LongevityMap: a database of human genetic variants associated with longevity.

Trends Genet

The Shraga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel; Judea Regional Research and Development Center, Carmel 90404, Israel.

Published: October 2013

Understanding the genetic basis of human longevity remains a challenge but could lead to life-extending interventions and better treatments for age-related diseases. Toward this end we developed the LongevityMap (http://genomics.senescence.info/longevity/), the first database of genes, loci, and variants studied in the context of human longevity and healthy ageing. We describe here its content and interface, and discuss how it can help to unravel the genetics of human longevity.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.tig.2013.08.003DOI Listing

Publication Analysis

Top Keywords

human longevity
12
longevitymap database
4
human
4
database human
4
human genetic
4
genetic variants
4
variants associated
4
longevity
4
associated longevity
4
longevity understanding
4

Similar Publications

Complementing discourse following a February 2023 event on dietary protein needs in Southeast Asia (SEA), this symposium report summarizes the region's protein intake, while simultaneously examining the impact of dietary shift toward complementary and alternative proteins and their health implications. It highlights the importance of protein quality in dietary evaluations, optimal intake, and sustainability, advocating for environmentally conscious protein production and innovation in future foods. Discussion points, expert opinions, national nutrition data, and relevant literature, addressing protein intake and quality, their impact on human health, and various technologies for future foods production, have been included.

View Article and Find Full Text PDF

Lewy body diseases and the gut.

Mol Neurodegener

January 2025

Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA.

Gastrointestinal (GI) involvement in Lewy body diseases (LBDs) has been observed since the initial descriptions of patients by James Parkinson. Recent experimental and human observational studies raise the possibility that pathogenic alpha-synuclein (⍺-syn) might develop in the GI tract and subsequently spread to susceptible brain regions. The cellular and mechanistic origins of ⍺-syn propagation in disease are under intense investigation.

View Article and Find Full Text PDF

Background: China is experiencing an increasingly serious aging population. Cognitive function is an important factor and guarantee for the quality of life of older people. Therefore, to achieve healthy aging, this study aimed to examine the sequential multiple mediating effects of indoor ventilation frequency and cognitive function on anxiety and self-rated health in the Chinese older people population.

View Article and Find Full Text PDF

The prevalence of Alzheimer's disease (AD) is increasing as society ages. The details of AD pathogenesis have not been fully elucidated, and a comprehensive gene expression analysis of the process leading up to the onset of AD would be helpful for understanding the mechanism. We performed an RNA sequencing analysis on a cohort of 1227 Japanese blood samples, representing 424 AD patients, 543 individuals with mild cognitive impairment (MCI), and 260 cognitively normal (CN) individuals.

View Article and Find Full Text PDF

A comprehensive benchmarking for evaluating TCR embeddings in modeling TCR-epitope interactions.

Brief Bioinform

November 2024

Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, 999077, China.

The complexity of T cell receptor (TCR) sequences, particularly within the complementarity-determining region 3 (CDR3), requires efficient embedding methods for applying machine learning to immunology. While various TCR CDR3 embedding strategies have been proposed, the absence of their systematic evaluations created perplexity in the community. Here, we extracted CDR3 embedding models from 19 existing methods and benchmarked these models with four curated datasets by accessing their impact on the performance of TCR downstream tasks, including TCR-epitope binding affinity prediction, epitope-specific TCR identification, TCR clustering, and visualization analysis.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!