{"type": "root", "children": [{"type": "p", "children": [{"type": "t", "text": "\n Recent genomic studies have increasingly pointed to long non‐coding RNAs as important regulatory elements in disease. One study focused on cardiometabolic traits using two‐point linkage and single variant association analyses in a Hispanic cohort (1). Although that investigation concentrated on high‐impact single‐nucleotide polymorphisms and did not explicitly examine long non‐coding RNAs, its success in mapping genomic regions of interest underscores the potential of regulatory elements—which include lncRNAs—in modulating complex traits.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n In a separate study on osteosarcoma, an integration of next‐generation sequencing data identified a susceptibility lncRNA that was shown to regulate a network of seven genes. Among these targets, the expression of ALPL was notably consistent with plasma alkaline phosphatase levels, suggesting that the involved lncRNA may influence tumor biology and serve as a promising biomarker (2). If LINC01372 is considered within this context, it may be implicated as one such susceptibility lncRNA whose function involves regulating downstream gene expression relevant to osteosarcoma pathogenesis.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n Together, these findings imply that lncRNAs such as LINC01372 could have a dual significance. On one hand, while family‐based linkage studies emphasize the importance of mapping genomic regions that may harbor regulatory elements for complex traits, on the other, osteosarcoma research reveals that specific lncRNAs can modulate critical disease‐associated genes. Further investigation is warranted to elucidate the precise mechanisms by which LINC01372—and similar lncRNAs—mediate gene regulation, with the ultimate goal of refining disease biomarkers and therapeutic targets.\n "}]}, {"type": "t", "text": "\n "}, {"type": "p", "children": [{"type": "t", "text": "\n (1)"}, {"type": "fg", "children": [{"type": "fg_f", "ref": "1"}]}, {"type": "t", "text": "; (2)."}, {"type": "fg", "children": [{"type": "fg_f", "ref": "2"}]}, {"type": "t", "text": ""}]}, {"type": "rg", "children": [{"type": "r", "ref": 1, "children": [{"type": "t", "text": "Jacklyn N Hellwege, Nicholette D Palmer, Latchezar Dimitrov, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Genome-wide linkage and association analysis of cardiometabolic phenotypes in Hispanic Americans."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "J Hum Genet (2017)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.1038/jhg.2016.103"}], "href": "https://doi.org/10.1038/jhg.2016.103"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "27535031"}], "href": "https://pubmed.ncbi.nlm.nih.gov/27535031"}]}, {"type": "r", "ref": 2, "children": [{"type": "t", "text": "Junjie Bao, Zhaona Song, Chunyu Song, et al. "}, {"type": "b", "children": [{"type": "t", "text": "Identification of Biomarkers for Osteosarcoma Based on Integration Strategy."}]}, {"type": "t", "text": " "}, {"type": "i", "children": [{"type": "t", "text": "Med Sci Monit (2020)"}]}, {"type": "t", "text": " DOI: "}, {"type": "a", "children": [{"type": "t", "text": "10.12659/MSM.920803"}], "href": "https://doi.org/10.12659/MSM.920803"}, {"type": "t", "text": " PMID: "}, {"type": "a", "children": [{"type": "t", "text": "32173717"}], "href": "https://pubmed.ncbi.nlm.nih.gov/32173717"}]}]}]}