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Investigating the role of common cis-regulatory variants in modifying penetrance of putatively damaging, inherited variants in severe neurodevelopmental disorders.

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Abstract

Recent work has revealed an important role for rare, incompletely penetrant inherited coding variants in neurodevelopmental disorders (NDDs). Additionally, we have previously shown that common variants contribute to risk for rare NDDs. Here, we investigate whether common variants exert their effects by modifying gene expression, using multi-cis-expression quantitative trait loci (cis-eQTL) prediction models. We first performed a transcriptome-wide association study for NDDs using 6987 probands from the Deciphering Developmental Disorders (DDD) study and 9720 controls, and found one gene, RAB2A, that passed multiple testing correction (p = 6.7 × 10-7). We then investigated whether cis-eQTLs modify the penetrance of putatively damaging, rare coding variants inherited by NDD probands from their unaffected parents in a set of 1700 trios. We found no evidence that unaffected parents transmitting putatively damaging coding variants had higher genetically-predicted expression of the variant-harboring gene than their child. In probands carrying putatively damaging variants in constrained genes, the genetically-predicted expression of these genes in blood was lower than in controls (p = 2.7 × 10-3). However, results for proband-control comparisons were inconsistent across different sets of genes, variant filters and tissues. We find limited evidence that common cis-eQTLs modify penetrance of rare coding variants in a large cohort of NDD probands.

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Acknowledgements: We thank the families and their clinicians for their participation and engagement, and our colleagues at the Wellcome Sanger Institute who assisted in the generation and processing of data, including the Human Genetics Informatics core. The DDD study presents independent research commissioned by the Health Innovation Challenge Fund (grant number HICF-1009-003), a parallel funding partnership between Wellcome and the Department of Health, and the Wellcome Sanger Institute (grant number WT098051). This study makes use of DECIPHER43, which is funded by the Wellcome Trust. The full acknowledgements can be found at www.ddduk.org/access.html. Sanger investigators are currently funded by Wellcome grant 220540/Z/20/A. We used data from UKHLS (Understanding Society). Understanding Society is an initiative funded by the Economic and Social Research Council and various Government Departments, with scientific leadership by the Institute for Social and Economic Research, University of Essex, and survey delivery by the National Centre for Social Research (NatCen) and Verian (formerly Kantar Public). The research data are distributed by the UK Data Service.

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Sci Rep

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Journal ISSN

2045-2322
2045-2322

Volume Title

14

Publisher

Springer Nature

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Except where otherwised noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/
Sponsorship
Wellcome (220540/Z/20/A, 220540/Z/20/A, 220540/Z/20/A, HICF-1009-003, 220540/Z/20/A, 220540/Z/20/A)
Department of Health,United Kingdom (HICF-1009-003, HICF-1009-003)
Wellcome Sanger Institute,United Kingdom (WT098051, WT098051)
Wellcome Trust (WT223718/Z/21/Z, WT223718/Z/21/Z)
Economic and Social Research Council, United Kingdom (ES/M008592/1)