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. Author manuscript; available in PMC: 2016 Jul 24.
Published in final edited form as: Genet Epidemiol. 2015 Oct 23;39(8):635–650. doi: 10.1002/gepi.21930

Table II.

Summary of the results for the power of detecting multivariate association with four phenotypes by different methods described in Tables X-XIV.

Tables Summary
Table X The traits are normally distributed. Both of the allelic tests consistently produce a marginal 1% – 2% increase in power compared to MultiPhen.
Table XI The traits are distributed as chi-square. The performance of MultiPhen is comparable to that of DAMP. However, BAMP performs slightly better than the other two tests offering a 1% – 3% increase of power.
Table XII The first associated continuous trait in Table X is converted into a binary trait. In this scenario, MultiPhen and DAMP perform similarly. But, BAMP performs better than MultiPhen producing an increase in power in the range 1% – 5%. For example, in choice 3, for LD=0.95, the power increase is 2% – 5%.
Table XIII The first associated continuous trait in Table XI is converted into a binary trait. DAMP performs marginally better than MultiPhen while BAMP performs consistently better than the other two methods. It produces higher power than MultiPhen with an increase in the range of 1% – 7%. For example, in choice 3, for LD=0.95, the increase in power of BAMP over MultiPhen is in the range of 5% – 7%.
Table XIV All the traits are associated with the QTL and distributed as chi-square. While DAMP and MultiPhen produce comparable power, BAMP yields a consistent increase in power compared to MultiPhen, ranging from 1% to 3%.