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6 results on '"Wellcome Trust Case Control Consortium, 2"'

1. Comprehensive research synopsis and systematic meta-analyses in Parkinson's disease genetics: The PDGene database.

Author

Christina M Lill, Johannes T Roehr, Matthew B McQueen, Fotini K Kavvoura, Sachin Bagade, Brit-Maren M Schjeide, Leif M Schjeide, Esther Meissner, Ute Zauft, Nicole C Allen, Tian Liu, Marcel Schilling, Kari J Anderson, Gary Beecham, Daniela Berg, Joanna M Biernacka, Alexis Brice, Anita L DeStefano, Chuong B Do, Nicholas Eriksson, Stewart A Factor, Matthew J Farrer, Tatiana Foroud, Thomas Gasser, Taye Hamza, John A Hardy, Peter Heutink, Erin M Hill-Burns, Christine Klein, Jeanne C Latourelle, Demetrius M Maraganore, Eden R Martin, Maria Martinez, Richard H Myers, Michael A Nalls, Nathan Pankratz, Haydeh Payami, Wataru Satake, William K Scott, Manu Sharma, Andrew B Singleton, Kari Stefansson, Tatsushi Toda, Joyce Y Tung, Jeffery Vance, Nick W Wood, Cyrus P Zabetian, andMe Genetic Epidemiology of Parkinson's Disease Consortium, International Parkinson's Disease Genomics Consortium, Parkinson's Disease GWAS Consortium, Wellcome Trust Case Control Consortium 2), Peter Young, Rudolph E Tanzi, Muin J Khoury, Frauke Zipp, Hans Lehrach, John P A Ioannidis, and Lars Bertram

Subjects
Genetics, QH426-470
Abstract

More than 800 published genetic association studies have implicated dozens of potential risk loci in Parkinson's disease (PD). To facilitate the interpretation of these findings, we have created a dedicated online resource, PDGene, that comprehensively collects and meta-analyzes all published studies in the field. A systematic literature screen of -27,000 articles yielded 828 eligible articles from which relevant data were extracted. In addition, individual-level data from three publicly available genome-wide association studies (GWAS) were obtained and subjected to genotype imputation and analysis. Overall, we performed meta-analyses on more than seven million polymorphisms originating either from GWAS datasets and/or from smaller scale PD association studies. Meta-analyses on 147 SNPs were supplemented by unpublished GWAS data from up to 16,452 PD cases and 48,810 controls. Eleven loci showed genome-wide significant (P < 5 × 10(-8)) association with disease risk: BST1, CCDC62/HIP1R, DGKQ/GAK, GBA, LRRK2, MAPT, MCCC1/LAMP3, PARK16, SNCA, STK39, and SYT11/RAB25. In addition, we identified novel evidence for genome-wide significant association with a polymorphism in ITGA8 (rs7077361, OR 0.88, P = 1.3 × 10(-8)). All meta-analysis results are freely available on a dedicated online database (www.pdgene.org), which is cross-linked with a customized track on the UCSC Genome Browser. Our study provides an exhaustive and up-to-date summary of the status of PD genetics research that can be readily scaled to include the results of future large-scale genetics projects, including next-generation sequencing studies.

Published
2012
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2. Genome-wide association and functional follow-up reveals new loci for kidney function.

Author

Cristian Pattaro, Anna Köttgen, Alexander Teumer, Maija Garnaas, Carsten A Böger, Christian Fuchsberger, Matthias Olden, Ming-Huei Chen, Adrienne Tin, Daniel Taliun, Man Li, Xiaoyi Gao, Mathias Gorski, Qiong Yang, Claudia Hundertmark, Meredith C Foster, Conall M O'Seaghdha, Nicole Glazer, Aaron Isaacs, Ching-Ti Liu, Albert V Smith, Jeffrey R O'Connell, Maksim Struchalin, Toshiko Tanaka, Guo Li, Andrew D Johnson, Hinco J Gierman, Mary Feitosa, Shih-Jen Hwang, Elizabeth J Atkinson, Kurt Lohman, Marilyn C Cornelis, Åsa Johansson, Anke Tönjes, Abbas Dehghan, Vincent Chouraki, Elizabeth G Holliday, Rossella Sorice, Zoltan Kutalik, Terho Lehtimäki, Tõnu Esko, Harshal Deshmukh, Sheila Ulivi, Audrey Y Chu, Federico Murgia, Stella Trompet, Medea Imboden, Barbara Kollerits, Giorgio Pistis, CARDIoGRAM Consortium, ICBP Consortium, CARe Consortium, Wellcome Trust Case Control Consortium 2 (WTCCC2), Tamara B Harris, Lenore J Launer, Thor Aspelund, Gudny Eiriksdottir, Braxton D Mitchell, Eric Boerwinkle, Helena Schmidt, Margherita Cavalieri, Madhumathi Rao, Frank B Hu, Ayse Demirkan, Ben A Oostra, Mariza de Andrade, Stephen T Turner, Jingzhong Ding, Jeanette S Andrews, Barry I Freedman, Wolfgang Koenig, Thomas Illig, Angela Döring, H-Erich Wichmann, Ivana Kolcic, Tatijana Zemunik, Mladen Boban, Cosetta Minelli, Heather E Wheeler, Wilmar Igl, Ghazal Zaboli, Sarah H Wild, Alan F Wright, Harry Campbell, David Ellinghaus, Ute Nöthlings, Gunnar Jacobs, Reiner Biffar, Karlhans Endlich, Florian Ernst, Georg Homuth, Heyo K Kroemer, Matthias Nauck, Sylvia Stracke, Uwe Völker, Henry Völzke, Peter Kovacs, Michael Stumvoll, Reedik Mägi, Albert Hofman, Andre G Uitterlinden, Fernando Rivadeneira, Yurii S Aulchenko, Ozren Polasek, Nick Hastie, Veronique Vitart, Catherine Helmer, Jie Jin Wang, Daniela Ruggiero, Sven Bergmann, Mika Kähönen, Jorma Viikari, Tiit Nikopensius, Michael Province, Shamika Ketkar, Helen Colhoun, Alex Doney, Antonietta Robino, Franco Giulianini, Bernhard K Krämer, Laura Portas, Ian Ford, Brendan M Buckley, Martin Adam, Gian-Andri Thun, Bernhard Paulweber, Margot Haun, Cinzia Sala, Marie Metzger, Paul Mitchell, Marina Ciullo, Stuart K Kim, Peter Vollenweider, Olli Raitakari, Andres Metspalu, Colin Palmer, Paolo Gasparini, Mario Pirastu, J Wouter Jukema, Nicole M Probst-Hensch, Florian Kronenberg, Daniela Toniolo, Vilmundur Gudnason, Alan R Shuldiner, Josef Coresh, Reinhold Schmidt, Luigi Ferrucci, David S Siscovick, Cornelia M van Duijn, Ingrid Borecki, Sharon L R Kardia, Yongmei Liu, Gary C Curhan, Igor Rudan, Ulf Gyllensten, James F Wilson, Andre Franke, Peter P Pramstaller, Rainer Rettig, Inga Prokopenko, Jacqueline C M Witteman, Caroline Hayward, Paul Ridker, Afshin Parsa, Murielle Bochud, Iris M Heid, Wolfram Goessling, Daniel I Chasman, W H Linda Kao, and Caroline S Fox

Subjects
Genetics, QH426-470
Abstract

Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD.

Published
2012
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3. A two-stage meta-analysis identifies several new loci for Parkinson's disease.

Author

International Parkinson's Disease Genomics Consortium (IPDGC) and Wellcome Trust Case Control Consortium 2 (WTCCC2)

Subjects
Genetics, QH426-470
Abstract

A previous genome-wide association (GWA) meta-analysis of 12,386 PD cases and 21,026 controls conducted by the International Parkinson's Disease Genomics Consortium (IPDGC) discovered or confirmed 11 Parkinson's disease (PD) loci. This first analysis of the two-stage IPDGC study focused on the set of loci that passed genome-wide significance in the first stage GWA scan. However, the second stage genotyping array, the ImmunoChip, included a larger set of 1,920 SNPs selected on the basis of the GWA analysis. Here, we analyzed this set of 1,920 SNPs, and we identified five additional PD risk loci (combined p

Published
2011
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4. Comparison of methods to account for relatedness in genome-wide association studies with family-based data

Author

Jakris Eu-Ahsunthornwattana, E Nancy Miller, Michaela Fakiola, Wellcome Trust Case Control Consortium 2, Selma M B Jeronimo, Jenefer M Blackwell, and Heather J Cordell

Subjects
lcsh:Genetics, lcsh:QH426-470
Abstract

Approaches based on linear mixed models (LMMs) have recently gained popularity for modelling population substructure and relatedness in genome-wide association studies. In the last few years, a bewildering variety of different LMM methods/software packages have been developed, but it is not always clear how (or indeed whether) any newly-proposed method differs from previously-proposed implementations. Here we compare the performance of several LMM approaches (and software implementations, including EMMAX, GenABEL, FaST-LMM, Mendel, GEMMA and MMM) via their application to a genome-wide association study of visceral leishmaniasis in 348 Brazilian families comprising 3626 individuals (1972 genotyped). The implementations differ in precise details of methodology implemented and through various user-chosen options such as the method and number of SNPs used to estimate the kinship (relatedness) matrix. We investigate sensitivity to these choices and the success (or otherwise) of the approaches in controlling the overall genome-wide error-rate for both real and simulated phenotypes. We compare the LMM results to those obtained using traditional family-based association tests (based on transmission of alleles within pedigrees) and to alternative approaches implemented in the software packages MQLS, ROADTRIPS and MASTOR. We find strong concordance between the results from different LMM approaches, and all are successful in controlling the genome-wide error rate (except for some approaches when applied naively to longitudinal data with many repeated measures). We also find high correlation between LMMs and alternative approaches (apart from transmission-based approaches when applied to SNPs with small or non-existent effects). We conclude that LMM approaches perform well in comparison to competing approaches. Given their strong concordance, in most applications, the choice of precise LMM implementation cannot be based on power/type I error considerations but must instead be based on considerations such as speed and ease-of-use.

Published
2014

5. Genetic loci for retinal arteriolar microcirculation

Author

Sim, Xueling, Jensen, Richard A, Ikram, M Kamran, Cotch, Mary Frances, Li, Xiaohui, MacGregor, Stuart, Xie, Jing, Smith, Albert Vernon, Boerwinkle, Eric, Mitchell, Paul, Klein, Ronald, Klein, Barbara EK, Glazer, Nicole L, Lumley, Thomas, McKnight, Barbara, Psaty, Bruce M, De Jong, Paulus TVM, Hofman, Albert, Rivadeneira, Fernando, Uitterlinden, Andre G, Van Duijn, Cornelia M, Aspelund, Thor, Eiriksdottir, Gudny, Harris, Tamara B, Jonasson, Fridbert, Launer, Lenore J, Wellcome Trust Case Control Consortium 2, Attia, John, Baird, Paul N, Harrap, Stephen, Holliday, Elizabeth G, Inouye, Michael, Rochtchina, Elena, Scott, Rodney J, Viswanathan, Ananth, Global BPGen Consortium, Li, Guo, Smith, Nicholas L, Wiggins, Kerri L, Kuo, Jane Z, Taylor, Kent D, Hewitt, Alex W, Martin, Nicholas G, Montgomery, Grant W, Sun, Cong, Young, Terri L, Mackey, David A, Van Zuydam, Natalie R, Doney, Alex SF, Palmer, Colin NA, Morris, Andrew D, Rotter, Jerome I, Tai, E Shyong, Gudnason, Vilmundur, Vingerling, Johannes R, Siscovick, David S, Wang, Jie Jin, and Wong, Tien Y

Subjects
Aged, 80 and over, Male, Genotype, Models, Genetic, MEF2 Transcription Factors, Microcirculation, Retinal Vessels, Middle Aged, White People, 3. Good health, Arterioles, Genetic Loci, Chromosomes, Human, Pair 5, Humans, Female, Aged, Genome-Wide Association Study
Abstract

Narrow arterioles in the retina have been shown to predict hypertension as well as other vascular diseases, likely through an increase in the peripheral resistance of the microcirculatory flow. In this study, we performed a genome-wide association study in 18,722 unrelated individuals of European ancestry from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium and the Blue Mountain Eye Study, to identify genetic determinants associated with variations in retinal arteriolar caliber. Retinal vascular calibers were measured on digitized retinal photographs using a standardized protocol. One variant (rs2194025 on chromosome 5q14 near the myocyte enhancer factor 2C MEF2C gene) was associated with retinal arteriolar caliber in the meta-analysis of the discovery cohorts at genome-wide significance of P-value

6. Genetic Loci for Retinal Arteriolar Microcirculation

Author

Xueling, Sim, Jensen, Richard A., Kamran Ikram, M., Mary Frances Cotch, Xiaohui, Li, Stuart, Macgregor, Jing, Xie, Albert Vernon Smith, Eric, Boerwinkle, Paul, Mitchell, Ronald, Klein, Klein, Barbara E. K., Glazer, Nicole L., Thomas, Lumley, Barbara, Mcknight, Psaty, Bruce M., de Jong, Paulus T. V. M., Albert, Hofman, Fernando, Rivadeneira, Uitterlinden, Andre G., van Duijn, Cornelia M., Thor, Aspelund, Gudny, Eiriksdottir, Harris, Tamara B., Fridbert, Jonasson, Launer, Lenore J., John, Attia, Baird, Paul N., Stephen, Harrap, Holliday, Elizabeth G., Michael, Inouye, Elena, Rochtchina, Scott, Rodney J., Ananth, Viswanathan, Guo, Li, Smith, Nicholas L., Wiggins, Kerri L., Kuo, Jane Z., Taylor, Kent D., Hewitt, Alex W., Martin, Nicholas G., Montgomery, Grant W., Cong, Sun, Young, Terri L., Mackey, David A., van Zuydam, Natalie R., Doney, Alex S. F., Palmer, Colin N. A., Morris, Andrew D., Rotter, Jerome I., Shyong Tai, E., Vilmundur, Gudnason, Vingerling, Johannes R., Siscovick, David S., Jie Jin Wang, Wong, Tien Y., Donnelly, P, Barroso, I, Blackwell, Jm, Bramon, E, Brown, Ma, Casas, Jp, Corvin, A, Deloukas, P, Duncanson, A, Jankowski, J, Markus, Hs, Mathew, Cg, Palmer, Cn, Plomin, R, Rautanen, A, Sawcer, Sj, Trembath, Rc, Viswanathan, Ac, Wood, Nw, Spencer, Cc, Band, G, Bellenguez, C, Freeman, C, Hellenthal, G, Giannoulatou, E, Pirinen, M, Pearson, R, Strange, A, Su, Z, Vukcevic, D, Langford, C, Hunt, Se, Edkins, S, Gwilliam, R, Blackburn, H, Bumpstead, Sj, Dronov, S, Gillman, M, Gray, E, Hammond, N, Jayakumar, A, Mccann, Ot, Liddle, J, Potter, Sc, Ravindrarajah, R, Ricketts, M, Waller, M, Weston, P, Widaa, S, Whittaker, P, Mathew, C, Mccarthy, Mi, Newton Cheh, C, Johnson, T, Gateva, V, Tobin, Md, Bochud, M, Coin, L, Najjar, Ss, Zhao, Jh, Heath, Sc, Eyheramendy, S, Papadakis, K, Voight, Bf, Scott, Lj, Zhang, F, Farrall, M, Tanaka, T, Wallace, C, Chambers, Jc, Khaw, Kt, Nilsson, P, van der Harst, P, Polidoro, Silvia, Grobbee, De, Onland Moret NC, Bots, Ml, Wain, Lv, Elliott, Ks, Teumer, A, Luan, J, Lucas, G, Kuusisto, J, Burton, Pr, Hadley, D, Mcardle, Wl, Brown, M, Dominiczak, A, Newhouse, Sj, Samani, Nj, Webster, J, Zeggini, E, Beckmann, Js, Bergmann, S, Lim, N, Song, K, Vollenweider, P, Waeber, G, Waterworth, Dm, Yuan, X, Groop, L, Orho Melander, M, Allione, A, Di Gregorio, A, Guarrera, Simonetta, Panico, S, Ricceri, Fulvio, Romanazzi, V, Sacerdote, Carlotta, Vineis, Paolo, Sandhu, Ms, Luben, Rn, Crawford, Gj, Jousilahti, P, Perola, M, Boehnke, M, Bonnycastle, Ll, Collins, Fs, Jackson, Au, Mohlke, Kl, Stringham, Hm, Valle, Tt, Willer, Cj, Bergman, Rn, Morken, Ma, Döring, A, Gieger, C, Illig, T, Meitinger, T, Org, E, Pfeufer, A, Wichmann, He, Kathiresan, S, Marrugat, J, O'Donnell, Cj, Schwartz, Sm, Siscovick, Ds, Subirana, I, Freimer, Nb, Hartikainen, Al, O'Reilly, Pf, Peltonen, L, Pouta, A, de Jong PE, Snieder, H, van Gilst WH, Clarke, R, Goel, A, Hamsten, A, Peden, Jf, Seedorf, U, Syvänen, Ac, Tognoni, G, Lakatta, Eg, Sanna, S, Scheet, P, Schlessinger, D, Scuteri, A, Dörr, M, Ernst, F, Felix, Sb, Homuth, G, Lorbeer, R, Reffelmann, T, Rettig, R, Völker, U, Galan, P, Gut, Ig, Hercberg, S, Lathrop, Gm, Zeleneka, D, Soranzo, N, Williams, Fm, Zhai, G, Salomaa, V, Laakso, M, Elosua, R, Forouhi, Ng, Völzke, H, Uiterwaal, Cs, van der Schouw YT, Numans, Me, Matullo, Giuseppe, Navis, G, Berglund, G, Bingham, Sa, Kooner, Js, Connell, Jm, Bandinelli, S, Ferrucci, L, Watkins, H, Spector, Td, Tuomilehto, J, Altshuler, D, Strachan, Dp, Laan, M, Meneton, P, Wareham, Nj, Uda, M, Jarvelin, Mr, Mooser, V, Melander, O, Loos, Rj, Elliott, P, Abecasis, Gr, Caulfield, M, Munroe, P. B., Inouye, Michael [0000-0001-9413-6520], Apollo - University of Cambridge Repository, Cardiovascular Centre (CVC), Life Course Epidemiology (LCE), Wellcome Trust Case Control Consortium 2, Global BPGen Consortium, Donnelly, P., Barroso, I., Blackwell, J.M., Bramon, E., Brown, M.A., Casas, J.P., Corvin, A., Deloukas, P., Duncanson, A., Jankowski, J., Markus, H.S., Mathew, C.G., Palmer, C.N., Plomin, R., Rautanen, A., Sawcer, S.J., Trembath, R.C., Viswanathan, A.C., Wood, N.W., Spencer, C.C., Band, G., Bellenguez, C., Freeman, C., Hellenthal, G., Giannoulatou, E., Pirinen, M., Pearson, R., Strange, A., Su, Z., Vukcevic, D., Langford, C., Hunt, S.E., Edkins, S., Gwilliam, R., Blackburn, H., Bumpstead, S.J., Dronov, S., Gillman, M., Gray, E., Hammond, N., Jayakumar, A., McCann, O.T., Liddle, J., Potter, S.C., Ravindrarajah, R., Ricketts, M., Waller, M., Weston, P., Widaa, S., Whittaker, P., Mathew, C., McCarthy, M.I., Newton-Cheh, C., Johnson, T., Gateva, V., Tobin, M.D., Bochud, M., Coin, L., Najjar, S.S., Zhao, J.H., Heath, S.C., Eyheramendy, S., Papadakis, K., Voight, B.F., Scott, L.J., Zhang, F., Farrall, M., Tanaka, T., Wallace, C., Chambers, J.C., Khaw, K.T., Nilsson, P., van der Harst, P., Polidoro, S., Grobbee, D.E., Onland-Moret, N.C., Bots, M.L., Wain, L.V., Elliott, K.S., Teumer, A., Luan, J.J., Lucas, G., Kuusisto, J., Burton, P.R., Hadley, D., McArdle, W.L., Brown, M., Dominiczak, A., Newhouse, S.J., Samani, N.J., Webster, J., Zeggini, E., Beckmann, J.S., Bergmann, S., Lim, N., Song, K., Vollenweider, P., Waeber, G., Waterworth, D.M., Yuan, X., Groop, L., Orho-Melander, M., Allione, A., Di Gregorio, A., Guarrera, S., Panico, S., Ricceri, F., Romanazzi, V., Sacerdote, C., Vineis, P., Sandhu, M.S., Luben, R.N., Crawford, G.J., Jousilahti, P., Perola, M., Boehnke, M., Bonnycastle, L.L., Collins, F.S., Jackson, A.U., Mohlke, K.L., Stringham, H.M., Valle, T.T., Willer, C.J., Bergman, R.N., Morken, M.A., Döring, A., Gieger, C., Illig, T., Meitinger, T., Org, E., Pfeufer, A., Wichmann, H.E., Kathiresan, S., Marrugat, J., O'Donnell, C.J., Schwartz, S.M., Siscovick, D.S., Subirana, I., Freimer, N.B., Hartikainen, A.L., O'Reilly, P.F., Peltonen, L., Pouta, A., de Jong, P.E., Snieder, H., van Gilst, W.H., Clarke, R., Goel, A., Hamsten, A., Peden, J.F., Seedorf, U., Syvänen, A.C., Tognoni, G., Lakatta, E.G., Sanna, S., Scheet, P., Schlessinger, D., Scuteri, A., Dörr, M., Ernst, F., Felix, S.B., Homuth, G., Lorbeer, R., Reffelmann, T., Rettig, R., Völker, U., Galan, P., Gut, I.G., Hercberg, S., Lathrop, G.M., Zeleneka, D., Soranzo, N., Williams, F.M., Zhai, G., Salomaa, V., Laakso, M., Elosua, R., Forouhi, N.G., Völzke, H., Uiterwaal, C.S., van der Schouw, Y.T., Numans, M.E., Matullo, G., Navis, G., Berglund, G., Bingham, S.A., Kooner, J.S., Connell, J.M., Bandinelli, S., Ferrucci, L., Watkins, H., Spector, T.D., Tuomilehto, J., Altshuler, D., Strachan, D.P., Laan, M., Meneton, P., Wareham, N.J., Uda, M., Jarvelin, M.R., Mooser, V., Melander, O., Loos, R.J., Elliott, P., Abecasis, G.R., Caulfield, M., Munroe, P.B., Ophthalmology, Epidemiology, Internal Medicine, Erasmus School of Social and Behavioural Sciences, and Obstetrics & Gynecology

Subjects
Male, Pathology, BLUE MOUNTAINS EYE, VESSEL DIAMETERS, lcsh:Medicine, MICROVASCULAR ABNORMALITIES, Genome-wide association study, Cardiovascular, Coronary artery disease, chemistry.chemical_compound, 0302 clinical medicine, genome-wide association, Microcirculation, Retinal Arteriolar Microcirculation, Myocardial infarction, lcsh:Science, Aged, 80 and over, Medicine(all), 0303 health sciences, Multidisciplinary, Agricultural and Biological Sciences(all), MEF2 Transcription Factors, Genomics, Middle Aged, 3. Good health, Arterioles, medicine.anatomical_structure, Medicine, Chromosomes, Human, Pair 5, Female, INCIDENT SEVERE HYPERTENSION, Research Article, medicine.medical_specialty, Genotype, Clinical Research Design, ANTIHYPERTENSIVE DRUG THERAPIES, Single-nucleotide polymorphism, White People, 03 medical and health sciences, Genome Analysis Tools, Vascular Biology, BEAVER DAM EYE, Genetics, Genome-Wide Association Studies, medicine, Humans, CORONARY-HEART-DISEASE, GENOME-WIDE ASSOCIATION, Biology, Aged, 030304 developmental biology, Retina, Models, Genetic, Biochemistry, Genetics and Molecular Biology(all), Vascular disease, business.industry, lcsh:R, Computational Biology, Retinal Vessels, Human Genetics, Retinal, medicine.disease, Ophthalmology, chemistry, Genetic Loci, VASCULAR CALIBER, 030221 ophthalmology & optometry, lcsh:Q, Meta-Analyses, GENE/ENVIRONMENT SUSCEPTIBILITY-REYKJAVIK, business, Genome-Wide Association Study
Abstract

Narrow arterioles in the retina have been shown to predict hypertension as well as other vascular diseases, likely through an increase in the peripheral resistance of the microcirculatory flow. In this study, we performed a genome-wide association study in 18,722 unrelated individuals of European ancestry from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium and the Blue Mountain Eye Study, to identify genetic determinants associated with variations in retinal arteriolar caliber. Retinal vascular calibers were measured on digitized retinal photographs using a standardized protocol. One variant (rs2194025 on chromosome 5q14 near the myocyte enhancer factor 2C MEF2C gene) was associated with retinal arteriolar caliber in the meta-analysis of the discovery cohorts at genome-wide significance of P-value -8. This variant was replicated in an additional 3,939 individuals of European ancestry from the Australian Twins Study and Multi-Ethnic Study of Atherosclerosis (rs2194025, P-value = 2.11×10-12 in combined meta-analysis of discovery and replication cohorts). In independent studies of modest sample sizes, no significant association was found between this variant and clinical outcomes including coronary artery disease, stroke, myocardial infarction or hypertension. In conclusion, we found one novel loci which underlie genetic variation in microvasculature which may be relevant to vascular disease. The relevance of these findings to clinical outcomes remains to be determined.

Published
2013
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