Machine Learning for Genetic Studies
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The team
Team leader: Bo
Bo Jacobsson
Information about Kristina
Felix Evers
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Julius Juodakis
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Kristina Karlsson
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Kristina Karlsson
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Nina Abersek
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Patricia Nyeboe
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Hedvig Sundelin
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Pol Solé Navais
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Karin Ytterberg
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Ylva Folkesson
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publications
Exploring the impact of parity and its interaction with history of preterm delivery on gestational duration
Published in medRxiv, 2023
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Jacobsson, Bo & Flatley, Christopher & Juodakis, Julius & Nilsson, Staffan & Solé-Navais, Pol. (2023). "Exploring the impact of parity and its interaction with history of preterm delivery on gestational duration. https://www.medrxiv.org/content/10.1101/2023.02.16.23286023v1
New genetic loci associated with gestational duration…
Published in Nature genetics, 2023
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Pol Solé-Navais, et al. (2023). " New genetic loci associated with gestational duration show a complex link with birth weight." Nat Genet. 55(1). https://www.nature.com/articles/s41588-023-01344-8
Time-varying effects are common in genetic control of gestational duration
Published in Hum Mol Genet., 2023
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Juodakis J, Ytterberg K, Flatley C, Sole-Navais P, Jacobsson B. (2023). "Time-varying effects are common in genetic control of gestational duration." Hum Mol Genet. 32(14). http://academicpages.github.io/files/paper3.pdf
research
Research Areas
Our main focus of research is to understand and describe different aspects of the preterm delivery…
Cohort Based Genetic Studies
In genome-wide association studies we investigate genetic code of thousands of mothers and their children in order to find the genes that play role in determining the duration of gestation. The knowledge of such genes can explain the biology behind the timing of birth and parturition mechanisms. In gene-environment interaction studies we try to identify women whose genetic profile makes their gestation extremely sensitive to common environmental exposures, such as caffeine intake, smoking, vitamins, microelements, probiotic products. Such women should receive personalized recommendations for their diet and supplements use during pregnancy. Our genetic team: Chris Flately, Pol Solé Navais. |
Cohort Based Genetic Studies
Short description of portfolio item number 1