<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>csl</author><text>Note: The following is &lt;i&gt;complete&lt;/i&gt; speculation and probably &lt;i&gt;bullshit&lt;/i&gt;. Please correct me!&lt;p&gt;I can&amp;#x27;t find the actual paper for this one. But reading &lt;i&gt;an older&lt;/i&gt; study [0], also about TMEM106B, it seems they had already established an association between three SNPs and frontotemporal lobar degeneration (FTLD) risk.&lt;p&gt;However, the surprise discovery back then seemed to be the large discrepancy between the controls and the subgroup FTLD-GNR (those with FTLD and GNR mutations) for TT rs6966915 and CC rs1990622. See table 2 in [0], and look at the odds ratios. They are remarkably low for TT&amp;#x2F;CC, which invites further study that may lead to understand how to protect against FTLD (by understanding possible protective mechanisms, even therapies and so on).&lt;p&gt;As for listing out those odds ratios for your 23andMe genome, you can do it with arv [1]. For table 1 in the study (unless you know you have GNR mutations):&lt;p&gt;&lt;pre&gt;&lt;code&gt;  import arv
  
  genome = arv.load(&amp;quot;genome.txt&amp;quot;)
  
  rsid = &amp;quot;rs6966915&amp;quot;
  gt = genome.get_snp(rsid).genotype # plus orientation
  print(&amp;quot;%s %s&amp;quot; % (rsid, arv.unphased_match(gt, {
      &amp;quot;CC&amp;quot;: &amp;quot;CC - OR 0.94&amp;quot;,
      &amp;quot;CT&amp;quot;: &amp;quot;CT - OR 1.04&amp;quot;,
      &amp;quot;TT&amp;quot;: &amp;quot;TT - OR 0.74&amp;quot;})))
  
  rsid = &amp;quot;rs1990622&amp;quot;
  gt = ~genome.get_snp(rsid).genotype # minus orientation
  print(&amp;quot;%s %s&amp;quot; % (rsid, arv.unphased_match(gt, {
      &amp;quot;TT&amp;quot;: &amp;quot;TT - OR 0.93&amp;quot;,
      &amp;quot;CT&amp;quot;: &amp;quot;CT - OR 1.04&amp;quot;,
      &amp;quot;CC&amp;quot;: &amp;quot;CC - OR 0.74&amp;quot;})))
&lt;/code&gt;&lt;/pre&gt;
Again, did I say that I&amp;#x27;m a complete noob? Be very careful drawing conclusions from the program (or believing I know what I&amp;#x27;m talking about --- I don&amp;#x27;t!)&lt;p&gt;[0]: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;www.ncbi.nlm.nih.gov&amp;#x2F;pmc&amp;#x2F;articles&amp;#x2F;PMC3034409&amp;#x2F;&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;www.ncbi.nlm.nih.gov&amp;#x2F;pmc&amp;#x2F;articles&amp;#x2F;PMC3034409&amp;#x2F;&lt;/a&gt;&lt;p&gt;[1]: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;cslarsen&amp;#x2F;arv&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;github.com&amp;#x2F;cslarsen&amp;#x2F;arv&lt;/a&gt;</text><parent_chain></parent_chain></comment><story><title>Genetic variant accelerates normal brain aging in older people by up to 12 years</title><url>http://neurosciencenews.com/genetics-brain-aging-6250</url></story>
<instructions>Your goal is to analyze the following comment and estimate how highly it will be upvoted by the Hacker News community.</instructions><comment><author>calebm</author><text>Looks like the main SNP in consideration is: &lt;a href=&quot;https:&amp;#x2F;&amp;#x2F;www.snpedia.com&amp;#x2F;index.php&amp;#x2F;Rs1990622&quot; rel=&quot;nofollow&quot;&gt;https:&amp;#x2F;&amp;#x2F;www.snpedia.com&amp;#x2F;index.php&amp;#x2F;Rs1990622&lt;/a&gt;. Anyone see the particular allele value that increases risk? My guess (looking at some genetic family data) is if you having an &amp;quot;A&amp;quot; instead of a &amp;quot;G&amp;quot; is the mutation - can anyone confirm?</text><parent_chain></parent_chain></comment><story><title>Genetic variant accelerates normal brain aging in older people by up to 12 years</title><url>http://neurosciencenews.com/genetics-brain-aging-6250</url></story>