ArticleFertility and sterility2021
Identifying susceptibility genes for primary ovarian insufficiency on the high-risk genetic background of a fragile X premutation.
Article in Fertility and sterility, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 6 citations in OpenAlex.
- Review
- Polygenic risk scores of endo-phenotypes identify the effect of genetic background in congenital heart disease.HGG advances · 2022Article
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Authors and funding
23 authors at 9 institutions in 3 countries.
Funding
Abstract
objectiveTo identify modifying genes that explains the risk of fragile X-associated primary ovarian insufficiency (FXPOI).
designGene-based, case/control association study, followed by a functional screen of highly ranked genes using a Drosophila model.
settingParticipants were recruited from academic and clinical settings. PATIENT(S): Women with a premutation (PM) who experienced FXPOI at the age of 35 years or younger (n = 63) and women with a PM who experienced menopause at the age of 50 years or older (n = 51) provided clinical information and a deoxyribonucleic acid sample for whole genome sequencing. The functional screen was on the basis of Drosophila TRiP lines. INTERVENTION(S): Clinical information and a DNA sample were collected for whole genome sequencing.
main outcome measuresA polygenic risk score derived from common variants associated with natural age at menopause was calculated and associated with the risk of FXPOI. Genes associated with the risk of FXPOI were identified on the basis of the P-value from gene-based association test and an altered level of fecundity when knocked down in the Drosophila PM model.
resultsThe polygenic risk score on the basis of common variants associated with natural age at menopause explained approximately 8% of the variance in the risk of FXPOI. Further, SUMO1 and KRR1 were identified as possible modifying genes associated with the risk of FXPOI on the basis of an untargeted gene analysis of rare variants.
conclusionsIn addition to the large genetic effect of a PM on ovarian function, the additive effects of common variants associated with natural age at menopause and the effect of rare modifying variants appear to play a role in FXPOI risk.
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