Genome-wide SNP and CNV analysis identifies common and low-frequency variants associated with severe early-onset obesity
Ontology highlight
ABSTRACT:
PROVIDER: EGAS00001000878 | EGA |
REPOSITORIES: EGA
Publications
Genome-wide SNP and CNV analysis identifies common and low-frequency variants associated with severe early-onset obesity.
Wheeler Eleanor E Huang Ni N Bochukova Elena G EG Keogh Julia M JM Lindsay Sarah S Garg Sumedha S Henning Elana E Blackburn Hannah H Loos Ruth J F RJ Wareham Nick J NJ O'Rahilly Stephen S Hurles Matthew E ME Barroso Inês I Farooqi I Sadaf IS
Nature genetics 20130407 5
Common and rare variants associated with body mass index (BMI) and obesity account for <5% of the variance in BMI. We performed SNP and copy number variation (CNV) association analyses in 1,509 children with obesity at the extreme tail (>3 s.d. from the mean) of the BMI distribution and 5,380 controls. Evaluation of 29 SNPs (P < 1 × 10(-5)) in an additional 971 severely obese children and 1,990 controls identified 4 new loci associated with severe obesity (LEPR, PRKCH, PACS1 and RMST). A previou ...[more]
Similar Datasets
Project description:Common and rare variants associated with body mass index (BMI) and obesity account for <5% of the variance in BMI. We performed SNP and copy number variation (CNV) association analyses in 1,509 children with obesity at the extreme tail (>3 s.d. from the mean) of the BMI distribution and 5,380 controls. Evaluation of 29 SNPs (P < 1 × 10(-5)) in an additional 971 severely obese children and 1,990 controls identified 4 new loci associated with severe obesity (LEPR, PRKCH, PACS1 and RMST). A previously reported 43-kb deletion at the NEGR1 locus was significantly associated with severe obesity (P = 6.6 × 10(-7)). However, this signal was entirely driven by a flanking 8-kb deletion; absence of this deletion increased risk for obesity (P = 6.1 × 10(-11)). We found a significant burden of rare, single CNVs in severely obese cases (P < 0.0001). Integrative gene network pathway analysis of rare deletions indicated enrichment of genes affecting G protein-coupled receptors (GPCRs) involved in the neuronal regulation of energy homeostasis.
| S-EPMC4106235 | biostudies-literature
Project description:Obesity is a major risk factor for many common diseases and has a significant heritable component. While clinical and large-scale population studies have identified several genes harbouring rare alleles with large effects on obesity risk, there are likely many unknown genes with highly penetrant effects remaining. To this end, we performed whole exome-sequence analyses for adult body mass index (BMI) in up to 587,027 individuals. We identified rare, loss of function variants in two genes – BSN and APBA1 – with effects on BMI substantially larger than well-established obesity genes such as MC4R. One in ~6500 individuals carry a heterozygous protein truncating variant (PTV) in BSN, which confers a 6.6, 3.7 and 3-fold higher risk of severe obesity (BMI >40kg/m2), non-alcoholic fatty liver disease and type 2 diabetes, respectively. Rare PTVs in BSN were found in three patients with severe early onset obesity, but in contrast to most other obesity-related genes, rare variants in BSN and APBA1 were not associated with normal variation in childhood adiposity. Furthermore, BSN PTVs magnified the influence of common genetic variants associated with BMI, with a common polygenic score exhibiting an effect on BMI twice as large in BSN PTV carriers than non-carriers. Finally, we explored the plasma proteomic signatures of BSN PTV carriers as well as the functional consequences of BSN deletion in human iPSC-derived hypothalamic neurons. These approaches highlighted a network of differentially expressed genes that were collectively enriched for genomic regions associated with BMI, and suggest emerging roles for neurodevelopment, neurogenesis, and altered neuronal oxidative phosphorylation in the etiology of obesity.
2024-01-29 | GSE243112 | GEO
Project description:Obesity is considered a multifactorial disorder with high heritability (50-75%), probably higher in early-onset and severe cases. Although rare monogenic forms and several genes and regions of susceptibility, including CNVs, have been defined, the genetic causes underlying the disease still remain largely unknown. We aimed to identify novel genetic and genomic abnormalities in a cohort of Spanish children with severe non-syndromic early-onset obesity (EOO). We obtained molecular karyotypes of 157 children with EOO. Large and rare CNVs were validated and segregated in the family. A higher burden of duplication-type CNVs was detected in EOO patients versus controls (OR=1.85, p-value=0.008).
2017-04-28 | E-MTAB-5680 | biostudies-arrayexpress
Project description:This clinical study was approved by the Ethics Committee at Hangzhou Xixi Hospital (Zhejiang province, China). A total of 11 males and 37 females were included in normal weight healthy control group (NC); 77 males and 19 females were included in BMI group. Normal weight healthy control group: BMI equals or less than 23 without acute and chronic diseases.; BMI group: BMI equals or above 25
2024-02-27 | PXD041236 | Pride
Project description:Transcriptional Profiling of Insulin Sensitive and Insulin Resistant Samples Sixty two participants at the tail ends of the distribution of insulin sensitivity adjusted for age, gender and natural logarithm of BMI for each ethnic group separately. Individuals at tail ends were well matched for age, gender, BMI, and percent fat, but were different for insulin sensitivity. Participants were of age 20 years to 55 years, body mass index (BMI) between 19 kg/m2 and 42 kg/m2, and had all biopsies obtained in the fasting state.
2013-04-16 | E-GEOD-40234 | biostudies-arrayexpress
Project description:Obesity is thought to contribute to worse disease outcome in breast cancer as a result of increased levels of adipocyte-secreted endocrine factors, insulin, and insulin-like growth factors (IGFs) that accelerate tumor cell proliferation and impair treatment response. We examined the effects of patient obesity on primary breast tumor gene expression, by profiling transcription of a set of tumors for which the patients’ body mass index (BMI) was ascertained. Sample profiles were stratified according to patients’ obesity phenotype defined as normal (BMI <25), overweight (BMI 25-29.9), or obese (BMI>30). Widespread alterations in gene expression were evident in breast tumors from obese patients as compared to tumors from other patients, allowing us to define an obesity-associated cancer transcriptional signature of 662 genes. Keywords: two group comparison Primary breast tumor specimens were obtained from patients. Study volunteers completed questionnaires used to define historically normal (BMI<=24.9), overweight (BMI 25-29.9), or obese (BMI>=30) patient categories according to established WHO criteria.
2011-07-17 | E-GEOD-24185 | biostudies-arrayexpress
Project description:Background: Low-density neutrophils (LDN) are increased in several inflammatory diseases, and may also play a role in low-grade chronic inflammation in obesity. Yet their role in obesity or the effect of bariatric surgery-induced weight loss is unknown. Methods: We compared circulating LDN, their function, and gene expression between morbidly obese patients (MOP; BMI > 40 Kg/m2) and normal-weight controls (NWC; BMI < 25 Kg/m2) in a case-control study. Additionally, in a prospective longitudinal study, we measure changes in the frequency of LDN before and after bariatric surgery, and tested possible associations with metabolic and inflammatory parameters. Findings: LDN and inflammatory markers were significantly increased in MOP (n=27) compared to NWC (n=20). Transcriptome analysis of LDN from MOP showed an increased neutrophil-related gene expression signature associated with inflammation, neutrophil activation, and immunosuppressive function. However, LDN did not suppress T cells proliferation and produced low levels of ROS. Circulating LDN in MOP significantly decreased after surgery in parallel with BMI, metabolic syndrome and inflammatory markers. Interpretation: Obesity increases LDN with inflammatory gene signature. Bariatric surgery has anti-inflammatory effect including reduction of LDN. Gene expression and phenotype suggest that LDN represent a neutrophil subset that may be associated with obesity-associated chronic inflammation that promotes co-morbidities.
2022-03-15 | GSE161042 | GEO
Project description:Obesity is a highly heritable and genetically heterogeneous disorder. Here we investigated the contribution of copy number variation to obesity in 300 Caucasian patients with severe early-onset obesity, 143 of whom also had developmental delay. Large (>500 kilobases), rare (<1%) deletions were significantly enriched in patients compared to 7,366 controls (P < 0.001). We identified several rare copy number variants that were recurrent in patients but absent or at much lower prevalence in controls. We identified five patients with overlapping deletions on chromosome 16p11.2 that were found in 2 out of 7,366 controls (P < 5 x 10(-5)). In three patients the deletion co-segregated with severe obesity. Two patients harboured a larger de novo 16p11.2 deletion, extending through a 593-kilobase region previously associated with autism and mental retardation; both of these patients had mild developmental delay in addition to severe obesity. In an independent sample of 1,062 patients with severe obesity alone, the smaller 16p11.2 deletion was found in an additional two patients. All 16p11.2 deletions encompass several genes but include SH2B1, which is known to be involved in leptin and insulin signalling. Deletion carriers exhibited hyperphagia and severe insulin resistance disproportionate for the degree of obesity. We show that copy number variation contributes significantly to the genetic architecture of human obesity.
| S-EPMC3108883 | biostudies-literature
Project description:The genetic architecture of schizophrenia is complex, involving risk alleles ranging from common alleles of weak effect to rare alleles of large effect, the best exemplar of the latter being large copy number variants (CNVs). It is currently unknown whether pathophysiology in those with defined rare mutations overlaps with that in other individuals with the disorder who do not share the same rare mutation. Under an extreme heterogeneity model, carriers of specific high-penetrance mutations form distinct subgroups. In contrast, under a polygenic threshold model, high-penetrance rare allele carriers possess many risk factors, of which the rare allele is the only one, albeit an important, factor. Under the latter model, cases with rare mutations can be expected to share some common risk alleles, and therefore pathophysiological mechanisms, with cases without the same mutation. Here we show that, compared with controls, individuals with schizophrenia who have known pathogenic CNVs carry an excess burden of common risk alleles (P=2.25 × 10(-17)) defined from a genome-wide association study largely based on individuals without known CNVs. Our finding is not consistent with an extreme heterogeneity model for CNV carriers, but does offer support for the polygenic threshold model of schizophrenia. That this is so provides support for the notion that studies aiming to model the effects of rare variation may uncover pathophysiological mechanisms of relevance to those with the disorder more widely.
| S-EPMC4960448 | biostudies-literature
Project description:OBJECTIVE:To understand the incidence and persistence of severe obesity (≥1.2× 95th BMI percentile-for-age) in girls across the transition to adolescence, and map developmental trajectories of adolescent severe obesity in a high-risk sample. METHODS:We examined ten years of prospectively collected data from a population sample of urban girls (n=2,226; 53% African American, aged 7-10 in 2003-2004). We determined severe obesity prevalence and incidence by age. Logistic regression evaluated for secular trend in the association between age and severe obesity prevalence. Unconditional latent growth curve models (LGCMs) compared BMI development through the adolescence transition between girls with severe obesity versus healthy BMI. RESULTS:Severe obesity prevalence was 8.3% at age 7-10 and 10.1% at age 16-19 (white: 5.9%; African American: 13.2%; p<0.001). Age-specific prevalence increased more rapidly among the latest-born, versus earliest-born, girls (p=0.034). Incidence was 1.3% to 2.4% annually. When we compared 12-15 year-old girls with severe obesity versus healthy BMI, average body weight was already distinct 5 years earlier (16.5 kg versus 25.7 kg; p<0.001) and the BMI difference between groups increased annually. LCGMs between ages 7-10 and 11-14 indicated an increase of 3.32 kg/m2 in the healthy-BMI group and 8.50 kg/m2 in the severe obesity group, a 2.6-fold difference. CONCLUSIONS:Youth-onset severe obesity warrants particular concern in urban girls due to high prevalence and an increasing secular prevalence trend. Late childhood and early adolescence may represent a key developmental window for prevention and treatment, but is too late to prevent youth-onset severe obesity entirely.
| S-EPMC4617672 | biostudies-literature