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1. Stroke genetics informs drug discovery and risk prediction across ancestries

Author

Mishra, A, Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D.C., Kamanu, F.K., Koido, M., Grand, Q. Le, Shi, M., He, Y., Georgakis, M.K., Caro, I., Krebs, K., Liaw, Y.C., Vaura, F.C., Lin, K., Winsvold, B.S., Srinivasasainagendra, V., Parodi, L., Bae, H.J., Chauhan, G., Chong, M.R., Tomppo, L., Akinyemi, R., Roshchupkin, G.V., Habib, N., Jee, Y.H., Thomassen, J.Q., Abedi, V., Cárcel-Márquez, J., Nygaard, M., Leonard, H.L., Yang, C., Yonova-Doing, E., Knol, M.J., Lewis, A.J., Judy, R.L., Ago, T., Amouyel, P., Armstrong, N.D., Bakker, M.K., Bartz, T.M., Bennett, D.A., Bis, J.C., Bordes, C., Børte, S., Cain, A., Ridker, P.M., Cho, K., Chen, Z., Cruchaga, C., Cole, J.W., Jager, P.L., Cid, R. de, Endres, M., Ferreira, L.E., Geerlings, M.I., Gasca, N.C., Gudnason, V., Hata, J., He, J., Heath, A.K., Ho, Y.L., Havulinna, A.S., Hopewell, J.C., Hyacinth, H.I., Inouye, M., Jacob, M.A., Jeon, C.E., Jern, C., Kamouchi, M., Keene, K.L., Kitazono, T., Kittner, S.J., Konuma, T., Kumar, A., Lacaze, P., Launer, L.J., Lee, K.J., Lepik, K., Li, J, Li, L, Manichaikul, A., Markus, H.S., Marston, N.A., Meitinger, T., Mitchell, B.D., Montellano, F.A., Morisaki, T., Mosley, T.H., Nalls, M.A., Nordestgaard, B.G., O'Donnell, M.J., Okada, Y., Onland-Moret, N.C., Ovbiagele, B., Peters, A., Psaty, B.M., Rich, S.S., Tuladhar, A.M., Leeuw, F.E. de, Dichgans, M., Debette, S., Mishra, A, Malik, R., Hachiya, T., Jürgenson, T., Namba, S., Posner, D.C., Kamanu, F.K., Koido, M., Grand, Q. Le, Shi, M., He, Y., Georgakis, M.K., Caro, I., Krebs, K., Liaw, Y.C., Vaura, F.C., Lin, K., Winsvold, B.S., Srinivasasainagendra, V., Parodi, L., Bae, H.J., Chauhan, G., Chong, M.R., Tomppo, L., Akinyemi, R., Roshchupkin, G.V., Habib, N., Jee, Y.H., Thomassen, J.Q., Abedi, V., Cárcel-Márquez, J., Nygaard, M., Leonard, H.L., Yang, C., Yonova-Doing, E., Knol, M.J., Lewis, A.J., Judy, R.L., Ago, T., Amouyel, P., Armstrong, N.D., Bakker, M.K., Bartz, T.M., Bennett, D.A., Bis, J.C., Bordes, C., Børte, S., Cain, A., Ridker, P.M., Cho, K., Chen, Z., Cruchaga, C., Cole, J.W., Jager, P.L., Cid, R. de, Endres, M., Ferreira, L.E., Geerlings, M.I., Gasca, N.C., Gudnason, V., Hata, J., He, J., Heath, A.K., Ho, Y.L., Havulinna, A.S., Hopewell, J.C., Hyacinth, H.I., Inouye, M., Jacob, M.A., Jeon, C.E., Jern, C., Kamouchi, M., Keene, K.L., Kitazono, T., Kittner, S.J., Konuma, T., Kumar, A., Lacaze, P., Launer, L.J., Lee, K.J., Lepik, K., Li, J, Li, L, Manichaikul, A., Markus, H.S., Marston, N.A., Meitinger, T., Mitchell, B.D., Montellano, F.A., Morisaki, T., Mosley, T.H., Nalls, M.A., Nordestgaard, B.G., O'Donnell, M.J., Okada, Y., Onland-Moret, N.C., Ovbiagele, B., Peters, A., Psaty, B.M., Rich, S.S., Tuladhar, A.M., Leeuw, F.E. de, Dichgans, M., and Debette, S.

Abstract

Item does not contain fulltext, Previous genome-wide association studies (GWASs) of stroke - the second leading cause of death worldwide - were conducted predominantly in populations of European ancestry(1,2). Here, in cross-ancestry GWAS meta-analyses of 110,182 patients who have had a stroke (five ancestries, 33% non-European) and 1,503,898 control individuals, we identify association signals for stroke and its subtypes at 89 (61 new) independent loci: 60 in primary inverse-variance-weighted analyses and 29 in secondary meta-regression and multitrait analyses. On the basis of internal cross-ancestry validation and an independent follow-up in 89,084 additional cases of stroke (30% non-European) and 1,013,843 control individuals, 87% of the primary stroke risk loci and 60% of the secondary stroke risk loci were replicated (P < 0.05). Effect sizes were highly correlated across ancestries. Cross-ancestry fine-mapping, in silico mutagenesis analysis(3), and transcriptome-wide and proteome-wide association analyses revealed putative causal genes (such as SH3PXD2A and FURIN) and variants (such as at GRK5 and NOS3). Using a three-pronged approach(4), we provide genetic evidence for putative drug effects, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as possible targets, with drugs already under investigation for stroke for F11 and PROC. A polygenic score integrating cross-ancestry and ancestry-specific stroke GWASs with vascular-risk factor GWASs (integrative polygenic scores) strongly predicted ischaemic stroke in populations of European, East Asian and African ancestry(5). Stroke genetic risk scores were predictive of ischaemic stroke independent of clinical risk factors in 52,600 clinical-trial participants with cardiometabolic disease. Our results provide insights to inform biology, reveal potential drug targets and derive genetic risk prediction tools across ancestries.

Published
2022

2. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting

Author

Chauhan, G., Adams, H.H.H., Satizabal, C.L., Bis, J.C., Teumer, A., Sargurupremraj, M., Hofer, E., Trompet, S., Hilal, S., Smith, A.V., Jian, X.Q., Malik, R., Traylor, M., Pulit, S.L., Amouyel, P., Mazoyer, B., Zhu, Y.C., Kaffashian, S., Schilling, S., Beecham, G.W., Montine, T.J., Schellenberg, G.D., Kjartansson, O., Gudnason, V., Knopman, D.S., Griswold, M.E., Windham, B.G., Gottesman, R.F., Mosley, T.H., Schmidt, R., Saba, Y., Schmidt, H., Takeuchi, F., Yamaguchi, S., Nabika, T., Kato, N., Rajan, K.B., Aggarwal, N.T., Jager, P.L. de, Evans, D.A., Psaty, B.M., Rotter, J.I., Rice, K., Lopez, O.L., Liao, J.M., Chen, C., Cheng, C.Y., Wong, T.Y., Ikram, M.K., Lee, S.J. van der, Amin, N., Chouraki, V., DeStefano, A.L., Aparicio, H.J., Romero, J.R., Maillard, P., DeCarli, C., Wardlaw, J.M., Hernandez, M.D.V., Luciano, M., Liewald, D., Deary, I.J., Starr, J.M., Bastin, M.E., Maniega, S.M., Slagboom, P.E., Beekman, M., Deelen, J., Uh, H.W., Lemmens, R., Brodaty, H., Wright, M.J., Ames, D., Boncoraglio, G.B., Hopewell, J.C., Beecham, A.H., Blanton, S.H., Wright, C.B., Sacco, R.L., Wen, W., Thalamuthu, A., Armstrong, N.J., Chong, E., Schofield, P.R., Kwok, J.B., Grond, J. van der, Stott, D.J., Ford, I., Jukema, J.W., Vernooij, M.W., Hofman, A., Uitterlinden, A.G., Lugt, A. van der, Wittfeld, K., Grabe, H.J., Hosten, N., Sarnowski, B. von, Volker, U., Levi, C., Jimenez-Conde, J., Sharma, P., Sudlow, C.L.M., Rosand, J., Woo, D., Cole, J.W., Meschia, J.F., Slowik, A., Thijs, V., Lindgren, A., Melander, O., Grewal, R.P., Rundek, T., Rexrode, K., Rothwell, P.M., Arnett, D.K., Jern, C., Johnson, J.A., Benavente, O.R., Wasssertheil-Smoller, S., Lee, J.M., Wong, Q., Mitchell, B.D., Rich, S.S., McArdle, P.F., Geerlings, M.I., Graaf, Y. van der, Bakker, P.I.W. de, Asselbergs, F.W., Srikanth, V., Thomson, R., McWhirter, R., Moran, C., Callisaya, M., Phan, T., Rutten-Jacobs, L.C.A., Bevan, S., Tzourio, C., Mather, K.A., Sachdev, P.S., Duijn, C.M. van, Worrall, B.B., Dichgans, M., Kittner, S.J., Markus, H.S., Ikram, M.A., Fornage, M., Launer, L.J., Seshadri, S., Longstreth, W.T., Debette, S., Stroke Genetics Network SiGN, ISGC, METASTROKE, ADGC, and CHARGE Consortium

Subjects
Meta-analysis, Mendelian Randomization, Blood Pressure, Polymorphisms, Genome-wide Association, Silent, Insights, Small Vessel Disease, Matter Hyperintensity Volume, Ischemic Stroke, Doenças Cardio e Cérebro-vasculares
Abstract

Collaborators (845): Astrid M. Vicente Free PMC article:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369905/ Objective: To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. Methods: We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n = 20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. Results: The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 × 10-8; and LINC00539/ZDHHC20, p = 5.82 × 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p [BI] = 9.38 × 10-25; p [SSBI] = 5.23 × 10-14 for hypertension), smoking (p [BI] = 4.4 × 10-10; p [SSBI] = 1.2 × 10-4), diabetes (p [BI] = 1.7 × 10-8; p [SSBI] = 2.8 × 10-3), previous cardiovascular disease (p [BI] = 1.0 × 10-18; p [SSBI] = 2.3 × 10-7), stroke (p [BI] = 3.9 × 10-69; p [SSBI] = 3.2 × 10-24), and MRI-defined white matter hyperintensity burden (p [BI] = 1.43 × 10-157; p [SSBI] = 3.16 × 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p ≤ 0.0022), without indication of directional pleiotropy. Conclusion: In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significant modifiable, causal risk factor for BI. info:eu-repo/semantics/publishedVersion

Published
2019

3. Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting.

Author

Aparicio H.J., Del C. Valdes Hernandez M., Luciano M., Liewald D., Deary I.J., Starr J.M., Bastin M.E., Maniega S.M., Slagboom P.E., Beekman M., Deelen J., Uh H.-W., Lemmens R., Brodaty H., Wright M.J., Ames D., Boncoraglio G.B., Hopewell J.C., Beecham A.H., Blanton S.H., Wright C.B., Sacco R.L., Wen W., Thalamuthu A., Armstrong N.J., Chong E., Schofield P.R., Kwok J.B., van der Grond J., Stott D.J., Ford I., Jukema J.W., Vernooij M.W., Hofman A., Uitterlinden A.G., van der Lugt A., Wittfeld K., Grabe H.J., Hosten N., von Sarnowski B., Volker U., Levi C., Jimenez-Conde J., Sharma P., Sudlow C.L.M., Rosand J., Woo D., Cole J.W., Meschia J.F., Slowik A., Thijs V., Lindgren A., Melander O., Grewal R.P., Rundek T., Rexrode K., Rothwell P.M., Arnett D.K., Jern C., Johnson J.A., Benavente O.R., Wasssertheil-Smoller S., Lee J.-M., Wong Q., Mitchell B.D., Rich S.S., McArdle P.F., Geerlings M.I., van der Graaf Y., de Bakker P.I.W., Asselbergs F.W., Srikanth V., Thomson R., McWhirter R., Moran C., Callisaya M., Phan T., Rutten-Jacobs L.C.A., Bevan S., Tzourio C., Mather K.A., Sachdev P.S., van Duijn C.M., Worrall B.B., Dichgans M., Kittner S.J., Markus H.S., Ikram M.A., Fornage M., Launer L.J., Seshadri S., Longstreth W.T., Debette S., Chauhan G., Adams H.H.H., Satizabal C.L., Bis J.C., Teumer A., Sargurupremraj M., Hofer E., Trompet S., Hilal S., Smith A.V., Jian X., Malik R., Traylor M., Pulit S.L., Amouyel P., Mazoyer B., Zhu Y.-C., Kaffashian S., Schilling S., Beecham G.W., Montine T.J., Schellenberg G.D., Kjartansson O., Gudnason V., Knopman D.S., Griswold M.E., Windham B.G., Gottesman R.F., Mosley T.H., Schmidt R., Saba Y., Schmidt H., Takeuchi F., Yamaguchi S., Nabika T., Kato N., Rajan K.B., Aggarwal N.T., De Jager P.L., Evans D.A., Psaty B.M., Rotter J.I., Rice K., Lopez O.L., Liao J., Chen C., Cheng C.-Y., Wong T.Y., Ikram M.K., van der Lee S.J., Amin N., Chouraki V., Destefano A.L., Romero J.R., Maillard P., Decarli C., Wardlaw J.M., Aparicio H.J., Del C. Valdes Hernandez M., Luciano M., Liewald D., Deary I.J., Starr J.M., Bastin M.E., Maniega S.M., Slagboom P.E., Beekman M., Deelen J., Uh H.-W., Lemmens R., Brodaty H., Wright M.J., Ames D., Boncoraglio G.B., Hopewell J.C., Beecham A.H., Blanton S.H., Wright C.B., Sacco R.L., Wen W., Thalamuthu A., Armstrong N.J., Chong E., Schofield P.R., Kwok J.B., van der Grond J., Stott D.J., Ford I., Jukema J.W., Vernooij M.W., Hofman A., Uitterlinden A.G., van der Lugt A., Wittfeld K., Grabe H.J., Hosten N., von Sarnowski B., Volker U., Levi C., Jimenez-Conde J., Sharma P., Sudlow C.L.M., Rosand J., Woo D., Cole J.W., Meschia J.F., Slowik A., Thijs V., Lindgren A., Melander O., Grewal R.P., Rundek T., Rexrode K., Rothwell P.M., Arnett D.K., Jern C., Johnson J.A., Benavente O.R., Wasssertheil-Smoller S., Lee J.-M., Wong Q., Mitchell B.D., Rich S.S., McArdle P.F., Geerlings M.I., van der Graaf Y., de Bakker P.I.W., Asselbergs F.W., Srikanth V., Thomson R., McWhirter R., Moran C., Callisaya M., Phan T., Rutten-Jacobs L.C.A., Bevan S., Tzourio C., Mather K.A., Sachdev P.S., van Duijn C.M., Worrall B.B., Dichgans M., Kittner S.J., Markus H.S., Ikram M.A., Fornage M., Launer L.J., Seshadri S., Longstreth W.T., Debette S., Chauhan G., Adams H.H.H., Satizabal C.L., Bis J.C., Teumer A., Sargurupremraj M., Hofer E., Trompet S., Hilal S., Smith A.V., Jian X., Malik R., Traylor M., Pulit S.L., Amouyel P., Mazoyer B., Zhu Y.-C., Kaffashian S., Schilling S., Beecham G.W., Montine T.J., Schellenberg G.D., Kjartansson O., Gudnason V., Knopman D.S., Griswold M.E., Windham B.G., Gottesman R.F., Mosley T.H., Schmidt R., Saba Y., Schmidt H., Takeuchi F., Yamaguchi S., Nabika T., Kato N., Rajan K.B., Aggarwal N.T., De Jager P.L., Evans D.A., Psaty B.M., Rotter J.I., Rice K., Lopez O.L., Liao J., Chen C., Cheng C.-Y., Wong T.Y., Ikram M.K., van der Lee S.J., Amin N., Chouraki V., Destefano A.L., Romero J.R., Maillard P., Decarli C., and Wardlaw J.M.

Abstract

Objective To explore genetic and lifestyle risk factors of MRI-defined brain infarcts (BI) in large population-based cohorts. Methods We performed meta-analyses of genome-wide association studies (GWAS) and examined associations of vascular risk factors and their genetic risk scores (GRS) with MRI-defined BI and a subset of BI, namely, small subcortical BI (SSBI), in 18 population-based cohorts (n=20,949) from 5 ethnicities (3,726 with BI, 2,021 with SSBI). Top loci were followed up in 7 population-based cohorts (n = 6,862; 1,483 with BI, 630 with SBBI), and we tested associations with related phenotypes including ischemic stroke and pathologically defined BI. Results The mean prevalence was 17.7% for BI and 10.5% for SSBI, steeply rising after age 65. Two loci showed genome-wide significant association with BI: FBN2, p = 1.77 x 10-8; and LINC00539/ZDHHC20, p = 5.82 x 10-9. Both have been associated with blood pressure (BP)-related phenotypes, but did not replicate in the smaller follow-up sample or show associations with related phenotypes. Age- and sex-adjusted associations with BI and SSBI were observed for BP traits (p value for BI, p[BI] = 9.38 x 10-25; p [SSBI] = 5.23 x 10-14 for hypertension), smoking (p[BI]= 4.4 x 10-10; p [SSBI] = 1.2 x 10 -4), diabetes (p[BI] = 1.7 x 10 -8; p [SSBI] = 2.8 x 10 -3), previous cardiovascular disease (p [BI] = 1.0 x 10-18; p [SSBI] = 2.3 x 10-7), stroke (p [BI] = 3.9 x 10-69; p [SSBI] = 3.2 x 10 -24), and MRI-defined white matter hyperintensity burden (p [BI]=1.43 x 10-157; p [SSBI] = 3.16 x 10-106), but not with body mass index or cholesterol. GRS of BP traits were associated with BI and SSBI (p <= 0.0022), without indication of directional pleiotropy. Conclusion In this multiethnic GWAS meta-analysis, including over 20,000 population-based participants, we identified genetic risk loci for BI requiring validation once additional large datasets become available. High BP, including genetically determined, was the most significa

Published
2019

4. Subtype Specificity of Genetic Loci Associated With Stroke in 16 664 Cases and 32 792 Controls

Author

Traylor, M., Anderson, C.D., Rutten-Jacobs, L.C.A., Falcone, G.J., Comeau, M.E., Ay, H., Sudlow, C.L.M., Xu, H., Mitchell, B.D., Cole, J.W., Rexrode, K., Jimenez-Conde, Jordi, Schmidt, Reinhold, Grewal, R.P., Sacco, Ralph L, Ribases, Marta, Rundek, T., Rosand, J., Dichgans, Martin., Lee, J.M., Langefeld, C.D., Kittner, S.J., Markus, H.S., Woo, D., Malik, R., Universitat Autònoma de Barcelona, Traylor, M., Anderson, C.D., Rutten-Jacobs, L.C.A., Falcone, G.J., Comeau, M.E., Ay, H., Sudlow, C.L.M., Xu, H., Mitchell, B.D., Cole, J.W., Rexrode, K., Jimenez-Conde, Jordi, Schmidt, Reinhold, Grewal, R.P., Sacco, Ralph L, Ribases, Marta, Rundek, T., Rosand, J., Dichgans, Martin., Lee, J.M., Langefeld, C.D., Kittner, S.J., Markus, H.S., Woo, D., Malik, R., and Universitat Autònoma de Barcelona

Abstract

Background: Genome-wide association studies have identified multiple loci associated with stroke. However, the specific stroke subtypes affected, and whether loci influence both ischemic and hemorrhagic stroke, remains unknown. For loci associated with stroke, we aimed to infer the combination of stroke subtypes likely to be affected, and in doing so assess the extent to which such loci have homogeneous effects across stroke subtypes. Methods: We performed Bayesian multinomial regression in 16 664 stroke cases and 32 792 controls of European ancestry to determine the most likely combination of stroke subtypes affected for loci with published genome-wide stroke associations, using model selection. Cases were subtyped under 2 commonly used stroke classification systems, TOAST (Trial of Org 10172 Acute Stroke Treatment) and causative classification of stroke. All individuals had genotypes imputed to the Haplotype Reference Consortium 1.1 Panel. Results: Sixteen loci were considered for analysis. Seven loci influenced both hemorrhagic and ischemic stroke, 3 of which influenced ischemic and hemorrhagic subtypes under both TOAST and causative classification of stroke. Under causative classification of stroke, 4 loci influenced both small vessel stroke and intracerebral hemorrhage. An EDNRA locus demonstrated opposing effects on ischemic and hemorrhagic stroke. No loci were predicted to influence all stroke subtypes in the same direction, and only one locus (12q24) was predicted to influence all ischemic stroke subtypes. Conclusions: Heterogeneity in the influence of stroke-associated loci on stroke subtypes is pervasive, reflecting differing causal pathways. However, overlap exists between hemorrhagic and ischemic stroke, which may reflect shared pathobiology predisposing to small vessel arteriopathy. Stroke is a complex, heterogeneous disorder requiring tailored analytic strategies to decipher genetic mechanisms.

Published
2019

5. Low-frequency and common genetic variation in ischemic stroke : the METASTROKE collaboration

Author

Malik, R., Traylor, M., Pulit, S.L., Bevan, S., Hopewell, J.C., Holliday, E.G., Zhao, W., Abrantes, P., Amouyel, P., Attia, J.R., Battey, T.W., Berger, K., Boncoraglio, G.B., Chauhan, G., Cheng, Y.C., Chen, W.M., Clarke, R., Cotlarciuc, I., Debette, S., Falcone, G.J., Ferro, J.M., Gamble, D.M., Ilinca, A., Kittner, S.J., Kourkoulis, C.E., Lemmens, R., Levi, C.R., Lichtner, P., Lindgren, A., Liu, J., Meschia, J.F., Mitchell, B.D., Oliveira, S.A., Pera, J., Reiner, A.P., Rothwell, P.M., Sharma, P., Slowik, A., Sudlow, C.L., Tatlisumak, T., Thijs, V., Vicente, A.M., Woo, D., Seshadri, S., Saleheen, D., Rosand, J., Markus, H.S., Worrall, B.B., Dichgans, M., ISGC Analysis Group, METASTROKE collaboration, Wellcome Trust Case Control Consortium 2 (WTCCC2), and NINDS Stroke Genetics Network (SiGN)

Subjects
0301 basic medicine, medicine.medical_specialty, Genome-wide association study, Polymorphism, Single Nucleotide, Gastroenterology, Article, Brain Ischemia, Doenças Cardio e Cérebro-vasculares, 03 medical and health sciences, 0302 clinical medicine, Missing heritability problem, Internal medicine, ABO blood group system, Genetic variation, Humans, Medicine, Cooperative Behavior, 1000 Genomes Project, Allele frequency, Stroke, Ischemic Stroke, Genetic association, Genetics, business.industry, Genetic Variation, Correction, medicine.disease, 030104 developmental biology, Case-Control Studies, Ischemic stroke, Cardiology, Neurology (clinical), business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract

Erratum in: Low-frequency and common genetic variation in ischemic stroke: The METASTROKE collaboration. [Neurology. 2016] Objective: To investigate the influence of common and low-frequency genetic variants on the risk of ischemic stroke (all IS) and etiologic stroke subtypes. Methods: We meta-analyzed 12 individual genome-wide association studies comprising 10,307 cases and 19,326 controls imputed to the 1000 Genomes (1 KG) phase I reference panel. We selected variants showing the highest degree of association (p , 1E-5) in the discovery phase for replication in Caucasian (13,435 cases and 29,269 controls) and South Asian (2,385 cases and 5,193 controls) samples followed by a transethnic meta-analysis. We further investigated the p value distribution for different bins of allele frequencies for all IS and stroke subtypes. Results: We showed genome-wide significance for 4 loci: ABO for all IS, HDAC9 for large vessel disease (LVD), and both PITX2 and ZFHX3 for cardioembolic stroke (CE). We further refined the association peaks for ABO and PITX2. Analyzing different allele frequency bins, we showed significant enrichment in low-frequency variants (allele frequency ,5%) for both LVD and small vessel disease, and an enrichment of higher frequency variants (allele frequency 10% and 30%) for CE (all p , 1E-5). Conclusions: Our findings suggest that the missing heritability in IS subtypes can in part be attributed to low-frequency and rare variants. Larger sample sizes are needed to identify the variants associated with all IS and stroke subtypes.

Published
2016

7. Genetic variants in CETP increase risk of intracerebral hemorrhage

Author

Anderson, C.D., Falcone, G.J., Phuah, C.L., Radmanesh, F., Brouwers, H.B., Battey, T.W., Biffi, A., Peloso, G.M., Liu, D.J., Ayres, A.M., Goldstein, J.N., Viswanathan, A., Greenberg, S.M., Selim, M., Meschia, J.F., Brown, D.L., Worrall, B.B., Silliman, S.L., Tirschwell, D.L., Flaherty, M.L., Kraft, P., Jagiella, J.M., Schmidt, H., Hansen, B.M., Jimenez-Conde, J., Giralt-Steinhauer, E., Elosua, R., Cuadrado-Godia, E., Soriano, C., Nieuwenhuizen, K.M. van, Klijn, C.J.M., Rannikmae, K., Samarasekera, N., Salman, R.A., Sudlow, C.L., Deary, I.J., Morotti, A., Pezzini, A., Pera, J., Urbanik, A., Pichler, A., Enzinger, C., Norrving, B., Montaner, J., Fernandez-Cadenas, I., Delgado, P., Roquer, J., Lindgren, A., Slowik, A., Schmidt, R., Kidwell, C.S., Kittner, S.J., Waddy, S.P., Langefeld, C.D., Abecasis, G., Willer, C.J., Kathiresan, S., Woo, D., Rosand, J., Anderson, C.D., Falcone, G.J., Phuah, C.L., Radmanesh, F., Brouwers, H.B., Battey, T.W., Biffi, A., Peloso, G.M., Liu, D.J., Ayres, A.M., Goldstein, J.N., Viswanathan, A., Greenberg, S.M., Selim, M., Meschia, J.F., Brown, D.L., Worrall, B.B., Silliman, S.L., Tirschwell, D.L., Flaherty, M.L., Kraft, P., Jagiella, J.M., Schmidt, H., Hansen, B.M., Jimenez-Conde, J., Giralt-Steinhauer, E., Elosua, R., Cuadrado-Godia, E., Soriano, C., Nieuwenhuizen, K.M. van, Klijn, C.J.M., Rannikmae, K., Samarasekera, N., Salman, R.A., Sudlow, C.L., Deary, I.J., Morotti, A., Pezzini, A., Pera, J., Urbanik, A., Pichler, A., Enzinger, C., Norrving, B., Montaner, J., Fernandez-Cadenas, I., Delgado, P., Roquer, J., Lindgren, A., Slowik, A., Schmidt, R., Kidwell, C.S., Kittner, S.J., Waddy, S.P., Langefeld, C.D., Abecasis, G., Willer, C.J., Kathiresan, S., Woo, D., and Rosand, J.

Abstract

Contains fulltext : 167830.pdf (Publisher’s version ) (Open Access), OBJECTIVE: In observational epidemiologic studies, higher plasma high-density lipoprotein cholesterol (HDL-C) has been associated with increased risk of intracerebral hemorrhage (ICH). DNA sequence variants that decrease cholesteryl ester transfer protein (CETP) gene activity increase plasma HDL-C; as such, medicines that inhibit CETP and raise HDL-C are in clinical development. Here, we test the hypothesis that CETP DNA sequence variants associated with higher HDL-C also increase risk for ICH. METHODS: We performed 2 candidate-gene analyses of CETP. First, we tested individual CETP variants in a discovery cohort of 1,149 ICH cases and 1,238 controls from 3 studies, followed by replication in 1,625 cases and 1,845 controls from 5 studies. Second, we constructed a genetic risk score comprised of 7 independent variants at the CETP locus and tested this score for association with HDL-C as well as ICH risk. RESULTS: Twelve variants within CETP demonstrated nominal association with ICH, with the strongest association at the rs173539 locus (odds ratio [OR] = 1.25, standard error [SE] = 0.06, p = 6.0 x 10-4 ) with no heterogeneity across studies (I2 = 0%). This association was replicated in patients of European ancestry (p = 0.03). A genetic score of CETP variants found to increase HDL-C by approximately 2.85mg/dl in the Global Lipids Genetics Consortium was strongly associated with ICH risk (OR = 1.86, SE = 0.13, p = 1.39 x 10-6 ). INTERPRETATION: Genetic variants in CETP associated with increased HDL-C raise the risk of ICH. Given ongoing therapeutic development in CETP inhibition and other HDL-raising strategies, further exploration of potential adverse cerebrovascular outcomes may be warranted. Ann Neurol 2016;80:730-740.

Published
2016

8. Correction: The influence of age and sex on genetic associations with adult body size and shape : a large-scale genome-wide interaction study.

Author

Winkler, T.W., Justice, A.E., Graff, M., Barata, L., Feitosa, M.F., Chu, S., Czajkowski, J., Esko, T., Fall, T., Kilpeläinen, T.O., Lu, Y., Mägi, R., Mihailov, E., Pers, T.H., Rüeger, S., Teumer, A., Ehret, G.B., Ferreira, T., Heard-Costa, N.L., Karjalainen, J., Lagou, V., Mahajan, A., Neinast, M.D., Prokopenko, I., Simino, J., Teslovich, T.M., Jansen, R., Westra, H.J., White, C.C., Absher, D., Ahluwalia, T.S., Ahmad, S., Albrecht, E., Alves, A.C., Bragg-Gresham, J.L., de Craen, A.J., Bis, J.C., Bonnefond, A., Boucher, G., Cadby, G., Cheng, Y.C., Chiang, C.W., Delgado, G., Demirkan, A., Dueker, N., Eklund, N., Eiriksdottir, G., Eriksson, J., Feenstra, B., Fischer, K., Frau, F., Galesloot, T.E., Geller, F., Goel, A., Gorski, M., Grammer, T.B., Gustafsson, S., Haitjema, S., Hottenga, J.J., Huffman, J.E., Jackson, A.U., Jacobs, K.B., Johansson, Å., Kaakinen, M., Kleber, M.E., Lahti, J., Mateo Leach, I., Lehne, B., Liu, Y., Lo, K.S., Lorentzon, M., Luan, J., Madden, P.A., Mangino, M., McKnight, B., Medina-Gomez, C., Monda, K.L., Montasser, M.E., Müller, G., Müller-Nurasyid, M., Nolte, I.M., Panoutsopoulou, K., Pascoe, L., Paternoster, L., Rayner, N.W., Renström, F., Rizzi, F., Rose, L.M., Ryan, K.A., Salo, P., Sanna, S., Scharnagl, H., Shi, J., Smith, A.V., Southam, L., Stančáková, A., Steinthorsdottir, V., Strawbridge, R.J., Sung, Y.J., Tachmazidou, I., Tanaka, T., Thorleifsson, G., Trompet, S., Pervjakova, N., Tyrer, J.P., Vandenput, L., van der Laan, S.W., van der Velde, N., van Setten, J., van Vliet-Ostaptchouk, J.V., Verweij, N., Vlachopoulou, E., Waite, L.L., Wang, S.R., Wang, Z., Wild, S.H., Willenborg, C., Wilson, J.F., Wong, A., Yang, J., Yengo, L., Yerges-Armstrong, L.M., Yu, L., Zhang, W., Zhao, J.H., Andersson, E.A., Bakker, S.J., Baldassarre, D., Banasik, K., Barcella, M., Barlassina, C., Bellis, C., Benaglio, P., Blangero, J., Blüher, M., Bonnet, F., Bonnycastle, L.L., Boyd, H.A., Bruinenberg, M., Buchman, A.S., Campbell, H., Chen, Y.I., Chines, P.S., Claudi-Boehm, S., Cole, J., Collins, F.S., de Geus, E.J., de Groot, L.C., Dimitriou, M., Duan, J., Enroth, S., Eury, E., Farmaki, A.E., Forouhi, N.G., Friedrich, N., Gejman, P.V., Gigante, B., Glorioso, N., Go, A.S., Gottesman, O., Gräßler, J., Grallert, H., Grarup, N., Gu, Y.M., Broer, L., Ham, A.C., Hansen, T., Harris, T.B., Hartman, C.A., Hassinen, M., Hastie, N., Hattersley, A.T., Heath, A.C., Henders, A.K., Hernandez, D., Hillege, H., Holmen, O., Hovingh, K.G., Hui, J., Husemoen, L.L., Hutri-Kähönen, N., Hysi, P.G., Illig, T., De Jager, P.L., Jalilzadeh, S., Jørgensen, T., Jukema, J.W., Juonala, M., Kanoni, S., Karaleftheri, M., Khaw, K.T., Kinnunen, L., Kittner, S.J., Koenig, W., Kolcic, I., Kovacs, P., Krarup, N.T., Kratzer, W., Krüger, J., Kuh, D., Kumari, M., Kyriakou, T., Langenberg, C., Lannfelt, L., Lanzani, C., Lotay, V., Launer, L.J., Leander, K., Lindström, J., Linneberg, A., Liu, Y.P., Lobbens, S., Luben, R., Lyssenko, V., Männistö, S., Magnusson, P.K., McArdle, W.L., Menni, C., Merger, S., Milani, L., Montgomery, G.W., Morris, A.P., Narisu, N., Nelis, M., Ong, K.K., Palotie, A., Pérusse, L., Pichler, I., Pilia, M.G., Pouta, A., Rheinberger, M., Ribel-Madsen, R., Richards, M., Rice, K.M., Rice, T.K., Rivolta, C., Salomaa, V., Sanders, A.R., Sarzynski, M.A., Scholtens, S., Scott, R.A., Scott, W.R., Sebert, S., Sengupta, S., Sennblad, B., Seufferlein, T., Silveira, A., Slagboom, P.E., Smit, J.H., Sparsø, T.H., Stirrups, K., Stolk, R.P., Stringham, H.M., Swertz, M.A., Swift, A.J., Syvänen, A.C., Tan, S.T., Thorand, B., Tönjes, A., Tremblay, A., Tsafantakis, E., van der Most, P.J., Völker, U., Vohl, M.C., Vonk, J.M., Waldenberger, M., Walker, R.W., Wennauer, R., Widén, E., Willemsen, G., Wilsgaard, T., Wright, A.F., Zillikens, M.C., van Dijk, S.C., van Schoor, N.M., Asselbergs, F.W., de Bakker, P.I., Beckmann, J.S., Beilby, J., Bennett, D.A., Bergman, R.N., Bergmann, S., Böger, C.A., Boehm, B.O., Boerwinkle, E., Boomsma, D.I., Bornstein, S.R., Bottinger, E.P., Bouchard, C., Chambers, J.C., Chanock, S.J., Chasman, D.I., Cucca, F., Cusi, D., Dedoussis, G., Erdmann, J., Eriksson, J.G., Evans, D.A., de Faire, U., Farrall, M., Ferrucci, L., Ford, I., Franke, L., Franks, P.W., Froguel, P., Gansevoort, R.T., Gieger, C., Grönberg, H., Gudnason, V., Gyllensten, U., Hall, P., Hamsten, A., van der Harst, P., Hayward, C., Heliövaara, M., Hengstenberg, C., Hicks, A.A., Hingorani, A., Hofman, A., Hu, F., Huikuri, H.V., Hveem, K., James, A.L., Jordan, J.M., Jula, A., Kähönen, M., Kajantie, E., Kathiresan, S., Kiemeney, L.A., Kivimaki, M., Knekt, P.B., Koistinen, H.A., Kooner, J.S., Koskinen, S., Kuusisto, J., Maerz, W., Martin, N.G., Laakso, M., Lakka, T.A., Lehtimäki, T., Lettre, G., Levinson, D.F., Lind, L., Lokki, M.L., Mäntyselkä, P., Melbye, M., Metspalu, A., Mitchell, B.D., Moll, F.L., Murray, J.C., Musk, A.W., Nieminen, M.S., Njølstad, I., Ohlsson, C., Oldehinkel, A.J., Oostra, B.A., Palmer, L.J., Pankow, J.S., Pasterkamp, G., Pedersen, N.L., Pedersen, O., Penninx, B.W., Perola, M., Peters, A., Polaek, O., Pramstaller, P.P., Psaty, B.M., Qi, L., Quertermous, T., Raitakari, O.T., Rankinen, T., Rauramaa, R., Ridker, P.M., Rioux, J.D., Rivadeneira, F., Rotter, J.I., Rudan, I., den Ruijter, H.M., Saltevo, J., Sattar, N., Schunkert, H., Schwarz, P.E., Shuldiner, A.R., Sinisalo, J., Snieder, H., Sørensen, T.I., Spector, T.D., Staessen, J.A., Stefania, B., Thorsteinsdottir, U., Stumvoll, M., Tardif, J.C., Tremoli, E., Tuomilehto, J., Uitterlinden, A.G., Uusitupa, M., Verbeek, A.L., Vermeulen, S.H., Viikari, J.S., Vitart, V., Völzke, H., Vollenweider, P., Waeber, G., Walker, M., Wallaschofski, H., Wareham, N.J., Watkins, H., Zeggini, E., arcOGEN, Consortium, CHARGE, Consortium, DIAGRAM, Consortium, GLGC, Consortium, Global-BPGen, Consortium, ICBP, Consortium, MAGIC, Consortium, Chakravarti, A., Clegg, D.J., Cupples, L.A., Gordon-Larsen, P., Jaquish, C.E., Rao, D.C., Abecasis, G.R., Assimes, T.L., Barroso, I., Berndt, S.I., Boehnke, M., Deloukas, P., Fox, C.S., Groop, L.C., Hunter, D.J., Ingelsson, E., Kaplan, R.C., McCarthy, M.I., Mohlke, K.L., O'Connell, J.R., Schlessinger, D., Strachan, D.P., Stefansson, K., van Duijn, C.M., Hirschhorn, J.N., Lindgren, C.M., Heid, I.M., North, K.E., Borecki, I.B., Kutalik, Z., Loos, R.J., Winkler, T.W., Justice, A.E., Graff, M., Barata, L., Feitosa, M.F., Chu, S., Czajkowski, J., Esko, T., Fall, T., Kilpeläinen, T.O., Lu, Y., Mägi, R., Mihailov, E., Pers, T.H., Rüeger, S., Teumer, A., Ehret, G.B., Ferreira, T., Heard-Costa, N.L., Karjalainen, J., Lagou, V., Mahajan, A., Neinast, M.D., Prokopenko, I., Simino, J., Teslovich, T.M., Jansen, R., Westra, H.J., White, C.C., Absher, D., Ahluwalia, T.S., Ahmad, S., Albrecht, E., Alves, A.C., Bragg-Gresham, J.L., de Craen, A.J., Bis, J.C., Bonnefond, A., Boucher, G., Cadby, G., Cheng, Y.C., Chiang, C.W., Delgado, G., Demirkan, A., Dueker, N., Eklund, N., Eiriksdottir, G., Eriksson, J., Feenstra, B., Fischer, K., Frau, F., Galesloot, T.E., Geller, F., Goel, A., Gorski, M., Grammer, T.B., Gustafsson, S., Haitjema, S., Hottenga, J.J., Huffman, J.E., Jackson, A.U., Jacobs, K.B., Johansson, Å., Kaakinen, M., Kleber, M.E., Lahti, J., Mateo Leach, I., Lehne, B., Liu, Y., Lo, K.S., Lorentzon, M., Luan, J., Madden, P.A., Mangino, M., McKnight, B., Medina-Gomez, C., Monda, K.L., Montasser, M.E., Müller, G., Müller-Nurasyid, M., Nolte, I.M., Panoutsopoulou, K., Pascoe, L., Paternoster, L., Rayner, N.W., Renström, F., Rizzi, F., Rose, L.M., Ryan, K.A., Salo, P., Sanna, S., Scharnagl, H., Shi, J., Smith, A.V., Southam, L., Stančáková, A., Steinthorsdottir, V., Strawbridge, R.J., Sung, Y.J., Tachmazidou, I., Tanaka, T., Thorleifsson, G., Trompet, S., Pervjakova, N., Tyrer, J.P., Vandenput, L., van der Laan, S.W., van der Velde, N., van Setten, J., van Vliet-Ostaptchouk, J.V., Verweij, N., Vlachopoulou, E., Waite, L.L., Wang, S.R., Wang, Z., Wild, S.H., Willenborg, C., Wilson, J.F., Wong, A., Yang, J., Yengo, L., Yerges-Armstrong, L.M., Yu, L., Zhang, W., Zhao, J.H., Andersson, E.A., Bakker, S.J., Baldassarre, D., Banasik, K., Barcella, M., Barlassina, C., Bellis, C., Benaglio, P., Blangero, J., Blüher, M., Bonnet, F., Bonnycastle, L.L., Boyd, H.A., Bruinenberg, M., Buchman, A.S., Campbell, H., Chen, Y.I., Chines, P.S., Claudi-Boehm, S., Cole, J., Collins, F.S., de Geus, E.J., de Groot, L.C., Dimitriou, M., Duan, J., Enroth, S., Eury, E., Farmaki, A.E., Forouhi, N.G., Friedrich, N., Gejman, P.V., Gigante, B., Glorioso, N., Go, A.S., Gottesman, O., Gräßler, J., Grallert, H., Grarup, N., Gu, Y.M., Broer, L., Ham, A.C., Hansen, T., Harris, T.B., Hartman, C.A., Hassinen, M., Hastie, N., Hattersley, A.T., Heath, A.C., Henders, A.K., Hernandez, D., Hillege, H., Holmen, O., Hovingh, K.G., Hui, J., Husemoen, L.L., Hutri-Kähönen, N., Hysi, P.G., Illig, T., De Jager, P.L., Jalilzadeh, S., Jørgensen, T., Jukema, J.W., Juonala, M., Kanoni, S., Karaleftheri, M., Khaw, K.T., Kinnunen, L., Kittner, S.J., Koenig, W., Kolcic, I., Kovacs, P., Krarup, N.T., Kratzer, W., Krüger, J., Kuh, D., Kumari, M., Kyriakou, T., Langenberg, C., Lannfelt, L., Lanzani, C., Lotay, V., Launer, L.J., Leander, K., Lindström, J., Linneberg, A., Liu, Y.P., Lobbens, S., Luben, R., Lyssenko, V., Männistö, S., Magnusson, P.K., McArdle, W.L., Menni, C., Merger, S., Milani, L., Montgomery, G.W., Morris, A.P., Narisu, N., Nelis, M., Ong, K.K., Palotie, A., Pérusse, L., Pichler, I., Pilia, M.G., Pouta, A., Rheinberger, M., Ribel-Madsen, R., Richards, M., Rice, K.M., Rice, T.K., Rivolta, C., Salomaa, V., Sanders, A.R., Sarzynski, M.A., Scholtens, S., Scott, R.A., Scott, W.R., Sebert, S., Sengupta, S., Sennblad, B., Seufferlein, T., Silveira, A., Slagboom, P.E., Smit, J.H., Sparsø, T.H., Stirrups, K., Stolk, R.P., Stringham, H.M., Swertz, M.A., Swift, A.J., Syvänen, A.C., Tan, S.T., Thorand, B., Tönjes, A., Tremblay, A., Tsafantakis, E., van der Most, P.J., Völker, U., Vohl, M.C., Vonk, J.M., Waldenberger, M., Walker, R.W., Wennauer, R., Widén, E., Willemsen, G., Wilsgaard, T., Wright, A.F., Zillikens, M.C., van Dijk, S.C., van Schoor, N.M., Asselbergs, F.W., de Bakker, P.I., Beckmann, J.S., Beilby, J., Bennett, D.A., Bergman, R.N., Bergmann, S., Böger, C.A., Boehm, B.O., Boerwinkle, E., Boomsma, D.I., Bornstein, S.R., Bottinger, E.P., Bouchard, C., Chambers, J.C., Chanock, S.J., Chasman, D.I., Cucca, F., Cusi, D., Dedoussis, G., Erdmann, J., Eriksson, J.G., Evans, D.A., de Faire, U., Farrall, M., Ferrucci, L., Ford, I., Franke, L., Franks, P.W., Froguel, P., Gansevoort, R.T., Gieger, C., Grönberg, H., Gudnason, V., Gyllensten, U., Hall, P., Hamsten, A., van der Harst, P., Hayward, C., Heliövaara, M., Hengstenberg, C., Hicks, A.A., Hingorani, A., Hofman, A., Hu, F., Huikuri, H.V., Hveem, K., James, A.L., Jordan, J.M., Jula, A., Kähönen, M., Kajantie, E., Kathiresan, S., Kiemeney, L.A., Kivimaki, M., Knekt, P.B., Koistinen, H.A., Kooner, J.S., Koskinen, S., Kuusisto, J., Maerz, W., Martin, N.G., Laakso, M., Lakka, T.A., Lehtimäki, T., Lettre, G., Levinson, D.F., Lind, L., Lokki, M.L., Mäntyselkä, P., Melbye, M., Metspalu, A., Mitchell, B.D., Moll, F.L., Murray, J.C., Musk, A.W., Nieminen, M.S., Njølstad, I., Ohlsson, C., Oldehinkel, A.J., Oostra, B.A., Palmer, L.J., Pankow, J.S., Pasterkamp, G., Pedersen, N.L., Pedersen, O., Penninx, B.W., Perola, M., Peters, A., Polaek, O., Pramstaller, P.P., Psaty, B.M., Qi, L., Quertermous, T., Raitakari, O.T., Rankinen, T., Rauramaa, R., Ridker, P.M., Rioux, J.D., Rivadeneira, F., Rotter, J.I., Rudan, I., den Ruijter, H.M., Saltevo, J., Sattar, N., Schunkert, H., Schwarz, P.E., Shuldiner, A.R., Sinisalo, J., Snieder, H., Sørensen, T.I., Spector, T.D., Staessen, J.A., Stefania, B., Thorsteinsdottir, U., Stumvoll, M., Tardif, J.C., Tremoli, E., Tuomilehto, J., Uitterlinden, A.G., Uusitupa, M., Verbeek, A.L., Vermeulen, S.H., Viikari, J.S., Vitart, V., Völzke, H., Vollenweider, P., Waeber, G., Walker, M., Wallaschofski, H., Wareham, N.J., Watkins, H., Zeggini, E., arcOGEN, Consortium, CHARGE, Consortium, DIAGRAM, Consortium, GLGC, Consortium, Global-BPGen, Consortium, ICBP, Consortium, MAGIC, Consortium, Chakravarti, A., Clegg, D.J., Cupples, L.A., Gordon-Larsen, P., Jaquish, C.E., Rao, D.C., Abecasis, G.R., Assimes, T.L., Barroso, I., Berndt, S.I., Boehnke, M., Deloukas, P., Fox, C.S., Groop, L.C., Hunter, D.J., Ingelsson, E., Kaplan, R.C., McCarthy, M.I., Mohlke, K.L., O'Connell, J.R., Schlessinger, D., Strachan, D.P., Stefansson, K., van Duijn, C.M., Hirschhorn, J.N., Lindgren, C.M., Heid, I.M., North, K.E., Borecki, I.B., Kutalik, Z., and Loos, R.J.

Abstract

This corrects the article DOI: 10.1371/journal.pgen.1005378.

Published
2016

9. Why the United States Center for Medicare and Medicaid Services (CMS) Should not Extend Reimbursement Indications for Carotid Artery Angioplasty/Stenting

Author

Abbott, A.L., Adelman, M.A., Alexandrov, A.V., Barnett, H.J.M., Beard, J., Bell, P., Björck, M., Blacker, D., Buckley, C.J., Cambria, R.P., Comerota, A.J., Connolly, E.S., Jr., Davies, A.H., Eckstein, H.H., Faruqi, R., Fraedrich, G., Gloviczki, P., Hankey, G.J., Harbaugh, R.E., Heldenberg, E., Kittner, S.J., Kleinig, T.J., Mikhailidis, D.P., Moore, W.S., Naylor, R., Nicolaides, A., Paraskevas, K.I., Pelz, D.M., Prichard, J.W., Purdie, G., Ricco, J.B., Riles, T., Rothwell, P., Sandercock, P., Sillesen, H., Spence, J.D., Spinelli, F., Tan, A., Thapar, A., Veith, F.J., and Zhou, W.

Published
2012
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10. Are myocardial infarction-associated single-nucleotide polymorphisms associated with ischemic stroke?

Author

Cheng, Y.-C., Anderson, C.D., Bione, S., Keene, K., Maguire, J.M., Nalls, M., Rasheed, A., Zeginigg, M., Attia, J., Baker, R., Barlera, S., Biffi, A., Bookman, E., Brott, T.G., Brown, R. D., Chen, F., Chen, W.-M., Ciusani, E., Cole, J.W., Cortellini, L., Danesh, J., Doheny, K., Ferrucci, L., Grazia Franzosi, M., Frossard, P., Furie, K.L., Golledge, J., Hankey, G.J., Hernandez, D., Holliday, E.G., Hsu, F.-C., Jannes, J., Kamal, A., Khan, M.S., Kittner, S.J., Koblar, S.A., Lewis, M., Lincz, L., Lisa, A., Matarin, M., Moscato, P., Mychaleckyj, J.C., Parati, E.A., Parolo, S., Pugh, E., Rost, N.S., Schallert, M., Schmidt, H., Scott, R.J., Sturm, J.W., Yadav, S., Zaidi, M., Boncoraglio, G.B., Levi, C.R., Meschia, J.F., Rosand, J., Sale, M., Saleheen, D., Schmidt, R., Sharma, P., Worrall, B., Mitchell, B.D., Cheng, Y.-C., Anderson, C.D., Bione, S., Keene, K., Maguire, J.M., Nalls, M., Rasheed, A., Zeginigg, M., Attia, J., Baker, R., Barlera, S., Biffi, A., Bookman, E., Brott, T.G., Brown, R. D., Chen, F., Chen, W.-M., Ciusani, E., Cole, J.W., Cortellini, L., Danesh, J., Doheny, K., Ferrucci, L., Grazia Franzosi, M., Frossard, P., Furie, K.L., Golledge, J., Hankey, G.J., Hernandez, D., Holliday, E.G., Hsu, F.-C., Jannes, J., Kamal, A., Khan, M.S., Kittner, S.J., Koblar, S.A., Lewis, M., Lincz, L., Lisa, A., Matarin, M., Moscato, P., Mychaleckyj, J.C., Parati, E.A., Parolo, S., Pugh, E., Rost, N.S., Schallert, M., Schmidt, H., Scott, R.J., Sturm, J.W., Yadav, S., Zaidi, M., Boncoraglio, G.B., Levi, C.R., Meschia, J.F., Rosand, J., Sale, M., Saleheen, D., Schmidt, R., Sharma, P., Worrall, B., and Mitchell, B.D.

Abstract

Background and Purpose-Ischemic stroke (IS) shares many common risk factors with coronary artery disease (CAD). We hypothesized that genetic variants associated with myocardial infarction (MI) or CAD may be similarly involved in the etiology of IS. To test this hypothesis, we evaluated whether single-nucleotide polymorphisms (SNPs) at 11 different loci recently associated with MI or CAD through genome-wide association studies were associated with IS. Methods-Meta-analyses of the associations between the 11 MI-associated SNPs and IS were performed using 6865 cases and 11 395 control subjects recruited from 9 studies. SNPs were either genotyped directly or imputed; in a few cases a surrogate SNP in high linkage disequilibrium was chosen. Logistic regression was performed within each study to obtain study-specific βs and standard errors. Meta-analysis was conducted using an inverse variance weighted approach assuming a random effect model. Results-Despite having power to detect odds ratio of 1.09-1.14 for overall IS and 1.20-1.32 for major stroke subtypes, none of the SNPs were significantly associated with overall IS and/or stroke subtypes after adjusting for multiple comparisons. Conclusions-Our results suggest that the major common loci associated with MI risk do not have effects of similar magnitude on overall IS but do not preclude moderate associations restricted to specific IS subtypes. Disparate mechanisms may be critical in the development of acute ischemic coronary and cerebrovascular events.

Published
2012

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