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9 results on '"Won, H.H."'

3. Social and non-social autism symptoms and trait domains are genetically dissociable

Author

Warrier, V., Toro, R., Won, H.H., Leblond, Claire S., Cliquet, Freddy, Delorme, Richard, Bralten, J.B., Poelmans, G.J.V., Vacic, Vladimir, Wilson, C., Warrier, V., Toro, R., Won, H.H., Leblond, Claire S., Cliquet, Freddy, Delorme, Richard, Bralten, J.B., Poelmans, G.J.V., Vacic, Vladimir, and Wilson, C.

Abstract

Contains fulltext : 207741.pdf (publisher's version ) (Open Access)

Published
2019

4. Corrections to “Capturing intra-tumor genetic heterogeneity byde novo mutation profiling of circulating cell-free tumor DNA: a proof-of-principle”

Author

De Mattos-Arruda, L, primary, Weigelt, B., additional, Cortes, J., additional, Won, H.H., additional, Ng, C.K.Y., additional, Nuciforo, P., additional, Bidard, F.-C., additional, Aura, C., additional, Saura, C., additional, Peg, V., additional, Piscuoglio, S., additional, Oliveira, M., additional, Smolders, Y., additional, Patel, P., additional, Norton, L., additional, Tabernero, J., additional, Berger, M.F., additional, Seoane, J., additional, and Reis-Filho, J.S., additional

Published
2018
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5. Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

Author

Webb, T.R., Erdmann, J., Stirrups, K.E., Stitziel, N.O., Masca, N.G.D., Jansen, H., Kanoni, S., Nelson, C.P., Ferrario, P.G., Konig, I.R., Eicher, J.D., Johnson, A.D., Hamby, S.E., Betsholtz, C., Ruusalepp, A., Franzen, O., Schadt, E.E., Bjorkegren, J.L.M., Weeke, P.E., Auer, P.L., Schick, U.M., Lu, Y.C., Zhang, H., Dube, M.P., Goel, A., Farrall, M., Peloso, G.M., Won, H.H., R. do, Iperen, E. van, Kruppa, J., Mahajan, A., Scott, R.A., Willenborg, C., Braund, P.S., Capelleveen, J.C. van, Doney, A.S.F., Donnelly, L.A., Asselta, R., Merlini, P.A., Duga, S., Marziliano, N., Denny, J.C., Shaffer, C., El-Mokhtari, N.E., Franke, A., Heilmann, S., Hengstenberg, C., Hoffmann, P., Holmen, O.L., Hveem, K., Jansson, J.H., Jockel, K.H., Kessler, T., Kriebel, J., Laugwitz, K.L., Marouli, E., Martinelli, N., McCarthy, M.I., Zuydam, N.R. van, Meisinger, C., Esko, T., Mihailov, E., Escher, S.A., Alver, M., Moebus, S., Morris, A.D., Virtamo, J., Nikpay, M., Olivieri, O., Provost, S., AlQarawi, A., Robertson, N.R., Akinsansya, K.O., Reilly, D.F., Vogt, T.F., Yin, W., Asselbergs, F.W., Kooperberg, C., Jackson, R.D., Stahl, E., Muller-Nurasyid, M., Strauch, K., Varga, T.V., Waldenberger, M., Zeng, L.Y., Chowdhury, R., Salomaa, V., Ford, I., Jukema, J.W., Amouyel, P., Kontto, J., Nordestgaard, B.G., Ferrieres, J., Saleheen, D., Sattar, N., Surendran, P., Wagner, A., Young, R., Howson, J.M.M., Butterworth, A.S., Danesh, J., Ardissino, D., Bottinger, E.P., Erbel, R., Franks, P.W., Girelli, D., Hall, A.S., Hovingh, G.K., Kastrati, A., Lieb, W., Meitinger, T., Kraus, W.E., Shah, S.H., McPherson, R., Orho-Melander, M., Melander, O., Metspalu, A., Palmer, C.N.A., Peters, A., Rader, D.J., Reilly, M.P., Loos, R.J.F., Reiner, A.P., Roden, D.M., Tardif, J.C., Thompson, J.R., Wareham, N.J., Watkins, H., Willer, C.J., Samani, N.J., Schunkert, H., Deloukas, P., Kathiresan, S., Wellcome Trust Case Control, MORGAM Investigators, and Myocardial Infarction Genetics

Subjects
expression quantitative trait loci, single nucleotide polymorphism, cholesteryl ester transfer protein, genome-wide association, genetics
Abstract

BACKGROUND: Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD loci show pleiotropy; that is, they are also associated with other diseases or traits. OBJECTIVES: This study sought to systematically test if genetic variants identified for non-CAD diseases/traits also associate with CAD and to undertake a comprehensive analysis of the extent of pleiotropy of all CAD loci. METHODS: In discovery analyses involving 42,335 CAD cases and 78,240 control subjects we tested the association of 29,383 common (minor allele frequency >5%) single nucleotide polymorphisms available on the exome array, which included a substantial proportion of known or suspected single nucleotide polymorphisms associated with common diseases or traits as of 2011. Suggestive association signals were replicated in an additional 30,533 cases and 42,530 control subjects. To evaluate pleiotropy, we tested CAD loci for association with cardiovascular risk factors (lipid traits, blood pressure phenotypes, body mass index, diabetes, and smoking behavior), as well as with other diseases/traits through interrogation of currently available genome-wide association study catalogs. RESULTS: We identified 6 new loci associated with CAD at genome-wide significance: on 2q37 (KCNJ13-GIGYF2), 6p21 (C2), 11p15 (MRVI1-CTR9), 12q13 (LRP1), 12q24 (SCARB1), and 16q13 (CETP). Risk allele frequencies ranged from 0.15 to 0.86, and odds ratio per copy of the risk allele ranged from 1.04 to 1.09. Of 62 new and known CAD loci, 24 (38.7%) showed statistical association with a traditional cardiovascular risk factor, with some showing multiple associations, and 29 (47%) showed associations at p < 1 × 10(-4) with a range of other diseases/traits. CONCLUSIONS: We identified 6 loci associated with CAD at genome-wide significance. Several CAD loci show substantial pleiotropy, which may help us understand the mechanisms by which these loci affect CAD risk.

Published
2017

8. 75 Loss of PTEN leads to acquired resistance to the PI3Ka inhibitor BYL719: a case of convergent evolution under selective therapeutic pressure

Author

Castel, P., primary, Juric, D., additional, Griffith, M., additional, Griffith, O.L., additional, Won, H.H., additional, Ainscough, B., additional, Ellis, H., additional, Ebbesen, S., additional, Gopakumar, I., additional, Quadt, C., additional, Peters, M., additional, Solit, D., additional, Lowe, S.W., additional, Mardis, E.R., additional, Berger, M.F., additional, Scaltriti, M., additional, and Baselga, J., additional

Published
2014
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9. SNP Linkage Analysis and Whole Exome Sequencing Identify a Novel POU4F3 Mutation in Autosomal Dominant Late-Onset Nonsyndromic Hearing Loss (DFNA15)

Author

Kim, H.J., Won, H.H., Park, K.J., Hong, S.H., Ki, C.S., Cho, S.S., Venselaar, H., Vriend, G., Kim, J.W., Kim, H.J., Won, H.H., Park, K.J., Hong, S.H., Ki, C.S., Cho, S.S., Venselaar, H., Vriend, G., and Kim, J.W.

Abstract

Contains fulltext : 126213.pdf (publisher's version ) (Open Access), Autosomal dominant non-syndromic hearing loss (AD-NSHL) is one of the most common genetic diseases in human and is well-known for the considerable genetic heterogeneity. In this study, we utilized whole exome sequencing (WES) and linkage analysis for direct genetic diagnosis in AD-NSHL. The Korean family had typical AD-NSHL running over 6 generations. Linkage analysis was performed by using genome-wide single nucleotide polymorphism (SNP) chip and pinpointed a genomic region on 5q31 with a significant linkage signal. Sequential filtering of variants obtained from WES, application of the linkage region, bioinformatic analyses, and Sanger sequencing validation identified a novel missense mutation Arg326Lys (c.977G>A) in the POU homeodomain of the POU4F3 gene as the candidate disease-causing mutation in the family. POU4F3 is a known disease gene causing AD-HSLH (DFNA15) described in 5 unrelated families until now each with a unique mutation. Arg326Lys was the first missense mutation affecting the 3(rd) alpha helix of the POU homeodomain harboring a bipartite nuclear localization signal sequence. The phenotype findings in our family further supported previously noted intrafamilial and interfamilial variability of DFNA15. This study demonstrated that WES in combination with linkage analysis utilizing bi-allelic SNP markers successfully identified the disease locus and causative mutation in AD-NSHL.

Published
2013

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