A comparison of whole genome sequencing with exome sequencing for family-based association studies

被引:11
|
作者
Sean Lacey
Jae Yoon Chung
Honghuang Lin
机构
[1] Boston University School of Public Health,Department of Biostatistics
[2] Boston University,Bioinformatics Program
[3] Boston University School of Medicine,Department of Medicine
关键词
False Discovery Rate; Exome Sequencing; Genetic Analysis Workshop; Blood Pressure Medication; High False Discovery Rate;
D O I
10.1186/1753-6561-8-S1-S38
中图分类号
学科分类号
摘要
As the cost of DNA sequencing decreases, association studies based on whole genome sequencing are now becoming feasible. It is still unclear, however, how much more we could gain from whole genome sequencing compared to exome sequencing, which has been widely used to study a variety of diseases. In this project, we performed a comparison between whole genome sequencing and exome sequencing for family-based association analysis using data from Genetic Analysis Workshop 18. Whole genome sequencing was able to identify several significant hits within intergenic regions. However, the increased cost of multiple testing counteracted the benefits and resulted in a higher false discovery rate. Our results suggest that exome sequencing is a cost-effective way to identify disease-related variants. With the decreasing sequencing cost and accumulating knowledge of the human genome, whole genome sequencing has the potential to identify important variants in regulatory regions typically inaccessible for exome sequencing.
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