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Meta-Analysis
. 2019 Jan 4;124(1):114-120.
doi: 10.1161/CIRCRESAHA.118.313533.

PATJ Low Frequency Variants Are Associated With Worse Ischemic Stroke Functional Outcome

Marina Mola-Caminal  1   2 Caty Carrera  3 Carolina Soriano-Tárraga  1 Eva Giralt-Steinhauer  1 Rosa M Díaz-Navarro  4 Sílvia Tur  4 Carmen Jiménez  4 Aina Medina-Dols  5 Natàlia Cullell  6 Nuria P Torres-Aguila  6 Elena Muiño  6 Ana Rodríguez-Campello  1 Angel Ois  1 Elisa Cuadrado-Godia  1 Rosa M Vivanco-Hidalgo  1 Mar Hernandez-Guillamon  3 Montse Solé  3 Pilar Delgado  3 Alejandro Bustamante  3 Teresa García-Berrocoso  3 Maite Mendióroz  3 Mar Castellanos  7 Joaquín Serena  8 Joan Martí-Fàbregas  9 Tomás Segura  10 Gemma Serrano-Heras  11 Victor Obach  12 Marc Ribó  13 Carlos A Molina  13 José Alvarez-Sabín  13 Ernest Palomeras  14 Mar Freijo  15 Maria A Font  16 Jonathan Rosand  1 Natalia S Rost  17 Cristina Gallego-Fabrega  18   19 Jin-Moo Lee  20 Laura Heitsch  20   21 Laura Ibanez  20 Carlos Cruchaga  20 Chia-Ling Phuah  20 Robin Lemmens  22   23   24 Vincent Thijs  25   26 Arne Lindgren  27   28 Jane Maguire  29   30 Kristiina Rannikmae  31 Catherine L Sudlow  31 Christina Jern  32 Tara M Stanne  32 Erik Lorentzen  33 Lucía Muñoz-Narbona  34 Antonio Dávalos  34 Elena López-Cancio  35 Bradford B Worrall  36 Daniel Woo  37 Steven J Kittner  38 Braxton D Mitchell  39   40 Joan Montaner  3   41   42 Jaume Roquer  17   18   19 Jurek Krupinski  43 Xavier Estivill  44   45 Raquel Rabionet  46 Cristòfol Vives-Bauzá  5 Israel Fernández-Cadenas  3   6   47 Jordi Jiménez-Conde  1
Affiliations
Meta-Analysis

PATJ Low Frequency Variants Are Associated With Worse Ischemic Stroke Functional Outcome

Marina Mola-Caminal et al. Circ Res. .

Abstract

Rationale: Ischemic stroke is among the leading causes of adult disability. Part of the variability in functional outcome after stroke has been attributed to genetic factors but no locus has been consistently associated with stroke outcome.

Objective: Our aim was to identify genetic loci influencing the recovery process using accurate phenotyping to produce the largest GWAS (genome-wide association study) in ischemic stroke recovery to date.

Methods and results: A 12-cohort, 2-phase (discovery-replication and joint) meta-analysis of GWAS included anterior-territory and previously independent ischemic stroke cases. Functional outcome was recorded using 3-month modified Rankin Scale. Analyses were adjusted for confounders such as discharge National Institutes of Health Stroke Scale. A gene-based burden test was performed. The discovery phase (n=1225) was followed by open (n=2482) and stringent joint-analyses (n=1791). Those cohorts with modified Rankin Scale recorded at time points other than 3-month or incomplete data on previous functional status were excluded in the stringent analyses. Novel variants in PATJ (Pals1-associated tight junction) gene were associated with worse functional outcome at 3-month after stroke. The top variant was rs76221407 (G allele, β=0.40, P=1.70×10-9).

Conclusions: Our results identify a set of common variants in PATJ gene associated with 3-month functional outcome at genome-wide significance level. Future studies should examine the role of PATJ in stroke recovery and consider stringent phenotyping to enrich the information captured to unveil additional stroke outcome loci.

Keywords: allele; genetic loci; genetic variant; genome-wide association study; ischemic stroke.

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Figures

Figure 1:
Figure 1:. Manhattan plot (A) and Q-Q Plot (B) of the discovery results.
Association testing was performed using a lineal regression model adjusted for the first two PCs, sex, age, smoking, stroke subtype, and discharge NIHSS. The red line shows p=1×10−5 and the blue line the GWAS significance threshold (p=5×10−8) (A). The X-axis is the expected −log10 p under the null hypothesis and lambda is the observed median χ2 test statistic divided by the median expected χ2 test statistic under the null hypothesis (B).
Figure 2:
Figure 2:. Forest plot (A) and regional association plot (B) for rs76221407 in the open joint-analysis.
Plot of the effect size of the association with 3-month mRS across the 12 cohorts (open joint-analysis) (A). Association of rs76221407 and other SNPs in the region was plotted with −log10 p-values (left y-axis), the estimated local recombination rate in blue (right y-axis). The signals are distinguished by color and shape. Linkage disequilibrium (r2) of nearby SNPs is shown by color gradient (B). CI, Confidence Interval; cM, centimorgan; Mb, Megabase; INADL, Inactivation-No-Afterpotential D-Like (PATJ gene); L1TD1, LINE1 Type Transposase Domain Containing 1; KANK4, KN Motif And Ankyrin Repeat Domains 4; chr1, chromosome 1.
Figure 3:
Figure 3:. Distribution of 3-month mRS score in the stringent joint-analysis.
*Joining in the same category the mRS values 5–6 and in the same group the G allele carriers (heterozygous and homozygous) is uniquely suited for facilitating the visualization of this figure, although the analyses are done without joining these categories.

Comment in

  • Genetics of Recovery After Stroke.
    Kessler T, Schunkert H. Kessler T, et al. Circ Res. 2019 Jan 4;124(1):18-20. doi: 10.1161/CIRCRESAHA.118.314269. Circ Res. 2019. PMID: 30605410 No abstract available.

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