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Shared genetic architecture between ADHD and intelligence varies across ADHD subtypes

Qiyu Zhao, Kun Yang, Mengge Liu, Ziqing Shi, Jiaxuan Zhao, Y H Wu et al. · 2026 · 3 citationsRead the paper

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous neurodevelopmental condition frequently accompanied by cognitive difficulties. Although previous genetic studies have demonstrated substantial overlap between ADHD and intelligence, most have treated ADHD as a single phenotype. However, whether this shared genetic architecture differs across ADHD subtypes remains unclear. METHODS: We conducted a genome-wide cross-trait analysis integrating large-scale genome-wide association study (GWAS) datasets of overall ADHD, its subtypes-childhood ADHD, persistent ADHD, and late-diagnosed ADHD-and intelligence (total N > 300,000). Genome-wide genetic correlations, polygenic overlap, local genetic correlations, and variant-level associations between ADHD phenotypes and intelligence were evaluated to characterize their shared genetic architecture. Shared variants were identified through cross-trait enrichment analyses and subsequently mapped to genes for functional annotation and gene-set enrichment. Bidirectional associations were evaluated using two-sample Mendelian randomization with sensitivity analyses. Additional GWAS datasets were used to validate the robustness of shared loci by assessing the consistency of effect directions. RESULTS: ranging from -0.3442 to -0.4205). Despite these modest genome-wide correlations, cross-trait analyses revealed substantial genetic overlap, including polygenic overlap, local genetic correlations, and variant-level associations. We identified 184 loci jointly associated with ADHD traits and intelligence, including 64 novel loci, whereas no shared loci were detected for persistent ADHD under the current analysis. Functional annotation revealed biologically distinct enrichment patterns across subtypes: childhood ADHD loci were linked to early neurodevelopmental processes, while late-diagnosed ADHD loci were enriched in synapse-related and neuronal signaling pathways. Mendelian randomization analyses suggested bidirectional associations, with stronger evidence supporting a directional association from intelligence to ADHD risk. Furthermore, these shared loci showed largely consistent effect directions across additional GWAS datasets, providing support for the robustness of the findings. CONCLUSIONS: The shared genetic architecture between ADHD and intelligence varies across ADHD subtypes, highlighting distinct biological pathways underlying cognitive heterogeneity in ADHD. These findings suggest that the relationship between ADHD liability and general cognitive ability is not uniform across ADHD subtypes and may inform future research on risk stratification and early identification in child and adolescent psychiatry.

What the full text shows

Shown in the lab
  • Negative genetic correlations exist between all ADHD phenotypes and intelligence, with the strongest correlation in late-diagnosed ADHD. — rg = -0.3442 (childhood) to -0.4205 (late-diagnosed) (European ancestry populations)
  • High polygenic overlap exists between overall ADHD and intelligence. — 86.1% Dice coefficient (European ancestry populations)
  • Late-diagnosed ADHD shows the highest genetic overlap with intelligence. — 88.7% Dice coefficient (European ancestry populations)
  • Persistent ADHD shows significantly lower genetic overlap with intelligence compared to other subtypes. — 48.7% Dice coefficient (European ancestry populations)
  • Identification of genomic loci jointly associated with ADHD traits and intelligence. — 184 loci (including 64 novel loci) (cond/conjFDR analysis)
  • Subtype-specific biological enrichment: childhood ADHD loci link to early neurodevelopment, while late-diagnosed ADHD loci link to synapse and neuronal signaling. (Functional annotation via FUMA and g:Profiler)
Setup
GWAS summary statistics from European ancestry individuals: overall ADHD (N=225,534), childhood ADHD (N=14,878), late-diagnosed ADHD (N=6,961), persistent ADHD (N=1,473), and intelligence (N=269,867).
How
Genome-wide cross-trait analysis using LDSC for global correlations, MiXeR for polygenic overlap, LAVA for local correlations, and cond/conjFDR for variant identification. Functional annotation was performed via FUMA and g:Profiler, and directional effects were tested using two-sample Mendelian randomization.
Limitations
Analysis restricted to individuals of European ancestry. · Persistent ADHD sample size is significantly smaller than other subtypes (N=1,473). · Intelligence phenotype is a latent factor (general cognitive ability), which may not reflect individual deterministic relationships. · Potential influence of comorbidities and diagnostic uncertainty on correlation estimates.

Summarized by Gemma 4 from the open-access full text · 8 Oct 2026. Read it