Fiona A. Hagenbeek

Apr 26, 2024 | medrxiv.org | Gabin Drouard |Fiona A. Hagenbeek |Miina Ollikainen |Zhili Zheng

The authors have declared no competing interest. Data collection of the EH-Epi sample has been supported by the Academy of Finland (Grants 265240, 263278, 308248, 312073, 336832 to JK and 297908 to MO) and the Sigrid Juselius Foundation (to MO). We want to acknowledge the participants and investigators of FinnGen study.

Apr 16, 2024 | medrxiv.org | Fiona A. Hagenbeek |René Pool |Erik A. Ehli |Meike Bartels

The authors have declared no competing interest. The current work is supported by the Consortium on Individual Development (CID) and the "Aggression in Children: Unraveling gene-environment interplay to inform Treatment and InterventiON strategies" project (ACTION). CID is funded through the Gravitation Program of the Dutch Ministry of Education, Culture, and Science and the Netherlands Organization for Scientific Research (NWO grant number 024-001-003).

Mar 6, 2024 | nature.com | Minna K. Karjalainen |Eeva Sliz |Elias Allara |Weihua Zhang |Pekka Jousilahti |Kati Kristiansson | +46 more

AbstractGenome-wide association analyses using high-throughput metabolomics platforms have led to novel insights into the biology of human metabolism1,2,3,4,5,6,7. This detailed knowledge of the genetic determinants of systemic metabolism has been pivotal for uncovering how genetic pathways influence biological mechanisms and complex diseases8,9,10,11.

Jun 9, 2023 | biorxiv.org | Anna Niehues |Fiona A. Hagenbeek |Purva Kulkarni |Casper de Visser

Thank you for your interest in spreading the word about bioRxiv. NOTE: Your email address is requested solely to identify you as the sender of this article. Your Email * Your Name * Send To * Enter multiple addresses on separate lines or separate them with commas. Message Subject (Your Name) has forwarded a page to you from bioRxiv Message Body (Your Name) thought you would like to see this page from the bioRxiv website.

May 15, 2023 | nature.com | Dmitry Kuznetsov |Fiona A. Hagenbeek |Jana S. Hirzinger |Sophie Breunig |Susanne Bruins |Kirsten Schut | +1 more

Classic twin designThe classical twin design compares the resemblance of MZ and DZ twins for univariate or multivariate traits to estimate heritability and genetic correlations among phenotypes (a glossary of key terms is provided in Box 1).