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1 BMI was considered a continuous trait.
2 a threshold process acting on an underlying continuous trait.
3 sing data from between-species divergence of continuous traits.
4 for mapping multiple epistatic QTL affecting continuous traits.
5 ethod to joint mapping for both discrete and continuous traits.
6 been successfully applied to QTL mapping for continuous traits.
7 eritance of FEV1 using regressive models for continuous traits.
8 icient and are applicable to both binary and continuous traits.
9 SO linear model for multiple QTL mapping for continuous traits.
15 ean ancestry using gestational duration as a continuous trait and term or preterm (<37 weeks) birth a
18 types in the joint analysis (e.g., multiple continuous traits and mixtures of continuous traits and
20 human brain networks vary as a function of a continuous trait, but flexible and efficient procedures
23 We also examined glucose- and lipid-related continuous traits in an overlapping set of 1,215 subject
24 easing the power of genetic associations for continuous traits in extant samples for other phenotypes
27 c prediction, and for prediction of clinical continuous traits of interest, hold great promise and wa
28 with the composite model space framework for continuous traits, offers a convenient way for genomewid
30 association, often with multiple binary and continuous traits or under more than one model of inheri
33 inkage analysis of multivariate discrete and continuous traits to the extended pedigree data from the
34 are used to estimate rates of evolution for continuous traits under a Brownian motion model of evolu
35 alled threshold model) that assumes a latent continuous trait underlies the generation of the ordinal
36 multiple-QTL mapping methods for correlated continuous traits using two multivariate models: one tha
37 binary trait dichotomized from the simulated continuous trait with real genotype data from the Framin
39 leotide polymorphisms (SNPs) and a binary or continuous trait with user specified genetic model, and
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