Nicki Tiffin

Summary

Country: South Africa

Publications

  1. ncbi Prioritization of candidate disease genes for metabolic syndrome by computational analysis of its defining phenotypes
    Nicki Tiffin
    Division of Human Genetics, MRC Human Genetics Research Unit, Institute for Infectious Diseases and Molecular Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa
    Physiol Genomics 35:55-64. 2008
  2. ncbi Linking genes to diseases: it's all in the data
    Nicki Tiffin
    MRC UWC SANBI Bioinformatics Capacity Development Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville 7535, South Africa
    Genome Med 1:77. 2009
  3. ncbi Computational analysis of candidate disease genes and variants for salt-sensitive hypertension in indigenous Southern Africans
    Nicki Tiffin
    Division of Nephrology and Hypertension, University of Cape Town Groote Schuur Hospital, Cape Town, South Africa
    PLoS ONE 5:e12989. 2010
  4. ncbi Conceptual thinking for in silico prioritization of candidate disease genes
    Nicki Tiffin
    The South African National Bioinformatics Institute, University of the Western Cape, 7925, Belville, Cape Town, South Africa
    Methods Mol Biol 760:175-87. 2011
  5. ncbi Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes
    Nicki Tiffin
    South African National Bioinformatics Institute, University of the Western Cape, Bellville, 7535, South Africa
    Nucleic Acids Res 34:3067-81. 2006
  6. ncbi Genetic variation at selected SNPs in the leptin gene and association of alleles with markers of kidney disease in a Xhosa population of South Africa
    Ikechi G Okpechi
    Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa
    PLoS ONE 5:e9086. 2010
  7. ncbi Integration of text- and data-mining using ontologies successfully selects disease gene candidates
    Nicki Tiffin
    South African National Bioinformatics Institute, University of the Western Cape Belville 7535, South Africa
    Nucleic Acids Res 33:1544-52. 2005
  8. ncbi Computational selection and prioritization of candidate genes for fetal alcohol syndrome
    Zane Lombard
    Division of Human Genetics, National Health Laboratory Service and School of Pathology, University of the Witwatersrand, Johannesburg, 2001, South Africa
    BMC Genomics 8:389. 2007

Detail Information

Publications8

  1. ncbi Prioritization of candidate disease genes for metabolic syndrome by computational analysis of its defining phenotypes
    Nicki Tiffin
    Division of Human Genetics, MRC Human Genetics Research Unit, Institute for Infectious Diseases and Molecular Medicine, Groote Schuur Hospital, University of Cape Town, Cape Town, South Africa
    Physiol Genomics 35:55-64. 2008
    ..We propose here that information about the clinical presentation of a complex trait can be used to effectively inform computational prioritization of disease-causing genes for that trait...
  2. ncbi Linking genes to diseases: it's all in the data
    Nicki Tiffin
    MRC UWC SANBI Bioinformatics Capacity Development Unit, South African National Bioinformatics Institute, University of the Western Cape, Bellville 7535, South Africa
    Genome Med 1:77. 2009
    ..In the near future, computational strategies will be facilitated by improved integration of clinical and computational research, and by increased availability of clinical phenotype data in a format accessible to computational approaches...
  3. ncbi Computational analysis of candidate disease genes and variants for salt-sensitive hypertension in indigenous Southern Africans
    Nicki Tiffin
    Division of Nephrology and Hypertension, University of Cape Town Groote Schuur Hospital, Cape Town, South Africa
    PLoS ONE 5:e12989. 2010
    ..We propose that the candidate genes identified in this study warrant further investigation as potential aetiological genes for salt-sensitive hypertension...
  4. ncbi Conceptual thinking for in silico prioritization of candidate disease genes
    Nicki Tiffin
    The South African National Bioinformatics Institute, University of the Western Cape, 7925, Belville, Cape Town, South Africa
    Methods Mol Biol 760:175-87. 2011
    ....
  5. ncbi Computational disease gene identification: a concert of methods prioritizes type 2 diabetes and obesity candidate genes
    Nicki Tiffin
    South African National Bioinformatics Institute, University of the Western Cape, Bellville, 7535, South Africa
    Nucleic Acids Res 34:3067-81. 2006
    ..Two genes, LPL and BCKDHA, are common to these two sets. We also present a set of secondary candidates for T2D (94 genes) and for obesity (116 genes) with 58 genes in common to both diseases...
  6. ncbi Genetic variation at selected SNPs in the leptin gene and association of alleles with markers of kidney disease in a Xhosa population of South Africa
    Ikechi G Okpechi
    Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa
    PLoS ONE 5:e9086. 2010
    ..A number of clinical and experimental studies have suggested a link between serum leptin and kidney disease. We hypothesised that variants in the leptin gene (LEP) may be associated with markers of CKD in indigenous black Africans...
  7. ncbi Integration of text- and data-mining using ontologies successfully selects disease gene candidates
    Nicki Tiffin
    South African National Bioinformatics Institute, University of the Western Cape Belville 7535, South Africa
    Nucleic Acids Res 33:1544-52. 2005
    ....
  8. ncbi Computational selection and prioritization of candidate genes for fetal alcohol syndrome
    Zane Lombard
    Division of Human Genetics, National Health Laboratory Service and School of Pathology, University of the Witwatersrand, Johannesburg, 2001, South Africa
    BMC Genomics 8:389. 2007
    ..No genome-wide association or linkage studies have been performed for FAS, making computational selection and -prioritization of candidate disease genes an attractive approach...