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Article

Functional fine-mapping of noncoding risk variants in amyotrophic lateral sclerosis utilizing convolutional neural network.

Scientific reports - 30 Jul 2020

Yousefian-Jazi Ali, Sung Min Kyung, Lee Taeyeop, Hong Yoon-Ho, Choi Jung Kyoon, Choi Jinwook

Abstract excerpt

Recent large-scale genome-wide association studies have identified common genetic variations that may contribute to the risk of amyotrophic lateral sclerosis (ALS). However, pinpointing the risk variants in noncoding regions and underlying biological mechanisms remains a major challenge. Here, we constructed a convolutional neural network model with a large-scale GWAS meta-analysis dataset to unravel functional...

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Identifiers

PMID: 32732921
DOI: 10.1038/s41598-020-69790-6
PMCID: PMC7393092

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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