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Comparison of predicted and actual consequences of missense mutations

dc.contributor.authorMiosge, Lisa
dc.contributor.authorField, Matthew
dc.contributor.authorSontani, Yovina
dc.contributor.authorCho, Eun
dc.contributor.authorJohnson, Simon
dc.contributor.authorPalkova, Anna
dc.contributor.authorBalakishnan, Bhavani
dc.contributor.authorLiang, Rong
dc.contributor.authorZhang, Yafei
dc.contributor.authorLyon, Stephen
dc.contributor.authorBeutler, Bruce
dc.contributor.authorWhittle, Belinda
dc.contributor.authorBertram, Edward
dc.contributor.authorEnders, Anselm
dc.contributor.authorGoodnow, Christopher
dc.contributor.authorAndrews, Thomas Daniel
dc.date.accessioned2015-12-13T22:37:34Z
dc.date.available2015-12-13T22:37:34Z
dc.date.issued2015
dc.date.updated2015-12-11T09:37:10Z
dc.description.abstractEach person's genome sequence has thousands of missense variants. Practical interpretation of their functional significance must rely on computational inferences in the absence of exhaustive experimental measurements. Here we analyzed the efficacy of these inferences in 33 de novo missense mutations revealed by sequencing in first-generation progeny of N-ethyl-N-nitrosourea- treated mice, involving 23 essential immune system genes. Poly- Phen2, SIFT, MutationAssessor, Panther, CADD, and Condel were used to predict each mutation's functional importance, whereas the actual effect was measured by breeding and testing homozygotes for the expected in vivo loss-of-function phenotype. Only 20% of mutations predicted to be deleterious by PolyPhen2 (and 15% by CADD) showed a discernible phenotype in individual homozygotes. Half of all possible missense mutations in the same 23 immune genes were predicted to be deleterious, and most of these appear to become subject to purifying selection because few persist between separate mouse substrains, rodents, or primates. Because defects in immune genes could be phenotypically masked in vivo by compensation and environment, we compared inferences by the same tools with the in vitro phenotype of all 2,314 possible missense variants in TP53; 42% of mutations predicted by PolyPhen2 to be deleterious (and 45% by CADD) had little measurable consequence for TP53-promoted transcription. We conclude that for de novo or low-frequency missense mutations found by genome sequencing, half those inferred as deleterious correspond to nearly neutral mutations that have little impact on the clinical phenotype of individual cases but will nevertheless become subject to purifying selection.
dc.identifier.issn0027-8424
dc.identifier.urihttp://hdl.handle.net/1885/77152
dc.publisherNational Academy of Sciences (USA)
dc.sourcePNAS - Proceedings of the National Academy of Sciences of the United States of America
dc.titleComparison of predicted and actual consequences of missense mutations
dc.typeJournal article
local.bibliographicCitation.issue37
local.bibliographicCitation.lastpageE5198
local.bibliographicCitation.startpageE5189
local.contributor.affiliationMiosge, Lisa, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationField, Matthew, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationSontani, Yovina, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationCho, Eun, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationJohnson, Simon, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationPalkova, Anna, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationBalakishnan, Bhavani, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationLiang, Rong, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationZhang, Yafei, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationLyon, Stephen, University of Texas Southwestern Medical Denter
local.contributor.affiliationBeutler, Bruce, University of Texas Southwestern Medical Denter
local.contributor.affiliationWhittle, Belinda, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationBertram, Edward, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationEnders, Anselm, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationGoodnow, Christopher, College of Medicine, Biology and Environment, ANU
local.contributor.affiliationAndrews, Thomas Daniel, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidMiosge, Lisa, u9817053
local.contributor.authoruidField, Matthew, u4991372
local.contributor.authoruidSontani, Yovina, u4177200
local.contributor.authoruidCho, Eun, u4449930
local.contributor.authoruidJohnson, Simon, u4873954
local.contributor.authoruidPalkova, Anna, u4834673
local.contributor.authoruidBalakishnan, Bhavani, u4078162
local.contributor.authoruidLiang, Rong, u4234985
local.contributor.authoruidZhang, Yafei, u9808799
local.contributor.authoruidWhittle, Belinda, u9503602
local.contributor.authoruidBertram, Edward, u4056697
local.contributor.authoruidEnders, Anselm, u4265664
local.contributor.authoruidGoodnow, Christopher, u9710462
local.contributor.authoruidAndrews, Thomas Daniel, u3508431
local.description.notesImported from ARIES
local.identifier.absfor110706 - Immunogenetics (incl. Genetic Immunology)
local.identifier.absseo920108 - Immune System and Allergy
local.identifier.absseo920110 - Inherited Diseases (incl. Gene Therapy)
local.identifier.ariespublicationU3488905xPUB6039
local.identifier.citationvolume112
local.identifier.doi10.1073/pnas.1511585112
local.identifier.scopusID2-s2.0-84941656377
local.type.statusPublished Version

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