M-DATA: A Statistical Approach to Jointly Analyzing
                  <i>De Novo</i>
                  Mutations for Multiple Traits

Xie, Yuhan; Li, Mo; Dong, Weilai; Jiang, Wei; Zhao, Hongyu

doi:10.1101/2021.05.22.21257421

2021

DOI: 10.1101/2021.05.22.21257421

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M-DATA: A Statistical Approach to Jointly Analyzing De Novo Mutations for Multiple Traits

Yuhan Xie

¹

,

Mo Li

²

,

Weilai Dong

³

et al.

Abstract: Recent studies have demonstrated that multiple early-onset diseases have shared risk genes, based on findings from de novo mutations (DMNs). Therefore, we may leverage information from one trait to improve statistical power to identify genes for another trait. However, there are few methods that can jointly analyze DNMs from multiple traits. In this study, we develop a framework called M-DATA (Multi-trait framework for De novo mutation Association Test with Annotations) to increase the statistical power of ass… Show more

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“…Alternative methods are needed to quantify concordance of association signals for rare and de novo variants between traits [24]. With shared genetics between traits, we can leverage this to better identify disease genes [25,26].…”

Section: Pleiotropymentioning

confidence: 99%

Roles of statistical modeling in characterizing the genetic basis of human diseases and traits

Zhao

¹

2021

Quant. Biol.

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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“…Alternative methods are needed to quantify concordance of association signals for rare and de novo variants between traits [24]. With shared genetics between traits, we can leverage this to better identify disease genes [25,26].…”

Section: Pleiotropymentioning

confidence: 99%

Roles of statistical modeling in characterizing the genetic basis of human diseases and traits

Zhao

¹

2021

Quant. Biol.

Self Cite

3

0

Get access via publisher Add to dashboard Cite

Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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