Projects per year
Organisation profile
Organisation profile
Head of research group:
Who we are?
Members of the group are genome researchers, computational and molecular biologists with expertise in human genetics and genomics, biobanking, genome-wide association studies, sequencing, transcriptomics, polygenic risk scores, risk prediction and biomarkers.
Our research – what we do?
Use genetics to systematically understand the biological basis of common complex diseases and identify biological subtypes of disease. We have focus on women's reproductive health, in particular endometriosis, cardiometabolic diseases and brain disorders. We work in the interface between wet-lab and big data analysis. Our goal is to turn genetic findings into personalised medicine and benefits patients.
How does our research contribute to societal health challenges?
Despite a high prevalence and socio-economic burden, women’s reproductive disorders remain underfunded and consequently under-researched. Many disorders, such as endometriosis and repeated pregnancy loss affects women during the prime years of their lives, causing problems for the women and their families as well as loss of productivity for the society. By developing molecular predictors and decision support tools within women's health our research contributes to increased equity in health and society.
Who are our key collaborators?
National and International research institutions
- Aarhus University
- Aarhus University Hospital
- Copenhagen University
- Technical University of Denmark
- Hvidovre Hospital
- University of Southern Denmark
- University of San Francisco, Oxford Big Data Institute
- University of Calgary
- University College London
- Oxford University.
Consortia and cohorts
- Danish Blood Donor Genomic Consortium (co-PI)
- Copenhagen Hospital Biobank (CHB)
- UK Biobank
- Biobank Rare Variant Analysis (BRaVa) consortium (Danish co-PI)
- Nordic Consortium of Womens Reproductive Health (NCWRH) (co-chair)
- International Endometriosis Genome Consortium (IEGC) (Danish PI)
- The Dan-NICAD (Danish Study of Non-Invasive Diagnostic Testing in Coronary Artery Disease) group
Industry
- PrecisionLife
- deCODE genetics
- Novo Nordisk
Fingerprint
Collaborations from the last five years
Profiles
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The Deadly, the Deleterious, and the Dangerous – Decoding the Differential Pathogenicity among CALM1, CALM2, and CALM3
Christiansen, S. N. N., Nyegaard, M., Overgaard, M. T., Schierup, M. H., Tfelt-Hansen, J. & Schwartz, P. J.
01/07/2024 → 30/06/2026
Project: Research
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Understanding the Genetic Architecture of Common Complex Diseases
01/07/2023 → 30/06/2025
Project: Research
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SURVIVE Unravelling endocrine mechanisms to improve maternal health and increase fetal survival
01/01/2023 → 31/12/2026
Project: Research
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A Genetic Analysis of Current Medication Use in the UK Biobank
Rohde, P. D., 20 Mar 2024, In: Journal of Personalized Medicine. 14, 3, 319.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile10 Downloads (Pure) -
A genome‑wide association study of social trust in 33,882 Danish blood donors
Burgos Sequeros, C., Folkmann Hansen, T., Westergaard, D., Louloudis, I., Kalamajski, S., Röder, T., Rohde, P. D., Schwinn, M., Harder Clemmensen, L., Didriksen, M., Nyegaard, M., Hjalgrim, H., René Nielsen, K., Topholm Bruun, M., Rye Ostrowski, S., Erikstrup, C., Mikkelsen, S., Sørensen, E., DBDS Genomic Consortium, Birger Vestager Pedersen, O., & 3 others , 16 Jan 2024, In: Scientific Reports. 14, 1, p. 1-12 12 p., 1402.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile16 Downloads (Pure) -
Biomarkers for identification of high-risk coronary artery plaques in patients with suspected coronary artery disease
Pedersen, G., Dahl, J. N., Rasmussen, L. D., Garm Blavnsfeldt, A-B., Böttcher, S. H., Böttcher, M. H., Nyegaard, M., Nissen, L. & Winther, S., Sept 2024, In: Journal of Cardiovascular Computed Tomography. 18, 5, p. 467-475 9 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)
Datasets
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Additional file 2 of Predicting the presence of coronary plaques featuring high-risk characteristics using polygenic risk scores and targeted proteomics in patients with suspected coronary artery disease
Møller, P. L. (Creator), Rohde, P. D. (Creator), Dahl, J. N. (Creator), Rasmussen, L. D. (Creator), Nissen, L. (Creator), Schmidt, S. (Creator), McGilligan, V. (Creator), Gudbjartsson, D. F. (Creator), Stefansson, K. (Creator), Holm, H. (Creator), Bentzon, J. F. (Creator), Bøttcher, M. (Creator), Winther, S. (Creator) & Nyegaard, M. (Creator), Figshare, 15 Aug 2024
DOI: 10.6084/m9.figshare.25449091, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Predicting_the_presence_of_coronary_plaques_featuring_high-risk_characteristics_using_polygenic_risk_scores_and_targeted_proteomics_in_patients_with_suspected_coronary_artery_disease/25449091
Dataset
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Additional file 2 of Predicting the presence of coronary plaques featuring high-risk characteristics using polygenic risk scores and targeted proteomics in patients with suspected coronary artery disease
Møller, P. L. (Creator), Rohde, P. D. (Creator), Dahl, J. N. (Creator), Rasmussen, L. D. (Creator), Nissen, L. (Creator), Schmidt, S. (Creator), McGilligan, V. (Creator), Gudbjartsson, D. F. (Creator), Stefansson, K. (Creator), Holm, H. (Creator), Bentzon, J. F. (Creator), Bøttcher, M. (Creator), Winther, S. (Creator) & Nyegaard, M. (Creator), Figshare, 15 Aug 2024
DOI: 10.6084/m9.figshare.25449091.v1, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Predicting_the_presence_of_coronary_plaques_featuring_high-risk_characteristics_using_polygenic_risk_scores_and_targeted_proteomics_in_patients_with_suspected_coronary_artery_disease/25449091/1
Dataset
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Data from: The Drosophila Genetic Reference Panel (DGRP) on locomotor activity across different environmental conditions
Krog Noe, N. (Creator), Rohde, P. D. (Creator), Sørensen, P. (Creator) & Kristensen, T. N. (Creator), Dryad, 14 Feb 2024
DOI: 10.5061/dryad.fxpnvx10n, https://datadryad.org/stash/dataset/doi:10.5061/dryad.fxpnvx10n
Dataset
Activities
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Prediction of high-risk plaques in coronary heart disease using genetics and targeted proteomics
Palle Duun Rohde (Lecturer)
3 Nov 2022Activity: Talks and presentations › Conference presentations
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Medlem af bedømmelsesudvalg PhD Anne Krogh Nøhr (Event)
Mette Nyegaard (Chairperson)
1 Jul 2022Activity: Memberships › Membership of review committee
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Genetic superheroes carry key information to prevention of cardiovascular disease
Mette Nyegaard (Lecturer)
4 Jun 2022Activity: Talks and presentations › Talks and presentations in private or public companies
Press/Media
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Kvindesygdomme lever i skyggen Forskning er ramt af ulighed - Erektion trumfer underlivssmerter
19/08/2024
1 item of Media coverage
Press/Media: Press / Media
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Sygdommen blev kaldt ''en del af at være kvinde”. Nu taler forskere om et gennembrud
31/07/2024
1 item of Media coverage
Press/Media: Press / Media
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Debat: Ny forskning sker i udlandet, ikke her, selvom vi nok ville kunne gøre det bedre
26/06/2024 → 27/06/2024
2 items of Media coverage
Press/Media: Press / Media
Impacts
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Research into genetic defect can pardon Australian woman
Helene Halkjær Jensen (Participant), Malene Brohus (Participant), Michael Toft Overgaard (Participant) & Mette Nyegaard (Participant)
Impact: Social impact