Rya Kiernan
Undergraduate Student, Arizona State University
2 active projects
BIO 194 PTC and BMI (controlled tier)
Scientific Questions Being Studied
We intend to study the correlation between PTC tasting genes and BMI. We are looking to study its role within those in the 20-30 year old group.
Project Purpose(s)
- Population Health
- Ancestry
Scientific Approaches
We plan to use the All of Us database and input the data within the programming language R. We then have to do statistic analyses within R.
Anticipated Findings
We are uncertain as of now what we'll find within this study. We haven't done any preliminary studies.
Demographic Categories of Interest
This study will not center on underrepresented populations.
Data Set Used
Controlled TierResearch Team
Owner:
- Sarah Weisman - Undergraduate Student, Arizona State University
- Rya Kiernan - Undergraduate Student, Arizona State University
- Emily Druce - Undergraduate Student, Arizona State University
- Christina Shultz - Undergraduate Student, Arizona State University
- Abigail Tang - Undergraduate Student, Arizona State University
Group 8: PTC Mutations and Haplotypes Distribution
Scientific Questions Being Studied
The question we intend to study is the ethical distribution of the TAS2R38 gene and whether this has a trend nationally. This is important to understand how the bitter taste gene is distributed throughout the population and whether there’s a difference based on ethnicity, thus allowing better understanding.
Project Purpose(s)
- Ancestry
Scientific Approaches
In our project, we will be using datasets provided by All of Us to study a variety of ethnicities and their haplotypes of PTC mutations across the United States of America. Through the use of these datasets and programming techniques supported by R/R-Studio, a data analysis will be conducted using the data sets from All of Us to create visuals and statistics to derive a conclusion about an ethnic group's frequency of PTC mutations and the unique characteristic of a community.
Anticipated Findings
The study’s expected outcomes are to find the possible link between various ethnographic locations in the US and specific PTC mutations and to map out existing data on PTC mutation ethnographically to see whether trends emerge in different groups. Suppose the finding supports the experiment’s premise. In that case. It might imply that particular groups have a high incidence of PTC mutations and that these mutations may have health repercussions beyond the capacity to detect bitterness. The findings would contribute to the body of scientific knowledge by developing a better understanding of the relationship between the occurrence of PTC mutations in different populations, particularly in the genetics and health fields. Ex. Personalized health.
Demographic Categories of Interest
- Race / Ethnicity
- Age
Data Set Used
Controlled TierResearch Team
Owner:
- Rya Kiernan - Undergraduate Student, Arizona State University
- Emily Druce - Undergraduate Student, Arizona State University
Collaborators:
- Khailene Amisone - Undergraduate Student, Arizona State University
- Gerardo Rodriguez - Undergraduate Student, Arizona State University
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