Publications by authors named "L F Paulin"
Background: Cigarette smoking is an established risk factor for lower health-related quality of life (HRQOL). Studies to date have not used comprehensive measures of tobacco exposures across the life course. We examined the association between a lifetime cigarette smoke exposure index (LCSEI) and HRQOL among older US adults.
View Article and Find Full Text PDFThe abundance of Lp(a) protein holds significant implications for the risk of cardiovascular disease (CVD), which is directly impacted by the copy number (CN) of KIV-2, a 5.5 kbp sub-region. KIV-2 is highly polymorphic in the population and accurate analysis is challenging.
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- - A recent study highlights that adults who started smoking cigarettes before age 15 are at a significantly higher risk for COPD compared to those who began at 15 or older, regardless of their current smoking habits or exposure to second-hand smoke.
- - In the analysis involving U.S. adults aged 40 and older, 13.4% reported having COPD, with prevalence rates of 29.0% for those who started smoking before 15 and 21.1% for those who started at 15 or older.
- - The research indicates that those who began smoking early not only had a higher prevalence of COPD but also showed greater intensity in smoking behaviors, highlighting the long-term health risks associated with childhood smoking initiation.
Article Synopsis
- The Long-Read Personalized OncoGenomics (POG) dataset features 189 patient tumors and 41 matched normal samples, sequenced with Oxford Nanopore Technologies, providing a comprehensive resource for cancer research.
- It highlights the advantages of long-read sequencing in identifying complex structural variants, viral integrations, and specific DNA behaviors, such as prominent methylation patterns associated with various cancers.
- The findings underscore the potential of this dataset in precision medicine, serving as a tool for advancing analytical techniques in cancer genomics.
Article Synopsis
- The Genome in a Bottle Consortium (GIAB) is creating matched tumor-normal samples that are publicly consented for sharing genomic data and cell lines, focusing on pancreatic ductal adenocarcinoma (PDAC).
- They provide a comprehensive genomic dataset from the first individual, combining high-depth DNA from tumor and normal cells using advanced whole genome sequencing technologies.
- This open-access resource aims to help develop benchmarks for detecting genetic variants in cancer, fostering innovation in genome measurement and analysis tools.