Methodology for single nucleotide polymorphism selection in promoter regions for clinical use. An example of its applicability

Carregando...
Imagem de Miniatura
Citações na Scopus
2
Tipo de produção
article
Data de publicação
2016
Título da Revista
ISSN da Revista
Título do Volume
Editora
E-CENTURY PUBLISHING CORP
Autores
MARQUES, Herlander
FREITAS, Jose
MEDEIROS, Rui
LONGATTO-FILHO, Adhemar
Citação
INTERNATIONAL JOURNAL OF MOLECULAR EPIDEMIOLOGY AND GENETICS, v.7, n.3, p.126-0, 2016
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Genetic variability in humans can explain many differences in disease risk factors. Polymorphism-related studies focus mainly on the single nucleotide polymorphisms (SNPs) of coding regions of the genes. SNPs on DNA binding motifs of the promoter region have been less explored. On a recent study of SNPs in patients with non-Hodgkin lymphomas we faced the problem of SNP selection from promoter regions and developed a practical methodology for clinical studies. The process consists in identifying SNPs in the coding and promoter regions of the antigen-processing system using the 'dbSNP' database. With the 'HapMap' program, we select SNPs with frequencies >20% in Caucasian populations. For coding regions, we sought biologically and clinically relevant SNPs described in the literature. For the promoter regions, we determined their chromosomal location on 'QiagenSABioscience' site database. The nucleotide sequence of ancestral and variant alleles is available in the 'dbSNP'. These sequences were used in ` Promoter TESS' to determine binding differences of transcription factors. Each sequence may have affinity to different TFs. Thus, SNP selection on the promoter regions was based in the differences on TF binding pattern between the old and the new allele. The potential clinical relevance of the new TFs was also evaluated before the final selection. With this approach, we found that almost half of the relevant SNP fall within the promoter region. In conclusion, we were able to develop a methodology of oriented selection of promoter regions of human genes, comparing the TF with affinity to the ancestral allele with the TF to a variant allele. We selected those SNPs that change the TF's affinity to a pattern with functional significance.
Palavras-chave
Genetic polymorphism, SNP, DNA binding motifs, promoter region, coding region, dbSNP, HapMap, Promoter TESS
Referências
  1. Bryne JC, 2008, NUCLEIC ACIDS RES, V36, pD102, DOI 10.1093/nar/gkm955
  2. D'Haeseleer P, 2006, NAT BIOTECHNOL, V4, P243
  3. Flores C, 2004, EUR J HUM GENET, V12, P855, DOI 10.1038/sj.ejhg.5201225
  4. Han XS, 2010, AM J HEMATOL, V85, P51, DOI 10.1002/ajh.21580
  5. Kel AE, 2003, NUCLEIC ACIDS RES, V31, P3576, DOI 10.1093/nar/gkg585
  6. Lahdesmaki H, 2008, PLOS ONE, V3, DOI 10.1371/journal.pone.0001820
  7. Liu J, 2009, PROGR NATURAL SCI, V1, P1, DOI 10.1371/J0URNAL.PBI0.1000139
  8. Maher B, 2012, NATURE, V489, P46
  9. Maston GA, 2006, ANNU REV GENOM HUM G, V7, P29, DOI 10.1146/annurev.genom.7.080505.115623
  10. McDermott DH, 1998, LANCET, V352, P866, DOI 10.1016/S0140-6736(98)04158-0
  11. Michal L, 2008, PLOS GENET, V4, DOI 10.1371/journal.pgen.1000018
  12. Nasr AS, 2012, J CANCER RES THER, V8, P355, DOI 10.4103/0973-1482.103512
  13. Pereira L, 2005, GENOME RES, V15, P19, DOI 10.1101/gr.3182305
  14. Purdue MP, 2007, CARCINOGENESIS, V28, P704, DOI 10.1093/carcin/bgl200
  15. Rockman MV, 2002, MOL BIOL EVOL, V19, P1991
  16. Rothman N, 2006, LANCET ONCOL, V7, P27, DOI 10.1016/S1470-2045(05)70434-4
  17. Safran M, 2010, DATABASE-OXFORD, V2010, DOI 10.1093/DATABASE/BAQ020
  18. Sarmanova J, 2001, HUM MOL GENET, V10, P1265, DOI 10.1093/hmg/10.12.1265
  19. Schug J., 2008, CURR PROTOC BIOINFOR
  20. Shen M, 2007, HAEMATOL-HEMATOL J, V92, P1180, DOI 10.3324/haematol.11324
  21. Veerla S, 2010, BMC GENOMICS, V11, DOI 10.1186/1471-2164-11-145
  22. Wingender E, 1996, NUCLEIC ACIDS RES, V24, P238, DOI 10.1093/nar/24.1.238