All genotyping projects, regardless of access pathway, follow the sample requirements listed below. Sequencing project requirements can be found on these pages:
We request more DNA than is required to attempt a study experiment once using manual processing for the following reasons:
Optimal results are obtained with high molecular weight genomic DNA. The higher end of the concentration range is recommended for optimal performance for downstream copy number analysis.
Product |
Minimum # Experimental Samples |
DNA Volume (ul) |
Genomic DNA Concentration (ng/ul) |
Whole Genome Amplified DNA Concentration (ng/ul) * |
ExomeArray Products | ||||
HumanExome HumanExomePlus HumanOmniExpressExome HumanOmni2.5Exome | 92 |
25 |
50-100 |
100-200 |
|
|
|
|
|
HumanOmni5Exome | 46 |
35 |
50-100 |
100-200 |
GWAS Products | ||||
HumanOmni2.5 HumanOmniExpress HumanOmniExpress FFPE |
92 |
25 |
50-100 |
100-200 |
|
|
|
|
|
HumanOmni5 |
46 |
35 |
50-100 |
100-200 |
GWAS Semi-Custom Products | ||||
Human OmniExpressPlus Human Omni2.5 Plus |
1,104 |
25 |
50-100 |
100-200 |
|
|
|
|
|
HumanOmni5Plus |
1,104 |
35 |
50-100 |
100-200 |
GWAS Supplemental Array products | ||||
| HumanOmni1 Supplemental, HumanOmni2.5 Supplemental | 92 |
25 |
50-100 |
100-200 |
Methylation | ||||
HumanMethylation 450K |
460 |
45 |
25 |
Not Applicable |
Custom Golden Gate | ||||
Custom SNP Panel Custom Methylation Panel |
360 |
25 |
75-150 |
200-400 |
Custom iSelect (Infinium) | ||||
Custom Panel |
1,104 |
25 |
50-100 |
100-200 |
Focused Content | ||||
Cardio-Metabochip Immunochip |
92 |
25 |
50-100 |
100-200 |
Focused Content Semi-Custom | ||||
Cardio-Metabochip Plus Immunochip Plus |
1,104 |
25 |
50-100 |
100-200 |
Linkage | ||||
Human Linkage |
88 |
25 |
50-100 |
100-200 |
|
|
|
|
|
Mouse Medium Density Linkage Panel |
82 |
25 |
75-150 |
200-400 |
|
|
|
|
|
* Whole Genome Amplified (WGA) DNA Information
Based on our experience with the products and services we provide, we discourage
the use of WGA samples, especially for Infinium chemistry based assays (GWAS and iSelect custom studies). The ending concentration of WGA samples is not indicative
of sample quality.
If you do submit WGA samples, you should anticipate a higher non-random missing data rate and perhaps a slightly higher error rate than for genomic DNA. WGA DNA will not give usable results for downstream copy number analysis.
For WGA samples, a phi29 based amplification method and higher concentrations are recommended.
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