DASHR 2.0 Released: Integrated database of human small non-coding RNA genes and mature products

PNGC is pleased to announce the release of the DASHR v2.0 database of human small non-coding RNAs (sncRNAs). DASHR v2.0 is freely available at https://lisanwanglab.org/DASHRv2. This is an extremely useful resource and reference for the community studying non-coding RNAs and their diverse roles in often tissue-specific cellular processes related to human diseases. DASHR (Database of […]

Penn Medicine Press Release Highlights New Data Sharing Service

Recently, Penn Medicine News wrote a press release describing the new NIAGADS Data Sharing Service (DSS), which will distribute genomic data to qualified investigators.  Initially, whole-genome sequence data will be available for 5,000 subjects, with more data to be released within a year. “Genetic findings for Alzheimer’s disease are critical for identifying targets for therapeutic […]

SPAR: Small RNA-seq Portal for analysis of sequencing expeRiments

PNGC is pleased to announce the release of the SPAR web server for small RNA-seq data analysis. Small non-coding RNAs (<200 nts, sncRNAs) play important regulatory roles by binding to mRNA and associating with transcription factor complexes in most eukaryotes, but only a fraction of sncRNAs, which include many different classes, have been identified and […]

PNGC Hosts Guest Seminar on Proteomics and Tauopathy

Judith Steen, an Associate Professor of Neurology at Harvard Medical School, spoke at Penn at the beginning of May. Dr. Steen has conducted research in the field of proteomics (the study of the structure and function of proteins), as well as the systems biology of proteopathies, or diseases due to abnormal protein aggregations.  In particular, […]

The State of Alzheimer’s Disease Genetics Research: A Discussion with Dr. Gerard Schellenberg

  • Human genetics helps us understand the biology of Alzheimer’s and identify drug targets.
  • Improvements in technology such as sequencing and gene therapy are promising.
  • Large sample sizes and rich phenotypes are critical to finding new AD genes.
  • Data visualization and outreach will encourage closer collaboration among the research community.

Largest GWAS To Date Implicates Abeta, Tau, Immunity and Lipid Processing in LOAD

The Alzheimer’s Disease Genetics Consortium (ADGC) and and the International Genomics of Alzheimer’s Project (IGAP) performed the largest genetic wide association study (GWAS) to date to discover risk loci for LOAD. Their meta-analysis implicates Abeta, Tau, immunity and lipid processing. The paper on Alzheimer’s disease genetic association has been published on bioRxiv and can be […]

PNGC Releases INFERNO

PNGC is pleased to announce the release of the INFERNO (INFERing the molecular mechanisms of NOncoding genetic variants) method (http://inferno.lisanwanglab.org). Since the majority of variants that genome-wide association studies (GWAS) identify are outside of protein-coding genes and may be proxies of truly causal variants that are inherited together in linkage disequilibrium (LD), there is a […]

NIAGADS GenomicsDB Release

NIAGADS is pleased to announce the release of the Genomics Database v. 3.1, which features a major face lift intended to improve user experience. NIAGADS GenomicsDB is a public resource that researchers can access without having to formally request data. This release greatly improves the visualization of summary statistics on the genome browser section of […]

Dr. Brad Hyman Speaks at Penn

Penn Neurodegenerative and Genomics Center was fortunate to have Dr. Brad Hyman visit from Boston and give a seminar style presentation on November 29. Dr. Hyman has worked at Massachusetts General Hospital for 25 years seeing patients with Alzheimer’s disease, and he currently serves as the Alzheimer’s Unit Director at the Institute for Neurodegenerative Disease […]

Li-San Wang Quoted in CBS Article

“Can the machine invasion help save your brain?” CBS explores this question in an October 27 article about the development of technology as it relates to advances in Alzheimer’s disease. While the amount of genetic data available has increased in recent years, the speed at which it gets sifted through also needs to increase in […]

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