A powerful and robust new linkage statistic for discordant sibling pairs

American Journal of Human Genetics
Jin P Szatkiewicz, Eleanor Feingold

Abstract

Previously, Szatkiewicz and colleagues evaluated the performance of a wide variety of statistics for quantitative-trait-locus linkage, using discordant sibling pairs. They found that the most powerful statistics, in general, were a score statistic and a "composite statistic." However, whereas these two statistics have equal power under ideal conditions, each has limitations that reduce its power in certain circumstances. The score statistic depends on estimates of trait parameters and can lose a lot of power if those estimates are incorrect. The composite statistic is not sensitive to trait-parameter estimates but does depend on arbitrary weights that must be chosen on the basis of the ascertainment scheme. In this report, we elucidate the algebraic relationship between the score and composite statistics and then use that relationship to suggest a new statistic that combines the best properties of both. We call our new statistic the "robust discordant pair" (RDP) statistic. We report simulation studies to show that the RDP statistic does, indeed, have all of the strengths and none of the weaknesses of the score and composite statistics.

References

Mar 1, 1972·Behavior Genetics·J K Haseman, R C Elston
Apr 14, 2000·American Journal of Human Genetics·W F Forrest, E Feingold
May 16, 2001·American Journal of Human Genetics·P C Sham, S Purcell
Aug 23, 2003·Biostatistics·H K Tang, D Siegmund
Sep 13, 2003·American Journal of Human Genetics·Jin P SzatkiewiczEleanor Feingold

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Citations

Sep 22, 2005·American Journal of Human Genetics·Zehua ChenZhaohai Li
Sep 10, 2005·American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics·Cynthia M BulikBernie Devlin
Jan 22, 2005·Genetic Epidemiology·Jin P Szatkiewicz, Eleanor Feingold

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