i upload my raw data and showed me that i have type 1 diabetes and dchizophrenia and couple of another disease.i used to make my dna data from ancestry com and i download my data to here
i knew i was also autistic.it was so obvious.thank god its nıt because of my traumas.if this was because of my traumas i was so upset and regret
Thanks for the website. I was homozygous for about 18 alleles of schizophrenia and heterozygous for some others but it says average for my risk. Don’t know what that means. Had other things like Alzheimer’s, colorectal cancer, dementia. But my highest risks were average. Had diabetes 1 too.
i think we have same risks or this website is scam.i dk.but my grand father and my father had alzhemer one of my cousine type 1 diabetes .also autistic .so it seem valid.ok.now i get it.bold characters are active link.and when you press it show the chance of getting this disease.sorry.my lactose tolerance are high and others are average
Well I had 18 homozygous alleles in red and 12 heterozygous alleles in yellow. I doubt if we have those, the same. For schizophrenia. Many of those said a risk for schizophrenia or bipolar. I had 3 homozygous alleles for autism and 8 heterozygous alleles for autism with an average risk.
as far as i remember you were biologist aren t you.can you analyse my results also?
i have 15 red and 22 yellow
https://tendna.com/download/report-tendna.pdf#page29
37 of 92 alleles are not good. nearly half of my alleles are sick
Nothing came up for me. I just meant that we didn’t have the same results, because I have a different number of red and yellow alleles. The results just show if you inherited genes for those conditions. After each condition, it tells whether your risk for developing the illness is low, average or high. A homozygous result in red, means you got an alele from each parent. Heterozygous in yellow means you got 1 alele from 1 parent, and your gene is heterozygous, which is not as strong as homozygous for some genes. Others it just takes 1 alele to be positive for that gene.
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