According to the dual model, outgroup members can be dehumanized by being thought to possess uniquely and characteristically human traits to a lesser extent than ingroup members. However, previous research on this topic has tended to investigate the attribution of human traits that are socially desirable in nature such as warmth, civility and rationality. As a result, it has not yet been possible to determine whether this form of dehumanization is distinct from intergroup preference and stereotyping. We first establish that participants associate undesirable (e.g., corrupt, jealous) as well as desirable (e.g., open-minded, generous) traits with humans. We then go on to show that participants tend to attribute desirable human traits more strongly to ingroup members but undesirable human traits more strongly to outgroup members. This pattern holds across three different intergroup contexts for which dehumanization effects have previously been reported: political opponents, immigrants and criminals. Taken together, these studies cast doubt on the claim that a trait-based account of representing others as 'less human' holds value in the study of intergroup bias.
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http://dx.doi.org/10.1016/j.cognition.2021.104682 | DOI Listing |
Sci Adv
January 2025
Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA.
Alzheimer's disease (AD) is the leading dementia among the elderly with complex origins. Despite extensive investigation into the AD-associated protein-coding genes, the involvement of noncoding RNAs (ncRNAs) and posttranscriptional modification (PTM) in AD pathogenesis remains unclear. Here, we comprehensively characterized the landscape of ncRNAs and PTM events in 1460 samples across six brain regions sourced from the Mount Sinai/JJ Peters VA Medical Center Brain Bank Study and Mayo cohorts, encompassing 33,321 long ncRNAs, 92,897 enhancer RNAs, 53,763 alternative polyadenylation events, and 900,221 A-to-I RNA editing events.
View Article and Find Full Text PDFCalcif Tissue Int
January 2025
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, People's Republic of China.
This study aims to identify novel loci associated with sarcopenia-related traits in UK Biobank (UKB) through multi-trait genome-wide analysis. To identify novel loci associated with sarcopenia, we integrated the genome-wide association studies (GWAS) of usual walking pace (UWP) and hand grip strength (HGS) to conduct a joint association study known as multi-trait analysis of GWAS (MTAG). We performed a transcriptome-wide association study (TWAS) to analyze the results of MTAG in relation to mRNA expression data for genes identified in skeletal muscle.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Washington University School of Medicine, Saint Louis, MO, USA.
Background: The recent European-ancestry based genome-wide association study (GWAS) of Alzheimer disease (AD) by Bellenguez2022 has identified 75 significant genetic loci, but only a few have been functionally mapped to effector gene level. Besides the large-scale RNA expression, protein and metabolite levels are key molecular traits bridging the genetic variants to AD risk, and thus we decided to integrate them into the genetic analysis to pinpoint key proteins and metabolites underlying AD etiology. Few studies have generated more than one layer of post-transcriptional phenotypes, limiting the scale of biological translation of disease modifying treatments.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
GloNeuro Academy, Noida, Uttar Pradesh, India.
Background: Obesity and ageing individually pose significant challenges to global public health, leading to preventable deaths. With an increasing geriatric population due to improved medical interventions, the intersection of these health issues becomes a critical concern worldwide. Both developed and developing countries grapple with the consequences of obesity, a major risk factor for various conditions like cardiovascular diseases, hypertension, type 2 diabetes, dementia, and neuropsychiatric diseases.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Korea University, Sejong, Sejong, Korea, Republic of (South).
Background: Amyloid-β accumulation is a pivotal factor in Alzheimer's disease (AD) progression. As treatment for AD has not been successful yet, the most effective approach lies in early diagnosis and the subsequent delay of disease progression. Hence, this study introduces a deep learning model to predict amyloid-β accumulation in the brain.
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