KMT2A-D pathogenicity, prevalence, and variation according to a population database

Jenna K Larson; DeVon N Hunter-Schlichting; Erin L Crowgey; Lauren J Mills; Todd E Druley; Erin L Marcotte

doi:10.1002/cam4.5443

KMT2A-D pathogenicity, prevalence, and variation according to a population database

Cancer Med. 2023 Mar;12(6):7234-7245. doi: 10.1002/cam4.5443. Epub 2022 Dec 8.

Authors

Jenna K Larson¹, DeVon N Hunter-Schlichting^{2

3}, Erin L Crowgey⁴, Lauren J Mills³, Todd E Druley⁵, Erin L Marcotte^{2

3

6}

Affiliations

¹ Deparatment of Genetic Counseling, University of Minnesota, Minneapolis, Minnesota, USA.
² Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota, USA.
³ Division of Pediatric Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, Minnesota, USA.
⁴ Nemours Children's Health, Wilmington, Delaware, USA.
⁵ Mission Bio, South San Francisco, California, USA.
⁶ Brain Tumor Program, University of Minnesota, Minneapolis, Minnesota, USA.

Abstract

Introduction: The KMT2 family of genes is essential epigenetic regulators promoting gene expression. The gene family contains three subgroups, each with two paralogues: KMT2A and KMT2B; KMT2C and KMT2D; KMT2F and KMT2G. KMT2A-D are among the most frequent somatically altered genes in several different cancer types. Somatic KMT2A rearrangements are well-characterized in infant leukemia (IL), and growing evidence supports the role of additional family members (KMT2B, KMT2C, and KMT2D) in leukemogenesis. Enrichment of rare heterozygous frameshift variants in KMT2A and C has been reported in acute myeloid leukemia (AML), IL, and solid tumors. Currently, the non-synonymous variation, prevalence, and penetrance of these four genes are unknown.

Methods: This study determined the prevalence of pathogenic/likely pathogenic (P/LP) germline KMT2A-D variants in a cancer-free adult population from the Genome Aggregation Database (gnomAD). Two methods of variant interpretation were utilized: a manual genomic variant interpretation and an automated ACMG pipeline.

Results: The ACMG pipeline identified considerably fewer P/LP variants (n = 89) compared to the manual method (n = 660) in all 4 genes. Consequently, the total P/LP prevalence and allele frequency (AF) were higher in the manual method (1:112, AF = 4.46E-03) than in ACMG (1:832, AF = 6.01E-04). Multiple ancestry-exclusive P/LP variants were identified along with an increased frequency in males compared to females. Many of these variants identified in this population database are also associated with severe juvenile conditions.

Conclusion: These data demonstrate that putatively functional germline variation in these developmentally important genes is more common than previously appreciated and identification in cancer-free adults may indicate incomplete penetrance for many of these variants. Future research should examine a genetic predisposing role in IL and other pediatric cancers.

Keywords: epidemiology; genetic variants; human genetics; leukemia.

MeSH terms

Adult
Child
Female
Gene Frequency
Germ-Line Mutation
Humans
Infant
Leukemia, Myeloid, Acute* / epidemiology
Leukemia, Myeloid, Acute* / genetics
Leukemia, Myeloid, Acute* / pathology
Male
Prevalence
Virulence