Results 1 to 10 of about 2,429,135 (273)

Bayesian methods for genetic association analysis with heterogeneous subgroups: From meta-analyses to gene-environment interactions

, 2014
Genetic association analyses often involve data from multiple potentially-heterogeneous subgroups. The expected amount of heterogeneity can vary from modest (e.g., a typical meta-analysis) to large (e.g., a strong gene--environment interaction). However,
Stephens, Matthew, Wen, Xiaoquan
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Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models. [PDF]

, 2016
Although genome-wide association studies (GWASs) have discovered numerous novel genetic variants associated with many complex traits and diseases, those genetic variants typically explain only a small fraction of phenotypic variance. Factors that account
Bilow, Michael, Eskin, Eleazar, Furlotte, Nick, He, Dan, Kostem, Emrah, Sul, Jae Hoon, Yang, Wen-Yun   +6 more
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Population Stratification in Genetic Association Studies [PDF]

Current Protocols in Human Genetics, 2017
AbstractPopulation stratification (PS) is a primary consideration in studies of genetic determinants of human traits. Failure to control for PS may lead to confounding, causing a study to fail for lack of significant results, or resources to be wasted following false‐positive signals.
Jacklyn N, Hellwege, Jacob M, Keaton, Ayush, Giri, Xiaoyi, Gao, Digna R, Velez Edwards, Todd L, Edwards   +5 more
openaire   +2 more sources

Polymorphisms at 1q32, 8q24, and 17q22 loci are associated with nonsyndromic cleft lip with or without cleft palate risk in the Slovak population

Biomedical Papers, 2017
Background: Nonsyndromic cleft lip with or without cleft palate (nsCL/P) is the most common orofacial birth defect with an aetiology involving both genetic and environmental factors.
Jan Salagovic, Lucia Klimcakova, Marianna Zabavnikova, Jana Behunova, Terezia Hudakova, Jozef Fedeles, Agata Molnarova, Ludmila Podracka   +7 more
doaj   +1 more source

Fractal Characterizations of MAX Statistical Distribution in Genetic Association Studies

, 2009
Two non-integer parameters are defined for MAX statistics, which are maxima of $d$ simpler test statistics. The first parameter, $d_{MAX}$, is the fractional number of tests, representing the equivalent numbers of independent tests in MAX.
Azzalini A., Heisenberg W., Mao J., Press W. H., Sham P., Sokal R. K., Thomas D. C., Weir B. S.   +7 more
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Modeling and Testing for Joint Association Using a Genetic Random Field Model [PDF]

, 2014
Substantial progress has been made in identifying single genetic variants predisposing to common complex diseases. Nonetheless, the genetic etiology of human diseases remains largely unknown.
Adler, Ballard, Besag, Besag, Browning, Burridge, Chatterjee, Cliff, Cressie, Davies, De Iorio, Gauderman, Gotze, Laird, Manolio, Molitor, Molitor, Price, Ritchie, Romeo, Rotar, Thomas, Tzeng, Wu, Wu   +24 more
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Phenome-wide association analysis of LDL-cholesterol lowering genetic variants in PCSK9

BMC Cardiovascular Disorders, 2019
Background We characterised the phenotypic consequence of genetic variation at the PCSK9 locus and compared findings with recent trials of pharmacological inhibitors of PCSK9. Methods Published and individual participant level data (300,000+ participants)
Amand F. Schmidt, Michael V. Holmes, David Preiss, Daniel I. Swerdlow, Spiros Denaxas, Ghazaleh Fatemifar, Rupert Faraway, Chris Finan, Dennis Valentine, Zammy Fairhurst-Hunter, Fernando Pires Hartwig, Bernardo Lessa Horta, Elina Hypponen, Christine Power, Max Moldovan, Erik van Iperen, Kees Hovingh, Ilja Demuth, Kristina Norman, Elisabeth Steinhagen-Thiessen, Juri Demuth, Lars Bertram, Christina M. Lill, Stefan Coassin, Johann Willeit, Stefan Kiechl, Karin Willeit, Dan Mason, John Wright, Richard Morris, Goya Wanamethee, Peter Whincup, Yoav Ben-Shlomo, Stela McLachlan, Jackie F. Price, Mika Kivimaki, Catherine Welch, Adelaida Sanchez-Galvez, Pedro Marques-Vidal, Andrew Nicolaides, Andrie G. Panayiotou, N. Charlotte Onland-Moret, Yvonne T. van der Schouw, Giuseppe Matullo, Giovanni Fiorito, Simonetta Guarrera, Carlotta Sacerdote, Nicholas J. Wareham, Claudia Langenberg, Robert A. Scott, Jian’an Luan, Martin Bobak, Sofia Malyutina, Andrzej Pająk, Ruzena Kubinova, Abdonas Tamosiunas, Hynek Pikhart, Niels Grarup, Oluf Pedersen, Torben Hansen, Allan Linneberg, Tine Jess, Jackie Cooper, Steve E. Humphries, Murray Brilliant, Terrie Kitchner, Hakon Hakonarson, David S. Carrell, Catherine A. McCarty, Kirchner H. Lester, Eric B. Larson, David R. Crosslin, Mariza de Andrade, Dan M. Roden, Joshua C. Denny, Cara Carty, Stephen Hancock, John Attia, Elizabeth Holliday, Rodney Scott, Peter Schofield, Martin O’Donnell, Salim Yusuf, Michael Chong, Guillaume Pare, Pim van der Harst, M. Abdullah Said, Ruben N. Eppinga, Niek Verweij, Harold Snieder, Lifelines Cohort authors, Tim Christen, D. O. Mook-Kanamori, the ICBP Consortium, Stefan Gustafsson, Lars Lind, Erik Ingelsson, Raha Pazoki, Oscar Franco, Albert Hofman, Andre Uitterlinden, Abbas Dehghan, Alexander Teumer, Sebastian Baumeister, Marcus Dörr, Markus M. Lerch, Uwe Völker, Henry Völzke, Joey Ward, Jill P. Pell, Tom Meade, Ingrid E. Christophersen, Anke H. Maitland-van der Zee, Ekaterina V. Baranova, Robin Young, Ian Ford, Archie Campbell, Sandosh Padmanabhan, Michiel L. Bots, Diederick E. Grobbee, Philippe Froguel, Dorothée Thuillier, Ronan Roussel, Amélie Bonnefond, Bertrand Cariou, Melissa Smart, Yanchun Bao, Meena Kumari, Anubha Mahajan, Jemma C. Hopewell, Sudha Seshadri, the METASTROKE Consortium of the ISGC, Caroline Dale, Rui Providencia E. Costa, Paul M. Ridker, Daniel I. Chasman, Alex P. Reiner, Marylyn D. Ritchie, Leslie A. Lange, Alex J. Cornish, Sara E. Dobbins, Kari Hemminki, Ben Kinnersley, Marc Sanson, Karim Labreche, Matthias Simon, Melissa Bondy, Philip Law, Helen Speedy, James Allan, Ni Li, Molly Went, Niels Weinhold, Gareth Morgan, Pieter Sonneveld, Björn Nilsson, Hartmut Goldschmidt, Amit Sud, Andreas Engert, Markus Hansson, Harry Hemingway, Folkert W. Asselbergs, Riyaz S. Patel, Brendan J. Keating, Naveed Sattar, Richard Houlston, Juan P. Casas, Aroon D. Hingorani   +167 more
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Sample Size and Statistical Power Calculation in Genetic Association Studies [PDF]

Genomics & Informatics, 2012
A sample size with sufficient statistical power is critical to the success of genetic association studies to detect causal genes of human complex diseases.
Eun Pyo Hong, Ji Wan Park
doaj   +1 more source

A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease [PDF]

, 2015
Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association studies (GWAS) analysis of common SNPs.
Alver, Maris, Anand, Sonia S., Ardissino, Diego, Armasu, Sebastian M., Assimes, Themistocles L., Auro, Kirsi, Bertram, Lars, Beutner, Frank, Bjonnes, Andrew, Boerwinkle, Eric, Borecki, Ingrid B., Bottinger, Erwin P., Buring, Julie E., Chambers, John C., Chasman, Daniel I., Chen, Shufeng, Clarke, Robert, Collins, Rory, Cupples, L. Adrienne, Danesh, John, de Andrade, Mariza, de Vries, Paul S., Dedoussis, George, Dehghan, Abbas, Deloukas, Panos, Demuth, Ilja, Elosua, Roberto, Epstein, Stephen E., Erdmann, Jeanette, Esko, Tonu, Farrall, Martin, Feitosa, Mary F., Ford, Ian, Franceschini, Nora, Franco, Oscar H., Franzosi, Maria Grazia, Frossard, Philippe, Gauguier, Dominique, Gieger, Christian, Goel, Anuj, Goodall, Alison H., Gottesman, Omri, Grace, Christopher, Granger, Christopher B., Gu, Dongfeng, Gudnason, Vilmundur, Gustafsson, Stefan, Haber, Marc, Hall, Alistair S., Hall, Leanne M., Hamsten, Anders, Han, Bok-Ghee, Harris, Tamara B., Hazen, Stanley L., Hengstenberg, Christian, Hofman, Albert, Hopewell, Jemma C., Huang, Jianfeng, Huang, Jie, Hwang, Shih-Jen, Ingelsson, Erik, Iribarren, Carlos, Jalilzadeh, Shapour, Jukema, J. Wouter, Kanoni, Stavroula, Karhunen, Pekka J., Kathiresan, Sekar, Kessler, Thorsten, Kim, Bong-Jo, Kim, Yun Kyoung, Kleber, Marcus E., Koenig, Inke R., Kooner, Jaspal S., Kullo, Iftikhar J., Kyriakou, Theodosios, Lannfelt, Lars, Lau, King Wai, Lehtimaki, Terho, Lieb, Wolfgang, Lind, Lars, Lindgren, Cecilia M., Lokki, Marja-Liisa, Loos, Ruth J. F., Lu, Xiangfeng, Lu, Yingchang, Lund University., Lund University., Lund University., Lyytikainen, Leo-Pekka, Maerz, Winfried, Magnusson, Patrik K., Mallick, Nadeem H., McPherson, Ruth, Mehra, Narinder, Meitinger, Thomas, Melander, Olle,, Memon, Fazal-ur-Rehman, Metspalu, Andres, Mihailov, Evelin, Morris, Andrew P., Morrison, Alanna C., Nelson, Christopher P., Nieminen, Markku S., Nikpay, Majid, O'Donnell, Christopher J., Palmer, Colin N., Pedersen, Nancy L., Perola, Markus, Pervjakova, Natalia, Peters, Annette, Qu, Liming, Quertermous, Thomas, Rader, Daniel J., Rallidis, Loukianos S., Rasheed, Asif, Reilly, Muredach P., Ridker, Paul M., Ripatti, Samuli, Roberts, Robert, Rose, Lynda M., Saleheen, Danish, Salfati, Elias, Salomaa, Veikko, Samani, Nilesh J., Samuel, Maria, Sanghera, Dharambir K., Saxena, Richa, Scholz, Markus, Schunkert, Heribert, Schwartz, Stephen M., Seedorf, Udo, Shah, Svati H., Sinisalo, Juha, Smith, Albert V., Stewart, Alexandre F., Stirrups, Kathleen E., Stott, David J., Thiery, Joachim, Thompson, John R., Tikkanen, Emmi, Trompet, Stella, Uitterlinden, Andre, van Zuydam, Natalie R., Wang, Laiyuan, Watkins, Hugh, Webb, Thomas R., Willenborg, Christina, Won, Hong-Hee, Yang, Xueli, Zalloua, Pierre A., Zaman, Khan S., Zeng, Lingyao, Zhang, Weihua, Zhao, Wei   +153 more
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A variance components factor model for genetic association studies: a Bayesian analysis.

, 2010
Studies of gene-trait associations for complex diseases often involve multiple traits that may vary by genotype groups or patterns. Such traits are usually manifestations of lower-dimensional latent factors or disease syndromes.
Nonyane, BAS, Whittaker, JC
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