Anorexia Nervosa Genetics Initiative (ANGI)
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PROVIDER: PRJNA434031 | ENA |
REPOSITORIES: ENA
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Project description:Anorexia Nervosa Genetics Initiative (ANGI)
| PRJNA434032 | ENA
Project description:As part of the Genetic Consortium for Anorexia Nervosa (GCAN) and Wellcome Trust Case
Control Consortium 3 (WTCCC3), we have amassed the largest anorexia nervosa (AN)
sample in the world (~4,000). Following the WTCCC3 GWAS, we secured funding from the
Klarman Family Foundation to extend the genetic analyses to variants on the exome chip
(CoreExome array). This pre-lim relates to carrying out genotyping on the CoreExome array
on up to a maximum of 580 new samples.
| EGAS00001000913 | EGA
Project description:Anorexia nervosa (AN) is a complex debilitating disease characterized by intense fear of weight gain and excessive exercise. It is the deadliest of any psychiatric disorder with a high rate of recidivism, yet its pathophysiology is unclear. The Activity-Based Anorexia (ABA) paradigm is a widely accepted mouse model of AN that recapitulates hypophagia and hyperactivity despite reduced body weight, however, not the chronicity. Here, we modified the prototypical ABA paradigm to increase the time to lose 25% of baseline body weight from less than 7 days to more than 2 weeks. We used this paradigm to identify persistently altered genes after weight restoration that represent a metabolic memory of under-nutrition and may contribute to AN relapse. We focused on adipose tissue as it was identified as a major location of metabolic memory of over-nutririon. We identified 300 persistently dysregulated genes, including Calm2 and Vps13d, which could be potential global regulators of metabolic memory in both chronic over- and under-nutrition. However, despite being on the opposite spectrum of weight perturbations, the majority of metabolic memory genes of under- and over-nutrition do not overlap, suggestive of the different mechanisms involved in these extreme nutritional statuses.
2023-08-23 | GSE229316 | GEO
Project description:The role of gut microbiota in anorexia nervosa
| PRJEB38930 | ENA
Project description:Anorexia nervosa (AN) is a psychiatric disorder with an estimated heritability of around 70%. Although the largest genome-wide association study meta-analysis on AN identified independent loci-conferring risk to the disorder, the molecular mechanisms underlying the genetic basis of AN remains to be elucidated. To explore AN, we ran a transcriptome profiling in peripheral blood mononuclear cells of 15 AN subjects and 15 healthy controls. We validated our mean results in a mouse model of chronic food restriction mimicking several aspects of AN. Through this exploratory study we identified 673 significantly differentially expressed genes in AN. Among these genes, we identified the Vanin-1 (Vnn1) gene that appears to play a major role in the regulation of multiple metabolic pathways. We confirmed an underexpression of Vnn1, especially in the liver, in a mouse model of chronic food restriction. These results indicate that quantitative food restriction affects Vnn1 expression, suggesting that this gene may contribute to the anorexic phenotype in the chronic food restriction mouse model as well as in patients affected by AN. We believe that this report highlights promising candidate genes and gene pathways for AN and reveals Vnn1 as a biomarker that may be used as molecular targets to predict and/or to understand AN.
2023-10-31 | GSE245978 | GEO
Project description:Total liver RNA extracts from adult female mice (8-week-old) subjected to CRS (chronic restraint stress) or CDDP (cisplatin) induced anorexia with or without ACBP/DBI delivery to investigate the impact of ACBP/DBI on anorexia-induced transcriptomic alterations.
2024-07-12 | GSE237766 | GEO
Project description:BACKGROUND:Genetic factors contribute to anorexia nervosa (AN); and the first genome-wide significant locus has been identified. We describe methods and procedures for the Anorexia Nervosa Genetics Initiative (ANGI), an international collaboration designed to rapidly recruit 13,000 individuals with AN and ancestrally matched controls. We present sample characteristics and the utility of an online eating disorder diagnostic questionnaire suitable for large-scale genetic and population research. METHODS:ANGI recruited from the United States (US), Australia/New Zealand (ANZ), Sweden (SE), and Denmark (DK). Recruitment was via national registers (SE, DK); treatment centers (US, ANZ, SE, DK); and social and traditional media (US, ANZ, SE). All cases had a lifetime AN diagnosis based on DSM-IV or ICD-10 criteria (excluding amenorrhea). Recruited controls had no lifetime history of disordered eating behaviors. To assess the positive and negative predictive validity of the online eating disorder questionnaire (ED100K-v1), 109 women also completed the Structured Clinical Interview for DSM-IV (SCID), Module H. RESULTS:Blood samples and clinical information were collected from 13,363 individuals with lifetime AN and from controls. Online diagnostic phenotyping was effective and efficient; the validity of the questionnaire was acceptable. CONCLUSIONS:Our multi-pronged recruitment approach was highly effective for rapid recruitment and can be used as a model for efforts by other groups. High online presence of individuals with AN rendered the Internet/social media a remarkably effective recruitment tool in some countries. ANGI has substantially augmented Psychiatric Genomics Consortium AN sample collection. ANGI is a registered clinical trial: clinicaltrials.govNCT01916538; https://clinicaltrials.gov/ct2/show/NCT01916538?cond=Anorexia+Nervosa&draw=1&rank=3.
| S-EPMC6338222 | biostudies-literature
Project description:Up until now, no study has looked specifically at epigenomic landscapes throughout twin samples, discordant for Anorexia nervosa (AN). Our goal was to find evidence to confirm the hypothesis that epigenetic variations play a key role in the aetiology of AN. In this study, we quantified genome-wide patterns of DNA methylation using the Infinium Human DNA Methylation EPIC BeadChip array (850K) in DNA samples isolated from whole blood collected from a group of 7 monozygotic twin pairs discordant for AN. Results were then validated performing a genome-wide DNA methylation profiling using DNA extracted from whole blood of a group of non-family related AN patients and a group of healthy controls. Our first analysis using the twin sample revealed 9 CpGs associated to a gene. The validation analysis showed two statistically significant CpGs with the rank regression method related to two genes associated to metabolic traits, PPP2R2C and CHST1. When doing beta regression, 6 of them showed statistically significant differences, including 3 CpGs associated to genes JAM3, UBAP2L and SYNJ2.Finally, the overall pattern of results shows genetic links to phenotypes which the literature has constantly related to AN, including metabolic and psychological traits. The genes PPP2R2C and CHST1 have both been linked to the metabolic traits type 2 diabetes through GWAS studies. The genes UBAP2L and SYNJ2 have been related to other psychiatric comorbidity.
2022-01-31 | GSE186766 | GEO