Literature DB >> 31975153

Genetic Variation and Response to Neurocritical Illness: a Powerful Approach to Identify Novel Pathophysiological Mechanisms and Therapeutic Targets.

Julián N Acosta1, Stacy C Brown1, Guido J Falcone2.   

Abstract

Disease-specific therapeutic options for critically ill neurological patients are limited. The identification of new preventive, therapeutic, and rehabilitation strategies is of the utmost importance in the field of neurocritical care research. Population genetics offers powerful tools to identify and prioritize biological pathways to be targeted by novel interventions. New treatments with supportive genetic evidence have twice the chances of obtaining final FDA approval compared to those without this support. Large collaborations, public access to data, reproducible science, and innovative analytical methods have exponentially increased the pace of discoveries related to neurocritical care genetics.

Entities:  

Keywords:  Neurocritical care; brain injury; genetics; mortality; recovery

Mesh:

Year:  2020        PMID: 31975153      PMCID: PMC7283396          DOI: 10.1007/s13311-020-00837-2

Source DB:  PubMed          Journal:  Neurotherapeutics        ISSN: 1878-7479            Impact factor:   7.620


  38 in total

Review 1.  Assessing the function of genetic variants in candidate gene association studies.

Authors:  Timothy R Rebbeck; Margaret Spitz; Xifeng Wu
Journal:  Nat Rev Genet       Date:  2004-08       Impact factor: 53.242

Review 2.  Computational tools for prioritizing candidate genes: boosting disease gene discovery.

Authors:  Yves Moreau; Léon-Charles Tranchevent
Journal:  Nat Rev Genet       Date:  2012-07-03       Impact factor: 53.242

Review 3.  Statistical genetics with application to population-based study design: a primer for clinicians.

Authors:  Joseph Beyene; Guillaume Pare
Journal:  Eur Heart J       Date:  2013-08-15       Impact factor: 29.983

Review 4.  Hypothesis-driven candidate gene association studies: practical design and analytical considerations.

Authors:  Timothy J Jorgensen; Ingo Ruczinski; Bailey Kessing; Michael W Smith; Yin Yao Shugart; Anthony J Alberg
Journal:  Am J Epidemiol       Date:  2009-09-17       Impact factor: 4.897

5.  Genetic epidemiology of spontaneous subarachnoid hemorrhage: Nordic Twin Study.

Authors:  Miikka Korja; Karri Silventoinen; Peter McCarron; Slobodan Zdravkovic; Axel Skytthe; Arto Haapanen; Ulf de Faire; Nancy L Pedersen; Kaare Christensen; Markku Koskenvuo; Jaakko Kaprio
Journal:  Stroke       Date:  2010-09-16       Impact factor: 7.914

6.  Efficacy and safety of recombinant activated factor VII for acute intracerebral hemorrhage.

Authors:  Stephan A Mayer; Nikolai C Brun; Kamilla Begtrup; Joseph Broderick; Stephen Davis; Michael N Diringer; Brett E Skolnick; Thorsten Steiner
Journal:  N Engl J Med       Date:  2008-05-15       Impact factor: 91.245

7.  Designing candidate gene and genome-wide case-control association studies.

Authors:  Krina T Zondervan; Lon R Cardon
Journal:  Nat Protoc       Date:  2007       Impact factor: 13.491

8.  Heritability estimates identify a substantial genetic contribution to risk and outcome of intracerebral hemorrhage.

Authors:  William J Devan; Guido J Falcone; Christopher D Anderson; Jeremiasz M Jagiella; Helena Schmidt; Björn M Hansen; Jordi Jimenez-Conde; Eva Giralt-Steinhauer; Elisa Cuadrado-Godia; Carolina Soriano; Alison M Ayres; Kristin Schwab; Sylvia Baedorf Kassis; Valerie Valant; Joanna Pera; Andrzej Urbanik; Anand Viswanathan; Natalia S Rost; Joshua N Goldstein; Paul Freudenberger; Eva-Maria Stögerer; Bo Norrving; David L Tirschwell; Magdy Selim; Devin L Brown; Scott L Silliman; Bradford B Worrall; James F Meschia; Chelsea S Kidwell; Joan Montaner; Israel Fernandez-Cadenas; Pilar Delgado; Steven M Greenberg; Jaume Roquer; Arne Lindgren; Agnieszka Slowik; Reinhold Schmidt; Daniel Woo; Jonathan Rosand; Alessandro Biffi
Journal:  Stroke       Date:  2013-04-04       Impact factor: 7.914

9.  Describing the genetic architecture of epilepsy through heritability analysis.

Authors:  Doug Speed; Terence J O'Brien; Aarno Palotie; Kirill Shkura; Anthony G Marson; David J Balding; Michael R Johnson
Journal:  Brain       Date:  2014-07-26       Impact factor: 13.501

10.  Genetic heritability of ischemic stroke and the contribution of previously reported candidate gene and genomewide associations.

Authors:  Steve Bevan; Matthew Traylor; Poneh Adib-Samii; Rainer Malik; Nicola L M Paul; Caroline Jackson; Martin Farrall; Peter M Rothwell; Cathie Sudlow; Martin Dichgans; Hugh S Markus
Journal:  Stroke       Date:  2012-10-04       Impact factor: 7.914

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  1 in total

Review 1.  Genetic underpinnings of cerebral edema in acute brain injury: an opportunity for pathway discovery.

Authors:  Elayna Kirsch; Natalia Szejko; Guido J Falcone
Journal:  Neurosci Lett       Date:  2020-05-26       Impact factor: 3.046

  1 in total

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