2022
DOI: 10.1101/2022.12.15.22283523
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Genetic modifiers of rare variants in monogenic developmental disorder loci

Abstract: Rare damaging variants in a large number of genes are known to cause monogenic developmental disorders (DD), and have been shown to cause milder sub-clinical phenotypes in population cohorts. To investigate potential genetic modifiers, we identified individuals in UK Biobank with predicted deleterious variants in 599 autosomal dominant DD genes, and found that carrying multiple rare variants in these genes had an additive adverse effect on numerous cognitive and socio-economic traits, which could be partially … Show more

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Cited by 6 publications
(8 citation statements)
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“…To test for possible shared genetic contributors to rare neurodevelopmental conditions and other brain-related traits and conditions, we calculated genetic correlations ( r g ) between them using our own and published GWAS meta-analyses. We observed the expected negative genetic correlations between neurodevelopmental conditions and educational attainment 37 (EA; r g =- 0.65 [-0.84, -0.47], p=4.9x10 - 12 ) and cognitive performance 37 (CP; r g =-0.56 [-0.73, -0.39], p=1.6x10 - 10 ), stronger in magnitude than those observed with the DDD GWAS alone, and a positive genetic correlation with schizophrenia 38 (SCZ; r g =0.27 [0.13, 0.40], p=9.7x10 - 5 ) ( Figure 1A ; Supplementary Table 4 ). Additionally, we detected significant genetic correlations (p<0.0038=0.05/13 traits) with several other mental health conditions including Attention-Deficit Hyperactive Disorder (ADHD) 41 ( r g =0.46 [0.28, 0.64], p=5.2x10 - 7 ), and with the non-cognitive component of educational attainment derived from GWAS-by-subtraction (NonCogEA) 42 ( r g =- 0.37 [-0.52, -0.22], p=1.2x10 - 6 ) ( Figure 1A ).…”
Section: Resultsmentioning
confidence: 86%
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“…To test for possible shared genetic contributors to rare neurodevelopmental conditions and other brain-related traits and conditions, we calculated genetic correlations ( r g ) between them using our own and published GWAS meta-analyses. We observed the expected negative genetic correlations between neurodevelopmental conditions and educational attainment 37 (EA; r g =- 0.65 [-0.84, -0.47], p=4.9x10 - 12 ) and cognitive performance 37 (CP; r g =-0.56 [-0.73, -0.39], p=1.6x10 - 10 ), stronger in magnitude than those observed with the DDD GWAS alone, and a positive genetic correlation with schizophrenia 38 (SCZ; r g =0.27 [0.13, 0.40], p=9.7x10 - 5 ) ( Figure 1A ; Supplementary Table 4 ). Additionally, we detected significant genetic correlations (p<0.0038=0.05/13 traits) with several other mental health conditions including Attention-Deficit Hyperactive Disorder (ADHD) 41 ( r g =0.46 [0.28, 0.64], p=5.2x10 - 7 ), and with the non-cognitive component of educational attainment derived from GWAS-by-subtraction (NonCogEA) 42 ( r g =- 0.37 [-0.52, -0.22], p=1.2x10 - 6 ) ( Figure 1A ).…”
Section: Resultsmentioning
confidence: 86%
“…Preterm delivery (i.e. giving birth prematurely) 55 , which is a risk factor for neurodevelopmental conditions in the offspring 4547 , showed significant genetic correlations with lower educational attainment (r g =- 0.30 [-0.39, -0.21], p=2.3x10 - 10 ), mirroring the epidemiological association 56 , and with neurodevelopmental conditions (r g =0.58 [0.18, 0.97], p=0.004) ( Extended Data Figure 8A , Supplementary Table 9 ). Premature birth was also associated with lower PGS EA in DDD ( Extended Data Figure 8B ).…”
Section: Resultsmentioning
confidence: 99%
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“…Future studies should consider this hypothesis in larger datasets with direct measurements of expression and genome sequencing data to evaluate rare variants that could alter gene expression. They should also consider alternative explanations for this apparent incomplete penetrance of rare inherited variants, such as a modifying role of polygenic background 57 , epistasis, stochastic effects, alternative splicing, changing effects of these rare variants with age, or environmental factors.…”
Section: Discussionmentioning
confidence: 99%