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1. 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

2. 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

3. 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

4. Genome-wide meta-analysis of cerebral white matter hyperintensities in patients with stroke

Author

Traylor, M., Zhang, C.R., Adib-Samii, P., Devan, W.J., Parsons, O.E., Lanfranconi, S., Gregory, S., Cloonan, L., Falcone, G.J., Radmanesh, F., Fitzpatrick, K., Kanakis, A., Barrick, T.R., Moynihan, B., Lewis, C.M., Boncoraglio, G.B., Lemmens, R., Thijs, V., Sudlow, C., Wardlaw, J., Rothwell, P.M., Meschia, J.F., Worrall, B.B., Levi, C., Bevan, S., Furie, K.L., Dichgans, M., Rosand, J., Markus, H.S., Rost, N., and Klijn, C.J.M.

Subjects
Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3]
Abstract

Contains fulltext : 169551.pdf (Publisher’s version ) (Open Access) OBJECTIVE: For 3,670 stroke patients from the United Kingdom, United States, Australia, Belgium, and Italy, we performed a genome-wide meta-analysis of white matter hyperintensity volumes (WMHV) on data imputed to the 1000 Genomes reference dataset to provide insights into disease mechanisms. METHODS: We first sought to identify genetic associations with white matter hyperintensities in a stroke population, and then examined whether genetic loci previously linked to WMHV in community populations are also associated in stroke patients. Having established that genetic associations are shared between the 2 populations, we performed a meta-analysis testing which associations with WMHV in stroke-free populations are associated overall when combined with stroke populations. RESULTS: There were no associations at genome-wide significance with WMHV in stroke patients. All previously reported genome-wide significant associations with WMHV in community populations shared direction of effect in stroke patients. In a meta-analysis of the genome-wide significant and suggestive loci (p < 5 x 10(-6)) from community populations (15 single nucleotide polymorphisms in total) and from stroke patients, 6 independent loci were associated with WMHV in both populations. Four of these are novel associations at the genome-wide level (rs72934505 [NBEAL1], p = 2.2 x 10(-8); rs941898 [EVL], p = 4.0 x 10(-8); rs962888 [C1QL1], p = 1.1 x 10(-8); rs9515201 [COL4A2], p = 6.9 x 10(-9)). CONCLUSIONS: Genetic associations with WMHV are shared in otherwise healthy individuals and patients with stroke, indicating common genetic susceptibility in cerebral small vessel disease.

Published
2016

5. Common variation in PHACTR1 is associated with susceptibility to cervical artery dissection

Author

Debette, S., Kamatani, Y., Metso, T.M., Kloss, M., Chauhan, G., Engelter, S.T., Pezzini, S, Thijs, V., Markus, H.S., Dichgans, M., Wolf, C., Dittrich, R., Touze, E., Southerland, A.M., Samson, Y., Abboud, S., Bejot, Y., Caso, V., Bersano, A., Gschwendtner, A., Sessa, M., Cole, J., Lamy, C., Medeiros, E., Beretta, S., Bonati, L.H., Grau, A.J., Michel, P., Majersik, J.J., Sharma, P., Kalashnikova, L., Nazarova, M., Dobrynina, L., Bartels, E., Guillon, B., Herik, E.G. van den, Fernandez-Cadenas, I., Jood, K., Nalls, M.A., Leeuw, H.F. de, Jern, C., Cheng, Y.C., Werner, I., Metso, A.J., Lichy, C., Lyrer, P.A., Brandt, T., Boncoraglio, G.B., Wichmann, H.E., Gieger, C., Johnson, A.D., Bottcher, T., Castellano, M., Arveiler, D., Ikram, M.A., Breteler, M.M., Padovani, A., Meschia, J.F., Kuhlenbaumer, G., Rolfs, A., Worrall, B.B., Ringelstein, E.B., Zelenika, D., Tatlisumak, T., Lathrop, M., Leys, D., Amouyel, P., Dallongeville, J., Debette, S., Kamatani, Y., Metso, T.M., Kloss, M., Chauhan, G., Engelter, S.T., Pezzini, S, Thijs, V., Markus, H.S., Dichgans, M., Wolf, C., Dittrich, R., Touze, E., Southerland, A.M., Samson, Y., Abboud, S., Bejot, Y., Caso, V., Bersano, A., Gschwendtner, A., Sessa, M., Cole, J., Lamy, C., Medeiros, E., Beretta, S., Bonati, L.H., Grau, A.J., Michel, P., Majersik, J.J., Sharma, P., Kalashnikova, L., Nazarova, M., Dobrynina, L., Bartels, E., Guillon, B., Herik, E.G. van den, Fernandez-Cadenas, I., Jood, K., Nalls, M.A., Leeuw, H.F. de, Jern, C., Cheng, Y.C., Werner, I., Metso, A.J., Lichy, C., Lyrer, P.A., Brandt, T., Boncoraglio, G.B., Wichmann, H.E., Gieger, C., Johnson, A.D., Bottcher, T., Castellano, M., Arveiler, D., Ikram, M.A., Breteler, M.M., Padovani, A., Meschia, J.F., Kuhlenbaumer, G., Rolfs, A., Worrall, B.B., Ringelstein, E.B., Zelenika, D., Tatlisumak, T., Lathrop, M., Leys, D., Amouyel, P., and Dallongeville, J.

Abstract

Item does not contain fulltext, Cervical artery dissection (CeAD), a mural hematoma in a carotid or vertebral artery, is a major cause of ischemic stroke in young adults although relatively uncommon in the general population (incidence of 2.6/100,000 per year). Minor cervical traumas, infection, migraine and hypertension are putative risk factors, and inverse associations with obesity and hypercholesterolemia are described. No confirmed genetic susceptibility factors have been identified using candidate gene approaches. We performed genome-wide association studies (GWAS) in 1,393 CeAD cases and 14,416 controls. The rs9349379[G] allele (PHACTR1) was associated with lower CeAD risk (odds ratio (OR) = 0.75, 95% confidence interval (CI) = 0.69-0.82; P = 4.46 x 10(-10)), with confirmation in independent follow-up samples (659 CeAD cases and 2,648 controls; P = 3.91 x 10(-3); combined P = 1.00 x 10(-11)). The rs9349379[G] allele was previously shown to be associated with lower risk of migraine and increased risk of myocardial infarction. Deciphering the mechanisms underlying this pleiotropy might provide important information on the biological underpinnings of these disabling conditions.

Published
2015

6. 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

7. Common variants at 6p21.1 are associated with large artery atherosclerotic stroke

Author

Holliday, E.G., Maguire, J.M., Evans, T-J, Koblar, S.A., Jannes, J., Sturm, J.W., Hankey, G.J., Baker, R., Golledge, J., Parsons, M.W., Malik, R., McEvoy, M., Biros, E., Lewis, M.D., Lincz, L.F., Peel, R., Oldmeadow, C., Smith, W., Moscato, P., Barlera, S., Bevan, S., Bis, J.C., Boerwinkle, E., Boncoraglio, G.B., Brott, T.G., Brown, R.D., Cheng, Y-C, Cole, J.W., Cotlarciuc, I., Devan, W.J., Fornage, M., Furie, K.L., Grétarsdóttir, S., Gschwendtner, A., Ikram, M.A., Longstreth, W.T., Meschia, J.F., Mitchell, B.D., Mosley, T.H., Nalls, M.A., Parati, E.A., Psaty, B.M., Sharma, P., Stefansson, K., Thorleifsson, G., Thorsteinsdottir, U., Traylor, M., Verhaaren, B.F.J., Wiggins, K.L., Worrall, B.B., Sudlow, C., Rothwell, P.M., Farrall, M., Dichgans, M., Rosand, J., Markus, H.S., Scott, R.J., Levi, C., Attia, J., Holliday, E.G., Maguire, J.M., Evans, T-J, Koblar, S.A., Jannes, J., Sturm, J.W., Hankey, G.J., Baker, R., Golledge, J., Parsons, M.W., Malik, R., McEvoy, M., Biros, E., Lewis, M.D., Lincz, L.F., Peel, R., Oldmeadow, C., Smith, W., Moscato, P., Barlera, S., Bevan, S., Bis, J.C., Boerwinkle, E., Boncoraglio, G.B., Brott, T.G., Brown, R.D., Cheng, Y-C, Cole, J.W., Cotlarciuc, I., Devan, W.J., Fornage, M., Furie, K.L., Grétarsdóttir, S., Gschwendtner, A., Ikram, M.A., Longstreth, W.T., Meschia, J.F., Mitchell, B.D., Mosley, T.H., Nalls, M.A., Parati, E.A., Psaty, B.M., Sharma, P., Stefansson, K., Thorleifsson, G., Thorsteinsdottir, U., Traylor, M., Verhaaren, B.F.J., Wiggins, K.L., Worrall, B.B., Sudlow, C., Rothwell, P.M., Farrall, M., Dichgans, M., Rosand, J., Markus, H.S., Scott, R.J., Levi, C., and Attia, J.

Abstract

Genome-wide association studies (GWAS) have not consistently detected replicable genetic risk factors for ischemic stroke, potentially due to etiological heterogeneity of this trait. We performed GWAS of ischemic stroke and a major ischemic stroke subtype (large artery atherosclerosis, LAA) using 1,162 ischemic stroke cases (including 421 LAA cases) and 1,244 population controls from Australia. Evidence for a genetic influence on ischemic stroke risk was detected, but this influence was higher and more significant for the LAA subtype. We identified a new LAA susceptibility locus on chromosome 6p21.1 (rs556621: odds ratio (OR) = 1.62, P = 3.9 × 10 -8) and replicated this association in 1,715 LAA cases and 52,695 population controls from 10 independent population cohorts (meta-analysis replication OR = 1.15, P = 3.9 × 10 -4; discovery and replication combined OR = 1.21, P = 4.7 × 10 -8). This study identifies a genetic risk locus for LAA and shows how analyzing etiological subtypes may better identify genetic risk alleles for ischemic stroke.

Published
2012

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