FB2025_02 , released April 17, 2025
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Citation
Gorsi, B., Hernandez, E., Moore, M.B., Moriwaki, M., Chow, C.Y., Coelho, E., Taylor, E., Lu, C., Walker, A., Touraine, P., Nelson, L.M., Cooper, A.R., Mardis, E.R., Rajkovic, A., Yandell, M., Welt, C.K. (2022). Causal and Candidate Gene Variants in a Large Cohort of Women With Primary Ovarian Insufficiency.  J. Clin. Endocrinol. Metab. 107(3): 685--714.
FlyBase ID
FBrf0252721
Publication Type
Research paper
Abstract
A genetic etiology likely accounts for the majority of unexplained primary ovarian insufficiency (POI). We hypothesized that heterozygous rare variants and variants in enhanced categories are associated with POI. The study was an observational study. Subjects were recruited at academic institutions. Subjects from Boston (n = 98), the National Institutes of Health and Washington University (n = 98), Pittsburgh (n = 20), Italy (n = 43), and France (n = 32) were diagnosed with POI (amenorrhea with an elevated follicle-stimulating hormone level). Controls were recruited for health in old age or were from the 1000 Genomes Project (total n = 233). We performed whole exome sequencing (WES), and data were analyzed using a rare variant scoring method and a Bayes factor-based framework for identifying genes harboring pathogenic variants. We performed functional studies on identified genes that were not previously implicated in POI in a D. melanogaster model. Genes with rare pathogenic variants and gene sets with increased burden of deleterious variants were identified. Candidate heterozygous variants were identified in known genes and genes with functional evidence. Gene sets with increased burden of deleterious alleles included the categories transcription and translation, DNA damage and repair, meiosis and cell division. Variants were found in novel genes from the enhanced categories. Functional evidence supported 7 new risk genes for POI (USP36, VCP, WDR33, PIWIL3, NPM2, LLGL1, and BOD1L1). Candidate causative variants were identified through WES in women with POI. Aggregating clinical data and genetic risk with a categorical approach may expand the genetic architecture of heterozygous rare gene variants causing risk for POI.
PubMed ID
PubMed Central ID
PMC9006976 (PMC) (EuropePMC)
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    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    J. Clin. Endocrinol. Metab.
    Title
    The Journal of clinical endocrinology and metabolism.
    ISBN/ISSN
    0021-972X 1945-7197
    Data From Reference