{"action":"closed","issue":{"url":"https://api.github.com/repos/Clinical-Genomics/NIPT/issues/42","repository_url":"https://api.github.com/repos/Clinical-Genomics/NIPT","labels_url":"https://api.github.com/repos/Clinical-Genomics/NIPT/issues/42/labels{/name}","comments_url":"https://api.github.com/repos/Clinical-Genomics/NIPT/issues/42/comments","events_url":"https://api.github.com/repos/Clinical-Genomics/NIPT/issues/42/events","html_url":"https://github.com/Clinical-Genomics/NIPT/issues/42","id":189382974,"number":42,"title":"Enhancement of XY-plot, the X0/XY samples","user":{"login":"alieden","id":22740092,"avatar_url":"https://avatars3.githubusercontent.com/u/22740092?v=4","gravatar_id":"","url":"https://api.github.com/users/alieden","html_url":"https://github.com/alieden","followers_url":"https://api.github.com/users/alieden/followers","following_url":"https://api.github.com/users/alieden/following{/other_user}","gists_url":"https://api.github.com/users/alieden/gists{/gist_id}","starred_url":"https://api.github.com/users/alieden/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/alieden/subscriptions","organizations_url":"https://api.github.com/users/alieden/orgs","repos_url":"https://api.github.com/users/alieden/repos","events_url":"https://api.github.com/users/alieden/events{/privacy}","received_events_url":"https://api.github.com/users/alieden/received_events","type":"User","site_admin":false},"labels":[{"id":334284302,"url":"https://api.github.com/repos/Clinical-Genomics/NIPT/labels/enhancement","name":"enhancement","color":"84b6eb","default":true}],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":{"url":"https://api.github.com/repos/Clinical-Genomics/NIPT/milestones/1","html_url":"https://github.com/Clinical-Genomics/NIPT/milestone/1","labels_url":"https://api.github.com/repos/Clinical-Genomics/NIPT/milestones/1/labels","id":2134345,"number":1,"title":"Version 2.2","description":"","creator":{"login":"vwirta","id":2646553,"avatar_url":"https://avatars2.githubusercontent.com/u/2646553?v=4","gravatar_id":"","url":"https://api.github.com/users/vwirta","html_url":"https://github.com/vwirta","followers_url":"https://api.github.com/users/vwirta/followers","following_url":"https://api.github.com/users/vwirta/following{/other_user}","gists_url":"https://api.github.com/users/vwirta/gists{/gist_id}","starred_url":"https://api.github.com/users/vwirta/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/vwirta/subscriptions","organizations_url":"https://api.github.com/users/vwirta/orgs","repos_url":"https://api.github.com/users/vwirta/repos","events_url":"https://api.github.com/users/vwirta/events{/privacy}","received_events_url":"https://api.github.com/users/vwirta/received_events","type":"User","site_admin":false},"open_issues":4,"closed_issues":3,"state":"open","created_at":"2016-11-14T17:44:15Z","updated_at":"2018-04-23T08:58:55Z","due_on":"2017-11-29T08:00:00Z","closed_at":null},"comments":3,"created_at":"2016-11-15T12:47:21Z","updated_at":"2018-04-23T08:58:55Z","closed_at":"2018-04-23T08:58:55Z","author_association":"NONE","body":"As is evident from the XY plot we really have a group of samples that we were not really expecting, that is the XY samples showing lower X signal than expected (marked with arrows). Illumina apparently ignores if samples are deviating this way. These will probably almost always be explained by a small population of X0 cells in the mothers blood (normal variation). However, since X0/XY mosaicism in the fetus (and also some other aberrations) could give the same result we will have to continue to do follow-up for these samples. You could change the status for these to \"other\" to differentiate from \"normal X0\" samples without Y chromosome signal but then you loose the quick overview regarding follow-up information for these samples. I think the only solution would be to add another analyte called XO/XY? What do you think? Other suggestions?\r\n\r\n![x0_xy_samples](https://cloud.githubusercontent.com/assets/22740092/20306335/02bcbea0-ab3a-11e6-995b-05c45617b0a3.png)\r\n"}}
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