scholarly journals rs11670527 Upstream of ZNF264 Associated with Body Mass Index in the Coriell Personalized Medicine Collaborative

2019 ◽  
Vol 185 (Supplement_1) ◽  
pp. 649-655
Author(s):  
Dara M Kusic ◽  
Wendy N Roberts ◽  
Joseph P Jarvis ◽  
Pan Zhang ◽  
Laura B Scheinfeldt ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Personalized Medicine ◽  
Body Mass ◽  
P Value ◽  
Healthy Weight ◽  
Military Health ◽  
Complex Genetics ◽  
Genome Wide ◽  
A Genome ◽  
The Military

Abstract Introduction: the effects of obesity on health are a concern for the military as they affect the fitness to serve of active service members, increase costs to the Military Health System, and reduce quality of life for veterans and beneficiaries. Although obesity can be influenced by behavioral and environmental factors, it has also been shown to be associated with genetic risk factors that are not fully understood. Materials and Methods: we performed a genome-wide association study of 5,251 participants in the Coriell Personalized Medicine Collaborative, which includes 2,111 Air Force participants. We applied a generalized linear model, using principal component analysis to account for population structure, and analyzed single-variant associations with body mass index (BMI) as a continuous variable, using a Bonferroni-corrected P-value threshold to account for multiplicity. Results: we identified one genome-wide significant locus, rs11670527, upstream of the ZNF264 gene on chromosome 19, associated with BMI. Conclusions: the finding of an association between rs11670527 and BMI adds to the growing body of literature characterizing the complex genetics of obesity. These efforts may eventually inform personalized interventions aimed at achieving and maintaining healthy weight.

scholarly journals A genome-wide association study of body mass index across early life and childhood

2015 ◽  
Vol 44 (2) ◽  
pp. 700-712 ◽  
Author(s):  
N. M. Warrington ◽  
L. D. Howe ◽  
L. Paternoster ◽  
M. Kaakinen ◽  
S. Herrala ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Association Study ◽  
Body Mass ◽  
Early Life ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genome Wide ◽  
A Genome

scholarly journals TCF7L2 lncRNA: a link between bipolar disorder and body mass index through glucocorticoid signaling

2021 ◽  
Author(s):  
Duan Liu ◽  
Thanh Thanh Le Nguyen ◽  
Huanyao Gao ◽  
Huaizhi Huang ◽  
Daniel C. Kim ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Bipolar Disorder ◽  
Body Mass ◽  
Genome Wide Association Study ◽  
Induced Pluripotent Stem Cell ◽  
Sequencing Data ◽  
Peripheral Tissues ◽  
Genome Wide ◽  
A Genome ◽  
Trait Locus

AbstractBipolar disorder (BD) and obesity are highly comorbid. We previously performed a genome-wide association study (GWAS) for BD risk accounting for the effect of body mass index (BMI), which identified a genome-wide significant single-nucleotide polymorphism (SNP) in the gene encoding the transcription factor 7 like 2 (TCF7L2). However, the molecular function of TCF7L2 in the central nervous system (CNS) and its possible role in the BD and BMI interaction remained unclear. In the present study, we demonstrated by studying human induced pluripotent stem cell (hiPSC)-derived astrocytes, cells that highly express TCF7L2 in the CNS, that the BD-BMI GWAS risk SNP is associated with glucocorticoid-dependent repression of the expression of a previously uncharacterized TCF7L2 transcript variant. That transcript is a long non-coding RNA (lncRNA-TCF7L2) that is highly expressed in the CNS but not in peripheral tissues such as the liver and pancreas that are involved in metabolism. In astrocytes, knockdown of the lncRNA-TCF7L2 resulted in decreased expression of the parent gene, TCF7L2, as well as alterations in the expression of a series of genes involved in insulin signaling and diabetes. We also studied the function of TCF7L2 in hiPSC-derived astrocytes by integrating RNA sequencing data after TCF7L2 knockdown with TCF7L2 chromatin-immunoprecipitation sequencing (ChIP-seq) data. Those studies showed that TCF7L2 directly regulated a series of BD risk genes. In summary, these results support the existence of a CNS-based mechanism underlying BD-BMI genetic risk, a mechanism based on a glucocorticoid-dependent expression quantitative trait locus that regulates the expression of a novel TCF7L2 non-coding transcript.

scholarly journals DNA methylation and body-mass index: a genome-wide analysis

The Lancet ◽  
2014 ◽  
Vol 383 (9933) ◽  
pp. 1990-1998 ◽  
Author(s):  
Katherine J Dick ◽  
Christopher P Nelson ◽  
Loukia Tsaprouni ◽  
Johanna K Sandling ◽  
Dylan Aïssi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Dna Methylation ◽  
Body Mass ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
A Genome

scholarly journals Relationship Between Body Mass Index and Diagnosis of Obesity in the Military Health System Active Duty Population

2021 ◽  
Author(s):  
Daren Yang ◽  
Alexis Beauvais ◽  
Whitney L Forbes ◽  
Darrick Beckman ◽  
Jason Estes ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Health System ◽  
Body Mass ◽  
Military Service ◽  
Active Duty ◽  
Service Members ◽  
Data Repository ◽  
Military Health System ◽  
Military Health ◽  
The Military

ABSTRACT Objective The overall rate of obesity is rising in the USA; this is also reflected in the military population. It is important that providers appropriately diagnose obesity and discuss treatment options with their patients. The purpose of this study was to investigate diagnosis of obesity compared to documented body mass index (BMI) in the military health system. Methods Institutional review board approval was obtained by the 59th Medical Wing (Lackland Air Force Base, Texas) as an exempt study. This study included active duty military service members aged 18-65 years who sought outpatient care at a military treatment facility from September 2013 to August 2018 with a weight within the range of 31.8-226.8 kg and height between 121.9 and 215.9 cm. Data were collected from the Clinical Data Repository vitals and M2 encounter data to determine the percentage of each sub-population with a diagnosis of obesity according to BMI (≥30 kg/m2) and International Classification of Diseases diagnosis codes. Results Using BMI, 19.2% of female and 26.8% of male service members can be diagnosed with obesity; however, only 42.2% and 35.1%, respectively, with a BMI ≥30 was diagnosed as such. This discrepancy was consistent among all service branches and BMI ranges. Conclusion This study demonstrates that obesity is underdiagnosed compared to BMI. This may result in insufficient resources being provided to patients to reduce weight. Further investigation is warranted to identify causes of underdiagnosis and potential barriers to diagnosis.

scholarly journals A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance

2012 ◽  
Vol 44 (6) ◽  
pp. 659-669 ◽  
Author(s):  
Alisa K Manning ◽  
◽  
Marie-France Hivert ◽  
Robert A Scott ◽  
Jonna L Grimsby ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Body Mass ◽  
Genetic Variants ◽  
Genome Wide ◽  
A Genome

scholarly journals A genome-wide linkage scan for body mass index on Framingham Heart Study families

BMC Genetics ◽  
2003 ◽  
Vol 4 (Suppl 1) ◽  
pp. S97 ◽  
Author(s):  
Roxana Moslehi ◽  
Alisa M Goldstein ◽  
Michael Beerman ◽  
Lynn Goldin ◽  
Andrew W Bergen
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Framingham Heart Study ◽  
Genome Wide ◽  
Heart Study ◽  
A Genome

scholarly journals A new genetic locus for antipsychotic-induced weight gain: A genome-wide study of first-episode psychosis patients using amisulpride (from the OPTiMiSE cohort)

2020 ◽  
Vol 34 (5) ◽  
pp. 524-531 ◽  
Author(s):  
Sophie E ter Hark ◽  
Stéphane Jamain ◽  
Dick Schijven ◽  
Bochao D Lin ◽  
Mark K Bakker ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Body Mass ◽  
Association Studies ◽  
Genome Wide Association ◽  
Chromatin Interaction ◽  
First Episode ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
A Genome

Background: Antipsychotic-induced weight gain is a common and debilitating side effect of antipsychotics. Although genome-wide association studies of antipsychotic-induced weight gain have been performed, few genome-wide loci have been discovered. Moreover, these genome-wide association studies have included a wide variety of antipsychotic compounds. Aims: We aim to gain more insight in the genomic loci affecting antipsychotic-induced weight gain. Given the variable pharmacological properties of antipsychotics, we hypothesized that targeting a single antipsychotic compound would provide new clues about genomic loci affecting antipsychotic-induced weight gain. Methods: All subjects included for this genome-wide association study ( n=339) were first-episode schizophrenia spectrum disorder patients treated with amisulpride and were minimally medicated (defined as antipsychotic use <2 weeks in the previous year and/or <6 weeks lifetime). Weight gain was defined as the increase in body mass index from before until approximately 1 month after amisulpride treatment. Results: Our genome-wide association analyses for antipsychotic-induced weight gain yielded one genome-wide significant hit (rs78310016; β=1.05; p=3.66 × 10−08; n=206) in a locus not previously associated with antipsychotic-induced weight gain or body mass index. Minor allele carriers had an odds ratio of 3.98 ( p=1.0 × 10−03) for clinically meaningful antipsychotic-induced weight gain (⩾7% of baseline weight). In silico analysis elucidated a chromatin interaction with 3-Hydroxy-3-Methylglutaryl-CoA Synthase 1. In an attempt to replicate single-nucleotide polymorphisms previously associated with antipsychotic-induced weight gain, we found none were associated with amisulpride-induced weight gain. Conclusion: Our findings suggest the involvement of rs78310016 and possibly 3-Hydroxy-3-Methylglutaryl-CoA Synthase 1 in antipsychotic-induced weight gain. In line with the unique binding profile of this atypical antipsychotic, our findings furthermore hint that biological mechanisms underlying amisulpride-induced weight gain differ from antipsychotic-induced weight gain by other atypical antipsychotics.

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 Genetic Determinants of Increased Body Mass Index Partially Mediate the Effect of Elevated Birth Weight on the Increased Risk of Atrial Fibrillation

2021 ◽  
Vol 8 ◽  
Author(s):  
Songzan Chen ◽  
Tian Xu ◽  
Fangkun Yang ◽  
Yao Wang ◽  
Kaijie Zhang ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Body Mass Index ◽  
Birth Weight ◽  
Body Mass ◽  
The Body ◽  
Sensitivity Analyses ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
A Genome ◽  
Increased Risk

Background: Although several observational studies have shown an association between birth weight (BW) and atrial fibrillation (AF), controversy remains. In this study, we aimed to explore the role of elevated BW on the etiology of AF.Methods: A two-sample Mendelian randomization (MR) study was designed to infer the causality. The genetic data on the associations of single-nucleotide polymorphisms (SNPs) with BW and AF were separately obtained from two large-scale genome-wide association studies with up to 321,223 and 1,030,836 individuals, respectively. SNPs were identified at a genome-wide significant level (p &lt;5 × 10−8). The inverse variance-weighted (IVW) method was employed to obtain causal estimates as our primary analysis. Sensitivity analyses with various statistical methods were applied to evaluate the robustness of the results, and multivariable MR analysis was conducted to determine whether this association was mediated by the body mass index (BMI).Results: In total, 144 SNPs were identified as the genetic instrumental variables. MR analysis revealed a causal effect of elevated BW on AF (OR = 1.27, 95% CI = 1.14–1.40, p = 5.70 × 10−6). All the results in sensitivity analyses were consistent with the primary result. The effect of BW on AF was attenuated when adjusted for BMI (OR = 1.16, 95% CI = 1.01–1.33, p = 0.04).Conclusions: This study indicated that elevated BW was significantly associated with increased lifelong risk of AF, which may be partially mediated by BMI.

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