Mixed model with correction for case-control ascertainment increases association power.

[1]  D. Falconer.  The inheritance of liability to diseases with variable age of onset, with particular reference to diabetes mellitus , 1967, Annals of human genetics.

[2]  R. Elston,et al.  The investigation of linkage between a quantitative trait and a marker locus , 1972, Behavior genetics.

[3]  C. Heyde.  Quasi-likelihood and its application : a general approach to optimal parameter estimation , 1998 .

[4]  K. Roeder,et al.  Genomic Control for Association Studies , 1999, Biometrics.

[5]  D. Reich,et al.  Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.

[6]  M. McMullen,et al.  A unified mixed-model method for association mapping that accounts for multiple levels of relatedness , 2006, Nature Genetics.

[7]  Keyan Zhao,et al.  An Arabidopsis Example of Association Mapping in Structured Samples , 2006, PLoS genetics.

[8]  T. Thornton,et al.  Case-control association testing with related individuals: a more powerful quasi-likelihood score test. , 2007, American journal of human genetics.

[9]  W. G. Hill,et al.  Heritability in the genomics era — concepts and misconceptions , 2008, Nature Reviews Genetics.

[10]  D. Heckerman,et al.  Efficient Control of Population Structure in Model Organism Association Mapping , 2008, Genetics.

[11]  R. Plomin,et al.  Common disorders are quantitative traits , 2009, Nature Reviews Genetics.

[12]  H. Kang,et al.  Variance component model to account for sample structure in genome-wide association studies , 2010, Nature Genetics.

[13]  P. Visscher,et al.  Common SNPs explain a large proportion of heritability for human height , 2011 .

[14]  Sabine Landau,et al.  Software for generating liability distributions for pedigrees conditional on their observed disease states and covariates , 2010, Genetic epidemiology.

[15]  Simon C. Potter,et al.  Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis , 2011, Nature.

[16]  P. Visscher,et al.  GCTA: a tool for genome-wide complex trait analysis. , 2011, American journal of human genetics.

[17]  P. Visscher,et al.  Estimating missing heritability for disease from genome-wide association studies. , 2011, American journal of human genetics.

[18]  Mark I McCarthy,et al.  Genomic inflation factors under polygenic inheritance , 2011, European Journal of Human Genetics.

[19]  M. Stephens,et al.  Genome-wide Efficient Mixed Model Analysis for Association Studies , 2012, Nature Genetics.

[20]  D. Altshuler,et al.  Informed Conditioning on Clinical Covariates Increases Power in Case-Control Association Studies , 2012, PLoS genetics.

[21]  Peter Kraft,et al.  Analysis of case-control association studies with known risk variants , 2012, Bioinform..

[22]  Bjarni J. Vilhjálmsson,et al.  A mixed-model approach for genome-wide association studies of correlated traits in structured populations , 2012, Nature Genetics.

[23]  Tatiana I Axenovich,et al.  Rapid variance components–based method for whole-genome association analysis , 2012, Nature Genetics.

[24]  J. Mefford,et al.  The Covariate's Dilemma , 2012, PLoS genetics.

[25]  Bjarni J. Vilhjálmsson,et al.  An efficient multi-locus mixed model approach for genome-wide association studies in structured populations , 2012, Nature Genetics.

[26]  Stephan Ripke,et al.  Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs , 2012, Nature Genetics.

[27]  Eleazar Eskin,et al.  Improved linear mixed models for genome-wide association studies , 2012, Nature Methods.

[28]  David Heckerman,et al.  FaST-LMM-Select for addressing confounding from spatial structure and rare variants , 2013, Nature Genetics.

[29]  Naomi R. Wray,et al.  Estimation and partitioning of polygenic variation captured by common SNPs for Alzheimer's disease, multiple sclerosis and endometriosis , 2012, Human molecular genetics.

[30]  Saharon Rosset,et al.  Narrowing the gap on heritability of common disease by direct estimation in case-control GWAS , 2013, 1305.5363.

[31]  S. Rosset,et al.  Measuring missing heritability: Inferring the contribution of common variants , 2014, Proceedings of the National Academy of Sciences.

[32]  M. Stephens,et al.  Efficient multivariate linear mixed model algorithms for genome-wide association studies. , 2014, Nature methods.

[33]  Guo-Bo Chen,et al.  Estimating heritability of complex traits from genome-wide association studies using IBS-based Haseman–Elston regression , 2014, Front. Genet..

[34]  Bonnie Berger,et al.  Efficient Bayesian mixed model analysis increases association power in large cohorts , 2014 .

[35]  P. Visscher,et al.  Advantages and pitfalls in the application of mixed-model association methods , 2014, Nature Genetics.

[36]  B. Berger,et al.  Efficient Bayesian mixed model analysis increases association power in large cohorts , 2014, Nature Genetics.

[37]  M. Daly,et al.  LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.