We have replied to Yann off list, but for the benefit of others on the list who 
are interested in the HCP genetic data:

If you have questions about the HCP dbGaP data, please send them to 
[email protected]<mailto:[email protected]> – it’s a 
central collection place from where the questions are forwarded to the 
appropriate curator.


With our focus on the neuroimaging and behavioral data we distribute, we no 
longer have a team of geneticists consulting for the HCP, so you will get your 
best info from the dbGaP folks who are experts in using the genetic data they 
distribute.

Best,
Jenn

Jennifer Elam, Ph.D.
Scientific Outreach, Human Connectome Project
Washington University School of Medicine
Department of Neuroscience, Box 8108
660 South Euclid Avenue
St. Louis, MO 63110
314-362-9387<tel:314-362-9387>
[email protected]<mailto:[email protected]>
www.humanconnectome.org<http://www.humanconnectome.org/>


________________________________
From: [email protected] 
<[email protected]> on behalf of LE GUEN Yann 
<[email protected]>
Sent: Tuesday, August 14, 2018 2:52:42 PM
To: [email protected]
Subject: [HCP-Users] Documentation HCP genetic data

Dear HCP users,

I am looking for the documentation of the HCP data online (other than the few 
pdfs and .txt in the downloaded data) ?

In particular, I would like to know a few things:

1) In which version genome build coordinates (GRCh37 or GRCh38) are the HCP 
genetic data released?

2) Is there any correspondence files for the SNPs names on the MEGA and Neuro 
chips ?
For example, (lines below do not provide confidential information on the 
subjects) the .bim starts this way:
1    1:49554-G-A    0    49554    G    A
1    JHU_1.55325    0    55326    T    C
1    JHU_1.56018    0    56019    C    T
1    JHU_1.61461    0    61462    A    T
1    JHU_1.66161    0    66162    0    A
1    JHU_1.84138    0    84139    0    A
1    JHU_1.86330    0    86331    G    A
1    JHU_1.88337    0    88338    A    G
1    rs376723915    0    91516    0    A
1    JHU_1.91535    0    91536    G    T

I would like to convert JHU_* and CHR:POS-A1-A2 in rs ids names more commonly 
used such as rs376723915.

3) Maybe, I haven't looked carefully for it yet.. But, do you know where is the 
documentation describing the content of the genetic files such as 
ganon*_CHR.csv, infoCHR.csv, ganong*_CHR.sas7dbat, infoCHR.sas7dbat, 
fin_hcp_dose_cCHR_chunk*,  hcp_impute2_chrCHRchunk*, etc .. ? and recommended 
protocol to read/convert them for further analysis? These are text files likely 
readable as dataframes and their content is partly described by their columns 
names. However, I am looking for a documentation that would already gather all 
information and an efficient way to convert them to plink or bgen format 
(smaller binary files).

Best regards, Yann





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