Work

When network biology meets human genetics

Year: 2026

Type: article

Abstract: Rare variant association analyses are typically performed at the single-gene level, overlooking the molecular interactions that organize cellular systems. In this issue, Nazeen et al. introduce NERINE, a probabilistic rare variant burden test that integrates gene and protein networks to improve statistical power and biological interpretability.

Source: Cell Genomics

DOI: 10.1016/j.xgen.2026.101299

Author: Sai Zhang

Institution: Yale University

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: gold

Estimated APC paid: $8,900

Funders: Target ALS, Motor Neurone Disease Association, National Institute of General Medical Sciences, Robert Packard Center for ALS Research, Johns Hopkins University