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Base by Base
Gustavo Barra
191 episodes
2 days ago
Base by Base explores advances in genetics and genomics, with a focus on gene-disease associations, variant interpretation, protein structure, and insights from exome and genome sequencing. Each episode breaks down key studies and their clinical relevance—one base at a time. Powered by AI, Base by Base offers a new way to learn on the go. Special thanks to authors who publish under CC BY 4.0, making open-access science faster to share and easier to explore.
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Life Sciences
Health & Fitness,
Medicine,
Science
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All content for Base by Base is the property of Gustavo Barra and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Base by Base explores advances in genetics and genomics, with a focus on gene-disease associations, variant interpretation, protein structure, and insights from exome and genome sequencing. Each episode breaks down key studies and their clinical relevance—one base at a time. Powered by AI, Base by Base offers a new way to learn on the go. Special thanks to authors who publish under CC BY 4.0, making open-access science faster to share and easier to explore.
Show more...
Life Sciences
Health & Fitness,
Medicine,
Science
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179: Mosaicism for Autosomal Trisomies: Maternal Age, UPD, and Reproductive History in 1,266 Cases
Base by Base
16 minutes 49 seconds
2 weeks ago
179: Mosaicism for Autosomal Trisomies: Maternal Age, UPD, and Reproductive History in 1,266 Cases
️ Episode 179: Mosaicism for Autosomal Trisomies: Maternal Age, UPD, and Reproductive History in 1,266 Cases In this episode of PaperCast Base by Base, we explore a comprehensive literature analysis of 1,266 reported cases of autosomal trisomy mosaicism, contrasting prenatal cohorts—true fetal mosaicism and confined placental mosaicism—with postnatal diagnoses to clarify how maternal age and reproductive history relate to outcomes and uniparental disomy. Study Highlights:The authors screened 596 publications and assembled 948 prenatal and 318 postnatal mosaicism cases to compare outcome patterns and demographics. They found that advanced maternal age was more common in pregnancies with normal outcomes than in those with abnormal outcomes (73% vs 56%), while pregnancies ending in fetal loss showed a 50% advanced maternal age rate. Mosaic carriers with concomitant uniparental disomy of chromosomes 7, 14, 15, or 16 had markedly higher advanced maternal age than those with biparental disomy overall (78% vs 48%), suggesting age-associated biases in trisomy rescue. Reporting of reproductive history was limited, but prior fetal loss was nearly twice as frequent among mothers in the postnatal cohort compared with the prenatal cohort (30% vs 16%), and prior chromosomal abnormalities in earlier pregnancies appeared substantially enriched relative to non-mosaic series. Conclusion:These findings challenge assumptions drawn from non-mosaic trisomies and indicate that maternal age and reproductive history shape both outcomes and the likelihood of uniparental disomy in autosomal trisomy mosaicism, motivating better standardized reporting and registry-based studies. Reference:Kovaleva, N. V.; Cotter, P. D. Mosaicism for Autosomal Trisomies: A Comprehensive Analysis of 1266 Published Cases Focusing on Maternal Age and Reproductive History. Genes 2024, 15, 778. https://doi.org/10.3390/genes15060778 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/ Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Base by Base
Base by Base explores advances in genetics and genomics, with a focus on gene-disease associations, variant interpretation, protein structure, and insights from exome and genome sequencing. Each episode breaks down key studies and their clinical relevance—one base at a time. Powered by AI, Base by Base offers a new way to learn on the go. Special thanks to authors who publish under CC BY 4.0, making open-access science faster to share and easier to explore.