Christina Lill

Professor

Germany

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Christina Lill is a Professor at the Institute of Epidemiology and Social Medicine at the University of Münster, Germany. Her research areas encompass neurodegenerative diseases, particularly focusing on the immune profiles and genetic factors associated with conditions such as Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis. Recent publications highlight her work on immune cell distributions, genetic polymorphisms, and epigenetic markers in relation to these neurological disorders.

Articles (22)

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Collaborators (11)

Julius Popp

SWITZERLAND

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Marcela Guevara

Instituto de Salud Pública de Navarra

SPAIN

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Petronella Kettunen

Associate professor

University of Gothenburg, Sahlgrenska Academy

SWEDEN

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Laura Winchester

University of Oxford

UNITED KINGDOM

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Graham Pawelec

Professor of Experimental Immunology

University of Tübingen

GERMANY

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Alexander Pantelyat

Assistant Professor

Johns Hopkins University

UNITED STATES

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Alejo Nevado-Holgado

University of Oxford

UNITED KINGDOM

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Noel Buckley

Professor of Neurobiology

University of Oxford

UNITED KINGDOM

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Kimberly Paul

Asst Prof

David Geffen School of Medicine at UCLA

UNITED STATES

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Lars Bertram

Professor of Genome Analytics

University of Lübeck

GERMANY

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Abdul Hye

King’s College London

UNITED KINGDOM

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Christina Lill

Research Interests

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Articles (22)

Peripheral Immune Profiles in Individuals at Genetic Risk of Amyotrophic Lateral Sclerosis and Alzheimer’s Disease

No increase of CD8+ TEMRA cells in the blood of healthy adults at high genetic risk of Alzheimer's disease.

Immune Cell Distributions in the Blood of Healthy Individuals at High Genetic Risk of Parkinson’s Disease

Multiomics profiling of human plasma and cerebrospinal fluid reveals ATN-derived networks and highlights causal links in Alzheimer's disease.

Lipopolysaccharide-binding protein and future Parkinson's disease risk: a European prospective cohort.

Variants in the TERT Gene Increase the Occurrence of Solar Lentigines by Modifying Telomerase Expression Exclusively in the Skin.

Multivariate GWAS of Alzheimer's disease CSF biomarker profiles implies GRIN2D in synaptic functioning.

Prediagnostic Blood Metal Levels and the Risk of Parkinson's Disease: A Large European Prospective Cohort.

Entorhinal cortex epigenome-wide association study highlights four novel loci showing differential methylation in Alzheimer's disease.

Phenotypic specificity in patients with neurodevelopmental delay does not correlate with diagnostic yield of trio-exome sequencing.

Genome-wide analysis furthers decoding of Alzheimer disease genetics.

Genetic associations with learning over 100 days of practice.

Genome-Wide Association Study of Alzheimer's Disease Brain Imaging Biomarkers and Neuropsychological Phenotypes in the European Medical Information Framework for Alzheimer's Disease Multimodal Biomarker Discovery Dataset.

A correlation map of genome-wide DNA methylation patterns between paired human brain and buccal samples.

Epigenome-Wide Association Study in Peripheral Tissues Highlights DNA Methylation Profiles Associated with Episodic Memory Performance in Humans.

Increased Menopausal Age Reduces the Risk of Parkinson's Disease: A Mendelian Randomization Approach.

Replication study of plasma proteins relating to Alzheimer's pathology.

Genotype–Phenotype Relations for the Atypical Parkinsonism Genes: MDSGene Systematic Review

A common polymorphism in the dopamine transporter gene predicts working memory performance and in vivo dopamine integrity in aging.

MicroRNAs as Molecular Biomarkers for Parkinson's Disease Progression.

TMEM106B and CPOX are genetic determinants of cerebrospinal fluid Alzheimer's disease biomarker levels.

Transcriptome-wide Association Study in Frontotemporal Dementia Identifies New Disease Loci by In Silico Analysis.

Collaborators (11)

Julius Popp

Marcela Guevara

Petronella Kettunen

Laura Winchester

Graham Pawelec

Alexander Pantelyat

Alejo Nevado-Holgado

Noel Buckley

Kimberly Paul

Lars Bertram

Abdul Hye

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