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Csnk2a1 Foundation at a glanceMostly funded, not a grantmaker: see who funds it →

· Public charity

Csnk2a1 Foundation

Focus on finding a cure for okur-chung neurodevelopmental syndrome and ensuring individuals have the opportunities and support necessary for happy and full lives.

$234k
Granted FY2024still arriving
5
Grants FY2024still arriving
4
States reached
$102k
Largest
01What it fundsRead
02The needRead
03Its granteesRead
04Its fieldRead
05Through PlinthRead
01What it funds
01100% classified

What it funded, over time

Every grant placed by its stated purpose and the recipient’s mission, by year, FY2019 to 2024.

Health$546kRecreation & Sports$73kScience & Tech$35kEducation$15k
02FY2024 · 5 grants

Where the money goes

Grants by size, and the largest recipients.

How this is measured
The 5 grants below total $229,219, the rows itemized in this filing. The $234,219 headline is the total grant expense on the return; the other $5,000 is giving the schedule does not break out (grants under the $5,000 itemization floor, grants to individuals, grants on other schedules). Every figure below describes the itemized rows only.

By grant size · FY2024

  • $10k–50k4 grants · $127k
  • $50k–250k1 grant · $102k
$36,439
Median grant
4
States reached
$1.5M
Total assets
Largest grants
RecipientAmount
Individual grant recipient$101,990
INSTITUTE DE PSYCHIATRIE ET NUEROSCIENCE DE PARIS$47,055
UNIVERSITY OF UTAH$36,439
Individual grant recipient$28,500
TRUSTEES OF UNIVERSITY OF PENNSYLVANIA$15,235
02The need
03

Does the money reach high-need areas?

Each grant placed by the hardship in its grantee’s ZIP, against the area’s typical level.

US giving: 72% of grant dollars ($479k). The need read here covers only this US portion; the 28% that went abroad ($189k) is mapped below.

show:

Dollar for dollar, its grants (FY19–24) land where the poverty rate runs at 11%, against an area that typically sits at 9%. 68% of its dollars go to grantees based in above-average-need neighborhoods. Most of its grants land in higher-need ZIPs.

area typical 9%TGEN: $105k → 11%UNRAVEL BIOSCIENCES: $29k → 8%BOSTON UNIVERSITY SCHOOL OF MEDICINE: $26k → 16%TRUSTEES OF UNIVERSITY OF PENNSYLVANIA: $15k → 22%UNIVERSITY OF UTAH: $36k → 8%INFINITY BIOLOGIX: $35k → 8%TRANSLATIONAL GENOMICS: $102k → 11%UNRAVEL BIOSCIENCES: $17k → 8%UNIVERSITY OF UTAH: $36k → 8%TGEN: $78k → 11%0%20%40%50%more need →
grant to an above-average-need area below average· circle size = grant amount
How this is measured
Matched: human-services grants are those whose grantee’s IRS cause code is Human Services. Placed by people below the poverty line in the grantee’s ZIP, averaged from the tracts in that ZIP.

Beyond the US: 28% of all-years giving ($189k)

2 countries, by the recipient’s country on the filing.

grant dollars sentlessmore
France$152k · 3 grants
Germany$37k · 3 grants
How this is measured
US grants placed by each grantee’s ZIP, which can differ from where services are delivered. Need from public data (U.S. Census/ACS, CDC PLACES, Eviction Lab, USDA), shown as context about the area, never attributed to the funder’s giving. International giving is mapped by the recipient’s country from the same 990 filings; comparable need data isn’t available at that grain.
03Its grantees
repeat funding

Who it funds again

Organizations funded in more than one year, against those funded once.

75%of every dollar goes to organizations it has funded before.
$490k · 5 repeat orgs$163k to everyone else

5 repeat relationships: 3 still active in FY2024, 2 since wound down; 1 grantees were first funded in FY2024 (too recent to call).

How the two cohorts compare

Re-uppedFunded once

Organizations

5
2

Total granted

$490k
$61k

Still filing today

20%
0%

New vs renewed · share of each year

In FY2024, 52% of grant dollars renewed an existing relationship; $102k went to new ones.

50%100%’19’20’21’22’23’24
RenewedFirst-time
How this is measured
First-time means a grantee’s first year in the filing window; renewed means funded in an earlier year too. The renewed share climbs naturally as a portfolio matures, so the signal is a year that bucks it (a wave of new grantees). The earliest year is left-censored: relationships that predate the data read as new. Theme is the grantee’s IRS cause.

Backed again, and grew

  • TT
    THE TRANSLATIONAL GENOMICS RESEARCH INSTITUTE FOUNDATION
    2× · 2019–2020 · $183k · revenue +27%
  • ID
    INSTITUTE DE PSYCHIATRIE ET NUEROSCIENCE DE PARIS
    3× · 2021–2024 · $152k
  • UO
    UNIVERSITY OF UTAH
    2× · 2023–2024 · $73k

Funded once

  • IB
    INFINITY BIOLOGIX LLC
    one grant, 2023 · $35k
  • BU
    BOSTON UNIVERSITY SCHOOL OF MEDICINE
    one grant, 2021 · $26k
How this is measured

Repeat means funded in two or more distinct years. Growth and survival are read from each grantee’s own subsequent IRS filings.

04Its field
04the grantee network

2 grantees tracked through their own filings, 2017–2025.

Each grant beside the grantee’s revenue from every source, year by year.

How this is measured

Counted here: distinct organizations funded across 2017 to 2025, not grant rows in a single year, so this will not match the grant count on the cover. 2 of the 9 grantees resolved in that span have returns of their own we could reconcile.

Each grantee is resolved to its own IRS returns. Association, dated; never a causal claim.

0
Load-bearing (≥25% of a budget)
0
Early backer (in before they grew)
2/2
Grantees still filing
2/2
Grew since first funded

Where the money sits, by cause and then by grantee

INSTITUTE DE PSYCHIATRIE ET NUEROSCIENCE DE PARIS: $152,389 · OtherINSTITUTE DE PSYCHIATRIE ET NUEROSCIENCE DE PARISIndividual grant recipient: $101,990 · OtherIndividual grant recipientUNIVERSITY OF UTAH: $72,878 · OtherUNIVERSITY OF UTAHIndividual grant recipient: $45,400 · OtherIndividual grant recipientTACONIC-CYAGEN MODEL GENERATION ALLIANCE: $37,002 · OtherTACONIC-CYAGEN MODEL GENERATION ALLIANCEINFINITY BIOLOGIX LLC: $34,793 · OtherINFINITY BIOLOGIX LLCBOSTON UNIVERSITY SCHOOL OF MEDICINE: $26,201 · OtherBOSTON UNIVERSITY SCHOOL OF MEDICINETHE TRANSLATIONAL GENOMICS RESEARCH INSTITUTE FOUNDATION: $182,669 · HealthTHE TRANSLATIONAL GENOMICS RES…TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA: $15,235 · Education
Other$470,653Health$182,669Education$15,235

Each grantee by its size and the funder’s share of it; top left is load-bearing

25%50%75%100%$100Mgrantee revenue →↑ funder's share of their budgetTHE TRANSLATIONAL GENOMICS RESEARCH INSTITUTE FOUNDATION: $182,669 over 2y, 1.1% of budgetTRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA: $15,235 over 1y, 0.0% of budget
Grantee by grantee: a decade per organization, before and after funding

A decade per grantee: revenue shaded, grants as bars, all rows on one timeline.

  • Who funds THE TRANSLATIONAL GENOMICS RESEARCH INSTITUTE FOUNDATION ↗
  • Who funds TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA ↗

How much its grantees rely on government

Each dot is one organization Csnk2a1 Foundation funds: left to right is the share of its income from government, bottom to top the share from Csnk2a1 Foundation. Bigger dots raise more.

2024
’20’21’22’23’24’25
no gov · 00%0%1%3%5%funder's share of their income ↑0%3%5%8%10%share of the org’s income from government →
    no gov moneyreceives it· size = income
    0get no government money at all
    0rely on government for over half their income
    ⤢ axis zoomed · 0–10%
    typical government reliance, FY20–25
    How this is measured
    Government income is each org’s traced federal awards (USASpending grants and contracts) plus state payments (open checkbooks) as a share of its total revenue (IRS Form 990); the self-reported government-grant line (990 line 1e) is carried for cross-check: a grantee that reports government grants we could not trace to a source is left off the chart rather than shown as receiving none. An association, not a claim that a grant caused the public funding. Coverage is precision-first, a floor rather than a census; state records exist for 9 states, so a grantee outside them shows no state figure (dimmed) rather than a false zero. Federal award amounts are obligations, which can span years, so a single-year share is indicative. 990 filings lag 12 to 24 months.
    05Through Plinth

    Warm introductions · Powered by PlinthPlus

    How do I get to Csnk2a1 Foundation?

    Find your warmest path to Csnk2a1 Foundation through trustees and officers whose names appear on both boards. Search for your organization and Plinth traces the shortest route it can evidence.

    Each link is a name appearing on two organizations’ public IRS 990 filings, matched on that name and, where the filings support it, on location. A same-state match has geographic support, which is a second matching feature rather than confirmation that the two are one person; a cross-state one is the likeliest to be two people who share a name. Every hop shows its tier, low-confidence and distant paths are held back rather than guessed, and it is worth confirming the person before you use the introduction.

    On method. Every financial figure here is read from IRS e-file XML, the funder’s own 990/990-PF, and from the multi-year returns of the 9 grantees we resolved, each linked to its source. Grantee outcomes are each organization’s own program-service reporting (Form 990, Part III), read as association with funding, never as caused by it. Low-confidence name matches are suppressed rather than guessed. How we build these →

    How this is measured
    Each figure carries one of six labels. Filed is what the funder reported on its return. Official is another government record about an organization, such as a federal award or a charity register, joined by name where no shared identifier exists. Resolved is an identity we worked out where the filing named a recipient without an EIN, kept only above a measured confidence threshold. Computed is arithmetic over those, like themes, portfolio clusters and co-funder strength. Context is a statistic about a place rather than about an organization, which is what the need overlay is: it describes the area a grantee’s address sits in, not where its work lands. Inferred is drawn by a model from text, like the partnerships read out of public news and organization websites. Each is labeled where it appears.

    Generated from the IRS Form 990 e-file return for fiscal year 2024, released 2024. Filings run roughly 12 to 24 months behind; figures are dated accordingly.

    Source object · view filing

    Play a game based on Csnk2a1’s filings →

    More from the funding graph

    The unnamed billions
    grants reported with no recipient in the public record
    The regranting layer
    51% of grant dollars land in the regranting layer
    The DAF merry-go-round
    $9.7B circulates between donor-advised funds
    The endowment market
    who holds foundation money, and what just moved
    The camps
    funders cluster by geography, not ideology
    By state
    where grant money is based, and what stays home