A Powerful Retrospective Multiple Variant Association Test for Quantitative Traits by Borrowing Strength from Complex Genotypic Correlations

2019 ◽  
pp. 61-90
Author(s):  
Xiaowei Wu
Keyword(s):  
Quantitative Traits ◽  
Association Test ◽  
Borrowing Strength ◽  
Genotypic Correlations

A Family-Based Association Test for Repeatedly Measured Quantitative Traits Adjusting for Unknown Environmental and/or Polygenic Effects

2004 ◽  
Vol 3 (1) ◽  
pp. 1-27 ◽  
Author(s):  
Christoph Lange ◽  
Kristel van Steen ◽  
Toby Andrew ◽  
Helen Lyon ◽  
Dawn L DeMeo ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Software Package ◽  
Quantitative Traits ◽  
Univariate Analysis ◽  
Principal Component ◽  
Genetic Effects ◽  
Association Test ◽  
Practical Relevance ◽  
Simulation Studies ◽  
Family Based

We propose a family-based association test, FBAT-PC, for studies with quantitative traits that are measured repeatedly. The traits may be influenced by partially or completely unknown factors that may vary for each measurement. Using generalized principal component analysis, FBAT-PC amplifies the genetic effects of each measurement by constructing an overall phenotype with maximal heritability. Analytically, and in the simulation studies, we compare FBAT-PC with standard methodology and assess both the heritability of the overall phenotype and the power of FBAT-PC. Compared to univariate analysis, FBAT-PC achieves power gains of up to 200%. Applications of FBAT-PC to an osteoporosis study and to an asthma study show the practical relevance of FBAT-PC. FBAT-PC has been implemented in the software package PBAT and is freely available at http://www.biostat.harvard.edu/~clange/default.htm.

A rare variant association test in family-based designs and non-normal quantitative traits

2015 ◽  
Vol 35 (6) ◽  
pp. 905-921 ◽  
Author(s):  
Lajmi Lakhal-Chaieb ◽  
Karim Oualkacha ◽  
Brent J. Richards ◽  
Celia M.T. Greenwood
Keyword(s):  
Rare Variant ◽  
Quantitative Traits ◽  
Association Test ◽  
Rare Variant Association ◽  
Family Based ◽  
Rare Variant Association Test

scholarly journals Sequence Kernel Association Test for Quantitative Traits in Family Samples

2012 ◽  
Vol 37 (2) ◽  
pp. 196-204 ◽  
Author(s):  
Han Chen ◽  
James B. Meigs ◽  
Josée Dupuis
Keyword(s):  
Quantitative Traits ◽  
Association Test ◽  
Sequence Kernel Association Test

General regression model: A “model‐free” association test for quantitative traits allowing to test for the underlying genetic model

2019 ◽  
Vol 84 (3) ◽  
pp. 280-290
Author(s):  
Emilie Gloaguen ◽  
Marie‐Hélène Dizier ◽  
Mathilde Boissel ◽  
Ghislain Rocheleau ◽  
Mickaël Canouil ◽  
...  
Keyword(s):  
Regression Model ◽  
Quantitative Traits ◽  
Genetic Model ◽  
Free Association ◽  
Association Test ◽  
Model Free ◽  
General Regression

scholarly journals A Powerful and Flexible Multilocus Association Test for Quantitative Traits

2008 ◽  
Vol 82 (2) ◽  
pp. 386-397 ◽  
Author(s):  
Lydia Coulter Kwee ◽  
Dawei Liu ◽  
Xihong Lin ◽  
Debashis Ghosh ◽  
Michael P. Epstein
Keyword(s):  
Quantitative Traits ◽  
Association Test

Men Are Hierarchical, Women Are Egalitarian: An Implicit Gender Stereotype

2004 ◽  
Vol 63 (2) ◽  
pp. 107-111 ◽  
Author(s):  
Marianne Schmid Mast
Keyword(s):  
Empirical Evidence ◽  
Implicit Association Test ◽  
Gender Stereotype ◽  
Association Test ◽  
Implicit Association ◽  
Two Samples

The goal of the present study was to provide empirical evidence for the existence of an implicit hierarchy gender stereotype indicating that men are more readily associated with hierarchies and women are more readily associated with egalitarian structures. To measure the implicit hierarchy gender stereotype, the Implicit Association Test (IAT, Greenwald et al., 1998) was used. Two samples of undergraduates (Sample 1: 41 females, 22 males; Sample 2: 35 females, 37 males) completed a newly developed paper-based hierarchy-gender IAT. Results showed that there was an implicit hierarchy gender stereotype: the association between male and hierarchical and between female and egalitarian was stronger than the association between female and hierarchical and between male and egalitarian. Additionally, men had a more pronounced implicit hierarchy gender stereotype than women.

What Does the Implicit Association Test Measure? A Test of the Convergent and Discriminant Validity of Prejudice-Related IATs

2002 ◽  
Vol 49 (3) ◽  
pp. 171-180 ◽  
Author(s):  
Bertram Gawronski
Keyword(s):  
Implicit Association Test ◽  
Discriminant Validity ◽  
Association Test ◽  
Recent Criticism ◽  
Implicit Association ◽  
East Asians ◽  
Student Sample ◽  
Convergent And Discriminant Validity ◽  
Explicit Prejudice ◽  
Turkish People

Abstract. Drawing on recent criticism of the Implicit Association Test (IAT), the present study tested the convergent and discriminant validity of two prejudice-related IATs to corresponding explicit prejudice measures in a German student sample (N = 61). Confirming convergent validity, (a) an IAT designed to assess negative associations related to Turkish people was significantly related to the explicit endorsement of prejudiced beliefs about Turkish people, and (b) an IAT designed to assess negative associations related to East Asians was significantly related to explicit prejudice against East Asians. Moreover, confirming discriminant validity, (c) the Asian IAT was unrelated to the explicit endorsement of prejudiced beliefs about Turkish people, and (d) the Turkish IAT was unrelated to explicit prejudice against Asian people. These results further corroborate the assumption that the IAT is a valid method to assess the strength of evaluative associations in the domain of prejudice and stereotypes.

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