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9 results on '"McArdle, Wendy L"'

1. Genome-wide association study identifies 48 common genetic variants associated with handedness

Author

Cuellar-Partida, Gabriel, Tung, Joyce Y, Eriksson, Nicholas, Albrecht, Eva, Aliev, Fazil, Andreassen, Ole A, Barroso, Inês, Beckmann, Jacques S, Boks, Marco P, Boomsma, Dorret I, Boyd, Heather A, Breteler, Monique MB, Campbell, Harry, Chasman, Daniel I, Cherkas, Lynn F, Davies, Gail, de Geus, Eco JC, Deary, Ian J, Deloukas, Panos, Dick, Danielle M, Duffy, David L, Eriksson, Johan G, Esko, Tõnu, Feenstra, Bjarke, Geller, Frank, Gieger, Christian, Giegling, Ina, Gordon, Scott D, Han, Jiali, Hansen, Thomas F, Hartmann, Annette M, Hayward, Caroline, Heikkilä, Kauko, Hicks, Andrew A, Hirschhorn, Joel N, Hottenga, Jouke-Jan, Huffman, Jennifer E, Hwang, Liang-Dar, Ikram, M Arfan, Kaprio, Jaakko, Kemp, John P, Khaw, Kay-Tee, Klopp, Norman, Konte, Bettina, Kutalik, Zoltan, Lahti, Jari, Li, Xin, Loos, Ruth JF, Luciano, Michelle, Magnusson, Sigurdur H, Mangino, Massimo, Marques-Vidal, Pedro, Martin, Nicholas G, McArdle, Wendy L, McCarthy, Mark I, Medina-Gomez, Carolina, Melbye, Mads, Melville, Scott A, Metspalu, Andres, Milani, Lili, Mooser, Vincent, Nelis, Mari, Nyholt, Dale R, O’Connell, Kevin S, Ophoff, Roel A, Palmer, Cameron, Palotie, Aarno, Palviainen, Teemu, Pare, Guillaume, Paternoster, Lavinia, Peltonen, Leena, Penninx, Brenda WJH, Polasek, Ozren, Pramstaller, Peter P, Prokopenko, Inga, Raikkonen, Katri, Ripatti, Samuli, Rivadeneira, Fernando, Rudan, Igor, Rujescu, Dan, Smit, Johannes H, Smith, George Davey, Smoller, Jordan W, Soranzo, Nicole, Spector, Tim D, Pourcain, Beate St, Starr, John M, Stefánsson, Hreinn, Steinberg, Stacy, Teder-Laving, Maris, Thorleifsson, Gudmar, Stefánsson, Kári, Timpson, Nicholas J, Uitterlinden, André G, van Duijn, Cornelia M, van Rooij, Frank JA, Vink, Jaqueline M, Vollenweider, Peter, Vuoksimaa, Eero, and Waeber, Gérard

Subjects
Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Human Genome, Mental Health, Brain Disorders, Neurosciences, Schizophrenia, Genetics, 2.1 Biological and endogenous factors, Aetiology, Mental health, Adult, Aged, Female, Functional Laterality, Gene Frequency, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Male, Middle Aged, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable, Sex Factors, Biomedical and clinical sciences, Health sciences
Abstract

Handedness has been extensively studied because of its relationship with language and the over-representation of left-handers in some neurodevelopmental disorders. Using data from the UK Biobank, 23andMe and the International Handedness Consortium, we conducted a genome-wide association meta-analysis of handedness (N = 1,766,671). We found 41 loci associated (P

Published
2021

2. Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study

Author

de Vries, Paul S, Sabater-Lleal, Maria, Chasman, Daniel I, Trompet, Stella, Ahluwalia, Tarunveer S, Teumer, Alexander, Kleber, Marcus E, Chen, Ming-Huei, Wang, Jie Jin, Attia, John R, Marioni, Riccardo E, Steri, Maristella, Weng, Lu-Chen, Pool, Rene, Grossmann, Vera, Brody, Jennifer A, Venturini, Cristina, Tanaka, Toshiko, Rose, Lynda M, Oldmeadow, Christopher, Mazur, Johanna, Basu, Saonli, Frånberg, Mattias, Yang, Qiong, Ligthart, Symen, Hottenga, Jouke J, Rumley, Ann, Mulas, Antonella, de Craen, Anton JM, Grotevendt, Anne, Taylor, Kent D, Delgado, Graciela E, Kifley, Annette, Lopez, Lorna M, Berentzen, Tina L, Mangino, Massimo, Bandinelli, Stefania, Morrison, Alanna C, Hamsten, Anders, Tofler, Geoffrey, de Maat, Moniek PM, Draisma, Harmen HM, Lowe, Gordon D, Zoledziewska, Magdalena, Sattar, Naveed, Lackner, Karl J, Völker, Uwe, McKnight, Barbara, Huang, Jie, Holliday, Elizabeth G, McEvoy, Mark A, Starr, John M, Hysi, Pirro G, Hernandez, Dena G, Guan, Weihua, Rivadeneira, Fernando, McArdle, Wendy L, Slagboom, P Eline, Zeller, Tanja, Psaty, Bruce M, Uitterlinden, André G, de Geus, Eco JC, Stott, David J, Binder, Harald, Hofman, Albert, Franco, Oscar H, Rotter, Jerome I, Ferrucci, Luigi, Spector, Tim D, Deary, Ian J, März, Winfried, Greinacher, Andreas, Wild, Philipp S, Cucca, Francesco, Boomsma, Dorret I, Watkins, Hugh, Tang, Weihong, Ridker, Paul M, Jukema, Jan W, Scott, Rodney J, Mitchell, Paul, Hansen, Torben, O'Donnell, Christopher J, Smith, Nicholas L, Strachan, David P, and Dehghan, Abbas

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Genome-Wide Association Study, HapMap Project, Humans, General Science & Technology
Abstract

An increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with the expectation that 1000G imputation will lead to the discovery of additional associated loci when compared to HapMap imputation. In order to assess the improvement of 1000G over HapMap imputation in identifying associated loci, we compared the results of GWA studies of circulating fibrinogen based on the two reference panels. Using both HapMap and 1000G imputation we performed a meta-analysis of 22 studies comprising the same 91,953 individuals. We identified six additional signals using 1000G imputation, while 29 loci were associated using both HapMap and 1000G imputation. One locus identified using HapMap imputation was not significant using 1000G imputation. The genome-wide significance threshold of 5×10-8 is based on the number of independent statistical tests using HapMap imputation, and 1000G imputation may lead to further independent tests that should be corrected for. When using a stricter Bonferroni correction for the 1000G GWA study (P-value < 2.5×10-8), the number of loci significant only using HapMap imputation increased to 4 while the number of loci significant only using 1000G decreased to 5. In conclusion, 1000G imputation enabled the identification of 20% more loci than HapMap imputation, although the advantage of 1000G imputation became less clear when a stricter Bonferroni correction was used. More generally, our results provide insights that are applicable to the implementation of other dense reference panels that are under development.

Published
2017

3. A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration

Author

de Vries, Paul S, Chasman, Daniel I, Sabater-Lleal, Maria, Chen, Ming-Huei, Huffman, Jennifer E, Steri, Maristella, Tang, Weihong, Teumer, Alexander, Marioni, Riccardo E, Grossmann, Vera, Hottenga, Jouke J, Trompet, Stella, Müller-Nurasyid, Martina, Zhao, Jing Hua, Brody, Jennifer A, Kleber, Marcus E, Guo, Xiuqing, Wang, Jie Jin, Auer, Paul L, Attia, John R, Yanek, Lisa R, Ahluwalia, Tarunveer S, Lahti, Jari, Venturini, Cristina, Tanaka, Toshiko, Bielak, Lawrence F, Joshi, Peter K, Rocanin-Arjo, Ares, Kolcic, Ivana, Navarro, Pau, Rose, Lynda M, Oldmeadow, Christopher, Riess, Helene, Mazur, Johanna, Basu, Saonli, Goel, Anuj, Yang, Qiong, Ghanbari, Mohsen, Willemsen, Gonneke, Rumley, Ann, Fiorillo, Edoardo, de Craen, Anton JM, Grotevendt, Anne, Scott, Robert, Taylor, Kent D, Delgado, Graciela E, Yao, Jie, Kifley, Annette, Kooperberg, Charles, Qayyum, Rehan, Lopez, Lorna M, Berentzen, Tina L, Räikkönen, Katri, Mangino, Massimo, Bandinelli, Stefania, Peyser, Patricia A, Wild, Sarah, Trégouët, David-Alexandre, Wright, Alan F, Marten, Jonathan, Zemunik, Tatijana, Morrison, Alanna C, Sennblad, Bengt, Tofler, Geoffrey, de Maat, Moniek PM, de Geus, Eco JC, Lowe, Gordon D, Zoledziewska, Magdalena, Sattar, Naveed, Binder, Harald, Völker, Uwe, Waldenberger, Melanie, Khaw, Kay-Tee, Mcknight, Barbara, Huang, Jie, Jenny, Nancy S, Holliday, Elizabeth G, Qi, Lihong, Mcevoy, Mark G, Becker, Diane M, Starr, John M, Sarin, Antti-Pekka, Hysi, Pirro G, Hernandez, Dena G, Jhun, Min A, Campbell, Harry, Hamsten, Anders, Rivadeneira, Fernando, Mcardle, Wendy L, Slagboom, P Eline, Zeller, Tanja, Koenig, Wolfgang, Psaty, Bruce M, Haritunians, Talin, Liu, Jingmin, Palotie, Aarno, Uitterlinden, André G, Stott, David J, Hofman, Albert, and Franco, Oscar H

Subjects
Biological Sciences, Genetics, Human Genome, Adult, Aged, Aged, 80 and over, Female, Fibrinogen, Genetic Loci, Genome-Wide Association Study, Humans, INDEL Mutation, Male, Middle Aged, Polymorphism, Single Nucleotide, White People, Medical and Health Sciences, Genetics & Heredity
Abstract

Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including ∼120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3% of the variance in plasma fibrinogen concentration.

Published
2016

4. Prenatal and early life influences on epigenetic age in children: a study of mother–offspring pairs from two cohort studies

Author

Simpkin, Andrew J, Hemani, Gibran, Suderman, Matthew, Gaunt, Tom R, Lyttleton, Oliver, Mcardle, Wendy L, Ring, Susan M, Sharp, Gemma C, Tilling, Kate, Horvath, Steve, Kunze, Sonja, Peters, Annette, Waldenberger, Melanie, Ward-Caviness, Cavin, Nohr, Ellen A, Sørensen, Thorkild IA, Relton, Caroline L, and Smith, George Davey

Subjects
Aging, Pediatric Research Initiative, Pediatric, Clinical Research, Genetics, Perinatal Period - Conditions Originating in Perinatal Period, Prevention, 2.2 Factors relating to the physical environment, Aetiology, Generic health relevance, Good Health and Well Being, Birth Weight, Child, Cohort Studies, DNA Methylation, Epigenesis, Genetic, Humans, Longitudinal Studies, Mothers, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

DNA methylation-based biomarkers of aging are highly correlated with actual age. Departures of methylation-estimated age from actual age can be used to define epigenetic measures of child development or age acceleration (AA) in adults. Very little is known about genetic or environmental determinants of these epigenetic measures of aging. We obtained DNA methylation profiles using Infinium HumanMethylation450 BeadChips across five time-points in 1018 mother-child pairs from the Avon Longitudinal Study of Parents and Children. Using the Horvath age estimation method, we calculated epigenetic age for these samples. AA was defined as the residuals from regressing epigenetic age on actual age. AA was tested for associations with cross-sectional clinical variables in children. We identified associations between AA and sex, birth weight, birth by caesarean section and several maternal characteristics in pregnancy, namely smoking, weight, BMI, selenium and cholesterol level. Offspring of non-drinkers had higher AA on average but this difference appeared to resolve during childhood. The associations between sex, birth weight and AA found in ARIES were replicated in an independent cohort (GOYA). In children, epigenetic AA measures are associated with several clinically relevant variables, and early life exposures appear to be associated with changes in AA during adolescence. Further research into epigenetic aging, including the use of causal inference methods, is required to better our understanding of aging.

Published
2016

5. Genome-wide association analysis identifies six new loci associated with forced vital capacity

Author

Loth, Daan W, Artigas, María Soler, Gharib, Sina A, Wain, Louise V, Franceschini, Nora, Koch, Beate, Pottinger, Tess D, Smith, Albert Vernon, Duan, Qing, Oldmeadow, Chris, Lee, Mi Kyeong, Strachan, David P, James, Alan L, Huffman, Jennifer E, Vitart, Veronique, Ramasamy, Adaikalavan, Wareham, Nicholas J, Kaprio, Jaakko, Wang, Xin-Qun, Trochet, Holly, Kähönen, Mika, Flexeder, Claudia, Albrecht, Eva, Lopez, Lorna M, de Jong, Kim, Thyagarajan, Bharat, Alves, Alexessander Couto, Enroth, Stefan, Omenaas, Ernst, Joshi, Peter K, Fall, Tove, Viñuela, Ana, Launer, Lenore J, Loehr, Laura R, Fornage, Myriam, Li, Guo, Wilk, Jemma B, Tang, Wenbo, Manichaikul, Ani, Lahousse, Lies, Harris, Tamara B, North, Kari E, Rudnicka, Alicja R, Hui, Jennie, Gu, Xiangjun, Lumley, Thomas, Wright, Alan F, Hastie, Nicholas D, Campbell, Susan, Kumar, Rajesh, Pin, Isabelle, Scott, Robert A, Pietiläinen, Kirsi H, Surakka, Ida, Liu, Yongmei, Holliday, Elizabeth G, Schulz, Holger, Heinrich, Joachim, Davies, Gail, Vonk, Judith M, Wojczynski, Mary, Pouta, Anneli, Johansson, Åsa, Wild, Sarah H, Ingelsson, Erik, Rivadeneira, Fernando, Völzke, Henry, Hysi, Pirro G, Eiriksdottir, Gudny, Morrison, Alanna C, Rotter, Jerome I, Gao, Wei, Postma, Dirkje S, White, Wendy B, Rich, Stephen S, Hofman, Albert, Aspelund, Thor, Couper, David, Smith, Lewis J, Psaty, Bruce M, Lohman, Kurt, Burchard, Esteban G, Uitterlinden, André G, Garcia, Melissa, Joubert, Bonnie R, McArdle, Wendy L, Musk, A Bill, Hansel, Nadia, Heckbert, Susan R, Zgaga, Lina, van Meurs, Joyce BJ, Navarro, Pau, Rudan, Igor, Oh, Yeon-Mok, Redline, Susan, Jarvis, Deborah L, Zhao, Jing Hua, Rantanen, Taina, O'Connor, George T, and Ripatti, Samuli

Subjects
Biological Sciences, Genetics, Human Genome, Rare Diseases, Lung, Cancer, Lung Cancer, Respiratory, Cohort Studies, Databases, Genetic, Follow-Up Studies, Forced Expiratory Volume, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Lung Diseases, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, Prognosis, Quantitative Trait Loci, Respiratory Function Tests, Spirometry, Vital Capacity, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 × 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.

Published
2014

6. Effects of Long-Term Averaging of Quantitative Blood Pressure Traits on the Detection of Genetic Associations

Author

Ganesh, Santhi K, Chasman, Daniel I, Larson, Martin G, Guo, Xiuqing, Verwoert, Germain, Bis, Joshua C, Gu, Xiangjun, Smith, Albert V, Yang, Min-Lee, Zhang, Yan, Ehret, Georg, Rose, Lynda M, Hwang, Shih-Jen, Papanicolau, George J, Sijbrands, Eric J, Rice, Kenneth, Eiriksdottir, Gudny, Pihur, Vasyl, Ridker, Paul M, Vasan, Ramachandran S, Newton-Cheh, Christopher, Consortium, Global Blood Pressure Genetics, Johnson, Toby, Gateva, Vesela, Tobin, Martin D, Bochud, Murielle, Coin, Lachlan, Najjar, Samer S, Zhao, Jing Hua, Heath, Simon C, Eyheramendy, Susana, Papadakis, Konstantinos, Voight, Benjamin F, Scott, Laura J, Zhang, Feng, Farrall, Martin, Tanaka, Toshiko, Wallace, Chris, Chambers, John C, Khaw, Kay-Tee, Nilsson, Peter, van der Harst, Pim, Polidoro, Silvia, Grobbee, Diederick E, Onland-Moret, N Charlotte, Bots, Michiel L, Wain, Louise V, Elliott, Katherine S, Teumer, Alexander, Luan, Jian’an, Lucas, Gavin, Kuusisto, Johanna, Burton, Paul R, Hadley, David, McArdle, Wendy L, Brown, Morris, Dominiczak, Anna, Newhouse, Stephen J, Samani, Nilesh J, Webster, John, Zeggini, Eleftheria, Beckmann, Jacques S, Bergmann, Sven, Lim, Noha, Song, Kijoung, Vollenweider, Peter, Waeber, Gerard, Waterworth, Dawn M, Yuan, Xin, Groop, Leif, Orho-Melander, Marju, Allione, Alessandra, Di Gregorio, Alessandra, Guarrera, Simonetta, Panico, Salvatore, Ricceri, Fulvio, Romanazzi, Valeria, Sacerdote, Carlotta, Vineis, Paolo, Barroso, Inês, Sandhu, Manjinder S, Luben, Robert N, Crawford, Gabriel J, Jousilahti, Pekka, Perola, Markus, Boehnke, Michael, Bonnycastle, Lori L, Collins, Francis S, Jackson, Anne U, Mohlke, Karen L, Stringham, Heather M, Valle, Timo T, Willer, Cristen J, Bergman, Richard N, Morken, Mario A, Döring, Angela, Gieger, Christian, Illig, Thomas, and Meitinger, Thomas

Subjects
Genetics, Human Genome, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Blood Pressure, Genome-Wide Association Study, Humans, Longitudinal Studies, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Global Blood Pressure Genetics Consortium, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Blood pressure (BP) is a heritable, quantitative trait with intraindividual variability and susceptibility to measurement error. Genetic studies of BP generally use single-visit measurements and thus cannot remove variability occurring over months or years. We leveraged the idea that averaging BP measured across time would improve phenotypic accuracy and thereby increase statistical power to detect genetic associations. We studied systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP) averaged over multiple years in 46,629 individuals of European ancestry. We identified 39 trait-variant associations across 19 independent loci (p < 5 × 10(-8)); five associations (in four loci) uniquely identified by our LTA analyses included those of SBP and MAP at 2p23 (rs1275988, near KCNK3), DBP at 2q11.2 (rs7599598, in FER1L5), and PP at 6p21 (rs10948071, near CRIP3) and 7p13 (rs2949837, near IGFBP3). Replication analyses conducted in cohorts with single-visit BP data showed positive replication of associations and a nominal association (p < 0.05). We estimated a 20% gain in statistical power with long-term average (LTA) as compared to single-visit BP association studies. Using LTA analysis, we identified genetic loci influencing BP. LTA might be one way of increasing the power of genetic associations for continuous traits in extant samples for other phenotypes that are measured serially over time.

Published
2014

7. Large-Scale Genome-Wide Association Studies and Meta-Analyses of Longitudinal Change in Adult Lung Function

Author

Tang, Wenbo, Kowgier, Matthew, Loth, Daan W, Soler Artigas, María, Joubert, Bonnie R, Hodge, Emily, Gharib, Sina A, Smith, Albert V, Ruczinski, Ingo, Gudnason, Vilmundur, Mathias, Rasika A, Harris, Tamara B, Hansel, Nadia N, Launer, Lenore J, Barnes, Kathleen C, Hansen, Joyanna G, Albrecht, Eva, Aldrich, Melinda C, Allerhand, Michael, Barr, R Graham, Brusselle, Guy G, Couper, David J, Curjuric, Ivan, Davies, Gail, Deary, Ian J, Dupuis, Josée, Fall, Tove, Foy, Millennia, Franceschini, Nora, Gao, Wei, Gläser, Sven, Gu, Xiangjun, Hancock, Dana B, Heinrich, Joachim, Hofman, Albert, Imboden, Medea, Ingelsson, Erik, James, Alan, Karrasch, Stefan, Koch, Beate, Kritchevsky, Stephen B, Kumar, Ashish, Lahousse, Lies, Li, Guo, Lind, Lars, Lindgren, Cecilia, Liu, Yongmei, Lohman, Kurt, Lumley, Thomas, McArdle, Wendy L, Meibohm, Bernd, Morris, Andrew P, Morrison, Alanna C, Musk, Bill, North, Kari E, Palmer, Lyle J, Probst-Hensch, Nicole M, Psaty, Bruce M, Rivadeneira, Fernando, Rotter, Jerome I, Schulz, Holger, Smith, Lewis J, Sood, Akshay, Starr, John M, Strachan, David P, Teumer, Alexander, Uitterlinden, André G, Völzke, Henry, Voorman, Arend, Wain, Louise V, Wells, Martin T, Wilk, Jemma B, Williams, O Dale, Heckbert, Susan R, Stricker, Bruno H, London, Stephanie J, Fornage, Myriam, Tobin, Martin D, O'Connor, George T, Hall, Ian P, and Cassano, Patricia A

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Chronic Obstructive Pulmonary Disease, Human Genome, Lung, Clinical Research, Prevention, Respiratory, Adult, Chromosomes, Human, Pair 11, Female, Gene Expression Regulation, Genetic Loci, Genome-Wide Association Study, Humans, Longitudinal Studies, Male, Respiration, General Science & Technology
Abstract

BackgroundGenome-wide association studies (GWAS) have identified numerous loci influencing cross-sectional lung function, but less is known about genes influencing longitudinal change in lung function.MethodsWe performed GWAS of the rate of change in forced expiratory volume in the first second (FEV1) in 14 longitudinal, population-based cohort studies comprising 27,249 adults of European ancestry using linear mixed effects model and combined cohort-specific results using fixed effect meta-analysis to identify novel genetic loci associated with longitudinal change in lung function. Gene expression analyses were subsequently performed for identified genetic loci. As a secondary aim, we estimated the mean rate of decline in FEV1 by smoking pattern, irrespective of genotypes, across these 14 studies using meta-analysis.ResultsThe overall meta-analysis produced suggestive evidence for association at the novel IL16/STARD5/TMC3 locus on chromosome 15 (P  =  5.71 × 10(-7)). In addition, meta-analysis using the five cohorts with ≥3 FEV1 measurements per participant identified the novel ME3 locus on chromosome 11 (P  =  2.18 × 10(-8)) at genome-wide significance. Neither locus was associated with FEV1 decline in two additional cohort studies. We confirmed gene expression of IL16, STARD5, and ME3 in multiple lung tissues. Publicly available microarray data confirmed differential expression of all three genes in lung samples from COPD patients compared with controls. Irrespective of genotypes, the combined estimate for FEV1 decline was 26.9, 29.2 and 35.7 mL/year in never, former, and persistent smokers, respectively.ConclusionsIn this large-scale GWAS, we identified two novel genetic loci in association with the rate of change in FEV1 that harbor candidate genes with biologically plausible functional links to lung function.

Published
2014

8. Association Between Variants of PRDM1 and NDP52 and Crohn's Disease, Based on Exome Sequencing and Functional Studies

Author

Ellinghaus, David, Zhang, Hu, Zeissig, Sebastian, Lipinski, Simone, Till, Andreas, Jiang, Tao, Stade, Björn, Bromberg, Yana, Ellinghaus, Eva, Keller, Andreas, Rivas, Manuel A, Skieceviciene, Jurgita, Doncheva, Nadezhda T, Liu, Xiao, Liu, Qing, Jiang, Fuman, Forster, Michael, Mayr, Gabriele, Albrecht, Mario, Häsler, Robert, Boehm, Bernhard O, Goodall, Jane, Berzuini, Carlo R, Lee, James, Andersen, Vibeke, Vogel, Ulla, Kupcinskas, Limas, Kayser, Manfred, Krawczak, Michael, Nikolaus, Susanna, Weersma, Rinse K, Ponsioen, Cyriel Y, Sans, Miquel, Wijmenga, Cisca, Strachan, David P, McArdle, Wendy L, Vermeire, Séverine, Rutgeerts, Paul, Sanderson, Jeremy D, Mathew, Christopher G, Vatn, Morten H, Wang, Jun, Nöthen, Markus M, Duerr, Richard H, Büning, Carsten, Brand, Stephan, Glas, Jürgen, Winkelmann, Juliane, Illig, Thomas, Latiano, Anna, Annese, Vito, Halfvarson, Jonas, D'Amato, Mauro, Daly, Mark J, Nothnagel, Michael, Karlsen, Tom H, Subramani, Suresh, Rosenstiel, Philip, Schreiber, Stefan, Parkes, Miles, and Franke, Andre

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Nutrition and Dietetics, Biotechnology, Genetics, Inflammatory Bowel Disease, Autoimmune Disease, Human Genome, Clinical Research, Digestive Diseases, Crohn's Disease, Aetiology, 2.1 Biological and endogenous factors, Oral and gastrointestinal, Inflammatory and immune system, Adolescent, Adult, Case-Control Studies, Colitis, Ulcerative, Crohn Disease, Exome, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Mutation, Missense, Nuclear Proteins, Polymorphism, Single Nucleotide, Positive Regulatory Domain I-Binding Factor 1, Quantitative Trait Loci, Repressor Proteins, Young Adult, Whole-Exome Sequencing, Complex Disease, CD, Crohn’s disease, GWAS, IBD, IFN, NF-κB, PBL, PBMC, SNP, SNV, TLR, Toll-like receptor, UC, WT, eQTL, expression quantitative trait locus, genome-wide association studies, inflammatory bowel disease, interferon, nuclear factor κB, peripheral blood lymphocyte, peripheral blood mononuclear cell, qRT-PCR, quantitative reverse-transcription polymerase chain reaction, single nucleotide polymorphism, single nucleotide variant, ulcerative colitis, wild-type, Neurosciences, Paediatrics and Reproductive Medicine, Gastroenterology & Hepatology, Clinical sciences, Nutrition and dietetics
Abstract

Background & aimsGenome-wide association studies (GWAS) have identified 140 Crohn's disease (CD) susceptibility loci. For most loci, the variants that cause disease are not known and the genes affected by these variants have not been identified. We aimed to identify variants that cause CD through detailed sequencing, genetic association, expression, and functional studies.MethodsWe sequenced whole exomes of 42 unrelated subjects with CD and 5 healthy subjects (controls) and then filtered single nucleotide variants by incorporating association results from meta-analyses of CD GWAS and in silico mutation effect prediction algorithms. We then genotyped 9348 subjects with CD, 2868 subjects with ulcerative colitis, and 14,567 control subjects and associated variants analyzed in functional studies using materials from subjects and controls and in vitro model systems.ResultsWe identified rare missense mutations in PR domain-containing 1 (PRDM1) and associated these with CD. These mutations increased proliferation of T cells and secretion of cytokines on activation and increased expression of the adhesion molecule L-selectin. A common CD risk allele, identified in GWAS, correlated with reduced expression of PRDM1 in ileal biopsy specimens and peripheral blood mononuclear cells (combined P = 1.6 × 10(-8)). We identified an association between CD and a common missense variant, Val248Ala, in nuclear domain 10 protein 52 (NDP52) (P = 4.83 × 10(-9)). We found that this variant impairs the regulatory functions of NDP52 to inhibit nuclear factor κB activation of genes that regulate inflammation and affect the stability of proteins in Toll-like receptor pathways.ConclusionsWe have extended the results of GWAS and provide evidence that variants in PRDM1 and NDP52 determine susceptibility to CD. PRDM1 maps adjacent to a CD interval identified in GWAS and encodes a transcription factor expressed by T and B cells. NDP52 is an adaptor protein that functions in selective autophagy of intracellular bacteria and signaling molecules, supporting the role of autophagy in the pathogenesis of CD.

Published
2013

9. Genome-wide association study identifies eight loci associated with blood pressure

Author

Newton-Cheh, Christopher, Johnson, Toby, Gateva, Vesela, Tobin, Martin D, Bochud, Murielle, Coin, Lachlan, Najjar, Samer S, Zhao, Jing Hua, Heath, Simon C, Eyheramendy, Susana, Papadakis, Konstantinos, Voight, Benjamin F, Scott, Laura J, Zhang, Feng, Farrall, Martin, Tanaka, Toshiko, Wallace, Chris, Chambers, John C, Khaw, Kay-Tee, Nilsson, Peter, van der Harst, Pim, Polidoro, Silvia, Grobbee, Diederick E, Onland-Moret, N Charlotte, Bots, Michiel L, Wain, Louise V, Elliott, Katherine S, Teumer, Alexander, Luan, Jian'an, Lucas, Gavin, Kuusisto, Johanna, Burton, Paul R, Hadley, David, McArdle, Wendy L, Brown, Morris, Dominiczak, Anna, Newhouse, Stephen J, Samani, Nilesh J, Webster, John, Zeggini, Eleftheria, Beckmann, Jacques S, Bergmann, Sven, Lim, Noha, Song, Kijoung, Vollenweider, Peter, Waeber, Gerard, Waterworth, Dawn M, Yuan, Xin, Groop, Leif, Orho-Melander, Marju, Allione, Alessandra, Di Gregorio, Alessandra, Guarrera, Simonetta, Panico, Salvatore, Ricceri, Fulvio, Romanazzi, Valeria, Sacerdote, Carlotta, Vineis, Paolo, Barroso, Inês, Sandhu, Manjinder S, Luben, Robert N, Crawford, Gabriel J, Jousilahti, Pekka, Perola, Markus, Boehnke, Michael, Bonnycastle, Lori L, Collins, Francis S, Jackson, Anne U, Mohlke, Karen L, Stringham, Heather M, Valle, Timo T, Willer, Cristen J, Bergman, Richard N, Morken, Mario A, Döring, Angela, Gieger, Christian, Illig, Thomas, Meitinger, Thomas, Org, Elin, Pfeufer, Arne, Wichmann, H Erich, Kathiresan, Sekar, Marrugat, Jaume, O'Donnell, Christopher J, Schwartz, Stephen M, Siscovick, David S, Subirana, Isaac, Freimer, Nelson B, Hartikainen, Anna-Liisa, McCarthy, Mark I, O'Reilly, Paul F, Peltonen, Leena, Pouta, Anneli, de Jong, Paul E, Snieder, Harold, van Gilst, Wiek H, Clarke, Robert, Goel, Anuj, Hamsten, Anders, and Peden, John F

Subjects
Biological Sciences, Genetics, Hypertension, Cardiovascular, Prevention, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Adaptor Proteins, Signal Transducing, Blood Pressure, Cardiovascular Diseases, Chromosome Mapping, Cytochrome P-450 CYP1A2, DNA-Binding Proteins, Diastole, Europe, Fibroblast Growth Factor 5, Genetic Variation, Genome-Wide Association Study, Humans, India, Intracellular Signaling Peptides and Proteins, Methylenetetrahydrofolate Reductase (NADPH2), Open Reading Frames, Phospholipase C delta, Polymorphism, Single Nucleotide, Proteins, Steroid 17-alpha-Hydroxylase, Systole, White People, Wellcome Trust Case Control Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Elevated blood pressure is a common, heritable cause of cardiovascular disease worldwide. To date, identification of common genetic variants influencing blood pressure has proven challenging. We tested 2.5 million genotyped and imputed SNPs for association with systolic and diastolic blood pressure in 34,433 subjects of European ancestry from the Global BPgen consortium and followed up findings with direct genotyping (N ≤ 71,225 European ancestry, N ≤ 12,889 Indian Asian ancestry) and in silico comparison (CHARGE consortium, N = 29,136). We identified association between systolic or diastolic blood pressure and common variants in eight regions near the CYP17A1 (P = 7 × 10(-24)), CYP1A2 (P = 1 × 10(-23)), FGF5 (P = 1 × 10(-21)), SH2B3 (P = 3 × 10(-18)), MTHFR (P = 2 × 10(-13)), c10orf107 (P = 1 × 10(-9)), ZNF652 (P = 5 × 10(-9)) and PLCD3 (P = 1 × 10(-8)) genes. All variants associated with continuous blood pressure were associated with dichotomous hypertension. These associations between common variants and blood pressure and hypertension offer mechanistic insights into the regulation of blood pressure and may point to novel targets for interventions to prevent cardiovascular disease.

Published
2009

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