Decision-analytic methods are often used in health-care decision making to quantify the anticipated clinical risks and benefits of implementing a proposed intervention. These methods provide a framework for transparently assembling data and estimating the effects of an intervention on health outcomes. 1 Although these methods have been used to assess a multitude of interventions, it is unclear whether they are capable of adequately capturing clinical and personal utility of genomic testing.Specifically, genomic testing in complex indications may be challenging to represent within the context of a traditional decision-analytic framework that uses quality-adjusted lifeyears (QALYs) as a summary measure of benefit. 2 Genomic tests impart knowledge to both the patient and provider. To the extent that this information guides treatment decisions, the impact on health outcomes is relatively straightforward to capture using decision-analytic methods. 3 However, complexity arises due to the inherent value the information obtained from a genomic test may have to the patient. This information has potential to be the source of anxiety or to relieve anxiety, may have implications for reproductive decisions, and has implications for others, as spouses of carriers are affected by the decisions informed with this knowledge and relatives of a mutation-positive patient learn that they have a higher likelihood to be carriers. [4][5][6][7][8] The growing availability and use of genomic tests merit closer examination of the role of decision modeling in assessing the clinical and personal utility of testing.The objective of this study was to explore the capability and flexibility of decision-analytic methods to examine a complex case study involving genomic testing: the use of factor V Leiden (FVL) testing to improve pregnancy outcomes. A genomic test for the FVL mutation has been commercially available since 2003, but recent consensus recommendations differ on the indications that require screening among pregnant women, and the strength of evidence underlying these recommendations is weak. 9,10 The FVL mutation affects an estimated 5% of European Americans, and estimates range from 0.5 to 2.5% among Americans of other ancestries. 11 Heterozygous carriers of the FVL mutation have a three-to eightfold increased risk of experiencing venous thromboembolisms (VTEs) and homozygous carriers are estimated to have a further elevated risk wherein the estimates range from a nine-to 80-fold increased risk as compared with noncarriers. 12 Furthermore, studies have indicated a potential association between the FVL mutation and risk of recurrent pregnancy loss (RPL) and other adverse pregnancy outcomes. 13 However, the uncertainty in study findings and strong influence of patient values and preferences for medical treatment during pregnancy have not allowed decision makers to impart strong recommendations on the clinical scenarios that warrant FVL testing and treatment. 9Purpose: We sought to assess the benefits, risks, and personal utility of fac...