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Download GWAS summary statistics from studies on stroke and related traits

        
        
        

Download GWAS summary statistics from studies incorporated into the CDKP


GWAS summary statistics from studies on stroke and related traits

The table is ordered by publication date in reverse chronological order.

 

Publication Download files README file
Summary statistics of Genome-Wide Association Study of Intracranial Aneurysms and Subarachnoid Hemorrhage.
Bakker MK, et al.
Submitted for publication, 2020.
Download summary statistics README
Genome-wide association study of MRI markers of cerebral small vessel disease in 42,310 participants.
Persyn E, et al.
Nat Commun. 2020 May 1;11(1):2175. doi: 10.1038/s41467-020-15932-3.
PMID:32358547

Download GWAS_UKB_PC1_FA.zip

Download GWAS_UKB_PC1_MD.zip

Download GWAS_UKB_logWMHnorm.zip

README
Genome-wide association study of cerebral small vessel disease reveals established and novel loci.
Chung J, et al.
Brain. 2019 Oct 1;142(10):3176-3189. doi: 10.1093/brain/awz233.
PMID:31430377

Intracerebral hemorrhage or small vessel ischemic stroke summary statistics

Lobar intracerebral hemorrhage or small vessel ischemic stroke summary statistics

Non-lobar intracerebral hemorrhage or small vessel ischemic stroke summary statistics

README
Genetic variation in PLEKHG1 is associated with white matter hyperintensities (n = 11,226).
Traylor M, et al.

Neurology. 2019 Jan 18. pii: 10.1212/WNL.0000000000006952. doi: 10.1212/WNL.0000000000006952.
PMID:30659137
Traylor.et.al.2018.WMH.txt.zip (114MB) README
Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes
Malik R, et al.
Nat Genet. 2018 Apr;50(4):524-537. doi: 10.1038/s41588-018-0058-3.
PMID:29531354
Download available here  
Atrial Fibrillation Genetic Risk and Ischemic Stroke Mechanisms.
Lubitz SA, et al.
Stroke. 2017 Jun;48(6):1451-1456. doi: 10.1161/STROKEAHA.116.016198.
PMID:28468926
Information for download  
Genetic variation at 16q24.2 is associated with small vessel stroke
Traylor M, et al.
Ann Neurol. 2017 Mar;81(3):383-394. doi: 10.1002/ana.24840.
PMID:27997041
27997041.Traylor.2017.tar.gz (299MB) README
Identification of additional risk loci for stroke and small vessel disease: a meta-analysis of genome-wide association studies.
Neurology Working Group of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium, the Stroke Genetics Network (SiGN), and the International Stroke Genetics Consortium (ISGC).
Lancet Neurol. 2016 Jun;15(7):695-707. doi: 10.1016/S1474-4422(16)00102-2.
PMID:27068588
Information for download  
Low-frequency and common genetic variation in ischemic stroke: The METASTROKE collaboration.
Malik R, et al.
Neurology. 2016 Mar 29;86(13):1217-26. doi: 10.1212/WNL.0000000000002528.
PMID:26935894
4818561.Malik.2016.zip (1.3GB) README
Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke.
Traylor M, et al.

Neurology. 2016 Jan 12;86(2):146-53. doi: 10.1212/WNL.0000000000002263.
PMID:26674333
26674333.Traylor.2016.txt.gz (101MB) README
Multi-ethnic genome-wide association study of cerebral white matter hyperintensities on MRI.
Verhaaren BF, et al.
Circ Cardiovasc Genet. 2015 Apr;8(2):398-409. doi: 10.1161/CIRCGENETICS.114.000858.
PMID:25663218
Information for download  
Meta-analysis in more than 17,900 cases of ischemic stroke reveals a novel association at 12q24.12.
Kilarski LL, et al.
Neurology. 2014 Aug 19;83(8):678-85. doi: 10.1212/WNL.0000000000000707.
PMID:25031287
Information for download  
A novel MMP12 locus is associated with large artery atherosclerotic stroke using a genome-wide age-at-onset informed approach.
Traylor M, et al.
PLoS Genet. 2014 Jul 31;10(7):e1004469. doi: 10.1371/journal.pgen.1004469.
PMID:25078452
Information for download  
Meta-analysis of genome-wide association studies identifies 1q22 as a susceptibility locus for intracerebral hemorrhage.
Woo D, et al.

Am J Hum Genet. 2014 Apr 3;94(4):511-21. doi: 10.1016/j.ajhg.2014.02.012.
PMID:24656865
3980413.Woo.2014.zip (350MB) README
Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies.
Traylor M, et al.
Lancet Neurol. 2012 Nov;11(11):951-62. doi: 10.1016/S1474-4422(12)70234-X.
PMID:23041239
3490334.Traylor.2012.zip (307MB) README
Common variants at 6p21.1 are associated with large artery atherosclerotic stroke.
Holliday EG, et al.
Nat Genet. 2012 Oct;44(10):1147-51. doi: 10.1038/ng.2397.
PMID:22941190
Information for download  
Genome-wide association study identifies a variant in HDAC9 associated with large vessel ischemic stroke
International Stroke Genetics Consortium, et al.
Nat Genet. 2012 Feb 5;44(3):328-33. doi: 10.1038/ng.1081.
PMID:22306652
Information for download  
Genome-wide association studies of cerebral white matter lesion burden: the CHARGE consortium.
Fornage M, et al.
Ann Neurol. 2011 Jun;69(6):928-39. doi: 10.1002/ana.22403.
PMID:21681796
Information for download
(More information at the CHARGE Consortium website)
 

GWAS summary statistics from studies incorporated into the CDKP

The table is ordered by publication date in reverse chronological order.

 

Dataset name in CDKP Publication Phenotypes Download site
Cerebral Small Vessel Disease Multi-Trait Analysis of GWAS Genome-wide association study of cerebral small vessel disease reveals established and novel loci.
Chung J, et al.
Brain. 2019 Oct 1;142(10):3176-3189. doi: 10.1093/brain/awz233.
PMID:31430377
Stroke

Intracerebral hemorrhage or small vessel ischemic stroke summary statistics

Lobar intracerebral hemorrhage or small vessel ischemic stroke summary statistics

Non-lobar intracerebral hemorrhage or small vessel ischemic stroke summary statistics

README

Cerebral WMHV GWAS 2019 Genetic variation in PLEKHG1 is associated with white matter hyperintensities (n = 11,226).
Traylor M, et al.

Neurology. 2019 Jan 18. pii: 10.1212/WNL.0000000000006952. doi: 10.1212/WNL.0000000000006952.
PMID:30659137
MRI Traits Summary statistics | README
GIANT UK Biobank GWAS Meta-analysis of genome-wide association studies for height and body mass index in ~700,000 individuals of European ancestry.
Yengo L, et al.
Hum Mol Genet. 2018 Aug 16. doi: 10.1093/hmg/ddy271.
PMID:30124842
Anthropometric Download site
DIAGRAM 1000G GWAS An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans.
Scott RA, et al.

Diabetes. 2017 Nov;66(11):2888-2902. doi: 10.2337/db16-1253.
PMID:28566273
Glycemic Download site
CKDGen 1000G GWAS 1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function.
Gorski M, et al.

Sci Rep. 2017 Apr 28;7:45040. doi: 10.1038/srep45040.
PMID:28452372
Renal Download site
GIANT GWAS - stratified by physical activity Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
Graff M, et al.
PLoS Genet. 2017 Apr 27;13(4):e1006528. doi: 10.1371/journal.pgen.1006528.
PMID:28448500
Anthropometric Download site
MAGIC GWAS 

Genome-Wide Association Study of the Modified Stumvoll Insulin Sensitivity Index Identifies BCL2 and FAM19A2 as Novel Insulin Sensitivity Loci.
Walford GA, Gustafsson S, Rybin D, et al.
Diabetes. 2016 Oct;65(10):3200-11. doi: 10.2337/db16-0199.
PMID:27416945
Glycemic Download site
gnomAD exomes
gnomAD whole genomes
Analysis of protein-coding genetic variation in 60,706 humans.
Lek M, et al.
Nature. 2016 Aug 18;536(7616):285-91. doi: 10.1038/nature19057.
PMID:27535533
No phenotype Download site
CKDGen 1000G GWAS - stratified UACR associations Genome-wide Association Studies Identify Genetic Loci Associated With Albuminuria in Diabetes.
Teumer A, et al.

Diabetes. 2016 Mar;65(3):803-17. doi: 10.2337/db15-1313.
PMID:26631737
Renal Download site
Body Fat Percentage GWAS

New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk.
Lu Y, et al.

Nat Commun. 2016 Feb 1;7:10495. doi: 10.1038/ncomms10495.
PMID:26833246

Anthropometric Download site
DIAGRAM Trans-ethnic meta-analysis Genetic fine mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci.
Gaulton KJ, et al.

Nat Genet. 2015 Dec;47(12):1415-25. doi: 10.1038/ng.3437.
PMID:26551672
Glycemic Download site
CARDIoGRAMplusC4D GWAS A comprehensive 1,000 Genomes-based genome-wide association meta-analysis of coronary artery disease.
Nikpay M, et al.

Nat Genet. 2015 Oct;47(10):1121-30. doi: 10.1038/ng.3396.
PMID:26343387
Cardiovascular Download site
1000 Genomes

A global reference for human genetic variation.
1000 Genomes Project Consortium, et al.

Nature. 2015 Oct 1;526(7571):68-74. doi: 10.1038/nature15393.
PMID:26432245

No phenotype Download site
GIANT Anthropometric 2015 Waist GWAS New genetic loci link adipose and insulin biology to body fat distribution.
Shungin D, et al.
Nature. 2015 Feb 12;518(7538):187-196. doi: 10.1038/nature14132.
PMID:25673412
Anthropometric Download site
ICH GWAS Meta-analysis of Genome-wide Association Studies Identifies 1q22 as a Susceptibility Locus for Intracerebral Hemorrhage.
Woo D, et al.
Am J Hum Genet. 2014 Apr 3;94(4):511-21. doi: 10.1016/j.ajhg.2014.02.012.
PMID:24656865
Hemorrhagic stroke Summary statistics (350MB) | README
GLGC GWAS Discovery and refinement of loci associated with lipid levels.
Willer CJ, et al.
Nat Genet. 2013 Nov;45(11):1274-83. doi: 10.1038/ng.2797.
PMID:24097068
Lipids Download site
Heart Rate GWAS Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders.
den Hoed M, et al.
Nat Genet. 2013 Jun;45(6):621-31. doi: 10.1038/ng.2610.
PMID:23583979
Cardiovascular Download site
GIANT GWAS FTO genotype is associated with phenotypic variability of body mass index.
Yang J, et al.
Nature. 2012 Oct 11;490(7419):267-72. doi: 10.1038/nature11401.
PMID:22982992
Anthropometric Download site
MAGIC Metabochip GWAS 



Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.
Scott RA, et al.
Nat Genet. 2012 Sep;44(9):991-1005. doi: 10.1038/ng.2385.
PMID:22885924
Glycemic Download site
Early Growth Genetics Consortium GWAS A genome-wide association meta-analysis identifies new childhood obesity loci.
Bradfield JP, et al.

Nat Genet. 2012 May;44(5):526-31. doi: 10.1038/ng.2247.
PMID:22484627
Anthropometric Download site