Home > Publications database > Breast and prostate cancer risk: The interplay of polygenic risk, rare pathogenic germline variants, and family history > print

001     910598
005     20230123110711.0
024 7 _ |a 10.1016/j.gim.2021.11.009
|2 doi
024 7 _ |a 1098-3600
|2 ISSN
024 7 _ |a 1530-0366
|2 ISSN
024 7 _ |a 2128/32188
|2 Handle
024 7 _ |a 34906469
|2 pmid
024 7 _ |a WOS:000797902900004
|2 WOS
037 _ _ |a FZJ-2022-03976
082 _ _ |a 610
100 1 _ |a Hassanin, Emadeldin
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Breast and prostate cancer risk: The interplay of polygenic risk, rare pathogenic germline variants, and family history
260 _ _ |a London, UK
|c 2022
|b Springer Nature
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 1666954936_22685
|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
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a May, Patrick
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Aldisi, Rana
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Spier, Isabel
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Forstner, Andreas J.
|0 P:(DE-Juel1)186755
|b 4
700 1 _ |a Nöthen, Markus M.
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Aretz, Stefan
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Krawitz, Peter
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Bobbili, Dheeraj Reddy
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Maj, Carlo
|0 P:(DE-HGF)0
|b 9
|e Corresponding author
773 _ _ |a 10.1016/j.gim.2021.11.009
|g Vol. 24, no. 3, p. 576 - 585
|0 PERI:(DE-600)2063504-7
|n 3
|p 576 - 585
|t Genetics in medicine
|v 24
|y 2022
|x 1098-3600
856 4 _ |u https://juser.fz-juelich.de/record/910598/files/Hassanin_etal_Gen%20in%20Med_2022.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:910598
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)186755
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
|x 0
914 1 _ |y 2022
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-02-04
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-02-04
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-02-04
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2022-11-08
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b GENET MED : 2021
|d 2022-11-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-08
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2022-11-08
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b GENET MED : 2021
|d 2022-11-08
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
|k INM-1
|l Strukturelle und funktionelle Organisation des Gehirns
|x 0
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-1-20090406

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21