Computational Health Center

Institute of Neurogenomics

At the Institute of Neurogenomics (ING), we study the genomic basis of neurological diseases to pave the way to a healthier life.

At the Institute of Neurogenomics (ING), we study the genomic basis of neurological diseases to pave the way to a healthier life.

Human brain digital x-ray

Our Mission

Our overall goal is to identify the genomic basis of neurological diseases in order to improve the diagnosis of our patients and provide tailored personalized treatment. We seek to understand the genomic architecture of complex inherited diseases and to study the underlying molecular mechanisms that burden patients with an increased susceptibility. Understanding predisposition allows us to model how environmental factors coalesce to amplify disease manifestation. This knowledge helps us to formulate precise treatments for our patients, taking into consideration their genetic makeup as well as “multi-omic” information. Ultimately, we want to combat disease by predicting susceptibility at an early stage and then preventing the onset.

Our approach is to combine clinical insight gleaned from our patients with high-throughput “omics” analysis such as array-based genotyping, next generation sequencing, and analysis of the proteome, transcriptome and other omics layers. We then investigate the functional relevance of identified markers using cellular and animal models.

We partner with specialized outpatient clinics at the Klinikum rechts der Isar of the Technische Universität München and specialized hospitals in order to learn the needs of our patients. Moreover, with respect for patients and their family’s cooperative spirit, we can transfer the knowledge we gain directly back into the clinic for prevention, self-observation and treatment. 

Research Groups

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Precision Neuromedicine

We strive to achieve comprehensive genetic and multi-omic disease characterization to enable mechanistic understanding as well as improved health outcomes via enhanced prediction, prevention, diagnosis, and personalized treatment.

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Neurogenetic Systems Analysis

We address the principles of neural biosystems, their genetic foundations, and their pathological alterations. We use the results of our investigations for improving diagnostics and disease prediction.

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Big data and artificial intelligence concept.

Multiomics for Disease Diagnostics

We aim at providing computational solutions for patient diagnosis and treatment.

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Our Clinical and Cohort Studies

RNA therapeutics

Acute Liver Failure

ALF

Mitochondrial Disease Registry

GENOMIT

Deutsches Netzwerk für mitochondriale Erkrankungen

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Our News

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Awards & Grants, Computational Health, ING,

Arcangela Iuso Receives the Eva Luise Köhler Research Award

Dr. Arcangela Iuso from the Institute of Neurogenomics at Helmholtz Munich was awarded the Eva Luise Köhler Research Award. The foundation thus honors a highly innovative research project on RNA base editing for a rare neurodegenerative disease.

A digital brain and DNA strand, symbolizing the connection between genetics and neuroscience, on a blue abstract background.

Featured Publication, Computational Health, ING,

Genes Shape the Brain – New Study Uncovers Genetic Influences on Brain Structure

An international study led by Helmholtz Munich and Forschungszentrum Jülich has identified genetic factors that influence the shape of subcortical brain regions – advancing beyond previous research that focused primarily on brain volume. The findings…

Porträt Holger Prokisch_KI-Erweiterung

Awards & Grants, Computational Health, ING,

Medal of Honor for Holger Prokisch

The German Society of Human Genetics (GfH) has awarded Dr. Holger Prokisch of Helmholtz Munich the GfH Medal of Honor for his exceptional contributions to human genetic research. This prestigious award is given annually to researchers who have…

Restless leg Syndrom (RLS): The Urge to Move Legs and Discomfort - Picture a person with highlighted nerves showing agitation, experiencing urge to move legs and discomfort

New Research Findings, Computational Health, ING,

Restless Legs Syndrome: Genetic Discoveries Advance Treatment and Risk Prediction

Researchers at Helmholtz Munich and the Technical University of Munich (TUM) together with international collaborators have conducted the largest genetic investigation of the restless legs syndrome to date. Their findings, published in Nature…

People at ING

Marieta Borzes

Technical Assistant

Silke Baselice-Denkmann
Silke Baselice-Denkmann

Personal Assistant Prof. Winkelmann

Porträt Ivana Dzinovic
Ivana Džinović

PhD student

Porträt Irene Flavia Ferro
Irene Ferro

PhD Student

Dr. Philip Harrer, PhD

Post Doc

Porträt Dr. Arcangela Iuso
Dr. Arcangela Iuso

Senior Scientist

ING Office

Silke Baselice-Denkmann

Porträt_Volker_Kittke-freigestellt
Dr. Volker Kittke

PostDoc

Porträt Sandra Maier
Sandra Maier

Assistant

Robert Kopajtich

Staff Scientist

Dr. Nazanin Mirza-Schreiber

Post Doc

Portrait Konrad Oexle
Prof. Dr. Konrad Oexle

Group Leader

Porträt Martin Pavlov
Martin Pavlov

PhD student

Porträt Fatemeh Peimani Foroushani
Fatemeh Peymani

PhD student

Porträt Sabrina Primus
Sabrina Primus

PhD student

Protraitfoto_Prokisch_Holger_freigestellt
Dr. Holger Prokisch

Group Leader

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Noah Risse

PhD student

Nathalie Schandra

Neurologist /RLS Ambulanz

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Dr. Barbara Schormair

Deputy Head

Dr. Simone Schuffenhauer

Senior Scientist

Elisabeth Stephan

Technical Assistant

Dmitrii Smirnov

PhD student

Dr. Erik Tilch

Senior Scientist

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Prof. Dr. Juliane Winkelmann

Head of Institute

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Dr. Matias Wagner

Senior Scientist, FA für Humangenetik

Porträt Michael Zech
PD Dr. Michael Zech

Senior Scientist, FA für Humangenetik

Dr. Chen Zhao

Senior Scientist

Publications

Brain Commun. 8:fcag016 (2026)

Raimondo, F. ; Bi, H. ; Komeyer, V. ; Kasper, J. ; Primus, S.A. ; Hoffstaedter, F. ; Mandal, S. ; Waite, L.K. ; Winkelmann, J. ; Oexle, K. ; Eickhoff, S.B. ; Tahmasian, M. ; Patil, K.R.

Can we predict sleep health based on brain features? A large-scale machine learning study using UK Biobank.
BMC Med. 24, 14:125 (2026)

Lai, L. ; Jong, A. ; Delerue, T. ; Lin, J. ; Thorand, B. ; Heier, M. ; Prokisch, H. ; Farzeen, A. ; Winkelmann, J. ; Thiering, E. ; Gieger, C. ; Peters, A. ; Waldenberger, M.

Association of DNA methylation with hypertension and blood pressure: A 7-year longitudinal study from KORA F4/FF4.
Neurol. Sci. 47:168 (2026)

Romito, L.M. ; Telese, R. ; Kaymak, A. ; Colucci, F. ; Elia, A.E. ; Rinaldo, S. ; Devigili, G. ; Cilia, R. ; Zorzi, G. ; Mazzoni, A. ; Leta, V. ; Zech, M. ; Carecchio, M. ; Garavaglia, B. ; Levi, V. ; Andreasi, N.G. ; Eleopra, R.

Sex-related differences in the short and long-term outcome of internal pallidus stimulation for dystonia.
Neurology 106:e214401 (2026)

Lopriore, P. ; Ünlütürk, Z. ; Klopstock, T. ; Karaa, A. ; Rouzier, C. ; Domínguez-González, C. ; Lamperti, C. ; Mancuso, M. ; Cecchi, G. ; Montano, V. ; Siciliano, G. ; Nicoletta, V. ; Maioli, M. ; Primiano, G. ; Servidei, S. ; La Morgia, C. ; Carelli, V. ; Valentino, M.L. ; Caporali, L. ; Arena, I.G. ; Musumeci, O. ; Lopergolo, D. ; Malandrini, A. ; Gallus, G.N. ; Filosto, M. ; Bello, L. ; Pegoraro, E. ; Comi, G.P. ; Magri, F. ; Ronchi, D. ; Di Fonzo, A. ; Percetti, M. ; Azzimonti, M. ; Büchner, B. ; Prokisch, H. ; Bermejo-Guerrero, L. ; Procaccio, V. ; Gaignard, P. ; Echaniz-Laguna, A. ; Schiff, M. ; Rötig, A. ; Toutain, A. ; Paquis-Flucklinger, V. ; Morel, G. ; Robin, S. ; Nadaj-Pakleza, A. ; Chanson, J.B. ; Chaussenot, A. ; Ait-El-Mkadem Saadi, S. ; Trimouille, A. ; Tranchant, C. ; Salort-Campana, E. ; Bieth, E. ; Sacconi, S. ; Duval, F. ; Restrepo Vera, J.L. ; Molnar, M.J. ; Vissing, J. ; Haas, R. ; Larson, A. ; Enns, G.M. ; Parikh, S. ; Goldstein, A. ; Hirano, M.

Clinical and genotypic spectrum of twinkle-related disorders: Insights from a multinational cohort study.
Clin. Epigenet. 18:22 (2026)

Ciantar, J. ; Rajić, S. ; Kostiniuk, D. ; Raulamo, E. ; Kartiosuo, N. ; Lai, L. ; Mishra, P.P. ; Lyytikäinen, L.P. ; Kleber, M.E. ; Rovio, S. ; Mykkänen, J. ; Pahkala, K. ; Peters, A. ; Winkelmann, J. ; März, W. ; Kähönen, M. ; Raitakari, O. ; Lehtimäki, T. ; Waldenberger, M. ; Marttila, S. ; Raitoharju, E.

Genome-wide DNA methylation patterns for indicators of liver steatosis: A longitudinal multiomic study.
Neurol. Genet. 12:e200330 (2026)

Nakamura, K. ; Kishita, Y. ; Sugiura, A. ; Ozaki, K. ; Yatsuka, Y. ; Matsumoto, N. ; Okazaki, A. ; Prokisch, H. ; Maruyama, K. ; Iwasa, H. ; Murayama, K. ; Matsumoto, H. ; Ohtake, A. ; Shiraishi, Y. ; Okazaki, Y.

Identification of intronic variants in NDUFA3 as a cause of leigh syndrome by whole genome sequencing and RNA sequencing.
Environ. Res. 288:123284 (2026)

Yao,Y. ; Wolf, K. ; Breitner-Busch, S. ; Zhang, S. ; Waldenberger, M. ; Winkelmann, J. ; Schneider, A.E. ; Peters, A.

Long-term exposure to traffic-related air pollution is associated with epigenetic age acceleration.
Stem Cell Res. 90:103892 (2025)

Gasparini, G. ; Kraus, C. ; Rusha, E. ; Orschmann, T. ; Wortmann, S.B. ; Mayr, J.H. ; Ardissone, A. ; Iuso, A.

Generation of two human iPSC lines from fibroblasts of BPAN patients carrying pathogenic variants in the WDR45 gene.
Nat. Commun. 16:11282 (2025)

Pauli, J. ; Garger, D. ; Peymani, F. ; Wettich, J. ; Sachs, N. ; Wirth, J. ; Steiger, K. ; Hillig, C. ; Zhang, H. ; Tabas, I. ; Tall, A.R. ; Li, M. ; Reilly, M.P. ; Branzan, D. ; Prokisch, H. ; Menden, M.P. ; Maegdefessel, L.

Single cell spatial transcriptomics integration deciphers the morphological heterogeneity of atherosclerotic carotid arteries.

Networks and Affiliations

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TUM

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Klinikum rechts der Isar

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The German Human Genome-Phenome Archive

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Munich Cluster for Systems Neurology

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German Network for Mitochondrial Diseases

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Contact

ING Office

Silke Baselice-Denkmann

Contact

Nathalie Schandra

Neurologist /RLS Ambulanz

Ambulanz, Klinik und Poliklinik für Neurologie der TUM