Business Finance

Tax planning is the process of exploring ways to reduce an individual’s tax liability. It requires careful analysis of an individual’s financial situation coupled with extensive tax research to determine the most efficient way to reduce tax liability. This assignment is designed to prepare you for Project Two by allowing you to select a set of cases to research and identify ways to reduce tax liability. Each case leads you into a particular area of research into tax credits.

Directions
Review the Client Tax Profiles B Descriptions found in the Supporting Materials section below. Each of the five sets of profiles is linked to a tax planning scenario category. Each category provides you with two client scenarios to review. Identify two different categories to compare for this assignment. They are grouped by tax planning category. The categories range from education tax credits to self-employment tax credits. The profiles link directly to each client’s Form 1040. Form 1040 will provide a level of detail that is not called out in the profile alone. Complete the table for both categories you choose. Each category contains information about two different primary taxpayers. You will compare the two clients within each category. Look at the Module Six Assignment Template found in the What to Submit section for a better understanding of how to complete this comparison. Once you complete the comparison table you will select the category that most interests you as the topic for Project Two.

The template contains a table with three parts. Begin by filing in the high-level information for each of the clients in the first category. Then, dig deeper by opening the 1040’s for each of the primary taxpayers to complete the grey section. This will provide deeper insights into client income streams, deductions, and tax credits. In the final part you will list tax planning topics to research. Complete all three parts of the comparison for the first category. Then, repeat this process using a second category. Once you have completed the table, you will have enough information to determine which category interests you most. You will choose one as your topic for Project Two.

Note: There are five sets of client data contained in the Client Tax Profiles B document. Each set represents a category within tax planning. To show how each category may be applied to clients, there are two client profiles within each category that provide different tax scenarios. This allows you to compare two client scenarios within a single category of tax planning. The words category and scenario are used interchangeably in this assignment.

Specifically, you must address the following rubric criteria by completing the template provided:

Complete the high-level view of the client tax profiles.
Identify the category.
Identify the client IDs within the category.
Enter taxpayer’s names.
Enter filing status.
Enter the spouse’s name if applicable.
List the dependents.
Perform an analysis based on reviews of the additional information from client profiles and Form 1040.
Income Streams: Consider all forms of income, look at the AGI or taxable income.
Deductions: Review deductions for the tax year.
Tax Credits: Review tax credits for the tax year.
List multiple tax planning factors.
Make a client tax profile selection on the template (Client Profile Set #). This scenario will be the category you use for Project Two.

Sample Solution

There are a lot of studies to examine genetic variation of tumor types. Genome-wide association studies (GWAS) try to extend scale of these variations that were limited previously. For instance, one of the studies is “Genetic Markers of Susceptibility Project” that was initiated by the National Cancer Institute and their goal is identfying genes that causes breast and prostate cancer by using single nucleotide polymorphism analysis. Examining all type of genetic abnormalities and alterations like a gene silencing, methylation and epigenetic mechanisms, gene translocation, amplifications, and deletions are studies area of “The Human Cancer Genome Project”(48).

Genome-wide association studies revealed some facts that 6q25.1 is sensitive locus for breast cancer(49) and in European ancestry men, two independennt loci included 8q24 that affect formation of prostate cancer(50). Also GWAS showed some differences between cancer types. For instance, 5p15.33 has locus for lung cancer and it was related with adenocarcinoma but not squamous or other subtypes(51). These revealed facts show that patient response to the treatment can be predicted by these unique mutations. Also, 20 SNPs that is related with efficiency of platinum-based chemotherapy in small cell lung cancer patient was revealed thanks to genome- wide scan studies for single nucleotide polymorphism(52). Despite there are studies to discover genetic loci and SNPs , more studies is needed to understand effect of these abnormalities to form disease risk(53).

Databases/bioinformatics

Bioinformatics that include information management and algorithm development is combining of biology and computer science(54). Reaching the database that is about all research is important for personalized medicine. Information that is obtained from previosly described studies in subtitiles can be used for integrating a patient’s clinical information and the genetic profiles of their tumor to predict the relationships of certain molecular changes to cancer.

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