Ingrid Kockum

Ingrid Kockum

Professor
E-postadress: ingrid.kockum@ki.se
Besöksadress: L8:05, CMM Karolinska Universitetssjukhuset Solna, 17176 Stockholm
Postadress: K8 Klinisk neurovetenskap, K8 Neuro Kockum, 171 77 Stockholm
Del av:

Om mig

  • Du kan nå mig per telefon: +46 76 7808001.

    Professor i genetisk epidemiologi med fokus på multipel skleros, 2016.

    Studierektor för forskarutbildningen vid Institutionen för klinisk neurovetenskap, Karolinska Institutet, 2019 pågående.

    Vice ordförande för Nordic Society for Human Genetics and Precision Medicine.

    Har för närvarande forskningsfinansiering från Vetenskapsrådet, Horizon Europe, Hjärnfonden, Pfizer, Region Stockholm (ALF), Åke Wibergs stiftelse och Karolinska Institutet.

    Är för närvarande huvudhandledare för två doktorander och bihandledare för tre doktorander.

    Professor Ingrid Kockum växte upp på en gård i Skåne i södra Sverige. Hon avslutade sina grundläggande universitets studier 1989 vid Newnham College, Cambridge Universitet, Storbritannien, i naturvetenskap med inriktning på zoologi och med fokus på molekylärbiologi.

    Hon påbörjade sina doktorandstudier i immunogenetik av typ 1-diabetes vid Lunds universitet, Sverige, och University of Washington i Seattle, USA, men försvarade sin avhandling vid Karolinska Institutet 1995. Hon fortsatte sin forskning om genetik kopplad till typ 1-diabetes som postdoktor vid Wellcome Trust Centre for Human Genetics, Oxford University, Storbritannien (1996–1997) och vid Karolinska Institutet, nu med fokus på rollen av gener utanför MHC-regionen.

    Mellan 2001 och 2005 ledde hon forskargruppen för multifaktoriell sjukdomsgenetik vid Institutionen för molekylär medicin och kirurgi vid Karolinska Institutet och studerade genetiken bakom typ 1-diabetes, atopisk dermatit, bipolär sjukdom och alkoholism. År 2006 började hon vid Neuroimmunologiska enheten på Institutionen för klinisk neurovetenskap och ändrade då fokus för sin forskning till genetisk epidemiologi av multipel skleros. Sedan 2014 leder hon forskargruppen för genetisk epidemiologi inom multipel skleros. År 2007 blev hon docent i genetik. Mellan 2017 och 2023 koordinerade hon det Horizon 2020-finansierade projektet MultipleMS (https://www.multiplems.eu/). För närvarande koordinerar hon det Horizon Europe-finansierade projektet WISDOM (https://wisdomhorizon.eu/).

    Utbildning
    • BA (2-1 hon) Natural Sciences (cell- och molekylärbiologi), University of Cambridge, Storbritannien, 1989
    • PhD "Population-based analysis of the HLA associated risk for IDDM", Karolinska Institutet, 1995
    • Docent i genetik, Karolinska Institutet, 2007

Forskningsbeskrivning

  • During the most recent years Ingrid’s research has focused on

    - identification of novel genetic susceptibility variants for multiple sclerosis conducted in collaboration with IMSGC and deCODE genetics
    - identification of genetic control of severity/progression of MS which also including investigating novel ways of measuring severity of MS
    - identification of interactions between genetic and lifestyle risk factors for MS
    - study of the role of viral infections in MS
    - identification of novel protein biomarkers for MS
    - precision medicine for multiple sclerosis including modeling of MS risk and prognosis of MS

Artiklar

Alla övriga publikationer

Forskningsbidrag

  • Deciphering Multiple Sclerosis: A Data-Intensive Approach to Unraveling Clinical and Molecular Complexities through Graph and Language Modeling
    The SciLifeLab and Wallenberg National Program for Data-Driven Life Science
    1 May 2026 - 30 April 2030
  • Improving prediction of multiple sclerosis, algorithmic approaches and biomarkers
    Region Stockholm ALF Medicin
    1 January 2026 - 31 December 2028
    Multiple Sclerosis (MS), a complex autoimmune disorder affecting mainly young adults, with a higher prevalence in women. Its diverse symptoms and inherent progression complexity hinder early detection and personalized prognostic evaluations. This proposal aspires to enhance health outcomes, elucidate MS’s intricate mechanisms, and reduce neurological disabilities through innovative, transformative methodologies. The objective is to develop advanced predictive models by harnessing extensive multimodal data, facilitating early detection, and personalized interventions. The project is organized in 4 different but interconnected tasks and will run for 3 years. We will integrate clinical, lifestyle, and 'omics' data. By targeting the prodromal phase of MS, we aspire to devise impactful intervention strategies and project disease progression, with Artificial Intelligence (AI) serving as the cornerstone for analyzing data. We will test the MS prediction among first degree relatives. We will also identify biomarkers for MS risk. A special focus will be on role of sex hormones. Employing advanced analytical techniques, network theories, autoencoders and deep learning, we will probe the multifaceted nature of MS using one of the world’s leading MS-specific databases. This will contribute to earlier diagnosis of MS and opening up for reduction of the disease by personalized changes in lifestyle and possibly preventative treatments in the future.
  • Swedish Research Council
    1 January 2026 - 31 December 2028
    Multiple sclerosis (MS) is common among young adults. Serious neurological deficits evolve. There are efficient treatments, but with risks. Progressive disease ensues despite treatments. Development of precise treatments is hampered by insufficient knowledge of the pathogenesis. Autoimmunity to the central nervous system (CNS) tissue is a likely mechanism, perhaps triggered by molecular mimicry to pathogens like Epstein Barr virus (EBV), along with other lifestyle/environmental factors. They interact with MS disposing genes. We will: 1) determine how molecular mimicry between MS associated pathogens may lead to and perhaps perpetuate MS. 2) Establish the relevance of viral cross-reactive immune responses to central nervous system (CNS) tissue antigens by extensively characterizing their frequency, function and pathogenicity. 3) Identify novel autoantigenic targets of pathogenic immune responses, not necessarily resulting from pathogen molecular mimicry. 4) Test the CNS inflammatory pathogenic potential of selected mimicry antigens, and other novel autoantigens in mouse models experimental autoimmune encephalomyelitis (EAE). 5) Use spatial transcriptomics, to localize target autoantigens and their expression in MS brains/lesions, healthy human brains and in EAE. 6) The Epstein Barr virus1, EBNA1 molecule has a central role in molecular mimicry and viral replication. We therefore will construct a mouse transgenic model for immune and therapeutic studies.
  • PREDICT- Prospective study to develop a disease-risk stratification model in a cohort of relatives of MS patients
    Åke Löwnertz Stiftelse för Neurologisk Forskning
    1 January 2026 - 31 December 2026
  • Swedish Research Council
    1 January 2025 - 31 December 2028
    Multiple Sclerosis (MS), a complex autoimmune disorder affecting mainly young adults, with a higher prevalence in women. Its diverse symptoms and inherent progression complexity hinder early detection and personalized prognostic evaluations. This proposal aspires to enhance health outcomes, elucidate MS’s intricate mechanisms, and reduce neurological disabilities through innovative, transformative methodologies.The objective is to develop advanced predictive models by harnessing extensive multimodal data, facilitating early detection, and personalized interventions. The project is organized in 6 different but interconnected tasks and will run for 5 years. We will integrate clinical, lifestyle, and ´omics´ data. By targeting the prodromal phase of MS, we aspire to devise impactful intervention strategies and project disease progression, with Artificial Intelligence (AI) serving as the cornerstone for analyzing data. We will test the MS prediction among first degree relatives. We will also identify biomarkers for MS risk and severity and genetic factors associated with MS severity. A special focus will be on role of sex hormones.Employing advanced analytical techniques, network theories, autoencoders and deep learning, we will probe the multifaceted nature of MS using one of the world’s leading MS-specific databases. This will contribute to more comprehensive and individualized MS treatment approaches.
  • Swedish Research Council
    1 January 2025 - 31 December 2027
    Multiple sclerosis (MS) is the leading cause of non-traumatic neurological disability in young adults in Europe. The etiology is unclear. Twin studies suggest that environment and/or lifestyle play a crucial etiological role. We have initiated a population-based case-control study, called EIMS, where individual and environmental factors are investigated systematically with concomitant genetic information. Newly diagnosed cases of MS and randomly chosen controls are identified and asked about e.g. socio-demographic factors, lifestyle/environmental factors, sunlight exposure, hormonal factors, vaccinations, infections, atopic disease, trauma, various work-related exposures and psychosocial factors. For both cases and controls blood samples are taken for genetic analysis since environmental exposure probably contributes to disease only in individuals with certain genotypes. Cases are followed regarding course of disease. Today, data from 4300 cases and 7200 controls have been gathered and so far very interesting and important findings have emerged. If environmental and/or lifestyle factors can be identified as contributing causes to the onset- or course of MS, this will enable preventive measures, which can lead to important gains regarding health, working life and economics, both on the individual and societal level. Funds are sought for collection of data, analysis of a set of factors that have not yet been explored and in-depth analyzes of previously identified factors.
  • Unlocking the therapeutic potential of EBV in MS
    Pfizer (United States)
    1 January 2025 - 31 December 2026
  • Deep-learning methods for risk and heterogeneity in MS
    Hjärnfonden
    1 July 2024 - 30 June 2026
    We will use the recent developments of deep-learning autoencoders on genetic data to identify ancestral origin of individuals and will test if they are better than current methods for identifying persons at risk of developing multiple sclerosis (MS). We will apply the methods to identify subgroups of MS patients with different clinical characteristics. We will also aim to identify novel biomarkers for MS severity which will enable faster identification of patients with severe disease leading to more efficient use of available treatment options and better quality of life for patients
  • European Commission
    1 December 2023 - 30 November 2028
    Enabling integration of medical and research data, secure data sharing and leveraging responsible state-of-the-art artificial intelligence (AI)-mediated models opens immense possibilities to mitigate the impact of chronic immune-mediated diseases (CIMDs) affecting 10% of Europeans. Eight European universities, leaders in the medical and analytical field, three SMEs, one research institute and one company, at the forefront of clinical AI implementation, data infrastructure, and security, and a Patient Organisation formed the consortium WISDOM. The consortium's overarching aim is to convert complex biological information from the existing data sources into actionable insights. WISDOM builds on the premise that computational tools can provide valuable knowledge and guide decision-making at critical stages in the individual patient journey, from diagnosis to treatment initiation and optimisation. To unlock the potential of the existing data, WISDOM will address barriers of data integration and accessibility and deploy novel approaches for data processing, harmonisation, integration, and secure, trustworthy data sharing with federated access. WISDOM aims to develop computational risk stratification and outcome prediction models and tools in different CIMD use cases, building on large EU-funded multimodal datasets, and prospectively validate them on technical, clinical and user aspects to facilitate data-driven and patient-focused diagnosis, treatment, and monitoring. WISDOM aims to promote the widespread utilisation of data and facilitate responsible and critical assessment of the use of AI in healthcare using an end-user guided approach leveraging collaboration among clinicians, researchers, legal and AI experts, patient associations and rich stakeholder expertise. WISDOM’s ultimate ambition is to revolutionise the integration, management, and analysis of health data across diseases and borders to promote personalised interventions and well-being.
  • Swedish Research Council
    1 January 2023 - 31 December 2025
  • Genetic and protein biomarkers for severity of multiple sclerosis
    Karolinska Institutet
    1 October 2022 - 30 September 2026
    The overall aim of this study is to identify genetic polymorphisms associated with severity and progression of Multiple Sclerosis (MS) and biomarkers of MS and MS severity. The long-term goal is to identify biological processes that control severity in MS, which will allow identification of target molecules for novel treatments of the progressive MS phase. Identification of biomarkers for early detection of MS and those who are at risk of developing severe disease will improve the use of current treatments.
  • Analysis of pathogenic variants in the galactosylceramidase gene in patients with diagnosed primary progressive multiple sclerosis. A collaboartive study with Neurogene INC
    Neurogene INC
    1 January 2022 - 31 December 2023
  • Genetic and lifestyle data applied to disentangling Multiple Sclerosis susceptibility and prognosis in order to accelerate personalized medicine
    Åke Löwnertz Stiftelse för Neurologisk Forskning
    1 January 2022 - 31 December 2022
  • Genetiska och protein biomarkörer för risk och svårighetsgrad av multipe skleros för applikation till skräddarsydd behandling
    Region Stockholm ALF Medicin
    1 January 2022 - 31 December 2024
  • VINNOVA
    15 November 2021 - 31 January 2022
  • Genetiska och protein biomarkörer för risk och svårighetsgrad av multipe skleros
    Hjärnfonden
    1 July 2021 - 30 June 2023
  • Swedish Research Council
    1 January 2021 - 31 December 2024
  • Swedish Research Council
    1 January 2021 - 31 December 2024
  • Swedish Research Council for Health Working Life and Welfare
    1 January 2021 - 31 December 2024
  • Early detection of multiple sclerosis patients using combined genetic, lifestyle and social environment risk score
    Genomics Medicine Sweden
    1 January 2021 - 31 December 2022
  • Visa fler

Anställningar

  • Professor, Klinisk neurovetenskap, Karolinska Institutet, 2016-

Examina och utbildning

  • Docent, Genetik, Karolinska Institutet, 2007

Uppdrag

  • Programdirektor, Studierektor för forskarutbildning, Institutionen för klinisk neurovetenskap, Karolinska Institutet, 2019-

Handledning

Nyheter från KI

Kalenderhändelser från KI