Using high-throughput SNP technologies to study cancer

被引:94
作者
Engle, LJ
Simpson, CL
Landers, JE
机构
[1] Cetek Corp, Marlborough, MA USA
[2] Kings Coll London, Inst Psychiat, London WC2R 2LS, England
[3] Massachusetts Gen Hosp, Day Lab Neuromuscular Res, Charlestown, MA USA
关键词
SNP; polymorphisms; cancer; genotyping;
D O I
10.1038/sj.onc.1209368
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Identifying genes involved in the development of cancer is crucial to fully understanding cancer biology, for developing novel therapeutics for cancer treatment and for providing methods for cancer prevention and early diagnosis. The use of polymorphic markers, in particular single nucleotide polymorphisms ( SNPs), promises to provide a comprehensive tool for analysing the human genome and identifying those genes and genomic regions contributing to the cancer phenotype. This review summarizes the various analytical methodologies in which SNPs are used and presents examples of how each of these methodologies have been used to locate genes and genomic regions of interest for various cancer types. Additionally many of the current SNP-analysing technologies will be reviewed with particular attention paid to the advantages and disadvantages of each and how each technology can be applied to the analysis of the genome for identifying cancer-related genes.
引用
收藏
页码:1594 / 1601
页数:8
相关论文
共 94 条
  • [1] Avi-Itzhak Hadar I, 2003, Pac Symp Biocomput, P466
  • [2] Beyond Mendel: An evolving view of human genetic disease transmission
    Badano, JL
    Katsanis, N
    [J]. NATURE REVIEWS GENETICS, 2002, 3 (10) : 779 - 789
  • [3] Bell PA, 2002, BIOTECHNIQUES, P70
  • [4] BELL PA, 2002, BIOTECHNIQUES S, V32, P76
  • [5] BELL PA, 2002, BIOTECHNIQUES S, V32, P74
  • [6] Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease
    Botstein, D
    Risch, N
    [J]. NATURE GENETICS, 2003, 33 (Suppl 3) : 228 - 237
  • [7] Characterization of single-nucleotide polymorphisms in coding regions of human genes
    Cargill, M
    Altshuler, D
    Ireland, J
    Sklar, P
    Ardlie, K
    Patil, N
    Lane, CR
    Lim, EP
    Kalyanaraman, N
    Nemesh, J
    Ziaugra, L
    Friedland, L
    Rolfe, A
    Warrington, J
    Lipshutz, R
    Daley, GQ
    Lander, ES
    [J]. NATURE GENETICS, 1999, 22 (03) : 231 - 238
  • [8] Carlini LE, 2005, CLIN CANCER RES, V11, P1226
  • [9] Selecting a maximally informative set of single-nucleotide polymorphisms for association analyses using linkage disequilibrium
    Carlson, CS
    Eberle, MA
    Rieder, MJ
    Yi, Q
    Kruglyak, L
    Nickerson, DA
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2004, 74 (01) : 106 - 120
  • [10] One-carbon metabolism, MTHFR polymorphisms, and risk of breast cancer
    Chen, J
    Gammon, MD
    Chan, W
    Palomeque, C
    Wetmur, JG
    Kabat, GC
    Teitelbaum, SL
    Britton, JA
    Terry, MB
    Neugut, AI
    Santella, RM
    [J]. CANCER RESEARCH, 2005, 65 (04) : 1606 - 1614