ReviewFrontiers in endocrinology2021
Human Genetics to Identify Therapeutic Targets for NAFLD: Challenges and Opportunities.
Review in Frontiers in endocrinology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Identification of shared genetic architecture between non-alcoholic fatty liver disease and type 2 diabetes: A genome-wide analysis.Frontiers in endocrinology · 2023Pooled it
- Genome-wide interaction study with body mass index identifies CYP7A1 and GIPR as genetic modulators of metabolic dysfunction-associated steatotic liver disease.Clinical and molecular hepatology · 2025Article
- Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition.JHEP reports : innovation in hepatology · 2025Article
- Utility of the continuous spectrum formed by pathological states in characterizing disease properties.NPJ systems biology and applications · 2025Article
- Liver-specific mitochondrial amidoxime-reducing component 1 (Mtarc1) knockdown protects the liver from diet-induced MASH in multiple mouse models.Hepatology communications · 2024Article
- Exploring the role of genetic variations in NAFLD: implications for disease pathogenesis and precision medicine approaches.European journal of medical research · 2024Review
- GPAT1 Deficiency in Mice Modulates NASH Progression in a Model-Dependent Manner.Cellular and molecular gastroenterology and hepatology · 2024Article
- The genetic background shapes the susceptibility to mitochondrial dysfunction and NASH progression.The Journal of experimental medicine · 2023Article
- Non-alcoholic fatty liver disease, metabolic syndrome, and type 2 diabetes mellitus: where do we stand today?Archives of medical science : AMS · 2023Article
- Review
- Management of liver diseases: Current perspectives.World journal of gastroenterology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a continuous progression of pathophysiologic stages that is challenging to diagnose due to its inherent heterogeneity and poor standardization across a wide variety of diagnostic measures. NAFLD is heritable, and several loci have been robustly associated with various stages of disease. In the past few years, larger genetic association studies using new methodology have identified novel genes associated with NAFLD, some of which have shown therapeutic promise. This mini-review provides an overview of the heterogeneity in NAFLD phenotypes and diagnostic methods, discusses genetic associations in relation to the specific stages for which they were identified, and offers a perspective on the design of future genetic mapping studies to accelerate therapeutic target identification.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.