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Bernard Fongang

Researcher at University of Texas Medical Branch

Publications -  32
Citations -  786

Bernard Fongang is an academic researcher from University of Texas Medical Branch. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 5, co-authored 22 publications receiving 205 citations. Previous affiliations of Bernard Fongang include University of Texas at Austin & University of Texas Health Science Center at San Antonio.

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New insights into the genetic etiology of Alzheimer’s disease and related dementias

Céline Bellenguez, +401 more
- 01 Apr 2022 - 
TL;DR: This paper performed a two-stage genome-wide association study with 111,326 clinically diagnosed/proxy AD cases and 677,663 controls and found 75 risk loci, of which 42 were new at the time of analysis.
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Comprehensive Mapping of Histone Modifications at DNA Double-Strand Breaks Deciphers Repair Pathway Chromatin Signatures

Thomas Clouaire, +15 more
- 18 Oct 2018 - 
TL;DR: This study revealed the existence of a DSB-induced monoubiquitination-to-acetylation switch on histone H2B lysine 120, likely mediated by the SAGA complex, as well as higher-order signaling at HR-repaired DSBs whereby hist one H1 is evicted while ubiquitin and 53BP1 accumulate over the entire γH2AX domains.
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Stroke genetics informs drug discovery and risk prediction across ancestries

Aniket Mishra, +551 more
- 04 Jan 2022 - 
TL;DR: In this article , a cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses.
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qDSB-Seq is a general method for genome-wide quantification of DNA double-strand breaks using sequencing.

Yingjie Zhu, +12 more
- 24 May 2019 - 
TL;DR: qDSB-Seq method is presented, which uses spike-in double-strand breaks induced by a restriction enzyme to accurately quantify DNA damage and is compatible with various DSB labeling methods in different organisms and allows accurate comparisons of absolute DSB frequencies across samples.
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The precise timeline of transcriptional regulation reveals causation in mouse somitogenesis network

Bernard Fongang, +1 more
- 05 Dec 2013 - 
TL;DR: A novel framework for data analysis is applied and a striking correspondence between gene expression times and their interactions and regulations during somitogenesis is shown, proving the key role of finely tuned transcriptional regulation in the process.