Literature DB >> 35707573

Candidate-gene association analysis for a continuous phenotype with a spike at zero using parent-offspring trios.

Nadja Klein1, Andrew Entwistle2, Albert Rosenberger2, Thomas Kneib3, Heike Bickeböller2.   

Abstract

In this paper, we propose the class of generalized additive models for location, scale and shape in a test for the association of genetic markers with non-normally distributed phenotypes comprising a spike at zero. The resulting statistical test is a generalization of the quantitative transmission disequilibrium test with mating type indicator, which was originally designed for normally distributed quantitative traits and parent-offspring data. As a motivational example, we consider coronary artery calcification (CAC), which can accurately be identified by electron beam tomography. In the investigated regions, individuals will have a continuous measure of the extent of calcium found or they will be calcium-free. Hence, the resulting distribution is a mixed discrete-continuous distribution with spike at zero. We carry out parent-offspring simulations motivated by such CAC measurement values in a screening population to study statistical properties of the proposed test for genetic association. Furthermore, we apply the approach to data of the Genetic Analysis Workshop 16 that are based on real genotype and family data of the Framingham Heart Study, and test the association of selected genetic markers with simulated coronary artery calcification.
© 2019 Informa UK Limited, trading as Taylor & Francis Group.

Entities:  

Keywords:  Coronary artery calcification; generalized additive models for location; genetic marker; likelihood ratio test; scale and shape; transmission disequilibrium test

Year:  2019        PMID: 35707573      PMCID: PMC9042123          DOI: 10.1080/02664763.2019.1704226

Source DB:  PubMed          Journal:  J Appl Stat        ISSN: 0266-4763            Impact factor:   1.416


  24 in total

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Authors:  Q Yang; D Rabinowitz; C Isasi; S Shea
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2.  Population stratification in epidemiologic studies of common genetic variants and cancer: quantification of bias.

Authors:  S Wacholder; N Rothman; N Caporaso
Journal:  J Natl Cancer Inst       Date:  2000-07-19       Impact factor: 13.506

3.  A unified framework for transmission-disequilibrium test analysis of discrete and continuous traits.

Authors:  Ying Liu; David Tritchler; Shelley B Bull
Journal:  Genet Epidemiol       Date:  2002-01       Impact factor: 2.135

4.  Power and design considerations for a general class of family-based association tests: quantitative traits.

Authors:  Christoph Lange; Dawn L DeMeo; Nan M Laird
Journal:  Am J Hum Genet       Date:  2002-11-21       Impact factor: 11.025

5.  Candidate gene association analysis for a quantitative trait, using parent-offspring trios.

Authors:  W James Gauderman
Journal:  Genet Epidemiol       Date:  2003-12       Impact factor: 2.135

6.  "Tradition is not preserving the ashes, it is passing on the fire". On strengthening ties with GMDS.

Authors:  A Winter; R Haux; H Bickeböller
Journal:  Methods Inf Med       Date:  2013       Impact factor: 2.176

7.  Statistical models for longitudinal zero-inflated count data with applications to the substance abuse field.

Authors:  Anne Buu; Runze Li; Xianming Tan; Robert A Zucker
Journal:  Stat Med       Date:  2012-07-24       Impact factor: 2.373

8.  Age and gender distributions of coronary artery calcium detected by electron beam tomography in 35,246 adults.

Authors:  J A Hoff; E V Chomka; A J Krainik; M Daviglus; S Rich; G T Kondos
Journal:  Am J Cardiol       Date:  2001-06-15       Impact factor: 2.778

9.  Variance components genetic association test for zero-inflated count outcomes.

Authors:  Matthew O Goodman; Lori Chibnik; Tianxi Cai
Journal:  Genet Epidemiol       Date:  2018-10-24       Impact factor: 2.135

10.  Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM).

Authors:  R S Spielman; R E McGinnis; W J Ewens
Journal:  Am J Hum Genet       Date:  1993-03       Impact factor: 11.025

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