scholarly journals Copy number variations residing outside the SHOX enhancer region are involved in Short Stature and Léri‐Weill dyschondrosteosis

2021 ◽  
Author(s):  
Antonella Fanelli ◽  
Silvia Vannelli ◽  
Deepak Babu ◽  
Simona Mellone ◽  
Alessia Cucci ◽  
...  
Keyword(s):  
Short Stature ◽  
Copy Number ◽  
Copy Number Variations ◽  
Enhancer Region

scholarly journals DNA Methylation Status of SHOX-Flanking CpG Islands in Healthy Individuals and Short Stature Patients with Pseudoautosomal Copy Number Variations

2019 ◽  
Vol 158 (2) ◽  
pp. 56-62 ◽  
Author(s):  
Kenichiro Ogushi ◽  
Atsushi Hattori ◽  
Erina Suzuki ◽  
Hirohito Shima ◽  
Masako Izawa ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Short Stature ◽  
Peripheral Blood ◽  
Blood Cells ◽  
Copy Number ◽  
Methylation Status ◽  
Cpg Islands ◽  
Copy Number Variations ◽  
Peripheral Blood Cells ◽  
Healthy Individuals

SHOX resides in the short arm pseudoautosomal region (PAR1) of the sex chromosomes and escapes X inactivation. SHOX haploinsufficiency underlies idiopathic short stature (ISS) and Leri-Weill dyschondrosteosis (LWD). A substantial percentage of cases with SHOX haploinsufficiency arise from pseudoautosomal copy number variations (CNVs) involving putative enhancer regions of SHOX. Our previous study using peripheral blood samples showed that some CpG dinucleotides adjacent to SHOX exon 1 were hypomethylated in a healthy woman and methylated in a woman with gross X chromosomal rearrangements. However, it remains unknown whether submicroscopic pseudoautosomal CNVs cause aberrant DNA methylation of SHOX-flanking CpG islands. In this study, we examined the DNA methylation status of SHOX-flanking CpG islands in 50 healthy individuals and 10 ISS/LWD patients with pseudoautosomal CNVs. In silico analysis detected 3 CpG islands within the 20-kb region from the translation start site of SHOX. Pyrosequencing and bisulfite sequencing of genomic DNA samples revealed that these CpG islands were barely methylated in peripheral blood cells and cultured chondrocytes of healthy individuals, as well as in peripheral blood cells of ISS/LWD patients with pseudoautosomal CNVs. These results, in conjunction with our previous findings, indicate that the DNA methylation status of SHOX-flanking CpG islands can be affected by gross X-chromosomal abnormalities, but not by submicroscopic CNVs in PAR1. Such CNVs likely disturb SHOX expression through DNA methylation-independent mechanisms, which need to be determined in future studies.

scholarly journals Rare pseudoautosomal copy-number variations involving SHOX and/or its flanking regions in individuals with and without short stature

2015 ◽  
Vol 60 (9) ◽  
pp. 553-556 ◽  
Author(s):  
Maki Fukami ◽  
◽  
Yasuhiro Naiki ◽  
Koji Muroya ◽  
Takashi Hamajima ◽  
...  
Keyword(s):  
Short Stature ◽  
Copy Number ◽  
Copy Number Variations ◽  
Flanking Regions

scholarly journals IGF1R, IGFALS, and IGFBP3 gene copy number variations in a group of non-syndromic Egyptian short children

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Islam M. Fadel ◽  
Moustafa H. Ragab ◽  
Ola M. Eid ◽  
Nivine A. Helmy ◽  
Hala T. El-Bassyouni ◽  
...  
Keyword(s):  
Short Stature ◽  
Copy Number ◽  
Copy Number Variants ◽  
Gene Copy Number ◽  
Hormone Treatment ◽  
Postnatal Growth ◽  
Copy Number Variations ◽  
Diagnostic Workup ◽  
Gene Copy ◽  
Egyptian Children

Abstract Background Insulin-like growth factor-1 (IGF-1) is required for normal intrauterine and postnatal growth, and this action is mediated through IGF1 receptor (IGF1R). IGF1R copy number variants (CNVs) can cause pre- and postnatal growth restriction, affecting an individual’s height. In this study, we used multiplex ligation-dependent probe amplification (MLPA) to detect CNVs in IGF1R, IGFALS, and IGFBP3 genes in the diagnostic workup of short stature for 40 Egyptian children with short stature. Results We detected a heterozygous deletion of IGF1R (exons 4 through 21) in 1 out of the 40 studied children (2.5%). Meanwhile, we did not detect any CNVs in either IGFALS or IGFBP3. Conclusion The diagnostic workup of short stature using MLPA for CNVs of IGF1R and other recognized height-related genes, such as SHOX and GH, in non-syndromic short stature children can be a fast and inexpensive diagnostic tool to recognize a subcategory of patients in which growth hormone treatment can be considered.

X-linked CNV and skewed X-chromosome inactivation

2020 ◽  
pp. 19-21
Author(s):  
Е.А. Фонова ◽  
Е.Н. Толмачева ◽  
А.А. Кашеварова ◽  
М.Е. Лопаткина ◽  
К.А. Павлова ◽  
...  
Keyword(s):  
Cell Proliferation ◽  
Intellectual Disability ◽  
X Chromosome ◽  
Copy Number ◽  
Copy Number Variations ◽  
X Chromosome Inactivation ◽  
Chromosome Inactivation ◽  
Chromosome X ◽  
Skewed X Chromosome Inactivation

Смещение инактивации Х-хромосомы может быть следствием и маркером нарушения клеточной пролиферации при вариациях числа копий ДНК на Х-хромосоме. Х-сцепленные CNV выявляются как у женщин с невынашиванием беременности и смещением инактивации Х-хромосомы (с частотой 33,3%), так и у пациентов с умственной отсталостью и смещением инактивацией у их матерей (с частотой 40%). A skewed X-chromosome inactivation can be a consequence and a marker of impaired cell proliferation in the presence of copy number variations (CNV) on the X chromosome. X-linked CNVs are detected in women with miscarriages and a skewed X-chromosome inactivation (with a frequency of 33.3%), as well as in patients with intellectual disability and skewed X-chromosome inactivation in their mothers (with a frequency of 40%).

scholarly journals Combination of Genome-Wide Polymorphisms and Copy Number Variations of Pharmacogenes in Koreans

2021 ◽  
Vol 11 (1) ◽  
pp. 33
Author(s):  
Nayoung Han ◽  
Jung Mi Oh ◽  
In-Wha Kim
Keyword(s):  
Copy Number ◽  
Genome Wide Association Study ◽  
Copy Number Gain ◽  
Copy Number Variations ◽  
Gene Gain ◽  
Single Nucleotide Variants ◽  
Single Nucleotide ◽  
Haplotype Blocks ◽  
Genome Wide ◽  
Control And Prevention

For predicting phenotypes and executing precision medicine, combination analysis of single nucleotide variants (SNVs) genotyping with copy number variations (CNVs) is required. The aim of this study was to discover SNVs or common copy CNVs and examine the combined frequencies of SNVs and CNVs in pharmacogenes using the Korean genome and epidemiology study (KoGES), a consortium project. The genotypes (N = 72,299) and CNV data (N = 1000) were provided by the Korean National Institute of Health, Korea Centers for Disease Control and Prevention. The allele frequencies of SNVs, CNVs, and combined SNVs with CNVs were calculated and haplotype analysis was performed. CYP2D6 rs1065852 (c.100C>T, p.P34S) was the most common variant allele (48.23%). A total of 8454 haplotype blocks in 18 pharmacogenes were estimated. DMD ranked the highest in frequency for gene gain (64.52%), while TPMT ranked the highest in frequency for gene loss (51.80%). Copy number gain of CYP4F2 was observed in 22 subjects; 13 of those subjects were carriers with CYP4F2*3 gain. In the case of TPMT, approximately one-half of the participants (N = 308) had loss of the TPMT*1*1 diplotype. The frequencies of SNVs and CNVs in pharmacogenes were determined using the Korean cohort-based genome-wide association study.

scholarly journals Performance of In Silico Prediction Tools for the Detection of Germline Copy Number Variations in Cancer Predisposition Genes in 4208 Female Index Patients with Familial Breast and Ovarian Cancer

Cancers ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 118
Author(s):  
Louisa Lepkes ◽  
Mohamad Kayali ◽  
Britta Blümcke ◽  
Jonas Weber ◽  
Malwina Suszynska ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
In Silico ◽  
Copy Number ◽  
Gc Content ◽  
Copy Number Variations ◽  
Cancer Predisposition ◽  
Predictive Values ◽  
Prediction Tools ◽  
Predisposition Genes ◽  
Female Index

The identification of germline copy number variants (CNVs) by targeted next-generation sequencing (NGS) frequently relies on in silico CNV prediction tools with unknown sensitivities. We investigated the performances of four in silico CNV prediction tools, including one commercial (Sophia Genetics DDM) and three non-commercial tools (ExomeDepth, GATK gCNV, panelcn.MOPS) in 17 cancer predisposition genes in 4208 female index patients with familial breast and/or ovarian cancer (BC/OC). CNV predictions were verified via multiplex ligation-dependent probe amplification. We identified 77 CNVs in 76 out of 4208 patients (1.81%); 33 CNVs were identified in genes other than BRCA1/2, mostly in ATM, CHEK2, and RAD51C and less frequently in BARD1, MLH1, MSH2, PALB2, PMS2, RAD51D, and TP53. The Sophia Genetics DDM software showed the highest sensitivity; six CNVs were missed by at least one of the non-commercial tools. The positive predictive values ranged from 5.9% (74/1249) for panelcn.MOPS to 79.1% (72/91) for ExomeDepth. Verification of in silico predicted CNVs is required due to high frequencies of false positive predictions, particularly affecting target regions at the extremes of the GC content or target length distributions. CNV detection should not be restricted to BRCA1/2 due to the relevant proportion of CNVs in further BC/OC predisposition genes.

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