Keramat SA, Alam K, Rana RH, Chowdhury R, Farjana F, Hashmi R, et al. Obesity and the risk of developing chronic diseases in middle-aged and older adults: Findings from an Australian longitudinal population survey, 2009–2017. PLoS One. 2021;16:e0260158.
Article CAS PubMed PubMed Central Google Scholar
Hales CM, National Center for Health S. Prevalence of obesity and severe obesity among adults: United States, 2017–2018. Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics; 2020.
Dietrich MO, Horvath TL. Limitations in anti-obesity drug development: the critical role of hunger-promoting neurons. Nat Rev Drug Discov. 2012;11:675–91.
Article CAS PubMed Google Scholar
Pushpakom S, Iorio F, Eyers PA, Escott KJ, Hopper S, Wells A, et al. Drug repurposing: progress, challenges and recommendations. Nat Rev Drug Discov. 2019;18:41–58.
Article CAS PubMed Google Scholar
Gjermeni E, Kirstein AS, Kolbig F, Kirchhof M, Bundalian L, Katzmann JL, et al. Obesity-An Update on the Basic Pathophysiology and Review of Recent Therapeutic Advances. Biomolecules. 2021;11:1426.
Article CAS PubMed PubMed Central Google Scholar
Tam V, Patel N, Turcotte M, Bosse Y, Pare G, Meyre D. Benefits and limitations of genome-wide association studies. Nat Rev Genet. 2019;20:467–84.
Article CAS PubMed Google Scholar
Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518:197–206.
Article CAS PubMed PubMed Central Google Scholar
Yengo L, Sidorenko J, Kemper KE, Zheng Z, Wood AR, Weedon MN, et al. Meta-analysis of genome-wide association studies for height and body mass index in approximately 700000 individuals of European ancestry. Hum Mol Genet. 2018;27:3641–9.
Article CAS PubMed PubMed Central Google Scholar
Kamali Z, Keaton JM, Haghjooy Javanmard S, International Consortium Of Blood P, Million Veteran P, e QC. Large-scale multi-omics studies provide new insights into blood pressure regulation. Int J Mol Sci. 2022;23:7557.
Article CAS PubMed PubMed Central Google Scholar
Cheng M, Mei B, Zhou Q, Zhang M, Huang H, Han L, et al. Computational analyses of obesity associated loci generated by genome-wide association studies. PLoS One. 2018;13:e0199987.
Article PubMed PubMed Central Google Scholar
Yu Y, Zhang YH, Liu L, Yu LL, Li JP, Rao JA, et al. Bioinformatics analysis of candidate genes and potential therapeutic drugs targeting adipose tissue in obesity. Adipocyte 2022;11:1–10.
Dong S, Zhao N, Spragins E, Kagda MS, Li M, Assis P, et al. Annotating and prioritizing human non-coding variants with RegulomeDB v.2. Nat Genet. 2023;55:724–6.
Article CAS PubMed Google Scholar
Watanabe K, Taskesen E, van Bochoven A, Posthuma D. Functional mapping and annotation of genetic associations with FUMA. Nat Commun. 2017;8:1826.
Article PubMed PubMed Central Google Scholar
Mancuso N, Shi H, Goddard P, Kichaev G, Gusev A, Pasaniuc B. Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex Traits. Am J Hum Genet. 2017;100:473–87.
Article CAS PubMed PubMed Central Google Scholar
Szklarczyk D, Kirsch R, Koutrouli M, Nastou K, Mehryary F, Hachilif R, et al. The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Res. 2023;51:D638–46.
Article CAS PubMed Google Scholar
Chin CH, Chen SH, Wu HH, Ho CW, Ko MT, Lin CY. cytoHubba: identifying hub objects and sub-networks from complex interactome. BMC Syst Biol. 2014;8:S11.
Article PubMed PubMed Central Google Scholar
Evangelista JE, Xie Z, Marino GB, Nguyen N, Clarke DJB, Ma’ayan A. Enrichr-KG: bridging enrichment analysis across multiple libraries. Nucleic Acids Res. 2023;51:W168–79.
Article PubMed PubMed Central Google Scholar
Freshour SL, Kiwala S, Cotto KC, Coffman AC, McMichael JF, Song JJ, et al. Integration of the Drug-Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts. Nucleic Acids Res 2021;49:D1144–51.
Article CAS PubMed Google Scholar
Kuhn M, Letunic I, Jensen LJ, Bork P. The SIDER database of drugs and side effects. Nucleic Acids Res. 2016;44:D1075–9.
Article CAS PubMed Google Scholar
Yang J, Ferreira T, Morris AP, Medland SE, Genetic Investigation of ATC, Replication DIG. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits. Nat Genet. 2012;44:369–75.
Article CAS PubMed PubMed Central Google Scholar
Nica AC, Dermitzakis ET. Expression quantitative trait loci: present and future. Philos Trans R Soc Lond B Biol Sci. 2013;368:20120362.
Article PubMed PubMed Central Google Scholar
Consortium GT. The GTEx Consortium atlas of genetic regulatory effects across human tissues. Science 2020;369:1318–30.
de Leeuw CA, Mooij JM, Heskes T, Posthuma D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput Biol. 2015;11:e1004219.
Article PubMed PubMed Central Google Scholar
Gusev A, Ko A, Shi H, Bhatia G, Chung W, Penninx BW, et al. Integrative approaches for large-scale transcriptome-wide association studies. Nat Genet. 2016;48:245–52.
Article CAS PubMed PubMed Central Google Scholar
Loos RJF, Yeo GSH. The genetics of obesity: from discovery to biology. Nat Rev Genet. 2022;23:120–33.
Article CAS PubMed Google Scholar
von Mering C, Krause R, Snel B, Cornell M, Oliver SG, Fields S, et al. Comparative assessment of large-scale data sets of protein-protein interactions. Nature 2002;417:399–403.
Koschutzki D, Schreiber F. Centrality analysis methods for biological networks and their application to gene regulatory networks. Gene Regul Syst Bio. 2008;2:193–201.
PubMed PubMed Central Google Scholar
Maleki F, Ovens K, Hogan DJ, Kusalik AJ. Gene set analysis: challenges, opportunities, and future research. Front Genet. 2020;11:654.
Article PubMed PubMed Central Google Scholar
Spear BB, Heath-Chiozzi M, Huff J. Clinical application of pharmacogenetics. Trends Mol Med. 2001;7:201–4.
Article CAS PubMed Google Scholar
Coleman JJ, Pontefract SK. Adverse drug reactions. Clin Med (Lond). 2016;16:481–5.
Lipsitch M, Tchetgen Tchetgen E, Cohen T. Negative controls: a tool for detecting confounding and bias in observational studies. Epidemiology. 2010;21:383–8.
Article PubMed PubMed Central Google Scholar
Munoz-Fuentes V, Cacheiro P, Meehan TF, Aguilar-Pimentel JA, Brown SDM, Flenniken AM, et al. The International Mouse Phenotyping Consortium (IMPC): a functional catalogue of the mammalian genome that informs conservation. Conserv Genet. 2018;19:995–1005.
Article PubMed PubMed Central Google Scholar
Ndiaye FK, Huyvaert M, Ortalli A, Canouil M, Lecoeur C, Verbanck M, et al. The expression of genes in top obesity-associated loci is enriched in insula and substantia nigra brain regions involved in addiction and reward. Int J Obes (Lond). 2020;44:539–43.
Article CAS PubMed Google Scholar
Zeltser LM. Feeding circuit development and early-life influences on future feeding behaviour. Nat Rev Neurosci. 2018;19:302–16.
Article CAS PubMed PubMed Central Google Scholar
Grill HJ, Hayes MR. Hindbrain neurons as an essential hub in the neuroanatomically distributed control of energy balance. Cell Metab. 2012;16:296–309.
Article CAS PubMed PubMed Central Google Scholar
Timshel PN, Thompson JJ, Pers TH. Genetic mapping of etiologic brain cell types for obesity. Elife 2020;9:e55851.
Article CAS PubMed PubMed Central Google Scholar
O’Brien PD, Hinder LM, Callaghan BC, Feldman EL. Neurological consequences of obesity. Lancet Neurol. 2017;16:465–77.
Comments (0)