Development of Statistical Genetics Methodology

Bailey-Wilson, Joan E.

Abstract

A major project of this section is the development of newstatistical genetics methodology as prompted by the needs of ourapplied studies. This year Dr. Bailey-Wilson developed severalnew methods. The first, in collaboration with Dr. Gloria Ho, isan extension of the Transmission Disequilibrium Test (TDT) andthe Sibling-Transmission Disequilibrium Test (S-TDT) and thecombined test (C-TDT) to traits that are caused, in whole or inpart, by loci on the X chromosome. This work is in press in theAmerican Journal of Human Genetics. The second project, incollaboration with Dr. Silvano Presciuttina who is on sabbaticalat IDRB from the University of Pisa, is the development of astepwise procedure for using a few genetic markers at each stepto try to differentiate siblings from unrelated individuals. Thismethodology has applications in linkage analysis and inforensics. A manuscript has been submitted for publication. Thethird project, in collaboration with Dr. Jim Malley at CIT, NIH, is the development of a new method for family based associationtests that appears considerably more powerful than the TDT butmore robust to false positives than is case-control association.These projects are ongoing. - statistical genetics methodology, theory, X-linked TDT, stepwise relationship determination

Funding Agency

• Agency: National Institute of Health (NIH)
• Institute: National Human Genome Research Institute (NHGRI)
• Type: Intramural Research (Z01)
• Project #: 1Z01HG000153-01
• Application #: 6227990
• Study Section: Special Emphasis Panel (IDRB)
• Support Year: 1
• Fiscal Year: 1999

Institution

• Name: National Human Genome Research Institute
• Country: United States

Publications

Holzinger, Emily R; Verma, Shefali S; Moore, Carrie B et al. (2017) Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. BioData Min 10:25

Kim, Yoonhee; Doan, Betty Q; Duggal, Priya et al. (2007) Normalization of microarray expression data using within-pedigree pool and its effect on linkage analysis. BMC Proc 1 Suppl 1:S152

NCI-NHGRI Working Group on Replication in Association Studies; Chanock, Stephen J; Manolio, Teri et al. (2007) Replicating genotype-phenotype associations. Nature 447:655-60

Mandal, Diptasri M; Sorant, Alexa J M; Atwood, Larry D et al. (2006) Allele frequency misspecification: effect on power and Type I error of model-dependent linkage analysis of quantitative traits under random ascertainment. BMC Genet 7:21

Manolio, Teri A; Bailey-Wilson, Joan E; Collins, Francis S (2006) Genes, environment and the value of prospective cohort studies. Nat Rev Genet 7:812-20

Marroni, F; Pichler, I; De Grandi, A et al. (2006) Population isolates in South Tyrol and their value for genetic dissection of complex diseases. Ann Hum Genet 70:812-21

Gillanders, E M; Pearson, J V; Sorant, A J M et al. (2006) The value of molecular haplotypes in a family-based linkage study. Am J Hum Genet 79:458-68

Doan, Betty Q; Sorant, Alexa J M; Frangakis, Constantine E et al. (2006) Covariate-based linkage analysis: application of a propensity score as the single covariate consistently improves power to detect linkage. Eur J Hum Genet 14:1018-26

Doan, Betty Q; Frangakis, Constantine E; Shugart, Yin Y et al. (2005) Application of the propensity score in a covariate-based linkage analysis of the Collaborative Study on the Genetics of Alcoholism. BMC Genet 6 Suppl 1:S33

Bailey-Wilson, Joan; Almasy, Laura; de Andrade, Mariza et al. (2005) Genetic Analysis Workshop 14: microsatellite and single-nucleotide polymorphism marker loci for genome-wide scans. BMC Genet 6 Suppl 1:S1