Alexander F Wilson

Summary

Affiliation: National Institutes of Health
Country: USA

Publications

  1. ncbi Comparison of results from tests of association in unrelated individuals with uncollapsed and collapsed sequence variants using tiled regression
    Heejong Sung
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA
    BMC Proc 5:S15. 2011
  2. ncbi Allele frequency misspecification: effect on power and Type I error of model-dependent linkage analysis of quantitative traits under random ascertainment
    Diptasri M Mandal
    Department of Genetics, Louisiana State University Health Sciences Center, CSRB 6 16, New Orleans, LA 70112, USA
    BMC Genet 7:21. 2006
  3. ncbi Critical values and variation in type I error along chromosomes in the COGA dataset using the applied pseudo-trait method
    George J Papanicolaou
    Genometrics Section, Inherited Disease Research Branch, NHGRI NIH, Baltimore, MD, USA
    BMC Genet 6:S54. 2005
  4. ncbi A graphical assessment of p-values from sliding window haplotype tests of association to identify asthma susceptibility loci on chromosome 11q
    Rasika A Mathias
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Balitmore, USA
    BMC Genet 7:38. 2006
  5. ncbi Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data
    Marie Hélène Roy-Gagnon
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, 333 Cassell Dr, Baltimore, Maryland 21224, USA
    BMC Genet 6:S56. 2005
  6. ncbi Lessons learned from Genetic Analysis Workshop 17: transitioning from genome-wide association studies to whole-genome statistical genetic analysis
    Alexander F Wilson
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21224, USA
    Genet Epidemiol 35:S107-14. 2011
  7. ncbi A combined genome-wide linkage and association approach to find susceptibility loci for platelet function phenotypes in European American and African American families with coronary artery disease
    Rasika A Mathias
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
    BMC Med Genomics 3:22. 2010
  8. ncbi Performance of random forests and logic regression methods using mini-exome sequence data
    Yoonhee Kim
    Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21224, USA
    BMC Proc 5:S104. 2011
  9. ncbi The robustness of generalized estimating equations for association tests in extended family data
    Bhoom Suktitipat
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21205, USA
    Hum Hered 74:17-26. 2012
  10. ncbi Old lessons learned anew: family-based methods for detecting genes responsible for quantitative and qualitative traits in the Genetic Analysis Workshop 17 mini-exome sequence data
    Claire L Simpson
    Statistical Genetics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive, 333 Cassell Drive Suite 1200, Baltimore, MD 21224, USA
    BMC Proc 5:S83. 2011

Collaborators

Detail Information

Publications14

  1. ncbi Comparison of results from tests of association in unrelated individuals with uncollapsed and collapsed sequence variants using tiled regression
    Heejong Sung
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, 333 Cassell Drive, Baltimore, MD 21224, USA
    BMC Proc 5:S15. 2011
    ..However, for traditional simple linear regression, the average estimated type I error is dependent on the trait and varies by about three orders of magnitude. The estimated type I error rate is stable for tiled regression across traits...
  2. ncbi Allele frequency misspecification: effect on power and Type I error of model-dependent linkage analysis of quantitative traits under random ascertainment
    Diptasri M Mandal
    Department of Genetics, Louisiana State University Health Sciences Center, CSRB 6 16, New Orleans, LA 70112, USA
    BMC Genet 7:21. 2006
    ....
  3. ncbi Critical values and variation in type I error along chromosomes in the COGA dataset using the applied pseudo-trait method
    George J Papanicolaou
    Genometrics Section, Inherited Disease Research Branch, NHGRI NIH, Baltimore, MD, USA
    BMC Genet 6:S54. 2005
    ..In addition, the anecdotal observation that p-values tend to be more significant near the telomeres was investigated...
  4. ncbi A graphical assessment of p-values from sliding window haplotype tests of association to identify asthma susceptibility loci on chromosome 11q
    Rasika A Mathias
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Balitmore, USA
    BMC Genet 7:38. 2006
    ..While efficient in screening a region of dense genotyping, this approach does create some problems: high numbers of tests, assimilating thousands of results, and questions about setting priorities on regions with association signals...
  5. ncbi Application of the regression of offspring on mid-parent method to detect associations between single-nucleotide polymorphisms and the beta 2 electroencephalogram phenotype in the COGA data
    Marie Hélène Roy-Gagnon
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, 333 Cassell Dr, Baltimore, Maryland 21224, USA
    BMC Genet 6:S56. 2005
    ..Significant associations at the 0.0005 level, some of which were parent-specific, were found on chromosomes 1, 2, 5, 6, 7, 8, 11, 12, 15, 16, 17, 18, and 19 with heritability attributable to each SNP ranging from 0.01 to 8%...
  6. ncbi Lessons learned from Genetic Analysis Workshop 17: transitioning from genome-wide association studies to whole-genome statistical genetic analysis
    Alexander F Wilson
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21224, USA
    Genet Epidemiol 35:S107-14. 2011
    ..It seems likely that this inflation in type I error is due to correlations among SVs...
  7. ncbi A combined genome-wide linkage and association approach to find susceptibility loci for platelet function phenotypes in European American and African American families with coronary artery disease
    Rasika A Mathias
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD, USA
    BMC Med Genomics 3:22. 2010
    ..In this study, we leverage independent information from genome-wide linkage and association data to determine loci controlling platelet phenotypes before and after treatment with ASA...
  8. ncbi Performance of random forests and logic regression methods using mini-exome sequence data
    Yoonhee Kim
    Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21224, USA
    BMC Proc 5:S104. 2011
    ..Logic regression performed better when rare variants were collapsed based on genes rather than on pathways...
  9. ncbi The robustness of generalized estimating equations for association tests in extended family data
    Bhoom Suktitipat
    Genometrics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21205, USA
    Hum Hered 74:17-26. 2012
    ....
  10. ncbi Old lessons learned anew: family-based methods for detecting genes responsible for quantitative and qualitative traits in the Genetic Analysis Workshop 17 mini-exome sequence data
    Claire L Simpson
    Statistical Genetics Section, Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, 31 Center Drive, 333 Cassell Drive Suite 1200, Baltimore, MD 21224, USA
    BMC Proc 5:S83. 2011
    ..The family-based tests of association found the same major loci as the linkage analyses and detected low-frequency loci with moderate effect sizes, but control of type I error was not as stringent...
  11. ncbi Identification of susceptibility loci for scoliosis in FIS families with triple curves
    Beth Marosy
    Department of Orthopaedic Surgery, Institute of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
    Am J Med Genet A 152:846-55. 2010
    ..These regions have been previously linked to FIS, however, this is the first time these regions have been implicated in a clinically well-defined subgroup and may suggest a unique genetic etiology for the formation of a triple curve...
  12. ncbi A genome-wide association study identifies susceptibility loci for nonsyndromic sagittal craniosynostosis near BMP2 and within BBS9
    Cristina M Justice
    Genometrics Section, Inherited Disease Research Branch, Division of Intramural Research, National Human Genome Research Institute, US National Institutes of Health NIH, Baltimore, MD, USA
    Nat Genet 44:1360-4. 2012
    ..Both BMP2 and BBS9 are genes with roles in skeletal development that warrant functional studies to further understand the etiology of sNSC...
  13. ncbi Linkage analysis in the next-generation sequencing era
    Joan E Bailey-Wilson
    Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, MD 21224, USA
    Hum Hered 72:228-36. 2011
    ..A brief review of linkage methods is presented here with examples of their relevance and usefulness for the interpretation of whole-exome and whole-genome sequence data...
  14. ncbi Genome-wide linkage analysis of multiple metabolic factors: evidence of genetic heterogeneity
    Ching Yu Cheng
    Inherited Disease Research Branch, National Human Genome Research Institute, National Institutes of Health, Baltimore, Maryland, USA
    Obesity (Silver Spring) 18:146-52. 2010
    ..We found evidence of genetic heterogeneity by FHD for the three metabolic factors. The results also confirmed findings of previous studies that mapped components of the metabolic syndrome to a chromosome 1q region...