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Sergio Daga

Researcher at University of Siena

Publications -  30
Citations -  451

Sergio Daga is an academic researcher from University of Siena. The author has contributed to research in topics: Medicine & Alport syndrome. The author has an hindex of 6, co-authored 23 publications receiving 159 citations.

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Association of Toll-like receptor 7 variants with life-threatening COVID-19 disease in males: findings from a nested case-control study.

Chiara Fallerini, +25 more
- 02 Mar 2021 - 
TL;DR: In this paper, a nested case-control study in which compared male participants with extreme phenotype selected from the Italian GEN-COVID cohort of SARS-CoV-2-infected participants was conducted.
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A first update on mapping the human genetic architecture of COVID-19

Gita A. Pathak, +822 more
- 04 Aug 2022 - 
TL;DR: A genome-wide association study meta-analysis of up to 125,584 cases and over 2.5 million control individuals across 60 studies from 25 countries reveals compelling insights regarding disease susceptibility and severity.
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Shorter androgen receptor polyQ alleles protect against life-threatening COVID-19 disease in European males.

Margherita Baldassarri, +39 more
- 01 Mar 2021 - 
TL;DR: Polymorphisms/rare variants in certain genes, including short polyQ of the androgen receptor, conferred protection against severe forms of COVID-19, and testosterone was higher in males with AR long-polyQ, confirming receptor resistance and contributing to designing reliable clinical and public health measures.
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iPSC-derived neurons profiling reveals GABAergic circuit disruption and acetylated α-tubulin defect which improves after iHDAC6 treatment in Rett syndrome.

Elisa Landucci, +25 more
- 15 Jul 2018 - 
TL;DR: Development of a patient‐specific neuronal model for Rett syndrome using iPSCs and a significant decrease of acetylated &agr;‐tubulin in Rett neurons, reverted by selective HDAC6 inhibitors.
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Employing a systematic approach to biobanking and analyzing clinical and genetic data for advancing COVID-19 research.

Sergio Daga, +29 more
- 17 Jan 2021 - 
TL;DR: The GEN-COVID Multicenter Study (GCB) as mentioned in this paper has collected more than 1000 SARS-CoV-2 positive individuals and linked them to detailed clinical data available in the GCPR.