Funders › MI › American Autoimmune Related Diseases Association › 2019
Grants paid by American Autoimmune Related Diseases Association, tax year 2019
EIN 38-3027574 · Clinton Twp, MI · Form 990, Schedule I · NTEE G81Z
In tax year 2019, American Autoimmune Related Diseases Association (EIN 38-3027574) reported 5 grants paid totaling $164,622. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2019
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2019 | Foundation for the Autoimmunity Institute Pittsburgh, PA | U | $125,000 | paid | SUPPORT THE RESEARCH EFFORTS OF AHN AUTOIMMUNITY INSTITUTE | 202040779349300104 |
| 2019 | The Brigham and Women's Hospital Boston, MA | C | $20,000 | paid | SUPPORT THE RESEARCH EFFORTS OF DR. ROSE | 202040779349300104 |
| 2019 | John Hopkins School of Public Health Baltimore, MD | U | $7,622 | paid | RESEARCH SUPPORT FOR THREE DSIP INTERNS | 202040779349300104 |
| 2019 | John Hopkins University Baltimore, MD | U | $7,000 | paid | AUTOIMMUNITY DAY | 202040779349300104 |
| 2019 | Nmu School of Nursing Marquette, MI | U | $5,000 | paid | AUTOIMMUNE DISEASE SYMPOSIUM | 202040779349300104 |
Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.
Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.
Derived from IRS Form 990 e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.
The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.
This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.