18 research outputs found

    The AMT: What’s Wrong and How to Fix It

    Get PDF
    The alternative minimum tax (AMT) is a complex, unfair, and inefficient shadow tax system that threatens to affect 32 million taxpayers by 2010, many of them solidly middle class. Under current law, repealing the AMT without offsets would cost more than 850billionthrough2017.ThispapersummarizesthecurrentandprojectedeffectsoftheAMTandconsidersoptionstonancerepeal.OneattractiveoptionweconsiderwouldbetocombineAMTrepealwithafourpercenttaxonAGIinexcessof850 billion through 2017. This paper summarizes the current and projected effects of the AMT and considers options to finance repeal. One attractive option we consider would be to combine AMT repeal with a four percent tax on AGI in excess of 200,000 for married couples and $100,000 for others

    The AMT: What’s Wrong and How to Fix It

    Get PDF
    The alternative minimum tax (AMT) is a complex, unfair, and inefficient shadow tax system that threatens to affect 32 million taxpayers by 2010, many of them solidly middle class. Under current law, repealing the AMT without offsets would cost more than 850billionthrough2017.ThispapersummarizesthecurrentandprojectedeffectsoftheAMTandconsidersoptionstonancerepeal.OneattractiveoptionweconsiderwouldbetocombineAMTrepealwithafourpercenttaxonAGIinexcessof850 billion through 2017. This paper summarizes the current and projected effects of the AMT and considers options to finance repeal. One attractive option we consider would be to combine AMT repeal with a four percent tax on AGI in excess of 200,000 for married couples and $100,000 for others

    Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin

    Get PDF
    Recent genomic analyses of pathologically-defined tumor types identify “within-a-tissue” disease subtypes. However, the extent to which genomic signatures are shared across tissues is still unclear. We performed an integrative analysis using five genome-wide platforms and one proteomic platform on 3,527 specimens from 12 cancer types, revealing a unified classification into 11 major subtypes. Five subtypes were nearly identical to their tissue-of-origin counterparts, but several distinct cancer types were found to converge into common subtypes. Lung squamous, head & neck, and a subset of bladder cancers coalesced into one subtype typified by TP53 alterations, TP63 amplifications, and high expression of immune and proliferation pathway genes. Of note, bladder cancers split into three pan-cancer subtypes. The multi-platform classification, while correlated with tissue-of-origin, provides independent information for predicting clinical outcomes. All datasets are available for data-mining from a unified resource to support further biological discoveries and insights into novel therapeutic strategies
    corecore