Projects per year
Personal profile
Research profile
My hope is that through our work we can contribute to the development of precision medicine that in the future will be of great importance for the patients.
My scientific focus areas are:
Quantitative genetic analysis of complex traits and human diseases. Developing, implementing and applying strategies for integrating prior biological knowledge across databases, studies and organisms for understanding the biology of multifactorial phenotypes. Using large-scale biobank data to better understand how genomic scores (and other omics-derived scores) can aid in precision health as its provide information about an individuals’ genetic risk and how it can be used for decision making in health care systems. Contributing in software implementation of statistical and genetic models for identifying genetic (risk) factors and prediction of complex traits (including diseases): https://github.com/psoerensen/qgg and www.qganalytics.com.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Biology, PhD in quantitative and statistical genetics, Dissecting the genetic variation of schizophrenia and ADHD using an integrative genomic approach, Center for Quantitative Genetics and Genomics, Aarhus University
Award Date: 12 Dec 2017
External positions
Department of Obstetrics and Gynecology, Hvidovre Hospital
15 Dec 2022 → 31 Dec 2024
Dansk Hovedpinecenter, Afdeling for Hjerne- og Nervesygdomme, Rigshospitalet – Glostrup, Region Hovedstaden
18 May 2022 → 31 Dec 2024
Keywords
- Biomedicine
- Mathematics and Statistics
- Medicine
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Collaborations from the last five years
Dive into details by clicking on the dots.
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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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FEMaLe: Finding Endometriosis Using Machine Learning H2020
Nyegaard, M., Rohde, P. D. & Koldby, K. M.
01/01/2021 → 31/12/2024
Project: Research
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BALDER: Bayesian AnaLysis of Diabetes for Enhanced biomarkeR and drug target identification
01/11/2021 → 01/11/2023
Project: Research
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Polygenic Risk Score Prediction for Endometriosis
Kløve-Mogensen, K., Rohde, P. D., Twisttmann, S., Nygaard, M., Koldby, K. M., Steffensen, R., Møller Dahl, C., Rytter, D., Overgaard, M. T., Forman, A., Christiansen, L. & Nyegaard, M., 17 Dec 2021, In: Frontiers in Reproductive Health. 3, 8 p., 793226.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile3 Citations (Scopus)63 Downloads (Pure) -
Multi-Trait Genomic Risk Stratification for Type 2 Diabetes
Rohde, P. D., Nyegaard, M., Kjølby, M. F. & Sørensen, P., 8 Sept 2021, In: Frontiers in Medicine. 8, 11 p., 711208.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile5 Citations (Scopus)35 Downloads (Pure) -
Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes
Rohde, P. D., Demontis, D., Castro Dias Cuyabano, B., Børglum, A. & Sørensen, P., 1 Aug 2016, In: Genetics (Print). 203, 4, p. 1901-1913 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
30 Citations (Scopus) -
Prediction of complex phenotypes using the Drosophila melanogaster metabolome
Rohde, P. D., Kristensen, T. N., Sarup, P. M., Muñoz, J. & Malmendal, A., 2021, In: Heredity. 126, 5, p. 717–732 16 p.Research output: Contribution to journal › Journal article › Research › peer-review
4 Citations (Scopus) -
Genetic Signatures of Drug Response Variability in Drosophila melanogaster
Rohde, P. D., Ravnborg Jensen, I., Sarup, P. M., Ørsted, M., Demontis, D., Sørensen, P. & Kristensen, T. N., 2019, In: Genetics. 213 , 2, p. 633-650 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
Open Access7 Citations (Scopus)
Datasets
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Supplementary Material for Rohde et al., 2019
Rohde, P. D. (Creator), Jensen, I. R. (Creator), Sarup, P. M. (Creator), Ørsted, M. (Creator), Demontis, D. (Creator), Sørensen, P. (Creator) & Kristensen, T. N. (Creator), GSA Journals, 10 Sept 2019
DOI: 10.25386/genetics.9368636.v4, https://gsajournals.figshare.com/articles/Supplementary_Material_for_Rohde_et_al_2019/9368636/4
Dataset: Supplementary material
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Supplementary Material for Rohde et al., 2019
Rohde, P. D. (Creator), Jensen, I. R. (Creator), Sarup, P. M. (Creator), Ørsted, M. (Creator), Demontis, D. (Creator), Sørensen, P. (Creator) & Kristensen, T. N. (Creator), GSA Journals, 2019
DOI: 10.25386/genetics.9368636, https://gsajournals.figshare.com/articles/Supplementary_Material_for_Rohde_et_al_2019/9368636
Dataset: Supplementary material
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Supplementary Material for Rohde et al., 2019
Rohde, P. D. (Creator), Jensen, I. R. (Creator), Sarup, P. M. (Creator), Ørsted, M. (Creator), Demontis, D. (Creator), Sørensen, P. (Creator) & Kristensen, T. N. (Creator), GSA Journals, 2019
DOI: 10.25386/genetics.9368636.v3, https://gsajournals.figshare.com/articles/Supplementary_Material_for_Rohde_et_al_2019/9368636/3
Dataset: Supplementary material
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Supplementary Material for Rohde et al., 2019
Rohde, P. D. (Creator), Jensen, I. R. (Creator), Sarup, P. M. (Creator), Ørsted, M. (Creator), Demontis, D. (Creator), Sørensen, P. (Creator) & Kristensen, T. N. (Creator), GSA Journals, 2019
DOI: 10.25386/genetics.9368636.v1, https://gsajournals.figshare.com/articles/Supplementary_Material_for_Rohde_et_al_2019/9368636/1
Dataset: Supplementary material
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Supplementary Material for Rohde et al., 2019
Rohde, P. D. (Creator), Jensen, I. R. (Creator), Sarup, P. M. (Creator), Ørsted, M. (Creator), Demontis, D. (Creator), Sørensen, P. (Creator) & Kristensen, T. N. (Creator), GSA Journals, 2019
DOI: 10.25386/genetics.9368636.v2, https://gsajournals.figshare.com/articles/Supplementary_Material_for_Rohde_et_al_2019/9368636/2
Dataset: Supplementary material
Activities
- 1 Conference presentations
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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