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Article

Functional analysis of low-grade glioma genetic variants predicts key target genes and transcription factors.

Neuro-oncology - 12 Apr 2021

Manjunath Mohith, Yan Jialu, Youn Yeoan, Drucker Kristen L, Kollmeyer Thomas M, McKinney Andrew M, Zazubovich Valter, Zhang Yi, Costello Joseph F, Eckel-Passow Jeanette, Selvin Paul R, Jenkins Robert B, Song Jun S

Abstract excerpt

BACKGROUND: Large-scale genome-wide association studies (GWAS) have implicated thousands of germline genetic variants in modulating individuals' risk to various diseases, including cancer. At least 25 risk loci have been identified for low-grade gliomas (LGGs), but their molecular functions remain largely unknown. METHODS: We hypothesized that GWAS loci contain causal single nucleotide polymorphisms (SNPs) that...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 33130899
DOI: 10.1093/neuonc/noaa248
PMCID: PMC8041333

Genes

TF
MAFF
PHLDB1
SLC25A26
ZBTB16

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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