Reasons for this apparent difference to our data might include different cell culture conditions, clonality issues, strain and donor species differences or others.
Moreover, the cost per Mb for the use of identical sequencing technologies varies between the identified studies, because they might include different factors like depreciation costs, personal costs, or lab facility costs.
Reasons for this might include different age distributions, different events, and clinical features.
First, the participants did not represent the entire Thai population, which might include different socioeconomic characteristics.
In addition to the different populations used, other causes might include different types of genetic markers and the methods used for the analyses.
The phenotypes under study (CAD stenosis and LDL-C level) are composite and might include different size effects of the polygenic/environmental/genes interactions.
The reasons for this inconsistency might include: different lots of the detergent digitonin used for αβTCR extraction and washing, different detergent/lipid ratios and slightly different purification and separation conditions.
Other factors potentially providing different functional results might include different lesion types, variations in the definition of "insufficient response" to previous therapy, and the type of treatment regimen used with aflibercept.
Reasons might include different outcomes, e g in some studies the outcome is wheeze, in some asthma diagnosis and in others asthma admission 24, 29, 30, 30, 31, 32.
But even more important might be that integrated health care networks often implement additional educational training, put a stronger emphasis on quality circle work, have selective contracts with health sickness funds (what might include different payment systems) etc. Fourth, our systematic search procedure was limited to the Medline database (via PubMed).
