Genomic Inbreeding

New genomic tools that utilize Wagyu genotype data to provide accurate inbreeding measures.

Genomic Inbreeding:

What is inbreeding?  Inbreeding is the mating of individuals that are related through common ancestry.  This can have the effect of narrowing genetic diversity in a population.  High levels of inbreeding in a population are directly related to a higher incidence of homozygosity (no DNA sequence variation), which, if not controlled, can result in other issues such as congenital anomalies (genetic defects) and inbreeding depression (reduced fitness, growth and reproductive performance).

Inbreeding can be managed in individuals by outcrossing to unrelated animals to reintroduce heterozygosity (DNA sequence variation) which results in resetting to low inbreeding levels in progeny. The important thing here is that you can accurately identify inbreeding so that you can manage it if you want to.


Calculating inbreeding: The currently used inbreeding calculations, which use pedigree information in registered populations, cannot account for the relatedness of individuals within the historic Japanese Herdbook pedigrees.  Although the AWA holds the most complete pedigree records for Wagyu, they typically truncate 2-4 generations prior to the export of the Foundation animals from Japan in the 1990’s.  Analysis of the Australian Wagyu Association registered population by AGBU in 2019, estimated that the level of pedigree inbreeding was 6.1%.

Genomic information provides a far more advanced methodology to measure inbreeding by calculating actual homozygosity (blocks of DNA with no allelic variance) rather than pedigree relatedness.  Genomic inbreeding is calculated from analyzing homozygosity using genomic SNP profiles.

AWA now has genomic profiles on more than 300,000 individuals.  Calculation of genomic inbreeding coefficients across registered sires provided a range of inbreeding from 2% to 39% with an average close to 12%.


Examples: The following figure shows the relationship between pedigree inbreeding (x axis) and genomic inbreeding (y axis) across 4,700 Fullblood sires.  The y axis intercept of the line of best fit is at 6%, demonstrating that genomic inbreeding is calculated to be around 6% higher than pedigree inbreeding on average.  There is also a wide spread of individual data points around the line of best fit, demonstrating that there can be significant variation between pedigree (estimated) and genomic (true) inbreeding for any animal.

 

The foundation sire TF Yukiharunami 4 (IMUFQ2599) is highlighted in GREEN.  Based on his pedigree records, the calculated pedigree inbreeding coefficient to Yukiharunami 4 was relatively high at 9.1%, with Dai 7 Itozakura appearing four times in his pedigree.  Analysis of his genomic data shows that his genomic inbreeding coefficient is 8.2%.  This means that Yukiharunami 4’s actual level of inbreeding is slightly lower than previously estimated, despite the back crossing to Dai 7 Itozakura in his pedigree.

For comparison, the foundation sire Itoshigenami (TF148) is shown as the RED dot.  Itoshigenami had a predicted pedigree inbreeding coefficient of 9.7%, which is significantly lower than his genomic inbreeding coefficient of 16.7%.

Two other sires are shown where the genomic inbreeding value differs greatly from the pedigree inbreeding estimate.  Sire A has almost 30% genomic inbreeding, compared to a pedigree inbreeding coefficient of 6.1%.  Sire B has only 8.5% genomic inbreeding, compared to a pedigree inbreeding coefficient of 15.2%.

A third Foundation sire, Kitateryasudoi (IMJFAJ2810) is shown as a MAGENTA dot on the Comparison of Inbreeding Coefficients graph.  His pedigree is shown below as recorded with the AWA and demonstrates a significant number of common ancestors.  Kitateryasudoi himself, has a calculated pedigree inbreeding of 17.7%, whereas his genomic inbreeding coefficient is 31.1%.

It is important to note that even though Kitateryasudoi has a high genomic inbreeding value relative to the population, he is able to produce progeny that have lower inbreeding than he does, through mating to relatively unrelated females.  The below graph shows a distribution plot of 92 sons of Kitateryasudoi, whose genomic inbreeding values range from as low as 5%, up to 35% inbreeding.

The above examples reiterate that the passing of genetic material from parents to progeny is random and even though one can calculate the expected inbreeding from the pedigree, analysis of the genomic information of an animal is the only objective method of assessing “true” inbreeding (homozygosity).  These examples also show that outcrossing of inbred individuals can reset inbreeding to low levels.  The important thing is that breeders can identify and manage inbreeding accurately.

Implications: Genomic inbreeding can be managed by outcrossing to unrelated animals to result in low inbreeding levels in progeny.  For example, a sire with high genomic inbreeding could be used in a breeding program with unrelated females that have diverse genomic profiles (see item 6. Genomic Diversity).  The resulting progeny will have low levels of inbreeding due to the recombination of the unrelated maternal and paternal DNA in offspring (see also Kitateryasudoi example above).

Implementation: Genomic inbreeding coefficients will be published on the Animal Details page for all animals with an acceptable (quantity and quality) SNP genomic profile recorded with the AWA.  This information can be used to accurately understand inbreeding trends within herds and better manage breeding programs to reduce inbreeding over time.

 

IMPORTANT NOTICE - Terms & Conditions


It is a condition of use of this database that you accept these terms and conditions. 

It is important that you appreciate when accessing the Australian Wagyu Association Limited (AWA) database (which may be hosted on an external website) that the information contained on the AWA database, including but not limited to pedigree, DNA information, Wagyu Breeding Values (WBVs) and Index values (together called Database Information), is based on data supplied by AWA members and/or third parties. 

Whilst sincere effort is made to ensure the Database Information is accurate and complete, to the extent permitted by law, AWA, its officers and employees, shall not be responsible for its use or interpretation, and you use the Database Information at your own risk. Please be aware of the following limitations of the Database Information.  

Regarding WBVs and Index values, it is important to appreciate, and you need to be aware that: 

  • WBVs are derived using genetic evaluation technology developed for the AWA, using the information contained within the AWA database. 
  • WBVs are estimates of genetic potential of individual animals and may not reflect the raw animal phenotype. 
  • WBVs can only be directly compared to other WBVs calculated in the same AWA genetic analysis. 

Regarding pedigree and DNA testing results submitted to the AWA, it is important to appreciate, and you need to be aware that: 

  • Animals whose registration identifiers start with PED are Pedigree Recorded Animals. What this means is that the details which AWA used to register the animal were obtained from a Recognised Wagyu Registry Organisation – in other words a Wagyu breed association based outside of Australia. AWA has not independently verified the information with respect to the animal or the details recorded about the animal. You should read AWA’s by-laws which set out details regarding the definition of a Pedigree Recorded Animal. 
  • Pedigree and DNA data submitted and supplied to AWA may have errors in it which cannot be detected without further DNA testing. 
  • Technology may have advanced since a particular test was undertaken so that genetic issues or inaccuracies which were previously not detectable are now able to be detected by current testing technology (i.e. if the animal was tested again with current technology). 
  • AWA estimates that less than 1% of the pedigree entries, ownership or breeding details in the AWA Herdbook may have errors or which may be misleading. For this reason, users ought to consider if they need to obtain independent testing of the relevant animal (if possible) to ensure that the data is accurate. 

Regarding prefectural content, it is important to appreciate, and you need to be aware that: 

  • Prefectural content is based on the estimation of prefectural origin from Japanese breeding records of 201 foundation sires and 168 foundation dams. As genotype-based parent verification is not used in Japan, and full Japanese registration certificates are not available for all foundation animals, exact prefectural composition for these sires and dams cannot be validated. 
  • The calculation of prefectural content for Australian Herdbook animals relies on the accuracy of pedigree records and DNA samples provided by AWA members.   

Regarding DNA testing and genetic condition results submitted to the AWA, it is important to appreciate, and you need to be aware that: 

  • As genetic testing results are provided by independent DNA testing laboratories at the request of AWA members, AWA relies solely on the accuracy of the reporting of genetic testing as completed by the laboratories. 
  • AWA uses GeneProb software to calculate the likelihood of pedigree animals being a carrier of genetic conditions.  This likelihood is an estimate based on the available genetic testing results. 

If you consider that you do not understand or appreciate the nature and/or implications of the data provided on this website or the WBVs of a particular animal, then AWA strongly recommends that you seek expert advice.  Note there is substantial technical information and articles on the Wagyu website to assist our members. 

AWA’s liability for any loss or damage, consequential or otherwise, suffered or incurred by you or your related business, arising directly or indirectly from your use of Database Information, to the extent permitted by law, is limited to AWA providing you with a refund for the fees paid for the service (if any), or AWA re-performing the service, where possible, at the election of AWA.  

AWA administers this database in good faith to support AWA members and the industry. AWA does not represent or warrant that the animals recorded in this database, or animals breed from them, will achieve any particular genetic or phenotype performance.


THIS DISCLAIMER HAS BEEN UPDATED AS OF 03/02/2026, PLEASE ENSURE YOU HAVE READ IT IN DETAIL