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Lu et al. J Transl Genet Genom 2020;4:203-9 I http://dx.doi.org/10.20517/jtgg.2020.33 Page 207

Symptom-based diagnostics
(Depression/manic/cognitive)

Visual or morphological evaluations
(Brain or cerebral cortex/location)

Biochemical or molecular
(Immune-based assay, omics techniques and so on)

Genetics or genomics

Figure 2. Evolution of diagnostics in suicide and mental disorders [2]

FUTURE DIRECTIONS
There are several future directions for optimizing genetic/molecular-based diagnostics for suicide
prediction and prevention. From these efforts, a patient’s suicide risk may be quickly understood via high
throughput and low cost diagnostics. Targeted drug therapeutics or other types of specific, highly effective
interventions can then be clinical implemented [Figure 2].

(1) Scientific testing, scoring and computational networks for clinical data relationship buildup between
disease causalities, progression, mortality and possible drug targeting;
(2) Comparisons of different scoring algorithms or calculation systems and customization of several
workable paradigms for future clinical personalized medicine application;
(3) Establishment of the relationship between clinical diagnosis and treatment via modern technique-based
ways (from genetic to molecular to visual or from visual to molecular or genetics);
(4) Increasing the accumulation of clinical genetic or molecular data (>5000 clinical cases between patients
at high suicide risk and normal persons);
(5) Collecting and evaluating data from the diagnostic relationship between genetic polymorphisms,
chemical and environmental factors of multiple disciplines [32-41] .

CONCLUSION
The prediction and prevention of human suicide, especially in diagnostics, must be greatly promoted and
improved. Much work is still needed in the clinic, including clinical diagnosis and effective, targeted drugs
for the safeguarding of patients at high suicide risk.

DECLARATIONS
Authors’ contributions
Article writing: Lu DY, Cao S
Data collection and analysis: Wu HY, Che JY

Availability of data and materials
Not applicable.

Financial support and sponsorship
None.