Power performance under different strengths of annotations.

Power performance under different strengths of annotations.

<p>The panels from top to bottom show the power performance under weak, moderate and strong annotations, respectively. For each panel, each plot from left to right represents study sample size of 2000, 5000, and 10000, respectively. Within each plot, boxes from left to right represent the prop...

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Bibliographic Details
Main Author: Yuhan Xie (9937449) (author)
Other Authors: Mo Li (43239) (author), Weilai Dong (7431875) (author), Wei Jiang (14986) (author), Hongyu Zhao (4728) (author)
Published: 2021
Subjects:
Genetics
Biotechnology
Science Policy
Plant Biology
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
may leverage information
shared risk genes
div >< p
de novo </
identify 23 genes
gene association probability
congenital heart disease
improve statistical power
multiple correlated traits
jointly analyze dnms
jointly analyzing data
data (< b
jointly analyzing
identify genes
statistical power
multiple traits
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statistical approach
multiple early
multiple diseases
integrating data
two diseases
trait framework
trait analysis
recent studies
onset diseases
one trait
novel insights
maximization algorithm
joint analysis
functional annotations
framework called
dnms ).
association analysis
another trait
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