Annotating genetic variants to target genes using H-MAGMA

Nancy Y. A. Sey, Brandon M. Pratt, Hyejung Won

Published: 2022-10-25 DOI: 10.1038/s41596-022-00745-z

Hi-C

Genetic variants

H-MAGMA

Genomic annotation

Complex traits

AI 解读

Generation of mouse–human chimeric embryos

Genome-wide quantification of transcription factor binding at single-DNA-molecule resolution using methyl-transferase footprinting

Generation of CRISPR–Cas9-mediated genetic knockout human intestinal tissue–derived enteroid lines by lentivirus transduction and single-cell cloning

A puromycin-dependent activity-based sensing probe for histochemical staining of hydrogen peroxide in cells and animal tissues

Decoding personal biotic and abiotic airborne exposome

A clinically relevant model of focal embolic cerebral ischemia by thrombus and thrombolysis in rhesus monkeys

Bioengineering human intestinal mucosal grafts using patient-derived organoids, fibroblasts and scaffolds

Biomimetic tail-to-head terpene cyclizations using the resorcin[4]arene capsule catalyst

Neuroscience robotics for controlled induction and real-time assessment of hallucinations

Scanorama: integrating large and diverse single-cell transcriptomic datasets

Single-cell RNA sequencing (scRNA-seq)（单细胞RNA测序）

Data integration（数据集成）

Heterogeneity（异质性）

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An outstanding goal in modern genomics is to systematically predict the functional outcome of noncoding variation associated with complex traits. To address this, we developed Hi-C-coupled multi-marker analysis of genomic annotation (H-MAGMA), which build
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ACKNOWLEDGMENTS

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Sey, N., Pratt, B. & Won, H. H-MAGMA Protocol. Annotating genetic variants to target genes using H-MAGMA. Available at http://zenodo.org/record/6382668#.YwglBuzMIq0 (2021).

Annotating genetic variants to target genes using H-MAGMA

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