Lessons from applied large-scale pooling of 133,816 SARS-CoV-2 RT-PCR tests.
Journal
Science translational medicine
ISSN: 1946-6242
Titre abrégé: Sci Transl Med
Pays: United States
ID NLM: 101505086
Informations de publication
Date de publication:
14 04 2021
14 04 2021
Historique:
received:
16
10
2020
revised:
28
12
2020
accepted:
16
02
2021
pubmed:
24
2
2021
medline:
24
6
2021
entrez:
23
2
2021
Statut:
ppublish
Résumé
Pooling multiple swab samples before RNA extraction and real-time reverse transcription polymerase chain reaction (RT-PCR) analysis has been proposed as a strategy to reduce costs and increase throughput of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) tests. However, reports on practical large-scale group testing for SARS-CoV-2 have been scant. Key open questions concern reduced sensitivity due to sample dilution, the rate of false positives, the actual efficiency (number of tests saved by pooling), and the impact of infection rate in the population on assay performance. Here, we report an analysis of 133,816 samples collected between April and September 2020 and tested by Dorfman pooling for the presence of SARS-CoV-2. We spared 76% of RNA extraction and RT-PCR tests, despite the frequently changing prevalence (0.5 to 6%). We observed pooling efficiency and sensitivity that exceeded theoretical predictions, which resulted from the nonrandom distribution of positive samples in pools. Overall, our findings support the use of pooling for efficient large-scale SARS-CoV-2 testing.
Identifiants
pubmed: 33619081
pii: scitranslmed.abf2823
doi: 10.1126/scitranslmed.abf2823
pmc: PMC8099176
pii:
doi:
Substances chimiques
RNA, Viral
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIGMS NIH HHS
ID : U54 GM088558
Pays : United States
Investigateurs
A Klochendler
(A)
A Eden
(A)
A Klar
(A)
A Geldman
(A)
A Arbel
(A)
B Shalom
(B)
B L Ochana
(BL)
D Avrahami-Tzfati
(D)
D Neiman
(D)
D Steinberg
(D)
D Ben Zvi
(D)
E Shpigel
(E)
G Atlan
(G)
H Klein
(H)
H Chekroun
(H)
H Shani
(H)
I Hazan
(I)
I Ansari
(I)
I Magenheim
(I)
J Moss
(J)
L Peretz
(L)
L Feigin
(L)
M Saraby
(M)
M Sherman
(M)
M Bentata
(M)
M Avital
(M)
M Kott
(M)
M Peyser
(M)
M Weitz
(M)
M Shacham
(M)
M Grunewald
(M)
N Sasson
(N)
N Wallis
(N)
N Azazmeh
(N)
N Tzarum
(N)
O Fridlich
(O)
R Sher
(R)
R Condiotti
(R)
R Refaeli
(R)
R Zaken-Gallili
(R)
R Helman
(R)
S Ofek
(S)
S Tzaban
(S)
S Piyanzin
(S)
S Anzi
(S)
S Dagan
(S)
S Lilenthal
(S)
T Friehmann
(T)
Y Kaufman
(Y)
A Saada
(A)
A Dekel
(A)
A Yeffet
(A)
A Shaag
(A)
A Michael-Gayego
(A)
E Shay
(E)
E Arbib
(E)
H Onallah
(H)
K Ben-Meir
(K)
L Levinzon
(L)
L Cohen-Daniel
(L)
L Natan
(L)
M Hamdan
(M)
M Shwieki
(M)
O Vorontsov
(O)
R Barsuk
(R)
R Abramovitch
(R)
R Gutorov
(R)
S Sirhan
(S)
S Abdeen
(S)
Y Yachnin
(Y)
H Golan-Berman
(H)
E Amir
(E)
T Fridman
(T)
E Chabube Kripper
(E)
T Miriam Rohrlich
(T)
G Batshon
(G)
L Mendelovitz
(L)
Informations de copyright
Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY).
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