when applied across the whole genome [44]. Both of these approaches require the analysis to be expressed as a score statistic from a regression model, which can be done in most situations but may require additional work by the user. Currently, Lin's method seems better suited to genome-wide analysis, whereas that of Seaman and Müller-Mysock is more applicable and efficient in smaller-scale candidate gene studies [46].
