ArticlePloS one2020
Complex genetic dependencies among growth and neurological phenotypes in healthy children: Towards deciphering developmental mechanisms.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
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- Epigenome-wide analysis identifies methylome profiles linked to obsessive-compulsive disorder, disease severity, and treatment response.Molecular psychiatry · 2023Article
- Exploring the novel SNPs in neuroticism and birth weight based on GWAS datasets.BMC medical genomics · 2023Article
- Foreign RNA spike-ins enable accurate allele-specific expression analysis at scale.Bioinformatics (Oxford, England) · 2023Article
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- Foreign RNA spike-ins enable accurate allele-specific expression analysis at scale.bioRxiv : the preprint server for biology · 2023Article
- AtypicalGenes · 2021Review
- Replicate sequencing libraries are important for quantification of allelic imbalance.Nature communications · 2021Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The genetic mechanisms of childhood development in its many facets remain largely undeciphered. In the population of healthy infants studied in the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) program, we have identified a range of dependencies among the observed phenotypes of fetal and early childhood growth, neurological development, and a number of genetic variants. We have quantified these dependencies using our information theory-based methods. The genetic variants show dependencies with single phenotypes as well as pleiotropic effects on more than one phenotype and thereby point to a large number of brain-specific and brain-expressed gene candidates. These dependencies provide a basis for connecting a range of variants with a spectrum of phenotypes (pleiotropy) as well as with each other. A broad survey of known regulatory expression characteristics, and other function-related information from the literature for these sets of candidate genes allowed us to assemble an integrated body of evidence, including a partial regulatory network, that points towards the biological basis of these general dependencies. Notable among the implicated loci are RAB11FIP4 (next to NF1), MTMR7 and PLD5, all highly expressed in the brain; DNMT1 (DNA methyl transferase), highly expressed in the placenta; and PPP1R12B and DMD (dystrophin), known to be important growth and development genes. While we cannot specify and decipher the mechanisms responsible for the phenotypes in this study, a number of connections for further investigation of fetal and early childhood growth and neurological development are indicated. These results and this approach open the door to new explorations of early human development.
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