81 Fronza R, Tramonti M, Atchley W R, et al. Joint analysis of transcriptional and post-transcriptional brain tumor data: searching for emergent properties of cellular systems. BMC Bioinformatics, 2011, 12: 86？？
[2]
82 Fronza R, Tramonti M, Atchley W R, et al. Brain cancer prognosis: independent validation of a clinical bioinformatics approach. J Clin Bioinforma, 2012, 2: 2？？
[3]
83 Wu G, Zhu L, Dent J E, et al. A comprehensive molecular interaction map for rheumatoid arthritis. PLoS One, 2010, 5: e10137？？
[4]
1 Lander E S, Linton L M, Bruce B, et al. Initial sequencing and analysis of the human genome. Nature, 2001, 409: 860-921？？
[5]
2 Venter J C, Adams M D, Myers E W, et al. The sequence of the human genome. Science, 2001, 291: 1304-1351？？
[6]
3 Pennisi E. Breakthrough of the year. Human genetic variation. Science, 2007, 318: 1842-1843？？
[7]
4 Nielsen R. Genomics: in search of rare human variants. Nature, 2010, 467: 1050-1051？？
[8]
5 Nik-Zainal S, Alexandrov L B, Wedge D C, et al. Mutational processes molding the genomes of 21 breast cancers. Cell, 2012, 149: 979-993？？
[9]
6 Pasaniuc B, Rohland N, McLaren P J, et al. Extremely low-coverage sequencing and imputation increases power for genome-wide association studies. Nat Genet, 2012, 44: 631-635？？
[10]
7 Collins F. Has the revolution arrived? Nature, 2010, 464: 674-675
[11]
8 Servin B, Stephens M. Imputation-based analysis of association studies: candidate regions and quantitative traits. PLoS Genet, 2007, 3: e114？？
[12]
9 Ashley E A, Butte A J, Wheeler M T, et al. Clinical assessment incorporating a personal genome. Lancet, 2010, 375: 1525-1535？？
[13]
10 Bird A. Perceptions of epigenetics. Nature, 2007, 447: 396-398？？
[14]
11 Greer E L, Shi Y. Histone methylation: a dynamic mark in health, disease and inheritance. Nat Rev Genet, 2012, 13: 343-357
[15]
12 Chi P, Allis C D, Wang G G. Covalent histone modifications—miswritten, misinterpreted and mis-erased in human cancers. Nat Rev Cancer, 2010, 10: 457-469？？
[16]
13 Mann B S, Johnson J R, Cohen M H, et al. FDA approval summary: vorinostat for treatment of advanced primary cutaneous T-cell lymphoma. Oncologist, 2007, 12: 1247-1252？？
[17]
14 Sekigawa I, Kawasaki M, Ogasawara H, et al. DNA methylation: its contribution to systemic lupus erythematosus. Clin Exp Med, 2006, 6: 99-106？？
[18]
15 Maciejewska-Rodrigues H, Karouzakis E, Strietholt S, et al. Epigenetics and rheumatoid arthritis: the role of SENP1 in the regulation of MMP-1 expression. J Autoimmun, 2010, 35: 15-22？？
[19]
16 Miao F, Smith D D, Zhang L, et al. Lymphocytes from patients with type 1 diabetes display a distinct profile of chromatin histone H3 lysine 9 dimethylation: an epigenetic study in diabetes. Diabetes, 2008, 57: 3189-3198？？
[20]
17 Amir R E, Van den Veyver I B, Wan M, et al. Rett syndrome is caused by mutations in X-linked MECP2, encoding methyl-CpG-binding protein 2. Nat Genet, 1999, 23: 185-188
[21]
18 Tsankova N, Renthal W, Kumar A, et al. Epigenetic regulation in psychiatric disorders. Nat Rev Neurosci, 2007, 8: 355-367
[22]
19 Barski A, Cuddapah S, Cui K, et al. High-resolution profiling of histone methylations in the human genome. Cell, 2007, 129: 823-837？？
[23]
20 Eckhardt F, Lewin J, Cortese R, et al. DNA methylation profiling of human chromosomes 6, 20 and 22. Nat Genet, 2006, 38: 1378-1385
[24]
21 Hesselberth J R, Chen X, Zhang Z, et al. Global mapping of protein-DNA interactions in vivo by digital genomic footprinting. Nat Methods, 2009, 6: 283-289？？
[25]
22 Yu H, Zhu S, Zhou B, et al. Inferring causal relationships among different histone modifications and gene expression. Genome Res, 2008, 18: 1314-1324？？
[26]
23 Xiao S, Xie D, Cao X, et al. Comparative epigenomic annotation of regulatory DNA. Cell, 2012, 149: 1381-1392？？
[27]
24 Jin C, Li J, Green C D, et al. Histone demethylase UTX-1 regulates C. elegans life span by targeting the insulin/IGF-1 signaling pathway. Cell Metab, 2011, 14: 161-172
[28]
25 Xue H, Xian B, Dong D, et al. A modular network model of aging. Mol Syst Biol, 2007, 3: 147
[29]
26 Zhou B, Yang L, Li S, et al. Midlife gene expressions identify modulators of aging through dietary interventions. Proc Natl Acad Sci USA, 2012, 109: E1201-E1209？？
[30]
27 Wei G, Wei L, Zhu J, et al. Global mapping of H3K4me3 and H3K27me3 reveals specificity and plasticity in lineage fate determination of differentiating CD4+ T cells. Immunity, 2009, 30: 155-167？？
[31]
28 Wei G, Abraham B J, Yaqi R, et al. Genome-wide analyses of transcription factor GATA3-mediated gene regulation in distinct T cell types. Immunity, 2011, 35: 299-311？？
[32]
29 Voineagu I, Wang X, Johnston P, et al. Transcriptomic analysis of autistic brain reveals convergent molecular pathology. Nature, 2011, 474: 380-384？？
[33]
30 Kang H J, Kawasawa Y I, Cheng F, et al. Spatio-temporal transcriptome of the human brain. Nature, 2011, 478: 483-489？？
[34]
31 Yang L, Duff M O, Graveley B R, et al. Genomewide characterization of non-polyadenylated RNAs. Genome Biol, 2011, 12: R16
[35]
32 Yin Q F, Yang L, Zhang Y, et al. Long noncoding RNAs with snoRNA ends. Mol Cell, 2012, 48: 219-230？？
[36]
33 Hvistendahl M. My microbiome and me. Science, 2012, 336: 1248-1250？？
[37]
34 Snyder M, Du J, Gerstein M. Personal genome sequencing: current approaches and challenges. Genes Dev, 2010, 24: 423-431？？
[38]
35 Chen R, Mias G I, Li-Pook-Than J, et al. Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell, 2012, 148: 1293-1307？？
[39]
36 Davis B D. The isolation of biochemically deficient mutants of bacteria by means of penicillin. Proc Natl Acad Sci USA, 1949, 35: 1-10？？
[40]
37 Bedell M A, Jenkins N A, Copeland N G. Mouse models of human disease. Part I: techniques and resources for genetic analysis in mice. Genes Dev, 1997, 11: 1-10？？
[41]
38 Bedell M A, Largaespada D A, Jenkins N A, et al. Mouse models of human disease. Part II: recent progress and future directions. Genes Dev, 1997, 11: 11-43？？
[42]
39 Hardouin S N, Nagy A. Mouse models for human disease. Clin Genet, 2000, 57: 237-244
[43]
40 Francis-West P H, Robson L, Evans D J. Craniofacial development: the tissue and molecular interactions that control development of the head. Adv Anat Embryol Cell Biol, 2003, 169: III-VI, 1-138？？
[44]
41 Wilkie A O, Morriss-Kay G M. Genetics of craniofacial development and malformation. Nat Rev Genet, 2001, 2: 458-468
[45]
42 Allanson J E, O''Hara P, Farkas L G, et al. Anthropometric craniofacial pattern profiles in Down syndrome. Am J Med Genet, 1993, 47: 748-752？？
[46]
43 Allanson J E, Hennekam R C. Rubinstein-Taybi syndrome: objective evaluation of craniofacial structure. Am J Med Genet, 1997, 71: 414-419？？
[47]
44 Allanson J E, Cole T R. Sotos syndrome: evolution of facial phenotype subjective and objective assessment. Am J Med Genet, 1996, 65: 13-20？？
[48]
45 Allanson J E, Hall J G, Hughes H E, et al. Noonan syndrome: the changing phenotype. Am J Med Genet, 1985, 21: 507-514？？
[49]
46 Beaty T H, Murray J C, Marazita M L, et al. A genome-wide association study of cleft lip with and without cleft palate identifies risk variants near MAFB and ABCA4. Nat Genet, 2010, 42: 525-529？？
[50]
47 Birnbaum S, Ludwig K U, Reutter H, et al. Key susceptibility locus for nonsyndromic cleft lip with or without cleft palate on chromosome 8q24. Nat Genet, 2009, 41: 473-477？？
[51]
48 Mangold E, Ludwig K U, Birnbaum S, et al. Genome-wide association study identifies two susceptibility loci for nonsyndromic cleft lip with or without cleft palate. Nat Genet, 2010, 42: 24-26？？
[52]
49 Rahimov F, Marazita M L, Visel A, et al. Disruption of an AP-2alpha binding site in an IRF6 enhancer is associated with cleft lip. Nat Genet, 2008, 40: 1341-1347？？
[53]
50 Boehringer S, van der Lijn F, Liu F, et al. Genetic determination of human facial morphology: links between cleft-lips and normal variation. Eur J Hum Genet, 2011, 19: 1192-1197？？
[54]
51 Kayser M, de Knijff P. Improving human forensics through advances in genetics, genomics and molecular biology. Nat Rev Genet, 2011, 12: 179-192？？
[55]
52 Little A C, Jones B C, DeBruine L M. Facial attractiveness: evolutionary based research. Philos Trans R Soc Lond B Biol Sci, 2011, 366: 1638-1659？？
[56]
53 Meyer-Marcotty P, Alpers G W, Gerdes A B, et al. Impact of facial asymmetry in visual perception: a 3-dimensional data analysis. Am J Orthod Dentofacial Orthop, 2010, 137: 168 e1-e8; discussion 168-169？？
[57]
54 Albert A M, Ricanek K Jr, Patterson E. A review of the literature on the aging adult skull and face: implications for forensic science research and applications. Forensic Sci Int, 2007, 172: 1-9？？
[58]
55 Fu Y, Guo G, Huang T S. Age synthesis and estimation via faces: a survey. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2010, 32: 1955-1976？？
[59]
56 Bowyer K W, Chang K, Flynn P. A survey of approaches and challenges in 3D and multi-modal 3D+ 2D face recognition. Comput Vis Image Und, 2006, 101: 1-15？？
[60]
57 Burton A M, Wilson S, Cowan M, et al. Face recognition in poor-quality video: evidence from security surveillance. Psychol Sci, 1999, 10: 243-248？？
[61]
58 Poh M Z, McDuff D J, Picard R W. Non-contact, automated cardiac pulse measurements using video imaging and blind source separation. Opt Express, 2010, 18: 10762-10774？？
[62]
59 Boehringer S, van der Lijin F, Liu F, et al. Genetic determination of human facial morphology: links between cleft-lips and normal variation. Eur J Hum Genet, 2011, 19: 1192-1197？？
[63]
60 Farkas L G, Katic M J, Forrest C R. International anthropometric study of facial morphology in various ethnic groups/races. J Craniofac Surg, 2005, 16: 615？？
[64]
61 Weinberg S M, Naidoo S D, Bardi K M, et al. Face shape of unaffected parents with cleft affected offspring: combining three—dimensional surface imaging and geometric morphometrics. Orthod Craniofac Res, 2009, 12: 271-281？？
[65]
62 Hammond P, Hutton T J, Allanson J E, et al. 3D analysis of facial morphology. Am J Med Genet A, 2004, 126: 339-348
[66]
63 Maal T J, van Looon B, Plooij J M, et al. Registration of 3-dimensional facial photographs for clinical use. J Oral Maxillofac Surg, 2010, 68: 2391-2401？？
[67]
64 Wan J, Shen L, Fang S, et al. A framework for 3D analysis of facial morphology in fetal alcohol syndrome. MIAR''10 Proceedings of the 5th international conference on Medical imaging and augmented reality Pages, 2010, 118-127
[68]
65 Guo J, Mei X, Tang K. Automatic landmark annotation and dense correspondence registration for 3D human face images, arXiv:1212.4920
[69]
66 Bhuiyan Z A, Klein M, Hammond P, et al. Genotype-phenotype correlations of 39 patients with Cornelia De Lange syndrome: the Dutch experience. J Med Genet, 2006, 43: 568-575
[70]
67 Hammond P, Hannes F, Suttie M, et al. Fine-grained facial phenotype-genotype analysis in Wolf-Hirschhorn syndrome. Eur J Hum Genet, 2012, 20: 33-40？？
[71]
68 Hammond P, Hutton T J, Allanson J, et al. 3D dense surface models identify the most discriminating facial features in dysmorphic syndromes. 54th Annual Meeting of the American Society for Human Genetics, Toronto, Canada, 2004, 1
[72]
69 Hutton T J, Buxton B F, Hammond P, et al. Estimating average growth trajectories in shape-space using kernel smoothing. Medical Imaging, IEEE Transactions on, 2003, 22: 747-753？？
[73]
70 Hammond P, Hutton T J, Allanson J E, et al. Discriminating power of localized three-dimensional facial morphology. Am J Hum Genet, 2005, 77: 999-1010？？
[74]
71 Hammond P, Forster-Gibson C, Chudley A E, et al. Face-brain asymmetry in autism spectrum disorders. Mol psychiatry, 2008, 13: 614-623？？
[75]
72 Kasperavi？iūtè D, Catarino C B, Chinthapalli K, et al. Uncovering genomic causes of co-morbidity in epilepsy: gene-driven phenotypic characterization of rare microdeletions. PLoS ONE, 2011, 6: e23182？？
[76]
73 Han J D. Understanding biological functions through molecular networks. Cell Res, 2008, 18: 224-237？？
[77]
74 Yeger-Lotem E, Riva L, Su L J, et al. Bridging high-throughput genetic and transcriptional data reveals cellular responses to alpha-synuclein toxicity. Nat Genet, 2009, 41: 316-323？？
[78]
75 Chen F, Zhang W, Liang Y, et al. Transcriptome and network changes in climbers at extreme altitudes. PLoS One, 2012, 7: e31645？？
[79]
76 Huang J, Liu Y, Zhang W, et al. eResponseNet: a package prioritizing candidate disease genes through cellular pathways. Bioinformatics, 2011, 27: 2319-2320？？
[80]
77 Scher J U, Abramson S B. The microbiome and rheumatoid arthritis. Nat Rev Rheumatol, 2011, 7: 569-578
[81]
78 Stahl E A, Raychaudhuri S, Remmers E F, et al. Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci. Nat Genet, 2010, 42: 508-514？？
[82]
79 Kochi Y, Okada Y, Suzuki A, et al. A regulatory variant in CCR6 is associated with rheumatoid arthritis susceptibility. Nat Genet, 2010, 42: 515-519？？
[83]
80 Liu Y, Zhang C, Zhao L, et al. Adapting functional genomic tools to metagenomic analyses: investigating the role of gut bacteria in relation to obesity. Brief Funct Genomics, 2010, 9: 355-361？？
