Using genome-wide complex trait analysis to quantify 'missing heritability' in Parkinson's disease

Autor: Keller, Margaux F, Saad, Mohamad, Schulte, Claudia, Limousin, Patricia, Lopez, Grisel, Lorenz, Delia, McNeill, Alisdair, Moorby, Catriona, Moore, Matthew, Morris, Huw R, Morrison, Karen E, Mudanohwo, Ese, O'Sullivan, Sean S, Moskvina, Valentina, Pearson, Justin, Perlmutter, Joel S, Pétursson, Hjörvar, Pollak, Pierre, Post, Bart, Potter, Simon, Ravina, Bernard, Revesz, Tamas, Riess, Olaf, Rivadeneira, Fernando, Durr, Alexandra, Rizzu, Patrizia, Ryten, Mina, Sawcer, Stephen, Schapira, Anthony, Scheffer, Hans, Shaw, Karen, Shoulson, Ira, Sidransky, Ellen, Smith, Colin, Spencer, Chris C A, Holmans, Peter, Stefánsson, Hreinn, Steinberg, Stacy, Stockton, Joanna D, Strange, Amy, Talbot, Kevin, Tanner, Carlie M, Tashakkori-Ghanbaria, Avazeh, Tison, François, Trabzuni, Daniah, Traynor, Bryan J, Kilarski, Laura L, Uitterlinden, André G, Velseboer, Daan, Vidailhet, Marie, Walker, Robert, van de Warrenburg, Bart, Wickremaratchi, Mirdhu, Williams, Nigel, Williams-Gray, Caroline H, Winder-Rhodes, Sophie, Stefánsson, Kári, Guerreiro, Rita, Martinez, Maria, Sabatier, Paul, Hardy, John, Brice, Alexis, Singleton, Andrew B, Wood, Nicholas W, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Bramon, Elvira, Hernandez, Dena G, Brown, Matthew A, Casas, Juan P, Corvin, Aiden, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Ylikotila, Pauli, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Bras, Jose, Majamaa, Kari, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Waller, Matthew, Weston, Paul, Widaa, Sara, Whittaker, Pamela, Gasser, Thomas, Heutink, Peter, Nalls, Michael A, Bettella, Francesco, Consortium, International Parkinson's Disease Genomics, 2, Wellcome Trust Case Control Consortium, Plagnol, Vincent, Sheerin, Una-Marie, Simón-Sánchez, Javier, Lesage, Suzanne, Sveinbjörnsdóttir, Sigurlaug, Nicolaou, Nayia, Arepalli, Sampath, Ben-Shlomo, Yoav, Berendse, Henk W, Berg, Daniela, Bhatia, Kailash, de Bie, Rob M A, Biffi, Alessandro, Bloem, Bas, Bochdanovits, Zoltan, Bonin, Michael, Brockmann, Kathrin, Brooks, Janet, Burn, David J, Charlesworth, Gavin, Chen, Honglei, Chinnery, Patrick F, Chong, Sean, Clarke, Carl E, Cookson, Mark R, Mittag, Florian, Cooper, J Mark, Corvol, Jean Christophe, Counsell, Carl, Damier, Philippe, Dartigues, Jean-François, Segalen, Victor, Deuschl, Günther, Dexter, David T, van Dijk, Karin D, Büchel, Finja, Dillman, Allissa, Durif, Frank, Montpied, Gabriel, Evans, Jonathan R, Foltynie, Thomas, Gao, Jianjun, Gardner, Michelle, Gibbs, J Raphael, Goate, Alison, Sharma, Manu, Gústafsson, Omar, Harris, Clare, van Hilten, Jacobus J, Hofman, Albert, Hollenbeck, Albert, Holton, Janice, Hu, Michele, Huang, Xuemei, Huber, Heiko, Hudson, Gavin, Huttenlocher, Johanna, Illig, Thomas, Jónsson, Pálmi V, Lambert, Jean-Charles, Lees, Andrew, Lichtner, Peter
Přispěvatelé: ANS - Amsterdam Neuroscience, Neurology, ACS - Amsterdam Cardiovascular Sciences, Graduate School, Human genetics, NCA - Neurodegeneration
Rok vydání: 2012
Předmět:
Adult
Male
medicine.medical_specialty
Multifactorial Inheritance
Parkinson's disease
Functional Neurogenomics Human Movement & Fatigue [DCN 2]
Single-nucleotide polymorphism
Genome-wide association study
Quantitative trait locus
Biology
Genome
White People
03 medical and health sciences
Quantitative Trait
Heritable

0302 clinical medicine
genetics [Parkinson Disease]
Missing heritability problem
Molecular genetics
ddc:570
medicine
Genetics
Humans
Genetic Predisposition to Disease
Molecular Biology
Genetics (clinical)
Aged
030304 developmental biology
Genetic association
Aged
80 and over

0303 health sciences
Association Studies Articles
Genetic Variation
Family aggregation
Parkinson Disease
General Medicine
Middle Aged
Heritability
medicine.disease
Corrigenda
3. Good health
genetics [European Continental Ancestry Group]
Human Movement & Fatigue [DCN MP - Plasticity and memory NCEBP 10]
Female
Trait analysis
030217 neurology & neurosurgery
Imputation (genetics)
Genome-Wide Association Study
Zdroj: Human Molecular Genetics, 21, 22, pp. 4996-5009
Keller, M F, Saad, M, Bras, J, Bettella, F, Nicolaou, N, Simon-Sanchez, J, Mittag, F, Buchel, F, Sharma, M, Gibbs, J R, Schulte, C, Moskvina, V, Durr, A, Holmans, P, Kilarski, L L, Guerreiro, R, Hernandez, D G, Brice, A, Ylikotila, P, Stefansson, H, Majamaa, K, Morris, H R, Williams, N, Gasser, T, Heutink, P, Wood, N W, Hardy, J, Martinez, M, Singleton, A B & Nalls, M A 2012, ' Using genome-wide complex trait analysis to quantify 'missing heritability' in Parkinson's disease ', Human Molecular Genetics, vol. 21, no. 22, pp. 4996-5009 . https://doi.org/10.1093/hmg/dds335
Human molecular genetics, 21(22), 4996-5009. Oxford University Press
Human molecular genetics 21(22), 4996-5009 (2012). doi:10.1093/hmg/dds335
Human Molecular Genetics, 21(22), 4996-5009. Oxford University Press
Human Molecular Genetics, 21, 4996-5009
ISSN: 0964-6906
DOI: 10.1093/hmg/dds335
Popis: Contains fulltext : 110130.pdf (Publisher’s version ) (Closed access) Genome-wide association studies (GWASs) have been successful at identifying single-nucleotide polymorphisms (SNPs) highly associated with common traits; however, a great deal of the heritable variation associated with common traits remains unaccounted for within the genome. Genome-wide complex trait analysis (GCTA) is a statistical method that applies a linear mixed model to estimate phenotypic variance of complex traits explained by genome-wide SNPs, including those not associated with the trait in a GWAS. We applied GCTA to 8 cohorts containing 7096 case and 19 455 control individuals of European ancestry in order to examine the missing heritability present in Parkinson's disease (PD). We meta-analyzed our initial results to produce robust heritability estimates for PD types across cohorts. Our results identify 27% (95% CI 17-38, P = 8.08E - 08) phenotypic variance associated with all types of PD, 15% (95% CI -0.2 to 33, P = 0.09) phenotypic variance associated with early-onset PD and 31% (95% CI 17-44, P = 1.34E - 05) phenotypic variance associated with late-onset PD. This is a substantial increase from the genetic variance identified by top GWAS hits alone (between 3 and 5%) and indicates there are substantially more risk loci to be identified. Our results suggest that although GWASs are a useful tool in identifying the most common variants associated with complex disease, a great deal of common variants of small effect remain to be discovered.
Databáze: OpenAIRE