Download GWAS summary statistics from published studies on stroke and related traits |
|
Download GWAS summary statistics from studies incorporated into the CDKP |
GWAS summary statistics from published studies on stroke and related traits
The table is ordered by publication date in reverse chronological order.
| Publication | Download files | README file |
|---|---|---|
| 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 |
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 |
| 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. |
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. |
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 |