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Quebec family study obesity: The Challenge of Stratifying Obesity: Attempts in the Quebec Family Study

Choquette, A. A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder.

Matthew Cox
Saturday, March 27, 2021
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  • Although many genetic variants have been repeatedly associated with obesity, such as those located within FTO or MC4R genes Frayling et al.

  • Finally, results from the linear mixed model were used to calculate the proportion of BMI variance explained by PRS within each sample.

  • In: Bray G, Ryan D, editors. Federal Government.

  • Full size image.

Background

This cohort thus quebec family study obesity a mixture of random sampling and ascertainment through obese individuals. Reallocating time quebc sleep, sedentary behaviors, or active behaviors: associations with cardiovascular disease risk biomarkers, NHANES — The study has significantly contributed to our understanding of the determinants of obesity and associated disease risk over the past 35 years.

There are several strengths and limitations of this study that warrant discussion. Li, Y. Zur bestimmung der plasmaglukose-konzentration mit der hexokinase-glucosephosphat-deshydrogenase-methode. Generalized linear mixed effects models were used to test the association of PRS with obesity in the QFS discovery sample and validated in the QFS replication sample.

Information from the National Library of Medicine To learn obexity about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor. In addition to any direct metabolic impact, standing may also be associated with reduced weight fxmily by slightly but consistently increasing energy expenditure, as suggested by the results of Buckley et al. Loos, R. R package version 4. Hmisc package was used to evaluated the performance of classification models Harrell, Among others, an obesity background during childhood and a familial history of obesity remain as the lead traditional risk factors of obesity Loos and Janssens, However, although the size of the discovery sample is more critical than that of target samples in a polygenic score analysis Dudbridge,we acknowledge that this study lacks of sufficient statistical power to address clinical questions in a confident manner and that a number of reported associations may be spurious.

ORIGINAL RESEARCH article

A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder. Science— Polygenic prediction of weight and obesity trajectories from birth to adulthood. Actual Study Start Date :.

Harrell, F. Since obesity has a strong genetic component, qubec aimed to develop a polygenic risk score PRS to stratify obesity according to the genetic background of the individuals. Furthermore, data were obtained from both men and women and we used an approach that should minimize confounding with repeated measures baseline and year 6. Leave a reply Cancel reply Your email address will not be published. There are a number of biological mechanisms through which greater time spent standing may lead to a reduced risk of chronic diseases. Das, S.

A 2-tailed P value of less than 0. Recruitment was conducted irrespective of body weight during phase 1, study obesity in a cohort with a wide range of body mass index levels. Celis-Morales, C. Cross-sectional data from QFS participants were used in the present study. In QFS, no association was found between this mutation and body mass index BMIbody fat including abdominal visceral fat, resting metabolic rate, various diabetes and cardiovascular risk factors, and changes in body weight and body fat over a yr period. Correspondence to Jean-Philippe Chaput. This procedure allowed us to model standing time and covariates as repeated measures at two time points baseline and 6 years laterthus taking into account both measures over time.

Grontved A, Hu FB. In particular, the QFS cohort was used to investigate the contribution of familial resemblance and genetic effects on body fatness and behaviors related to energy balance. Abstract The beta adrenergic ibesity plays a key role in regulating energy balance through the stimulation of both thermogenesis and lipid mobilization in brown and white adipose tissues in human and various animal models. In conclusion, in the present study, a generalized linear mixed model was fit in order to stratify obesity prevalence by means of a polygenic score. The cohort is a mixture of random sampling and ascertainment through obese individuals. Plasma glucose levels in a fasting state and during an oral glucose tolerance test.

Publication types

Further studies are encouraged on larger populations. Contact us Submission enquiries: bmcpublichealth biomedcentral. Body mass index BMI stdy quebec family study obesity widely used as a reference indicator to characterize the different degrees of obesity Seidell and Flegal, Future efforts are needed to better understand the potential benefits of higher amounts of standing time throughout the day on the prevention of chronic diseases.

Similarly, Thorp et al. Cell— The role qufbec eating behavior traits in mediating genetic susceptibility to obesity. Baseline characteristics of participants by standing time category were compared by analysis of variance continuous variables or chi-squared test categorical variables. The results from two models are presented: i adjusted for age and sex and ii additionally adjusted for smoking habits, total annual family income, daily caloric intake, and submaximal working capacity. Figure 1 Distribution of body mass index and polygenic risk score PRS Figure 5 Polygenic risk score PRS had a significant impact on body mass index.

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At both baseline and year 6, height was measured to the nearest 0. However, the quebec family study became non-significant after adjustment for covariates, especially total annual family income and submaximal working capacity data not shown. Given that standing represents a simple solution to reduce extended periods of sitting, it is of interest to understand the association between standing and cardiometabolic health. Figure 3 Polygenic risk score PRS significantly increased the ability to stratify obesity. One of the easiest ways to interrupt prolonged sitting is to stand up. The results from two models are presented: i adjusted for age and sex and ii additionally adjusted for smoking habits, total annual family income, daily caloric intake, and submaximal working capacity.

Famoly the heterogeneous obesity phenotype, an optimal obesity stratification would improve clinical management. Genome-wide association studies suggest sex-specific loci associated with abdominal and visceral fat. R: a language and environment for statistical computing. The QFS, a study designed to investigate the genetic and environmental factors of obesity, was used to construct and test the PRS. Bioinformatics 26, — Support Center Support Center. These results show that excess body weight or weight gain results from a number of obesogenic behaviors that have received considerable attention over the past decade.

ORIGINAL RESEARCH article

Talk with your doctor and family members or friends about deciding to join a study. Nutr Res. A 2-tailed P value of less than 0.

Findings from the Quebec family study on the etiology of obesity: genetics and environmental highlights. Do, R. J Appl Physiol. JCI Insight 3, e Cite this article Chaput, JP.

  • Replication studies with longer follow-up periods and larger sample sizes are needed to better understand the potential benefits of higher amounts of standing time throughout the day on the prevention of chronic diseases.

  • A fast method that uses polygenic scores to estimate the variance explained by genome-wide marker panels and the proportion of variants affecting a trait.

  • Results Baseline characteristics of participants within each standing time group are shown in Table 1.

  • References Ashwell M.

Cross-sectional data from QFS participants were used in the present study. Nature— GWAF: an R package quebec family study obesity genome-wide association analyses with family data. Study record managers: refer to the Data Element Definitions if submitting registration or results information. Speliotes, E. Choquette, A. Interaction between common genetic variants and total fat intake on low-density lipoprotein peak particle diameter: a genome-wide association study.

Obesity prediction of weight and obesity trajectories from birth to adulthood. A significance level of 0. To determine if men and women could be combined, sex-by-standing time interactions were assessed for all dependent variables. GWAF: an R package for genome-wide association analyses with family data.

Furthermore, PRS was categorized into quintiles to examine its association with the prevalence of obesity. Findings from the Quebec family study on the etiology of obesity: genetics and environmental highlights. Long-term weight-loss in gastric bypass patients carrying melanocortin 4 receptor variants. Acknowledgements We express our gratitude to the subjects for their participation in the Quebec Family Study and the staff of the Physical Activity Sciences Laboratory at Laval University for their contribution to this study. Google Scholar

Satiety mechanisms in genetic risk of obesity. Chaput, JP. Submaximal power output in adopted and biological siblings. JAMA Go to Top Abstract Version history.

Predicted probabilities of obesity between 0 and 1 are related to fixed effects and conditioned on random effect. Plasma insulin levels in a fasting state and following an oral glucose tolerance test. In this regard, the Quebec Family Study QFS has focused on traditional and nontraditional risk factors of obesity, adiposity, or body fat distribution and their genetic determinants Chaput et al. Finally, results from the linear mixed model were used to calculate the proportion of BMI variance explained by PRS within each sample.

Obesify are several strengths and limitations of this study that warrant discussion. American Diabetes Association. In comparison to a day of prolonged sitting, Latouche et al. Generalized linear mixed effects models were used to test the association of PRS with obesity in the QFS discovery sample and validated in the QFS replication sample.

Family relatedness was included as random effect. All statistical procedures were carried out in R version 3. Dudbridge, F. Wray, N. Hum Genet.

Obesity is a metabolic condition characterized by a large heterogeneity. Palla, L. Breaking up prolonged sitting reduces postprandial glucose and insulin responses. Do, R.

Body mass index BMI has been widely used as a reference indicator to characterize the different degrees of obesity Seidell and Flegal, Findings from the Quebec family study obesity family study on the etiology of obesity: genetics and environmental highlights. Nevertheless, although the evidence of association observed in the QFS discovery sample between PRS and obesity prevalence was supported by significant results in the QFS validation sample, these results were only partially replicated in the independent FAS study. Nutrigenomics 844— No significant differences in age or height were found between participants with and without obesity among all samples Table 1. A linear mixed model with flexible covariance structure to account for family relatedness was fit to test the association between PRS and BMI. Furthermore, the association of PRS with obesity was evaluated by means of generalized linear binomial with logit link function and linear mixed models with flexible covariance structure to account for family relatedness Ziyatdinov et al.

Similarly, other studies have reported a significant impact of satiety mechanisms Llewellyn et al. Association of sedentary behaviour with metabolic syndrome: a meta-analysis. Rouskas, K. Walter, S. All authors read and approved the final manuscript.

  • Plasma glucose levels in a fasting state and during an oral glucose tolerance test.

  • Am J Clin Nutr. The use, quebec family study obesity or reproduction in other forums is permitted, provided the original author s and the copyright owner s are credited and that the original publication in this journal is cited, in accordance with accepted academic practice.

  • P values were obtained by means of generalized linear mixed obesity binomial with logit link function models including age, sex, and PRS quintiles as fixed effects and family relatedness as random effect, with flexible covariance structure to account for family relatedness. Edited by: Steven H.

  • Replication studies with longer follow-up periods and larger sample sizes are needed to better understand the potential benefits of higher amounts of standing time throughout the day on the prevention of chronic diseases.

  • External link.

Contacts and Locations. Figure 1 Distribution of body mass index and polygenic risk score PRS Peterson, Study obesity. Genetic studies of body mass index yield new insights for obesity biology. B Density distribution of polygenic risk score PRS values across all participants with and without obesity in the three study samples.

MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes. The role of eating behavior traits in mediating genetic susceptibility to obesity. Study record managers: refer to the Data Element Definitions if submitting registration or results information. Edited by: Steven H. Genome-wide association of single-nucleotide polymorphisms with weight loss outcomes after roux-en-y gastric bypass surgery. The aim of this study was to determine the independent contribution of previously reported risk factors for adult overweight and obesity.

Associated Data

Speliotes, E. Chair in Genetics and Nutrition. This cohort quebec family study obesity represents a mixture of random sampling and ascertainment through obese individuals. GWAF: an R package for genome-wide association analyses with family data. The cohort is a mixture of random sampling and ascertainment through obese individuals.

Hmisc package quebec family study obesity used to evaluated the performance of classification models Harrell, JAMA Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Polygenic risk score for predicting weight loss after bariatric surgery.

However, the associations became non-significant after adjustment for covariates, especially total annual family income and submaximal working capacity data not shown. Amount of time spent in sedentary behaviors in the United States, — PLoS One 9, e Walter, S.

Publication types

Table 1 Clinical characteristics of subjects. Genome-wide association study of the plasma triglyceride response to an n-3 polyunsaturated fatty acid supplementation. Further studies are encouraged on larger samples with more comprehensive genetic scores. Hung, C. Pitfalls of predicting complex traits from SNPs.

Download references. Since obesity has a strong genetic component, we aimed to develop a polygenic risk score PRS to stratify obesity according to the genetic background of the individuals. November 28, Key Record Dates. Seidell, J.

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Among behaviors at the low end of the energy expenditure continuum, standing has not received much attention in its ability to tamily the development of adverse health outcomes. Pitfalls of predicting complex traits from SNPs. Rouskas, K. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Eligibility Criteria. Alternating bouts of sitting and standing attenuates postprandial glucose responses. Chang, C.

Science— Interaction between common genetic variants quwbec total fat intake on low-density lipoprotein peak particle diameter: quebec family study obesity genome-wide association study. Diabetes 57, — These results should be then taken with caution, as the ability of this polygenic score in classifying obesity status is not accurate enough at the individual patient level. Peterson, R.

Quebec family study obesity types Research Support, Non-U. Finally, results from the linear mixed model were used to calculate the proportion of BMI variance explained by PRS within each sample. Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies. Obesity: new insight into the anthropometric classification of fat distribution shown by computed tomography.

Obesitu glucose levels in a fasting state and following an oral glucose tolerance test, inflammatory markers. Assessing obesity: classification and epidemiology. In comparison to a day of prolonged sitting, Latouche et al. Cumulative effects and predictive value of common obesity-susceptibility variants identified by genome-wide association studies. Curr Obes Rep. Find articles by Roy, S.

Front Genet. The replication sample comprised subjects from the Fatty Acid Sensor FAS Fakily, in which subjects from the Quebec City metropolitan area quebec family study obesity originally recruited to identify determinants of the plasma triglyceride response to an n-3 fatty acid supplementation registered at ClinicalTrials. The final model included age, sex and polygenic risk score PRS as fixed effects, and family relatedness as random effect. An additive model of inheritance was used to test genetic associations. Single-SNP association analyses with obesity were performed using a generalized linear mixed effects model integrating family data Chen and Yang, A significance level of 0.

No significant differences quebec family study obesity age or height were found between participants with and without obesity among all samples Table 1. Using the predicted probability of obesity from generalized linear mixed models, the association of PRS with obesity was tested as the area under a receiver operating characteristic curve AUC ROC. Pitfalls of predicting complex traits from SNPs. Cell Metab. Family relatedness was included as random effect in the form of a kinship matrix.

  • The cohort is a mixture of random sampling and ascertainment through obese individuals.

  • Generalized linear mixed effects models were used to test the association of PRS with obesity in the QFS discovery sample and validated in the QFS replication sample.

  • However, the obesity became non-significant after adjustment for covariates, especially total annual family income and submaximal working capacity data not shown. During the third cycle Phase 3:subjects from phase 1 were tested a third time, subjects from phase 2 were tested a second time and new subjects from 44 families were recruited.

  • PRS explained 7.

  • However, the associations were no longer significant after adjusting for covariates age, sex, smoking habits, total annual family income, daily caloric intake, and submaximal working capacity data not shown. For general information, Learn About Clinical Studies.

Again, results showed that obesity prevalence was significantly higher among upper Quebec family study quintiles, as compared to the lowest quintile, in the QFS discovery sample Figure 4. Furthermore, PRS was categorized into quintiles to examine its association with the prevalence of obesity. These included age, sex, smoking habits smoker or nonsmokerand total annual family income Canadian dollars per year. Combined analyses of 20 common obesity susceptibility variants. Keywords: polygenic risk score, obesity, genetics, genome-wide association study, body mass index.

JAMA These results should be then taken with caution, as study obesity ability of this polygenic score in classifying obesity status fmily not accurate enough at the individual patient level. Cell Metab. Polygenic risk score for predicting weight loss after bariatric surgery. The QFS cohort involves participants from French-Canadian families from Quebec City, making up a largely homogeneous ancestry population. Pitfalls of predicting complex traits from SNPs.

BMJquebec family study obesity Figure 2 Polygenic risk score PRS was significantly associated with obesity. Genome-wide association of single-nucleotide polymorphisms with weight loss outcomes after roux-en-y gastric bypass surgery. Warning You have reached the maximum number of saved studies The sum of weighed alleles resulted in a continuous score Figure 1whose ability to stratify obesity was subsequently tested.

Additional Information: PubMed citation. Association between olfactory receptor genes, eating behavior traits and adiposity: results from the Quebec Family Study. Family relatedness was handled by using generalized linear mixed models, a statistical method successfully applied in the past when testing genetic associations in samples with family or cryptic relatedness among individuals Choquette et al. Figure 2 Polygenic risk score PRS was significantly associated with obesity. Finally, results from the linear mixed model were used to calculate the proportion of BMI variance explained by PRS within each sample.

The role of quebec family study obesity behavior traits in mediating genetic susceptibility to obesity. Assessing obesity: classification and epidemiology. Loos, R. Generalized linear mixed effects models were used to test the association of PRS with obesity in the QFS discovery sample and validated in the QFS replication sample. Again, results showed that obesity prevalence was significantly higher among upper PRS quintiles, as compared to the lowest quintile, in the QFS discovery sample Figure 4.

Effects of breaking up prolonged sitting on skeletal muscle gene expression. Figure 3 Polygenic risk score PRS significantly increased the ability to stratify obesity. Body mass index BMI has been widely used as a reference indicator to characterize the different degrees of obesity Seidell and Flegal, Interestingly, a recent study reported that greater time spent standing was associated with a lower risk of mortality in adults [ 19 ].

Search all BMC articles Search. Hmisc: Harrell Miscellaneous. Schweiz Med Wochenschr. Although many genetic variants have been repeatedly associated with obesity, such as those located within FTO or MC4R genes Frayling et al.

Contact us Submission enquiries: bmcpublichealth biomedcentral. These intervention obesity are supported by ztudy recent paper of Katzmarzyk, who found that time spent standing was inversely associated with mortality risk [ 19 ]. Actual Primary Completion Date :. Email the journal. Families were all of French descent and were living for the most part within 80 km of Quebec City Canada. Genetic risk sum score comprised of common polygenic variation is associated with body mass index. From the selected SNPs, 96 were previously genotyped in the QFS sample using the Illumina Quad chip containingmarkers, as described in detail elsewhere Sung et al.

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Significant familial aggregation and genetic heritability were reported for total adiposity, fat-free mass, subcutaneous fat distribution, abdominal and visceral fat, resting metabolic rate, physical activity level and other behavioral traits. Nutr Res. Do, R. M-CV and FG conceived and designed the research. Gigascience 4, 7. Findings from the Quebec family study on the etiology of obesity: genetics and environmental highlights. In conclusion, in the present study, a generalized linear mixed model was fit in order to stratify obesity prevalence by means of a polygenic score.

Accordingly, quebec family study obesity study focused on the contribution of polygenic risk to obesity reported different effects of the genetic score on BMI across different ethnics and birth cohorts Walter et al. Family relatedness was included as random effect. Bioinformatics 26, — Herein, the cumulative effect of SNPs resulted in a difference of more than 6.

Main results revealed that genetic background in the form of a BMI-associated PRS has a cumulative impact on obesity, but a limited potential to accurately stratify it. Rudkowska, I. Figure 1 Distribution of body mass index and polygenic risk score PRS Save this study.

Quebec family study obesity Resources. Herein, the cumulative effect of SNPs resulted in a difference of more than 6. Future research in the stkdy is expected to boost the accuracy and reliability of PRSs in anticipating the onset of metabolic diseases, such as obesity, leading to an early management of such disorders Khera et al. Figure 1 Distribution of body mass index and polygenic risk score PRS

BMJ— Nature— Fourth, the external generalizability of our findings may be restricted to adults of Western European descent. PLoS Genet. Standing and mortality in a prospective cohort of Canadian adults.

The cumulative genetic effect of previously identified Studt SNPs on obesity prevalence in the form of a polygenic score quebec family study obesity evaluated in the present study. P values were obtained by means of generalized linear mixed models binomial with logit link function models including age, sex, and PRS quintiles as fixed effects and family relatedness as random effect, with flexible covariance structure to account for family relatedness. Finally, results from the linear mixed model were used to calculate the proportion of BMI variance explained by PRS within each sample. Actual Study Completion Date :. The QFS, a study designed to investigate the genetic and environmental factors of obesity, was used to construct and test the PRS.

These results should be then quebec family study obesity with caution, as the queebc of this polygenic score in classifying obesity status is not accurate enough at the individual patient level. Figure 2. In an effort to overcome this limitation, the use of a combination of obesity-associated SNPs has become a promising strategy. Family-based associations with obesity were tested for every SNP in the discovery sample and a weighed and continuous PRS was constructed.

Science— Actual Study Start Famliy :. From the selected SNPs, 96 were previously genotyped in the QFS sample using the Illumina Quad chip containingmarkers, as described in detail elsewhere Sung et al. No use, distribution or reproduction is permitted which does not comply with these terms. Seidell, J.

Lean, M. Find articles by Dionne, F. Curr Obes Rep. Eating behaviour assessed using the Three-Factor Eating questionnaire.

Search for terms x. November 28, Key Record Dates. During the third cycle Phase 3:subjects from phase 1 were tested a third time, subjects from phase 2 were tested a second time and new subjects from 44 families were recruited. PLoS Genet. A linear mixed model with flexible covariance structure to account for family relatedness was fit to test the association between PRS and BMI.

Different approaches fami,y been explored to stratify obesity based on BMI classification Li et al. The full generalized linear mixed model included obesity as a binary outcome and sex, age, and PRS as fixed effects. Diabetes 59, — Trial details and participant selection criteria are extensively described in Rudkowska et al. Family relatedness was handled by using generalized linear mixed models, a statistical method successfully applied in the past when testing genetic associations in samples with family or cryptic relatedness among individuals Choquette et al. Genetic risk sum score comprised of common polygenic variation is associated with body mass index. Table 1 Clinical characteristics of subjects.

In particular, the QFS cohort was used to quebec family study obesity the fajily of familial resemblance and genetic effects on body fatness and behaviors related to energy balance. Llewellyn, C. TV viewing, but not total sedentary behaviour, is associated with adverse cardiometabolic biomarkers in adolescents. Ziyatdinov, A. Replication studies with longer follow-up periods and larger sample sizes are needed to better understand the potential benefits of higher amounts of standing time throughout the day on the prevention of chronic diseases. Recruitment was conducted irrespective of body weight during phase 1, resulting in a cohort with a wide range of body mass index levels.

Pitfalls of predicting complex traits from SNPs. Common variants near MC4R are associated with fat mass, weight and risk of obesity. Fourth, the external generalizability of our findings may be restricted to adults of Western European descent.

Find articles by Dionne, F. Ziyatdinov, A. There is a growing quebec family study obesity of evidence to suggest that light-intensity physical activity e. The present study should thus be seen as an exploratory analysis which needs to be replicated in larger cohorts. PLoS One.

Evid Based Nurs. Polygenic prediction of weight and obesity trajectories from birth to adulthood. An additive model of inheritance was used to test genetic associations. Please refer to this study by its ClinicalTrials. References 1. However, it is unknown whether workplace standing time is prospectively related to a lower incidence of chronic diseases. Recent intervention studies suggest that replacing sitting with standing may result in rapid and positive changes in important health markers [ 202133 ].

Cell— Diabetes 59, — Furthermore, the association of PRS with obesity was evaluated by means of generalized linear binomial with logit link function and linear mixed models with flexible covariance structure to account for family relatedness Ziyatdinov et al. Long-term weight-loss in gastric bypass patients carrying melanocortin 4 receptor variants. Secondary Outcome Measures : Caloric intake [ Time Frame: Through study completion, an average of 24 years ] Total caloric intake and macronutrient intake using a 3-day dietary record.

  • Table 1 Clinical characteristics of subjects. BMJ Open.

  • Altogether, these results highlight the relevance of accurately identifying all the factors involved in obesity development and body weight management, as well as their interaction with the genetic background, for a better disease stratification.

  • The results from two models are presented: i adjusted for age and sex quebec family study obesity ii additionally adjusted for smoking habits, total annual family income, daily caloric intake, and submaximal working capacity. A number of studies have already tested the ability to stratify obesity based on a cumulative number of BMI-associated SNPs combined into a single parameter, commonly called polygenic risk score PRS Li et al.

  • Li, Y. Pencina, M.

Numerous variables were measured via self-reported questionnaires at baseline and year 6. All statistical procedures were carried out in R version 3. Curr Obes Rep. The role of eating behavior traits in mediating genetic susceptibility to obesity. Association of sedentary behaviour with metabolic syndrome: a meta-analysis.

  • Your email address will not be published. An additive model of inheritance was used to test genetic associations.

  • Polygenic prediction of weight and obesity trajectories from birth to adulthood. No significant differences in age or height were found between participants with and without obesity among all samples Table 1.

  • Your email address will not be published.

  • A fast method that uses polygenic scores to estimate the variance explained by genome-wide marker panels and the proportion of variants affecting a trait.

Results Baseline characteristics of participants within each standing time group are shown in Table 1. Plasma insulin levels in a fasting state and following an oral glucose tolerance test. Abstract Background It is increasingly recognized that standing represents a simple solution to extended periods of sitting. National Institutes of Health U. In Phase 1 of the study, subjects were randomly selected from French-Canadian families living in the Quebec city area, In Phases 2 and 3 of the study, families with a least one obese parent and one obese offspring were recruited. About this article. A significance level of 0.

Obesity bars at the bottom of plots represent the distribution of PRS across subjects without obesity. Scatter plots showing fitted linear mixed models including age, sex, and polygenic risk score PRS as fixed effects and family relatedness as random effect, with flexible covariance structure to account for family relatedness. Llewellyn, C. A fast method that uses polygenic scores to estimate the variance explained by genome-wide marker panels and the proportion of variants affecting a trait. Science— Substances Calcium, Dietary Dietary Fats. In this regard, the use of larger numbers of GWAS markers, combined with adequate sample sizes, represent a promising strategy when approaching the development of genetic tools focused on disease stratification Wray et al.

A common variant in the FTO gene is associated with body mass index and predisposes to childhood quebec family study obesity adult obesity. Harrell, F. Obesity is phenotypically and genetically highly complex Ghosh and Bouchard, and, in spite of the growing evidence linking genetics to obesity, the use of genetic information to correctly classify obesity has led to heterogeneous results. PLoS One 9e Hung, C.

  • Introduction Obesity is a metabolic condition characterized by a large heterogeneity. It is increasingly recognized that standing represents a simple solution to extended periods of sitting.

  • Deepen on these factors and on their relationship with each other will help on the accurate identification of obesity-prone individuals, who may benefit more from precision nutrition or lifestyle interventions. Nevertheless, although the evidence of association observed in the QFS discovery sample between PRS and obesity prevalence was supported by significant results in the QFS validation sample, these results were only partially replicated in the independent FAS study.

  • Plasma glucose levels in a fasting state and following an oral glucose tolerance test, inflammatory markers.

  • After the inclusion of PRS into the model, a significant improvement in the correct classification of individuals with obesity was found in the QFS discovery sample for both NRI 0.

Actual Study Start Date :. In the age- and sex-adjusted analyses, there were significant negative linear trends across levels of standing time and the outcome variables. B Density distribution of polygenic risk score PRS values across all participants with and without obesity in the three study samples. These 6 covariates were chosen because of their association with the exposure and outcomes and on the basis of previous research [ 121719 ]. Interaction between common genetic variants and total fat intake on low-density lipoprotein peak particle diameter: a genome-wide association study. Katzmarzyk PT.

Hung, C. Diabetes 59— By using this approach, obesity stratification results from a quebec family study obesity of SNPs, which offers a more integrated view of the genetic basis of obesity. Polygenic prediction of weight and obesity trajectories from birth to adulthood. Participants of both studies provided written informed consent. Ghosh, S. The statistical power to detect significant associations between the polygenic score and obesity prevalence was 0.

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