Search

Your search keyword '"Ollier, William ER"' showing total 23 results
Start Over Author "Ollier, William ER"
23 results on '"Ollier, William ER"'

1. A meta-analysis of genome-wide association studies identifies novel variants associated with osteoarthritis of the hip

Author

Evangelou, Evangelos, Kerkhof, Hanneke J, Styrkarsdottir, Unnur, Ntzani, Evangelia E, Bos, Steffan D, Esko, Tonu, Evans, Daniel S, Metrustry, Sarah, Panoutsopoulou, Kalliope, Ramos, Yolande FM, Thorleifsson, Gudmar, Tsilidis, Konstantinos K, Arden, Nigel, Aslam, Nadim, Bellamy, Nicholas, Birrell, Fraser, Blanco, Francisco J, Carr, Andrew, Chapman, Kay, Day-Williams, Aaron G, Deloukas, Panos, Doherty, Michael, Engström, Gunnar, Helgadottir, Hafdis T, Hofman, Albert, Ingvarsson, Thorvaldur, Jonsson, Helgi, Keis, Aime, Keurentjes, J Christiaan, Kloppenburg, Margreet, Lind, Penelope A, McCaskie, Andrew, Martin, Nicholas G, Milani, Lili, Montgomery, Grant W, Nelissen, Rob GHH, Nevitt, Michael C, Nilsson, Peter M, Ollier, William ER, Parimi, Neeta, Rai, Ashok, Ralston, Stuart H, Reed, Mike R, Riancho, Jose A, Rivadeneira, Fernando, Rodriguez-Fontenla, Cristina, Southam, Lorraine, Thorsteinsdottir, Unnur, Tsezou, Aspasia, Wallis, Gillian A, Wilkinson, J Mark, Gonzalez, Antonio, Lane, Nancy E, Lohmander, L Stefan, Loughlin, John, Metspalu, Andres, Uitterlinden, Andre G, Jonsdottir, Ingileif, Stefansson, Kari, Slagboom, P Eline, Zeggini, Eleftheria, Meulenbelt, Ingrid, Ioannidis, John PA, Spector, Tim D, van Meurs, Joyce BJ, Valdes, Ana M, and Consortium, arcOGEN

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Immunology, Prevention, Arthritis, Human Genome, Genetics, Osteoarthritis, Aging, Pain Research, 2.1 Biological and endogenous factors, Musculoskeletal, Calcium-Calmodulin-Dependent Protein Kinase Type 2, Female, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, HMGN Proteins, Homeodomain Proteins, Humans, Immediate-Early Proteins, Male, Nuclear Receptor Coactivator 3, Osteoarthritis, Hip, Polymorphism, Single Nucleotide, Protein Serine-Threonine Kinases, Protein-Tyrosine Kinases, Sex Factors, White People, Dyrk Kinases, arcOGEN Consortium, Epidemiology, Gene Polymorphism, Public Health and Health Services, Arthritis & Rheumatology, Clinical sciences
Abstract

ObjectivesOsteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects.MethodsWe performed a two-stage meta-analysis on more than 78,000 participants. In stage 1, we synthesised data from eight GWAS whereas data from 10 centres were used for 'in silico' or 'de novo' replication. Besides the main analysis, a stratified by sex analysis was performed to detect possible sex-specific signals. Meta-analysis was performed using inverse-variance fixed effects models. A random effects approach was also used.ResultsWe accumulated 11,277 cases of radiographic and symptomatic hip OA. We prioritised eight single nucleotide polymorphism (SNPs) for follow-up in the discovery stage (4349 OA cases); five from the combined analysis, two male specific and one female specific. One locus, at 20q13, represented by rs6094710 (minor allele frequency (MAF) 4%) near the NCOA3 (nuclear receptor coactivator 3) gene, reached genome-wide significance level with p=7.9×10(-9) and OR=1.28 (95% CI 1.18 to 1.39) in the combined analysis of discovery (p=5.6×10(-8)) and follow-up studies (p=7.3×10(-4)). We showed that this gene is expressed in articular cartilage and its expression was significantly reduced in OA-affected cartilage. Moreover, two loci remained suggestive associated; rs5009270 at 7q31 (MAF 30%, p=9.9×10(-7), OR=1.10) and rs3757837 at 7p13 (MAF 6%, p=2.2×10(-6), OR=1.27 in male specific analysis).ConclusionsNovel genetic loci for hip OA were found in this meta-analysis of GWAS.

Published
2014

4. A pragmatic randomized controlled trial of thiopurine methyltransferase genotyping prior to azathioprine treatment: the TARGET study

Author

Newman, William G, Payne, Katherine, Tricker, Karen, Roberts, Stephen A, Fargher, Emily, Pushpakom, Sudeep, Alder, Jane E, Sidgwick, Gary P, Payne, Debbie, Elliott, Rachel A, Heise, Marco, Elles, Robert, Ramsden, Simon C, Andrews, Julie, Houston, Brian J, Qasim, Faeiza, Shaffer, Jon, Griffiths, Christopher EM, Ray, David W, Bruce, Ian, and Ollier, William ER

Published
2011
Full Text
View/download PDF

8. Dogslife: A web-based longitudinal study of Labrador Retriever health in the UK

Author

Clements Dylan N, Handel Ian G, Rose Erica, Querry Damon, Pugh Carys A, Ollier William ER, Morgan Kenton L, Kennedy Lorna J, Sampson Jeffery, Summers Kim M, and de Bronsvoort B Mark C

Subjects
Veterinary medicine, SF600-1100
Abstract

Abstract Background Dogslife is the first large-scale internet-based longitudinal study of canine health. The study has been designed to examine how environmental and genetic factors influence the health and development of a birth cohort of UK-based pedigree Labrador Retrievers. Results In the first 12 months of the study 1,407 Kennel Club (KC) registered eligible dogs were recruited, at a mean age of 119 days of age (SD 69 days, range 3 days – 504 days). Recruitment rates varied depending upon the study team’s ability to contact owners. Where owners authorised the provision of contact details 8.4% of dogs were recruited compared to 1.3% where no direct contact was possible. The proportion of dogs recruited was higher for owners who transferred the registration of their puppy from the breeder to themselves with the KC, and for owners who were sent an e-mail or postcard requesting participation in the project. Compliance with monthly updates was highly variable. For the 280 dogs that were aged 400 days or more on the 30th June 2011, we estimated between 39% and 45% of owners were still actively involved in the project. Initial evaluation suggests that the cohort is representative of the general population of the KC registered Labrador Retrievers eligible to enrol with the project. Clinical signs of illnesses were reported in 44.3% of Labrador Retrievers registered with Dogslife (median age of first illness 138 days), although only 44.1% of these resulted in a veterinary presentation (median age 316 days). Conclusions The web-based platform has enabled the recruitment of a representative population of KC registered Labrador Retrievers, providing the first large-scale longitudinal population-based study of dog health. The use of multiple different methods (e-mail, post and telephone) of contact with dog owners was essential to maximise recruitment and retention of the cohort.

Published
2013
Full Text
View/download PDF

9. Observational study on variability between biobanks in the estimation of DNA concentration

Author

McArdle Wendy, Lewis David H, Laiho Päivi, Lagerberg Camilla, Krinka Dagni, Ke Xiayi, Illig Thomas, Hardy Matthew, Gwilliam Rhian, Foedinger Manuela, Dixon Katherine P, Bracegirdle Pippa, Aslanidis Charalampos, Donev Alexander N, Brown Jay, Patton Simon, Ring Susan M, Schmitz Gerd, Stevens Helen, Tybring Gunnel, Wichmann H Erich, Ollier William ER, and Yuille Martin A

Subjects
Medicine, Biology (General), QH301-705.5, Science (General), Q1-390
Abstract

Abstract Background There is little confidence in the consistency of estimation of DNA concentrations when samples move between laboratories. Evidence on this consistency is largely anecdotal. Therefore there is a need first to measure this consistency among different laboratories and then identify and implement remedies. A pilot experiment to test logistics and provide initial data on consistency was therefore conceived. Methods DNA aliquots at nominal concentrations between 10 and 300 ng/μl were dispensed into the wells of 96-well plates by one participant - the coordinating centre. Participants estimated the concentration in each well and returned estimates to the coordinating centre. Results Considerable overall variability was observed among estimates. There were statistically significant differences between participants' measurements and between fluorescence emission and absorption spectroscopy. Conclusion Anecdotal evidence of variability in DNA concentration estimation has been substantiated. Reduction in variability between participants will require the identification of major sources of variation, specification of effective remedies and their implementation.

Published
2009
Full Text
View/download PDF

10. Nitric oxide synthase 2A (NOS2A) polymorphisms are not associated with invasive pneumococcal disease

Author

Ollier William ER, Hart C Anthony, Banda Daniel L, Mankhambo Limangeni A, Payne Debbie, Payton Antony, and Carrol Enitan D

Subjects
Internal medicine, RC31-1245, Genetics, QH426-470
Abstract

Abstract Background Streptococcus pneumoniae (pneumococcus) is responsible for over one million deaths per year, with young children, the elderly and immunocompromised individuals being most at risk. Approximately half of East African children have been reported to be asymptomatic carriers of pneumococcus with invasive infection occurring after the disruption of the respiratory membrane which is believed to be caused by the host immune response. Racial incidence of invasive pneumococcal disease (IPD) is higher in certain populations even after adjusting for environmental factors suggesting a genetic component to disease susceptibility. The nitric oxide synthase 2A (NOS2A) gene is responsible for the production of nitric oxide under pathological conditions including host defence against bacterial infection. Nitric oxide is a modulator of apoptotic and inflammatory cascades and endothelial permeability. We hypothesised that genetic variants within this gene may predispose to disease risk and survival. Methods A cohort of 299 children with IPD (221 meningitis, 41 pneumonia and 37 with bacteraemia) and 931 age matched controls from Malawi were used in this study. We investigated nine haplotype tagging single nucleotide polymorphisms within the NOS2A gene and compared the presence or absence of the minor alleles in cases and controls and survivors and non-survivors within the cases. Results We observed no significant associations between cases and controls or with survival in either all IPD cases or in the separate analysis of meningitis cases. A near significant association was obtained for the comparison of rs8078340 in cases and controls (p-value, 0.078). However, results were unadjusted for multiple testing. Conclusion Our results suggest that polymorphic variation within the NOS2A gene does not influence invasive pneumococcal disease susceptibility or survival.

Published
2009
Full Text
View/download PDF

11. Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence

Author

Sniekers, Suzanne, Stringer, Sven, Watanabe, Kyoko, Jansen, Philip R, Coleman, Jonathan RI, Krapohl, Eva, Taskesen, Erdogan, Hammerschlag, Anke R, Okbay, Aysu, Zabaneh, Delilah, Amin, Najaf, Breen, Gerome, Cesarini, David, Chabris, Christopher F, Iacono, William G, Ikram, M Arfan, Johannesson, Magnus, Koellinger, Philipp, Lee, James J, Magnusson, Patrik KE, McGue, Matt, Miller, Mike B, Ollier, William ER, Payton, Antony, Pendleton, Neil, Plomin, Robert, Rietveld, Cornelius A, Tiemeier, Henning, van Duijn, Cornelia M, Posthuma, Danielle, Sniekers, Suzanne, Stringer, Sven, Watanabe, Kyoko, Jansen, Philip R, Coleman, Jonathan RI, Krapohl, Eva, Taskesen, Erdogan, Hammerschlag, Anke R, Okbay, Aysu, Zabaneh, Delilah, Amin, Najaf, Breen, Gerome, Cesarini, David, Chabris, Christopher F, Iacono, William G, Ikram, M Arfan, Johannesson, Magnus, Koellinger, Philipp, Lee, James J, Magnusson, Patrik KE, McGue, Matt, Miller, Mike B, Ollier, William ER, Payton, Antony, Pendleton, Neil, Plomin, Robert, Rietveld, Cornelius A, Tiemeier, Henning, van Duijn, Cornelia M, and Posthuma, Danielle

Abstract

Intelligence is associated with important economic and health-related life outcomes1. Despite intelligence having substantial heritability2 (0.54) and a confirmed polygenic nature, initial genetic studies were mostly underpowered3,4,5. Here we report a meta-analysis for intelligence of 78,308 individuals. We identify 336 associated SNPs (METAL P < 5 × 10−8) in 18 genomic loci, of which 15 are new. Around half of the SNPs are located inside a gene, implicating 22 genes, of which 11 are new findings. Gene-based analyses identified an additional 30 genes (MAGMA P < 2.73 × 10−6), of which all but one had not been implicated previously. We show that the identified genes are predominantly expressed in brain tissue, and pathway analysis indicates the involvement of genes regulating cell development (MAGMA competitive P = 3.5 × 10−6). Despite the well-known difference in twin-based heritability2 for intelligence in childhood (0.45) and adulthood (0.80), we show substantial genetic correlation (rg = 0.89, LD score regression P = 5.4 × 10−29). These findings provide new insight into the genetic architecture of intelligence.

Published
2017

12. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity

Author

Joshi, Peter K, Pirastu, Nicola, Kentistou, Katherine A, Fischer, Krista, Hofer, Edith, Schraut, Katharina E, Clark, David W, Nutile, Teresa, Barnes, Catriona LK, Timmers, Paul RHJ, Shen, Xia, Gandin, Ilaria, McDaid, Aaron F, Hansen, Thomas Folkmann, Gordon, Scott D, Giulianini, Franco, Boutin, Thibaud S, Abdellaoui, Abdel, Zhao, Wei, Medina-Gomez, Carolina, Bartz, Traci M, Trompet, Stella, Lange, Leslie A, Raffield, Laura, van der Spek, Ashley, Galesloot, Tessel E, Proitsi, Petroula, Yanek, Lisa R, Bielak, Lawrence F, Payton, Antony, Murgia, Federico, Concas, Maria Pina, Biino, Ginevra, Tajuddin, Salman M, Seppälä, Ilkka, Amin, Najaf, Boerwinkle, Eric, Børglum, Anders D, Campbell, Archie, Demerath, Ellen W, Demuth, Ilja, Faul, Jessica D, Ford, Ian, Gialluisi, Alessandro, Gögele, Martin, Graff, MariaElisa, Hingorani, Aroon, Hottenga, Jouke-Jan, Hougaard, David M, Hurme, Mikko A, Ikram, M Arfan, Jylhä, Marja, Kuh, Diana, Ligthart, Lannie, Lill, Christina M, Lindenberger, Ulman, Lumley, Thomas, Mägi, Reedik, Marques-Vidal, Pedro, Medland, Sarah E, Milani, Lili, Nagy, Reka, Ollier, William ER, Peyser, Patricia A, Pramstaller, Peter P, Ridker, Paul M, Rivadeneira, Fernando, Ruggiero, Daniela, Saba, Yasaman, Schmidt, Reinhold, Schmidt, Helena, Slagboom, P Eline, Smith, Blair H, Smith, Jennifer A, Sotoodehnia, Nona, Steinhagen-Thiessen, Elisabeth, van Rooij, Frank JA, Verbeek, André L, Vermeulen, Sita H, Vollenweider, Peter, Wang, Yunpeng, Werge, Thomas, Whitfield, John B, Zonderman, Alan B, Lehtimäki, Terho, Evans, Michele K, Pirastu, Mario, Fuchsberger, Christian, Bertram, Lars, Pendleton, Neil, Kardia, Sharon LR, Ciullo, Marina, Becker, Diane M, Wong, Andrew, Psaty, Bruce M, van Duijn, Cornelia M, Wilson, James G, Jukema, J Wouter, Kiemeney, Lambertus, Uitterlinden, André G, Franceschini, Nora, North, Kari E, Weir, David R, Metspalu, Andres, Boomsma, Dorret I, Hayward, Caroline, Chasman, Daniel, Martin, Nicholas G, Sattar, Naveed, Campbell, Harry, Esko, Tōnu, Kutalik, Zoltán, Wilson, James F, Joshi, Peter K, Pirastu, Nicola, Kentistou, Katherine A, Fischer, Krista, Hofer, Edith, Schraut, Katharina E, Clark, David W, Nutile, Teresa, Barnes, Catriona LK, Timmers, Paul RHJ, Shen, Xia, Gandin, Ilaria, McDaid, Aaron F, Hansen, Thomas Folkmann, Gordon, Scott D, Giulianini, Franco, Boutin, Thibaud S, Abdellaoui, Abdel, Zhao, Wei, Medina-Gomez, Carolina, Bartz, Traci M, Trompet, Stella, Lange, Leslie A, Raffield, Laura, van der Spek, Ashley, Galesloot, Tessel E, Proitsi, Petroula, Yanek, Lisa R, Bielak, Lawrence F, Payton, Antony, Murgia, Federico, Concas, Maria Pina, Biino, Ginevra, Tajuddin, Salman M, Seppälä, Ilkka, Amin, Najaf, Boerwinkle, Eric, Børglum, Anders D, Campbell, Archie, Demerath, Ellen W, Demuth, Ilja, Faul, Jessica D, Ford, Ian, Gialluisi, Alessandro, Gögele, Martin, Graff, MariaElisa, Hingorani, Aroon, Hottenga, Jouke-Jan, Hougaard, David M, Hurme, Mikko A, Ikram, M Arfan, Jylhä, Marja, Kuh, Diana, Ligthart, Lannie, Lill, Christina M, Lindenberger, Ulman, Lumley, Thomas, Mägi, Reedik, Marques-Vidal, Pedro, Medland, Sarah E, Milani, Lili, Nagy, Reka, Ollier, William ER, Peyser, Patricia A, Pramstaller, Peter P, Ridker, Paul M, Rivadeneira, Fernando, Ruggiero, Daniela, Saba, Yasaman, Schmidt, Reinhold, Schmidt, Helena, Slagboom, P Eline, Smith, Blair H, Smith, Jennifer A, Sotoodehnia, Nona, Steinhagen-Thiessen, Elisabeth, van Rooij, Frank JA, Verbeek, André L, Vermeulen, Sita H, Vollenweider, Peter, Wang, Yunpeng, Werge, Thomas, Whitfield, John B, Zonderman, Alan B, Lehtimäki, Terho, Evans, Michele K, Pirastu, Mario, Fuchsberger, Christian, Bertram, Lars, Pendleton, Neil, Kardia, Sharon LR, Ciullo, Marina, Becker, Diane M, Wong, Andrew, Psaty, Bruce M, van Duijn, Cornelia M, Wilson, James G, Jukema, J Wouter, Kiemeney, Lambertus, Uitterlinden, André G, Franceschini, Nora, North, Kari E, Weir, David R, Metspalu, Andres, Boomsma, Dorret I, Hayward, Caroline, Chasman, Daniel, Martin, Nicholas G, Sattar, Naveed, Campbell, Harry, Esko, Tōnu, Kutalik, Zoltán, and Wilson, James F

Abstract

Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents' survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.

Published
2017

13. Genome-wide association study identifies 74 loci associated with educational attainment

Author

Okbay, Aysu, Beauchamp, Jonathan P, Fontana, Mark Alan, Lee, James J, Pers, Tune H, Rietveld, Cornelius A, Turley, Patrick, Chen, Guo-Bo, Emilsson, Valur, Meddens, S Fleur W, Oskarsson, Sven, Pickrell, Joseph K, Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Abdellaoui, Abdel, Ahluwalia, Tarunveer S, Bacelis, Jonas, Baumbach, Clemens, Bjornsdottir, Gyda, Brandsma, Johannes H, Pina Concas, Maria, Derringer, Jaime, Furlotte, Nicholas A, Galesloot, Tessel E, Girotto, Giorgia, Gupta, Richa, Hall, Leanne M, Harris, Sarah E, Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E, Kaasik, Kadri, Kalafati, Ioanna P, Karlsson, Robert, Kong, Augustine, Lahti, Jari, Lee, Sven J van der, deLeeuw, Christiaan, Lind, Penelope A, Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B, van der Most, Peter J, Oldmeadow, Christopher, Payton, Antony, Pervjakova, Natalia, Peyrot, Wouter J, Qian, Yong, Raitakari, Olli, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E, Shi, Jianxin, Smith, Albert V, Poot, Raymond A, St Pourcain, Beate, Teumer, Alexander, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Westra, Harm-Jan, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z, Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E, Biino, Ginevra, Bønnelykke, Klaus, Boyle, Patricia A, Campbell, Harry, Cappuccio, Francesco P, Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Panos, Demuth, Ilja, Ding, Jun, Eibich, Peter, Eisele, Lewin, Eklund, Niina, Evans, David M, Faul, Jessica D, Feitosa, Mary F, Forstner, Andreas J, Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V, Harris, Tamara B, Heath, Andrew C, Hocking, Lynne J, Holliday, Elizabeth G, Homuth, Georg, Horan, Michael A, Hottenga, Jouke-Jan, de Jager, Philip L, Joshi, Peter K, Jugessur, Astanand, Kaakinen, Marika A, Kähönen, Mika, Kanoni, Stavroula, Keltigangas-Järvinen, Liisa, Kiemeney, Lambertus ALM, Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T, Kroh, Martin, Kutalik, Zoltan, Latvala, Antti, Launer, Lenore J, Lebreton, Maël P, Levinson, Douglas F, Lichtenstein, Paul, Lichtner, Peter, Liewald, David CM, Cohort Study, LifeLines, Loukola, Anu, Madden, Pamela A, Mägi, Reedik, Mäki-Opas, Tomi, Marioni, Riccardo E, Marques-Vidal, Pedro, Meddens, Gerardus A, McMahon, George, Meisinger, Christa, Meitinger, Thomas, Milaneschi, Yusplitri, Milani, Lili, Montgomery, Grant W, Myhre, Ronny, Nelson, Christopher P, Nyholt, Dale R, Ollier, William ER, Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L, Petrovic, Katja E, Porteous, David J, Räikkönen, Katri, Ring, Susan M, Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R, Sarin, Antti-Pekka, Schmidt, Helena, Scott, Rodney J, Smith, Blair H, Smith, Jennifer A, Staessen, Jan A, Steinhagen-Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D, Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, van Rooij, Frank JA, Venturini, Cristina, Vinkhuyzen, Anna AE, Völker, Uwe, Völzke, Henry, Vonk, Judith M, Vozzi, Diego, Waage, Johannes, Ware, Erin B, Willemsen, Gonneke, Attia, John R, Bennett, David A, Berger, Klaus, Bertram, Lars, Bisgaard, Hans, Boomsma, Dorret I, Borecki, Ingrid B, Bültmann, Ute, Chabris, Christopher F, Cucca, Francesco, Cusi, Daniele, Deary, Ian J, Dedoussis, George V, van Duijn, Cornelia M, Eriksson, Johan G, Franke, Barbara, Franke, Lude, Gasparini, Paolo, Gejman, Pablo V, Gieger, Christian, Grabe, Hans-Jörgen, Gratten, Jacob, Groenen, Patrick JF, Gudnason, Vilmundur, van der Harst, Pim, Hayward, Caroline, Hinds, David A, Hoffmann, Wolfgang, Hyppönen, Elina, Iacono, William G, Jacobsson, Bo, Järvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon LR, Lehtimäki, Terho, Lehrer, Steven F, Magnusson, Patrik KE, Martin, Nicholas G, McGue, Matt, Metspalu, Andres, Pendleton, Neil, Penninx, Brenda WJH, Perola, Markus, Pirastu, Nicola, Pirastu, Mario, Polasek, Ozren, Posthuma, Danielle, Power, Christine, Province, Michael A, Samani, Nilesh J, Schlessinger, David, Schmidt, Reinhold, Sørensen, Thorkild IA, Spector, Tim D, Stefansson, Kari, Thorsteinsdottir, Unnur, Thurik, A Roy, Timpson, Nicholas J, Tiemeier, Henning, Tung, Joyce Y, Uitterlinden, André G, Vitart, Veronique, Vollenweider, Peter, Weir, David R, Wilson, James F, Wright, Alan F, Conley, Dalton C, Krueger, Robert F, Davey Smith, George, Hofman, Albert, Laibson, David I, Medland, Sarah E, Meyer, Michelle N, Yang, Jian, Johannesson, Magnus, Visscher, Peter M, Esko, Tõnu, Koellinger, Philipp D, Cesarini, David, Benjamin, Daniel J, Okbay, Aysu, Beauchamp, Jonathan P, Fontana, Mark Alan, Lee, James J, Pers, Tune H, Rietveld, Cornelius A, Turley, Patrick, Chen, Guo-Bo, Emilsson, Valur, Meddens, S Fleur W, Oskarsson, Sven, Pickrell, Joseph K, Thom, Kevin, Timshel, Pascal, de Vlaming, Ronald, Abdellaoui, Abdel, Ahluwalia, Tarunveer S, Bacelis, Jonas, Baumbach, Clemens, Bjornsdottir, Gyda, Brandsma, Johannes H, Pina Concas, Maria, Derringer, Jaime, Furlotte, Nicholas A, Galesloot, Tessel E, Girotto, Giorgia, Gupta, Richa, Hall, Leanne M, Harris, Sarah E, Hofer, Edith, Horikoshi, Momoko, Huffman, Jennifer E, Kaasik, Kadri, Kalafati, Ioanna P, Karlsson, Robert, Kong, Augustine, Lahti, Jari, Lee, Sven J van der, deLeeuw, Christiaan, Lind, Penelope A, Lindgren, Karl-Oskar, Liu, Tian, Mangino, Massimo, Marten, Jonathan, Mihailov, Evelin, Miller, Michael B, van der Most, Peter J, Oldmeadow, Christopher, Payton, Antony, Pervjakova, Natalia, Peyrot, Wouter J, Qian, Yong, Raitakari, Olli, Rueedi, Rico, Salvi, Erika, Schmidt, Börge, Schraut, Katharina E, Shi, Jianxin, Smith, Albert V, Poot, Raymond A, St Pourcain, Beate, Teumer, Alexander, Thorleifsson, Gudmar, Verweij, Niek, Vuckovic, Dragana, Wellmann, Juergen, Westra, Harm-Jan, Yang, Jingyun, Zhao, Wei, Zhu, Zhihong, Alizadeh, Behrooz Z, Amin, Najaf, Bakshi, Andrew, Baumeister, Sebastian E, Biino, Ginevra, Bønnelykke, Klaus, Boyle, Patricia A, Campbell, Harry, Cappuccio, Francesco P, Davies, Gail, De Neve, Jan-Emmanuel, Deloukas, Panos, Demuth, Ilja, Ding, Jun, Eibich, Peter, Eisele, Lewin, Eklund, Niina, Evans, David M, Faul, Jessica D, Feitosa, Mary F, Forstner, Andreas J, Gandin, Ilaria, Gunnarsson, Bjarni, Halldórsson, Bjarni V, Harris, Tamara B, Heath, Andrew C, Hocking, Lynne J, Holliday, Elizabeth G, Homuth, Georg, Horan, Michael A, Hottenga, Jouke-Jan, de Jager, Philip L, Joshi, Peter K, Jugessur, Astanand, Kaakinen, Marika A, Kähönen, Mika, Kanoni, Stavroula, Keltigangas-Järvinen, Liisa, Kiemeney, Lambertus ALM, Kolcic, Ivana, Koskinen, Seppo, Kraja, Aldi T, Kroh, Martin, Kutalik, Zoltan, Latvala, Antti, Launer, Lenore J, Lebreton, Maël P, Levinson, Douglas F, Lichtenstein, Paul, Lichtner, Peter, Liewald, David CM, Cohort Study, LifeLines, Loukola, Anu, Madden, Pamela A, Mägi, Reedik, Mäki-Opas, Tomi, Marioni, Riccardo E, Marques-Vidal, Pedro, Meddens, Gerardus A, McMahon, George, Meisinger, Christa, Meitinger, Thomas, Milaneschi, Yusplitri, Milani, Lili, Montgomery, Grant W, Myhre, Ronny, Nelson, Christopher P, Nyholt, Dale R, Ollier, William ER, Palotie, Aarno, Paternoster, Lavinia, Pedersen, Nancy L, Petrovic, Katja E, Porteous, David J, Räikkönen, Katri, Ring, Susan M, Robino, Antonietta, Rostapshova, Olga, Rudan, Igor, Rustichini, Aldo, Salomaa, Veikko, Sanders, Alan R, Sarin, Antti-Pekka, Schmidt, Helena, Scott, Rodney J, Smith, Blair H, Smith, Jennifer A, Staessen, Jan A, Steinhagen-Thiessen, Elisabeth, Strauch, Konstantin, Terracciano, Antonio, Tobin, Martin D, Ulivi, Sheila, Vaccargiu, Simona, Quaye, Lydia, van Rooij, Frank JA, Venturini, Cristina, Vinkhuyzen, Anna AE, Völker, Uwe, Völzke, Henry, Vonk, Judith M, Vozzi, Diego, Waage, Johannes, Ware, Erin B, Willemsen, Gonneke, Attia, John R, Bennett, David A, Berger, Klaus, Bertram, Lars, Bisgaard, Hans, Boomsma, Dorret I, Borecki, Ingrid B, Bültmann, Ute, Chabris, Christopher F, Cucca, Francesco, Cusi, Daniele, Deary, Ian J, Dedoussis, George V, van Duijn, Cornelia M, Eriksson, Johan G, Franke, Barbara, Franke, Lude, Gasparini, Paolo, Gejman, Pablo V, Gieger, Christian, Grabe, Hans-Jörgen, Gratten, Jacob, Groenen, Patrick JF, Gudnason, Vilmundur, van der Harst, Pim, Hayward, Caroline, Hinds, David A, Hoffmann, Wolfgang, Hyppönen, Elina, Iacono, William G, Jacobsson, Bo, Järvelin, Marjo-Riitta, Jöckel, Karl-Heinz, Kaprio, Jaakko, Kardia, Sharon LR, Lehtimäki, Terho, Lehrer, Steven F, Magnusson, Patrik KE, Martin, Nicholas G, McGue, Matt, Metspalu, Andres, Pendleton, Neil, Penninx, Brenda WJH, Perola, Markus, Pirastu, Nicola, Pirastu, Mario, Polasek, Ozren, Posthuma, Danielle, Power, Christine, Province, Michael A, Samani, Nilesh J, Schlessinger, David, Schmidt, Reinhold, Sørensen, Thorkild IA, Spector, Tim D, Stefansson, Kari, Thorsteinsdottir, Unnur, Thurik, A Roy, Timpson, Nicholas J, Tiemeier, Henning, Tung, Joyce Y, Uitterlinden, André G, Vitart, Veronique, Vollenweider, Peter, Weir, David R, Wilson, James F, Wright, Alan F, Conley, Dalton C, Krueger, Robert F, Davey Smith, George, Hofman, Albert, Laibson, David I, Medland, Sarah E, Meyer, Michelle N, Yang, Jian, Johannesson, Magnus, Visscher, Peter M, Esko, Tõnu, Koellinger, Philipp D, Cesarini, David, and Benjamin, Daniel J

Abstract

Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals1. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample1,2 of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.

Published
2016

17. Insulin-like growth factor-II and insulin-like growth factor binding protein-2 prospectively predict longitudinal elevation of HDL-cholesterol in type 2 diabetes

Author

Narayanan, Ram P, primary, Fu, Bo, additional, Oliver, Robert L, additional, Siddals, Kirk W, additional, Donn, Rachelle, additional, Hudson, Julie E, additional, White, Anne, additional, Laing, Ian, additional, Ollier, William ER, additional, Heald, Adrian H, additional, and Gibson, JM, additional

Published
2013
Full Text
View/download PDF

22. Observational study on variability between biobanks in the estimation of DNA concentration

Author

Brown, Jay, primary, Donev, Alexander N, additional, Aslanidis, Charalampos, additional, Bracegirdle, Pippa, additional, Dixon, Katherine P, additional, Foedinger, Manuela, additional, Gwilliam, Rhian, additional, Hardy, Matthew, additional, Illig, Thomas, additional, Ke, Xiayi, additional, Krinka, Dagni, additional, Lagerberg, Camilla, additional, Laiho, Päivi, additional, Lewis, David H, additional, McArdle, Wendy, additional, Patton, Simon, additional, Ring, Susan M, additional, Schmitz, Gerd, additional, Stevens, Helen, additional, Tybring, Gunnel, additional, Wichmann, H Erich, additional, Ollier, William ER, additional, and Yuille, Martin A, additional

Published
2009
Full Text
View/download PDF

23. Insulin-like growth factor-II and insulin-like growth factor binding protein-2 prospectively predict longitudinal elevation of HDL-cholesterol in type 2 diabetes.

Author

Narayanan, Ram P, Fu, Bo, Oliver, Robert L, Siddals, Kirk W, Donn, Rachelle, Hudson, Julie E, White, Anne, Laing, Ian, Ollier, William ER, Heald, Adrian H, and Gibson, JM

Subjects
INSULIN-like growth factor-binding proteins, SOMATOMEDIN A, PEOPLE with diabetes, HIGH density lipoproteins, CHOLESTEROL
Abstract

The article presents a study which examines the association of insulin-like growth factor binding protein-2 (IGFBP-2) and insulin-like growth factor-II (IGF-II) with cardiovascular risk in subjects with type 2 diabetes. The study found the relation of high-density lipoprotein (HDL) cholesterol to log-IGF-II concentration in a model adjusted for estimated glomerular filtration rate, baseline body mass index, and age. The IGFBP-2 and the IGFBP-II were noted to relate with high HDL cholesterol.

Published
2014
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results