Smoking “causes hundreds of DNA changes”
Unless I am misunderstanding something, their figure 3 seems to be plotting effect size vs p-value... So all it would be showing is that they had more data from lung adenocarcinomas (ie sample size is larger for that cancer type). It isn&#x27;t 100% clear to me if they shared the data used for that figure, but here are the frequencies each cancer type appeared in table S1:<p><pre><code>  Acute myeloid leukaemia (AML)                       Bladder 
                            202                           399 
                         Cervix             Colorectal cancer 
                            168                           559 
      Esophageal Adenocarcinoma           Esophageal Squamous 
                            242                           292 
                 Gastric cancer                        Kidney 
                            472                           257 
                         Larynx                         Liver 
                            123                           392 
                     Lung Adeno                 Lung Squamous 
                            678                           175 
                    Oral cavity                Ovarian cancer 
                            363                           458 
                       Pancreas                       Pharynx 
                            239                            76 
         Small Cell Lung Cancer 
                            148 
</code></pre>
It is essentially just figure 1 from here:
<a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1311.0081" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;1311.0081</a>