Literature DB >> 27766139

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

Herlander Marques1, José Freitas2, Rui Medeiros3, Adhemar Longatto-Filho4.   

Abstract

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.

Entities:  

Keywords:  DNA binding motifs; Genetic polymorphism; HapMap; Promoter TESS; SNP; coding region; dbSNP; promoter region

Year:  2016        PMID: 27766139      PMCID: PMC5069276     

Source DB:  PubMed          Journal:  Int J Mol Epidemiol Genet        ISSN: 1948-1756


  21 in total

1.  Reduced genetic structure of the Iberian peninsula revealed by Y-chromosome analysis: implications for population demography.

Authors:  Carlos Flores; Nicole Maca-Meyer; Ana M González; Peter J Oefner; Peidong Shen; Jose A Pérez; Antonio Rojas; Jose M Larruga; Peter A Underhill
Journal:  Eur J Hum Genet       Date:  2004-10       Impact factor: 4.246

Review 2.  Transcriptional regulatory elements in the human genome.

Authors:  Glenn A Maston; Sara K Evans; Michael R Green
Journal:  Annu Rev Genomics Hum Genet       Date:  2006       Impact factor: 8.929

3.  Using TESS to predict transcription factor binding sites in DNA sequence.

Authors:  Jonathan Schug
Journal:  Curr Protoc Bioinformatics       Date:  2008-03

4.  Genetic polymorphisms in the metabolic pathway and non-Hodgkin lymphoma survival.

Authors:  Xuesong Han; Tongzhang Zheng; Francine M Foss; Qing Lan; Theodore R Holford; Nathaniel Rothman; Shuangge Ma; Yawei Zhang
Journal:  Am J Hematol       Date:  2010-01       Impact factor: 10.047

5.  Abundant raw material for cis-regulatory evolution in humans.

Authors:  Matthew V Rockman; Gregory A Wray
Journal:  Mol Biol Evol       Date:  2002-11       Impact factor: 16.240

6.  TRANSFAC: a database on transcription factors and their DNA binding sites.

Authors:  E Wingender; P Dietze; H Karas; R Knüppel
Journal:  Nucleic Acids Res       Date:  1996-01-01       Impact factor: 16.971

7.  DNA repair gene XRCC1 polymorphisms and non-Hodgkin lymphoma risk in a Chinese population.

Authors:  Jie Liu; Bao Song; Zhehai Wang; Xianrang Song; Yan Shi; Jingsong Zheng; Jinxiang Han
Journal:  Cancer Genet Cytogenet       Date:  2009-06

8.  GeneCards Version 3: the human gene integrator.

Authors:  Marilyn Safran; Irina Dalah; Justin Alexander; Naomi Rosen; Tsippi Iny Stein; Michael Shmoish; Noam Nativ; Iris Bahir; Tirza Doniger; Hagit Krug; Alexandra Sirota-Madi; Tsviya Olender; Yaron Golan; Gil Stelzer; Arye Harel; Doron Lancet
Journal:  Database (Oxford)       Date:  2010-08-05       Impact factor: 3.451

9.  CCR5 promoter polymorphism and HIV-1 disease progression. Multicenter AIDS Cohort Study (MACS).

Authors:  D H McDermott; P A Zimmerman; F Guignard; C A Kleeberger; S F Leitman; P M Murphy
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

10.  JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update.

Authors:  Jan Christian Bryne; Eivind Valen; Man-Hung Eric Tang; Troels Marstrand; Ole Winther; Isabelle da Piedade; Anders Krogh; Boris Lenhard; Albin Sandelin
Journal:  Nucleic Acids Res       Date:  2007-11-15       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.