LINC00298 Gene

Name long intergenic non-protein coding RNA 298
Summary
{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Recent whole‐genome sequencing studies in family‐based cohorts of Alzheimer’s disease (AD) cases have identified 13 novel candidate loci, including "}, {"type": "b", "children": [{"type": "t", "text": "LINC00298"}]}, {"type": "t", "text": ", as rare‐variant risk factors (1,2). In these investigations, both single-variant and spatial clustering–based analyses revealed that variants in LINC00298 and the other novel loci were consistently associated with AD risk in discovery and replication cohorts (1,2). Notably, follow‐up analyses implicated these genes in synaptic function—a finding that differs from the common AD-associated variants, which are predominantly linked to innate immunity and, in some cases, amyloid processing (1,2). These findings underscore the potential role of non-coding RNAs such as LINC00298 in the genetic architecture of AD, highlighting the value of whole-genome sequencing approaches to uncover disease-associated rare variants outside of coding regions."}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Dmitry Prokopenko, Sarah L Morgan, Kristina Mullin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Whole-genome sequencing reveals new Alzheimer's disease-associated rare variants in loci related to synaptic function and neuronal development."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Alzheimers Dement (2021)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1002/alz.12319"}], "href": "https://doi.org/10.1002/alz.12319"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33797837"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33797837"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Dmitry Prokopenko, Sarah L Morgan, Kristina Mullin, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Whole-genome sequencing reveals new Alzheimer's disease-associated rare variants in loci related to synaptic function and neuronal development."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "medRxiv (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1101/2020.11.03.20225540"}], "href": "https://doi.org/10.1101/2020.11.03.20225540"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "33173892"}], "href": "https://pubmed.ncbi.nlm.nih.gov/33173892"}]}]}]}
NCBI Gene ID 339788
API
Download Associations
Predicted Functions View LINC00298's ARCHS4 Predicted Functions.
Co-expressed Genes View LINC00298's ARCHS4 Predicted Functions.
Expression in Tissues and Cell Lines View LINC00298's ARCHS4 Predicted Functions.

Functional Associations

LINC00298 has 168 functional associations with biological entities spanning 2 categories (cell line, cell type or tissue, gene, protein or microRNA) extracted from 4 datasets.

Click the + buttons to view associations for LINC00298 from the datasets below.

If available, associations are ranked by standardized value

Dataset Summary
CCLE Cell Line Gene CNV Profiles cell lines with high or low copy number of LINC00298 gene relative to other cell lines from the CCLE Cell Line Gene CNV Profiles dataset.
GEO Signatures of Differentially Expressed Genes for Gene Perturbations gene perturbations changing expression of LINC00298 gene from the GEO Signatures of Differentially Expressed Genes for Gene Perturbations dataset.
HuBMAP Azimuth Cell Type Annotations cell types associated with LINC00298 gene from the HuBMAP Azimuth Cell Type Annotations dataset.
Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles cell lines with high or low copy number of LINC00298 gene relative to other cell lines from the Klijn et al., Nat. Biotechnol., 2015 Cell Line Gene CNV Profiles dataset.