Neurology. Genetics · 2026
Identification of Nuclear Genetic Loci Linked to Clinical Features of the m.3243A>G Mitochondrial DNA Variant.
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Boggan Róisín M, Michalettou Theodora-Dafni, Ng Yi Shiau, Franklin Imogen G, Cortés Lucas T, Alston Charlotte L, Blakely Emma L, Büchner Boriana, Bugiardini Enrico, Colclough Kevin, Feeney Catherine, Hanna Michael G, Hattersley Andrew T, Klopstock Thomas, Kornblum Cornelia, Mancuso Michelangelo, Patel Kashyap A, Pitceathly Robert D S, Pizzamiglio Chiara, Prokisch Holger, Schäfer Jochen, Schaefer Andrew M, Shepherd Maggie H, Thaele Annemarie, Thomas Rhys H, Turnbull Doug M, Woodward Cathy E, McFarland Robert, Taylor Robert W, Cordell Heather J, Pickett Sarah J
Аннотация
BACKGROUND AND OBJECTIVES: Mitochondrial DNA (mtDNA) disorders exhibit striking clinical variability that is poorly explained by known factors such as variant heteroplasmy, age, or sex. Nuclear genetic modifiers likely play a significant role in this heterogeneity. We aimed to characterize the nature of nuclear genetic involvement for 2 common syndromic presentations of the common pathogenic mtDNA variant, m.3243A>G: mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episodes (MELAS) and maternally inherited diabetes and deafness (MIDD).
METHODS: We assembled a multicenter cohort of clinically ascertained carriers of m.3243A>G (total n = 488), identifying 198 individuals across 76 pedigrees suitable for genetic linkage analysis. We investigated 4 clinical features characteristic of MELAS and MIDD: diabetes, hearing impairment, stroke-like episodes, and encephalopathy. Haseman-Elston regression-based genetic linkage analysis was performed to identify regions of the nuclear genome cosegregating with these features. The effects of m.3243A>G heteroplasmy, age, and sex were accounted for using logistic regression; empirical significance thresholds were determined through feature-specific gene-dropping simulations. Association analyses were performed in 247 individuals using single-variant (SAIGE) and gene-based approaches (SAIGE-GENE+ and MAGMA) to refine candidate loci within a significant linkage region.
RESULTS: We identified significant genetic linkage to encephalopathy (chromosome 7q22; LOD = 3.72), and regions suggestive of genetic linkage on chromosomes 1, 5, 6, 11, and 13, for encephalopathy and stroke-like episodes. No linkage was identified for diabetes or hearing impairment. Association analysis within the chromosome 7 region identified variant rs62500792 (intergenic between SDHAF3 and TAC1) with the lowest p value (3.7 × 10-5), yet no variants reached the proportional significance threshold (5.3 × 10-6). Gene-based analyses highlighted PLOD3 (p = 3.9 × 10-3) and IMMP2L (p = 6.4 × 10-3) as candidates, as each showed the strongest gene-level signals within the linkage region across complementary burden-testing methods, although neither reached corrected significance thresholds.
DISCUSSION: The nuclear genetic architecture modifying m.3243A>G differs across clinical features. Severe neurologic features (encephalopathy and stroke-like episodes) may be influenced by a small number of nuclear genes with relatively large effect sizes, whereas the nuclear contribution to diabetes and hearing impairment appears more polygenic. This study highlights the value of large, well-characterized patient cohorts in identifying modifier loci and advancing knowledge of the mechanisms underlying phenotypic variability in mtDNA disease.
METHODS: We assembled a multicenter cohort of clinically ascertained carriers of m.3243A>G (total n = 488), identifying 198 individuals across 76 pedigrees suitable for genetic linkage analysis. We investigated 4 clinical features characteristic of MELAS and MIDD: diabetes, hearing impairment, stroke-like episodes, and encephalopathy. Haseman-Elston regression-based genetic linkage analysis was performed to identify regions of the nuclear genome cosegregating with these features. The effects of m.3243A>G heteroplasmy, age, and sex were accounted for using logistic regression; empirical significance thresholds were determined through feature-specific gene-dropping simulations. Association analyses were performed in 247 individuals using single-variant (SAIGE) and gene-based approaches (SAIGE-GENE+ and MAGMA) to refine candidate loci within a significant linkage region.
RESULTS: We identified significant genetic linkage to encephalopathy (chromosome 7q22; LOD = 3.72), and regions suggestive of genetic linkage on chromosomes 1, 5, 6, 11, and 13, for encephalopathy and stroke-like episodes. No linkage was identified for diabetes or hearing impairment. Association analysis within the chromosome 7 region identified variant rs62500792 (intergenic between SDHAF3 and TAC1) with the lowest p value (3.7 × 10-5), yet no variants reached the proportional significance threshold (5.3 × 10-6). Gene-based analyses highlighted PLOD3 (p = 3.9 × 10-3) and IMMP2L (p = 6.4 × 10-3) as candidates, as each showed the strongest gene-level signals within the linkage region across complementary burden-testing methods, although neither reached corrected significance thresholds.
DISCUSSION: The nuclear genetic architecture modifying m.3243A>G differs across clinical features. Severe neurologic features (encephalopathy and stroke-like episodes) may be influenced by a small number of nuclear genes with relatively large effect sizes, whereas the nuclear contribution to diabetes and hearing impairment appears more polygenic. This study highlights the value of large, well-characterized patient cohorts in identifying modifier loci and advancing knowledge of the mechanisms underlying phenotypic variability in mtDNA disease.