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Genome-wide copy number variation analysis identifies novel candidate loci associated with pediatric obesity

ABSTRACT: Genome-wide copy number variation analysis identifies novel candidate loci associated with pediatric obesity

PROVIDER: PRJNA394153 | ENA |

REPOSITORIES: ENA

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Genome-wide copy number variation analysis identifies novel candidate loci associated with pediatric obesity [CytoScanHD_Array]

Project description:Purpose: Obesity is known to be a multifactorial condition that is highly heritable. There have been ~60 susceptibility loci identified, but they only account for a fraction of cases. As copy number variations (CNVs) have been implicated in the etiology of a multitude of human disorders including obesity, here, we investigated the contribution of rare CNVs (<0.1% population frequency) in pediatric cases of obesity. Methods: We genotyped 67 pediatric patients presenting with obesity, including 22 with co-morbid developmental delay and prioritized rare CNVs at known associated loci, as well as, those impacting genes involved in energy homeostasis or related processes. Results: We identified clinically relevant or potentially clinically-relevant CNVs in 15% (10/67) of individuals. Of these, 4% (3/67) had 16p11.2 microdeletions encompassing the known obesity risk gene SH2B1. Notably, we identified two unrelated probands harboring different 6p22.2 microduplications encompassing SCGN, a potential novel candidate gene for obesity. Further, we identified other biologically relevant candidate genes for pediatric obesity including ARID5B, GPR39, PTPRN2, and HNF4G. Conclusion: We found previously reported candidate loci for obesity, and new ones, suggesting CNV analysis may assist in the diagnosis of pediatric obesity.

2018-07-12 | GSE101414 | GEO

Genome-wide copy number variation analysis identifies novel candidate loci associated with pediatric obesity [GenomeWideSNP_6]

Project description:Purpose: Obesity is known to be a multifactorial condition that is highly heritable. There have been ~60 susceptibility loci identified, but they only account for a fraction of cases.. As copy number variations (CNVs) have been implicated in the etiology of a multitude of human disorders including obesity, here, we investigated the contribution of rare CNVs (<0.1% population frequency) in pediatric cases of obesity. Methods: We genotyped 67 pediatric patients presenting with obesity, including 22 with co-morbid developmental delay and prioritized rare CNVs at known associated loci, as well as, those impacting genes involved in energy homeostasis or related processes. Results: We identified clinically relevant or potentially clinically-relevant CNVs in 15% (10/67) of individuals. Of these, 4% (3/67) had 16p11.2 microdeletions encompassing the known obesity risk gene SH2B1. Notably, we identified two unrelated probands harboring different 6p22.2 microduplications encompassing SCGN, a potential novel candidate gene for obesity. Further, we identified other biologically relevant candidate genes for pediatric obesity including ARID5B, GPR39, PTPRN2, and HNF4G. Conclusion: We found previously reported candidate loci for obesity, and new ones, suggesting CNV analysis may assist in the diagnosis of pediatric obesity.

2018-07-12 | GSE101416 | GEO

Genome-wide copy number variation analysis identifies novel candidate loci associated with pediatric obesity [Omni2.5M Beadchip]

Project description:Purpose: Obesity is known to be a multifactorial condition that is highly heritable. There have been ~60 susceptibility loci identified, but they only account for a fraction of cases.. As copy number variations (CNVs) have been implicated in the etiology of a multitude of human disorders including obesity, here, we investigated the contribution of rare CNVs (<0.1% population frequency) in pediatric cases of obesity. Methods: We genotyped 67 pediatric patients presenting with obesity, including 22 with co-morbid developmental delay and prioritized rare CNVs at known associated loci, as well as, those impacting genes involved in energy homeostasis or related processes. Results: We identified clinically relevant or potentially clinically-relevant CNVs in 15% (10/67) of individuals. Of these, 4% (3/67) had 16p11.2 microdeletions encompassing the known obesity risk gene SH2B1. Notably, we identified two unrelated probands harboring different 6p22.2 microduplications encompassing SCGN, a potential novel candidate gene for obesity. Further, we identified other biologically relevant candidate genes for pediatric obesity including ARID5B, GPR39, PTPRN2, and HNF4G. Conclusion: We found previously reported candidate loci for obesity, and new ones, suggesting CNV analysis may assist in the diagnosis of pediatric obesity.

2018-07-12 | GSE101417 | GEO

Genome-wide copy number variation analysis identifies novel candidate loci associated with pediatric obesity.

Project description: Not available

| S-EPMC6189095 | biostudies-literature

Genome-wide copy number variation analysis identifies novel candidate loci associated with pediatric obesity

Project description:This SuperSeries is composed of the SubSeries listed below.

2018-07-12 | GSE101418 | GEO

Copy number variation in pediatric multiple sclerosis.

Project description: Not available

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Genotyping and analysis of chromosome copy number variation (CNV) from pediatric primary intracranial germ cell tumor

2010-02-26 | GSE19349 | GEO

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Genotyping and analysis of chromosome copy number variation (CNV) from pediatric primary intracranial germ cell tumor

Project description:Intracranial pediatric germ cell tumors (GCTs) have different histological differentiations, prognosis and clinical behaviors. Prognosis of patients with germinoma and mature teratoma is good, while patients with other types of GCTs, termed as nongerminomatous malignant germ cell tumors (NGMGCTs), require more extensive drug and irradiation treatment regimen. The mechanisms underlying different prognosis of various GCT subgroups remain elusive. We presented CNVs correlating with GCTs malignancy and clinical risk. 16 central nervous system GCT cases with different histological subtypes are subjected to genotyping and CNVs analysis. The histological subtypes are germinoma, mixed GCT of germinoma and mature teratoma, immature teratoma, mixed GCTs of NGMGCTs category, yolk sac tumor, immature teratoma, and embryonal carcinoma.

2010-06-24 | E-GEOD-19349 | biostudies-arrayexpress

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