| Autor: |
In-Hee Lee, Matthew Ryan Smith, Azam Yazdani, Sumiti Sandhu, Douglas I. Walker, Kenneth D. Mandl, Dean P. Jones, Sek Won Kong |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Human Genomics, Vol 16, Iss 1, Pp 1-14 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
1479-7364 |
| DOI: |
10.1186/s40246-022-00440-w |
| Popis: |
Abstract Background The human exposome is composed of diverse metabolites and small chemical compounds originated from endogenous and exogenous sources, respectively. Genetic and environmental factors influence metabolite levels, while the extent of genetic contributions across metabolic pathways is not yet known. Untargeted profiling of human metabolome using high-resolution mass spectrometry (HRMS) combined with genome-wide genotyping allows comprehensive identification of genetically influenced metabolites. As such previous studies of adults discovered and replicated genotype–metabotype associations. However, these associations have not been characterized in children. Results We conducted the largest genome by metabolome-wide association study to date of children (N = 441) using 619,688 common genetic variants and 14,342 features measured by HRMS. Narrow-sense heritability (h 2) estimates of plasma metabolite concentrations using genomic relatedness matrix restricted maximum likelihood (GREML) method showed a bimodal distribution with high h 2 (> 0.8) for 15.9% of features and low h 2 ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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