The Perspective of Healthy Individuals on Breast Cancer Risk Prediction Report In The Indonesian Population

In 2016, a meta-analysis showed that DNA-based risk reporting alone does not facilitate behavior change. However, there have been several studies showing that tailoring care plans related to diet may help with adherence to a tailored diet plan. Risk prediction report displays both Polygenic Risk Score (PRS) and modifiable (non-genetic) risk factors. Overtime, the investigators aim to combine both PRS and modifiable risk factors to have a localized and stronger prediction model for the local population. The risk prediction report is designed to tailor care plans for patients by their physicians or care planner. Focus groups allow deeper discussions in themes important to guide design of the report. This method has been used in previous similar studies, such as one by Cutting et al to understand physicians' preference in integrating genetic reports into daily practice. Studies also have shown that local adoption of personalized medicine and care is hindered by limited infrastructure of information management and awareness, despite personalized medicine being widely adopted in healthcare systems in developing countries.

Sex

Female

Minimum age

25 Years

Maximum age

75 Years

Inclusion Criteria:

1. Female
2. Able to give informed consent
3. Aged 25-75 years old
4. Have access to a mobile phone or computer with the Zoom application or a caregiver who is able to assist them with the Zoom application

Exclusion Criteria:

1\. Ever diagnosed with breast cancer

• BACKGROUNDHollands GJ, French DP, Griffin SJ, Prevost AT, Sutton S, King S, Marteau TM. The impact of communicating genetic risks of disease on risk-reducing health behaviour: systematic review with meta-analysis. BMJ. 2016 Mar 15;352:i1102. doi: 10.1136/bmj.i1102. PMID 26979548
• BACKGROUNDVranceanu M, Pickering C, Filip L, Pralea IE, Sundaram S, Al-Saleh A, Popa DS, Grimaldi KA. A comparison of a ketogenic diet with a LowGI/nutrigenetic diet over 6 months for weight loss and 18-month follow-up. BMC Nutr. 2020 Sep 24;6:53. doi: 10.1186/s40795-020-00370-7. eCollection 2020. PMID 32983551
• BACKGROUNDCutting E, Banchero M, Beitelshees AL, Cimino JJ, Fiol GD, Gurses AP, Hoffman MA, Jeng LJ, Kawamoto K, Kelemen M, Pincus HA, Shuldiner AR, Williams MS, Pollin TI, Overby CL. User-centered design of multi-gene sequencing panel reports for clinicians. J Biomed Inform. 2016 Oct;63:1-10. doi: 10.1016/j.jbi.2016.07.014. Epub 2016 Jul 14. PMID 27423699
• BACKGROUNDChong HY, Allotey PA, Chaiyakunapruk N. Current landscape of personalized medicine adoption and implementation in Southeast Asia. BMC Med Genomics. 2018 Oct 26;11(1):94. doi: 10.1186/s12920-018-0420-4. PMID 30367635
• BACKGROUNDLiu J, Ho PJ, Tan THL, Yeoh YS, Chew YJ, Mohamed Riza NK, Khng AJ, Goh SA, Wang Y, Oh HB, Chin CH, Kwek SC, Zhang ZP, Ong DLS, Quek ST, Tan CC, Wee HL, Li J, Iau PTC, Hartman M. BREAst screening Tailored for HEr (BREATHE)-A study protocol on personalised risk-based breast cancer screening programme. PLoS One. 2022 Mar 31;17(3):e0265965. doi: 10.1371/journal.pone.0265965. eCollection 2022. PMID 35358246
• BACKGROUNDHo WK, Tan MM, Mavaddat N, Tai MC, Mariapun S, Li J, Ho PJ, Dennis J, Tyrer JP, Bolla MK, Michailidou K, Wang Q, Kang D, Choi JY, Jamaris S, Shu XO, Yoon SY, Park SK, Kim SW, Shen CY, Yu JC, Tan EY, Chan PMY, Muir K, Lophatananon A, Wu AH, Stram DO, Matsuo K, Ito H, Chan CW, Ngeow J, Yong WS, Lim SH, Lim GH, Kwong A, Chan TL, Tan SM, Seah J, John EM, Kurian AW, Koh WP, Khor CC, Iwasaki M, Yamaji T, Tan KMV, Tan KTB, Spinelli JJ, Aronson KJ, Hasan SN, Rahmat K, Vijayananthan A, Sim X, Pharoah PDP, Zheng W, Dunning AM, Simard J, van Dam RM, Yip CH, Taib NAM, Hartman M, Easton DF, Teo SH, Antoniou AC. European polygenic risk score for prediction of breast cancer shows similar performance in Asian women. Nat Commun. 2020 Jul 31;11(1):3833. doi: 10.1038/s41467-020-17680-w.