Literature DB >> 31084338

Overlap in the Genetic Architecture of Stroke Risk, Early Neurological Changes, and Cardiovascular Risk Factors.

Laura Ibanez1, Laura Heitsch2,3, Umber Dube1, Fabiana H G Farias1, John Budde1, Kristy Bergmann1, Rich Davenport1, Joseph Bradley1, Caty Carrera4, Janne Kinnunen5, Hanne Sallinen5, Daniel Strbian5, Agnieszka Slowik6, Israel Fernandez-Cadenas4, Joan Montaner4,7,8, Jin-Moo Lee3, Carlos Cruchaga1.   

Abstract

Background and Purpose- The genetic relationships between stroke risk, stroke severity, and early neurological changes are complex and not completely understood. Genetic studies have identified 32 all stroke risk loci. Polygenic risk scores can be used to compare the genetic architecture of related traits. In this study, we compare the genetic architecture of stroke risk, stroke severity, and early neurological changes with that of 2 stroke risk factors: type 2 diabetes mellitus (T2DM) and hypertension. Methods- We assessed the degree of overlap in the genetic architecture of stroke risk, T2DM, hypertension, and 2 acute stroke phenotypes based on the National Institutes of Health Stroke Scale (NIHSS), which ranges from 0 for no stroke symptoms to 21 to 42 for a severe stroke: baseline (within 6 hours after onset) and change in NIHSS (ΔNIHSS=NIHSS at baseline-NIHSS at 24 hours). This was done by (1) single-nucleotide polymorphism by single-nucleotide polymorphism comparison, (2) weighted polygenic risk scores with sentinel variants, and (3) whole-genome polygenic risk scores using multiple P thresholds. Results- We found evidence of genetic architecture overlap between stroke risk and T2DM ( P=2.53×10-169), hypertension ( P=3.93×10-04), and baseline NIHSS ( P=0.03). However, there was no evidence of overlap between ΔNIHSS and stroke risk, T2DM, or hypertension. Conclusions- The genetic architecture of stroke risk is correlated with that of T2DM, hypertension, and initial stroke severity (NIHSS within 6 hours of stroke onset). However, the genetic architecture of early neurological change after stroke (ΔNIHSS) is not correlated with that of ischemic stroke risk, T2DM, or hypertension. Thus, stroke risk and early neurological change after stroke have distinct genetic architectures.

Entities:  

Keywords:  diabetes mellitus; genetics; hypertension; risk factors; stroke

Mesh:

Year:  2019        PMID: 31084338      PMCID: PMC6538457          DOI: 10.1161/STROKEAHA.118.023097

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  35 in total

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2.  When is baseline adjustment useful in analyses of change? An example with education and cognitive change.

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3.  Prestroke glycemic control is associated with the functional outcome in acute ischemic stroke: the Fukuoka Stroke Registry.

Authors:  Masahiro Kamouchi; Takayuki Matsuki; Jun Hata; Takahiro Kuwashiro; Tetsuro Ago; Yoshiki Sambongi; Yoshihisa Fukushima; Hiroshi Sugimori; Takanari Kitazono
Journal:  Stroke       Date:  2011-08-04       Impact factor: 7.914

4.  Additive effects of the major risk alleles of IRF5 and STAT4 in primary Sjögren's syndrome.

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5.  Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST. Trial of Org 10172 in Acute Stroke Treatment.

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Journal:  Stroke       Date:  1993-01       Impact factor: 7.914

6.  Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes.

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Journal:  Nat Genet       Date:  2018-03-12       Impact factor: 38.330

7.  METAL: fast and efficient meta-analysis of genomewide association scans.

Authors:  Cristen J Willer; Yun Li; Gonçalo R Abecasis
Journal:  Bioinformatics       Date:  2010-07-08       Impact factor: 6.937

8.  Primary stroke prevention and hypertension treatment: which is the first-line strategy?

Authors:  Roberta Ravenni; Joe F Jabre; Edoardo Casiglia; Alberto Mazza
Journal:  Neurol Int       Date:  2011-09-29

9.  Second-generation PLINK: rising to the challenge of larger and richer datasets.

Authors:  Christopher C Chang; Carson C Chow; Laurent Cam Tellier; Shashaank Vattikuti; Shaun M Purcell; James J Lee
Journal:  Gigascience       Date:  2015-02-25       Impact factor: 6.524

10.  Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies.

Authors:  Nilanjan Chatterjee; Bill Wheeler; Joshua Sampson; Patricia Hartge; Stephen J Chanock; Ju-Hyun Park
Journal:  Nat Genet       Date:  2013-03-03       Impact factor: 38.330

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  10 in total

Review 1.  Using Human Genetics to Understand Mechanisms in Ischemic Stroke Outcome: From Early Brain Injury to Long-Term Recovery.

Authors:  Jin-Moo Lee; Israel Fernandez-Cadenas; Arne G Lindgren
Journal:  Stroke       Date:  2021-08-17       Impact factor: 10.170

2.  Polygenic Risk Scores Augment Stroke Subtyping.

Authors:  Jiang Li; Durgesh P Chaudhary; Ayesha Khan; Christoph Griessenauer; David J Carey; Ramin Zand; Vida Abedi
Journal:  Neurol Genet       Date:  2021-03-09

Review 3.  Stroke in SARS-CoV-2 Infection: A Pictorial Overview of the Pathoetiology.

Authors:  Saeideh Aghayari Sheikh Neshin; Shima Shahjouei; Eric Koza; Isabel Friedenberg; Faezeh Khodadadi; Mirna Sabra; Firas Kobeissy; Saeed Ansari; Georgios Tsivgoulis; Jiang Li; Vida Abedi; Donna M Wolk; Ramin Zand
Journal:  Front Cardiovasc Med       Date:  2021-03-29

4.  Identification of susceptibility loci for cardiovascular disease in adults with hypertension, diabetes, and dyslipidemia.

Authors:  Youhyun Song; Ja-Eun Choi; Yu-Jin Kwon; Hyuk-Jae Chang; Jung Oh Kim; Da-Hyun Park; Jae-Min Park; Seong-Jin Kim; Ji Won Lee; Kyung-Won Hong
Journal:  J Transl Med       Date:  2021-02-25       Impact factor: 5.531

5.  Computational estimates of annular diameter reveal genetic determinants of mitral valve function and disease.

Authors:  Mengyao Yu; Catherine Tcheandjieu; Adrien Georges; Ke Xiao; Helio Tejeda; Christian Dina; Thierry Le Tourneau; Madalina Fiterau; Renae Judy; Noah L Tsao; Dulguun Amgalan; Chad J Munger; Jesse M Engreitz; Scott M Damrauer; Nabila Bouatia-Naji; James R Priest
Journal:  JCI Insight       Date:  2022-02-08

Review 6.  Genome-Wide Studies in Ischaemic Stroke: Are Genetics Only Useful for Finding Genes?

Authors:  Cristina Gallego-Fabrega; Elena Muiño; Jara Cárcel-Márquez; Laia Llucià-Carol; Miquel Lledós; Jesús M Martín-Campos; Natalia Cullell; Israel Fernández-Cadenas
Journal:  Int J Mol Sci       Date:  2022-06-20       Impact factor: 6.208

7.  Functional genomic analyses uncover APOE-mediated regulation of brain and cerebrospinal fluid beta-amyloid levels in Parkinson disease.

Authors:  Laura Ibanez; Jorge A Bahena; Chengran Yang; Umber Dube; Fabiana H G Farias; John P Budde; Kristy Bergmann; Carol Brenner-Webster; John C Morris; Richard J Perrin; Nigel J Cairns; John O'Donnell; Ignacio Álvarez; Monica Diez-Fairen; Miquel Aguilar; Rebecca Miller; Albert A Davis; Pau Pastor; Paul Kotzbauer; Meghan C Campbell; Joel S Perlmutter; Herve Rhinn; Oscar Harari; Carlos Cruchaga; Bruno A Benitez
Journal:  Acta Neuropathol Commun       Date:  2020-11-19       Impact factor: 7.801

8.  Multi-ancestry genetic study in 5,876 patients identifies an association between excitotoxic genes and early outcomes after acute ischemic stroke.

Authors:  Laura Ibanez; Laura Heitsch; Caty Carrera; Fabiana H G Farias; Rajat Dhar; John Budde; Kristy Bergmann; Joseph Bradley; Oscar Harari; Chia-Ling Phuah; Robin Lemmens; Alessandro A Viana Oliveira Souza; Francisco Moniche; Antonio Cabezas-Juan; Juan Francisco Arenillas; Jerzy Krupinksi; Natalia Cullell; Nuria Torres-Aguila; Elena Muiño; Jara Cárcel-Márquez; Joan Marti-Fabregas; Raquel Delgado-Mederos; Rebeca Marin-Bueno; Alejandro Hornick; Cristofol Vives-Bauza; Rosa Diaz Navarro; Silvia Tur; Carmen Jimenez; Victor Obach; Tomas Segura; Gemma Serrano-Heras; Jong-Won Chung; Jaume Roquer; Carol Soriano-Tarraga; Eva Giralt-Steinhauer; Marina Mola-Caminal; Joanna Pera; Katarzyna Lapicka-Bodzioch; Justyna Derbisz; Antoni Davalos; Elena Lopez-Cancio; Lucia Muñoz; Turgut Tatlisumak; Carlos Molina; Marc Ribo; Alejandro Bustamante; Tomas Sobrino; Jose Castillo-Sanchez; Francisco Campos; Emilio Rodriguez-Castro; Susana Arias-Rivas; Manuel Rodríguez-Yáñez; Christina Herbosa; Andria L Ford; Antonio Arauz; Iscia Lopes-Cendes; Theodore Lowenkopf; Miguel A Barboza; Hajar Amini; Boryana Stamova; Bradley P Ander; Frank R Sharp; Gyeong Moon Kim; Oh Young Bang; Jordi Jimenez-Conde; Agnieszka Slowik; Daniel Stribian; Ellen A Tsai; Linda C Burkly; Joan Montaner; Israel Fernandez-Cadenas; Jin-Moo Lee; Carlos Cruchaga
Journal:  medRxiv       Date:  2020-11-03

9.  Genomic atlas of the proteome from brain, CSF and plasma prioritizes proteins implicated in neurological disorders.

Authors:  Chengran Yang; Fabiana H G Farias; Laura Ibanez; Adam Suhy; Brooke Sadler; Maria Victoria Fernandez; Fengxian Wang; Joseph L Bradley; Brett Eiffert; Jorge A Bahena; John P Budde; Zeran Li; Umber Dube; Yun Ju Sung; Kathie A Mihindukulasuriya; John C Morris; Anne M Fagan; Richard J Perrin; Bruno A Benitez; Herve Rhinn; Oscar Harari; Carlos Cruchaga
Journal:  Nat Neurosci       Date:  2021-07-08       Impact factor: 24.884

10.  Neurological Instability in Ischemic Stroke: Relation with Outcome, Latency Time, and Molecular Markers.

Authors:  Ramón Iglesias-Rey; Andres da Silva-Candal; Manuel Rodríguez-Yáñez; Ana Estany-Gestal; Uxía Regueiro; Elena Maqueda; Paulo Ávila-Gómez; José Manuel Pumar; José Castillo; Tomás Sobrino; Francisco Campos; Pablo Hervella
Journal:  Transl Stroke Res       Date:  2021-06-24       Impact factor: 6.829

  10 in total

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