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  1. Article

    Open Access

    Genetic analysis of maximum cigarette-use phenotypes

    Using the Framingham Heart Study data set provided for Genetic Analysis Workshop 13, we defined the cigarette-use phenotype M for smokers to be the maximum number of cigarettes-per-day (MAXCIG) reported over the ...

    Nancy L Saccone, Rosalind J Neuman, Scott F Saccone, John P Rice in BMC Genetics (2003)

  2. Article

    Open Access

    Genetic analysis of the maximum drinks phenotype

    Using data provided by the Collaborative Study on the Genetics of Alcoholism we studied the genetics of a quantitative trait: the maximum number of drinks consumed in a 24-hour period. A two-stage method was u...

    Scott F Saccone, Nancy L Saccone, Rosalind J Neuman, John P Rice in BMC Genetics (2005)

  3. Article

    Open Access

    In search of causal variants: refining disease association signals using cross-population contrasts

    Genome-wide association (GWA) using large numbers of single nucleotide polymorphisms (SNPs) is now a powerful, state-of-the-art approach to map** human disease genes. When a GWA study detects association bet...

    Nancy L Saccone, Scott F Saccone, Alison M Goate, Richard A Grucza in BMC Genetics (2008)

  4. Article

    Open Access

    Modeling complex genetic and environmental influences on comorbid bipolar disorder with tobacco use disorder

    Comorbidity of psychiatric and substance use disorders represents a significant complication in the clinical course of both disorders. Bipolar Disorder (BD) is a psychiatric disorder characterized by severe mo...

    Richard C McEachin, Nancy L Saccone, Scott F Saccone in BMC Medical Genetics (2010)

  5. Article

    Open Access

    A genetic network model of cellular responses to lithium treatment and cocaine abuse in bipolar disorder

    Lithium is an effective treatment for Bipolar Disorder (BD) and significantly reduces suicide risk, though the molecular basis of lithium's effectiveness is not well understood. We seek to improve our understa...

    Richard C McEachin, Haiming Chen, Maureen A Sartor, Scott F Saccone in BMC Systems Biology (2010)

  6. Article

    Open Access

    A ν-support vector regression based approach for predicting imputation quality

    Decades of genome-wide association studies (GWAS) have accumulated large volumes of genomic data that can potentially be reused to increase statistical power of new studies, but different genoty** platforms ...

    Yi-Hung Huang, John P Rice, Scott F Saccone, José Luis Ambite in BMC Proceedings (2012)