Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.
Burden G, Fitzmaurice C, Akinyemiju T, Al Lami F, Alam T, Alizadeh-Navaei R, et al. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2016: a systematic analysis for the global burden of disease study. JAMA Oncol. 2018;4(11):1553–68.
Keum N, Greenwood DC, Lee DH, Kim R, Aune D, Ju W, et al. Adult weight gain and adiposity-related cancers: a dose-response meta-analysis of prospective observational studies. J Natl Cancer Inst. 2015;107(2):djv088.
Yoon YS, Kwon AR, Lee YK, Oh SW. Circulating adipokines and risk of obesity related cancers: A systematic review and meta-analysis. Obes Res Clin Pract. 2019;13(4):329–39.
Simone V, D’avenia M, Argentiero A, Felici C, Rizzo FM, De Pergola G, et al. Obesity and breast cancer: molecular interconnections and potential clinical applications. Oncologist. 2016;21(4):404–17.
Kaklamani V, Yi N, Sadim M, Siziopikou K, Zhang K, Xu Y, et al. The role of the fat mass and obesity associated gene (FTO) in breast cancer risk. BMC Med Genet. 2011;12(1):1–10.
Gallicchio L, McSorley MA, Newschaffer CJ, Huang HY, Thuita LW, Hoffman SC, et al. Body mass, polymorphisms in obesity-related genes, and the risk of developing breast cancer among women with benign breast disease. Cancer Detect Prev. 2007;31(2):95–101.
Sayad S, Dastgheib SA, Farbod M, Asadian F, Karimi-Zarchi M, Salari S, et al. Association of PON1, LEP and LEPR Polymorphisms with Susceptibility to Breast Cancer: A Meta-Analysis. Asian Pac J Cancer Prev: APJCP. 2021;22(8):2323.
Chuang LY, Chang HW, Lin MC, Yang CH. Chaotic particle swarm optimization for detecting SNP–SNP interactions for CXCL12-related genes in breast cancer prevention. Eur J Cancer Prev. 2012;21(4):336–42.
Huang S, Liu L, Xiang Y, Wang F, Yu L, Zhou F, et al. Association of PTPN1 polymorphisms with breast cancer risk: A case-control study in Chinese females. J Cell Biochem. 2019;120(7):12039–50.
Ghosh S, Watanabe RM, Hauser ER, Valle T, Magnuson VL, Erdos MR, et al. Type 2 diabetes: evidence for linkage on chromosome 20 in 716 Finnish affected sib pairs. Proc Natl Acad Sci. 1999;96(5):2198–203.
Lee JH, Reed DR, Li WD, Xu W, Joo EJ, Kilker RL, et al. Genome scan for human obesity and linkage to markers in 20q13. Am J Hum Genet. 1999;64(1):196–209.
Soro A, Pajukanta P, Lilja HE, Ylitalo K, Hiekkalinna T, Perola M, et al. Genome scans provide evidence for low-HDL-C loci on chromosomes 8q23, 16q24. 1–24.2, and 20q13. 11 in Finnish families. Am J Hum Genet. 2002;70(5):1333–40.
Yu LX, Liu LY, Xiang YJ, Wang F, Zhou F, Huang SY, et al. XRCC5/6 polymorphisms and their interactions with smoking, alcohol consumption, and sleep satisfaction in breast cancer risk: A Chinese multi-center study. Cancer Med. 2021;10(8):2752–62.
Schadt EE. Molecular networks as sensors and drivers of common human diseases. Nature. 2009;461(7261):218–23.
Gong BS, Zhang QP, Zhang GM, Zhang SJ, Zhang W, Lv HC, et al. Single-nucleotide polymorphism-gene intermixed networking reveals co-linkers connected to multiple gene expression phenotypes. In: BMC proceedings. BioMed Central. 2007;1(1):1–7.
Chen J, Wang X, Hu B, He Y, Qian X, Wang W. Candidate genes in gastric cancer identified by constructing a weighted gene co-expression network. PeerJ. 2018;6: e4692.
Jubair S, Alkhateeb A, Tabl AA, Rueda L, Ngom A. A novel approach to identify subtype-specific network biomarkers of breast cancer survivability. Network Model Anal Health Inform Bioinform. 2020;9(1):1–12.
Zhou L, Rueda M, Alkhateeb A. Classification of breast cancer nottingham prognostic index using high-dimensional embedding and residual neural network. Cancers. 2022;14(4):934.
Chen H, He Y, Ji J, Shi Y. A machine learning method for identifying critical interactions between gene pairs in alzheimer’s disease prediction. Frontiers in Neurology. 2019;10:1162.
Onay VÜ, Briollais L, Knight JA, Shi E, Wang Y, Wells S, et al. SNP-SNP interactions in breast cancer susceptibility. BMC Cancer. 2006;6(1):1–16.
Sapkota Y, Mackey JR, Lai R, Franco-Villalobos C, Lupichuk S, Robson PJ, et al. Assessing SNP-SNP interactions among DNA repair, modification and metabolism related pathway genes in breast cancer susceptibility. PLoS ONE. 2013;8(6): e64896.
Ji J, He D, Feng Y, He Y, Xue F, Xie L. JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data. Bioinform. 2017;33(19):3080–7.
Liu LY, Wang F, Cui SD, Tian FG, Fan ZM, Geng CZ, et al. A case-control study on risk factors of breast cancer in Han Chinese women. Oncotarget. 2017;8(57):97217.
Ahmed M, Mulugeta A, Lee SH, Mäkinen VP, Boyle T, Hyppönen E. Adiposity and cancer: a Mendelian randomization analysis in the UK biobank. Int J Obes. 2021;45(12):2657–65.
Robinson MD, McCarthy DJ, Smyth GK. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics. 2010;26(1):139–40.
Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics. 2012;16(5):284–7.
von Mering C, Huynen M, Jaeggi D, Schmidt S, Bork P, Snel B. STRING: a database of predicted functional associations between proteins. Nucleic Acids Res. 2003;31(1):258–61.
Considine RV, Caro JF, Considine EL, Williams CJ, Hyde TM. Identification of Incidental Sequence Polymorphisms and Absence of the db/db Mouse and fa/fa Rat Mutations. Diabetes. 1996;45(7):992–4.
López M. Hypothalamic AMPK and energy balance. Eur J Clin Invest. 2018;48(9): e12996.
Ponnusamy L, Natarajan SR, Thangaraj K, Manoharan R. Therapeutic aspects of AMPK in breast cancer: Progress, challenges, and future directions. Biochimica et Biophysica Acta (BBA)-Reviews on Cancer. 2020;1874(1):188379.
Bains V, Kaur H, Badaruddoza B. Association analysis of polymorphisms in LEP (rs7799039 and rs2167270) and LEPR (rs1137101) gene towards the development of type 2 diabetes in North Indian Punjabi population. Gene. 2020;754: 144846.
Hosney M, Sabet S, El-Shinawi M, Gaafar KM, Mohamed MM. Leptin is overexpressed in the tumor microenvironment of obese patients with estrogen receptor positive breast cancer. Exp Ther Med. 2017;13(5):2235–46.
Illangasekera Y, Kumarasiri P, Fernando D, Dalton C. Association of the leptin receptor Q223R (rs1137101) polymorphism with obesity measures in Sri Lankans. BMC Res Notes. 2020;13(1):1–4.
Sun Q, Cornelis MC, Kraft P, Qi L, van Dam RM, Girman CJ, et al. Genome-wide association study identifies polymorphisms in LEPR as determinants of plasma soluble leptin receptor levels. Hum Mol Genet. 2010;19(9):1846–55.
Lee YC, Chen YJ, Wu CC, Lo S, Hou MF, Yuan SSF. Resistin expression in breast cancer tissue as a marker of prognosis and hormone therapy stratification. Gynecol Oncol. 2012;125(3):742–50.
Dalamaga M, Sotiropoulos G, Karmaniolas K, Pelekanos N, Papadavid E, Lekka A. Serum resistin: a biomarker of breast cancer in postmenopausal women? Association with clinicopathological characteristics, tumor markers, inflammatory and metabolic parameters. Clin Biochem. 2013;46(7–8):584–90.
Fantuzzi G. Adipose tissue, adipokines, and inflammation. J Allergy clin immunol. 2005;115(5):911–9.
Bokarewa M, Nagaev I, Dahlberg L, Smith U, Tarkowski A. Resistin, an Adipokine with Potent Proinflammatory Properties. J Immunol. 2005;174(9):5789.
Filková M, Haluzík M, Gay S, Šenolt L. The role of resistin as a regulator of inflammation: Implications for various human pathologies. Clin Immunol. 2009;133(2):157–70.
Fu YP, Yu JC, Cheng TC, Lou MA, Hsu GC, Wu CY, et al. Breast cancer risk associated with genotypic polymorphism of the nonhomologous end-joining genes: a multigenic study on cancer susceptibility. Can Res. 2003;63(10):2440–6.
Sun H, Li Q, Yin G, Ding X, Xie J. Ku70 and Ku80 participate in LPS-induced pro-inflammatory cytokines production in human macrophages and monocytes. Aging (Albany NY). 2020;12(20):20432.
Maher B. Personal genomes: The case of the missing heritability. Nature. 2008;456(7218):18–21.
Yang S, Liu Y, Jiang N, Chen J, Leach L, Luo Z, et al. Genome-wide eQTLs and heritability for gene expression traits in unrelated individuals. BMC Genomics. 2014;15(1):1–12.
Suzuki Y, Tsunoda H, Kimura T, Yamauchi H. BMI change and abdominal circumference are risk factors for breast cancer, even in Asian women. Breast Cancer Res Treat. 2017;166(3):919–25.
Li T, Tang L, Gandomkar Z, Heard R, Mello-Thoms C, Shao Z, et al. Mammographic density and other risk factors for breast cancer among women in China. Breast J. 2018;24(3):426–8.