Aldi T Kraja

Summary

Affiliation: Washington University School of Medicine
Country: USA

Publications

  1. ncbi Genetic Analysis of 16 NMR-Lipoprotein Fractions in Humans, the GOLDN Study
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, 4444 Forest Park Ave, Campus Box 8506, St Louis, MO, 63108, USA
    Lipids 48:155-65. 2013
  2. ncbi Obesity-insulin targeted genes in the 3p26-25 region in human studies and LG/J and SM/J mice
    Aldi T Kraja
    Division of Statistical Genomics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA
    Metabolism 61:1129-41. 2012
  3. ncbi Detecting disease rare alleles using single SNPs in families and haplotyping in unrelated subjects from the Genetic Analysis Workshop 17 data
    Aldi T Kraja
    Division of Statistical Genomics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, 4444 Forest Park Boulevard, St, Louis, MO 63110, USA
    BMC Proc 5:S96. 2011
  4. ncbi Association of sICAM-1 and MCP-1 with coronary artery calcification in families enriched for coronary heart disease or hypertension: the NHLBI Family Heart Study
    Weihong Tang
    Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
    BMC Cardiovasc Disord 7:30. 2007
  5. ncbi The Genetic Analysis Workshop 16 Problem 3: simulation of heritable longitudinal cardiovascular phenotypes based on actual genome-wide single-nucleotide polymorphisms in the Framingham Heart Study
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, 4444 Forest Park Boulevard, Campus Box 8506, St, Louis, Missouri 63108, USA
    BMC Proc 3:S4. 2009
  6. ncbi Genetics of hypertension and cardiovascular disease and their interconnected pathways: lessons from large studies
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, 4444 Forest Park Avenue, St Louis, MO 63108, USA
    Curr Hypertens Rep 13:46-54. 2011
  7. ncbi QTLs of factors of the metabolic syndrome and echocardiographic phenotypes: the hypertension genetic epidemiology network study
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, MO, USA
    BMC Med Genet 9:103. 2008
  8. ncbi A bivariate genome-wide approach to metabolic syndrome: STAMPEED consortium
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, Missouri, USA
    Diabetes 60:1329-39. 2011
  9. ncbi Trends in metabolic syndrome and gene networks in human and rodent models
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, 4444 Forest Park Blvd, Campus Box 8506, Saint Louis, MO 63110, USA
    Endocr Metab Immune Disord Drug Targets 8:198-207. 2008
  10. ncbi Fenofibrate and metabolic syndrome
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, 4444 Forest Park Ave, Campus Box 8506, St Louis, MO 63110, USA
    Endocr Metab Immune Disord Drug Targets 10:138-48. 2010

Detail Information

Publications23

  1. ncbi Genetic Analysis of 16 NMR-Lipoprotein Fractions in Humans, the GOLDN Study
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, 4444 Forest Park Ave, Campus Box 8506, St Louis, MO, 63108, USA
    Lipids 48:155-65. 2013
    ..Thus, further investigation is needed...
  2. ncbi Obesity-insulin targeted genes in the 3p26-25 region in human studies and LG/J and SM/J mice
    Aldi T Kraja
    Division of Statistical Genomics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St Louis, MO 63110, USA
    Metabolism 61:1129-41. 2012
    ..Several of the candidate genes have functions in the brain. Their interaction with MetS and the brain warrants further investigation...
  3. ncbi Detecting disease rare alleles using single SNPs in families and haplotyping in unrelated subjects from the Genetic Analysis Workshop 17 data
    Aldi T Kraja
    Division of Statistical Genomics, Center for Genome Sciences and Systems Biology, Washington University School of Medicine, 4444 Forest Park Boulevard, St, Louis, MO 63110, USA
    BMC Proc 5:S96. 2011
    ..We conclude that these findings reflect inadequate statistical power (the result of small simulated samples) for the complex genetic model that underlies these data...
  4. ncbi Association of sICAM-1 and MCP-1 with coronary artery calcification in families enriched for coronary heart disease or hypertension: the NHLBI Family Heart Study
    Weihong Tang
    Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
    BMC Cardiovasc Disord 7:30. 2007
    ..In the follow-up exam of the NHLBI Family Heart Study, we evaluated whether plasma levels of sICAM-1 and MCP-1 were associated with coronary artery calcification (CAC), a measure of the burden of coronary atherosclerosis...
  5. ncbi The Genetic Analysis Workshop 16 Problem 3: simulation of heritable longitudinal cardiovascular phenotypes based on actual genome-wide single-nucleotide polymorphisms in the Framingham Heart Study
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, 4444 Forest Park Boulevard, Campus Box 8506, St, Louis, Missouri 63108, USA
    BMC Proc 3:S4. 2009
    ..Smoking was simulated to be commensurate with rates reported by the Centers for Disease Control. Two hundred replications were simulated...
  6. ncbi Genetics of hypertension and cardiovascular disease and their interconnected pathways: lessons from large studies
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, 4444 Forest Park Avenue, St Louis, MO 63108, USA
    Curr Hypertens Rep 13:46-54. 2011
    ..A systemic approach to full understanding of BP/HT and CVD development and their progression to disease may lead to the identification of gene targets and pathways for the development of novel therapeutic interventions...
  7. ncbi QTLs of factors of the metabolic syndrome and echocardiographic phenotypes: the hypertension genetic epidemiology network study
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, MO, USA
    BMC Med Genet 9:103. 2008
    ....
  8. ncbi A bivariate genome-wide approach to metabolic syndrome: STAMPEED consortium
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, Missouri, USA
    Diabetes 60:1329-39. 2011
    ..4% of systolic blood pressure. CONCLUSIONS Qualitative and quantitative pleiotropic tests on pairs of traits indicate that a small portion of the covariation in these traits can be explained by the reported common genetic variants...
  9. ncbi Trends in metabolic syndrome and gene networks in human and rodent models
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, 4444 Forest Park Blvd, Campus Box 8506, Saint Louis, MO 63110, USA
    Endocr Metab Immune Disord Drug Targets 8:198-207. 2008
    ..Our results justify the existence of MetS as a meaningful syndrome and suggest that a better understanding of its etiology can benefit the health of human kind...
  10. ncbi Fenofibrate and metabolic syndrome
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, 4444 Forest Park Ave, Campus Box 8506, St Louis, MO 63110, USA
    Endocr Metab Immune Disord Drug Targets 10:138-48. 2010
    ..However, more work is needed to specifically identify which individuals derive a benefit from FF administration in terms of clinical outcomes and which do not - particularly in the context of type 2 diabetes...
  11. ncbi Rheumatoid arthritis, item response theory, Blom transformation, and mixed models
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, Division of Statistical Genomics, 4444 Forest Park Boulevard, Campus Box 8506, St, Louis, Missouri 63110, USA
    BMC Proc 1:S116. 2007
    ..Finer genotyping in the NARAC data would grant more exact evidence for the contributions of chromosome 6 to RA...
  12. ncbi Do inflammation and procoagulation biomarkers contribute to the metabolic syndrome cluster?
    Aldi T Kraja
    Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, MO, USA
    Nutr Metab (Lond) 4:28. 2007
    ..However, the relationship of inflammatory biomarkers to MetS is not clear...
  13. ncbi Two major QTLs and several others relate to factors of metabolic syndrome in the family blood pressure program
    Aldi T Kraja
    Division of Biostatistics, Washington University School of Medicine, St Louis, MO 63123, USA
    Hypertension 46:751-7. 2005
    ..5, and 30 additional ones with lod score >1.7, offer hope for dissecting the genetic architecture of metabolic syndrome with beneficial implications for molecular diagnosis, prognosis, and in potential medical intervention...
  14. ncbi Quantitative trait loci for metabolic syndrome in the Hypertension Genetic Epidemiology Network study
    Aldi T Kraja
    Division of Biostatistics, Washington University School of Medicine, Campus Box 8067, 660 South Euclid Avenue, St Louis, MO 63110 1093, USA
    Obes Res 13:1885-90. 2005
    ..The most promising candidate loci on 11q24 for lipids-INS and 13p12 for obesity-INS in blacks, 8p23 for lipids-INS, 14q24 for obesity-INS, and 15q15 for BP in whites warrant further investigation...
  15. ncbi Factor relationships of metabolic syndrome and echocardiographic phenotypes in the HyperGEN study
    Pinchia Huang
    Division of Biostatistics, Washington University School of Medicine, Saint Louis, MO 63110, USA
    J Hypertens 26:1360-6. 2008
    ..Metabolic syndrome and its risk factors are predictors of cardiovascular events. Metabolic syndrome is also directly associated with echocardiographic phenotypes...
  16. ncbi An investigation of the effects of lipid-lowering medications: genome-wide linkage analysis of lipids in the HyperGEN study
    Jun Wu
    Division of Statistical Genomics, Washington University School of Medicine, Campus Box 8506, 4444 Forest Park Boulevard, Saint Louis, MO 63108, USA
    BMC Genet 8:60. 2007
    ..We propose an empirical method to adjust lipid levels for medication effects so that the adjusted lipid values substitute the unmedicated lipid values in the genetic analysis...
  17. ncbi Genetic effect on blood pressure is modulated by age: the Hypertension Genetic Epidemiology Network Study
    Gang Shi
    Division of Biostatistics, Washington University School of Medicine, Campus Box 8067, 660 S Euclid Ave, St Louis, MO 63110 1093, USA
    Hypertension 53:35-41. 2009
    ..The improved genetic linkage results presented here should help to identify the specific genetic variants that explain the observed results...
  18. ncbi A summary of the effects of antihypertensive medications on measured blood pressure
    Jun Wu
    Division of Biostatistics, Washington University School of Medicine, Saint Louis, Missouri 63110 1093, USA
    Am J Hypertens 18:935-42. 2005
    ..A review of numerous clinical trials that investigated the effects of BP-lowering medications is summarized here...
  19. ncbi Microsatellite linkage analysis, single-nucleotide polymorphisms, and haplotype associations with ECB21 in the COGA data
    Aldi T Kraja
    Division of Biostatistics, Washington University School of Medicine, St Louis, MO, USA
    BMC Genet 6:S94. 2005
    ....
  20. ncbi CANDID: a flexible method for prioritizing candidate genes for complex human traits
    Janna E Hutz
    Division of Statistical Genomics, Washington University School of Medicine, Saint Louis, Missouri, USA
    Genet Epidemiol 32:779-90. 2008
    ..Its accuracy and ease of use make CANDID a highly useful tool in study design and analysis for complex human traits...
  21. ncbi Genetic association analysis of coronary heart disease by profiling gene-environment interaction based on latent components in longitudinal endophenotypes
    C Charles Gu
    Division of Biostatistics, Washington University School of Medicine, 660 South Euclid Avenue, Box 8067, St, Louis, Missouri 63110, USA
    BMC Proc 3:S86. 2009
    ....
  22. ncbi Distance-based phenotypic association analysis of DNA sequence data
    Doyoung Chung
    Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St, Louis, MO 63110, USA
    BMC Proc 5:S54. 2011
    ..In addition, we compared MDMR with Mantel's test and collapsing analysis for rare variants. MDMR performed comparably well even with the Euclidean distance measure...
  23. ncbi Longitudinal trends in the association of metabolic syndrome with 550 k single-nucleotide polymorphisms in the Framingham Heart Study
    Yong Moon Park
    GEMS Training Program, Washington University School of Medicine, 660 South Euclid, St, Louis, Missouri 63110, USA
    BMC Proc 3:S116. 2009
    ..These findings are important in terms of eventually identifying with the causal loci for MetS...