By applying statistics to genetics, Dr. Swati Biswas
is aiding efforts to analyze the human genetic code for clues to fighting disease.
“In the past few years, there has been explosive growth in the amount and complexity of genetic data scientists can gather, and many challenging questions are emerging,” said Biswas, a biostatistician who recently joined the UT Dallas faculty as an assistant professor of mathematical sciences.
The human genome
, or DNA, contains about 20,000 or more genes that play a role in determining everything from hair color to cancer risk. Each gene varies from person to person, and some very rare variations are of particular interest to geneticists and biologists. Identifying rare variants may hold the key to understanding what causes many common diseases, which in turn could provide clues to how to prevent or treat them.
Statisticians at The University of Texas at Dallas have developed an online tool to help breast cancer patients assess their risk of getting a second breast cancer, providing additional guidance for patients and their doctors in the timely management of the disease.Dr. Swati Biswas
, associate professor of statistics in the Department of Mathematical Sciences
, has spent a major part of her career working on statistical models that shed light on who is most at risk for developing breast cancer.