2020
DOI: 10.1007/s12098-019-03129-6
|View full text |Cite
|
Sign up to set email alerts
|

A Targeted Next Generation Sequencing Panel for Non-syndromic Early Onset Severe Obesity and Identification of Novel Likely -Pathogenic Variants in the MC4R and LEP Genes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
6
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(6 citation statements)
references
References 22 publications
0
6
0
Order By: Relevance
“…[5,15] NGS utilizing advanced genomic technology and bioinformatics to analyze genomic or exomic data to identify gene variants for determination of pathogenic or likely pathogenic changes impacting the coding of protein and disturbances with disease causation are becoming more recognized and clinically relevant including for obesity. [7,[16][17][18][19][20] Furthermore, at least 12 gene variants directly involved in monogenic forms of nonsyndromic human obesity have been identified [21] including a novel variant in the low-density lipoprotein receptor 2 (LRP2) gene using whole-exome sequencing of extreme morbid obese patients [22] and novel, likely pathogenic variants in the MC4R and LEP genes were found in a study of 46 patients with clinical suspicion of nonsyndromic early onset severe obesity (NEOSO). [19] Furthermore, new studies in obesity using single-cell RNA sequencing in mice models have revealed obesity-induced alterations in the Brca1 gene mutated in mouse mammary gland microenvironment led to upregulated expression of extracellular matrix genes including Col3a1, Col6a3, Eln and Sparc and down regulation of immune-regulatory genes (Ligp1 and Cxcl10) in stromal subtype cells.…”
Section: Single Gene Causes Of Obesitymentioning
confidence: 99%
See 2 more Smart Citations
“…[5,15] NGS utilizing advanced genomic technology and bioinformatics to analyze genomic or exomic data to identify gene variants for determination of pathogenic or likely pathogenic changes impacting the coding of protein and disturbances with disease causation are becoming more recognized and clinically relevant including for obesity. [7,[16][17][18][19][20] Furthermore, at least 12 gene variants directly involved in monogenic forms of nonsyndromic human obesity have been identified [21] including a novel variant in the low-density lipoprotein receptor 2 (LRP2) gene using whole-exome sequencing of extreme morbid obese patients [22] and novel, likely pathogenic variants in the MC4R and LEP genes were found in a study of 46 patients with clinical suspicion of nonsyndromic early onset severe obesity (NEOSO). [19] Furthermore, new studies in obesity using single-cell RNA sequencing in mice models have revealed obesity-induced alterations in the Brca1 gene mutated in mouse mammary gland microenvironment led to upregulated expression of extracellular matrix genes including Col3a1, Col6a3, Eln and Sparc and down regulation of immune-regulatory genes (Ligp1 and Cxcl10) in stromal subtype cells.…”
Section: Single Gene Causes Of Obesitymentioning
confidence: 99%
“…[7,[16][17][18][19][20] Furthermore, at least 12 gene variants directly involved in monogenic forms of nonsyndromic human obesity have been identified [21] including a novel variant in the low-density lipoprotein receptor 2 (LRP2) gene using whole-exome sequencing of extreme morbid obese patients [22] and novel, likely pathogenic variants in the MC4R and LEP genes were found in a study of 46 patients with clinical suspicion of nonsyndromic early onset severe obesity (NEOSO). [19] Furthermore, new studies in obesity using single-cell RNA sequencing in mice models have revealed obesity-induced alterations in the Brca1 gene mutated in mouse mammary gland microenvironment led to upregulated expression of extracellular matrix genes including Col3a1, Col6a3, Eln and Sparc and down regulation of immune-regulatory genes (Ligp1 and Cxcl10) in stromal subtype cells. This research suggested that obesity alters the extracellular matrix composition and the immune ecosystem in mice through modulating the functionality of mammary stromal fibroblasts.…”
Section: Single Gene Causes Of Obesitymentioning
confidence: 99%
See 1 more Smart Citation
“…Genetically, obesity can be classified as: monogenic, primarily caused by mutations in several genes involved in the leptin/melanocortin and adipogenesis pathways (such as MC4R, LEP, LEPR, POMC and PCSK1) [20][21][22]; syndromic, associated with neurodevelopmental abnormalities and/or other malformations due to chromosomal abnormalities or single nucleotide variations affecting genes that encode pivotal proteins in the regulation of energy balance [23]; polygenic, caused by the contribution of more than one genetic variant, whose effect is amplified in a 'weight-gain-promoting' environment [24]. In the last ten years, next-generation sequencing (NGS) approaches have greatly improved the rate of molecular diagnosis because of their extremely high specificity, sensitivity, accuracy, and their timeand cost-effectiveness [20,[25][26][27][28][29][30]. To date, about 250 genetic variants associated with BMI or waist-to-hip ratio have been identified through genome-wide association studies and whole genome or exome sequencing [31].…”
Section: Introductionmentioning
confidence: 99%
“…In this issue of the journal, Khadilkar et al, report their experience of Next generation genetic testing for two important obesity related genes, Leptin and MC4 receptor in 46 children with early onset non-syndromic obesity [3]. They identified pathological mutations in 4 (8.5%; Leptin deficiency in 3 and MC4 Receptor defects in 1) and emphasized the importance of genetic studies in these children for prognosis, treatment and genetic counseling.…”
mentioning
confidence: 99%