H
Henry Wiersma
Researcher at University Medical Center Groningen
Publications - 8
Citations - 88
Henry Wiersma is an academic researcher from University Medical Center Groningen. The author has contributed to research in topics: Cohort & Medicine. The author has an hindex of 2, co-authored 5 publications receiving 19 citations.
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Journal ArticleDOI
Gender differences in the mental health impact of the COVID-19 lockdown: Longitudinal evidence from the Netherlands.
A. Vloo,Rob Alessie,J.O. Mierau,Marike Boezen,Jochen O. Mierau,Lude Franke,Jackie A M Dekens,Patrick Deelen,Pauline Lanting,Judith M. Vonk,Ilja M. Nolte,Anil P.S. Ori,Annique Claringbould,Floranne Boulogne,Marjolein X.L. Dijkema,Henry Wiersma,Robert Warmerdam,Soesma A Jankipersadsing +17 more
TL;DR: In this paper, the authors found significant gender differences in mental health during the lockdown, where women experienced more depression symptoms and disorders and men experienced more anxiety symptoms and disorder stemming from the lockdown.
Journal ArticleDOI
Lifelines COVID-19 cohort: investigating COVID-19 infection and its health and societal impacts in a Dutch population-based cohort.
Katherine Mc Intyre,Pauline Lanting,Patrick Deelen,Patrick Deelen,Henry Wiersma,Judith M. Vonk,Anil P.S. Ori,Soesma A Jankipersadsing,Robert Warmerdam,Irene V. van Blokland,Floranne Boulogne,Marjolein X.L. Dijkema,Johanna C. Herkert,Annique Claringbould,Olivier B. Bakker,Esteban A Lopera Maya,Ute Bültmann,Alexandra Zhernakova,Sijmen A. Reijneveld,Elianne Zijlstra,Morris A. Swertz,Sandra Brouwer,Raun van Ooijen,Viola Angelini,Louise H. Dekker,Louise H. Dekker,Anna Sijtsma,Sicco A. Scherjon,Cisca Wijmenga,Jackie A M Dekens,Jochen O. Mierau,H. Marike Boezen,Lude Franke +32 more
TL;DR: The Lifelines COVID-19 cohort as discussed by the authors was set up to assess the psychological and societal impacts of the COVID19 pandemic and investigate potential risk factors within the Lifelines prospective population cohort.
Posted ContentDOI
The Lifelines COVID-19 Cohort: a questionnaire-based study to investigate COVID-19 infection and its health and societal impacts in a Dutch population-based cohort
Kate Mc Intyre,Pauline Lanting,Patrick Deelen,Patrick Deelen,Henry Wiersma,Judith M. Vonk,Anil P.S. Ori,Soesma A Jankipersadsing,Robert Warmerdam,Irene V. van Blokland,Floranne Boulogne,Marjolein X.L. Dijkema,Johanna C. Herkert,Annique Claringbould,Olivier B. Bakker,Esteban A Lopera Maya,Ute Bültmann,Alexandra Zhernakova,Sijmen A. Reijneveld,Elianne Zijlstra,Morris A. Swertz,Sandra Brouwer,Raun van Ooijen,Viola Angelini,Louise H. Dekker,Louise H. Dekker,Anna Sijtsma,Sicco A. Scherjon,Jackie A M Dekens,Jochen O. Mierau,H. Marike Boezen,Lude Franke +31 more
TL;DR: Data collected by the questionnaires will be used to address four aspects of the outbreak: how the COVID-19 pandemic developed in the three northern provinces of the Netherlands, which environmental risk factors predict disease susceptibility and severity, which genetic risk Factors predict disease susceptible and severity and what are the psychological and societal impacts of the crisis.
Posted ContentDOI
Linking common and rare disease genetics through gene regulatory networks
Olivier B. Bakker,Annique Claringbould,Harm-Jan Westra,Henry Wiersma,Floranne Boulogne,Urmo Võsa,Sophie Mulcahy Symmons,Iris Jonkers,Lude Franke,Patrick Deelen +9 more
TL;DR: In this paper, the authors demonstrate that common and rare genetic diseases can be linked by studying the gene regulatory networks impacted by common disease-associated variants, and they implemented this in the downstreamer method and applied it to 44 GWAS traits and find that predicted downstream "key genes" are enriched with Mendelian disease genes.
Posted ContentDOI
KidneyNetwork: Using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease
Floranne Boulogne,Laura R. Claus,Henry Wiersma,Roy Oelen,Floor Schukking,Niek de Klein,Shuang Li,Harm-Jan Westra,Bert van der Zwaag,Franka E. van Reekum,Dana Sierks,Ria Schönauer,Jan Halbritter,Nine V A M Knoers,Patrick Deelen,Patrick Deelen,Lude Franke,Albertien M. van Eerde +17 more
TL;DR: The added value of KidneyNetwork is shown by applying it to kidney disease patients without a molecular diagnosis and consequently, ALG6 is proposed as candidate gene in one of these patients.