Literature DB >> 25387710

In search of rare variants: preliminary results from whole genome sequencing of 1,325 individuals with psychophysiological endophenotypes.

Scott I Vrieze1, Stephen M Malone, Uma Vaidyanathan, Alan Kwong, Hyun Min Kang, Xiaowei Zhan, Matthew Flickinger, Daniel Irons, Goo Jun, Adam E Locke, Giorgio Pistis, Eleonora Porcu, Shawn Levy, Richard M Myers, William Oetting, Matt McGue, Goncalo Abecasis, William G Iacono.   

Abstract

Whole genome sequencing was completed on 1,325 individuals from 602 families, identifying 27 million autosomal variants. Genetic association tests were conducted for those individuals who had been assessed for one or more of 17 endophenotypes (N range = 802-1,185). No significant associations were found. These 27 million variants were then imputed into the full sample of individuals with psychophysiological data (N range = 3,088-4,469) and again tested for associations with the 17 endophenotypes. No association was significant. Using a gene-based variable threshold burden test of nonsynonymous variants, we obtained five significant associations. These findings are preliminary and call for additional analysis of this rich sample. We argue that larger samples, alternative study designs, and additional bioinformatics approaches will be necessary to discover associations between these endophenotypes and genomic variation.
Copyright © 2014 Society for Psychophysiological Research.

Entities:  

Keywords:  Antisaccade; EEG; Endophenotype; P300; Psychophysiology; Rare variant; Startle; Whole genome sequencing

Mesh:

Year:  2014        PMID: 25387710      PMCID: PMC4231480          DOI: 10.1111/psyp.12350

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  35 in total

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2.  Spurious genetic associations.

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3.  Heritability and molecular-genetic basis of resting EEG activity: a genome-wide association study.

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Review 4.  Somatic mutation, genomic variation, and neurological disease.

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Journal:  Science       Date:  2013-07-05       Impact factor: 47.728

Review 5.  Confluence of genes, environment, development, and behavior in a post Genome-Wide Association Study world.

Authors:  Scott I Vrieze; William G Iacono; Matt McGue
Journal:  Dev Psychopathol       Date:  2012-11

6.  Autism genome-wide copy number variation reveals ubiquitin and neuronal genes.

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8.  An integrated map of genetic variation from 1,092 human genomes.

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Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

9.  Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants.

Authors:  Wenqing Fu; Timothy D O'Connor; Goo Jun; Hyun Min Kang; Goncalo Abecasis; Suzanne M Leal; Stacey Gabriel; Mark J Rieder; David Altshuler; Jay Shendure; Deborah A Nickerson; Michael J Bamshad; Joshua M Akey
Journal:  Nature       Date:  2012-11-28       Impact factor: 49.962

10.  Exome sequencing in sporadic autism spectrum disorders identifies severe de novo mutations.

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Journal:  Nat Genet       Date:  2011-05-15       Impact factor: 38.330

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  20 in total

1.  Validating Online Measures of Cognitive Ability in Genes for Good, a Genetic Study of Health and Behavior.

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2.  What can time-frequency and phase coherence measures tell us about the genetic basis of P3 amplitude?

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3.  Genetic associations of nonsynonymous exonic variants with psychophysiological endophenotypes.

Authors:  Scott I Vrieze; Stephen M Malone; Nathan Pankratz; Uma Vaidyanathan; Michael B Miller; Hyun Min Kang; Matt McGue; Gonçalo Abecasis; William G Iacono
Journal:  Psychophysiology       Date:  2014-12       Impact factor: 4.016

4.  Heritability and molecular genetic basis of antisaccade eye tracking error rate: a genome-wide association study.

Authors:  Uma Vaidyanathan; Stephen M Malone; Jennifer M Donnelly; Micah A Hammer; Michael B Miller; Matt McGue; William G Iacono
Journal:  Psychophysiology       Date:  2014-12       Impact factor: 4.016

5.  Heritability and molecular genetic basis of electrodermal activity: a genome-wide association study.

Authors:  Uma Vaidyanathan; Joshua D Isen; Stephen M Malone; Michael B Miller; Matt McGue; William G Iacono
Journal:  Psychophysiology       Date:  2014-12       Impact factor: 4.016

Review 6.  Genome-wide scans of genetic variants for psychophysiological endophenotypes: a methodological overview.

Authors:  William G Iacono; Stephen M Malone; Uma Vaidyanathan; Scott I Vrieze
Journal:  Psychophysiology       Date:  2014-12       Impact factor: 4.016

7.  Whole genome sequence association and ancestry-informed polygenic profile of EEG alpha in a Native American population.

Authors:  Qian Peng; Nicholas J Schork; Kirk C Wilhelmsen; Cindy L Ehlers
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8.  Next-generation genotype imputation service and methods.

Authors:  Sayantan Das; Lukas Forer; Sebastian Schönherr; Carlo Sidore; Adam E Locke; Alan Kwong; Scott I Vrieze; Emily Y Chew; Shawn Levy; Matt McGue; David Schlessinger; Dwight Stambolian; Po-Ru Loh; William G Iacono; Anand Swaroop; Laura J Scott; Francesco Cucca; Florian Kronenberg; Michael Boehnke; Gonçalo R Abecasis; Christian Fuchsberger
Journal:  Nat Genet       Date:  2016-08-29       Impact factor: 38.330

Review 9.  The genetics of anxiety-related negative valence system traits.

Authors:  Jeanne E Savage; Chelsea Sawyers; Roxann Roberson-Nay; John M Hettema
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2016-05-19       Impact factor: 3.568

10.  A functional U-statistic method for association analysis of sequencing data.

Authors:  Sneha Jadhav; Xiaoran Tong; Qing Lu
Journal:  Genet Epidemiol       Date:  2017-08-29       Impact factor: 2.135

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