J
Jon Bohlin
Researcher at Norwegian Institute of Public Health
Publications - 93
Citations - 3073
Jon Bohlin is an academic researcher from Norwegian Institute of Public Health. The author has contributed to research in topics: Genome & Population. The author has an hindex of 25, co-authored 82 publications receiving 2131 citations. Previous affiliations of Jon Bohlin include Technical University of Denmark & Norwegian University of Life Sciences.
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Journal ArticleDOI
Rapid scoring of genes in microbial pan-genome-wide association studies with Scoary.
TL;DR: Scoary is introduced, an ultra-fast, easy-to-use, and widely applicable software tool that scores the components of the pan-genome for associations to observed phenotypic traits while accounting for population stratification, with minimal assumptions about evolutionary processes.
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Statistical predictions with glmnet.
TL;DR: In this paper, the authors provide guidelines on how to obtain parsimonious models with low mean squared error and include easy-to follow walk-through examples for each step in R.
Journal ArticleDOI
Maternal plasma folate impacts differential DNA methylation in an epigenome-wide meta-analysis of newborns.
Bonnie R. Joubert,Herman T. den Dekker,Janine F. Felix,Jon Bohlin,Symen Ligthart,Emma L. Beckett,Emma L. Beckett,Henning Tiemeier,Joyce B. J. van Meurs,André G. Uitterlinden,Albert Hofman,Siri E. Håberg,Sarah E. Reese,Marjolein J. Peters,Bettina Kulle Andreassen,Eric A.P. Steegers,Roy Miodini Nilsen,Stein Emil Vollset,Stein Emil Vollset,Øivind Midttun,Per Magne Ueland,Per Magne Ueland,Oscar H. Franco,Abbas Dehghan,Johan C. de Jongste,Michael C. Wu,Tianyuan Wang,Shyamal D. Peddada,Vincent W. V. Jaddoe,Wenche Nystad,Liesbeth Duijts,Stephanie J. London +31 more
TL;DR: This work examines the association between maternal plasma folate during pregnancy and epigenome-wide DNA methylation using Illumina's HumanMethyl450 Beadchip in 1,988 newborns from two European cohorts and reports the combined covariate-adjusted results using meta-analysis and pathway and gene expression analyses.
Journal ArticleDOI
Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium
Gemma C Sharp,Gemma C Sharp,Lucas A. Salas,Lucas A. Salas,Claire Monnereau,Claire Monnereau,Catherine Allard,Paul Yousefi,Todd M. Everson,Jon Bohlin,Zongli Xu,Rae-Chi Huang,Sarah E. Reese,Cheng-Jian Xu,Nour Baïz,Cathrine Hoyo,Golareh Agha,Ritu Roy,Ritu Roy,John W. Holloway,Akram Ghantous,Simon Kebede Merid,Kelly M. Bakulski,Leanne K. Küpers,Hongmei Zhang,Rebecca C Richmond,Christian M. Page,Liesbeth Duijts,Liesbeth Duijts,Rolv T. Lie,Phillip E. Melton,Judith M. Vonk,Ellen A. Nohr,ClarLynda R. Williams-DeVane,Karen Huen,Sheryl L. Rifas-Shiman,Carlos Ruiz-Arenas,Semira Gonseth,Semira Gonseth,Faisal I. Rezwan,Zdenko Herceg,Sandra Ekström,Lisa A. Croen,Fahimeh Falahi,Patrice Perron,Margaret R. Karagas,Bilal M. Quraishi,Matthew Suderman,Maria C. Magnus,Maria C. Magnus,Vincent W. V. Jaddoe,Vincent W. V. Jaddoe,Jack A. Taylor,Jack A. Taylor,Denise Anderson,Shanshan Zhao,Henriette A. Smit,Michele J. Josey,Michele J. Josey,Asa Bradman,Andrea A. Baccarelli,Mariona Bustamante,Siri E. Håberg,Göran Pershagen,Göran Pershagen,Irva Hertz-Picciotto,Craig J. Newschaffer,Eva Corpeleijn,Luigi Bouchard,Debbie A Lawlor,Rachel L. Maguire,Lisa F. Barcellos,George Davey Smith,Brenda Eskenazi,Wilfried Karmaus,Carmen J. Marsit,Marie-France Hivert,Marie-France Hivert,Harold Snieder,M. Daniele Fallin,Erik Melén,Erik Melén,Erik Melén,Monica Cheng Munthe-Kaas,Monica Cheng Munthe-Kaas,S. Hasan Arshad,S. Hasan Arshad,Joseph L. Wiemels,Isabella Annesi-Maesano,Martine Vrijheid,Emily Oken,Nina Holland,Susan K. Murphy,Thorkild I. A. Sørensen,Thorkild I. A. Sørensen,Thorkild I. A. Sørensen,Gerard H. Koppelman,John P. Newnham,Allen J. Wilcox,Wenche Nystad,Stephanie J. London,Janine F. Felix,Janine F. Felix,Caroline L Relton +103 more
TL;DR: In this article, the association between pre-pregnancy maternal BMI and methylation at over 450,000 sites in newborn blood DNA, across 19 cohorts (9,340 mother-newborn pairs).
Journal ArticleDOI
Prediction of gestational age based on genome-wide differentially methylated regions
Jon Bohlin,Siri E. Håberg,Per Magnus,Sarah E. Reese,Håkon K. Gjessing,Maria C. Magnus,Christine L. Parr,Christian M. Page,Stephanie J. London,Wenche Nystad +9 more
TL;DR: DNA methylation at birth appears to be a good predictor of gestational age, and Ultrasound Gestational age is more strongly associated with methylation than last menstrual period gestational Age.