Cassavabase SolGS presentation PAG 2016

solGS:  A  Web-­based  Solution  for  
Genomic  Selection
Isaak  Y  Tecle,  Naama  Menda,  Guillaume  
Bauchet,  Lukas  Mueller
Tecle  et  al.  Bioinformatics  2014,  15:398
Phenotyped  
&  
genotyped  individuals
Genomic  selection…
Prediction  model
Predicted  
breeding
Values  (GEBVs)
Genotyped  selection  
candidates
Training  population
Challenges…
n Data  volume,  storage
n Data  structuring,  cleaning,  imputation
n Statistical  analysis  complexity
n visualization  and  sharing
solGS  webtool
http://cassavabase.org/solgs
What  you  can  do  with  solGS…
n Store  data
n Chado  Natural  Diversity  schema
n Compose  training  populations
n Build  models  and  predict  breeding  
values  of  selection  candidates
n Test  model  accuracy  
What  you  can  do  with  solGS…
n Explore  phenotype  data,  population  
structure
n Check  on  relationship  between  GEBVs  
vs  observed  phenotypes
n Calculate  selection  indices,  correlation  
n Visualize  data  on  interactive  plots
What  is  the  statistical  approach  
behind  solGS?
…preparing  data
n Omits  individuals  completely  missing  
phenotype  values
n Adjusts  phenotype  values  for  block  
effects
n Averages  across  multiple  trials  after  
adjusting  for  block  effects
n Imputes  missing  marker  data
n Median  substitution
…statistical  modeling
n Univariate
n RR-­BLUP
n Endelman,  Plant  Genome  (2010)
n GBLUP  
n Marker-­based  realized  relationship  matrix
n Prediction  accuracy
n Based  on  10-­fold  cross-­validation
How  does  solGS  work?
Cassavabase SolGS presentation PAG 2016
Composing  a  training  population:  
Fitting  a  prediction  model...
3  options
Cassavabase SolGS presentation PAG 2016
Fitting  a  prediction  model…
Option  1:  
Search  using  a  trait  name
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Estimating  breeding  values  of  
selection  candidates
Applying  the  model…
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Fitting  a  prediction  model…
Option  2:  
Search  for  trials
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Estimating  breeding  values  of  a  
selection  candidates  for  multiple  
traits
Applying  the  models…
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
Estimating  genetic  correlations
Cassavabase SolGS presentation PAG 2016
Calculating  selection  indices
Cassavabase SolGS presentation PAG 2016
Fitting  a  prediction  model…
Option  3:  
use  your  own  list  of  individuals
Cassavabase SolGS presentation PAG 2016
Cassavabase SolGS presentation PAG 2016
To  sum  up…
n Store  data
n Build  prediction  models
n Estimate  breeding  values
n Additional  analyses:  
n Correlation  analysis
n Population  structure
n Selection  indices
n http://cassavabase.org/solgs
n Open  source  code
Thanks  to…
Cassavabase SolGS presentation PAG 2016
Many  thanks!!
Background  image:  nextgencassava.org
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