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Ciyang Wang

As seen in: Nature, Texas Medical Center
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Articles

Genetic Architecture of Cerebrospinal Fluid and Brain Metabolite Levels and the Genetic Colocalization of Metabolites With Human Traits

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By Ciyang Wang
| Texas Medical Center
10.1038/s41588-024-01973-7 Author MSS Humans, Quantitative Trait Loci, Genome-Wide Association Study, Brain, Alzheimer Disease, Polymorphism, Single Nucleotide, Xanthine, Phenotype, Glycine, Metabolome, Waist-Hip Ratio, Parkinson Disease, Tyrosine, Male yes Wang, Ciyang; Yang, Chengran; Western, Daniel; et al., "Genetic Architecture of Cerebrospinal Fluid and Brain Metabolite Levels and the Genetic Colocalization of Metabolites With Human Traits" (2024). Faculty, Staff and Student Publications.
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European and African ancestry-specific plasma protein-QTL and metabolite-QTL analyses identify ancestry-specific T2D effector proteins and metabolites | Nature Communications

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By Chengran Yang, Jigyasha Timsina, Menghan Liu, Ciyang Wang, Yueyao Wang, Fumihiko Urano, Yun Ju Sung
| Nature Verified
Abstract In this study, we generated and integrated plasma proteomics and metabolomics with the genotype datasets of over 2300 European (EUR) and 400 African (AFR) ancestries to identify ancestry-specific multi-omics quantitative trait loci (QTLs). In total, we mapped 954 AFR pQTLs, 2848 EUR pQTLs, 65 AFR mQTLs, and 490 EUR mQTLs. We further applied these QTLs to ancestry-stratified type-2 diabetes (T2D) risk to pinpoint key proteins and metabolites underlying the disease-associated genetic loci.
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Genetic architecture of cerebrospinal fluid and brain metabolite levels and the genetic colocalization of metabolites with human traits - Nature Genetics

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By Ciyang Wang, Chengran Yang, Daniel Western, Muhammad Shoaib Ali, Yueyao Wang, John Budde, Agustín Ruiz, Maria Fernandez, María Fernández, Daniel J. Panyard, Yuetiva Deming, Mercè Boada, Pablo García-González, Richard Perrin, Yun Ju Sung
| Nature Verified
Abstract Brain metabolism perturbation can contribute to traits and diseases. We conducted a genome-wide association study for cerebrospinal fluid (CSF) and brain metabolite levels, identifying 205 independent associations (47.3% new signals, containing 11 new loci) for 139 CSF metabolites, and 32 independent associations (43.8% new signals, containing 4 new loci) for 31 brain metabolites.
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