Alfredo Iacoangeli

King’s College London

United Kingdom

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Articles (16)

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2024

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2024

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2022

Collaborators (25)

Pamela Shaw

University of Sheffield

UNITED KINGDOM

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Ian Blair

Macquarie University

AUSTRALIA

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Heather Mortiboys

Professor of Cellular Neuroscience and Metabolism

University of Sheffield

UNITED KINGDOM

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John Quinn

Professor

University of Liverpool

UNITED KINGDOM

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Ashley Jones

King’s College London

UNITED KINGDOM

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Ahmad Al Khleifat

King’s College London

UNITED KINGDOM

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Claire Troakes

King’s College London

UNITED KINGDOM

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Laura Ferraiuolo

Associate Professor

University of Sheffield

UNITED KINGDOM

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Sarah Opie-Martin

King’s College London

UNITED KINGDOM

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richard dobson

King’s College London

UNITED KINGDOM

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Eilis Hannon

University of Exeter Medical School

UNITED KINGDOM

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William Sproviero

University of Oxford

UNITED KINGDOM

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Dominic Rowe

Macquarie University

AUSTRALIA

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Kevin Talbot

University of Oxford

UNITED KINGDOM

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Chad Swanson

King’s College London

UNITED KINGDOM

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Thomas Julian

The University of Manchester

UNITED KINGDOM

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Johnathan Cooper‐Knock

UNITED KINGDOM

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simon topp

King’s College London

UNITED KINGDOM

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Ammar Al-Chalabi

King’s College London

UNITED KINGDOM

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Frederik Steyn

Senior Lecturer/Group Leader

University of Queensland

AUSTRALIA

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Kelly Williams

Macquarie University

AUSTRALIA

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Lyndal Henden

Macquarie University

AUSTRALIA

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Chien-Hsiung Alan Yu

Laboratory Head

Florey Institute of Neuroscience and Mental Health

AUSTRALIA

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Sarah Furlong

Macquarie University

AUSTRALIA

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John Landers

University of Massachusetts Chan Medical School

UNITED STATES

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Alfredo Iacoangeli

Research Interests

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Articles (16)

Rare and common genetic determinants of mitochondrial function determine severity but not risk of amyotrophic lateral sclerosis

Mutations in the tail and rod domains of the neurofilament heavy-chain gene increase the risk of ALS

Harnessing transcriptomic signals for amyotrophic lateral sclerosis to identify novel drugs and enhance risk prediction

SOD1-ALS-Browser: a web-utility for investigating the clinical phenotype in SOD1 amyotrophic lateral sclerosis

DNAscan2: a versatile, scalable, and user-friendly analysis pipeline for human next-generation sequencing data

Large-scale analyses of CAV1 and CAV2 suggest their expression is higher in post-mortem ALS brain tissue and affects survival

Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data

VariantSurvival

Molecular dynamics analysis of superoxide dismutase 1 mutations suggests decoupling between mechanisms underlying ALS onset and progression

Whole-genome sequencing reveals that variants in the Interleukin 18 Receptor Accessory Protein 3'UTR protect against ALS

Genome-wide study of DNA methylation shows alterations in metabolic, inflammatory, and cholesterol pathways in ALS

The SOD1-mediated ALS phenotype shows a decoupling between age of symptom onset and disease duration

RetroSnake: A modular pipeline to detect human endogenous retroviruses in genome sequencing data

Characterisation of retrotransposon insertion polymorphisms in whole genome sequencing data from individuals with amyotrophic lateral sclerosis

The impact of age on genetic testing decisions in amyotrophic lateral sclerosis

A polymorphic transcriptional regulatory domain in the amyotrophic lateral sclerosis risk gene CFAP410 correlates with differential isoform expression

Collaborators (25)

Pamela Shaw

Ian Blair

Heather Mortiboys

John Quinn

Ashley Jones

Ahmad Al Khleifat

Claire Troakes

Laura Ferraiuolo

Sarah Opie-Martin

richard dobson

Eilis Hannon

William Sproviero

Dominic Rowe

Kevin Talbot

Chad Swanson

Thomas Julian

Johnathan Cooper‐Knock

simon topp

Ammar Al-Chalabi

Frederik Steyn

Kelly Williams

Lyndal Henden

Chien-Hsiung Alan Yu

Sarah Furlong

John Landers

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