| Literature DB >> 33101191 |
Alessandro Cattoni1, Alice Spano1, Anna Tulone1, Annalisa Boneschi2, Nicoletta Masera1, Silvia Maitz1, Anna Maria Di Blasio3, Luca Persani4,5, Fabiana Guizzardi3,4, Raffaella Rossetti4.
Abstract
Non-syndromic primary ovarian insufficiency due to ovarian dysgenesis in 46,XX patients is an uncommon finding in the general population, even though several monogenic variants have been reported as causative factors. Here, we describe a 15-year-old patient diagnosed with gonadal dysgenesis possibly due to the interaction of three potentially pathogenic variants of genes involved in ovarian maturation, namely factor in the germline alpha (FIGLA), newborn ovary homeobox-encoding (NOBOX) and nuclear receptor subfamily 5 group A member 1 (NR5A1). We also describe a different degree of residual ovarian function within the proband's family, whose female members carry one to three demonstrated variations in the aforementioned genes in a clinical spectrum potentially dependent on the number of alleles involved. Our results support the hypothesis that the severity of the clinical picture of the proband, resulting in complete ovarian dysgenesis, may be due to a synergic detrimental effect of inherited genetic variants.Entities:
Keywords: FIGLA gene; NOBOX gene; NR5A1 gene; antimullerian hormone (AMH); fertility; gene variants; gonadal dysgenesis (GD); primary ovarian insufficiency (POI)
Year: 2020 PMID: 33101191 PMCID: PMC7545356 DOI: 10.3389/fendo.2020.540683
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 5.555
Figure 1Timetable describing the sequence of the diagnostic and therapeutic interventions undertaken for the proband.
Figure 2Proband's last pelvic ultrasound, performed at the end of the pubertal induction. Ovaries were not detected due to ovarian dysgenesis. The uterus has reached a mature post-pubertal shape and volume (9.5 mL). Endometrial thickness: 4 mm (secretive phase).
Pathogenicity prediction for the three genic variants detected in the family described.
| FIGLA | NM_001004311.3 | c.364del | p.Glu122Lysis*45 | bHLH[ | <0.01 | Disease causing(1) | – | – | – | – | – | – |
| NOBOX | NM_001080413.3 | c.1626del | p.Phe543Serfs*7 | – | – | Disease causing(1) | – | – | – | – | – | – |
| NR5A1 | NM_004959.5 | c.1063G>A | p.Val355Met | LBD[ | <0.01 | Disease causing(0.99) | Probably Damaging(0.982) | Deleterious(0) | Likely benign(26) | Likely disease causing(0.816) | Damaging (0.953) | Medium (0.832) |
MAF, Minor Allele Frequency.
bHLH, basic Helix-Loop-Helix domain of DNA binding.
LBD, Ligand-Binding Domain at C-term of Nuclear receptors (NR).
MutationTaster employs a Bayes classifier to eventually predict the disease potential of an alteration. The probability value is the probability of the prediction, i.e., a value close to 1 indicates a high “security” of the prediction.
PolyPhen-2 (Polymorphism Phenotyping v2) is a tool which predicts possible impact of an amino acid substitution on the structure and function of a human protein using straightforward physical and comparative considerations. PolyPhen-2 predicts the functional significance of an allele replacement from its individual features by Naïve Bayes classifier trained using supervised machine-learning. .
SIFT predicts whether an amino acid substitution affects protein function based on sequence homology and the physical properties of amino acids. SIFT can be applied to missense variants. .
CADD is a tool that integrates multiple annotations into one metric for scoring the deleteriousness of single nucleotide variants. .
REVEL, Rare Exome Variant Ensemble Learner, is an ensemble method for predicting the pathogenicity of missense variants. It integrates scores from MutPred, FATHMM v2.3, VEST 3.0, PolyPhen-2, SIFT, PROVEAN, MutationAssessor, MutationTaster, LRT, GERP++, SiPhy, phyloP, and phastCons. Score range from 0 to 1 and variants with higher scores are predicted to be more likely to be pathogenic.
MetaLR uses logistic regression to integrate nine independent variant deleteriousness scores and allele frequency information to predict the deleteriousness of missense variants. Variants are classified as “tolerated” or “damaging”; a score between 0 and 1 is also provided and variants with higher scores are more likely to be deleterious.
Mutation Assessor predicts the functional impact of amino-acid substitutions in proteins using the evolutionary conservation of the affected amino acid in protein homologs. The prediction can be “neutral,” “low,” “medium,” and “high,” and the rank score is between 0 and 1 where variants with higher scores are more likely to be deleterious.
Figure 3Proband's NGS profiles (right) and sequence (left) of FIGLA, NOBOX, and NR5A1 genes. The identified variants c.364del (A), c.1626del (B), and c.1063G>A (C) are indicated.