SpliceAI nominates a deep intronic PKHD1 variant in fatal ARPKD

SpliceAI scored a deep intronic PKHD1 variant 0.98; RNA studies confirmed aberrant splicing; parents used the diagnosis for IVF with PGT-M.

AI system

System

SpliceAI

Model

Not assessed

Release

Not assessed

Application developer

SpliceAI authors (Jaganathan et al., Cell 2019), as cited in the case report; the developing organization is not named in the source text

Role

Not assessed

Configuration

Not assessed

Inputs and outputs

Not assessed

Autonomy

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Workflow

Whole-genome sequencing with SpliceAI scoring of rare intronic variants in a disease gene already implicated by one pathogenic allele. Access to parental samples for RNA-level validation.

Human oversight

Not assessed

Relation to AI

SpliceAI's score of 0.98 nominated the maternally inherited deep intronic variant as the second allele. Among 78,575 rare intronic PKHD1 variants in gnomAD only one scored higher. Pathogenicity was then established by RT-PCR and Sanger sequencing of maternal urine-derived cells and GeneDx's likely-pathogenic classification. The AI's contribution was candidate selection. Without it the second allele would have remained unexplained. Authors declare no relevant financial interests.

AI contribution

SpliceAI's score of 0.98 nominated the maternally inherited deep intronic variant as the second allele. Among 78,575 rare intronic PKHD1 variants in gnomAD only one scored higher. Pathogenicity was then established by RT-PCR and Sanger sequencing of maternal urine-derived cells and GeneDx's likely-pathogenic classification. The AI's contribution was candidate selection. Without it the second allele would have remained unexplained. Authors declare no relevant financial interests.

Benefits

Outcome identifiers

Not assessed

Benefit

a maternally inherited deep intronic PKHD1 variant scoring 0.98

Category

Improved Physical Health

Status

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Beneficiary groups

People.

Beneficiaries

Not assessed

Reach

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Distribution and access

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Duration

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Expected?

Yes

Costs and harms

Not assessed

Measurement

Studies

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Study design

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Measurement

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Setting and sample

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Measures

a maternally inherited deep intronic PKHD1 variant scoring 0.98

Comparison

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Results

a maternally inherited deep intronic PKHD1 variant scoring 0.98

Additional value from AI

Not assessed

Limitations

Not assessed

Denominators

Not assessed

Materials for replication

Not assessed

Money

Kind of value

Not assessed

Amount

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Currency and prices

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Period and unit

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Realization

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Recipients and payers

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Gross or net

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Included costs

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Comparison

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Method

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Return and payback

Not assessed

People and places

Participants

Developer: SpliceAI authors (Jaganathan et al., Cell 2019), as cited in the case report; the developing organization is not named in the source text. Operator: NICUnet consortium / Icahn School of Medicine at Mount Sinai (Rareservoir variant database).

Jurisdictions

Benefit: New York, United States. Developer: United States. Operator: United States.

Ownership and control

Not assessed

Dependencies

Not assessed

Cross-border connections

Not assessed

Geopolitical implications

Not assessed

Follow-up

Conditions for replication

Functional or RNA confirmation before clinical use of the variant. Genetic counseling and access to IVF with PGT-M.

Replication attempts

Not assessed

Later findings

The parents' IVF with PGT-M within a year of the death is reported in the case report itself; nothing dated after publication was found,.

Availability

Not assessed

Institutional decision

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Grounds

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Action and result

Not assessed

Success criterion

Not assessed

Evidence

Source numbers

AIBD-0077-source-0001–0003

Citations

Numbered references below.

Language

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Source relationships

Operator

Original evidence

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Access and versions

Not assessed

Supported findings

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Evidence strength

Not assessed

Missing evidence

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Grades

Assessed benefits

People.

Depth

People: 3.

Reasons

People: An identifiable family received a definitive molecular cause of their son's death. They used it for IVF with preimplantation genetic testing to avoid a lethal disease recurring. Life-changing for the family, not life-saving for the patient.

Observed or intended

Not assessed

Rubric

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Assessor and date

Not assessed

Alternative assessments

Not assessed

Fill

The deployer's account

Entry details

Kind

Not assessed

Field

Healthcare - neonatology / clinical genomics. Genome reanalysis in a neonatal research network.

Purpose

SpliceAI is a deep-learning model built to predict the effect of DNA variants on RNA splicing. Nominating a splice-altering deep intronic variant is exactly its intended use.

Dates

Date basis unassessed: 2024 (precision unassessed). Updated: 21 October 2026.

Stage

Not assessed

Version

SHA-256: 8e4e4c47ca8d…

References

Other identifiers

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Category mappings

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Brief

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Revisions

4 revisions. Latest: 21 October 2026.

Sources

  1. Case report Deployer

    Richter F, Rutherford KD, Cooke AJ, Meshkati M, Eddy-Abrams V, Greene D, Kosowsky J, Park Y, Aggarwal S, Burke RJ, Chang W, Connors J, Giannone PJ, Hays T, Khattar D, Polak M, Senaldi L, Smith-Raska M, Sridhar S, Steiner L, Swanson JR, Tauber KA, Barbosa M, Guttmann KF, Turro E (2024). A Deep Intronic PKHD1 Variant Identified by SpliceAI in a Deceased Neonate With Autosomal Recessive Polycystic Kidney Disease. American Journal of Kidney Diseases 83(6):829-833 (online 10 January 2024).