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Toward interactive visual
tools for comparing
phenotype profiles
Charles Borromeo, Jeremy Espino, Ncole L. Washington, Maryann
Martone, Christopher J. Mungall, Melissa A. Haendel, Harry Hochheiser
Goal: Visually compare patient
phenotypes across species
2
▪ Ontological similarity of
phenotype profiles within
human and across taxa can
inform diagnosis and
identify models	
  
!
▪ Challenge: interpret
correspondences between
input phenotypes and
matches within and across
species
How do models recapitulate
disease?3
b2b1035Clo	
  
(aka Blue Meanie)
b2b012Clo	
  
(aka Heart Under Glass)
Fgfr2
Fuzb2b1273Clo	
  
(aka octomouse)
Duplex kidney	
  
Cleft palate	
  
Prenatal growth retardation	
  
Tricuspid valve atresia	
  
Persistent truncus arteriosis	
  
Double outlet right ventricle	
  
Anophthalmia	
  
Microphthalmia	
  
Kidney cysts	
  
Pulmonary valve atresia	
  
Polycystic kidney	
  
Ventricular septal defect	
  
Common atrium	
  
Atrioventricular septal defect	
  
Complete atrioventricular septal defect	
  
……
Cleft palate	
  
Abnormal sternum morphology	
  
Double outlet right ventricle	
  
Polydactyly	
  
Pulmonary hypoplasia	
  
Kidney cysts	
  
Duplex kidney	
  
Right aortic arch	
  
Common atrium	
  
Complete atrioventricular septal defect	
  
Pulmonary artery atresia
Why is visualization needed?
4
Human phenotypes!
p1!
.!
.!
.!
pn
Model 1 phenotypes!
m1,1!
.!
.!
.!
m1,j
Model m phenotypes!
mm,1!
.!
.!
.!
mm,k
n input phenotypes!
m models!
!
O(nm) comparisons!
!
O(102) phenotypes !
!
O(103) models
Need a dense display!
to facilitate comparisons !
and !
access details..
Questions and Challenges
5
Patient phenotypes
Which input phenotypes are well-covered across multiple models?
Which phenotypes are not frequently recapitulated?
.. and might therefore be particularly useful for diagnosis?
Which model diseases are most similar?
Models
Which models are most similar to an input phenotype profile?
Which models are similar to each other?
… and how do they differ?
How do different types of models compare?
Mouse, zebrafish, fly….
Known diseases, other patients?
Relationships
Why is a given input phenotype similar to a model phenotype?
PhenoGrid Overview display
6
Top matches for human, mouse, and zebrafish
Human disease comparisons
7
Comparison with mouse genes
8
Demo…
9
Implementation Details
Monarch-app (Middleware)
NIF architecture and data
services
Client
Server
jQuery D3
HTML5
Phenogrid Widget
jQuery widget suitable for integration into 3rd party sites
Code:! ! ! ! ! http://www.github.com/monarch-initiative/monarch-app!
Deployment instructions:! http://www.monarchinitiative.org/page/phenogrid
Next steps…
11
Detailed explanation of phenotype similarity results
Additional comparisons:
phenotype profile against other patients, or all orthologs of a given
gene
comparing subtypes of a disease
Contributions of individual phenotypes?
What if I remove the phenotype?
Additional next steps..
12
Add other data sources: proteins, pathways, etc.
!
Choose profiles to compare
!
Hierarchical display of phenotypes.. use ontology
structure.
!
Integrate other data network views
Acknowledgements
13
LBNL
¤ Chris Mungall
¤ Suzanna Lewis
¤ Nicole Washington
!
OHSU
¤ Melissa Haendel
!
NIH – UDP
¤ Neal Boerkoel
Charité / HPO	
  
¤ Peter Robinson	
  
¤ Sebastian Kohler	
  
!
Sanger / Exomizer	
  
¤ Damian Smedley	
  
!
UCSD / NIF 	
  
¤ Maryann Martone
!
University of Pittsburgh	
  
¤ Becky Boes
¤ Charles Borromeo
Funding:	
  
NIH Office of Director: 1R24OD011883	
  
NIH-UDP: HHSN268201300036C
http://www.monarchinitiative.org

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Toward interactive visual tools for comparing phenotype profiles

  • 1. Toward interactive visual tools for comparing phenotype profiles Charles Borromeo, Jeremy Espino, Ncole L. Washington, Maryann Martone, Christopher J. Mungall, Melissa A. Haendel, Harry Hochheiser
  • 2. Goal: Visually compare patient phenotypes across species 2 ▪ Ontological similarity of phenotype profiles within human and across taxa can inform diagnosis and identify models   ! ▪ Challenge: interpret correspondences between input phenotypes and matches within and across species
  • 3. How do models recapitulate disease?3 b2b1035Clo   (aka Blue Meanie) b2b012Clo   (aka Heart Under Glass) Fgfr2 Fuzb2b1273Clo   (aka octomouse) Duplex kidney   Cleft palate   Prenatal growth retardation   Tricuspid valve atresia   Persistent truncus arteriosis   Double outlet right ventricle   Anophthalmia   Microphthalmia   Kidney cysts   Pulmonary valve atresia   Polycystic kidney   Ventricular septal defect   Common atrium   Atrioventricular septal defect   Complete atrioventricular septal defect   …… Cleft palate   Abnormal sternum morphology   Double outlet right ventricle   Polydactyly   Pulmonary hypoplasia   Kidney cysts   Duplex kidney   Right aortic arch   Common atrium   Complete atrioventricular septal defect   Pulmonary artery atresia
  • 4. Why is visualization needed? 4 Human phenotypes! p1! .! .! .! pn Model 1 phenotypes! m1,1! .! .! .! m1,j Model m phenotypes! mm,1! .! .! .! mm,k n input phenotypes! m models! ! O(nm) comparisons! ! O(102) phenotypes ! ! O(103) models Need a dense display! to facilitate comparisons ! and ! access details..
  • 5. Questions and Challenges 5 Patient phenotypes Which input phenotypes are well-covered across multiple models? Which phenotypes are not frequently recapitulated? .. and might therefore be particularly useful for diagnosis? Which model diseases are most similar? Models Which models are most similar to an input phenotype profile? Which models are similar to each other? … and how do they differ? How do different types of models compare? Mouse, zebrafish, fly…. Known diseases, other patients? Relationships Why is a given input phenotype similar to a model phenotype?
  • 6. PhenoGrid Overview display 6 Top matches for human, mouse, and zebrafish
  • 10. Implementation Details Monarch-app (Middleware) NIF architecture and data services Client Server jQuery D3 HTML5 Phenogrid Widget jQuery widget suitable for integration into 3rd party sites Code:! ! ! ! ! http://www.github.com/monarch-initiative/monarch-app! Deployment instructions:! http://www.monarchinitiative.org/page/phenogrid
  • 11. Next steps… 11 Detailed explanation of phenotype similarity results Additional comparisons: phenotype profile against other patients, or all orthologs of a given gene comparing subtypes of a disease Contributions of individual phenotypes? What if I remove the phenotype?
  • 12. Additional next steps.. 12 Add other data sources: proteins, pathways, etc. ! Choose profiles to compare ! Hierarchical display of phenotypes.. use ontology structure. ! Integrate other data network views
  • 13. Acknowledgements 13 LBNL ¤ Chris Mungall ¤ Suzanna Lewis ¤ Nicole Washington ! OHSU ¤ Melissa Haendel ! NIH – UDP ¤ Neal Boerkoel Charité / HPO   ¤ Peter Robinson   ¤ Sebastian Kohler   ! Sanger / Exomizer   ¤ Damian Smedley   ! UCSD / NIF   ¤ Maryann Martone ! University of Pittsburgh   ¤ Becky Boes ¤ Charles Borromeo Funding:   NIH Office of Director: 1R24OD011883   NIH-UDP: HHSN268201300036C