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author Fairfield, Heather
Srivastava, Anuj
Ananda, Guruprasad
Liu, Rangjiao
Kircher, Martin
Lakshminarayana, Anuradha
Harris, Belinda S.
Karst, Son Yong
Dionne, Louise A.
Kane, Coleen C.
Curtain, Michelle
Berry, Melissa L.
Ward-Bailey, Patricia F.
Greenstein, Ian
Byers, Candice
Czechanski, Anne
Sharp, Jocelyn
Palmer, Kristina
Gudis, Polyxeni
Martin, Whitney
Tadenev, Abby
Bogdanik, Laurent
Pratt, C. Herbert
Chang, Bo
Schroeder, David G.
Cox, Gregory A.
Cliften, Paul
Milbrandt, Jeffrey
Murray, Stephen
Burgess, Robert
Bergstrom, David E.
Donahue, Leah Rae
Hamamy, Hanan
Masri, Amira
Santoni, Federico A.
Makrythanasis, Periklis
Antonarakis, Stylianos E.
Shendure, Jay
Reinholdt, Laura G.
author_facet Fairfield, Heather
Srivastava, Anuj
Ananda, Guruprasad
Liu, Rangjiao
Kircher, Martin
Lakshminarayana, Anuradha
Harris, Belinda S.
Karst, Son Yong
Dionne, Louise A.
Kane, Coleen C.
Curtain, Michelle
Berry, Melissa L.
Ward-Bailey, Patricia F.
Greenstein, Ian
Byers, Candice
Czechanski, Anne
Sharp, Jocelyn
Palmer, Kristina
Gudis, Polyxeni
Martin, Whitney
Tadenev, Abby
Bogdanik, Laurent
Pratt, C. Herbert
Chang, Bo
Schroeder, David G.
Cox, Gregory A.
Cliften, Paul
Milbrandt, Jeffrey
Murray, Stephen
Burgess, Robert
Bergstrom, David E.
Donahue, Leah Rae
Hamamy, Hanan
Masri, Amira
Santoni, Federico A.
Makrythanasis, Periklis
Antonarakis, Stylianos E.
Shendure, Jay
Reinholdt, Laura G.
author_sort Fairfield, Heather
collection PubMed
description Spontaneously arising mouse mutations have served as the foundation for understanding gene function for more than 100 years. We have used exome sequencing in an effort to identify the causative mutations for 172 distinct, spontaneously arising mouse models of Mendelian disorders, including a broad range of clinically relevant phenotypes. To analyze the resulting data, we developed an analytics pipeline that is optimized for mouse exome data and a variation database that allows for reproducible, user-defined data mining as well as nomination of mutation candidates through knowledge-based integration of sample and variant data. Using these new tools, putative pathogenic mutations were identified for 91 (53%) of the strains in our study. Despite the increased power offered by potentially unlimited pedigrees and controlled breeding, about half of our exome cases remained unsolved. Using a combination of manual analyses of exome alignments and whole-genome sequencing, we provide evidence that a large fraction of unsolved exome cases have underlying structural mutations. This result directly informs efforts to investigate the similar proportion of apparently Mendelian human phenotypes that are recalcitrant to exome sequencing.
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spelling pubmed-44843922016-01-01 Exome sequencing reveals pathogenic mutations in 91 strains of mice with Mendelian disorders Fairfield, Heather Srivastava, Anuj Ananda, Guruprasad Liu, Rangjiao Kircher, Martin Lakshminarayana, Anuradha Harris, Belinda S. Karst, Son Yong Dionne, Louise A. Kane, Coleen C. Curtain, Michelle Berry, Melissa L. Ward-Bailey, Patricia F. Greenstein, Ian Byers, Candice Czechanski, Anne Sharp, Jocelyn Palmer, Kristina Gudis, Polyxeni Martin, Whitney Tadenev, Abby Bogdanik, Laurent Pratt, C. Herbert Chang, Bo Schroeder, David G. Cox, Gregory A. Cliften, Paul Milbrandt, Jeffrey Murray, Stephen Burgess, Robert Bergstrom, David E. Donahue, Leah Rae Hamamy, Hanan Masri, Amira Santoni, Federico A. Makrythanasis, Periklis Antonarakis, Stylianos E. Shendure, Jay Reinholdt, Laura G. Genome Res Research Spontaneously arising mouse mutations have served as the foundation for understanding gene function for more than 100 years. We have used exome sequencing in an effort to identify the causative mutations for 172 distinct, spontaneously arising mouse models of Mendelian disorders, including a broad range of clinically relevant phenotypes. To analyze the resulting data, we developed an analytics pipeline that is optimized for mouse exome data and a variation database that allows for reproducible, user-defined data mining as well as nomination of mutation candidates through knowledge-based integration of sample and variant data. Using these new tools, putative pathogenic mutations were identified for 91 (53%) of the strains in our study. Despite the increased power offered by potentially unlimited pedigrees and controlled breeding, about half of our exome cases remained unsolved. Using a combination of manual analyses of exome alignments and whole-genome sequencing, we provide evidence that a large fraction of unsolved exome cases have underlying structural mutations. This result directly informs efforts to investigate the similar proportion of apparently Mendelian human phenotypes that are recalcitrant to exome sequencing. Cold Spring Harbor Laboratory Press 2015-07 /pmc/articles/PMC4484392/ /pubmed/25917818 http://dx.doi.org/10.1101/gr.186882.114 Text en © 2015 Fairfield et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research
Fairfield, Heather
Srivastava, Anuj
Ananda, Guruprasad
Liu, Rangjiao
Kircher, Martin
Lakshminarayana, Anuradha
Harris, Belinda S.
Karst, Son Yong
Dionne, Louise A.
Kane, Coleen C.
Curtain, Michelle
Berry, Melissa L.
Ward-Bailey, Patricia F.
Greenstein, Ian
Byers, Candice
Czechanski, Anne
Sharp, Jocelyn
Palmer, Kristina
Gudis, Polyxeni
Martin, Whitney
Tadenev, Abby
Bogdanik, Laurent
Pratt, C. Herbert
Chang, Bo
Schroeder, David G.
Cox, Gregory A.
Cliften, Paul
Milbrandt, Jeffrey
Murray, Stephen
Burgess, Robert
Bergstrom, David E.
Donahue, Leah Rae
Hamamy, Hanan
Masri, Amira
Santoni, Federico A.
Makrythanasis, Periklis
Antonarakis, Stylianos E.
Shendure, Jay
Reinholdt, Laura G.
Exome sequencing reveals pathogenic mutations in 91 strains of mice with Mendelian disorders
title Exome sequencing reveals pathogenic mutations in 91 strains of mice with Mendelian disorders
title_full Exome sequencing reveals pathogenic mutations in 91 strains of mice with Mendelian disorders
title_fullStr Exome sequencing reveals pathogenic mutations in 91 strains of mice with Mendelian disorders
title_full_unstemmed Exome sequencing reveals pathogenic mutations in 91 strains of mice with Mendelian disorders
title_short Exome sequencing reveals pathogenic mutations in 91 strains of mice with Mendelian disorders
title_sort exome sequencing reveals pathogenic mutations in 91 strains of mice with mendelian disorders
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4484392/
https://www.ncbi.nlm.nih.gov/pubmed/25917818
http://dx.doi.org/10.1101/gr.186882.114
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