# A quick visualization method to help determine the sex of given samples in a GenomeStudio Methylation project

The following method assumes a working knowledge of the GenomeStudio Methylation Module, and the analysis of data from an Infinium Methylation Array, such as Methylation450K, MethylationEPIC, or MethylationEPIC v2, or a custom methylation array that contains a significant number of markers being assayed that are on the Y chromosome. It also assumes that there is a mixture of samples with regard to sex.

Step 1: filter the sample methylation profile for Y chromosome markers, then compare the intensities for the samples across the project.

* In the sample Methylation Profile table, click on the "Filter" button\
  ![](/files/vcWnrSmhAQFIJLP9UV2S)
* In the subsequent pop-up window, create a filter: "CHR = Y"\
  ![](/files/va8vylXbPA5vlP5y3O6D)
  * IMPORTANT NOTE - If your data was analyzed using the manifest "EPIC-8v2-0\_A1.bpm", the chromosome designations are unlike all other MethylationEPIC manifests, in that they include a prefix "chr".\
    ![](/files/KTe19fgx2cl4V7n0fS9Y)

    In this case, the Value input for the chromosome must include this prefix, i.e. the filter must read "Chr = chrY", otherwise the filter will not recognize the chromosome designation correctly.\
    ![](/files/qESVqIyppCZgOGo37MqY)
* Click on "OK". The displayed markers in the Sample Methylation Profile table will now consist only of Y-chromosome markers\
  ![](/files/KFvJnsCWcgpeXz9KZLMb)

Step 2 - inspect the Y-chromosome intensity values for the samples in the Sample Methylation Profile table.

* In the Sample Methylation Profile, click on the Box plot button\
  ![](/files/SCQ6J59wKvK9ikfEzr9P)
* In the subsequent pop-up window, select the "Intensity" sub column. Females will have near background intensities, while males will show elevated intensity boxes.\
  ![](/files/mBrXau0yATuH69Y4Fprn)

**Alternative method**

The following publication describes an alternate method utilizing the beta values from the X chromosome to determine sex from Infinium Methylation data:

Wang Y, Hannon E, Grant OA, Gorrie-Stone TJ, Kumari M, Mill J, Zhai X, McDonald-Maier KD, Schalkwyk LC. DNA methylation-based sex classifier to predict sex and identify sex chromosome aneuploidy. BMC Genomics. 2021 Jun 28;22(1):484. doi: 10.1186/s12864-021-07675-2. PMID: 34182928; PMCID: PMC8240370.

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240370/>

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| *For any feedback or questions regarding this article (Illumina Knowledge Article #8918), contact Illumina Technical Support* [*techsupport@illumina.com*](mailto:techsupport@illumina.com?subject=Question%2FFeedback%20Regarding%20Illumina%20Knowledge%20Article%20#000008918%20-%20Microarray%20\&body=Dear%20Illumina%20Technical%20Support,%0D%0A%0D%0A)*.* |


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