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Hum Mol Genet. 2012 Nov 15;21(22):4996-5009. doi: 10.1093/hmg/dds335. Epub 2012 Aug 13.

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

Collaborators (183)

Keller MF, Nalls MA, Plagnol V, Hernandez DG, Sharma M, Sheerin UM, Saad M, Simón-Sánchez J, Schulte C, Lesage S, Sveinbjörnsdóttir S, Arepalli S, Ben-Shlomo Y, Berendse HW, Berg D, Bhatia K, de Bie RM, Biffi A, Bloem B, Bochdanovits Z, Bonin M, Bras J, Brockmann K, Brooks J, Burn DJ, Charlesworth G, Chen H, Chinnery PF, Chong S, Clarke CE, Cookson MR, Cooper J, Corvol JC, Counsell C, Damier P, Dartigues JF, Segalen V, Deloukas P, Deuschl G, Dexter DT, van Dijk KD, Dillman A, Durif F, Montpied G, Dürr A, Edkins S, Evans JR, Foltynie T, Gao J, Gardner M, Gibbs J, Goate A, Gray E, Guerreiro R, Gústafsson O, Harris C, van Hilten JJ, Hofman A, Hollenbeck A, Holton J, Hu M, Huang X, Huber H, Hudson G, Hunt SE, Huttenlocher J, Illig T, Jónsson PV, Lambert JC, Langford C, Lees A, Lichtner P, Limousin P, Lopez G, Lorenz D, McNeill A, Moorby C, Moore M, Morris HR, Morrison KE, Mudanohwo E, O'Sullivan SS, Pearson J, Perlmutter JS, Pétursson H, Pollak P, Post B, Potter S, Ravina B, Revesz T, Riess O, Rivadeneira F, Rizzu P, Ryten M, Sawcer S, Schapira A, Scheffer H, Shaw K, Shoulson I, Sidransky E, Smith C, Spencer CC, Stefánsson H, Steinberg S, Stockton JD, Strange A, Talbot K, Tanner CM, Tashakkori-Ghanbaria A, Tison F, Trabzuni D, Traynor BJ, Uitterlinden AG, Velseboer D, Vidailhet M, Walker R, van de Warrenburg B, Wickremaratchi M, Williams N, Williams-Gray CH, Winder-Rhodes S, Stefánsson K, Martinez M, Sabatier P, Hardy J, Heutink P, Brice A, Gasser T, Singleton AB, Wood NW, Donnelly P, Barroso I, Blackwell JM, Bramon E, Brown MA, Casas JP, Corvin A, Deloukas P, Duncanson A, Jankowski J, Markus HS, Mathew CG, Palmer CN, Plomin R, Rautanen A, Sawcer SJ, Trembath RC, Viswanathan AC, Wood NW, Spencer CC, Band G, Bellenguez C, Freeman C, Hellenthal G, Giannoulatou E, Pirinen M, Pearson R, Strange A, Su Z, Vukcevic D, Donnelly P, Langford C, Hunt SE, Edkins S, Gwilliam R, Blackburn H, Bumpstead SJ, Dronov S, Gillman M, Gray E, Hammond N, Jayakumar A, McCann OT, Liddle J, Potter SC, Ravindrarajah R, Ricketts M, Waller M, Weston P, Widaa S, Whittaker P, Barroso I, Deloukas P.

Erratum in

  • Hum Mol Genet. 2013 Jul 15;22(14):2973.
  • Hum Mol Genet. 2013 Apr 15;22(8):1696.

Abstract

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.

PMID:
22892372
[PubMed - indexed for MEDLINE]
PMCID:
PMC3576713
Free PMC Article

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