The quest for the missing links in fatty liver genetics: Deep learning to the rescue!

Sami Qadri; Hannele Yki-Järvinen

doi:10.1016/j.xcrm.2022.100862

The quest for the missing links in fatty liver genetics: Deep learning to the rescue!

Tutkimustuotos: Artikkelijulkaisu › Pääkirjoitus › Tieteellinen

Abstrakti

Park, MacLean, et al. conduct an exome-wide association study of liver fat content in the Penn Medicine BioBank. By leveraging machine learning-assisted analysis of clinical CT scans to quantify steatosis, they uncover previously undescribed liver fat-associated genetic variants.

Alkuperäiskieli	englanti
Artikkeli	100862
Lehti	Cell Reports Medicine
Vuosikerta	3
Numero	12
Sivumäärä	2
ISSN	2666-3791
DOI - pysyväislinkit	https://doi.org/10.1016/j.xcrm.2022.100862
Tila	Julkaistu - 20 jouluk. 2022
OKM-julkaisutyyppi	B1 Kirjoitus tieteellisessä aikakauslehdessä

Tieteenalat

3121 Yleislääketiede, sisätaudit ja muut kliiniset lääketieteet
syväoppiminen
koneoppiminen
NAFLD
ei-alkoholiperäinen rasvamaksatauti
rasvamaksa
NASH
ei-alkoholiperäinen steatohepatiitti
fibroosi
maksafibroosi
kirroosi
tietokonetomografia
genominlaajuinen assosiaatiotutkimus
eksominlaajuinen assosiaatiotutkimus
genetiikka
steatoosi
biopankki
mutaatio
variantti
geneettinen polymorfismi

Pääsy asiakirjaan

10.1016/j.xcrm.2022.100862Lisenssi: CC BY-NC-ND

The quest for the missing links in fatty liver genetics: Deep learning to the rescueLopullinen julkaistu versio, 198 KBLisenssi: CC BY-NC-ND

Siteeraa tätä

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abstract = "Park, MacLean, et al. conduct an exome-wide association study of liver fat content in the Penn Medicine BioBank. By leveraging machine learning-assisted analysis of clinical CT scans to quantify steatosis, they uncover previously undescribed liver fat-associated genetic variants.",

keywords = "3121 General medicine, internal medicine and other clinical medicine, deep learning, machine learning, NAFLD, non-alcoholic fatty liver disease, fatty liver, NASH, non-alcoholic steatohepatitis, fibrosis, liver fibrosis, cirrhosis, computed tomography, genome-wide association study, exome-wide association study, genetics, disease-causing variant, genetic polymorphisms, steatosis, biobank, mutation, variant, syv{\"a}oppiminen, koneoppiminen, NAFLD, ei-alkoholiper{\"a}inen rasvamaksatauti, rasvamaksa, NASH, ei-alkoholiper{\"a}inen steatohepatiitti, fibroosi, maksafibroosi, kirroosi, tietokonetomografia, genominlaajuinen assosiaatiotutkimus, eksominlaajuinen assosiaatiotutkimus, genetiikka, steatoosi, biopankki, mutaatio, variantti, geneettinen polymorfismi",

author = "Sami Qadri and Hannele Yki-J{\"a}rvinen",

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AU - Qadri, Sami

AU - Yki-Järvinen, Hannele

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KW - deep learning

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KW - NAFLD

KW - non-alcoholic fatty liver disease

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KW - NASH

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KW - fibrosis

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KW - cirrhosis

KW - computed tomography

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DO - 10.1016/j.xcrm.2022.100862

M3 - Editorial

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