Sequence variants associated with BMI affect disease risk through BMI itself

Autor: Gudmundur Einarsson, Gudmar Thorleifsson, Valgerdur Steinthorsdottir, Florian Zink, Hannes Helgason, Thorhildur Olafsdottir, Solvi Rognvaldsson, Vinicius Tragante, Magnus O. Ulfarsson, Gardar Sveinbjornsson, Audunn S. Snaebjarnarson, Hafsteinn Einarsson, Hildur M. Aegisdottir, Gudrun A. Jonsdottir, Anna Helgadottir, Solveig Gretarsdottir, Unnur Styrkarsdottir, Hannes K. Arnason, Ragnar Bjarnason, Emil Sigurdsson, David O. Arnar, Einar S. Bjornsson, Runolfur Palsson, Gyda Bjornsdottir, Hreinn Stefansson, Thorgeir Thorgeirsson, Patrick Sulem, Unnur Thorsteinsdottir, Hilma Holm, Daniel F. Gudbjartsson, Kari Stefansson

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)

Abstract Mendelian Randomization studies indicate that BMI contributes to various diseases, but it’s unclear if this is entirely mediated by BMI itself. This study examines whether disease risk from BMI-associated sequence variants is mediated thro

Externí odkaz: https://doaj.org/article/831467727cde44b696a5d980963a4278

A debiasing technique for place-based algorithmic patrol management

Autor: Einarsson, Alexander, Oestmo, Simen, Wollman, Lester, Purves, Duncan, Jenkins, Ryan

In recent years, there has been a revolution in data-driven policing. With that has come scrutiny on how bias in historical data affects algorithmic decision making. In this exploratory work, we introduce a debiasing technique for place-based algorit

Externí odkaz: http://arxiv.org/abs/2401.06162

The Icelandic Heart Failure Registry—A nationwide assessment tool for HF care and intervention in HF treatment

Autor: Inga Jóna Ingimarsdóttir, Johan Sindri Hansen, Hekla María Bergmann, Hafsteinn Einarsson

Publikováno v: ESC Heart Failure, Vol 11, Iss 6, Pp 4081-4091 (2024)

Abstract Introduction The incidence of heart failure (HF) is increasing, largely because populations are both ageing and growing. Most clinical HF treatment trials are conducted on selected cohorts, only a few of which include elderly patients, among

Externí odkaz: https://doaj.org/article/3e86c037f8b848c3a2e672e4729d9b4f

Transformers significantly improve splice site prediction

Autor: Benedikt A. Jónsson, Gísli H. Halldórsson, Steinþór Árdal, Sölvi Rögnvaldsson, Eyþór Einarsson, Patrick Sulem, Daníel F. Guðbjartsson, Páll Melsted, Kári Stefánsson, Magnús Ö. Úlfarsson

Publikováno v: Communications Biology, Vol 7, Iss 1, Pp 1-9 (2024)

Abstract Mutations that affect RNA splicing significantly impact human diversity and disease. Here we present a method using transformers, a type of machine learning model, to detect splicing from raw 45,000-nucleotide sequences. We generate embeddin

Externí odkaz: https://doaj.org/article/edb255f68b4b469996e1fb41ad38a6e0

Design and Validation of a Metallic Reflectarray for Communications at True Terahertz Frequencies

Autor: Badran, Sherif, Singh, Arjun, Jaiswal, Arpit, Einarsson, Erik, Jornet, Josep M.

Publikováno v: Proceedings of the 7th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems, ser. mmNets '23, Madrid, Spain: Association for Computing Machinery, 2024, pp. 19-24

Wireless communications in the terahertz band (0.1-10 THz) is a promising and key wireless technology enabling ultra-high data rate communication over multi-gigahertz-wide bandwidths, thus fulfilling the demand for denser networks. The complex propag

Externí odkaz: http://arxiv.org/abs/2309.05813