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An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder
by
Zhao, Xuefang
, Erdman, Carolyn A.
, Marth, Gabor T.
, Coon, Hilary
, Stone, Matthew R.
, Layer, Ryan M.
, Kashin, Seva
, Sestan, Nenad
, Dea, Jeanselle
, Pochareddy, Sirisha
, Roeder, Kathryn
, Wang, Harold Z.
, Handsaker, Robert E.
, Glessner, Joseph T.
, Smith, Louw
, Brand, Harrison
, An, Joon-Yong
, He, Xin
, Werling, Donna M.
, Farrell, Andrew
, Sanders, Stephan J.
, Walker, Michael F.
, Yadav, Rachita
, Neale, Benjamin M.
, Collins, Ryan L.
, Dong, Shan
, State, Matthew W.
, Liu, Yuwen
, Zhu, Lingxue
, Klei, Lambertus
, Mandell, Jeffrey D.
, Daly, Mark J.
, Talkowski, Michael E.
, Markenscoff-Papadimitriou, Eirene
, Willsey, A. Jeremy
, McCarroll, Steven A.
, Quinlan, Aaron R.
, Kriegstein, Arnold R.
, Schwartz, Grace B.
, Devlin, Bernie
, Waterman, Matthew J.
, Buxbaum, Joseph D.
, Currall, Benjamin B.
, Duhn, Clif
, Rubenstein, John L.
, Nowakowski, Tomasz J.
, Gilson, Michael C.
in
45/23
/ 45/43
/ 45/61
/ 631/208/205/2138
/ 631/208/212
/ 631/208/366/1373
/ Agriculture
/ Analysis
/ Animal Genetics and Genomics
/ Annotations
/ Autism
/ Autism Spectrum Disorder - genetics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer Research
/ Families & family life
/ Female
/ Gene expression
/ Gene Function
/ Gene sequencing
/ Genetic Predisposition to Disease - genetics
/ Genome - genetics
/ Genome-Wide Association Study - methods
/ Genomes
/ Genomics
/ Human Genetics
/ Humans
/ INDEL Mutation - genetics
/ Male
/ Mutation
/ Nucleotide sequence
/ Nucleotides
/ Polymorphism, Single Nucleotide - genetics
/ Protein Isoforms - genetics
/ Proteins
/ Regulatory sequences
/ Variation
2018
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An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder
by
Zhao, Xuefang
, Erdman, Carolyn A.
, Marth, Gabor T.
, Coon, Hilary
, Stone, Matthew R.
, Layer, Ryan M.
, Kashin, Seva
, Sestan, Nenad
, Dea, Jeanselle
, Pochareddy, Sirisha
, Roeder, Kathryn
, Wang, Harold Z.
, Handsaker, Robert E.
, Glessner, Joseph T.
, Smith, Louw
, Brand, Harrison
, An, Joon-Yong
, He, Xin
, Werling, Donna M.
, Farrell, Andrew
, Sanders, Stephan J.
, Walker, Michael F.
, Yadav, Rachita
, Neale, Benjamin M.
, Collins, Ryan L.
, Dong, Shan
, State, Matthew W.
, Liu, Yuwen
, Zhu, Lingxue
, Klei, Lambertus
, Mandell, Jeffrey D.
, Daly, Mark J.
, Talkowski, Michael E.
, Markenscoff-Papadimitriou, Eirene
, Willsey, A. Jeremy
, McCarroll, Steven A.
, Quinlan, Aaron R.
, Kriegstein, Arnold R.
, Schwartz, Grace B.
, Devlin, Bernie
, Waterman, Matthew J.
, Buxbaum, Joseph D.
, Currall, Benjamin B.
, Duhn, Clif
, Rubenstein, John L.
, Nowakowski, Tomasz J.
, Gilson, Michael C.
in
45/23
/ 45/43
/ 45/61
/ 631/208/205/2138
/ 631/208/212
/ 631/208/366/1373
/ Agriculture
/ Analysis
/ Animal Genetics and Genomics
/ Annotations
/ Autism
/ Autism Spectrum Disorder - genetics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer Research
/ Families & family life
/ Female
/ Gene expression
/ Gene Function
/ Gene sequencing
/ Genetic Predisposition to Disease - genetics
/ Genome - genetics
/ Genome-Wide Association Study - methods
/ Genomes
/ Genomics
/ Human Genetics
/ Humans
/ INDEL Mutation - genetics
/ Male
/ Mutation
/ Nucleotide sequence
/ Nucleotides
/ Polymorphism, Single Nucleotide - genetics
/ Protein Isoforms - genetics
/ Proteins
/ Regulatory sequences
/ Variation
2018
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An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder
by
Zhao, Xuefang
, Erdman, Carolyn A.
, Marth, Gabor T.
, Coon, Hilary
, Stone, Matthew R.
, Layer, Ryan M.
, Kashin, Seva
, Sestan, Nenad
, Dea, Jeanselle
, Pochareddy, Sirisha
, Roeder, Kathryn
, Wang, Harold Z.
, Handsaker, Robert E.
, Glessner, Joseph T.
, Smith, Louw
, Brand, Harrison
, An, Joon-Yong
, He, Xin
, Werling, Donna M.
, Farrell, Andrew
, Sanders, Stephan J.
, Walker, Michael F.
, Yadav, Rachita
, Neale, Benjamin M.
, Collins, Ryan L.
, Dong, Shan
, State, Matthew W.
, Liu, Yuwen
, Zhu, Lingxue
, Klei, Lambertus
, Mandell, Jeffrey D.
, Daly, Mark J.
, Talkowski, Michael E.
, Markenscoff-Papadimitriou, Eirene
, Willsey, A. Jeremy
, McCarroll, Steven A.
, Quinlan, Aaron R.
, Kriegstein, Arnold R.
, Schwartz, Grace B.
, Devlin, Bernie
, Waterman, Matthew J.
, Buxbaum, Joseph D.
, Currall, Benjamin B.
, Duhn, Clif
, Rubenstein, John L.
, Nowakowski, Tomasz J.
, Gilson, Michael C.
in
45/23
/ 45/43
/ 45/61
/ 631/208/205/2138
/ 631/208/212
/ 631/208/366/1373
/ Agriculture
/ Analysis
/ Animal Genetics and Genomics
/ Annotations
/ Autism
/ Autism Spectrum Disorder - genetics
/ Bioinformatics
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer Research
/ Families & family life
/ Female
/ Gene expression
/ Gene Function
/ Gene sequencing
/ Genetic Predisposition to Disease - genetics
/ Genome - genetics
/ Genome-Wide Association Study - methods
/ Genomes
/ Genomics
/ Human Genetics
/ Humans
/ INDEL Mutation - genetics
/ Male
/ Mutation
/ Nucleotide sequence
/ Nucleotides
/ Polymorphism, Single Nucleotide - genetics
/ Protein Isoforms - genetics
/ Proteins
/ Regulatory sequences
/ Variation
2018
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An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder
Journal Article
An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder
2018
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Overview
Genomic association studies of common or rare protein-coding variation have established robust statistical approaches to account for multiple testing. Here we present a comparable framework to evaluate rare and de novo noncoding single-nucleotide variants, insertion/deletions, and all classes of structural variation from whole-genome sequencing (WGS). Integrating genomic annotations at the level of nucleotides, genes, and regulatory regions, we define 51,801 annotation categories. Analyses of 519 autism spectrum disorder families did not identify association with any categories after correction for 4,123 effective tests. Without appropriate correction, biologically plausible associations are observed in both cases and controls. Despite excluding previously identified gene-disrupting mutations, coding regions still exhibited the strongest associations. Thus, in autism, the contribution of de novo noncoding variation is probably modest in comparison to that of de novo coding variants. Robust results from future WGS studies will require large cohorts and comprehensive analytical strategies that consider the substantial multiple-testing burden.
This study presents a framework to evaluate rare and de novo variation from whole-genome sequencing (WGS). The work suggests that robust results from WGS studies will require large cohorts and strategies that consider the substantial multiple-testing burden.
Publisher
Nature Publishing Group US,Nature Publishing Group
Subject
/ 45/43
/ 45/61
/ Analysis
/ Animal Genetics and Genomics
/ Autism
/ Autism Spectrum Disorder - genetics
/ Biomedical and Life Sciences
/ Female
/ Genetic Predisposition to Disease - genetics
/ Genome-Wide Association Study - methods
/ Genomes
/ Genomics
/ Humans
/ Male
/ Mutation
/ Polymorphism, Single Nucleotide - genetics
/ Proteins
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