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29 results on '"De Bakker, P.I.W."'

1. Common variants associated with blood lipid levels do not affect carotid plaque composition

Author: Siemelink, M.A., van der Laan, S.W., van Setten, J., de Vries, J.P.P.M., de Borst, G.J., Moll, F.L., den Ruijter, H.M., Asselbergs, F.W., Pasterkamp, G., and de Bakker, P.I.W.
Published: 2015
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2. WGS-based telomere length analysis in Dutch family trios implicates stronger maternal inheritance and a role for RRM1 gene

Author: Nersisyan, Lilit, Nikoghosyan, Maria, Arakelyan, Arsen, Francioli, Laurent, Menelaou, A. (Androniki), Pulit, S.L. (Sara L.), Elbers, C.C. (Clara C.), Kloosterman, Wigard, van Setten, J. (Jessica), Nijman, Isaac, Renkens, Ivo, de Bakker, P.I.W. (Paul I. W.), Dijk, Freerk, Neerincx, Pieter, Deelen, Patrick, Kanterakis, Alexandros, Dijkstra, Martijn, Byelas, H. (Heorhiy), van der Velde, K.J. (K. Joeri), Platteel, Mathieu, Swertz, M.A. (Morris A.), Wijmenga, Cisca, Palamara, P.F. (Pier Francesco), Pe’er, I. (Itsik), Ye, K. (Kai), Lameijer, Eric-Wubbo, Moed, M.H. (Matthijs H.), Beekman, M. (Marian), Craen, Anton, Suchiman, H.E.D. (H. Eka D.), Slagboom, Eline, Guryev, Victor, Abdellaoui, Abdel, Jan Hottenga, J. (Jouke), Kattenberg, M. (Mathijs), Willemsen, Gonneke, Boomsma, Dorret, van Leeuwen, E.M. (Elisabeth M.), Karssen, Lennart, Amin, N. (Najaf), Rivadeneira, F. (Fernando), Isaacs, A. (Aaron), Hofman, A. (Albert), Uitterlinden, André, Duijn, Cornelia, van Oven, M. (Mannis), Kayser, M. (Manfred), Vermaat, Martijn, Laros, Jeroen, Dunnen, Johan, Enckevort, David, Mei, Hailiang, Li, M. (Mingkun), Stoneking, M. (Mark), Schaik, Barbera, Bot, Jan, Marschall, Tobias, Schönhuth, Alexander, Hehir-Kwa, Jayne, Handsaker, Robert, Polak, P. (Paz), Sohail, M. (Mashaal), Vuzman, D. (Dana), Estrada, Karol, McCarroll, S.A. (Steven A.), Sunyaev, S.R. (Shamil R.), Hormozdiari, Fereydoun, Koval, Vyacheslav, Medina-Gomez, C. (Carolina), Oostra, B. (Ben), Veldink, Jan, van den Berg, L.H. (Leonard H.), Pitts, S.J. (Steven J.), Potluri, S. (Shobha), Sundar, P. (Purnima), Cox, D.R. (David R.), Knijff, Peter, Li, Q. (Qibin), Li, Y. (Yingrui), Du, Yuanping, Chen, Ruoyan, Cao, H. (Hongzhi), Wang, J. (Jun), Li, N. (Ning), Cao, S. (Sujie), Bovenberg, Jasper, Ommen, Gert-Jan, The Genome of the Netherlands Consortium, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, APH - Methodology, Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Department of Health and Life Sciences, Groningen Research Institute for Asthma and COPD (GRIAC), Stem Cell Aging Leukemia and Lymphoma (SALL), Experimental Immunology, CCA - Cancer biology and immunology, Epidemiology and Data Science, Amsterdam Gastroenterology Endocrinology Metabolism, Epidemiology, Internal Medicine, Genetic Identification, Clinical Genetics, and Genome of the Netherlands Consortium
Subjects: Male, Telomere Homeostasis/genetics, Netherlands Twin Register (NTR), Non-Mendelian inheritance, lcsh:Medicine, Datasets as Topic, Ribonucleoside Diphosphate Reductase/genetics, Genome of the Netherlands consortium, Genome informatics, Genome, 0302 clinical medicine, Models, 80 and over, Inheritance Patterns, lcsh:Science, Child, Netherlands, Genetics, Aged, 80 and over, 0303 health sciences, Multidisciplinary, Age Factors, Functional genomics, Single Nucleotide, ASSOCIATION, Telomere, Middle Aged, 030220 oncology & carcinogenesis, Trait, Female, Maternal Inheritance, Biotechnology, Maternal Age, Adult, Ribonucleoside Diphosphate Reductase, Adolescent, Offspring, PROTEINS, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Article, Paternal Age, 03 medical and health sciences, Young Adult, Sex Factors, LUNG-CANCER, Genetic, Humans, Polymorphism, Telomere/metabolism, General, Gene, METAANALYSIS, 030304 developmental biology, Aged, Whole genome sequencing, Models, Genetic, Whole Genome Sequencing, Human Genome, lcsh:R, Telomere Homeostasis, SIZE, SUBUNIT, CELLS, Linear Models, lcsh:Q, Genome-Wide Association Study
Abstract: Telomere length (TL) regulation is an important factor in ageing, reproduction and cancer development. Genetic, hereditary and environmental factors regulating TL are currently widely investigated, however, their relative contribution to TL variability is still understudied. We have used whole genome sequencing data of 250 family trios from the Genome of the Netherlands project to perform computational measurement of TL and a series of regression and genome-wide association analyses to reveal TL inheritance patterns and associated genetic factors. Our results confirm that TL is a largely heritable trait, primarily with mother’s, and, to a lesser extent, with father’s TL having the strongest influence on the offspring. In this cohort, mother’s, but not father’s age at conception was positively linked to offspring TL. Age-related TL attrition of 40 bp/year had relatively small influence on TL variability. Finally, we have identified TL-associated variations in ribonuclease reductase catalytic subunit M1 (RRM1 gene), which is known to regulate telomere maintenance in yeast. We also highlight the importance of multivariate approach and the limitations of existing tools for the analysis of TL as a polygenic heritable quantitative trait.
Published: 2019
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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. WGS-based telomere length analysis in Dutch family trios implicates stronger maternal inheritance and a role for RRM1 gene

Author: Nersisyan, L. (Lilit), Nikoghosyan, M. (Maria), Arakelyan, A. (Arsen), Francioli, L.C. (Laurent), Menelaou, A. (Androniki), Pulit, S.L. (Sara), Elbers, C.C. (Clara), Kloosterman, W.P. (Wigard), Setten, J. (Jessica) van, Nijman, I.J. (Isaac ), Renkens, I. (Ivo), de Bakker, P.I.W. (Paul I. W.), Dijk, F. (Freerk) van, Neerincx, P.B.T. (Pieter B T), Deelen, P. (Patrick), Kanterakis, A. (Alexandros), Dijkstra, M. (Martijn), Byelas, H. (Heorhiy), van der Velde, K.J. (K. Joeri), Platteel, I. (Inge), Swertz, M.A. (Morris A.), Wijmenga, C. (Cisca), Palamara, P.F. (Pier Francesco), Peer, I. (Itsik), Ye, K. (Kai), Lameijer, E.-W. (Eric-Wubbo), Moed, H. (Heleen), Beekman, M. (Marian), Craen, A.J. (Anton) de, Suchiman, H.E.D. (H. Eka D.), Slagboom, P.E. (Eline), Guryev, V. (Victor), Abdellaoui, A. (Abdel), Hottenga, J.J. (Jouke Jan), Kattenberg, V.M. (Mathijs), Willemsen, G.A.H.M. (Gonneke), Boomsma, D.I. (Dorret), van Leeuwen, E.M. (Elisabeth M.), Karssen, L.C. (Lennart), Amin, N. (Najaf), Rivadeneira, F. (Fernando), Isaacs, A.J. (Aaron), Hofman, A. (Albert), Uitterlinden, A.G. (André), Duijn, C.M. (Cornelia) van, Oven, M. (Mannis) van, Kayser, M.H. (Manfred), Vermaat, M. (Martijn), Laros, J.F.J. (Jeroen F.), Dunnen, J.T. (Johan) den, Enckevort, D. (David) van, Mei, S. (Shan), Li, M. (Mingkun), Stoneking, M. (Mark), Schaik, B.D.C. (Barbera) van, Bot, J.J. (Jan), Marschall, T. (Tanja), Schönhuth, A. (Alexander), Hehir-Kwa, J. (Jayne), Handsaker, R.E. (Robert), Polak, P., Sohail, M. (Mashaal), Vuzman, D. (Dana), Estrada Gil, K. (Karol), McCarroll, S.A. (Steve), Sunyaev, S.R. (Shamil), Hormozdiari, F. (Fereydoun), Koval, V. (Vyacheslav), Medina-Gomez, M.C. (Carolina), Oostra, B.A. (Ben), Veldink, J.H. (Jan), Berg, L.H. (Leonard) van den, Pitts, S.J. (Steven J.), Potluri, S. (Shobha), Sundar, P. (Purnima), Cox, D.R. (David), Knijff, P. (Peter) de, Li, Q. (Qibin), Li, Y. (Yingrui), Du, Y. (Yuanping), Chen, R. (Ruoyan), Cao, H. (Hongzhi), Wang, J. (Jun), Li, N. (Ning), Cao, S. (Sujie), Bovenberg, J.A. (Jasper), Ommen, G.J. (Gert) van, Nersisyan, L. (Lilit), Nikoghosyan, M. (Maria), Arakelyan, A. (Arsen), Francioli, L.C. (Laurent), Menelaou, A. (Androniki), Pulit, S.L. (Sara), Elbers, C.C. (Clara), Kloosterman, W.P. (Wigard), Setten, J. (Jessica) van, Nijman, I.J. (Isaac ), Renkens, I. (Ivo), de Bakker, P.I.W. (Paul I. W.), Dijk, F. (Freerk) van, Neerincx, P.B.T. (Pieter B T), Deelen, P. (Patrick), Kanterakis, A. (Alexandros), Dijkstra, M. (Martijn), Byelas, H. (Heorhiy), van der Velde, K.J. (K. Joeri), Platteel, I. (Inge), Swertz, M.A. (Morris A.), Wijmenga, C. (Cisca), Palamara, P.F. (Pier Francesco), Peer, I. (Itsik), Ye, K. (Kai), Lameijer, E.-W. (Eric-Wubbo), Moed, H. (Heleen), Beekman, M. (Marian), Craen, A.J. (Anton) de, Suchiman, H.E.D. (H. Eka D.), Slagboom, P.E. (Eline), Guryev, V. (Victor), Abdellaoui, A. (Abdel), Hottenga, J.J. (Jouke Jan), Kattenberg, V.M. (Mathijs), Willemsen, G.A.H.M. (Gonneke), Boomsma, D.I. (Dorret), van Leeuwen, E.M. (Elisabeth M.), Karssen, L.C. (Lennart), Amin, N. (Najaf), Rivadeneira, F. (Fernando), Isaacs, A.J. (Aaron), Hofman, A. (Albert), Uitterlinden, A.G. (André), Duijn, C.M. (Cornelia) van, Oven, M. (Mannis) van, Kayser, M.H. (Manfred), Vermaat, M. (Martijn), Laros, J.F.J. (Jeroen F.), Dunnen, J.T. (Johan) den, Enckevort, D. (David) van, Mei, S. (Shan), Li, M. (Mingkun), Stoneking, M. (Mark), Schaik, B.D.C. (Barbera) van, Bot, J.J. (Jan), Marschall, T. (Tanja), Schönhuth, A. (Alexander), Hehir-Kwa, J. (Jayne), Handsaker, R.E. (Robert), Polak, P., Sohail, M. (Mashaal), Vuzman, D. (Dana), Estrada Gil, K. (Karol), McCarroll, S.A. (Steve), Sunyaev, S.R. (Shamil), Hormozdiari, F. (Fereydoun), Koval, V. (Vyacheslav), Medina-Gomez, M.C. (Carolina), Oostra, B.A. (Ben), Veldink, J.H. (Jan), Berg, L.H. (Leonard) van den, Pitts, S.J. (Steven J.), Potluri, S. (Shobha), Sundar, P. (Purnima), Cox, D.R. (David), Knijff, P. (Peter) de, Li, Q. (Qibin), Li, Y. (Yingrui), Du, Y. (Yuanping), Chen, R. (Ruoyan), Cao, H. (Hongzhi), Wang, J. (Jun), Li, N. (Ning), Cao, S. (Sujie), Bovenberg, J.A. (Jasper), and Ommen, G.J. (Gert) van
Abstract: Telomere length (TL) regulation is an important factor in ageing, reproduction and cancer development. Genetic, hereditary and environmental factors regulating TL are currently widely investigated, however, their relative contribution to TL variability is still understudied. We have used whole genome sequencing data of 250 family trios from the Genome of the Netherlands project to perform computational measurement of TL and a series of regression and genome-wide association analyses to reveal TL inheritance patterns and associated genetic factors. Our results confirm that TL is a largely heritable trait, primarily with mother’s, and, to a lesser extent, with father’s TL having the strongest influence on the offspring. In this cohort, mother’s, but not father’s age at conception was positively linked to offspring TL. Age-related TL attrition of 40 bp/year had relatively small influence on TL variability. Finally, we have identified TL-associated variations in ribonuclease reductase catalytic subunit M1 (RRM1 gene), which is known to regulate telomere maintenance in yeast. We also highlight the importance of multivariate approach and the limitations of existing tools for the analysis of TL as a polygenic heritable quantitative trait.
Published: 2019
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5. 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., 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., Guðnason, 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., Aparicio, H.J., Romero, J.R., Maillard, P., DeCarli, C., Wardlaw, J.M., Hernández, M.d.C.V., Luciano, M., Liewald, D., Deary, I.J., Starr, J.M., Bastin, M.E., Munoz Maniega, S., 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., Völker, 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., Guðnason, 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., Aparicio, H.J., Romero, J.R., Maillard, P., DeCarli, C., Wardlaw, J.M., Hernández, M.d.C.V., Luciano, M., Liewald, D., Deary, I.J., Starr, J.M., Bastin, M.E., Munoz Maniega, S., 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., Völker, 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., and Debette, S.
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 × 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 modifi
Published: 2019

6. Genetic variation in uncontrolled childhood asthma despite ICS treatment

Author: Leusink, M., Vijverberg, S.J.H., Koenderman, L., Raaijmakers, J.A.M., de Jongste, J.C., Sterk, P.J., Duiverman, E.J., Onland-Moret, N.C., Postma, D.S., de Boer, Anthonius, de Bakker, P.I.W., Koppelman, G.H., Maitland-van der Zee, A.H., Leusink, M., Vijverberg, S.J.H., Koenderman, L., Raaijmakers, J.A.M., de Jongste, J.C., Sterk, P.J., Duiverman, E.J., Onland-Moret, N.C., Postma, D.S., de Boer, Anthonius, de Bakker, P.I.W., Koppelman, G.H., and Maitland-van der Zee, A.H.
Abstract: Genetic variation may partly explain asthma treatment response heterogeneity. We aimed to identify common and rare genetic variants associated with asthma that was not well controlled despite inhaled corticosteroid (ICS) treatment. Data of 110 children was collected in the Children Asthma Therapy Optimal trial. Associations of genetic variation with measures of lung function (FEV1%pred), airway hyperresponsiveness (AHR) to methacholine (Mch PD20) and treatment response outcomes were analyzed using the exome chip. The 17q12-21 locus (containing ORMDL3 and GSMDB) previously associated with childhood asthma was investigated separately. Single-nucleotide polymorphisms (SNPs) in the 17q12-21 locus were found nominally associated with the outcomes. The strongest association in this region was found for rs72821893 in KRT25 with FEV1%pred (P=3.75*10-5), Mch PD20 (P=0.00095) and Mch PD20-based treatment outcome (P=0.006). No novel single SNPs or burden tests were significantly associated with the outcomes. The 17q12-21 region was associated with FEV1%pred and AHR, and additionally with ICS treatment response.The Pharmacogenomics Journal advance online publication, 12 May 2015; doi:10.1038/tpj.2015.36.
Published: 2016

7. The genetics of carotid atherosclerosis : Associations with clinical outcome and histological plaque characteristics

Author: Pasterkamp, Gerard, de Bakker, P.I.W., van Setten, Jessica, van der Laan, SW, Pasterkamp, Gerard, de Bakker, P.I.W., van Setten, Jessica, and van der Laan, SW
Published: 2016

8. Genetic variation in uncontrolled childhood asthma despite ICS treatment

Author: Sub Pharmacotherapy, Theoretical, Sub Gen. Pharmacoepi and Clinical Pharm, Pharmacoepidemiology and Clinical Pharmacology, Leusink, M., Vijverberg, S.J.H., Koenderman, L., Raaijmakers, J.A.M., de Jongste, J.C., Sterk, P.J., Duiverman, E.J., Onland-Moret, N.C., Postma, D.S., de Boer, Anthonius, de Bakker, P.I.W., Koppelman, G.H., Maitland-van der Zee, A.H., Sub Pharmacotherapy, Theoretical, Sub Gen. Pharmacoepi and Clinical Pharm, Pharmacoepidemiology and Clinical Pharmacology, Leusink, M., Vijverberg, S.J.H., Koenderman, L., Raaijmakers, J.A.M., de Jongste, J.C., Sterk, P.J., Duiverman, E.J., Onland-Moret, N.C., Postma, D.S., de Boer, Anthonius, de Bakker, P.I.W., Koppelman, G.H., and Maitland-van der Zee, A.H.
Published: 2016

9. The genetics of carotid atherosclerosis: Associations with clinical outcome and histological plaque characteristics

Author: Experimentele Afd. Cardiologie 1, Circulatory Health, Pasterkamp, G, de Bakker, P.I.W., van Setten, Jessica, van der Laan, SW, Experimentele Afd. Cardiologie 1, Circulatory Health, Pasterkamp, G, de Bakker, P.I.W., van Setten, Jessica, and van der Laan, SW
Published: 2016

10. Polymorphisms of large effect explain the majority of the host genetic contribution to variation of HIV-1 virus load

Author: McLaren, P.J., Coulonges, C., Bartha, I., Lenz, T.L., Deutsch, A.J., Bashirova, A., Buchbinder, S., Carrington, M.N., Cossarizza, A., Dalmau, J., De Luca, A., Goedert, J.J., Gurdasani, D., Haas, D.W., Herbeck, J.T., Johnson, E.O., Kirk, G.D., Lambotte, O., Luo, M., Mallal, S., van Manen, D., Martinez-Picado, J., Meyer, L., Miro, J.M., Mullins, J.I., Obel, N., Poli, G., Sandhu, M.S., Schuitemaker, H., Shea, P.R., Theodorou, I., Walker, B.D., Weintrob, A.C., Winkler, C.A., Wolinsky, S.M., Raychaudhuri, S., Goldstein, D.B., Telenti, A., de Bakker, P.I.W., Zagury, J-F, Fellay, J., McLaren, P.J., Coulonges, C., Bartha, I., Lenz, T.L., Deutsch, A.J., Bashirova, A., Buchbinder, S., Carrington, M.N., Cossarizza, A., Dalmau, J., De Luca, A., Goedert, J.J., Gurdasani, D., Haas, D.W., Herbeck, J.T., Johnson, E.O., Kirk, G.D., Lambotte, O., Luo, M., Mallal, S., van Manen, D., Martinez-Picado, J., Meyer, L., Miro, J.M., Mullins, J.I., Obel, N., Poli, G., Sandhu, M.S., Schuitemaker, H., Shea, P.R., Theodorou, I., Walker, B.D., Weintrob, A.C., Winkler, C.A., Wolinsky, S.M., Raychaudhuri, S., Goldstein, D.B., Telenti, A., de Bakker, P.I.W., Zagury, J-F, and Fellay, J.
Abstract: Previous genome-wide association studies (GWAS) of HIV-1–infected populations have been underpowered to detect common variants with moderate impact on disease outcome and have not assessed the phenotypic variance explained by genome-wide additive effects. By combining the majority of available genome-wide genotyping data in HIV-infected populations, we tested for association between ∼8 million variants and viral load (HIV RNA copies per milliliter of plasma) in 6,315 individuals of European ancestry. The strongest signal of association was observed in the HLA class I region that was fully explained by independent effects mapping to five variable amino acid positions in the peptide binding grooves of the HLA-B and HLA-A proteins. We observed a second genome-wide significant association signal in the chemokine (C-C motif) receptor (CCR) gene cluster on chromosome 3. Conditional analysis showed that this signal could not be fully attributed to the known protective CCR5Δ32 allele and the risk P1 haplotype, suggesting further causal variants in this region. Heritability analysis demonstrated that common human genetic variation—mostly in the HLA and CCR5 regions—explains 25% of the variability in viral load. This study suggests that analyses in non-European populations and of variant classes not assessed by GWAS should be priorities for the field going forward.
Published: 2015

11. Challenges and opportunities in pharmacogenomics: studies in cardiovascular disease and asthma

Author: Sub Pharmacotherapy, Theoretical, Pharmacoepidemiology and Clinical Pharmacology, de Boer, Ton, de Bakker, P.I.W., Maitland - van der Zee, Anke-Hilse, Onland-Moret, N.C., Leusink, M., Sub Pharmacotherapy, Theoretical, Pharmacoepidemiology and Clinical Pharmacology, de Boer, Ton, de Bakker, P.I.W., Maitland - van der Zee, Anke-Hilse, Onland-Moret, N.C., and Leusink, M.
Published: 2015

12. Genome-wide association study of lymphoblast cell viability after clozapine exposure

Author: de With, S.A.J., primary, Pulit, S.L., additional, Wang, T., additional, Staal, W.G., additional, Solinge, W.W.van, additional, de Bakker, P.I.W., additional, and Ophoff, R.A., additional
Published: 2015
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13. No evidence for shared genetic basis of common variants in multiple sclerosis and amyotrophic lateral sclerosis

Author: Goris, A., van Setten, J., Diekstra, F., Ripke, S., Patsopoulos, N.A., Sawcer, S.J., van Es, M., Andersen, P.M., Melki, J., Meininger, V., Hardiman, O., Landers, J.E., Brown, R.H., Shatunov, A., Leigh, N., Al-Chalabi, A., Shaw, C.E., Traynor, B.J., Chio, A., Restagno, G., Mora, G., Ophoff, R.A., Oksenberg, J.R., Van Damme, P., Compston, A., Robberecht, W., Dubois, B., van den Berg, L.H., De Jager, P.L., Veldink, J.H., de Bakker, P.I.W., Kermode, A.G., Goris, A., van Setten, J., Diekstra, F., Ripke, S., Patsopoulos, N.A., Sawcer, S.J., van Es, M., Andersen, P.M., Melki, J., Meininger, V., Hardiman, O., Landers, J.E., Brown, R.H., Shatunov, A., Leigh, N., Al-Chalabi, A., Shaw, C.E., Traynor, B.J., Chio, A., Restagno, G., Mora, G., Ophoff, R.A., Oksenberg, J.R., Van Damme, P., Compston, A., Robberecht, W., Dubois, B., van den Berg, L.H., De Jager, P.L., Veldink, J.H., de Bakker, P.I.W., and Kermode, A.G.
Abstract: Genome-wide association studies have been successful in identifying common variants that influence the susceptibility to complex diseases. From these studies, it has emerged that there is substantial overlap in susceptibility loci between diseases. In line with those findings, we hypothesized that shared genetic pathways may exist between multiple sclerosis (MS) and amyotrophic lateral sclerosis (ALS). While both diseases may have inflammatory and neurodegenerative features, epidemiological studies have indicated an increased co-occurrence within individuals and families. To this purpose, we combined genome-wide data from 4088 MS patients, 3762 ALS patients and 12 030 healthy control individuals in whom 5 440 446 single-nucleotide polymorphisms (SNPs) were successfully genotyped or imputed. We tested these SNPs for the excess association shared between MS and ALS and also explored whether polygenic models of SNPs below genome-wide significance could explain some of the observed trait variance between diseases. Genome-wide association meta-analysis of SNPs as well as polygenic analyses fails to provide evidence in favor of an overlap in genetic susceptibility between MS and ALS. Hence, our findings do not support a shared genetic background of common risk variants in MS and ALS.
Published: 2014

14. Association study of common genetic variants and HIV-1 acquisition in 6,300 infected cases and 7,200 controls

Author: Balloux, F., McLaren, P.J., Coulonges, C., Ripke, S., van den Berg, L., Buchbinder, S., Carrington, M., Cossarizza, A., Dalmau, J., Deeks, S.G., Delaneau, O., De Luca, A., Goedert, J.J., Haas, D., Herbeck, J.T., Kathiresan, S., Kirk, G.D., Lambotte, O., Luo, M., Mallal, S., van Manen, D., Martinez-Picado, J., Meyer, L., Miro, J.M., Mullins, J.I., Obel, N., O'Brien, S.J., Pereyra, F., Plummer, F.A., Poli, G., Qi, Y., Rucart, P., Sandhu, M.S., Shea, P.R., Schuitemaker, H., Theodorou, I., Vannberg, F., Veldink, J., Walker, B.D., Weintrob, A., Winkler, C.A., Wolinsky, S., Telenti, A., Goldstein, D.B., de Bakker, P.I.W., Zagury, J-F, Fellay, J., Balloux, F., McLaren, P.J., Coulonges, C., Ripke, S., van den Berg, L., Buchbinder, S., Carrington, M., Cossarizza, A., Dalmau, J., Deeks, S.G., Delaneau, O., De Luca, A., Goedert, J.J., Haas, D., Herbeck, J.T., Kathiresan, S., Kirk, G.D., Lambotte, O., Luo, M., Mallal, S., van Manen, D., Martinez-Picado, J., Meyer, L., Miro, J.M., Mullins, J.I., Obel, N., O'Brien, S.J., Pereyra, F., Plummer, F.A., Poli, G., Qi, Y., Rucart, P., Sandhu, M.S., Shea, P.R., Schuitemaker, H., Theodorou, I., Vannberg, F., Veldink, J., Walker, B.D., Weintrob, A., Winkler, C.A., Wolinsky, S., Telenti, A., Goldstein, D.B., de Bakker, P.I.W., Zagury, J-F, and Fellay, J.
Abstract: Multiple genome-wide association studies (GWAS) have been performed in HIV-1 infected individuals, identifying common genetic influences on viral control and disease course. Similarly, common genetic correlates of acquisition of HIV-1 after exposure have been interrogated using GWAS, although in generally small samples. Under the auspices of the International Collaboration for the Genomics of HIV, we have combined the genome-wide single nucleotide polymorphism (SNP) data collected by 25 cohorts, studies, or institutions on HIV-1 infected individuals and compared them to carefully matched population-level data sets (a list of all collaborators appears in Note S1 in Text S1). After imputation using the 1,000 Genomes Project reference panel, we tested approximately 8 million common DNA variants (SNPs and indels) for association with HIV-1 acquisition in 6,334 infected patients and 7,247 population samples of European ancestry. Initial association testing identified the SNP rs4418214, the C allele of which is known to tag the HLA-B*57:01 and B*27:05 alleles, as genome-wide significant (p = 3.6×10−11). However, restricting analysis to individuals with a known date of seroconversion suggested that this association was due to the frailty bias in studies of lethal diseases. Further analyses including testing recessive genetic models, testing for bulk effects of non-genome-wide significant variants, stratifying by sexual or parenteral transmission risk and testing previously reported associations showed no evidence for genetic influence on HIV-1 acquisition (with the exception of CCR5Δ32 homozygosity). Thus, these data suggest that genetic influences on HIV acquisition are either rare or have smaller effects than can be detected by this sample size.
Published: 2013

15. Fine-mapping classical HLA variation associated with durable host control of HIV-1 infection in African Americans

Author: McLaren, P.J., Ripke, S., Pelak, K., Weintrob, A.C., Patsopoulos, N.A., Jia, X., Erlich, R.L., Lennon, N.J., Kadie, C.M., Heckerman, D., Gupta, N., Haas, D.W., Deeks, S.G., Pereyra, F., Walker, B.D., de Bakker, P.I.W., John, M., McLaren, P.J., Ripke, S., Pelak, K., Weintrob, A.C., Patsopoulos, N.A., Jia, X., Erlich, R.L., Lennon, N.J., Kadie, C.M., Heckerman, D., Gupta, N., Haas, D.W., Deeks, S.G., Pereyra, F., Walker, B.D., de Bakker, P.I.W., and John, M.
Abstract: A small proportion of human immunodeficiency virus-1 (HIV-1) infected individuals, termed HIV-1 controllers, suppress viral replication to very low levels in the absence of therapy. Genetic investigations of this phenotype have strongly implicated variation in the class I major histocompatibility complex (MHC) region as key to HIV-1 control. We collected sequence-based classical class I HLA genotypes at 4-digit resolution in HIV-1-infected African American controllers and progressors (n = 1107), and tested them for association with host control using genome-wide single nucleotide polymorphism data to account for population structure. Several classical alleles at HLA-B were associated with host control, including B*57:03 [odds ratio (OR) = 5.1; P= 3.4 × 10(-18)] and B*81:01 (OR = 4.8; P= 1.3 × 10(-9)). Analysis of variable amino acid positions demonstrates that HLA-B position 97 is the most significant association with host control in African Americans (omnibus P = 1.2 × 10(-21)) and explains the signal of several HLA-B alleles, including B*57:03. Within HLA-B, we also identified independent effects at position 116 (omnibus P= 2.8 × 10(-15)) in the canonical F pocket, position 63 in the B pocket (P= 1.5 × 10(-3)) and the non-pocket position 245 (P= 8.8 × 10(-10)), which is thought to influence CD8-binding kinetics. Adjusting for these HLA-B effects, there is evidence for residual association in the MHC region. These results underscore the key role of HLA-B in affecting HIV-1 replication, likely through the molecular interaction between HLA-B and viral peptides presented by infected cells, and suggest that sites outside the peptide-binding pocket also influence HIV-1 control.
Published: 2012

16. Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data

Author: Wang, J.H., Pappas, D., De Jager, P.L., Pelletier, D., de Bakker, P.I.W., Kappos, L., Polman, C.H., Chibnik, L.B., Hafler, D.A., Matthews, P.M., Hauser, S.L., Baranzini, S.E., Oksenberg, J.R., Kermode, A.G., Wang, J.H., Pappas, D., De Jager, P.L., Pelletier, D., de Bakker, P.I.W., Kappos, L., Polman, C.H., Chibnik, L.B., Hafler, D.A., Matthews, P.M., Hauser, S.L., Baranzini, S.E., Oksenberg, J.R., and Kermode, A.G.
Abstract: BACKGROUND: Multiple sclerosis (MS) is the most common cause of chronic neurologic disability beginning in early to middle adult life. Results from recent genome-wide association studies (GWAS) have substantially lengthened the list of disease loci and provide convincing evidence supporting a multifactorial and polygenic model of inheritance. Nevertheless, the knowledge of MS genetics remains incomplete, with many risk alleles still to be revealed. METHODS: We used a discovery GWAS dataset (8,844 samples, 2,124 cases and 6,720 controls) and a multi-step logistic regression protocol to identify novel genetic associations. The emerging genetic profile included 350 independent markers and was used to calculate and estimate the cumulative genetic risk in an independent validation dataset (3,606 samples). Analysis of covariance (ANCOVA) was implemented to compare clinical characteristics of individuals with various degrees of genetic risk. Gene ontology and pathway enrichment analysis was done using the DAVID functional annotation tool, the GO Tree Machine, and the Pathway-Express profiling tool. RESULTS: In the discovery dataset, the median cumulative genetic risk (P-Hat) was 0.903 and 0.007 in the case and control groups, respectively, together with 79.9% classification sensitivity and 95.8% specificity. The identified profile shows a significant enrichment of genes involved in the immune response, cell adhesion, cell communication/signaling, nervous system development, and neuronal signaling, including ionotropic glutamate receptors, which have been implicated in the pathological mechanism driving neurodegeneration. In the validation dataset, the median cumulative genetic risk was 0.59 and 0.32 in the case and control groups, respectively, with classification sensitivity 62.3% and specificity 75.9%. No differences in disease progression or T2-lesion volumes were observed among four levels of predicted genetic risk groups (high, medium, low, misclassified). On the othe
Published: 2011

17. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

Author: Sawcer, S., Hellenthal, G., Pirinen, M., Spencer, C.C.A., Patsopoulos, N.A., Moutsianas, L., Dilthey, A., Su, Z., Freeman, C., Hunt, S.E., Edkins, S., Gray, E., Booth, D.R., Potter, S.C., Goris, A., Band, G., Bang Oturai, A., Strange, A., Saarela, J., Bellenguez, C., Fontaine, B., Gillman, M., Hemmer, B., Gwilliam, R., Zipp, F., Jayakumar, A., Martin, R., Leslie, S., Hawkins, S., Giannoulatou, E., D’alfonso, S., Blackburn, H., Martinelli Boneschi, F., Liddle, J., Harbo, H.F., Perez, M.L., Spurkland, A., Waller, M.J., Mycko, M.P., Ricketts, M., Comabella, M., Hammond, N., Kockum, I., McCann, O.T., Ban, M., Whittaker, P., Kemppinen, A., Weston, P., Hawkins, C., Widaa, S., Zajicek, J., Dronov, S., Robertson, N., Bumpstead, S.J., Barcellos, L.F., Ravindrarajah, R., Abraham, R., Alfredsson, L., Ardlie, K., Aubin, C., Baker, A., Baker, K., Baranzini, S.E., Bergamaschi, L., Bergamaschi, R., Bernstein, A., Berthele, A., Boggild, M., Bradfield, J.P., Brassat, D., Broadley, S.A., Buck, D., Butzkueven, H., Capra, R., Carroll, W.M., Cavalla, P., Celius, E.G., Cepok, S., Chiavacci, R., Clerget-Darpoux, F., Clysters, K., Comi, G., Cossburn, M., Cournu-Rebeix, I., Cox, M.B., Cozen, W., Cree, B.A.C., Cross, A.H., Cusi, D., Daly, M.J., Davis, E., de Bakker, P.I.W., Debouverie, M., D’hooghe, M.B., Dixon, K., Dobosi, R., Dubois, B., Ellinghaus, D., Elovaara, I., Esposito, F., Fontenille, C., Foote, S., Franke, A., Galimberti, D., Ghezzi, A., Glessner, J., Gomez, R., Gout, O., Graham, C., Grant, S.F.A., Rosa Guerini, F., Hakonarson, H., Hall, P., Hamsten, A., Hartung, H-P, Heard, R.N., Heath, S., Hobart, J., Hoshi, M., Infante-Duarte, C., Ingram, G., Ingram, W., Islam, T., Jagodic, M., Kabesch, M., Kermode, A.G., Kilpatrick, T.J., Kim, C., Klopp, N., Koivisto, K., Larsson, M., Lathrop, M., Lechner-Scott, J.S., Leone, M.A., Leppä, V., Liljedahl, U., Lima Bomfim, I., Lincoln, R.R., Link, J., Liu, J., Lorentzen, Å.R., Lupoli, S., Macciardi, F., Mack, T., Marriott, M., Martinelli, V., Mason, D., McCauley, J.L., Mentch, F., Mero, I-L, Mihalova, T., Montalban, X., Mottershead, J., Myhr, K-M, Naldi, P., Ollier, W., Page, A., Palotie, A., Pelletier, J., Piccio, L., Pickersgill, T., Piehl, F., Pobywajlo, S., Quach, H.L., Ramsay, P.P., Reunanen, M., Reynolds, R., Rioux, J.D., Rodegher, M., Roesner, S., Rubio, J.P., Rückert, I-M, Salvetti, M., Salvi, E., Santaniello, A., Schaefer, C.A., Schreiber, S., Schulze, C., Scott, R.J., Sellebjerg, F., Selmaj, K.W., Sexton, D., Shen, L., Simms-Acuna, B., Skidmore, S., Sleiman, P.M.A., Smestad, C., Sørensen, P.S., Søndergaard, H.B., Stankovich, J., Strange, R.C., Sulonen, A-M, Sundqvist, E., Syvänen, A-C, Taddeo, F., Taylor, B., Blackwell, J.M., Tienari, P., Bramon, E., Tourbah, A., Brown, M.A., Tronczynska, E., Casas, J.P., Tubridy, N., Corvin, A., Vickery, J., Jankowski, J., Villoslada, P., Markus, H.S., Wang, K., Mathew, C.G., Wason, J., Palmer, C.N.A., Wichmann, H-E, Plomin, R., Willoughby, E., Rautanen, A., Winkelmann, J., Wittig, M., Trembath, R.C., Yaouanq, J., Viswanathan, A.C., Zhang, H., Wood, N.W., Zuvich, R., Deloukas, P., Langford, C., Duncanson, A., Oksenberg, J.R., Pericak-Vance, M.A., Haines, J.L., Olsson, T., Hillert, J., Ivinson, A.J., De Jager, P.L., Peltonen, L., Stewart, G.J., Hafler, D.A., Hauser, S.L., McVean, G., Donnelly, P., Compston, A., Sawcer, S., Hellenthal, G., Pirinen, M., Spencer, C.C.A., Patsopoulos, N.A., Moutsianas, L., Dilthey, A., Su, Z., Freeman, C., Hunt, S.E., Edkins, S., Gray, E., Booth, D.R., Potter, S.C., Goris, A., Band, G., Bang Oturai, A., Strange, A., Saarela, J., Bellenguez, C., Fontaine, B., Gillman, M., Hemmer, B., Gwilliam, R., Zipp, F., Jayakumar, A., Martin, R., Leslie, S., Hawkins, S., Giannoulatou, E., D’alfonso, S., Blackburn, H., Martinelli Boneschi, F., Liddle, J., Harbo, H.F., Perez, M.L., Spurkland, A., Waller, M.J., Mycko, M.P., Ricketts, M., Comabella, M., Hammond, N., Kockum, I., McCann, O.T., Ban, M., Whittaker, P., Kemppinen, A., Weston, P., Hawkins, C., Widaa, S., Zajicek, J., Dronov, S., Robertson, N., Bumpstead, S.J., Barcellos, L.F., Ravindrarajah, R., Abraham, R., Alfredsson, L., Ardlie, K., Aubin, C., Baker, A., Baker, K., Baranzini, S.E., Bergamaschi, L., Bergamaschi, R., Bernstein, A., Berthele, A., Boggild, M., Bradfield, J.P., Brassat, D., Broadley, S.A., Buck, D., Butzkueven, H., Capra, R., Carroll, W.M., Cavalla, P., Celius, E.G., Cepok, S., Chiavacci, R., Clerget-Darpoux, F., Clysters, K., Comi, G., Cossburn, M., Cournu-Rebeix, I., Cox, M.B., Cozen, W., Cree, B.A.C., Cross, A.H., Cusi, D., Daly, M.J., Davis, E., de Bakker, P.I.W., Debouverie, M., D’hooghe, M.B., Dixon, K., Dobosi, R., Dubois, B., Ellinghaus, D., Elovaara, I., Esposito, F., Fontenille, C., Foote, S., Franke, A., Galimberti, D., Ghezzi, A., Glessner, J., Gomez, R., Gout, O., Graham, C., Grant, S.F.A., Rosa Guerini, F., Hakonarson, H., Hall, P., Hamsten, A., Hartung, H-P, Heard, R.N., Heath, S., Hobart, J., Hoshi, M., Infante-Duarte, C., Ingram, G., Ingram, W., Islam, T., Jagodic, M., Kabesch, M., Kermode, A.G., Kilpatrick, T.J., Kim, C., Klopp, N., Koivisto, K., Larsson, M., Lathrop, M., Lechner-Scott, J.S., Leone, M.A., Leppä, V., Liljedahl, U., Lima Bomfim, I., Lincoln, R.R., Link, J., Liu, J., Lorentzen, Å.R., Lupoli, S., Macciardi, F., Mack, T., Marriott, M., Martinelli, V., Mason, D., McCauley, J.L., Mentch, F., Mero, I-L, Mihalova, T., Montalban, X., Mottershead, J., Myhr, K-M, Naldi, P., Ollier, W., Page, A., Palotie, A., Pelletier, J., Piccio, L., Pickersgill, T., Piehl, F., Pobywajlo, S., Quach, H.L., Ramsay, P.P., Reunanen, M., Reynolds, R., Rioux, J.D., Rodegher, M., Roesner, S., Rubio, J.P., Rückert, I-M, Salvetti, M., Salvi, E., Santaniello, A., Schaefer, C.A., Schreiber, S., Schulze, C., Scott, R.J., Sellebjerg, F., Selmaj, K.W., Sexton, D., Shen, L., Simms-Acuna, B., Skidmore, S., Sleiman, P.M.A., Smestad, C., Sørensen, P.S., Søndergaard, H.B., Stankovich, J., Strange, R.C., Sulonen, A-M, Sundqvist, E., Syvänen, A-C, Taddeo, F., Taylor, B., Blackwell, J.M., Tienari, P., Bramon, E., Tourbah, A., Brown, M.A., Tronczynska, E., Casas, J.P., Tubridy, N., Corvin, A., Vickery, J., Jankowski, J., Villoslada, P., Markus, H.S., Wang, K., Mathew, C.G., Wason, J., Palmer, C.N.A., Wichmann, H-E, Plomin, R., Willoughby, E., Rautanen, A., Winkelmann, J., Wittig, M., Trembath, R.C., Yaouanq, J., Viswanathan, A.C., Zhang, H., Wood, N.W., Zuvich, R., Deloukas, P., Langford, C., Duncanson, A., Oksenberg, J.R., Pericak-Vance, M.A., Haines, J.L., Olsson, T., Hillert, J., Ivinson, A.J., De Jager, P.L., Peltonen, L., Stewart, G.J., Hafler, D.A., Hauser, S.L., McVean, G., Donnelly, P., and Compston, A.
Abstract: Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability1. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals2, 3, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk4. Modestly powered genome-wide association studies (GWAS)5, 6, 7, 8, 9, 10 have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility11. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis.
Published: 2011

18. Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci

Author: Patsopoulos, N.A., de Bakker, P.I.W., Kermode, A.G., Patsopoulos, N.A., de Bakker, P.I.W., and Kermode, A.G.
Abstract: Objective: To perform a 1-stage meta-analysis of genome-wide association studies (GWAS) of multiple sclerosis (MS) susceptibility and to explore functional consequences of new susceptibility loci. Methods: We synthesized 7 MS GWAS. Each data set was imputed using HapMap phase II, and a per single nucleotide polymorphism (SNP) meta-analysis was performed across the 7 data sets. We explored RNA expression data using a quantitative trait analysis in peripheral blood mononuclear cells (PBMCs) of 228 subjects with demyelinating disease. Results: We meta-analyzed 2,529,394 unique SNPs in 5,545 cases and 12,153 controls. We identified 3 novel susceptibility alleles: rs170934T at 3p24.1 (odds ratio [OR], 1.17; p = 1.6 × 10−8) near EOMES, rs2150702G in the second intron of MLANA on chromosome 9p24.1 (OR, 1.16; p = 3.3 × 10−8), and rs6718520A in an intergenic region on chromosome 2p21, with THADA as the nearest flanking gene (OR, 1.17; p = 3.4 × 10−8). The 3 new loci do not have a strong cis effect on RNA expression in PBMCs. Ten other susceptibility loci had a suggestive p < 1 × 10−6, some of these loci have evidence of association in other inflammatory diseases (ie, IL12B, TAGAP, PLEK, and ZMIZ1).
Published: 2011

19. Quantitative Trait Loci for CD4:CD8 Lymphocyte Ratio Are Associated with Risk of Type 1 Diabetes and HIV-1 Immune Control

Author: Ferreira, M.A.R., Mangino, M., Brumme, C.J., Zhao, Z.Z., Medland, S.E., Wright, M.J., Nyholt, D.R., Gordon, S., Campbell, M., McEvoy, B.P., Henders, A., Evans, D.M., Lanchbury, J.S., Pereyra, F., Walker, B.D., Haas, D.W., Soranzo, N., Spector, T.D., de Bakker, P.I.W., Frazer, I.H., Montgomery, G.W., Martin, N.G., John, M., Ferreira, M.A.R., Mangino, M., Brumme, C.J., Zhao, Z.Z., Medland, S.E., Wright, M.J., Nyholt, D.R., Gordon, S., Campbell, M., McEvoy, B.P., Henders, A., Evans, D.M., Lanchbury, J.S., Pereyra, F., Walker, B.D., Haas, D.W., Soranzo, N., Spector, T.D., de Bakker, P.I.W., Frazer, I.H., Montgomery, G.W., Martin, N.G., and John, M.
Abstract: Abnormal expansion or depletion of particular lymphocyte subsets is associated with clinical manifestations such as HIV progression to AIDS and autoimmune disease. We sought to identify genetic predictors of lymphocyte levels and reasoned that these may play a role in immune-related diseases. We tested 2.3 million variants for association with five lymphocyte subsets, measured in 2538 individuals from the general population, including CD4+ T cells, CD8+ T cells, CD56+ natural killer (NK) cells, and the derived measure CD4:CD8 ratio. We identified two regions of strong association. The first was located in the major histocompatibility complex (MHC), with multiple SNPs strongly associated with CD4:CD8 ratio (rs2524054, p = 2.1 × 10−28). The second region was centered within a cluster of genes from the Schlafen family and was associated with NK cell levels (rs1838149, p = 6.1 × 10−14). The MHC association with CD4:CD8 replicated convincingly (p = 1.4 × 10−9) in an independent panel of 988 individuals. Conditional analyses indicate that there are two major independent quantitative trait loci (QTL) in the MHC region that regulate CD4:CD8 ratio: one is located in the class I cluster and influences CD8 levels, whereas the second is located in the class II cluster and regulates CD4 levels. Jointly, both QTL explained 8% of the variance in CD4:CD8 ratio. The class I variants are also strongly associated with durable host control of HIV, and class II variants are associated with type-1 diabetes, suggesting that genetic variation at the MHC may predispose one to immune-related diseases partly through disregulation of T cell homeostasis.
Published: 2010

20. The major genetic determinants of HIV-1 control affect HLA class I peptide presentation

Author: Pereyra, F., Jia, X., McLaren, P.J., Telenti, A., de Bakker, P.I.W., Walker, B.D., Ripke, S., Brumme, C.J., Pulit, S.L., Carrington, M., Kadie, C.M., Carlson, J.M., Heckerman, D., Graham, R.R., Plenge, R.M., Deeks, S.G., Gianniny, L., Crawford, G., Sullivan, J., Gonzalez, E., Davies, L., Camargo, A., Moore, J.M, Beattie, N., Gupta, S., Crenshaw, A., Burtt, N.P., Guiducci, C., Gupta, N., Gao, X., Qi, Y., Yuki, Y., Piechocka-Trocha, A., Cutrell, E., Rosenberg, R., Moss, K.L., Lemay, P., O'Leary, J., Schaefer, T., Verma, P., Tóth, I., Block, B., Baker, B., Rothchild, A., Lian, J., Proudfoot, J., Alvino, D.M.L., Vine, S., Addo, M.M., Allen, T.M., Altfeld, M., Henn, M.R., Le Gall, S., Streeck, H., Haas, D.W., Kuritzkes, D.R., Robbins, G.K., Shafer, R.W., Gulick, R.M., Shikuma, C.M., Haubrich, R., Riddler, S., Sax, P.E., Daar, E.S., Ribaudo, H.J., Agan, B., Agarwal, S., Ahern, R.L., Allen, B.L., Altidor, S., Altschuler, E.L., Ambardar, S., Anastos, K., Anderson, B., Anderson, V., Andrady, U., Antoniskis, D., Bangsberg, D., Barbaro, D., Barrie, W., Bartczak, J., Barton, S., Basden, P., Basgoz, N., Bazner, S., Bellos, N.C., Benson, A.M., Berger, J., Bernard, N.F., Bernard, A.M., Birch, C., Bodner, S.J., Bolan, R.K., Boudreaux, E.T., Bradley, M., Braun, J.F., Brndjar, J.E., Brown, S.J., Brown, K., Brown, S.T., Burack, J., Bush, L.M., Cafaro, V., Campbell, O., Campbell, J., Carlson, R.H., Carmichael, J.K., Casey, K.K., Cavacuiti, C., Celestin, G., Chambers, S.T., Chez, N., Chirch, L.M., Cimoch, P.J., Cohen, D., Cohn, L.E., Conway, B., Cooper, D.A., Cornelson, B., Cox, D.T., Cristofano, M.V., Cuchural, G., Czartoski, J.L., Dahman, J.M., Daly, J.S., Davis, B.T., Davis, K., Davod, S.M., DeJesus, E., Dietz, C.A., Dunham, E., Dunn, M.E., Ellerin, T.B., Eron, J.J., Fangman, J.J.W., Farel, C.E., Ferlazzo, H., Fidler, S., Fleenor-Ford, A., Frankel, R., Freedberg, K.A., French, N.K., Fuchs, J.D., Fuller, J.D., Gaberman, J., Gallant, J.E., Gandhi, R.T., García, E., Garmon, D., Gathe, J.C., Gaultier, C.R., Gebre, W., Gilman, F.D., Gilson, I., Goepfert, P.A., Gottlieb, M.S., Goulston, C., Groger, R.K., Gurley, T.D., Haber, S., Hardwicke, R., Hardy, W.D., Harrigan, P.R., Hawkins, T.N., Heath, S., Hecht, F.M., Henry, W.K., Hladek, M., Hoffman, R.P., Horton, J.M., Hsu, R.K., Huhn, G.D., Hunt, P., Hupert, M.J., Illeman, M.L., Jaeger, H., Jellinger, R.M., John, M., Johnson, J.A., Johnson, K.L., Johnson, H., Johnson, K., Joly, J., Jordan, W.C., Kauffman, C.A., Khanlou, H., Killian, R.K., Kim, A.Y., Kim, D.D., Kinder, C.A., Kirchner, J.T., Kogelman, L., Kojic, E.M., Korthuis, P.T., Kurisu, W., Kwon, D.S., LaMar, M., Lampiris, H., Lanzafame, M., Lederman, M.M., Lee, D.M., Lee, J.M.L., Lee, M.J., Lee, E.T.Y., Lemoine, J., Levy, J.A., Llibre, J.M., Liguori, M.A., Little, S.J., Liu, A.Y., Lopez, A.J., Loutfy, M.R., Loy, D., Mohammed, D.Y., Man, A., Mansour, M.K., Marconi, V.C., Markowitz, M., Marques, R., Martin, J.N., Martin, H.L., Mayer, K.H., McElrath, M.J., McGhee, T.A., McGovern, B.H., McGowan, K., McIntyre, D., Mcleod, G.X., Menezes, P., Mesa, G., Metroka, C.E., Meyer-Olson, D., Miller, A.O., Montgomery, K., Mounzer, K.C., Nagami, E.H., Nagin, I., Nahass, R.G., Nelson, M.O., Nielsen, C., Norene, D.L., O'Connor, D.H., Ojikutu, B.O., Okulicz, J., Oladehin, O.O., Oldfield, E.C., Olender, S.A., Ostrowski, M., Owen, W.F., Pae, E., Parsonnet, J., Pavlatos, A.M., Perlmutter, A.M., Pierce, M.N., Pincus, J.M., Pisani, L., Price, L.J., Proia, L., Prokesch, R.C., Pujet, H.C., Ramgopal, M., Rathod, A., Rausch, M., Ravishankar, J., Rhame, F.S., Richards, C.S., Richman, D.D., Rodes, B., Rodriguez, M., Rose, R.C., Rosenberg, E.S., Rosenthal, D., Ross, P.E., Rubin, D.S., Rumbaugh, E., Saenz, L., Salvaggio, M.R., Sanchez, W.C., Sanjana, V.M., Santiago, S., Schmidt, W., Schuitemaker, H., Sestak, P.M., Shalit, P., Shay, W., Shirvani, V.N., Silebi, V.I., Sizemore, J.M., Skolnik, P.R., Sokol-Anderson, M., Sosman, J.M., Stabile, P., Stapleton, J.T., Starrett, S., Stein, F., Stellbrink, H-J, Sterman, F.L., Stone, V.E., Stone, D.R., Tambussi, G., Taplitz, R.A., Tedaldi, E.M., Theisen, W., Torres, R., Tosiello, L., Tremblay, C., Tribble, M.A., Trinh, P.D., Tsao, A., Ueda, P., Vaccaro, A., Valadas, E., Vanig, T.J., Vecino, I., Vega, V.M., Veikley, W., Wade, B.H., Walworth, C., Wanidworanun, C., Ward, D.J., Warner, D.A., Weber, R.D., Webster, D., Weis, S., Wheeler, D.A., White, D.J., Wilkins, E., Winston, A., Wlodaver, C.G., van't Wout, A., Wright, D.P., Yang, O.O., Yurdin, D.L., Zabukovic, B.W., Zachary, K.C., Zeeman, B., Zhao, M., Pereyra, F., Jia, X., McLaren, P.J., Telenti, A., de Bakker, P.I.W., Walker, B.D., Ripke, S., Brumme, C.J., Pulit, S.L., Carrington, M., Kadie, C.M., Carlson, J.M., Heckerman, D., Graham, R.R., Plenge, R.M., Deeks, S.G., Gianniny, L., Crawford, G., Sullivan, J., Gonzalez, E., Davies, L., Camargo, A., Moore, J.M, Beattie, N., Gupta, S., Crenshaw, A., Burtt, N.P., Guiducci, C., Gupta, N., Gao, X., Qi, Y., Yuki, Y., Piechocka-Trocha, A., Cutrell, E., Rosenberg, R., Moss, K.L., Lemay, P., O'Leary, J., Schaefer, T., Verma, P., Tóth, I., Block, B., Baker, B., Rothchild, A., Lian, J., Proudfoot, J., Alvino, D.M.L., Vine, S., Addo, M.M., Allen, T.M., Altfeld, M., Henn, M.R., Le Gall, S., Streeck, H., Haas, D.W., Kuritzkes, D.R., Robbins, G.K., Shafer, R.W., Gulick, R.M., Shikuma, C.M., Haubrich, R., Riddler, S., Sax, P.E., Daar, E.S., Ribaudo, H.J., Agan, B., Agarwal, S., Ahern, R.L., Allen, B.L., Altidor, S., Altschuler, E.L., Ambardar, S., Anastos, K., Anderson, B., Anderson, V., Andrady, U., Antoniskis, D., Bangsberg, D., Barbaro, D., Barrie, W., Bartczak, J., Barton, S., Basden, P., Basgoz, N., Bazner, S., Bellos, N.C., Benson, A.M., Berger, J., Bernard, N.F., Bernard, A.M., Birch, C., Bodner, S.J., Bolan, R.K., Boudreaux, E.T., Bradley, M., Braun, J.F., Brndjar, J.E., Brown, S.J., Brown, K., Brown, S.T., Burack, J., Bush, L.M., Cafaro, V., Campbell, O., Campbell, J., Carlson, R.H., Carmichael, J.K., Casey, K.K., Cavacuiti, C., Celestin, G., Chambers, S.T., Chez, N., Chirch, L.M., Cimoch, P.J., Cohen, D., Cohn, L.E., Conway, B., Cooper, D.A., Cornelson, B., Cox, D.T., Cristofano, M.V., Cuchural, G., Czartoski, J.L., Dahman, J.M., Daly, J.S., Davis, B.T., Davis, K., Davod, S.M., DeJesus, E., Dietz, C.A., Dunham, E., Dunn, M.E., Ellerin, T.B., Eron, J.J., Fangman, J.J.W., Farel, C.E., Ferlazzo, H., Fidler, S., Fleenor-Ford, A., Frankel, R., Freedberg, K.A., French, N.K., Fuchs, J.D., Fuller, J.D., Gaberman, J., Gallant, J.E., Gandhi, R.T., García, E., Garmon, D., Gathe, J.C., Gaultier, C.R., Gebre, W., Gilman, F.D., Gilson, I., Goepfert, P.A., Gottlieb, M.S., Goulston, C., Groger, R.K., Gurley, T.D., Haber, S., Hardwicke, R., Hardy, W.D., Harrigan, P.R., Hawkins, T.N., Heath, S., Hecht, F.M., Henry, W.K., Hladek, M., Hoffman, R.P., Horton, J.M., Hsu, R.K., Huhn, G.D., Hunt, P., Hupert, M.J., Illeman, M.L., Jaeger, H., Jellinger, R.M., John, M., Johnson, J.A., Johnson, K.L., Johnson, H., Johnson, K., Joly, J., Jordan, W.C., Kauffman, C.A., Khanlou, H., Killian, R.K., Kim, A.Y., Kim, D.D., Kinder, C.A., Kirchner, J.T., Kogelman, L., Kojic, E.M., Korthuis, P.T., Kurisu, W., Kwon, D.S., LaMar, M., Lampiris, H., Lanzafame, M., Lederman, M.M., Lee, D.M., Lee, J.M.L., Lee, M.J., Lee, E.T.Y., Lemoine, J., Levy, J.A., Llibre, J.M., Liguori, M.A., Little, S.J., Liu, A.Y., Lopez, A.J., Loutfy, M.R., Loy, D., Mohammed, D.Y., Man, A., Mansour, M.K., Marconi, V.C., Markowitz, M., Marques, R., Martin, J.N., Martin, H.L., Mayer, K.H., McElrath, M.J., McGhee, T.A., McGovern, B.H., McGowan, K., McIntyre, D., Mcleod, G.X., Menezes, P., Mesa, G., Metroka, C.E., Meyer-Olson, D., Miller, A.O., Montgomery, K., Mounzer, K.C., Nagami, E.H., Nagin, I., Nahass, R.G., Nelson, M.O., Nielsen, C., Norene, D.L., O'Connor, D.H., Ojikutu, B.O., Okulicz, J., Oladehin, O.O., Oldfield, E.C., Olender, S.A., Ostrowski, M., Owen, W.F., Pae, E., Parsonnet, J., Pavlatos, A.M., Perlmutter, A.M., Pierce, M.N., Pincus, J.M., Pisani, L., Price, L.J., Proia, L., Prokesch, R.C., Pujet, H.C., Ramgopal, M., Rathod, A., Rausch, M., Ravishankar, J., Rhame, F.S., Richards, C.S., Richman, D.D., Rodes, B., Rodriguez, M., Rose, R.C., Rosenberg, E.S., Rosenthal, D., Ross, P.E., Rubin, D.S., Rumbaugh, E., Saenz, L., Salvaggio, M.R., Sanchez, W.C., Sanjana, V.M., Santiago, S., Schmidt, W., Schuitemaker, H., Sestak, P.M., Shalit, P., Shay, W., Shirvani, V.N., Silebi, V.I., Sizemore, J.M., Skolnik, P.R., Sokol-Anderson, M., Sosman, J.M., Stabile, P., Stapleton, J.T., Starrett, S., Stein, F., Stellbrink, H-J, Sterman, F.L., Stone, V.E., Stone, D.R., Tambussi, G., Taplitz, R.A., Tedaldi, E.M., Theisen, W., Torres, R., Tosiello, L., Tremblay, C., Tribble, M.A., Trinh, P.D., Tsao, A., Ueda, P., Vaccaro, A., Valadas, E., Vanig, T.J., Vecino, I., Vega, V.M., Veikley, W., Wade, B.H., Walworth, C., Wanidworanun, C., Ward, D.J., Warner, D.A., Weber, R.D., Webster, D., Weis, S., Wheeler, D.A., White, D.J., Wilkins, E., Winston, A., Wlodaver, C.G., van't Wout, A., Wright, D.P., Yang, O.O., Yurdin, D.L., Zabukovic, B.W., Zachary, K.C., Zeeman, B., and Zhao, M.
Abstract: Infectious and inflammatory diseases have repeatedly shown strong genetic associations within the major histocompatibility complex (MHC); however, the basis for these associations remains elusive. To define host genetic effects on the outcome of a chronic viral infection, we performed genome-wide association analysis in a multiethnic cohort of HIV-1 controllers and progressors, and we analyzed the effects of individual amino acids within the classical human leukocyte antigen (HLA) proteins. We identified >300 genome-wide significant single-nucleotide polymorphisms (SNPs) within the MHC and none elsewhere. Specific amino acids in the HLA-B peptide binding groove, as well as an independent HLA-C effect, explain the SNP associations and reconcile both protective and risk HLA alleles. These results implicate the nature of the HLA-viral peptide interaction as the major factor modulating durable control of HIV infection.
Published: 2010

21. HLA-B*13:01and the Dapsone Hypersensitivity Syndrome

Author: Zhang, F.-R., primary, Liu, H., additional, Irwanto, A., additional, Fu, X.-A., additional, Li, Y., additional, Yu, G.-Q., additional, Yu, Y.-X., additional, Chen, M.-F., additional, Low, H.-Q., additional, Li, J.-H., additional, Bao, F.-F., additional, Foo, J.-N., additional, Bei, J.-X., additional, Jia, X.-M., additional, Liu, J., additional, Liany, H., additional, Wang, N., additional, Niu, G.-Y., additional, Wang, Z.-Z., additional, Shi, B.-Q., additional, Tian, H.-Q., additional, Liu, H.-X., additional, Ma, S.-S., additional, Zhou, Y., additional, You, J.-B., additional, Yang, Q., additional, Wang, C., additional, Chu, T.-S., additional, Liu, D.-C., additional, Yu, X.-L., additional, Sun, Y.-H., additional, Ning, Y., additional, Wei, Z.-H., additional, Chen, S.-L., additional, Chen, X.-C., additional, Zhang, Z.-X., additional, Liu, Y.-X., additional, Pulit, S.L., additional, Wu, W.-B., additional, Zheng, Z.-Y., additional, Yang, R.-D., additional, Long, H., additional, Liu, Z.-S., additional, Wang, J.-Q., additional, Li, M., additional, Zhang, L.-H., additional, Wang, H., additional, Wang, L.-M., additional, Xiao, P., additional, Li, J.-L., additional, Huang, Z.-M., additional, Huang, J.-X., additional, Li, Z., additional, Xiong, L., additional, Yang, J., additional, Wang, X.-D., additional, Yu, D.-B., additional, Lu, X.-M., additional, Zhou, G.-Z., additional, Yan, L.-B., additional, Shen, J.-P., additional, Zhang, G.-C., additional, Zeng, Y.-X., additional, de Bakker, P.I.W., additional, Chen, S.-M., additional, and Liu, J.-J., additional
Published: 2013
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22. Genome-wide detection and characterization of positive selection in human populations

Author: Sabeti, P.C., Varilly, P., Fry, B., Lohmueller, J., Hostetter, E., Cotsapas, C., Xie, X., Byrne, E.H., McCarroll, S.A., Gaudet, R., Schaffner, S.F., Rotimi, C.N., Adebamowo, C.A., Ajayi, I., Aniagwu, T., Marshall, P.A., Nkwodimmah, C., Royal, C.D.M., Leppert, M.F., Dixon, M., Boudreau, A., Taillon-Miller, P., Peiffer, A., Qiu, R., Kent, A., Kato, K., Niikawa, N., Adewole, I.F., Knoppers, B.M., Foster, M.W., Clayton, E.W., Watkin, J., Xiao, M., Hardenbol, P., Muzny, D., Nazareth, L., Sodergren, E., Weinstock, G.M., Yakub, I., Birren, B.W., Wilson, R.K., Fulton, L.L., Rogers, J., Tsui, L.C., Burton, J., Leal, S.M., Carter, N.P., Clee, C.M., Griffiths, M., Jones, M.C., McLay, K., Plumb, R.W., Ross, M.T., Sims, S.K., Mak, W., Willey, D.L., Chen, Z., Pasternak, S., Han, H., Kang, L., Godbout, M., Wallenburg, J.C., L'Archevêque, P., Bellemare, G., Saeki, K., You, Q.S., Wang, H., An, D., Fu, H., Wheeler, D.A., Li, Q., Wang, Z., Wang, R., Holden, A.L., Brooks, L.D., McEwen, J.E., Tam, P.K.H., Guyer, M.S., Wang, V.O., Peterson, J.L., Shi, M., Willis, T.D., Spiegel, J., Sung, L.M., Zacharia, L.F., Collins, F.S., Kennedy, K., Nakamura, Y., Jamieson, R., Stewart, J., Yu, F., Yang, H., Zeng, C., Gao, Y., Hu, H., Hu, W., Li, C., Lin, W., Kawaguchi, T., Liu, S., Pan, H., Tang, X., Wang, J., Wang, W., Yu, J., Zhang, B., Zhang, Q., Zhao, H., Kitamoto, T., Zhou, J., Gabriel, S.B., Barry, R., Blumenstiel, B., Camargo, A., Defelice, M., Faggart, M., Goyette, M., Gupta, S., Moore, J., Morizono, T., Nguyen, H., Onofrio, R.C., Parkin, M., Roy, J., Stahl, E., Winchester, E., Ziaugra, L., Altshuler, D., Shen, Y., Yao, Z., Lander, E.S., Huang, W., Chu, X., He, Y., Jin, L., Liu, Y., Sun, W., Wang, Y., Nagashima, A., Xiong, X., Xu, L., Waye, M.M.Y., Tsui, S.K.W., Xue, H., Wong, J.T.F., Galver, L.M., Fan, J.B., Gunderson, K., Murray, S.S., Ohnishi, Y., Oliphant, A.R., Chee, M.S., Montpetit, A., Chagnon, F., Ferretti, V., Leboeuf, M., Olivier, J.F., Phillips, M.S., Roumy, S., Sallée, C., Sekine, A., Verner, A., Hudson, T.J., Kwok, P.Y., Cai, D., Koboldt, D.C., Miller, R.D., Pawlikowska, L., Tanaka, T., Tsunoda, T., Deloukas, P., Bird, C.P., Delgado, M., Dermitzakis, E.T., Gwilliam, R., Frazer, K.A., Hunt, S., Morrison, J., Powell, D., Stranger, B.E., Whittaker, P., Bentley, D.R., Daly, M.J., De Bakker, P.I.W., Barrett, J., Chretien, Y.R., Ballinger, D.G., Maller, J., McCarroll, S., Patterson, N., Pe'Er, I., Price, A., Purcell, S., Richter, D.J., Saxena, R., Sham, P.C., Stein, L.D., Cox, D.R., Krishnan, L., Smith, A.V., Tello-Ruiz, M.K., Thorisson, G.A., Chakravarti, A., Chen, P.E., Cutler, D.J., Kashuk, C.S., Lin, S., Abecasis, G.R., Hinds, D.A., Guan, W., Li, Y., Munro, H.M., Qin, Z.S., Thomas, D.J., McVean, G., Auton, A., Bottolo, L., Cardin, N., Eyheramendy, S., Stuve, L.L., Freeman, C., Marchini, J., Myers, S., Spencer, C., Stephens, M., Donnelly, P., Cardon, L.R., Clarke, G., Evans, D.M., Morris, A.P., Gibbs, R.A., Weir, B.S., Johnson, T.A., Mullikin, J.C., Sherry, S.T., Feolo, M., Skol, A., Zhang, H., Matsuda, I., Fukushima, Y., MacEr, D.R., Belmont, J.W., Suda, E., Sabeti, P.C., Varilly, P., Fry, B., Lohmueller, J., Hostetter, E., Cotsapas, C., Xie, X., Byrne, E.H., McCarroll, S.A., Gaudet, R., Schaffner, S.F., Rotimi, C.N., Adebamowo, C.A., Ajayi, I., Aniagwu, T., Marshall, P.A., Nkwodimmah, C., Royal, C.D.M., Leppert, M.F., Dixon, M., Boudreau, A., Taillon-Miller, P., Peiffer, A., Qiu, R., Kent, A., Kato, K., Niikawa, N., Adewole, I.F., Knoppers, B.M., Foster, M.W., Clayton, E.W., Watkin, J., Xiao, M., Hardenbol, P., Muzny, D., Nazareth, L., Sodergren, E., Weinstock, G.M., Yakub, I., Birren, B.W., Wilson, R.K., Fulton, L.L., Rogers, J., Tsui, L.C., Burton, J., Leal, S.M., Carter, N.P., Clee, C.M., Griffiths, M., Jones, M.C., McLay, K., Plumb, R.W., Ross, M.T., Sims, S.K., Mak, W., Willey, D.L., Chen, Z., Pasternak, S., Han, H., Kang, L., Godbout, M., Wallenburg, J.C., L'Archevêque, P., Bellemare, G., Saeki, K., You, Q.S., Wang, H., An, D., Fu, H., Wheeler, D.A., Li, Q., Wang, Z., Wang, R., Holden, A.L., Brooks, L.D., McEwen, J.E., Tam, P.K.H., Guyer, M.S., Wang, V.O., Peterson, J.L., Shi, M., Willis, T.D., Spiegel, J., Sung, L.M., Zacharia, L.F., Collins, F.S., Kennedy, K., Nakamura, Y., Jamieson, R., Stewart, J., Yu, F., Yang, H., Zeng, C., Gao, Y., Hu, H., Hu, W., Li, C., Lin, W., Kawaguchi, T., Liu, S., Pan, H., Tang, X., Wang, J., Wang, W., Yu, J., Zhang, B., Zhang, Q., Zhao, H., Kitamoto, T., Zhou, J., Gabriel, S.B., Barry, R., Blumenstiel, B., Camargo, A., Defelice, M., Faggart, M., Goyette, M., Gupta, S., Moore, J., Morizono, T., Nguyen, H., Onofrio, R.C., Parkin, M., Roy, J., Stahl, E., Winchester, E., Ziaugra, L., Altshuler, D., Shen, Y., Yao, Z., Lander, E.S., Huang, W., Chu, X., He, Y., Jin, L., Liu, Y., Sun, W., Wang, Y., Nagashima, A., Xiong, X., Xu, L., Waye, M.M.Y., Tsui, S.K.W., Xue, H., Wong, J.T.F., Galver, L.M., Fan, J.B., Gunderson, K., Murray, S.S., Ohnishi, Y., Oliphant, A.R., Chee, M.S., Montpetit, A., Chagnon, F., Ferretti, V., Leboeuf, M., Olivier, J.F., Phillips, M.S., Roumy, S., Sallée, C., Sekine, A., Verner, A., Hudson, T.J., Kwok, P.Y., Cai, D., Koboldt, D.C., Miller, R.D., Pawlikowska, L., Tanaka, T., Tsunoda, T., Deloukas, P., Bird, C.P., Delgado, M., Dermitzakis, E.T., Gwilliam, R., Frazer, K.A., Hunt, S., Morrison, J., Powell, D., Stranger, B.E., Whittaker, P., Bentley, D.R., Daly, M.J., De Bakker, P.I.W., Barrett, J., Chretien, Y.R., Ballinger, D.G., Maller, J., McCarroll, S., Patterson, N., Pe'Er, I., Price, A., Purcell, S., Richter, D.J., Saxena, R., Sham, P.C., Stein, L.D., Cox, D.R., Krishnan, L., Smith, A.V., Tello-Ruiz, M.K., Thorisson, G.A., Chakravarti, A., Chen, P.E., Cutler, D.J., Kashuk, C.S., Lin, S., Abecasis, G.R., Hinds, D.A., Guan, W., Li, Y., Munro, H.M., Qin, Z.S., Thomas, D.J., McVean, G., Auton, A., Bottolo, L., Cardin, N., Eyheramendy, S., Stuve, L.L., Freeman, C., Marchini, J., Myers, S., Spencer, C., Stephens, M., Donnelly, P., Cardon, L.R., Clarke, G., Evans, D.M., Morris, A.P., Gibbs, R.A., Weir, B.S., Johnson, T.A., Mullikin, J.C., Sherry, S.T., Feolo, M., Skol, A., Zhang, H., Matsuda, I., Fukushima, Y., MacEr, D.R., Belmont, J.W., and Suda, E.
Abstract: With the advent of dense maps of human genetic variation, it is now possible to detect positive natural selection across the human genome. Here we report an analysis of over 3 million polymorphisms from the International HapMap Project Phase 2 (HapMap2). We used 'long-range haplotype' methods, which were developed to identify alleles segregating in a population that have undergone recent selection, and we also developed new methods that are based on cross-population comparisons to discover alleles that have swept to near-fixation within a population. The analysis reveals more than 300 strong candidate regions. Focusing on the strongest 22 regions, we develop a heuristic for scrutinizing these regions to identify candidate targets of selection. In a complementary analysis, we identify 26 non-synonymous, coding, single nucleotide polymorphisms showing regional evidence of positive selection. Examination of these candidates highlights three cases in which two genes in a common biological process have apparently undergone positive selection in the same population:LARGE and DMD, both related to infection by the Lassa virus, in West Africa;SLC24A5 and SLC45A2, both involved in skin pigmentation, in Europe; and EDAR and EDA2R, both involved in development of hair follicles, in Asia. ©2007 Nature Publishing Group.
Published: 2007

23. How to kickstart a national biobanking infrastructure – experiences and prospects of BBMRI-NL

Author: Brandsma, M., primary, Baas, F., additional, De Bakker, P.I.W., additional, Beem, E.P., additional, Boomsma, D.I., additional, Bovenberg, J., additional, Bueno-de-Mesquita, B., additional, Van Duijn, C., additional, Kiemeney, L.A., additional, Klungel, O., additional, De Leeuw, P.W., additional, Van Leeuwen, F.E., additional, Ridder-Numan, J., additional, Stolk, R.P., additional, Slagboom, P.E., additional, Swertz, M., additional, Wijmenga, C., additional, and Van Ommen, G.J.B., additional
Published: 2012
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24. Sequence-structure homology recognition by iterative alignment refinement and comparative modeling.

Author: Williams, M.G., Shirai, H., Shi, J., Nagendra, H.G., Mueller, J., Mizuguchi, K., Miguel, R.N., S.C. Lovell, Innis, C.A., Deane, C.M., Chen, L., Campillo, N., Burke, D.F., Blundell, T.L., and de Bakker, P.I.W.
Published: 2001
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25. Defining the role of common variation in the genomic and biological architecture of adult human height

Author: Wood, Ar, Esko, T, Yang, J, Vedantam, S, Pers, Th, Gustafsson, S, Chu, Ay, Estrada, K, Luan, J, Kutalik, Z, Amin, N, Buchkovich, Ml, Croteau Chonka DC, Day, Fr, Duan, Y, Fall, T, Fehrmann, R, Ferreira, T, Jackson, Au, Karjalainen, J, Lo, Ks, Locke, Ae, Mägi, R, Mihailov, E, Porcu, E, Randall, Jc, Scherag, A, Vinkhuyzen, Aa, Westra, Hj, Winkler, Tw, Workalemahu, T, Zhao, Jh, Absher, D, Albrecht, E, Anderson, D, Baron, J, Beekman, M, Demirkan, A, Ehret, Gb, Feenstra, B, Feitosa, Mf, Fischer, K, Fraser, Rm, Goel, A, Gong, J, Justice, Ae, Kanoni, S, Kleber, Me, Kristiansson, K, Lim, U, Lotay, V, Lui, Jc, Mangino, M, Mateo Leach, I, Medina Gomez, C, Nalls, Ma, Nyholt, Dr, Palmer, Cd, Pasko, D, Pechlivanis, S, Prokopenko, I, Ried, Js, Ripke, S, Shungin, D, Stancáková, A, Strawbridge, Rj, Sung, Yj, Tanaka, T, Teumer, A, Trompet, S, van der Laan SW, van Setten, J, Van Vliet Ostaptchouk JV, Wang, Z, Yengo, L, Zhang, W, Afzal, U, Arnlöv, J, Arscott, Gm, Bandinelli, S, Barrett, A, Bellis, C, Bennett, Aj, Berne, C, Blüher, M, Bolton, Jl, Böttcher, Y, Boyd, Ha, Bruinenberg, M, Buckley, Bm, Buyske, S, Caspersen, Ih, Chines, Ps, Clarke, R, Claudi Boehm, S, Cooper, M, Daw, Ew, De Jong PA, Deelen, J, Delgado, G, Denny, Jc, Dhonukshe Rutten, R, Dimitriou, M, Doney, As, Dörr, M, Eklund, N, Eury, E, Folkersen, L, Garcia, Me, Geller, F, Giedraitis, V, Go, As, Grallert, H, Grammer, Tb, Gräßler, J, Grönberg, H, de Groot LC, Groves, Cj, Haessler, J, Hall, P, Haller, T, Hallmans, G, Hannemann, A, Hartman, Ca, Hassinen, M, Hayward, C, Heard Costa NL, Helmer, Q, Hemani, G, Henders, Ak, Hillege, Hl, Hlatky, Ma, Hoffmann, W, Hoffmann, P, Holmen, O, Houwing Duistermaat JJ, Illig, T, Isaacs, A, James, Al, Jeff, J, Johansen, B, Johansson, Å, Jolley, J, Juliusdottir, T, Junttila, J, Kho, An, Kinnunen, L, Klopp, N, Kocher, T, Kratzer, W, Lichtner, P, Lind, L, Lindström, J, Lobbens, S, Lorentzon, M, Lu, Y, Lyssenko, V, Magnusson, Pk, Mahajan, A, Maillard, M, Mcardle, Wl, Mckenzie, Ca, Mclachlan, S, Mclaren, Pj, Menni, C, Merger, S, Milani, L, Moayyeri, A, Monda, Kl, Morken, Ma, Müller, G, Müller Nurasyid, M, Musk, Aw, Narisu, N, Nauck, M, Nolte, Im, Nöthen, Mm, Oozageer, L, Pilz, S, Rayner, Nw, Renstrom, F, Robertson, Nr, Rose, Lm, Roussel, R, Sanna, S, Scharnagl, H, Scholtens, S, Schumacher, Fr, Schunkert, H, Scott, Ra, Sehmi, J, Seufferlein, T, Shi, J, Silventoinen, K, Smit, Jh, Smith, Av, Smolonska, J, Stanton, Av, Stirrups, K, Stott, Dj, Stringham, Hm, Sundström, J, Swertz, Ma, Syvänen, Ac, Tayo, Bo, Thorleifsson, G, Tyrer, Jp, van Dijk, S, van Schoor NM, van der Velde, N, van Heemst, D, van Oort FV, Vermeulen, Sh, Verweij, N, Vonk, Jm, Waite, Ll, Waldenberger, M, Wennauer, R, Wilkens, Lr, Willenborg, C, Wilsgaard, T, Wojczynski, Mk, Wong, A, Wright, Af, Zhang, Q, Arveiler, D, Bakker, Sj, Beilby, J, Bergman, Rn, Bergmann, S, Biffar, R, Blangero, J, Boomsma, Di, Bornstein, Sr, Bovet, P, Brambilla, P, Brown, Mj, Campbell, H, Caulfield, Mj, Chakravarti, A, Collins, R, Collins, Fs, Crawford, Dc, Cupples, La, Danesh, J, de Faire, U, den Ruijter HM, Erbel, R, Erdmann, J, Eriksson, Jg, Farrall, M, Ferrannini, Eleuterio, Ferrières, J, Ford, I, Forouhi, Ng, Forrester, T, Gansevoort, Rt, Gejman, Pv, Gieger, C, Golay, A, Gottesman, O, Gudnason, V, Gyllensten, U, Haas, Dw, Hall, As, Harris, Tb, Hattersley, At, Heath, Ac, Hengstenberg, C, Hicks, Aa, Hindorff, La, Hingorani, Ad, Hofman, A, Hovingh, Gk, Humphries, Se, Hunt, Sc, Hypponen, E, Jacobs, Kb, Jarvelin, Mr, Jousilahti, P, Jula, Am, Kaprio, J, Kastelein, Jj, Kayser, M, Kee, F, Keinanen Kiukaanniemi SM, Kiemeney, La, Kooner, Js, Kooperberg, C, Koskinen, S, Kovacs, P, Kraja, At, Kumari, M, Kuusisto, J, Lakka, Ta, Langenberg, C, Le Marchand, L, Lehtimäki, T, Lupoli, S, Madden, Pa, Männistö, S, Manunta, P, Marette, A, Matise, Tc, Mcknight, B, Meitinger, T, Moll, Fl, Montgomery, Gw, Morris, Ad, Morris, Ap, Murray, Jc, Nelis, M, Ohlsson, C, Oldehinkel, Aj, Ong, Kk, Ouwehand, Wh, Pasterkamp, G, Peters, A, Pramstaller, Pp, Price, Jf, Qi, L, Raitakari, Ot, Rankinen, T, Rao, Dc, Rice, Tk, Ritchie, M, Rudan, I, Salomaa, V, Samani, Nj, Saramies, J, Sarzynski, Ma, Schwarz, Pe, Sebert, S, Sever, P, Shuldiner, Ar, Sinisalo, J, Steinthorsdottir, V, Stolk, Rp, Tardif, Jc, Tönjes, A, Tremblay, A, Tremoli, E, Virtamo, J, Vohl, Mc, Electronic Medical Records, Genomics, Consortium, Migen, Consortium, Pagege, Consortium, LifeLines Cohort Study, Amouyel, P, Asselbergs, Fw, Assimes, Tl, Bochud, M, Boehm, Bo, Boerwinkle, E, Bottinger, Ep, Bouchard, C, Cauchi, S, Chambers, Jc, Chanock, Sj, Cooper, Rs, de Bakker PI, Dedoussis, G, Ferrucci, L, Franks, Pw, Froguel, P, Groop, Lc, Haiman, Ca, Hamsten, A, Hayes, Mg, Hui, J, Hunter, Dj, Hveem, K, Jukema, Jw, Kaplan, Rc, Kivimaki, M, Kuh, D, Laakso, M, Liu, Y, Martin, Ng, März, W, Melbye, M, Moebus, S, Munroe, Pb, Njølstad, I, Oostra, Ba, Palmer, Cn, Pedersen, Nl, Perola, M, Pérusse, L, Peters, U, Powell, Je, Power, C, Quertermous, T, Rauramaa, R, Reinmaa, E, 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Medina-Gomez C., Nalls M.A., Nyholt D.R., Palmer C.D., Pasko D., Pechlivanis S., Prokopenko I., Ried J.S., Ripke S., Shungin D., Stancakova A., Strawbridge R.J., Sung Y.J., Tanaka T., Teumer A., Trompet S., Van Der Laan S.W., Van Setten J., Van Vliet-Ostaptchouk J.V., Wang Z., Yengo L., Zhang W., Afzal U., Arnlov J., Arscott G.M., Bandinelli S., Barrett A., Bellis C., Bennett A.J., Berne C., Bluher M., Bolton J.L., Bottcher Y., Boyd H.A., Bruinenberg M., Buckley B.M., Buyske S., Caspersen I.H., Chines P.S., Clarke R., Claudi-Boehm S., Cooper M., Daw E.W., De Jong P.A., Deelen J., Delgado G., Denny J.C., Dhonukshe-Rutten R., Dimitriou M., Doney A.S.F., Dorr M., Eklund N., Eury E., Folkersen L., Garcia M.E., Geller F., Giedraitis V., Go A.S., Grallert H., Grammer T.B., Grassler J., Gronberg H., De Groot L.C.P.G.M., Groves C.J., Haessler J., Hall P., Haller T., Hallmans G., Hannemann A., Hartman C.A., Hassinen M., Hayward C., Heard-Costa N.L., Helmer Q., Hemani G., Henders A.K., Hillege H.L., Hlatky M.A., Hoffmann W., Hoffmann P., Holmen O., Houwing-Duistermaat J.J., Illig T., Isaacs A., James A.L., Jeff J., Johansen B., Johansson A., Jolley J., Juliusdottir T., Junttila J., Kho A.N., Kinnunen L., Klopp N., Kocher T., Kratzer W., Lichtner P., Lind L., Lindstrom J., Lobbens S., Lorentzon M., Lu Y., Lyssenko V., Magnusson P.K.E., Mahajan A., Maillard M., McArdle W.L., McKenzie C.A., McLachlan S., McLaren P.J., Menni C., Merger S., Milani L., Moayyeri A., Monda K.L., Morken M.A., Muller G., Muller-Nurasyid M., Musk A.W., Narisu N., Nauck M., Nolte I.M., Nothen M.M., Oozageer L., Pilz S., Rayner N.W., Renstrom F., Robertson N.R., Rose L.M., Roussel R., Sanna S., Scharnagl H., Scholtens S., Schumacher F.R., Schunkert H., Scott R.A., Sehmi J., Seufferlein T., Shi J., Silventoinen K., Smit J.H., Smith A.V., Smolonska J., Stanton A.V., Stirrups K., Stott D.J., Stringham H.M., Sundstrom J., Swertz M.A., Syvanen A.-C., Tayo B.O., Thorleifsson G., Tyrer J.P., Van Dijk S., Van Schoor N.M., Van Der Velde N., Van Heemst D., Van Oort F.V.A., Vermeulen S.H., Verweij N., Vonk J.M., Waite L.L., Waldenberger M., Wennauer R., Wilkens L.R., Willenborg C., Wilsgaard T., Wojczynski M.K., Wong A., Wright A.F., Zhang Q., Arveiler D., Bakker S.J.L., Beilby J., Bergman R.N., Bergmann S., Biffar R., Blangero J., Boomsma D.I., Bornstein S.R., Bovet P., Brambilla P., Brown M.J., Campbell H., Caulfield M.J., Chakravarti A., Collins R., Collins F.S., Crawford D.C., Cupples L.A., Danesh J., De Faire U., Den Ruijter H.M., Erbel R., Erdmann J., Eriksson J.G., Farrall M., Ferrannini E., Ferrieres J., Ford I., Forouhi N.G., Forrester T., Gansevoort R.T., Gejman P.V., Gieger C., Golay A., Gottesman O., Gudnason V., Gyllensten U., Haas D.W., Hall A.S., Harris T.B., Hattersley A.T., Heath A.C., Hengstenberg C., Hicks A.A., Hindorff L.A., Hingorani A.D., Hofman A., Hovingh G.K., Humphries S.E., Hunt S.C., Hypponen E., Jacobs K.B., Jarvelin M.-R., Jousilahti P., Jula A.M., Kaprio J., Kastelein J.J.P., Kayser M., Kee F., Keinanen-Kiukaanniemi S.M., Kiemeney L.A., Kooner J.S., Kooperberg C., Koskinen S., Kovacs P., Kraja A.T., Kumari M., Kuusisto J., Lakka T.A., Langenberg C., Le Marchand L., Lehtimaki T., Lupoli S., Madden P.A.F., Mannisto S., Manunta P., Marette A., Matise T.C., McKnight B., Meitinger T., Moll F.L., Montgomery G.W., Morris A.D., Morris A.P., Murray J.C., Nelis M., Ohlsson C., Oldehinkel A.J., Ong K.K., Ouwehand W.H., Pasterkamp G., Peters A., Pramstaller P.P., Price J.F., Qi L., Raitakari O.T., Rankinen T., Rao D.C., Rice T.K., Ritchie M., Rudan I., Salomaa V., Samani N.J., Saramies J., Sarzynski M.A., Schwarz P.E.H., Sebert S., Sever P., Shuldiner A.R., Sinisalo J., Steinthorsdottir V., Stolk R.P., Tardif J.-C., Tonjes A., Tremblay A., Tremoli E., Virtamo J., Vohl M.-C., Amouyel P., Asselbergs F.W., Assimes T.L., Bochud M., Boehm B.O., Boerwinkle E., Bottinger E.P., Bouchard C., Cauchi S., Chambers J.C., Chanock S.J., Cooper R.S., De Bakker P.I.W., Dedoussis G., Ferrucci L., Franks P.W., Froguel P., Groop L.C., Haiman C.A., Hamsten A., Hayes M.G., Hui J., Hunter D.J., Hveem K., Jukema J.W., Kaplan R.C., Kivimaki M., Kuh D., Laakso M., Liu Y., Martin N.G., Marz W., Melbye M., Moebus S., Munroe P.B., Njolstad I., Oostra B.A., Palmer C.N.A., Pedersen N.L., Perola M., Perusse L., Peters U., Powell J.E., Power C., Quertermous T., Rauramaa R., Reinmaa E., Ridker P.M., Rivadeneira F., Rotter J.I., Saaristo T.E., Saleheen D., Schlessinger D., Slagboom P.E., Snieder H., Spector T.D., Strauch K., Stumvoll M., Tuomilehto J., Uusitupa M., Van Der Harst P., Volzke H., Walker M., Wareham N.J., Watkins H., Wichmann H.-E., Wilson J.F., Zanen P., Deloukas P., Heid I.M., Lindgren C.M., Mohlke K.L., Speliotes E.K., Thorsteinsdottir U., Barroso I., Fox C.S., North K.E., Strachan D.P., Beckmann J.S., Berndt S.I., Boehnke M., Borecki I.B., McCarthy M.I., Metspalu A., Stefansson K., Uitterlinden A.G., Van Duijn C.M., Franke L., Willer C.J., Price A.L., Lettre G., Loos R.J.F., Weedon M.N., Ingelsson E., O'Connell J.R., Abecasis G.R., Chasman D.I., Goddard M.E., Visscher P.M., Hirschhorn J.N., and Frayling T.M.
Subjects: Netherlands Twin Register (NTR), BIO/12 - BIOCHIMICA CLINICA E BIOLOGIA MOLECOLARE CLINICA, Electronic Medical Records and Genomics (eMEMERGEGE) Consortium, Medizin, Genome-wide association study, Adult, Analysis of Variance, Body Height/genetics, European Continental Ancestry Group/genetics, Genetic Variation/genetics, Genetics, Population, Genome-Wide Association Study/methods, Humans, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide/genetics, heritability, 0302 clinical medicine, Genome-wide, SNPS, snps, Genetics & Heredity, ddc:616, Genetics, Medical And Health Sciences, 0303 health sciences, education.field_of_study, variants, GENETIC-VARIATION, Biological Sciences, Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], body height, genetic-variation, Life Sciences & Biomedicine, Single Nucleotide/genetics, Human, European Continental Ancestry Group, Population, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Article, White People, NO, complex traits, 03 medical and health sciences, Genetic variation, heritability, adult, height, Polymorphism, Human height, PAGEGE Consortium, education, Gene, VLAG, 030304 developmental biology, Global Nutrition, Wereldvoeding, genome-wide association study, Science & Technology, Whites, Oligonucleotide Array Sequence Analysi, MUTATIONS, COMPLEX TRAITS, ta1184, Klinisk medicin, population genetics, Genetic Variation, Heritability, ta3121, mutations, Genetic architecture, Body Height, genetic variation, MIGen Consortium, Inflammatory diseases Radboud Institute for Health Sciences [Radboudumc 5], Clinical Medicine, 030217 neurology & neurosurgery, height, LifeLines Cohort Study, Developmental Biology, Genome-Wide Association Study
Abstract: Item does not contain fulltext Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated approximately 2,000, approximately 3,700 and approximately 9,500 SNPs explained approximately 21%, approximately 24% and approximately 29% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.
Published: 2014
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26. Genome-wide association study identifies five susceptibility loci for follicular lymphoma outside the HLA region

Author: Joseph Vijai, W. Ryan Diver, Degui Zhi, Brenda M. Birmann, Henrik Hjalgrim, Bruce K. Armstrong, Gianluca Severi, Pierluigi Cocco, Joseph F. Fraumeni, Xifeng Wu, Graham G. Giles, Eleanor Kane, Herve Ghesquieres, Eve Roman, Edward Giovannucci, Mads Melbye, Rudolph Kaaks, Lindsay M. Morton, Nicholas K. Akers, Elizabeth A. Holly, Liming Liang, Patrizio Mazza, Kari E. North, John J. Spinelli, Carrie A. Thompson, Bodil Ohlsson, Yuanqing Ye, Anneclaire J. De Roos, Stephen J. Chanock, Theodore R. Holford, Paul Brennan, Jianjun Liu, Roel Vermeulen, Thomas E. Witzig, Angela Brooks-Wilson, Mark P. Purdue, Ahmet Dogan, Gilles Salles, Kenneth Offit, Lucia Conde, Laurie Burdett, George J. Weiner, Anne Kricker, James McKay, Peter Kraft, Sonja I. Berndt, Attilio Gabbas, Rebecca Montalvan, Rebecca D. Jackson, Baoshan Ma, Zhaoming Wang, Patricia Hartge, Danylo J. Villano, Marc Maynadie, Mortimer J. Lacher, Lauren R. Teras, Susan L. Slager, Lenka Foretova, Rachel S. Kelly, Martha S. Linet, Brian K. Link, Jarmo Virtamo, Charles C. Chung, Anne Zeleniuch-Jacquotte, Martyn T. Smith, Tracy Lightfoot, Jacques Riby, Paolo Boffetta, Meredith Yeager, Brian C.-H. Chiu, Grzegorz S. Nowakowski, Yolanda Benavente, Bengt Glimelius, Mark Liebow, Saioa Chamosa, Charles E. Lawrence, Karin E. Smedby, Nikolaus Becker, Thomas M. Habermann, Jacqueline Clavel, Qing Lan, Alexandra Nieters, Maryjean Schenk, Sophia S. Wang, Demetrius Albanes, Lesley F. Tinker, Alex Smith, Anthony Staines, Amy Hutchinson, Wendy Cozen, Hans-Olov Adami, Anne J. Novak, Christine F. Skibola, Ann Maria, Elisabete Weiderpass, Kimberly A. Bertrand, James R. Cerhan, Maria Grazia Ennas, Claire M. Vajdic, Jinyan Huang, Paul I.W. de Bakker, Paige M. Bracci, Tongzhang Zheng, Ruth C. Travis, Paolo Vineis, Jia Nee Foo, Jennifer Turner, Alain Monnereau, Silvia de Sanjosé, Nathaniel Rothman, Yawei Zhang, Jian Gu, Skibola, C.F., Berndt, S.I., Vijai, J., Conde, L., Wang, Z., Yeager, M., De Bakker, P.I.W., Birmann, B.M., Vajdic, C.M., Foo, J.-N., Bracci, P.M., Vermeulen, R.C.H., Slager, S.L., De Sanjose, S., Wang, S.S., Linet, M.S., Salles, G., Lan, Q., Severi, G., Hjalgrim, H., Lightfoot, T., Melbye, M., Gu, J., Ghesquières, H., Link, B.K., Morton, L.M., Holly, E.A., Smith, A., Tinker, L.F., Teras, L.R., Kricker, A., Becker, N., Purdue, M.P., Spinelli, J.J., Zhang, Y., Giles, G.G., Vineis, P., Monnereau, A., Bertrand, K.A., Albanes, D., Zeleniuch-Jacquotte, A., Gabbas, A., Chung, C.C., Burdett, L., Hutchinson, A., Lawrence, C., Montalvan, R., Liang, L., Huang, J., Ma, B., Liu, J., Adami, H.-O., Glimelius, B., Ye, Y., Nowakowski, G.S., Dogan, A., Thompson, C.A., Habermann, T.M., Novak, A.J., Liebow, M., Witzig, T.E., Weiner, G.J., Schenk, M., Hartge, P., De Roos, A.J., Cozen, W., Zhi, D., Akers, N.K., Riby, J., Smith, M.T., Lacher, M., Villano, D.J., Maria, A., Roman, E., Kane, E., Jackson, R.D., North, K.E., Diver, W.R., Turner, J., Armstrong, B.K., Benavente, Y., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Staines, A., McKay, J., Brooks-Wilson, A.R., Zheng, T., Holford, T.R., Chamosa, S., Kaaks, R., Kelly, R.S., Ohlsson, B., Travis, R.C., Weiderpass, E., Clavel, J., Giovannucci, E., Kraft, P., Virtamo, J., Mazza, P., Cocco, P., Ennas, M.G., Chiu, B.C.H., Fraumeni, J.F., Jr., Nieters, A., Offit, K., Wu, X., Cerhan, J.R., Smedby, K.E., Chanock, S.J., and Rothman, N.
Subjects: EXPRESSION, Follicular lymphoma, Single-nucleotide polymorphism, Genome-wide association study, Human leukocyte antigen, Biology, VARIANTS, Polymorphism, Single Nucleotide, follicular lymphoma, HLA Antigens, Polymorphism (computer science), Report, CLASS-I, RESOURCE, Biomarkers, Tumor, Genetics, medicine, Chromosomes, Human, Humans, TOOL, Genetic Predisposition to Disease, Genetics(clinical), PEPTIDE, Allele, Lymphoma, Follicular, Alleles, Genetics (clinical), Genetic association, SNPS, RISK, Genome-wide association, Haplotype, medicine.disease, HLA, Haplotypes, Case-Control Studies, UNIVERSITY, SET, Genome-Wide Association Study
Abstract: Genome-wide association studies (GWASs) of follicular lymphoma (FL) have previously identified human leukocyte antigen (HLA) gene variants. To identify additional FL susceptibility loci, we conducted a large-scale two-stage GWAS in 4,523 case subjects and 13,344 control subjects of European ancestry. Five non-HLA loci were associated with FL risk: 11q23.3 (rs4938573, p = 5.79 × 10 -20) near CXCR5; 11q24.3 (rs4937362, p = 6.76 × 10 -11) near ETS1; 3q28 (rs6444305, p = 1.10 × 10 -10) in LPP; 18q21.33 (rs17749561, p = 8.28 × 10 -10) near BCL2; and 8q24.21 (rs13254990, p = 1.06 × 10 -8) near PVT1. In an analysis of the HLA region, we identified four linked HLA-DRß1 multiallelic amino acids at positions 11, 13, 28, and 30 that were associated with FL risk (pomnibus = 4.20 × 10 -67 to 2.67 × 10 -70). Additional independent signals included rs17203612 in HLA class II (odds ratio [ORper-allele] = 1.44; p = 4.59 × 10 -16) and rs3130437 in HLA class I (ORper-allele = 1.23; p = 8.23 × 10 -9). Our findings further expand the number of loci associated with FL and provide evidence that multiple common variants outside the HLA region make a significant contribution to FL risk. © 2014 by The American Society of Human Genetics. All rights reserved.
Published: 2016

27. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes

Author: Henrik Hjalgrim, Joseph Vijai, Bengt Glimelius, Kimberly A. Bertrand, Immaculata De Vivo, Eve Roman, Martha Glenn, Nathaniel Rothman, Yolanda Benavente, Zhaoming Wang, Ju-Hyun Park, Anneclaire J. De Roos, John J. Spinelli, Demetrius Albanes, Paul Brennan, Emanuele Angelucci, Mariagrazia Zucca, Qing Lan, Kari E. North, Paige M. Bracci, Mark P. Purdue, Marco Rais, Melissa C. Southey, Alain Monnereau, Ahmet Dogan, Graham G. Giles, Robert J. Klein, Peter Kraft, Lesley F. Tinker, Laurie Burdett, Lucia Conde, Carrie A. Thompson, James McKay, Martyn T. Smith, Göran Roos, Yan W. Asmann, Dennis D. Weisenburger, Elizabeth A. Holly, Thomas E. Witzig, Liming Liang, Paul I.W. de Bakker, Alex Smith, Jarmo Virtamo, Charles E. Lawrence, Patricia Hartge, Karen Curtin, Anthony Staines, Nikolaus Becker, Nicola J. Camp, Charles C. Chung, Degui Zhi, Brenda M. Birmann, W. Ryan Diver, Roel Vermeulen, Sonja I. Berndt, Tongzhang Zheng, Silvia de Sanjosé, Eleanor Kane, James R. Cerhan, Christopher R. Flowers, Joseph F. Fraumeni, Stephen J. Chanock, Stephen M. Ansell, Angela Brooks-Wilson, Kenneth Offit, Jinyan Huang, Mads Melbye, Edward Giovannucci, Baoshan Ma, Tracy Lightfoot, Brian K. Link, Richard K. Severson, Theodore R. Holford, Yawei Zhang, Anne Tjønneland, Meredith Yeager, Wendy Cozen, Anne J. Novak, Lauren R. Teras, Claire M. Vajdic, Lisa A. Cannon-Albright, Lenka Foretova, Christine F. Skibola, Sophia S. Wang, Hans-Olov Adami, Andrew D. Zelenetz, Jenny Turner, Paolo Vineis, Corinne Haioun, Hervé Tilly, Anne Zeleniuch-Jacquotte, Thomas M. Habermann, Paolo Boffetta, Jacqueline Clavel, Herve Ghesquieres, Stephanie J. Weinstein, Lindsay M. Morton, Susan L. Slager, Simon Crouch, Gilles Salles, Rachel S. Kelly, Karin E. Smedby, Amy Hutchinson, David G. Cox, Elio Riboli, Jacques Riby, Rebecca D. Jackson, Mark Liebow, Thierry Jo Molina, Danylo J. Villano, Marc Maynadie, Yuanqing Ye, Heiner Boeing, Jian Gu, Brian C.-H. Chiu, Simonetta Di Lollo, Mitchell J. Machiela, Alexandra Nieters, Xifeng Wu, Rudolph Kaaks, Machiela, M.J., Lan, Q., Slager, S.L., Vermeulen, R.C.H., Teras, L.R., Camp, N.J., Cerhan, J.R., Spinelli, J.J., Wang, S.S., Nieters, A., Vijai, J., Yeager, M., Wang, Z., Ghesquières, H., McKay, J., Conde, L., de Bakker, P.I.W., Cox, D.G., Burdett, L., Monnereau, A., Flowers, C.R., De Roos, A.J., Brooks-Wilson, A.R., Giles, G.G., Melbye, M., Gu, J., Jackson, R.D., Kane, E., Purdue, M.P., Vajdic, C.M., Albanes, D., Kelly, R.S., Zucca, M., Bertrand, K.A., Zeleniuch-Jacquotte, A., Lawrence, C., Hutchinson, A., Zhi, D., Habermann, T.M., Link, B.K., Novak, A.J., Dogan, A., Asmann, Y.W., Liebow, M., Thompson, C.A., Ansell, S.M., Witzig, T.E., Tilly, H., Haioun, C., Molina, T.J., Hjalgrim, H., Glimelius, B., Adami, H.-O., Roos, G., Bracci, P.M., Riby, J., Smith, M.T., Holly, E.A., Cozen, W., Hartge, P., Morton, L.M., Severson, R.K., Tinker, L.F., North, K.E., Becker, N., Benavente, Y., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Staines, A., Lightfoot, T., Crouch, S., Smith, A., Roman, E., Ryan Diver, W., Offit, K., Zelenetz, A., Klein, R.J., Villano, D.J., Zheng, T., Zhang, Y., Holford, T.R., Turner, J., Southey, M.C., Clavel, J., Virtamo, J., Weinstein, S., Riboli, E., Vineis, P., Kaaks, R., Boeing, H., Tjønneland, A., Angelucci, E., Di Lollo, S., Rais, M., De Vivo, I., Giovannucci, E., Kraft, P., Huang, J., Ma, B., Ye, Y., Chiu, B.C.H., Liang, L., Park, J.-H., Chung, C.C., Weisenburger, D.D., Fraumeni, J.F., Jr and Salles, G., Glenn, M., Cannon-Albright, L., Curtin, K., Wu, X., Smedby, K.E., de Sanjose, S., Skibola, C.F., Berndt, S.I., Birmann, B.M., Chanock, S.J., Rothman, N., LS IRAS EEPI GRA (Gezh.risico-analyse), Sub Atmospheric physics and chemistry, dIRAS RA-I&I RA, dIRAS RA-2, Service d’Hématologie [Centre Hospitalier Lyon Sud - HCL], Centre Hospitalier Lyon Sud [CHU - HCL] ( CHLS ), Hospices Civils de Lyon ( HCL ) -Hospices Civils de Lyon ( HCL ), Centre de Recherche en Cancérologie de Lyon ( CRCL ), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Cancer environnement ( EPICENE ), Bordeaux population health ( BPH ), Université de Bordeaux ( UB ) -Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Université de Bordeaux ( UB ) -Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Registre des hémopathies malignes de la Gironde, Institut Bergonié - CRLCC Bordeaux, Department of Agronomy, University of Wisconsin-Madison [Madison], Service hématologie Poitiers, CHU, Service d'hématologie clinique, Assistance publique - Hôpitaux de Paris (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Université Paris Descartes - Paris 5 ( UPD5 ), Oslo and Akershus University College ( OAUC ), Laboratoire de mécanique Biomécanique Polymère Structures ( LaBPS ), Université de Lorraine ( UL ), The Tisch Cancer Institute, Mount Sinai School of Medicine, International Agency for Cancer Research ( IACR ), International Agency for Cancer Research, Registre des hémopathies malignes de Côte d'Or, Centre d'épidémiologie des populations ( CEP ), Université de Bourgogne ( UB ) -Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc ( CRLCC - CGFL ), University of Chicago Medicine, Institut National de la Santé et de la Recherche Médicale ( INSERM ), French National Registry of Childhood Hematological malignancies (NRCH), NRCH, Division of Epidemiology, Public Health and Primary Care, Imperial College London, Unit of Cancer Epidemiology, AOU S. Giovanni Battista, CPO Piemonte, CeRMS, University of Torino, Department of Epidemiology and Public Health, Department Cancer Epidemiology, German Cancer Research Center, Institute of Human Nutrition Potsdam-Rehbruecke, Diet, Cancer and Health, Danish Cancer Society, Justus Liebig University Giessen, Sino French Research Center for Biomedical Imaging ( HIT-INSA ), Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Harbin Institute of Technology ( HIT ), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé ( CREATIS ), Hospices Civils de Lyon ( HCL ) -Université Jean Monnet [Saint-Étienne] ( UJM ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon ( INSA Lyon ), Université de Lyon-Institut National des Sciences Appliquées ( INSA ) -Institut National des Sciences Appliquées ( INSA ), Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Chinese Academy of Sciences [Beijing] ( CAS ), Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Centre de Recherche en Cancérologie de Lyon (UNICANCER/CRCL), Centre Léon Bérard [Lyon]-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Cancer environnement (EPICENE ), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Bergonié [Bordeaux], UNICANCER-UNICANCER, University of Wisconsin-Madison, Centre hospitalier universitaire de Poitiers (CHU Poitiers), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Université Paris Descartes - Paris 5 (UPD5), Akershus University College, Laboratoire de mécanique Biomécanique Polymère Structures (LaBPS), Université de Lorraine (UL), Icahn School of Medicine at Mount Sinai [New York] (MSSM), International Agency for Cancer Research (IACR), Centre d'épidémiologie des populations (CEP), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer Georges-François Leclerc [Dijon] (UNICANCER/CRLCC-CGFL), Institut National de la Santé et de la Recherche Médicale (INSERM), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke (DifE), Leibniz Association, Justus-Liebig-Universität Gießen (JLU), Sino French Research Center for Biomedical Imaging (HIT-INSA), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Harbin Institute of Technology (HIT), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Chinese Academy of Sciences [Beijing] (CAS), Université de Lyon-Université de Lyon-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Torino = University of Turin (UNITO), Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Harbin Institute of Technology (HIT), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Cancérologie de Lyon (CRCL), Université de Lyon-Université de Lyon-Centre Léon Bérard [Lyon]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Oslo and Akershus University College (OAUC), Université de Bourgogne (UB)-Centre Régional de Lutte contre le cancer - Centre Georges-François Leclerc (CRLCC - CGFL), and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL)
Subjects: 0301 basic medicine, Serum, Male, Lymphoma, analysis, Chronic lymphocytic leukemia, Follicular lymphoma, Global Health, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, immunology, surgery, 0302 clinical medicine, Endocrinology, immune system diseases, single nucleotide polymorphism, Germany, hemic and lymphatic diseases, London, 80 and over, Odds Ratio, genetics, Prospective Studies, B-cell lymphoma, Association Studies Article, Genetics (clinical), Aged, 80 and over, education.field_of_study, telomere, Genome, Leukemia, Age Factors, General Medicine, Environmental exposure, Genomics, Middle Aged, b-cell lymphoma, small cell lymphoma, Italy, 030220 oncology & carcinogenesis, Medicine, epidemiology, Female, France, Risk of B-cell lymphoma subtypes, Risk, Adult, Canada, China, Lymphoma, B-Cell, Genotype, Adolescent, leukocytes, etiology, Population, [SDV.CAN]Life Sciences [q-bio]/Cancer, Biology, Environment, Risk Assessment, methods, Time, 03 medical and health sciences, medicine, Humans, Family, Genetic Predisposition to Disease, education, Molecular Biology, Alleles, Occupational Health, Genetic Association Studies, Aged, B-Cell, International Agencies, Odds ratio, Environmental Exposure, medicine.disease, Telomere, Non-Hodgkin's lymphoma, 030104 developmental biology, Immunology, physiology, Chronic Disease, pathology, Laboratories, metabolism
Abstract: International audience; Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associated single-nucleotide polymorphisms. This approach uses existing genotype data and estimates telomere length by weighing the number of telomere length-associated variant alleles an individual carries with the published change in kb of telomere length. The analysis of the telomere length GRS resulted in an association between longer telomere length and increased NHL risk [four B-cell histologic types combined; odds ratio (OR) = 1.49, 95% CI 1.22-1.82,P-value = 8.5 x 10(-5)]. Subtype-specific analyses indicated that chronic lymphocytic leukemia or small lymphocytic lymphoma (CLL/SLL) was the principal NHL subtype contributing to this association (OR = 2.60, 95% CI 1.93-3.51,P-value = 4.0 x 10(-10)). Significant interactions were observed across strata of sex for CLL/SLL and marginal zone lymphoma subtypes as well as age for the follicular lymphoma subtype. Our results indicate that a genetic background that favors longer telomere length may increase NHL risk, particularly risk of CLL/SLL, and are consistent with earlier studies relating longer telomere length with increased NHL risk
Published: 2016
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28. Challenges and opportunities in pharmacogenomics: studies in cardiovascular disease and asthma

Author: Leusink, M., Sub Pharmacotherapy, Theoretical, Pharmacoepidemiology and Clinical Pharmacology, de Boer, Ton, de Bakker, P.I.W., Maitland - van der Zee, Anke-Hilse, and Onland-Moret, N.C.
Subjects: pharmacogenomics, genomics, cholesterol, genetics, pharmacology, inhaled corticosteroids, asthma, statins
Abstract: A drug that is effective in one group of patients may have a reduced or no effect in other patients. Similarly, the risk for side effects differs between patients. The discipline of pharmacogenomics studies how genetic variation in the population can influence this drug response. In this thesis, we have used multiple approaches to examine these challenges and opportunities in pharmacogenomics: we studied variants with well-established functional effects, used specialized genotyping chips focusing on cardiovascular genes or rare variation, and increased sample sizes by meta-analyzing studies. Thematically, we have focused on common diseases: atherosclerosis, asthma, and high blood pressure. Chapter 1 of this thesis is the General Introduction. In Chapter 2 we review current evidence for associations between genetic variability and differences in response to statins and ACE-inhibitors. Here, we show that the (initial) enthusiasm for possible applications of pharmacogenetic research has resulted in a high number of publications. Many of these studies, which combine genetics with pharmacology, are of low quality, at least in the field of statin pharmacogenetics. This results in false-positive findings and non-replication. Chapter 3 describes three new studies into the pharmacogenetics of statin response. In all studies, we combined evidence from several independent studies, and explored how the polymorphisms change the response to statins. Results of these studies indicated that there is a small, but statistically significant effect of genetic variation on statin efficacy. Chapter 4 presents candidate gene (array) approaches to asthma and lung function pharmacogenetics. Again, the effects of genetic variation on the response to drugs in this disease area are small. The thesis concludes with the General discussion, which provides a general discussion of the findings in a broader perspective, commenting on the implications for clinical practice, methodological challenges and opportunities, and making recommendations for future research. The ideal of ‘personalized medicine’, where every patient receives a tailored treatment, is difficult to achieve due to the small effect sizes, a generally favorable response, and the added difficulty of a need for genotyping. It therefore seems unlikely that it will become the norm in the coming years, especially for common diseases such as atherosclerosis, diabetes, or asthma. We have also seen that there are still many, yet unused, possibilities to improve the current pharmacogenomic research methods, and to have an impact on medicine. Much of this pharmacogenomic research will aid start-ups and established pharmaceutical companies in establishing targets for pharmacological action. Pharmacogenomics can also help to get market approval for drugs, if there are problems with side effects or a lack of efficacy in a genetically-defined subgroup of patients. We further plead for a larger role for multiethnic research in pharmacogenetic research. With a systematic and hypothesis-free approach we have learned a great deal about human biology and disease in the last decade. It is time to turn this knowledge into new and improved therapies.
Published: 2015

29. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

Author: Lenka Foretova, Sophia S. Wang, Hans-Olov Adami, Demetrius Albanes, Andrew D. Zelenetz, Emanuele Angelucci, Paige M. Bracci, Hervé Tilly, Hervé Ghesquières, John J. Spinelli, Kimberly A. Bertrand, Francine Laden, Rebecca D. Jackson, Wendy Cozen, Anne J. Novak, Charles C. Chung, Meredith Yeager, Brian C.-H. Chiu, Jenny Turner, Melissa C. Southey, Gianluca Severi, Simonetta Di Lollo, Lindsay M. Morton, Mark Liebow, Theodore R. Holford, Paolo Boffetta, Paul I.W. de Bakker, Joseph Vijai, Claire M. Vajdic, Anne Kricker, Mark P. Purdue, Stephanie J. Weinstein, Ahmet Dogan, Alain Monnereau, Patricia Hartge, Degui Zhi, Amy K. Hutchinson, Brenda M. Birmann, Charles Lawrence, Elizabeth A. Holly, Marco Rais, Anneclaire J. De Roos, Karin E. Smedby, Sonja I. Berndt, Stephen J. Chanock, Lucia Conde, Stephen M. Ansell, Yan W. Asmann, Yuanqing Ye, David G. Cox, Elio Riboli, Joseph F. Fraumeni, Christine F. Skibola, Christopher R. Flowers, Angela Brooks-Wilson, Amelie S. Veron, Jarmo Virtamo, Danylo J. Villano, Thierry Jo Molina, W. Ryan Diver, James D. McKay, Kenneth Offit, Eve Roman, Jinyan Huang, Xifeng Wu, Marc Maynadie, Yolanda Benavente, Baoshan Ma, Brian K. Link, Thomas E. Witzig, Mads Melbye, George J. Weiner, Zhaoming Wang, Corinne Haioun, Alex Smith, Anthony Staines, Anne Zeleniuch-Jacquotte, Martyn T. Smith, Paul Brennan, Nilanjan Chatterjee, Tracy Lightfoot, Eleanor Kane, Bengt Glimelius, Ju-Hyun Park, Robert J. Klein, Alexandra Nieters, Heiner Boeing, Mariagrazia Zucca, Nathaniel Rothman, Jacqueline Clavel, Qing Lan, Susan L. Slager, Rudolph Kaaks, Diana Zelenika, Nikolaus Becker, Henrik Hjalgrim, Rachel S. Kelly, Roel Vermeulen, Graham G. Giles, Anne Tjønneland, Carrie A. Thompson, Laurie Burdett, Richard K. Severson, Dimitrios Trichopoulos, Yawei Zhang, Kari E. North, Tongzhang Zheng, Jian Gu, Edward Giovannucci, Jacques Riby, Simon Crouch, Gilles Salles, Silvia de Sanjosé, Dennis D. Weisenburger, Thomas M. Habermann, Paolo Vineis, Lesley F. Tinker, Joshua N. Sampson, Liming Liang, Peter Kraft, James R. Cerhan, Lauren R. Teras, Cerhan, J.R., Berndt, S.I., Vijai, J., Ghesquières, H., McKay, J., Wang, S.S., Wang, Z., Yeager, M., Conde, L., De Bakker, P.I.W., Nieters, A., Cox, D., Burdett, L., Monnereau, A., Flowers, C.R., De Roos, A.J., Brooks-Wilson, A.R., Lan, Q., Severi, G., Melbye, M., Gu, J., Jackson, R.D., Kane, E., Teras, L.R., Purdue, M.P., Vajdic, C.M., Spinelli, J.J., Giles, G.G., Albanes, D., Kelly, R.S., Zucca, M., Bertrand, K.A., Zeleniuch-Jacquotte, A., Lawrence, C., Hutchinson, A., Zhi, D., Habermann, T.M., Link, B.K., Novak, A.J., Dogan, A., Asmann, Y.W., Liebow, M., Thompson, C.A., Ansell, S.M., Witzig, T.E., Weiner, G.J., Veron, A.S., Zelenika, D., Tilly, H., Haioun, C., Molina, T.J., Hjalgrim, H., Glimelius, B., Adami, H.-O., Bracci, P.M., Riby, J., Smith, M.T., Holly, E.A., Cozen, W., Hartge, P., Morton, L.M., Severson, R.K., Tinker, L.F., North, K.E., Becker, N., Benavente, Y., Boffetta, P., Brennan, P., Foretova, L., Maynadie, M., Staines, A., Lightfoot, T., Crouch, S., Smith, A., Roman, E., Diver, W.R., Offit, K., Zelenetz, A., Klein, R.J., Villano, D.J., Zheng, T., Zhang, Y., Holford, T.R., Kricker, A., Turner, J., Southey, M.C., Clavel, J., Virtamo, J., Weinstein, S., Riboli, E., Vineis, P., Kaaks, R., Trichopoulos, D., Vermeulen, R.C.H., Boeing, H., Tjonneland, A., Angelucci, E., Di Lollo, S., Rais, M., Birmann, B.M., Laden, F., Giovannucci, E., Kraft, P., Huang, J., Ma, B., Ye, Y., Chiu, B.C.H., Sampson, J., Liang, L., Park, J.-H., Chung, C.C., Weisenburger, D.D., Chatterjee, N., Fraumeni, J.F., Slager, S.L., Wu, X., De Sanjose, S., Smedby, K.E., Salles, G., Skibola, C.F., Rothman, N., and Chanock, S.J.
Subjects: Limfomes, Genotype, Chronic lymphocytic leukemia, Cèl·lules B, Quantitative Trait Loci, Population, Follicular lymphoma, Genome-wide association study, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Article, White People, Genetics, Genetic predisposition, medicine, Humans, Genetic Predisposition to Disease, education, Genetic association, Likelihood Functions, education.field_of_study, B cells, Chromosome Mapping, Computational Biology, medicine.disease, Genetic Loci, large B cell lymphoma (DLBCL), Lymphomas, Lymphoma, Large B-Cell, Diffuse, Diffuse large B-cell lymphoma, Genome-Wide Association Study
Abstract: Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10 '21), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10 '10), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10 '8) and two independent SNPs, rs13255292 and rs4733601, at 8q24.21 (PVT1; P = 9.98 × 10 '13 and 3.63 × 10 '11, respectively). These data provide substantial new evidence for genetic susceptibility to this B cell malignancy and point to pathways involved in immune recognition and immune function in the pathogenesis of DLBCL. © 2014 Nature America, Inc. All rights reserved.
Published: 2014

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29 results on '"De Bakker, P.I.W."'

1. Common variants associated with blood lipid levels do not affect carotid plaque composition

2. WGS-based telomere length analysis in Dutch family trios implicates stronger maternal inheritance and a role for RRM1 gene

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

4. WGS-based telomere length analysis in Dutch family trios implicates stronger maternal inheritance and a role for RRM1 gene

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

6. Genetic variation in uncontrolled childhood asthma despite ICS treatment

7. The genetics of carotid atherosclerosis : Associations with clinical outcome and histological plaque characteristics

8. Genetic variation in uncontrolled childhood asthma despite ICS treatment

9. The genetics of carotid atherosclerosis: Associations with clinical outcome and histological plaque characteristics

10. Polymorphisms of large effect explain the majority of the host genetic contribution to variation of HIV-1 virus load

11. Challenges and opportunities in pharmacogenomics: studies in cardiovascular disease and asthma

12. Genome-wide association study of lymphoblast cell viability after clozapine exposure

13. No evidence for shared genetic basis of common variants in multiple sclerosis and amyotrophic lateral sclerosis

14. Association study of common genetic variants and HIV-1 acquisition in 6,300 infected cases and 7,200 controls

15. Fine-mapping classical HLA variation associated with durable host control of HIV-1 infection in African Americans

16. Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data

17. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

18. Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci

19. Quantitative Trait Loci for CD4:CD8 Lymphocyte Ratio Are Associated with Risk of Type 1 Diabetes and HIV-1 Immune Control

20. The major genetic determinants of HIV-1 control affect HLA class I peptide presentation

21. HLA-B*13:01and the Dapsone Hypersensitivity Syndrome

22. Genome-wide detection and characterization of positive selection in human populations

23. How to kickstart a national biobanking infrastructure – experiences and prospects of BBMRI-NL

24. Sequence-structure homology recognition by iterative alignment refinement and comparative modeling.

25. Defining the role of common variation in the genomic and biological architecture of adult human height

26. Genome-wide association study identifies five susceptibility loci for follicular lymphoma outside the HLA region

27. Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes

28. Challenges and opportunities in pharmacogenomics: studies in cardiovascular disease and asthma

29. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

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29 results on '"De Bakker, P.I.W."'

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