Artificial Intelligence in Human Genetics

Artificial intelligence (AI) technologies have recently undergone transformative growth in capabilities. In human genetics, AI is rapidly advancing our ability to reveal the effects of genetic variation. This review explores recent progress and remaining challenges across the diverse applications of AI in genotype-to-phenotype mapping, from predicting the functional and clinical consequences of mutations, to identifying causal genes, to estimating disease risk. Particular emphasis is placed on the growing utility of general-purpose foundation models trained on massive genomic data, including DNA and protein language models, alongside areas where narrower machine-learning approaches still dominate. The review concludes with key considerations for future progress and impact.

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Publication Details

Journal
Annual Review of Genomics and Human Genetics
Published
2026-02-25
DOI
https://doi.org/10.1146/annurev-genom-111124-032550
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
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article

Artificial Intelligence in Human Genetics

Nadav Brandes
Annual Review of Genomics and Human Genetics
Genomics and Rare Diseases
article

Artificial Intelligence in Human Genetics

Nadav Brandes
article en

Abstract

Artificial intelligence (AI) technologies have recently undergone transformative growth in capabilities. In human genetics, AI is rapidly advancing our ability to reveal the effects of genetic variation. This review explores recent progress and remaining challenges across the diverse applications of AI in genotype-to-phenotype mapping, from predicting the functional and clinical consequences of mutations, to identifying causal genes, to estimating disease risk. Particular emphasis is placed on the growing utility of general-purpose foundation models trained on massive genomic data, including DNA and protein language models, alongside areas where narrower machine-learning approaches still dominate. The review concludes with key considerations for future progress and impact.

Annual Review of Genomics and Human Genetics
New York University (US)
Openalex Percentile: Top 41%
Genomics and Rare Diseases
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