First Header Logo Second Header Logo

Connection

Michael Olivier to Linkage Disequilibrium

This is a "connection" page, showing publications Michael Olivier has written about Linkage Disequilibrium.
Connection Strength

0.309
  1. Martin LJ, Kissebah AH, Olivier M. Accounting for a quantitative trait locus for plasma triglyceride levels: utilization of variants in multiple genes. PLoS One. 2012; 7(4):e34614.
    View in: PubMed
    Score: 0.100
  2. Olivier M, Hsiung CA, Chuang LM, Ho LT, Ting CT, Bustos VI, Lee TM, De Witte A, Chen YD, Olshen R, Rodriguez B, Wen CC, Cox DR. Single nucleotide polymorphisms in protein tyrosine phosphatase 1beta (PTPN1) are associated with essential hypertension and obesity. Hum Mol Genet. 2004 Sep 01; 13(17):1885-92.
    View in: PubMed
    Score: 0.058
  3. Olivier M, Wang X, Cole R, Gau B, Kim J, Rubin EM, Pennacchio LA. Haplotype analysis of the apolipoprotein gene cluster on human chromosome 11. Genomics. 2004 May; 83(5):912-23.
    View in: PubMed
    Score: 0.058
  4. Olivier M. A haplotype map of the human genome. Physiol Genomics. 2003 Mar 18; 13(1):3-9.
    View in: PubMed
    Score: 0.053
  5. Baessler A, Hasinoff MJ, Fischer M, Reinhard W, Sonnenberg GE, Olivier M, Erdmann J, Schunkert H, Doering A, Jacob HJ, Comuzzie AG, Kissebah AH, Kwitek AE. Genetic linkage and association of the growth hormone secretagogue receptor (ghrelin receptor) gene in human obesity. Diabetes. 2005 Jan; 54(1):259-67.
    View in: PubMed
    Score: 0.015
  6. Pennacchio LA, Olivier M, Hubacek JA, Krauss RM, Rubin EM, Cohen JC. Two independent apolipoprotein A5 haplotypes influence human plasma triglyceride levels. Hum Mol Genet. 2002 Nov 15; 11(24):3031-8.
    View in: PubMed
    Score: 0.013
  7. Talmud PJ, Hawe E, Martin S, Olivier M, Miller GJ, Rubin EM, Pennacchio LA, Humphries SE. Relative contribution of variation within the APOC3/A4/A5 gene cluster in determining plasma triglycerides. Hum Mol Genet. 2002 Nov 15; 11(24):3039-46.
    View in: PubMed
    Score: 0.013
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.