001     178590
005     20240229143550.0
024 7 _ |a 10.14309/ctg.0000000000000458
|2 doi
024 7 _ |a pmid:35060941
|2 pmid
024 7 _ |a altmetric:121385210
|2 altmetric
037 _ _ |a DKFZ-2022-00139
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Niedermaier, Tobias
|0 P:(DE-He78)20dc4ad11ff465acf5b99f1e679e10b7
|b 0
|e First author
|u dkfz
245 _ _ |a Variation of positive predictive values of fecal immunochemical tests by polygenic risk score in a large screening cohort.
260 _ _ |a London
|c 2022
|b Nature Publ. Group
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1651150675_30565
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #EA:C070#LA:C070#LA:C120# / 2022 Jan 19;13(3):e00458
520 _ _ |a Prevalence of colorectal neoplasms varies by polygenic risk scores (PRS). We aimed to assess to what extent PRS might be relevant for defining personalized cutoff values for fecal immunochemical tests (FITs) in colorectal cancer (CRC) screening.Among 5,306 participants of screening colonoscopy who provided a stool sample for a quantitative FIT (Ridascreen Hemoglobin or FOB Gold) prior to colonoscopy a PRS was determined, based on the number of risk alleles in 140 , single nucleotide polymorphism. Subjects were classified into low, medium and high genetic risk for colorectal neoplasms according to PRS tertiles. We calculated positive predictive values (PPVs) and numbers needed to scope (NNS) to detect one advanced neoplasm (AN) by risk group, and cutoff variation needed to achieve comparable PPVs across risk groups in the samples tested with Ridascreen (N=1,271) and FOB Gold (N=4,035) independently, using cutoffs yielding 85%, 90% or 95% specificity.Performance of both FITs was very similar within each PRS group. For a given cutoff, PPVs were consistently higher by 11%-15% units in the high-risk PRS group compared to the low-risk group (all P-values <0.05). Correspondingly, numbers needed to scope (NNS) to detect one advanced neoplasm varied from 2 (high PRS, high cutoff) to 5 (low PRS, low cutoff). Conversely, very different FIT cutoffs would be needed to ensure comparable PPVs across PRS groups.PPVs and NNS of FITs varied widely across people with high and low genetic risk score. Further research should evaluate the relevance of these differences for personalized CRC screening.This study was partly funded by grants from the German Research Council (DFG, grant No. BR1704/16-1), the Federal Ministry of Education and Research (BMBF, grant no. 01GL1712), and the German Cancer Aid (No. 70113330).
536 _ _ |a 313 - Krebsrisikofaktoren und Prävention (POF4-313)
|0 G:(DE-HGF)POF4-313
|c POF4-313
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
700 1 _ |a Balavarca, Yesilda
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Gies, Anton
|0 P:(DE-He78)6d4d6a0e2d726f899086ca98cd560922
|b 2
|u dkfz
700 1 _ |a Weigl, Korbinian
|0 P:(DE-He78)f4e98340e600f7411886c21c7b778d36
|b 3
|u dkfz
700 1 _ |a Guo, Feng
|0 P:(DE-He78)0311ebf3415e41860b4e2c56fbae6919
|b 4
|u dkfz
700 1 _ |a Alwers, Elizabeth
|0 P:(DE-He78)9b2a61b2abe4a64ca23b6783b7c4fe63
|b 5
|u dkfz
700 1 _ |a Hoffmeister, Michael
|0 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f
|b 6
|u dkfz
700 1 _ |a Brenner, Hermann
|0 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
|b 7
|e Last author
|u dkfz
773 _ _ |a 10.14309/ctg.0000000000000458
|g Vol. Publish Ahead of Print
|0 PERI:(DE-600)2581516-7
|n 3
|p e00458
|t Clinical and translational gastroenterology
|v 13
|y 2022
|x 2155-384X
909 C O |p VDB
|o oai:inrepo02.dkfz.de:178590
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)20dc4ad11ff465acf5b99f1e679e10b7
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-HGF)0
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)6d4d6a0e2d726f899086ca98cd560922
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 3
|6 P:(DE-He78)f4e98340e600f7411886c21c7b778d36
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)0311ebf3415e41860b4e2c56fbae6919
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)9b2a61b2abe4a64ca23b6783b7c4fe63
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)6c5d058b7552d071a7fa4c5e943fff0f
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)90d5535ff896e70eed81f4a4f6f22ae2
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-313
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Krebsrisikofaktoren und Prävention
|x 0
914 1 _ |y 2022
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND (No Version)
|0 LIC:(DE-HGF)CCBYNCNDNV
|2 V:(DE-HGF)
|b DOAJ
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-29
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-29
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2021-01-29
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2021-01-29
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CLIN TRANSL GASTROEN : 2021
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2019-08-29T13:10:21Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2019-08-29T13:10:21Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
|d 2019-08-29T13:10:21Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-12
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2022-11-12
920 2 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
920 2 _ |0 I:(DE-He78)C120-20160331
|k C120
|l Präventive Onkologie
|x 1
920 1 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
920 1 _ |0 I:(DE-He78)C120-20160331
|k C120
|l Präventive Onkologie
|x 1
920 1 _ |0 I:(DE-He78)HD01-20160331
|k HD01
|l DKTK HD zentral
|x 2
920 0 _ |0 I:(DE-He78)C070-20160331
|k C070
|l C070 Klinische Epidemiologie und Alternf.
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C070-20160331
980 _ _ |a I:(DE-He78)C120-20160331
980 _ _ |a I:(DE-He78)HD01-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21