Table 1 Summary of results for different secure genomic multiparty computation scenarios, all using real patient data.

N/R, not relevant.

OperationRelevant information for each operationRunning time measurements
MAX
(over genes)
Scenario:
small
disease
cohort
No. of
unrelated
probands
(who avoid
openly sharing
their data)
No. of rare
functional
variants
(genes) per
proband
(median)
No. of
probands
with rare
functional
variant/s in
gene (top
three,
descending
order)
Gene nameProven
causal gene
for disease
Protection
quotient
(1 – no. of
variants shared of top gene/total no. of variants)
Bandwidth
(gigabytes)
Compute (s)Network (s)
Freeman-
Sheldon
syndrome
3258 (253)3MYH3MYH31 – 3/767 = 99.6%0.020.154.91
2DBT
1ACADVL
Hajdu-
Cheney
syndrome
7278 (272)6NOTCH2NOTCH21 – 6/1853 = 99.7%0.030.187.29
3HLA-DRBI
3MCC
Kabuki
syndrome
10262 (257)8KMT2DKMT2D1 – 8/2754 = 99.7%0.040.229.59
3COL6A1
3FLNB
Miller
syndrome
4267 (258)4DHODHDHODH1 – 8/1063 = 99.2%0.030.187.29
3DNAH5
2ACOX2
SETDIFF
(over variants)
Scenario:
familial
Family memberNo. of rare
functional
variants
(not shared)
No. of
proband-only
variants
(revealed)
Gene nameProven
causal gene
Protection
quotient
Bandwidth
(gigabytes)
Compute
(min)
Network
(min)
TrioFather185N/RN/RACTB1 – 2/524 = 99.6%18.11.756.7
Mother164N/RN/R
Proband1752ACTB
USH2A
INTERSECTION
(over variants)
Scenario:
two hospitals
No. of
suspicious
variants
(not shared)
Total intersecting variants (for patient phenotype comparison follow-up)Protection quotientBandwidth
(gigabytes)
Compute
(min)
Network
(min)
Washington57341591 – 318/11,067 = 97.1%3.10.379.4
Baylor5333