Is it possible to load export files from AncestryDNA into IGB?
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8.7 years ago
drmoose94 ▴ 20

See title. There's not a lot more than that to say :) Thanks.

igb • 4.2k views
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8.7 years ago
Nowlan Freese ▴ 860

Hi drmoose94,

Yes, it is possible to load the raw data files from AncestryDNA into IGB. You will need to convert the raw data into BED detail format first (https://genome.ucsc.edu/FAQ/FAQformat.html#format1.7), and then you can drag and drop the file directly into IGB.

So here's what my original data from AncestryDNA would have looked like:

rs4477212    1    82154    T    T
rs3131972    1    752721    G    G
rs12562034    1    768448    A    G

And here's what it would look like in bed detail format:

chr1    82153    82154    rs4477212    0    +    82153    82154    0,0,255    1    1    0    rs4477212    TT
chr1    752720    752721    rs3131972    0    +    752720    752721    0,0,255    1    1    0    rs3131972    GG
chr1    768447    768448    rs12562034    0    +    768447    768448    0,0,255    1    1    0    rs12562034    AG

The AncestryDNA data is from the 2009, build 37.1 human genome version, so make sure to choose this version when loading the data into IGB.

One of the optional plug-ins for IGB converts raw 23andMe SNP data into a BED file for viewing. AncestryDNA data is quite similar to 23andMe data, so we could add a new plug-in to convert AncestryDNA as well.

Hope this helps,
Nowlan

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8.7 years ago
h.mon 35k

In fact there is more to say, for example, what is the kind of data you get from them?

But supposing you can download a list of SNPs and genomic positions (and they tell you which is the correct reference genome version, if public, or provide you with one, if private) then yes, you can load the data on IGB or other genome browser, probably after some data massaging.

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8.7 years ago
drmoose94 ▴ 20

Hi,

The data provided by AncestryDNA is a zipped .TXT file containing lines of data in this format:

rsid    chromosome    position    allele1    allele2
rs4477212    1    82154    T    T
rs3131972    1    752721    G    G
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So it seems it is indeed possible, but you still needs to know the reference genome version.

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