118
R. E. Graff et al.
Madsen BE, Browning SR (2009) A groupwise association test for rare mutations using a weighted
sum statistic. PLoS Genet 5:e1000384
Magi R, Morris AP (2010) GWAMA: software for genome-wide association meta-analysis. BMC
Bioinformatics 11:288
Maher B (2008) Personal genomes: the case of the missing heritability. Nature 456:18–21
Manichaikul A, Mychaleckyj JC, Rich SS, Daly K, Sale M, Chen WM (2010) Robust relationship
inference in genome-wide association studies. Bioinformatics 26:2867–2873
Manolio TA, Brooks LD, Collins FS (2008) A HapMap harvest of insights into the genetics of
common disease. J Clin Invest 118:1590–1605
Marchini J, Howie B (2008) Comparing algorithms for genotype imputation. Am J Hum Genet
83:535–539. author reply 539-540
Marchini J, Howie B, Myers S, McVean G, Donnelly P (2007) A new multipoint method for
genome-wide association studies by imputation of genotypes. Nat Genet 39:906–913
Marquez A, Kerick M, Zhernakova A et al (2018) Meta-analysis of immunochip data of four
autoimmune diseases reveals novel single-disease and cross-phenotype associations. Genome
Med 10:97
Mavaddat N, Michailidou K, Dennis J et al (2019) Polygenic risk scores for prediction of breast
cancer and breast cancer subtypes. Am J Hum Genet 104:21–34
McAllister K, Mechanic LE, Amos C et al (2017) Current challenges and new opportunities for
gene-environment interaction studies of complex diseases. Am J Epidemiol 186:753–761
Mefford J, Witte JS (2012) The covariate’s dilemma. PLoS Genet 8:e1003096
Mitchell BD, Fornage M, McArdle PF et al (2014) Using previously genotyped controls in
genome-wide association studies (GWAS): application to the stroke genetics network (SiGN).
Front Genet 5
Morgenthaler S, Thilly WG (2007) A strategy to discover genes that carry multi-allelic or monoallelic risk for common diseases: a cohort allelic sums test (CAST). Mutat Res 615:28–56
Morris AP (2011) Transethnic meta-analysis of genomewide association studies. Genet Epidemiol
35:809–822
Morris AP, Zeggini E (2010) An evaluation of statistical approaches to rare variant analysis in
genetic association studies. Genet Epidemiol 34:188–193
Motsinger AA, Ritchie MD (2006) Multifactor dimensionality reduction: an analysis strategy
for modelling and detecting gene-gene interactions in human genetics and pharmacogenomics
studies. Hum Genomics 2:318–328
Mutsuddi M, Morris DW, Waggoner SG, Daly MJ, Scolnick EM, Sklar P (2006) Analysis of
high-resolution HapMap of DTNBP1 (Dysbindin) suggests no consistency between reported
common variant associations and schizophrenia. Am J Hum Genet 79:903–909
Nam D, Kim SY (2008) Gene-set approach for expression pattern analysis. Brief Bioinform 9:189–
197
Neale BM, Rivas MA, Voight BF et al (2011) Testing for an unusual distribution of rare variants.
PLoS Genet 7:e1001322
Nelson SC, Doheny KF, Pugh EW et al (2013) Imputation-based genomic coverage assessments
of current human genotyping arrays. G3 (Bethesda) 3:1795–1807
Ng SB, Turner EH, Robertson PD et al (2009) Targeted capture and massively parallel sequencing
of 12 human exomes. Nature 461:272–276
Nolte IM, van der Most PJ, Alizadeh BZ et al (2017) Missing heritability: is the gap closing? An
analysis of 32 complex traits in the lifelines cohort study. Eur J Hum Genet 25:877–885
Nyholt DR (2004) A simple correction for multiple testing for single-nucleotide polymorphisms
in linkage disequilibrium with each other. Am J Hum Genet 74:765–769
Paltoo DN, Rodriguez LL, Feolo M et al (2014) Data use under the NIH GWAS data sharing policy
and future directions. Nat Genet 46:934–938
Pan W (2009) Asymptotic tests of association with multiple SNPs in linkage disequilibrium. Genet
Epidemiol 33:497–507
Panagiotou OA, Willer CJ, Hirschhorn JN, Ioannidis JPA (2013) The power of meta-analysis in
genome-wide association studies. Annu Rev Genomics Hum Genet 14:441–465
R. E. Graff et al.
Madsen BE, Browning SR (2009) A groupwise association test for rare mutations using a weighted
sum statistic. PLoS Genet 5:e1000384
Magi R, Morris AP (2010) GWAMA: software for genome-wide association meta-analysis. BMC
Bioinformatics 11:288
Maher B (2008) Personal genomes: the case of the missing heritability. Nature 456:18–21
Manichaikul A, Mychaleckyj JC, Rich SS, Daly K, Sale M, Chen WM (2010) Robust relationship
inference in genome-wide association studies. Bioinformatics 26:2867–2873
Manolio TA, Brooks LD, Collins FS (2008) A HapMap harvest of insights into the genetics of
common disease. J Clin Invest 118:1590–1605
Marchini J, Howie B (2008) Comparing algorithms for genotype imputation. Am J Hum Genet
83:535–539. author reply 539-540
Marchini J, Howie B, Myers S, McVean G, Donnelly P (2007) A new multipoint method for
genome-wide association studies by imputation of genotypes. Nat Genet 39:906–913
Marquez A, Kerick M, Zhernakova A et al (2018) Meta-analysis of immunochip data of four
autoimmune diseases reveals novel single-disease and cross-phenotype associations. Genome
Med 10:97
Mavaddat N, Michailidou K, Dennis J et al (2019) Polygenic risk scores for prediction of breast
cancer and breast cancer subtypes. Am J Hum Genet 104:21–34
McAllister K, Mechanic LE, Amos C et al (2017) Current challenges and new opportunities for
gene-environment interaction studies of complex diseases. Am J Epidemiol 186:753–761
Mefford J, Witte JS (2012) The covariate’s dilemma. PLoS Genet 8:e1003096
Mitchell BD, Fornage M, McArdle PF et al (2014) Using previously genotyped controls in
genome-wide association studies (GWAS): application to the stroke genetics network (SiGN).
Front Genet 5
Morgenthaler S, Thilly WG (2007) A strategy to discover genes that carry multi-allelic or monoallelic risk for common diseases: a cohort allelic sums test (CAST). Mutat Res 615:28–56
Morris AP (2011) Transethnic meta-analysis of genomewide association studies. Genet Epidemiol
35:809–822
Morris AP, Zeggini E (2010) An evaluation of statistical approaches to rare variant analysis in
genetic association studies. Genet Epidemiol 34:188–193
Motsinger AA, Ritchie MD (2006) Multifactor dimensionality reduction: an analysis strategy
for modelling and detecting gene-gene interactions in human genetics and pharmacogenomics
studies. Hum Genomics 2:318–328
Mutsuddi M, Morris DW, Waggoner SG, Daly MJ, Scolnick EM, Sklar P (2006) Analysis of
high-resolution HapMap of DTNBP1 (Dysbindin) suggests no consistency between reported
common variant associations and schizophrenia. Am J Hum Genet 79:903–909
Nam D, Kim SY (2008) Gene-set approach for expression pattern analysis. Brief Bioinform 9:189–
197
Neale BM, Rivas MA, Voight BF et al (2011) Testing for an unusual distribution of rare variants.
PLoS Genet 7:e1001322
Nelson SC, Doheny KF, Pugh EW et al (2013) Imputation-based genomic coverage assessments
of current human genotyping arrays. G3 (Bethesda) 3:1795–1807
Ng SB, Turner EH, Robertson PD et al (2009) Targeted capture and massively parallel sequencing
of 12 human exomes. Nature 461:272–276
Nolte IM, van der Most PJ, Alizadeh BZ et al (2017) Missing heritability: is the gap closing? An
analysis of 32 complex traits in the lifelines cohort study. Eur J Hum Genet 25:877–885
Nyholt DR (2004) A simple correction for multiple testing for single-nucleotide polymorphisms
in linkage disequilibrium with each other. Am J Hum Genet 74:765–769
Paltoo DN, Rodriguez LL, Feolo M et al (2014) Data use under the NIH GWAS data sharing policy
and future directions. Nat Genet 46:934–938
Pan W (2009) Asymptotic tests of association with multiple SNPs in linkage disequilibrium. Genet
Epidemiol 33:497–507
Panagiotou OA, Willer CJ, Hirschhorn JN, Ioannidis JPA (2013) The power of meta-analysis in
genome-wide association studies. Annu Rev Genomics Hum Genet 14:441–465