Clinical Utility of Genetic Variants in <i>PNPLA3</i> and <i>TM6SF2</i> to Predict Liver‐Related Events in Metabolic Dysfunction‐Associated Steatotic Liver Disease

The approach of measuring the FIB-4 index first followed by assessment of genetic polymorphisms efficiently detected patients at high risk of developing LRE. Therefore, this two-step strategy could be used as a screening method in large populations of patients with MASLD.

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Publication Details

Journal
Liver International
Published
2024-10-07
DOI
https://doi.org/10.1111/liv.16124
Citations
12
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
4.64

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article

Clinical Utility of Genetic Variants in PNPLA3 and TM6SF2 to Predict Liver‐Related Events in Metabolic Dysfunction‐Associated Steatotic Liver Disease

Atsushi Nakajima, Yasuhide Mitsumoto, Miwa Kawanaka, Takeshi Okanoue et al.
12 citations
Liver International
Liver Disease Diagnosis and Treatment
4.64
article

Clinical Utility of Genetic Variants in PNPLA3 and TM6SF2 to Predict Liver‐Related Events in Metabolic Dysfunction‐Associated Steatotic Liver Disease

Atsushi Nakajima, Yasuhide Mitsumoto, Miwa Kawanaka, Takeshi Okanoue, Toshihide Shima, Saiyu Tanaka, Michihiro Iwaki, Masato Yoneda, Yoshito Itoh, Yuya Seko, Kanji Yamaguchi, Hirokazu Takahashi
article en
12 citations

Abstract

The approach of measuring the FIB-4 index first followed by assessment of genetic polymorphisms efficiently detected patients at high risk of developing LRE. Therefore, this two-step strategy could be used as a screening method in large populations of patients with MASLD.

Liver InternationalVol. 45(4)
Saga University (JP), Kawasaki Medical School (JP), Kyoto Prefectural University of Medicine (JP), Nara City Hospital (JP), Saiseikai Suita Hospital (JP), Yokohama City University (JP)
Japan Agency for Medical Research and Development, Ministry of Education, Culture, Sports, Science and Technology
Openalex Percentile: Top 4%
Liver Disease Diagnosis and Treatment
4.64
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Clinical Utility of Genetic Variants in <i>PNPLA3</i> and <i>TM6SF2</i> to Predict Liver‐Related Events in Metabolic Dysfunction‐Associated Steatotic Liver Disease — Atsushi Nakajima, Yasuhide Mitsumoto, et al. · Liver International (2024) | TGRS Research Map | TGRS