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Titel:

Network-guided search for genetic heterogeneity between gene pairs

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Gumpinger, Anja C; Rieck, Bastian; Grimm, Dominik G; International Headache Genetics Consortium; Borgwardt, Karsten
Nicht-TUM Koautoren:
ja
Kooperation:
international
Abstract:
Motivation Correlating genetic loci with a disease phenotype is a common approach to improve our understanding of the genetics underlying complex diseases. Standard analyses mostly ignore two aspects, namely genetic heterogeneity and interactions between loci. Genetic heterogeneity, the phenomenon that different genetic markers lead to the same phenotype, promises to increase statistical power by aggregating low-signal variants. Incorporating interactions between loci results in a computational...     »
Intellectual Contribution:
Contribution to Practice
Zeitschriftentitel:
Bioinformatics
Jahr:
2020
Volltext / DOI:
doi:10.1093/bioinformatics/btaa581
Verlag / Institution:
Oxford University Press (OUP)
E-ISSN:
1367-48031460-2059
Publikationsdatum:
23.06.2020
CC-Lizenz:
by, http://creativecommons.org/licenses/by/4.0
Urteilsbesprechung:
0
Peer reviewed:
Ja
commissioned:
commissioned by company
Technology:
Ja
Interdisziplinarität:
Nein
Leitbild:
;
Ethics und Sustainability:
Nein
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