{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Recent integrative studies have applied transcriptome‐based imputation methods to uncover novel genetic contributors to cardiometabolic disease risk. In one such study"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": ", researchers used approaches such as PrediXcan"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": "and S‐PrediXcan "}, {"type": "a", "children": [{"type": "t", "text": "(3)"}], "href": "https://pubmed.ncbi.nlm.nih.gov/insert_the_pmid/"}, {"type": "t", "text": " to estimate tissue‐specific, genetically regulated gene expression across diverse ancestry groups and then associate these imputed expression levels with 15 cardiometabolic traits. Among the novel gene–phenotype associations discovered, FAM166C emerged as a candidate gene showing significant differential predicted expression in relation to complex cardiometabolic traits such as blood lipid levels, body mass index, blood pressure, and related biomarkers. Although its precise biological function remains to be fully determined, the association of FAM166C with these traits indicates that genetic variation influencing its expression may contribute to the underlying mechanisms of metabolic and cardiovascular dysfunction. These findings not only demonstrate the utility of transcriptome‐imputation models for gene discovery but also highlight FAM166C as a promising target for further functional studies aimed at elucidating its role in cardiometabolic disease.\n "}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Lauren E Petty, Heather M Highland, Eric R Gamazon, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Functionally oriented analysis of cardiometabolic traits in a trans-ethnic sample."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Hum Mol Genet (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1093/hmg/ddy435"}], "href": "https://doi.org/10.1093/hmg/ddy435"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "30624610"}], "href": "https://pubmed.ncbi.nlm.nih.gov/30624610"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Heather A Ciesielski, Leanne Tamm, Aaron J Vaughn, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Academic Skills Groups for Middle School Children With ADHD in the Outpatient Mental Health Setting: An Open Trial."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Atten Disord (2019)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1177/1087054715584055"}], "href": "https://doi.org/10.1177/1087054715584055"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "25926629"}], "href": "https://pubmed.ncbi.nlm.nih.gov/25926629"}]}]}]}