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SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits
by
Wu, Yuchang
, Travers, Brittany G.
, Liu, Wei
, Lu, Qiongshi
, Zhao, Hongyu
, Li, Boyang
, Zhong, Xiaoyuan
, Yu, Zhaolong
, Ye, Yixuan
, Zhang, Yiliang
, Werling, Donna M.
, Huang, Kunling
, Li, James J.
in
Animal Genetics and Genomics
/ Autism
/ Autism spectrum disorder
/ Autism Spectrum Disorder - genetics
/ Bias
/ Bioinformatics
/ Biomedical and Life Sciences
/ Chromatin modifiers
/ Chromosomes
/ Cognition
/ Cognitive ability
/ Computer Simulation
/ Correlation analysis
/ Eigen decomposition
/ Estimates
/ etiology
/ Evolutionary Biology
/ Genetic analysis
/ genetic correlation
/ Genetic Predisposition to Disease
/ genetic similarity
/ Genetics
/ genome
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ GWAS
/ Human Genetics
/ Humans
/ Life Sciences
/ Linkage disequilibrium
/ Local genetic covariance
/ Method
/ Microbial Genetics and Genomics
/ Multifactorial Inheritance - genetics
/ Plant Genetics and Genomics
/ Power
/ Quality control
/ Quantitative Trait, Heritable
/ Risk Factors
/ Simulation
/ Software
/ Statistical analysis
/ statistics
2021
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SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits
by
Wu, Yuchang
, Travers, Brittany G.
, Liu, Wei
, Lu, Qiongshi
, Zhao, Hongyu
, Li, Boyang
, Zhong, Xiaoyuan
, Yu, Zhaolong
, Ye, Yixuan
, Zhang, Yiliang
, Werling, Donna M.
, Huang, Kunling
, Li, James J.
in
Animal Genetics and Genomics
/ Autism
/ Autism spectrum disorder
/ Autism Spectrum Disorder - genetics
/ Bias
/ Bioinformatics
/ Biomedical and Life Sciences
/ Chromatin modifiers
/ Chromosomes
/ Cognition
/ Cognitive ability
/ Computer Simulation
/ Correlation analysis
/ Eigen decomposition
/ Estimates
/ etiology
/ Evolutionary Biology
/ Genetic analysis
/ genetic correlation
/ Genetic Predisposition to Disease
/ genetic similarity
/ Genetics
/ genome
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ GWAS
/ Human Genetics
/ Humans
/ Life Sciences
/ Linkage disequilibrium
/ Local genetic covariance
/ Method
/ Microbial Genetics and Genomics
/ Multifactorial Inheritance - genetics
/ Plant Genetics and Genomics
/ Power
/ Quality control
/ Quantitative Trait, Heritable
/ Risk Factors
/ Simulation
/ Software
/ Statistical analysis
/ statistics
2021
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SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits
by
Wu, Yuchang
, Travers, Brittany G.
, Liu, Wei
, Lu, Qiongshi
, Zhao, Hongyu
, Li, Boyang
, Zhong, Xiaoyuan
, Yu, Zhaolong
, Ye, Yixuan
, Zhang, Yiliang
, Werling, Donna M.
, Huang, Kunling
, Li, James J.
in
Animal Genetics and Genomics
/ Autism
/ Autism spectrum disorder
/ Autism Spectrum Disorder - genetics
/ Bias
/ Bioinformatics
/ Biomedical and Life Sciences
/ Chromatin modifiers
/ Chromosomes
/ Cognition
/ Cognitive ability
/ Computer Simulation
/ Correlation analysis
/ Eigen decomposition
/ Estimates
/ etiology
/ Evolutionary Biology
/ Genetic analysis
/ genetic correlation
/ Genetic Predisposition to Disease
/ genetic similarity
/ Genetics
/ genome
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ GWAS
/ Human Genetics
/ Humans
/ Life Sciences
/ Linkage disequilibrium
/ Local genetic covariance
/ Method
/ Microbial Genetics and Genomics
/ Multifactorial Inheritance - genetics
/ Plant Genetics and Genomics
/ Power
/ Quality control
/ Quantitative Trait, Heritable
/ Risk Factors
/ Simulation
/ Software
/ Statistical analysis
/ statistics
2021
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SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits
Journal Article
SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits
2021
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Overview
Local genetic correlation quantifies the genetic similarity of complex traits in specific genomic regions. However, accurate estimation of local genetic correlation remains challenging, due to linkage disequilibrium in local genomic regions and sample overlap across studies. We introduce SUPERGNOVA, a statistical framework to estimate local genetic correlations using summary statistics from genome-wide association studies. We demonstrate that SUPERGNOVA outperforms existing methods through simulations and analyses of 30 complex traits. In particular, we show that the positive yet paradoxical genetic correlation between autism spectrum disorder and cognitive performance could be explained by two etiologically distinct genetic signatures with bidirectional local genetic correlations.
Publisher
BioMed Central,Springer Nature B.V,BMC
Subject
/ Autism
/ Autism Spectrum Disorder - genetics
/ Bias
/ Biomedical and Life Sciences
/ etiology
/ Genetic Predisposition to Disease
/ Genetics
/ genome
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ GWAS
/ Humans
/ Method
/ Microbial Genetics and Genomics
/ Multifactorial Inheritance - genetics
/ Power
/ Quantitative Trait, Heritable
/ Software
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