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Table 3 Overlapped 1-Mb windows between response variables for uniformity (dEBVv, dEBVv_r0 and ln_\( {\upsigma}_{\widehat{\mathrm{e}}}^2 \))

From: Genomic regions underlying uniformity of yearling weight in Nellore cattle evaluated under different response variables

Windowsa

Shared by

% Variance Explainedb (BFc)

Candidate Genesd

dEBVv

dEBVv_r0

ln_\( {\upsigma}_{\widehat{\mathrm{e}}}^2 \)

dEBVv

dEBVv_r0

ln_\( {\upsigma}_{\widehat{\mathrm{e}}}^2 \)

Chr12_5

X

X

 

1.69 (23.48)

0.19 (1.99)

 

–

Chr22_52

X

 

X

1.73 (33.97)

 

0.72 (18.37)

UBA7, IP6K1, GMPPB, RNF123, MST1, APEH, AMT, RHOA, USP4, USP19, IMPDH2, NDUFAF3, SLC25A20, PRKAR2A, IP6K2, UQCRC1, UCN2, PFKFB4, SHISA5

Chr6_105

 

X

X

 

0.29 (2.94)

0.91 (12.74)

NUDT9, SPARCL1, DSPP, DMP1, MAN2B2, PPP2R2C, JAKMIP1

Chr9_8

 

X

X

 

0.28 (3.05)

0.67 (13.08)

ADGRB3

  1. dEBVv: deregressed EBV for residual variance of yearling weight; dEBVv_r0 and ln_\( {\upsigma}_{\widehat{\mathrm{e}}}^2 \): deregressed EBV for residual variance and log-transformed variance of estimated residuals, respectively, both assuming null genetic correlation between mean and residual variance
  2. a Represented by chromosome (Chr) and physical position (in Mb) (i.e. Chr_Mb)
  3. b Proportion of genetic variance in each 1-Mb window
  4. c Single nucleotide polymorphism (SNP) with the highest Bayes Factor (BF) within each 1-Mb window
  5. d Ensembl Database UMD3.1. See the complete gene list in each window in Additional file 1