{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T16:15:44Z","timestamp":1782836144604,"version":"3.54.5"},"reference-count":66,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,6,11]],"date-time":"2015-06-11T00:00:00Z","timestamp":1433980800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/2.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Hum Genomics"],"published-print":{"date-parts":[[2015,12]]},"DOI":"10.1186\/s40246-015-0030-6","type":"journal-article","created":{"date-parts":[[2015,6,11]],"date-time":"2015-06-11T08:46:11Z","timestamp":1434012371000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Prediction of complex human diseases from pathway-focused candidate markers by joint estimation of marker effects: case of chronic fatigue syndrome"],"prefix":"10.1186","volume":"9","author":[{"given":"Madhuchhanda","family":"Bhattacharjee","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mangalathu S.","family":"Rajeevan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mikko J.","family":"Sillanp\u00e4\u00e4","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,6,11]]},"reference":[{"key":"30_CR1","doi-asserted-by":"publisher","first-page":"880","DOI":"10.1038\/nrg2898","volume":"11","author":"G de los Campos","year":"2010","unstructured":"de los Campos G, Gianola D, Allison DB. Predicting genetic predisposition in humans: the promise of whole-genome markers. Nat Rev Genet. 2010;11:880\u20136.","journal-title":"Nat Rev Genet"},{"key":"30_CR2","doi-asserted-by":"publisher","first-page":"R182","DOI":"10.1093\/hmg\/ddr378","volume":"20","author":"L Jostins","year":"2011","unstructured":"Jostins L, Barrett JC. Genetic risk prediction in complex disease. Hum Mol Genet. 2011;20:R182\u20138.","journal-title":"Hum Mol Genet."},{"key":"30_CR3","doi-asserted-by":"publisher","first-page":"e1000337","DOI":"10.1371\/journal.pgen.1000337","volume":"5","author":"J Jakobsdottir","year":"2009","unstructured":"Jakobsdottir J, Gorin MB, Conley YP, Ferrell RE, Weeks DE. Interpretation of genetic association studies: markers with replicated highly significant odds ratios may be poor classifiers. PLoS Genet. 2009;5:e1000337.","journal-title":"PLoS Genet."},{"key":"30_CR4","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1038\/456018a","volume":"456","author":"BS Maher","year":"2008","unstructured":"Maher BS. The case of missing heritability. Nature. 2008;456:18\u201321.","journal-title":"Nature."},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1038\/nature08494","volume":"461","author":"TA Manolio","year":"2009","unstructured":"Manolio TA, Collins FS, Cox NJ, Goldstein DB, Hindorff LA, Hunter DJ, et al. Finding the missing heritability of complex diseases. Nature. 2009;461:747\u201353.","journal-title":"Nature."},{"key":"30_CR6","doi-asserted-by":"publisher","first-page":"294","DOI":"10.1016\/j.ajhg.2011.02.002","volume":"88","author":"SH Lee","year":"2011","unstructured":"Lee SH, Wray NR, Goddard ME, Visscher PM. Estimating missing heritability for disease from genome-wide association studies. Am J Hum Genet. 2011;88:294\u2013305.","journal-title":"Am J Hum Genet."},{"key":"30_CR7","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1038\/ng.608","volume":"42","author":"J Yang","year":"2010","unstructured":"Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, Nyholt DR, et al. Common SNPs explain a large proportion of the heritability for human height. Nat Genet. 2010;42:565\u20139.","journal-title":"Nat Genet."},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1016\/j.ajhg.2010.11.011","volume":"88","author":"J Yang","year":"2011","unstructured":"Yang J, Lee SH, Goddard ME, Visscher PM. GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2011;88:76\u201382.","journal-title":"Am J Hum Genet."},{"key":"30_CR9","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1214\/09-BA403","volume":"4","author":"RB O'Hara","year":"2009","unstructured":"O'Hara RB, Sillanp\u00e4\u00e4 MJ. A review of Bayesian variable selection methods: what, how and which. Bayesian Anal. 2009;4:85\u2013118.","journal-title":"Bayesian Anal."},{"key":"30_CR10","doi-asserted-by":"publisher","first-page":"e1003264","DOI":"10.1371\/journal.pgen.1003264","volume":"9","author":"X Zhou","year":"2013","unstructured":"Zhou X, Carbonetto P, Stephens M. Polygenic modeling with Bayesian sparse linear mixed models. PLoS Genet. 2013;9:e1003264.","journal-title":"PLoS Genet."},{"key":"30_CR11","doi-asserted-by":"publisher","first-page":"419","DOI":"10.1007\/s00122-012-1892-9","volume":"125","author":"Z Li","year":"2012","unstructured":"Li Z, Sillanp\u00e4\u00e4 MJ. Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection. Theor Appl Genet. 2012;125:419\u201335.","journal-title":"Theor Appl Genet."},{"key":"30_CR12","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1093\/bioinformatics\/btp041","volume":"25","author":"TT Wu","year":"2009","unstructured":"Wu TT, Chen YF, Hastie T, Sobel E, Lange K. Genome-wide association analysis by lasso penalized logistic regression. Bioinformatics. 2009;25:714\u201321.","journal-title":"Bioinformatics."},{"key":"30_CR13","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1534\/genetics.109.101501","volume":"182","author":"G de los Campos","year":"2009","unstructured":"de los Campos G, Naya H, Gianola D, Crossa J, Legarra A, Manfredi E, et al. Predicting quantitative traits with regression models for dense molecular markers and pedigree. Genetics. 2009;182:375\u201385.","journal-title":"Genetics"},{"key":"30_CR14","doi-asserted-by":"publisher","first-page":"327","DOI":"10.1534\/genetics.112.143313","volume":"193","author":"G de los Campos","year":"2013","unstructured":"de los Campos G, Hickey JM, Pong-Wong R, Daetwyler HD, Calus MP. Whole-genome regression and prediction methods applied to plant and animal breeding. Genetics. 2013;193:327\u201345.","journal-title":"Genetics"},{"key":"30_CR15","doi-asserted-by":"publisher","first-page":"e1000231","DOI":"10.1371\/journal.pgen.1000231","volume":"4","author":"SH Lee","year":"2008","unstructured":"Lee SH, van der Werf JH, Hayes BJ, Goddard ME, Visscher PM. Predicting unobserved phenotypes for complex traits from whole-genome SNP data. PLoS Genet. 2008;4:e1000231.","journal-title":"PLoS Genet."},{"key":"30_CR16","doi-asserted-by":"publisher","first-page":"e1003608","DOI":"10.1371\/journal.pgen.1003608","volume":"9","author":"G de los Campos","year":"2013","unstructured":"de los Campos G, Vazquez AI, Fernando R, Klimentidis YC, Sorensen D. Prediction of complex human traits using the genomic best linear unbiased predictor. PLoS Genet. 2013;9:e1003608.","journal-title":"PLoS Genet"},{"key":"30_CR17","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1186\/1479-5876-7-81","volume":"7","author":"LC Huang","year":"2009","unstructured":"Huang LC, Hsu SY, Lin E. A comparison of classification methods for predicting chronic fatigue syndrome based on genetic data. J Transl Med. 2009;7:81.","journal-title":"J Transl Med."},{"key":"30_CR18","unstructured":"Bhattacharjee M, Sillanp\u00e4\u00e4 MJ. Bayesian joint disease-marker-expression analysis applied to clinical characteristics of chronic fatigue syndrome. In: McConnell P, Lin S, Cuticchia AJ, editors. Methods of microarray data analysis VI. (CAMDA). CAMDA 2009, 15\u201334."},{"key":"30_CR19","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1016\/j.ygeno.2008.06.006","volume":"92","author":"M Bhattacharjee","year":"2008","unstructured":"Bhattacharjee M, Botting CH, Sillanp\u00e4\u00e4 MJ. Bayesian biomarker identification based on marker-expression proteomics data. Genomics. 2008;92:384\u201392.","journal-title":"Genomics."},{"key":"30_CR20","doi-asserted-by":"publisher","first-page":"e26959","DOI":"10.1371\/journal.pone.0026959","volume":"6","author":"M Bhattacharjee","year":"2011","unstructured":"Bhattacharjee M, Sillanp\u00e4\u00e4 MJ. A Bayesian mixed regression based prediction of quantitative traits from molecular marker and gene expression data. PLoS One. 2011;6:e26959.","journal-title":"PLoS One."},{"key":"30_CR21","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1101\/gr.3851306","volume":"16","author":"M West","year":"2006","unstructured":"West M, Ginsburg GS, Huang AT, Nevins JR. Embracing the complexity of genomic data for personalized medicine. Genome Res. 2006;16:559\u201366.","journal-title":"Genome Res."},{"key":"30_CR22","doi-asserted-by":"publisher","first-page":"1271","DOI":"10.1016\/j.patrec.2007.02.010","volume":"28","author":"A Kab\u00e1n","year":"2007","unstructured":"Kab\u00e1n A. On Bayesian classification with Laplace priors. Patt Rec Lett. 2007;28:1271\u201382.","journal-title":"Patt Rec Lett."},{"key":"30_CR23","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1534\/genetics.104.032680","volume":"169","author":"MJ Sillanp\u00e4\u00e4","year":"2005","unstructured":"Sillanp\u00e4\u00e4 MJ, Bhattacharjee M. Bayesian association-based fine mapping in small chromosomal segments. Genetics. 2005;169:427\u201339.","journal-title":"Genetics."},{"key":"30_CR24","doi-asserted-by":"publisher","first-page":"345","DOI":"10.2217\/14622416.7.3.345","volume":"7","author":"SD Vernon","year":"2006","unstructured":"Vernon SD, Reeves WC. The challenge of integrating disparate high-content data: epidemiological, clinical and laboratory data collected during an in-hospital study of chronic fatigue syndrome. Pharmacogenomics. 2006;7:345\u201354.","journal-title":"Pharmacogenomics."},{"key":"30_CR25","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1186\/1741-7015-3-19","volume":"3","author":"WC Reeves","year":"2005","unstructured":"Reeves WC, Wagner D, Nisenbaum R, Jones JF, Gurbaxani B, Solomon L, et al. Chronic fatigue syndrome\u2014a clinically empirical approach to its definition and study. BMC Med. 2005;3:19.","journal-title":"BMC Med."},{"key":"30_CR26","doi-asserted-by":"publisher","first-page":"953","DOI":"10.7326\/0003-4819-121-12-199412150-00009","volume":"121","author":"K Fukuda","year":"1994","unstructured":"Fukuda K, Straus SE, Hickie I, Sharpe MC, Dobbins JG, Komaroff A. The chronic fatigue syndrome: a comprehensive approach to its definition and study. International Chronic Fatigue Syndrome Study Group. Ann Intern Med. 1994;121:953\u20139.","journal-title":"Ann Intern Med."},{"key":"30_CR27","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.psyneuen.2007.11.001","volume":"33","author":"AK Smith","year":"2008","unstructured":"Smith AK, Dimulescu I, Falkenberg VR, Narasimhan S, Heim C, Vernon SD, et al. Genetic evaluation of the serotonergic system in chronic fatigue syndrome. Psychoneuroendocrinology. 2008;33:188\u201397.","journal-title":"Psychoneuroendocrinology."},{"key":"30_CR28","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.bbrc.2003.09.207","volume":"311","author":"M Narita","year":"2003","unstructured":"Narita M, Nishigami N, Narita N, Yamaguti K, Okado N, Watanabe Y, et al. Association between serotonin transporter gene polymorphism and chronic fatigue syndrome. Biochem Biophys Res Commun. 2003;311:264\u20136.","journal-title":"Biochem Biophys Res Commun."},{"key":"30_CR29","doi-asserted-by":"publisher","first-page":"W201","DOI":"10.1093\/nar\/gkq513","volume":"38","author":"SF Saccone","year":"2010","unstructured":"Saccone SF, Bolze R, Thomas P, Quan J, Mehta G, Deelman E, et al. SPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association study. Nucleic Acids Res. 2010;38:W201\u20139.","journal-title":"Nucleic Acids Res."},{"key":"30_CR30","doi-asserted-by":"publisher","first-page":"3567","DOI":"10.1214\/10-AOS798","volume":"38","author":"J Fan","year":"2010","unstructured":"Fan J, Song R. Sure independence screening in generalized linear models with NP-dimensionality. Ann Stat. 2010;38:3567\u2013604.","journal-title":"Ann Stat."},{"key":"30_CR31","doi-asserted-by":"publisher","first-page":"510","DOI":"10.1111\/j.1469-1809.2012.00729.x","volume":"76","author":"HP K\u00e4rkk\u00e4inen","year":"2012","unstructured":"K\u00e4rkk\u00e4inen HP, Sillanp\u00e4\u00e4 MJ. Robustness of Bayesian multilocus association models to cryptic relatedness. Ann Hum Genet. 2012;76:510\u201323.","journal-title":"Ann Hum Genet."},{"key":"30_CR32","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.2307\/2533494","volume":"53","author":"PD Sasieni","year":"1997","unstructured":"Sasieni PD. From genotypes to genes: doubling the sample size. Biometrics. 1997;53:1253\u201361.","journal-title":"Biometrics."},{"key":"30_CR33","doi-asserted-by":"publisher","first-page":"117","DOI":"10.3389\/fgene.2012.00117","volume":"3","author":"X Gao","year":"2012","unstructured":"Gao X, Haritunians T, Marjoram P, McKean-Cowdin R, Torres M, Taylor KD, et al. Genotype imputation for Latinos using the HapMap and 1000 genomes project reference panels. Front Genet. 2012;3:117.","journal-title":"Front Genet."},{"key":"30_CR34","doi-asserted-by":"publisher","first-page":"e114","DOI":"10.1371\/journal.pgen.0030114","volume":"3","author":"B Servin","year":"2007","unstructured":"Servin B, Stephens M. Imputation-based analysis of association studies: candidate regions and quantitative traits. PLoS Genet. 2007;3:e114.","journal-title":"PLoS Genet."},{"key":"30_CR35","doi-asserted-by":"publisher","first-page":"1575","DOI":"10.1007\/s00122-012-1936-1","volume":"125","author":"CM Mutshinda","year":"2012","unstructured":"Mutshinda CM, Sillanp\u00e4\u00e4 MJ. Swift block-updating EM and pseudo-EM procedures for Bayesian shrinkage analysis of quantitative trait loci. Theor Appl Genet. 2012;125:1575\u201387.","journal-title":"Theor Appl Genet."},{"key":"30_CR36","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/j.2517-6161.1974.tb00994.x","volume":"36","author":"M Stone","year":"1974","unstructured":"Stone M. Cross-validatory choice and assessment of statistical predictions. J Roy Stat Soc B. 1974;36:111\u201347.","journal-title":"J Roy Stat Soc B."},{"key":"30_CR37","doi-asserted-by":"crossref","unstructured":"Hastie T, Tibshirani R, Friedman J. The elements of statistical learning: data mining, inference, and prediction. 2nd ed. Springer; 2009.","DOI":"10.1007\/978-0-387-84858-7"},{"key":"30_CR38","volume-title":"WinBUGS Version 1.2 User Manual","author":"DJ Spiegelhalter","year":"1999","unstructured":"Spiegelhalter DJ, Thomas A, Best NG. WinBUGS Version 1.2 User Manual. Cambridge: MRC Biostatistics Unit; 1999."},{"key":"30_CR39","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1002\/bimj.200900028","volume":"52","author":"JJ Goeman","year":"2010","unstructured":"Goeman JJ. L-1 penalized estimation in the Cox proportional hazards model. Biometrical J. 2010;52:70\u201384.","journal-title":"Biometrical J."},{"key":"30_CR40","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1086\/346117","volume":"72","author":"DV Conti","year":"2003","unstructured":"Conti DV, Witte JS. Hierarchical modeling of linkage disequilibrium: genetic structure and spatial relations. Am J Hum Genet. 2003;72:351\u201363.","journal-title":"Am J Hum Genet."},{"key":"30_CR41","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/j.ajhg.2007.10.012","volume":"82","author":"N Malo","year":"2008","unstructured":"Malo N, Libiger O, Schork NJ. Accommodating linkage disequilibrium in genetic-association analyses via ridge regression. Am J Hum Genet. 2008;82:375\u201385.","journal-title":"Am J Hum Genet."},{"key":"30_CR42","doi-asserted-by":"publisher","first-page":"658","DOI":"10.1111\/j.1469-1809.2008.00459.x","volume":"72","author":"MY Tsai","year":"2008","unstructured":"Tsai MY, Hsiao CK, Wen SH. A Bayesian spatial multimarker genetic random-effect model for fine-scale mapping. Ann Hum Genet. 2008;72:658\u201369.","journal-title":"Ann Hum Genet."},{"key":"30_CR43","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1159\/000313852","volume":"70","author":"BL Fridley","year":"2010","unstructured":"Fridley BL, Jenkins GD. Localizing putative markers in genetic association studies by incorporating linkage disequilibrium into Bayesian hierarchical models. Hum Hered. 2010;70:63\u201373.","journal-title":"Hum Hered."},{"key":"30_CR44","doi-asserted-by":"publisher","first-page":"1491","DOI":"10.1534\/genetics.111.131540","volume":"190","author":"W Yang","year":"2012","unstructured":"Yang W, Tempelman RJ. A Bayesian antedependence model for whole genome prediction. Genetics. 2012;190:1491\u2013501.","journal-title":"Genetics."},{"key":"30_CR45","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1534\/genetics.114.167817","volume":"199","author":"H Yi","year":"2015","unstructured":"Yi H, Breheny P, Imam N, Liu Y, Hoeschele I. Penalized multimarker vs. single-marker regression methods for genome-wide association studies of quantitative traits. Genetics. 2015;199:205\u201322.","journal-title":"Genetics."},{"key":"30_CR46","doi-asserted-by":"publisher","first-page":"475","DOI":"10.2217\/14622416.7.3.475","volume":"7","author":"BN Goertzel","year":"2006","unstructured":"Goertzel BN, Pennachin C, de Souza CL, Gurbaxani B, Maloney EM, Jones JF. Combinations of single nucleotide polymorphisms in neuroendocrine effector and receptor genes predict chronic fatigue syndrome. Pharmacogenomics. 2006;7:475\u201383.","journal-title":"Pharmacogenomics."},{"key":"30_CR47","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1186\/1471-2105-13-284","volume":"13","author":"V Zuber","year":"2012","unstructured":"Zuber V, Duarte Silva AP, Strimmer K. A novel algorithm for simultaneous SNP selection in high-dimensional genome-wide association studies. BMC Bioinf. 2012;13:284.","journal-title":"BMC Bioinf."},{"key":"30_CR48","doi-asserted-by":"publisher","first-page":"R166","DOI":"10.1093\/hmg\/ddn250","volume":"17","author":"AC Janssens","year":"2008","unstructured":"Janssens AC, van Duijn CM. Genome-based prediction of common diseases: advances and prospects. Hum Mol Genet. 2008;17:R166\u201373.","journal-title":"Hum Mol Genet."},{"key":"30_CR49","doi-asserted-by":"publisher","first-page":"e1035","DOI":"10.1371\/journal.pone.0001035","volume":"2","author":"MJ Loza","year":"2007","unstructured":"Loza MJ, McCall CE, Li L, Isaacs WB, Xu J, Chang BL. Assembly of inflammation-related genes for pathway-focused genetic analysis. PLoS One. 2007;2:e1035.","journal-title":"PLoS One."},{"key":"30_CR50","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1038\/sj.mp.4001695","volume":"10","author":"E Hattori","year":"2005","unstructured":"Hattori E, Liu C, Zhu H, Gershon ES. Genetic tests of biologic systems in affective disorders. Mol Psychiatry. 2005;10:719\u201340.","journal-title":"Mol Psychiatry."},{"key":"30_CR51","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1016\/S0168-9525(02)02688-4","volume":"18","author":"MJ Sillanp\u00e4\u00e4","year":"2002","unstructured":"Sillanp\u00e4\u00e4 MJ, Corander J. Model choice in gene mapping: what and why. Trends Genet. 2002;18:301\u20137.","journal-title":"Trends Genet."},{"key":"30_CR52","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1186\/1297-9686-41-35","volume":"41","author":"TH Meuwissen","year":"2009","unstructured":"Meuwissen TH. Accuracy of breeding values of \u2018unrelated\u2019 individuals predicted by dense SNP genotyping. Genet Sel Evol. 2009;41:35.","journal-title":"Genet Sel Evol."},{"key":"30_CR53","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1186\/1471-2156-12-15","volume":"12","author":"Z Hu","year":"2011","unstructured":"Hu Z, Li Y, Song X, Han Y, Cai X, Xu S, et al. Genomic value prediction for quantitative traits under the epistatic model. BMC Genet. 2011;12:15.","journal-title":"BMC Genet."},{"key":"30_CR54","doi-asserted-by":"publisher","first-page":"65","DOI":"10.3835\/plantgenome.2010.12.0029","volume":"4","author":"EL Heffner","year":"2011","unstructured":"Heffner EL, Jannink J-L, Sorrells ME. Genome selection accuracy using multifamily prediction models in a wheat breeding program. Plant Genome. 2011;4:65\u201375.","journal-title":"Plant Genome."},{"key":"30_CR55","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1086\/511051","volume":"80","author":"M Cargill","year":"2007","unstructured":"Cargill M, Schrodi SJ, Chang M, Garcia VE, Brandon R, Callis KP, et al. A large-scale genetic association study confirms IL12B and leads to the identification of IL23R as psoriasis-risk genes. Am J Hum Genet. 2007;80:273\u201390.","journal-title":"Am J Hum Genet."},{"key":"30_CR56","first-page":"2109","volume":"14","author":"SH Kim","year":"2008","unstructured":"Kim SH, Mok JW, Kim HS, Joo CK. Association of \u221231T\u2009>\u2009C and \u2212511 C\u2009>\u2009T polymorphisms in the interleukin 1 beta (IL1B) promoter in Korean keratoconus patients. Mol Vis. 2008;14:2109\u201316.","journal-title":"Mol Vis."},{"key":"30_CR57","doi-asserted-by":"publisher","first-page":"1247","DOI":"10.1136\/ard.2009.117572","volume":"69","author":"K Kim","year":"2010","unstructured":"Kim K, Cho SK, Sestak A, Namjou B, Kang C, Bae SC. Interferon-gamma gene polymorphisms associated with susceptibility to systemic lupus erythematosus. Ann Rheum Dis. 2010;69:1247\u201350.","journal-title":"Ann Rheum Dis."},{"key":"30_CR58","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1002\/ajmg.b.30569","volume":"147B","author":"D Rujescu","year":"2008","unstructured":"Rujescu D, Giegling I, Mandelli L, Schneider B, Hartmann AM, Schnabel A, et al. NOS-I and -III gene variants are differentially associated with facets of suicidal behavior and aggression-related traits. Am J Med Genet B Neuropsychiatr Genet. 2008;147B:42\u20138.","journal-title":"Am J Med Genet B Neuropsychiatr Genet."},{"key":"30_CR59","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1111\/j.1469-1809.2009.00560.x","volume":"74","author":"TL Edwards","year":"2010","unstructured":"Edwards TL, Scott WK, Almonte C, Burt A, Powell EH, Beecham GW, et al. Genome-wide association study confirms SNPs in SNCA and the MAPT region as common risk factors for Parkinson disease. Ann Hum Genet. 2010;74:97\u2013109.","journal-title":"Ann Hum Genet."},{"key":"30_CR60","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1111\/j.1601-183X.2006.00244.x","volume":"6","author":"MS Rajeevan","year":"2007","unstructured":"Rajeevan MS, Smith AK, Dimulescu I, Unger ER, Vernon SD, Heim C, et al. Glucocorticoid receptor polymorphisms and haplotypes associated with chronic fatigue syndrome. Genes Brain Behav. 2007;6:167\u201376.","journal-title":"Genes Brain Behav."},{"key":"30_CR61","doi-asserted-by":"publisher","first-page":"387","DOI":"10.2217\/14622416.7.3.387","volume":"7","author":"AK Smith","year":"2006","unstructured":"Smith AK, White PD, Aslakson E, Vollmer-Conna U, Rajeevan MS. Polymorphisms in genes regulating the HPA axis associated with empirically delineated classes of unexplained chronic fatigue. Pharmacogenomics. 2006;7:387\u201394.","journal-title":"Pharmacogenomics."},{"key":"30_CR62","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1016\/j.psyneuen.2008.10.022","volume":"34","author":"AK Smith","year":"2009","unstructured":"Smith AK, Maloney EM, Falkenberg VR, Dimulescu I, Rajeevan MS. An angiotensin-1 converting enzyme polymorphism is associated with allostatic load mediated by C-reactive protein, interleukin-6 and cortisol. Psychoneuroendocrinology. 2009;34:597\u2013606.","journal-title":"Psychoneuroendocrinology."},{"key":"30_CR63","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1534\/genetics.111.134866","volume":"190","author":"Z Li","year":"2012","unstructured":"Li Z, Sillanp\u00e4\u00e4 MJ. Estimation of quantitative trait locus effects with epistasis by variational Bayes algorithms. Genetics. 2012;190:231\u201349.","journal-title":"Genetics."},{"key":"30_CR64","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1038\/hdy.2010.91","volume":"106","author":"MJ Sillanp\u00e4\u00e4","year":"2010","unstructured":"Sillanp\u00e4\u00e4 MJ. Overview of techniques to account for confounding due to population stratification and cryptic relatedness in genomic data association analyses. Heredity. 2010;106:511\u20139.","journal-title":"Heredity."},{"key":"30_CR65","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1038\/hdy.2009.56","volume":"103","author":"P Pikkuhookana","year":"2009","unstructured":"Pikkuhookana P, Sillanp\u00e4\u00e4 MJ. Correcting for relatedness in Bayesian models for genomic data association analysis. Heredity. 2009;103:223\u201337.","journal-title":"Heredity."},{"key":"30_CR66","doi-asserted-by":"publisher","first-page":"1597","DOI":"10.1534\/genetics.106.061275","volume":"174","author":"MJ Sillanp\u00e4\u00e4","year":"2006","unstructured":"Sillanp\u00e4\u00e4 MJ, Bhattacharjee M. Association mapping of complex trait loci with context-dependent effects and unknown context variable. Genetics. 2006;174:1597\u2013611.","journal-title":"Genetics."}],"container-title":["Human Genomics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s40246-015-0030-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s40246-015-0030-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s40246-015-0030-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s40246-015-0030-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T12:58:35Z","timestamp":1717937915000},"score":1,"resource":{"primary":{"URL":"https:\/\/humgenomics.biomedcentral.com\/articles\/10.1186\/s40246-015-0030-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,6,11]]},"references-count":66,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,12]]}},"alternative-id":["30"],"URL":"https:\/\/doi.org\/10.1186\/s40246-015-0030-6","relation":{},"ISSN":["1479-7364"],"issn-type":[{"value":"1479-7364","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,6,11]]},"assertion":[{"value":"27 August 2013","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 May 2015","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 June 2015","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"8"}}