scholarly journals Polymorphisms in Adipokines in Mexican Children with Obesity

2019 ◽  
Vol 2019 ◽  
pp. 1-5 ◽  
Author(s):  
Angélica Saraí Jiménez-Osorio ◽  
Alma Olivia Aguilar-Lucio ◽  
Helios Cárdenas-Hernández ◽  
Claudette Musalem-Younes ◽  
Jacqueline Solares-Tlapechco ◽  
...  
Keyword(s):  
Childhood Obesity ◽  
Association Studies ◽  
Health Science ◽  
Genome Wide Association Studies ◽  
Science Field ◽  
Mexican Mestizo ◽  
Mexican Children ◽  
Genome Wide ◽  
High Prevalence ◽  
Control Study

The high prevalence of childhood obesity in Mexico is alarming in the health-science field. We propose to investigate the contribution of adipokines and cytokines polymorphisms and common BMI/obesity-associated loci, revealed in genome-wide association studies in Caucasian adult cohorts, with childhood obesity. This study included 773 Mexican-Mestizo children (5-15 years old) in a case-control study. The polymorphisms included were ADIPOQ (rs6444174), TNF-α (rs1800750), IL-1β (rs1143643), IL-6 (rs1524107; rs2069845), NEGR1 (rs34305371), SEC16B-RASAL2 (rs10913469), TMEM18 (rs6548238; rs7561317), GNPDA2 (rs16857402), LEP (rs2167270), MTCH2 (rs10838738), LGR4-LIN7C-BDNF (rs925946), BCDIN3D-FAIM2 (rs7138803), FTO (rs62033400), MC4R (rs11872992), MC4R (rs17782313), and KCTD15 (rs29942). No significant contribution was found with adipokines and cytokines polymorphisms in this study. Only both TMEM18 (rs6548238; rs7561317) polymorphisms were found associated with obesity (OR=0.5, P=0.008) and were in linkage disequilibrium (r2=0.87). The linear regression showed that the rs7561317 polymorphism of TMEM18 is negatively associated with obesity. This report highlights the influence of TMEM18 in Mexican-Mestizo children obesity, while adipokine and cytokine polymorphisms were not associated with it.

scholarly journals Characterizing the mechanism behind the progression of NAFLD to hepatocellular carcinoma

2020 ◽  
pp. HEP36
Author(s):  
Pierre Nahon ◽  
Manon Allaire ◽  
Jean-Charles Nault ◽  
Valérie Paradis
Keyword(s):  
Hepatocellular Carcinoma ◽  
Fatty Liver Disease ◽  
Association Studies ◽  
Cost Effective ◽  
Genome Wide Association Studies ◽  
Alcoholic Fatty Liver ◽  
Genome Wide ◽  
High Prevalence ◽  
Prevalence Of Obesity ◽  
Alcoholic Fatty Liver Disease

Hepatocellular carcinoma (HCC) developed in non-alcoholic fatty liver disease (NAFLD) individuals presents substantial clinical and biological characteristics, which remain to be elucidated. Its occurrence in noncirrhotic patients raises issues regarding surveillance strategies, which cannot be considered as cost-effective given the high prevalence of obesity and metabolic syndrome, and furthermore delineates specific oncogenic process that could be targeted in the setting of primary or secondary prevention. In this context, the identification of a genetic heterogeneity modulating HCC risk as well as specific biological pathways have been made possible through genome-wide association studies, development of animal models and in-depth analyses of human samples at the pathological and genomic levels. These advances must be confirmed and pursued to pave the way for personalized management of NAFLD-related HCC.

scholarly journals Polygenic risk score based on weight gain trajectories is predictive of childhood obesity

2019 ◽  
Author(s):  
Sarah J. C. Craig ◽  
Ana M. Kenney ◽  
Junli Lin ◽  
Ian M. Paul ◽  
Leann L. Birch ◽  
...  
Keyword(s):  
Weight Gain ◽  
Childhood Obesity ◽  
Risk Score ◽  
Genetic Variants ◽  
Association Studies ◽  
Polygenic Risk Score ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genome Wide

AbstractObesity is highly heritable, yet only a small fraction of its heritability has been attributed to specific genetic variants. These variants are traditionally ascertained from genome-wide association studies (GWAS), which utilize samples with tens or hundreds of thousands of individuals for whom a single summary measurement (e.g., BMI) is collected. An alternative approach is to focus on a smaller, more deeply characterized sample in conjunction with advanced statistical models that leverage detailed phenotypes. Here we use novel functional data analysis (FDA) techniques to capitalize on longitudinal growth information and construct a polygenic risk score (PRS) for obesity in children followed from birth to three years of age. This score, comprised of 24 single nucleotide polymorphisms (SNPs), is significantly higher in children with (vs. without) rapid infant weight gain—a predictor of obesity later in life. Using two independent cohorts, we show that genetic variants identified in early childhood are also informative in older children and in adults, consistent with early childhood obesity being predictive of obesity later in life. In contrast, PRSs based on SNPs identified by adult obesity GWAS are not predictive of weight gain in our cohort of children. Our research provides an example of a successful application of FDA to GWAS. We demonstrate that a deep, statistically sophisticated characterization of a longitudinal phenotype can provide increased statistical power to studies with relatively small sample sizes. This study shows how FDA approaches can be used as an alternative to the traditional GWAS.Author SummaryFinding genetic variants that confer an increased risk of developing a particular disease has long been a focus of modern genetics. Genome wide association studies (GWAS) have catalogued single nucleotide polymorphisms (SNPs) associated with a variety of complex diseases in humans, including obesity, but by and large have done so using increasingly large samples-- tens or even hundreds of thousands of individuals, whose phenotypes are thus often only superficially characterized. This, in turn, may hide the intricacies of the genetic influence on disease. GWAS findings are also usually study-population dependent. We found that genetic risk scores based on SNPs from large adult obesity studies are not predictive of the propensity to gain weight in very young children. However, using a small cohort of a few hundred children deeply characterized with growth trajectories between birth and two years, and leveraging such trajectories through novel functional data analysis (FDA) techniques, we were able to produce a strong childhood obesity genetic risk score.

scholarly journals A trans-ancestral meta-analysis of genome-wide association studies reveals loci associated with childhood obesity

2019 ◽  
Vol 28 (19) ◽  
pp. 3327-3338 ◽  
Author(s):  
Jonathan P Bradfield ◽  
Suzanne Vogelezang ◽  
Janine F Felix ◽  
Alessandra Chesi ◽  
Øyvind Helgeland ◽  
...  
Keyword(s):  
Childhood Obesity ◽  
Late Onset ◽  
Association Studies ◽  
Meta Analysis ◽  
Causal Variant ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
South American ◽  
Nucleotide Polymorphisms ◽  
Genome Wide

Abstract Although hundreds of genome-wide association studies-implicated loci have been reported for adult obesity-related traits, less is known about the genetics specific for early-onset obesity and with only a few studies conducted in non-European populations to date. Searching for additional genetic variants associated with childhood obesity, we performed a trans-ancestral meta-analysis of 30 studies consisting of up to 13 005 cases (≥95th percentile of body mass index (BMI) achieved 2–18 years old) and 15 599 controls (consistently <50th percentile of BMI) of European, African, North/South American and East Asian ancestry. Suggestive loci were taken forward for replication in a sample of 1888 cases and 4689 controls from seven cohorts of European and North/South American ancestry. In addition to observing 18 previously implicated BMI or obesity loci, for both early and late onset, we uncovered one completely novel locus in this trans-ancestral analysis (nearest gene, METTL15). The variant was nominally associated with only the European subgroup analysis but had a consistent direction of effect in other ethnicities. We then utilized trans-ancestral Bayesian analysis to narrow down the location of the probable causal variant at each genome-wide significant signal. Of all the fine-mapped loci, we were able to narrow down the causative variant at four known loci to fewer than 10 single nucleotide polymorphisms (SNPs) (FAIM2, GNPDA2, MC4R and SEC16B loci). In conclusion, an ethnically diverse setting has enabled us to both identify an additional pediatric obesity locus and further fine-map existing loci.

scholarly journals Genome-Wide Association Studies of Hypertension: Light at the End of the Tunnel

2010 ◽  
Vol 2010 ◽  
pp. 1-10 ◽  
Author(s):  
Claire E. Hastie ◽  
Sandosh Padmanabhan ◽  
Anna F. Dominiczak
Keyword(s):  
Study Design ◽  
Large Scale ◽  
Association Studies ◽  
Genome Wide Association ◽  
High Fidelity ◽  
Careful Study ◽  
Genome Wide Association Studies ◽  
Genetic Dissection ◽  
Genome Wide ◽  
High Prevalence

Despite its significant genetic component, the study of hypertension by genome-wide association presents more challenges than other common complex diseases. Its high prevalence, heterogeneity, and somewhat unclear definition are the challenges that need to be overcome on one hand. On the other hand, there are issues of small effect sizes and pleiotropism that are not specific to hypertension alone but nonetheless magnify the problems of genetic dissection when coupled with phenotypic misclassification. We discuss issues of study design and summarise published genome-wide association studies (GWASs) of hypertension and blood pressure. With careful study design and analysis success is possible, as demonstrated by the recent large-scale studies. Following these, there is still further scope to advance the field through high fidelity phenotyping and deep sequencing.

Genetics of Hypertension

2018 ◽  
Author(s):  
Matthew A. Sparks ◽  
Paul J Phelan
Keyword(s):  
Association Studies ◽  
Large Population ◽  
Antihypertensive Agents ◽  
Population Based ◽  
Genome Wide Association Studies ◽  
Risk Variants ◽  
Genome Wide ◽  
Monogenic Diseases ◽  
High Prevalence ◽  
Shared Risk

Despite the high prevalence of hypertension and its resulting morbidity and mortality, our knowledge of its pathogenesis remains limited. Strong evidence for a genetic role in blood pressure (BP) variability was first provided by familial segregation studies and the identification of mendelian disorders causing marked hypertension. These monogenic diseases, largely involving genes in sodium homeostatic pathways, have reinforced the Guytonian principle that BP is largely governed by renal sodium excretion. More recently, large population based genome wide association studies (GWAS) have attempted to fill in the missing heritability of the BP trait, with mixed results. Although many variants have been identified that are robustly associated with BP variability, they are mostly rare and together are responsible for a tiny percentage of total trait variability. Observations from GWAS include shared risk variants for cardiovascular and kidney disease, including polymorphisms in UMOD. Mutations in this gene are known to cause monogenic renal disease. GWAS data may be employed for pathway analysis to discover the etiology of hypertension as well providing the potential to interrogate drug responses to antihypertensive agents depending on genotype. The chapter concludes with describing future directions in BP genetics including evidence of the role of epigenetic mechanisms in BP pathogenesis. As we enter the era of whole genome sequencing, the possibility exists to discover the missing hereditability of BP variation although this technology will present its own challenges. This review contains 6 figures, 2 tables and 94 references Key words: adrenocorticotropic hormone, autosomal dominant,  autosomal recessive, cytosine-phosphate-guanine, epithelial sodium channel

scholarly journals Association study of childhood obesity with eight genetic variants recently identified by genome-wide association studies

2014 ◽  
Vol 76 (3) ◽  
pp. 310-315 ◽  
Author(s):  
Xiang-Rui Meng ◽  
Jie-Yun Song ◽  
Jun Ma ◽  
Fang-Hong Liu ◽  
Xiao-Rui Shang ◽  
...  
Keyword(s):  
Childhood Obesity ◽  
Association Study ◽  
Genetic Variants ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

scholarly journals Genetics of Childhood Obesity

2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Jianhua Zhao ◽  
Struan F. A. Grant
Keyword(s):  
United States ◽  
Childhood Obesity ◽  
Association Studies ◽  
Health Care Systems ◽  
The United States ◽  
Genome Wide Association Studies ◽  
Major Health Problem ◽  
Genome Wide ◽  
Care Systems ◽  
Prevalence Of Obesity

Obesity is a major health problem and an immense economic burden on the health care systems both in the United States and the rest of the world. The prevalence of obesity in children and adults in the United States has increased dramatically over the past decade. Besides environmental factors, genetic factors are known to play an important role in the pathogenesis of obesity. Genome-wide association studies (GWAS) have revealed strongly associated genomic variants associated with most common disorders; indeed there is general consensus on these findings from generally positive replication outcomes by independent groups. To date, there have been only a few GWAS-related reports for childhood obesity specifically, with studies primarily uncovering loci in the adult setting instead. It is clear that a number of loci previously reported from GWAS analyses of adult BMI and/or obesity also play a role in childhood obesity.

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