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PrimateAI-3D

Overview

PrimateAI-3D is an AI annotation model developed by the Illumina Artificial Intelligence Lab to predict missense variant pathogenicity.

It uses a 3D convolutional neural network with structural and primate variation data to score missense variants. Scores range from 0 to 1, where lower values suggest more benign variants and higher values suggest more pathogenic variants.

It is trained on data from 233 primate species and has enabled the reclassification of approximately 4.4 million variants of unknown significance (VUS) as likely benign, improving the accuracy of variant interpretation. By learning from conserved sequences across primates, PrimateAI‑3D avoids bias tied to any single human ancestry.

For more details, refer to:

Publication

Gao, et al. The landscape of tolerated genetic variation in humans and primates. Science (2023). https://doi.org/10.1126/science.abn8197

Parsing

TSV File

chr	pos	non_flipped_ref	non_flipped_alt	gene_name	change_position_1based	ref_aa	alt_aa	score_PAI3D	percentile_PAI3D	 refseq	prediction	 per_gene_percentile_PAI3D	hgnc
chr1	69094	G	A	ENST00000335137.4	2	V	M	0.6169436463713646	 0.5200308441794135	 NM_001005484.1	pathogenic	 0.699207135777998	OR4F5
chr1	69094	G	C	ENST00000335137.4	2	V	L	0.5557043975591658	 0.4271457250214688	 NM_001005484.1	benign	0.6053022794846382	 OR4F5
chr1	69094	G	T	ENST00000335137.4	2	V	L	0.5557043975591658	 0.4271457391722522	 NM_001005484.1	benign	0.6053022794846382	 OR4F5
chr1	69095	T	A	ENST00000335137.4	2	V	E	0.8063537482917307	 0.8032228720356267	 NM_001005484.1	pathogenic	 0.9202180376610506	 OR4F5
chr1	69095	T	C	ENST00000335137.4	2	V	A	0.5795628190040587	 0.4631329075815453	 NM_001005484.1	benign	0.6442021803766105	 OR4F5
chr1	69095	T	G	ENST00000335137.4	2	V	G	0.7922330142557621	 0.7834049546930125	 NM_001005484.1	pathogenic	 0.900396432111001	OR4F5

Illumina Connected Annotations parses all columns from the file:

  • chr

  • pos

  • non_flipped_ref

  • non_flipped_alt

  • gene_name

  • change_position_1based

  • ref_aa

  • alt_aa

  • score_PAI3D

  • percentile_PAI3D

  • refseq

  • prediction

  • per_gene_percentile_PAI3D

  • hgnc

The gene_name and refseq fields provide the Ensembl and RefSeq transcript IDs. These IDs are passed through as-is, so some can be obsolete or unrecognized by current Ensembl or RefSeq releases.

GRCh37

For GRCh37, a lifted-over file is provided. The file is not sorted, so sort it before use. Some RefSeq transcripts were not mapped during lift-over.

Pre-processing

Sorting for GRCh37

Generate supplementary annotation files

This step converts the raw PrimateAI-3D source file into supplementary annotation files using SAUtils that Illumina Connected Annotations can load during annotation. You only need this step if you are generating the data source manually. If you use prebuilt annotation files, you can skip it.

Known Issues

JSON output

Field
Type
Notes

aminoAcidPosition

int

Amino Acid Position (1-based)

refAminoAcid

string

Reference Amino Acid

altAminoAcid

string

Alternate Amino Acid

ensemblTranscriptId

string

Transcript ID (Ensembl)

refSeqTranscriptId

string

Transcript ID (RefSeq)

scorePercentile

float

range: 0 - 1.0

genePercentile

float

range: 0 - 1.0

score

float

range: 0 - 1.0

classification

string

pathogenic or benign classification

geneSymbol

string

HGNC gene symbol

Interpreting scores

PrimateAI-3D scores range from 0 to 1.

  • Lower scores suggest more benign variants.

  • Higher scores suggest more pathogenic variants.

Resources

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