Clinical phenome scanning

被引:10
作者
Ghebranious, Nader [1 ]
McCarty, Catherine A.
Wilke, Russell A.
机构
[1] Marshfield Clin Fdn Med Res & Educ, Mol Diagnost Genotyping Lab, Marshfield, WI 54449 USA
[2] Marshfield Clin Res Fdn, Ctr Human Genet, Marshfield, WI USA
[3] Marshfield Clin Fdn Med Res & Educ, Dept Internal Med, Marshfield, WI USA
关键词
biobank; clinical phenome scan; common diseases; DNA; phenomic markers; pleiotropy;
D O I
10.2217/17410541.4.2.175
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Large population-based cohorts are ideal for the study of common, complex disorders because they allow characterization of gene-gene and gene-environment interactions. We propose a clinical phenome scanning approach to genotype-phenotype association studies, as this approach acknowledges the heterogeneous nature of common diseases and takes advantage of the unprecedented density of phenotypic data available in population-based DNA biobanks. By analogy to genome-wide scanning, the construction of a clinical phenome scan includes a complete scan of all clinically available information (housed in electronic medical records). This is done on a subject-by-subject basis and the resulting phenomes can subsequently be interrogated for association with a single allele for any given gene. By prioritizing phenotype (rather than genotype), this approach allows investigators to ask the question "Which disease is associated with a given gene?" rather than "Which gene is associated with a given disease?".
引用
收藏
页码:175 / 182
页数:8
相关论文
共 17 条
  • [1] A haplotype map of the human genome
    Altshuler, D
    Brooks, LD
    Chakravarti, A
    Collins, FS
    Daly, MJ
    Donnelly, P
    Gibbs, RA
    Belmont, JW
    Boudreau, A
    Leal, SM
    Hardenbol, P
    Pasternak, S
    Wheeler, DA
    Willis, TD
    Yu, FL
    Yang, HM
    Zeng, CQ
    Gao, Y
    Hu, HR
    Hu, WT
    Li, CH
    Lin, W
    Liu, SQ
    Pan, H
    Tang, XL
    Wang, J
    Wang, W
    Yu, J
    Zhang, B
    Zhang, QR
    Zhao, HB
    Zhao, H
    Zhou, J
    Gabriel, SB
    Barry, R
    Blumenstiel, B
    Camargo, A
    Defelice, M
    Faggart, M
    Goyette, M
    Gupta, S
    Moore, J
    Nguyen, H
    Onofrio, RC
    Parkin, M
    Roy, J
    Stahl, E
    Winchester, E
    Ziaugra, L
    Shen, Y
    [J]. NATURE, 2005, 437 (7063) : 1299 - 1320
  • [2] Recognition of patients with cardiovascular disease by artificial neural networks
    Baldassarre, D
    Grossi, E
    Buscema, M
    Intraligi, M
    Amato, M
    Tremoli, E
    Pustina, L
    Castelnuovo, S
    Sanvito, S
    Gerosa, L
    Sirtori, CR
    [J]. ANNALS OF MEDICINE, 2004, 36 (08) : 630 - 640
  • [3] Genetic variation and willingness to participate in epidemiologic research: Data from three studies
    Bhatti, P
    Sigurdson, AJ
    Wang, SS
    Chen, JB
    Rothman, N
    Hartge, P
    Bergen, AW
    Landi, MT
    [J]. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2005, 14 (10) : 2449 - 2453
  • [4] A vision for the future of genomics research
    Collins, FS
    Green, ED
    Guttmacher, AE
    Guyer, MS
    [J]. NATURE, 2003, 422 (6934) : 835 - 847
  • [5] Davis Robert L, 2005, Per Med, V2, P1, DOI 10.1517/17410541.2.1.1
  • [6] Risk factors for coronary artery disease and the use of neural networks to predict the presence or absence of high blood pressure
    Falk, CT
    [J]. BMC GENETICS, 2003, 4 (Suppl 1)
  • [7] The Human Phenome Project
    Freimer, N
    Sabatti, C
    [J]. NATURE GENETICS, 2003, 34 (01) : 15 - 21
  • [8] FREUDENBERG J, 2002, IN SILICO BIOL, V3, P339
  • [9] The search for genenotype/phenotype associations and the phenome scan
    Jones, R
    Pembrey, M
    Golding, J
    Herrick, D
    [J]. PAEDIATRIC AND PERINATAL EPIDEMIOLOGY, 2005, 19 (04) : 264 - 275
  • [10] A human phenome-interactome network of protein complexes implicated in genetic disorders
    Lage, Kasper
    Karlberg, E. Olof
    Storling, Zenia M.
    Olason, Pall I.
    Pedersen, Anders G.
    Rigina, Olga
    Hinsby, Anders M.
    Tumer, Zeynep
    Pociot, Flemming
    Tommerup, Niels
    Moreau, Yves
    Brunak, Soren
    [J]. NATURE BIOTECHNOLOGY, 2007, 25 (03) : 309 - 316