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For: Lv D, Zhou D, Zhang Y, Zhang S, Zhu YM. Two obesity susceptibility loci in LYPLAL1 and ETV5 independently associated with childhood hypertension in Chinese population. Gene 2017;627:284-9. [PMID: 28645872 DOI: 10.1016/j.gene.2017.06.030] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 0.8] [Reference Citation Analysis]
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1 Marcos-pasero H, Aguilar-aguilar E, de la Iglesia R, Espinosa-salinas I, Molina S, Colmenarejo G, Martínez JA, Ramírez de Molina A, Reglero G, Loria-kohen V. “GENYAL” Study to Childhood Obesity Prevention: Methodology and Preliminary Results. Front Nutr 2022;9:777384. [DOI: 10.3389/fnut.2022.777384] [Reference Citation Analysis]
2 Pujar M, Vastrad B, Kavatagimath S, Vastrad C, Kotturshetti S. Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis. Sci Rep 2022;12:9157. [PMID: 35650387 DOI: 10.1038/s41598-022-13291-1] [Reference Citation Analysis]
3 Li Y, Zhao W, Li D, Tao X, Xiong Z, Liu J, Zhang W, Ji A, Tang K, Liu F, Li C. EDAR, LYPLAL1, PRDM16, PAX3, DKK1, TNFSF12, CACNA2D3, and SUPT3H gene variants influence facial morphology in a Eurasian population. Hum Genet 2019;138:681-9. [PMID: 31025105 DOI: 10.1007/s00439-019-02023-7] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 3.3] [Reference Citation Analysis]
4 Drew JE. Challenges of the heterogeneous nutrition response: interpreting the group mean. Proc Nutr Soc 2020;79:174-83. [PMID: 31239000 DOI: 10.1017/S002966511900096X] [Cited by in Crossref: 2] [Article Influence: 0.7] [Reference Citation Analysis]