker D18S1155 was obtained with a set of 367 affected subjects. In conclusion, our results in this Finnish study sample suggest that a locus on chromosome Xq24 influences the risk of obesity.

A genomewide study of body mass index and its genetic correlation with thromboembolic risk

2014 ◽  
Vol 112 (11) ◽  
pp. 1036-1043 ◽  
Author(s):  
Geórgia Pena ◽  
Andrey Ziyatdinov ◽  
Alfonso Buil ◽  
Sonia López ◽  
Jordi Fontcuberta ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Genetic Correlation ◽  
Body Mass ◽  
Thromboembolic Disease ◽  
Thromboembolic Risk ◽  
Genetic Components ◽  
Genome Wide ◽  
Thrombosis Risk ◽  
Bivariate Linkage Analysis ◽  
Genome Wide Scan

SummaryThrombosis and obesity are complex epidemiologically associated diseases. The mechanism of this association is not yet understood. It was the objective of this study to identify genetic components of body mass index (BMI) and their possible role in the risk of thromboembolic disease. With the self-reported BMI of 397 individuals from 21 extended families enrolled in the GAIT (Genetic Analysis of Idiopathic Thrombophilia) Project, we estimated the heritability of BMI and the genetic correlation with the risk of thrombosis. Subjects were genotyped for an autosomal genome-wide scan with 363 highly-informative DNA markers. Univariate and bivariate multipoint linkage analyses were performed. The heritability for BMI was 0.31 (p= 2.9×10–5). Thromboembolic disease (including venous and arterial) and BMI had a significant genetic correlation (ρG= 0.54, p= 0.005). Two linkage signals for BMI were obtained, one at 13q34 (LOD= 3.36, p= 0.0004) and other at 2q34, highly suggestive of linkage (LOD= 1.95). Bivariate linkage analysis with BMI and thrombosis risk also showed a significant signal at 13q34 (LOD= 3), indicating that this locus influences at the same time normal variation in the BMI phenotype as well as susceptibility to thrombosis. In conclusion, BMI and thrombosis are genetically correlated. The locus 13q34, which showed pleiotropy with both phenotypes, contains two candidate genes, which may explain our linkage pleiotropic signal and deserve further investigation as possible risk factors for obesity and thrombosis.

scholarly journals Further Evidence for a QTL Influencing Body Mass Index on Chromosome 7p from a Genome-wide Scan in Dutch Families

Twin Research ◽  
2004 ◽  
Vol 7 (2) ◽  
pp. 192-196 ◽  
Author(s):  
Bastiaan T. Heijmans ◽  
A. Leo Beem ◽  
Gonneke Willemsen ◽  
Daniëlle Posthuma ◽  
P. Eline Slagboom ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Genome Wide ◽  
A Genome ◽  
Genome Wide Scan

scholarly journals A Genome-Wide Scan for Body Mass Index among Nigerian Families

2003 ◽  
Vol 11 (2) ◽  
pp. 266-273 ◽  
Author(s):  
Adebowale Adeyemo ◽  
Amy Luke ◽  
Richard Cooper ◽  
Xiaodong Wu ◽  
Bamidele Tayo ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Genome Wide ◽  
A Genome ◽  
Genome Wide Scan

scholarly journals Lifestyle Changes and Body Mass Index during COVID-19 Pandemic Lockdown: An Italian Online-Survey

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1117
Author(s):  
Silvia Maffoni ◽  
Silvia Brazzo ◽  
Rachele De Giuseppe ◽  
Ginevra Biino ◽  
Ilaria Vietti ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Online Survey ◽  
Negative Impact ◽  
Phase 1 ◽  
Adult Population ◽  
Lifestyle Changes ◽  
Eating Behaviours ◽  
Public Health Services ◽  
Activity Frequency

Background. COVID-19 pandemic has imposed a period of contingency measures, including total or partial lockdowns all over the world leading to several changes in lifestyle/eating behaviours. This retrospective cohort study aimed at investigating Italian adult population lifestyle changes during COVID-19 pandemic “Phase 1” lockdown (8 March–4 May 2020) and discriminate between positive and negative changes and BMI (body mass index) variations (ΔBMI). Methods. A multiple-choice web-form survey was used to collect retrospective data regarding lifestyle/eating behaviours during “Phase 1” in the Italian adult population. According to changes in lifestyle/eating behaviours, the sample was divided into three classes of changes: “negative change”, “no change”, “positive change”. For each class, correlations with ΔBMI were investigated. Results. Data were collected from 1304 subjects (973F/331M). Mean ΔBMI differed significantly (p < 0.001) between classes, and was significantly related to water intake, alcohol consumption, physical activity, frequency of “craving or snacking between meals”, dessert/sweets consumption at lunch. Conclusions. During “Phase 1”, many people faced several negative changes in lifestyle/eating behaviours with potential negative impact on health. These findings highlight that pandemic exacerbates nutritional issues and most efforts need to be done to provide nutrition counselling and public health services to support general population needs.

scholarly journals Associations between Apolipoprotein E Genotype, Diet, Body Mass Index, and Serum Lipids in Lithuanian Adult Population

PLoS ONE ◽  
2012 ◽  
Vol 7 (7) ◽  
pp. e41525 ◽  
Author(s):  
Janina Petkeviciene ◽  
Alina Smalinskiene ◽  
Dalia Ieva Luksiene ◽  
Kristina Jureniene ◽  
Vitalija Ramazauskiene ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Apolipoprotein E ◽  
Body Mass ◽  
Serum Lipids ◽  
Adult Population ◽  
Apolipoprotein E Genotype

scholarly journals The Future Excess Fraction of Cancer Attributable to High Body Mass Index in Australia

2018 ◽  
Vol 4 (Supplement 2) ◽  
pp. 194s-194s ◽  
Author(s):  
R. Carey ◽  
R. Norman ◽  
D. Whiteman ◽  
A. Reid ◽  
R. Neale ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Adult Population ◽  
Significant Proportion ◽  
High Body Mass Index ◽  
Overweight And Obesity ◽  
High Body ◽  
Increased Risk ◽  
The Future ◽  
Future Burden

Background: High body mass index (BMI > 25 kg/m2) has been found to be associated with an increased risk of many cancers, including cancers of the colon and rectum, liver, and pancreas. Aim: This study aimed to estimate the future burden of cancer resulting from current levels of overweight and obesity in Australia. Methods: The future excess fraction method was used to estimate the future burden of cancer among the proportion of the Australian adult population who were overweight or obese in 2016. Calculations were conducted for 13 cancer types, including cancers of the colon, rectum, kidney, and liver. Results: The cohort of 18.7 million adult Australians in 2016 will develop ∼7.6 million cancers over their lifetime. Of these, ∼402,500 cancers (5.3%) will be attributable to current levels of overweight and obese. The majority of these will be postmenopausal breast cancers (n = 72,300), kidney cancers (n = 59,200), and colon cancers (n = 55,100). More than a quarter of future endometrial cancers (30.3%) and esophageal adenocarcinomas (35.8%) will be attributable to high body mass index. Conclusion: A significant proportion of future cancers will result from current levels of high body mass index. Our estimates are not directly comparable to past estimates of the burden from overweight and obesity because they describe different quantities - future cancers in currently exposed vs current cancers due to past exposures. The results of this study provide us with relevant up-to-date information about how many cancers in Australia could be prevented.

scholarly journals Prevalence of Obesity and Metabolic Syndrome in Adult Population of Selected Regions of the Czech Republic. Relation to Eating Habits and Smoking

2012 ◽  
Vol 113 (3) ◽  
pp. 206-216 ◽  
Author(s):  
Michala Vosátková ◽  
J. Čeřovská ◽  
H. Zamrazilová ◽  
P. Hoskovcová ◽  
M. Dvořáková ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Czech Republic ◽  
Body Mass ◽  
Eating Habits ◽  
Adult Population ◽  
Total Sample ◽  
Female Group ◽  
The Czech Republic ◽  
The Metabolic Syndrome

Prevalence of the metabolic syndrome is around 25% in Europe but its occurrence grows in both genders with increasing age and weight. Lifestyle factors may contribute to the risk of developing metabolic syndrome. The objective of this study was to determine the relationship between metabolic syndrome and eating habits as well as length of sleep and smoking. Participants (519 women and 286 men aged 18–65 years) were chosen by random selection and questioned about their eating habits, sleep length and smoking. This information was combined with anthropometric and clinical parameters of metabolic syndrome. The female group was divided into two subgroups depending on climacteric stage (before and after menopause). Metabolic syndrome prevalence does not differ between regions in neither female (29.9%) nor male (32.5%) group. Body mass index ≥25 was detected in 50.4% of all women and 65.7% of men; 23.5% of all women and 21.7% men had body mass index ≥30. In conclusion, metabolic syndrome prevalence was proved to depend on eating habits and family heredity. Positive correlation between the above mentioned factors demonstrated itself in the total sample but not in individual regions. Metabolic syndrome prevalence in Czech adults is comparable with neighbouring countries. No significant interregional differences in metabolic syndrome prevalence within the Czech Republic were detected. In conclusion, relationship between eating habits and metabolic syndrome was confirmed.

scholarly journals Is the Gene-Environment Interaction Paradigm Relevant to Genome-Wide Studies? The Case of Education and Body Mass Index

Demography ◽  
2013 ◽  
Vol 51 (1) ◽  
pp. 119-139 ◽  
Author(s):  
Jason D. Boardman ◽  
Benjamin W. Domingue ◽  
Casey L. Blalock ◽  
Brett C. Haberstick ◽  
Kathleen Mullan Harris ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Environment Interaction ◽  
Gene Environment Interaction ◽  
Gene Environment ◽  
Genome Wide

Increasing Body Mass Index Predicts Rapid Decline in Renal Function: A 5 Year Retrospective Study

2018 ◽  
Vol 50 (07) ◽  
pp. 556-561 ◽  
Author(s):  
Xiaojing Ma ◽  
Chengyin Zhang ◽  
Hong Su ◽  
Xiaojie Gong ◽  
Xianglei Kong
Keyword(s):  
Body Mass Index ◽  
Chronic Kidney Disease ◽  
Renal Function ◽  
Retrospective Study ◽  
Kidney Disease ◽  
Body Mass ◽  
Adult Population ◽  
Rapid Decline ◽  
Logistic Regression Models ◽  
Baseline Bmi

AbstractWhile obesity is a recognized risk factor for chronic kidney disease, it remains unclear whether change in body mass index (ΔBMI ) is independently associated with decline in renal function (evaluated by the change in estimated glomerular filtration rate, ΔeGFR) over time. Accordingly, to help clarify this we conducted a retrospective study to measure the association of ΔBMI with decline in renal function in Chinese adult population. A total of 4007 adults (aged 45.3±13.7 years, 68.6% male) without chronic kidney disease at baseline were enrolled between 2008 and 2013. Logistic regression models were applied to explore the relationships between baseline BMI and ΔBMI, and rapid decline in renal function (defined as the lowest quartile of ΔeGFR ). During 5 years of follow-up, the ΔBMI and ΔeGFR were 0.47±1.6 (kg/m2) and –3.0±8.8 (ml/min/1.73 m2), respectively. After adjusted for potential confounders, ΔBMI (per 1 kg/m2 increase) was independently associated with the rapid decline in renal function [with a fully adjusted OR of 1.12 (95% CI, 1.05 to 1.20). By contrast, the baseline BMI was not associated with rapid decline in renal function [OR=1.05 (95% CI, 0.98 to 1.13)]. The results were robust among 2948 hypertension-free and diabetes-free participants, the adjusted ORs of ΔBMI and baseline BMI were 1.14 (95% CI, 1.05 to 1.23) and 1.0 (95% CI, 0.96 to 1.04) for rapid decline in renal function, respectively. The study revealed that increasing ΔBMI predicts rapid decline in renal function.

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