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Copyright of Journal of Applied Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Fertility treatment enables involuntary childless people to have genetically related children, something that, for many, is a valuable life project. In this paper, I respond to two sets of objections that have been raised against expanding state‐funded fertility treatment provision for existing treatments, such as in vitro fertilisation (IVF), and against funding new treatments, such as uterine transplantation (UTx). Following McTernan, I refer to the first set of objections as the 'one good among many' objection. It purports that it is unjustifiable for the state to prioritise the funding of the life project of becoming a parent through fertility treatment provision over the funding of other life projects that people might have. Following Lotz, I refer to the second set of objections as the 'norm‐legitimation' objection. It maintains that the provision of costly forms of fertility treatment, such as UTx, would legitimise problematic social norms concerning genetic relatedness, reproduction and parenting, and that states should not engage in such a legitimation. In response to these objections, I defend the view that (reproductive) preferences ought to be taken more seriously when discussing fertility treatment provision and parental projects, and that not doing so can be costly, especially for women. The approach defended in this paper seeks to avoid disregarding and policing preferences and to reconcile their fulfilment with political projects aimed at improving the material and social conditions of sub‐fertile people: people who, for social or biological reasons (or an intersection of the two), are unable to reproduce unassisted. [ABSTRACT FROM AUTHOR]

The first section of this paper sets the record straight regarding many of Debouwere's (2024, Review of Education, 12, e3445) specific criticisms. The second section discusses the magnitude of the SES‐achievement relationship, specifically Debouwere's (2024) contention that the correlation is strong around 0.5 or 0.6 compared to observed correlations mostly between 0.2 and 0.3. The third section deals with five issues that Debouwere (2024) raises in his paper: (1) the stability of SES vis‐à‐vis cognitive ability; (2) the accuracy of children's reports of parents' socioeconomic characteristics; (3) whether teachers discriminate by students' SES; (4) the importance of cognitive ability for educational differentiation (i.e., tracking and streaming); and (5) SES effects on student achievement, controlling for prior achievement. The fourth section discusses the role of genetics in student achievement. Meta‐analyses and other studies indicate that about 50%–70% of the variance in student achievement is attributable to genetics (i.e., the heritability). The high heritability of student achievement accounts for its high stability, its strong correlations with cognitive ability and the weak effects of SES, net of prior achievement or cognitive ability. [ABSTRACT FROM AUTHOR]

The current set of papers in this special issue capture the range of viewpoints, scientific approaches, and populations needed to illuminate and tackle the issues of school achievement among vulnerable learners. This includes providing a framework for researchers to work from relevant policy findings, and literature reviews to small scale studies. The manuscripts also traverse different aspects of scientific inquiry – from data reported by federal and state programs, thus providing a "bird's eye view" of findings, to more granular neurobiological approaches. Across all papers is the clear theme of needing to shift from where we have been in order to establish a path forward for where we need to go to account for learners that have been relatively neglected in scientific studies. To break down barriers of inequity and increase our understanding of causes and consequences of vulnerable learners, there is a need to re‐think how we establish policies and allocate funds, as well as broadening our lens as we conduct scientific studies. Each piece in this special issue calls for the need to better understand these issues that vulnerable learners face to address inequities in our educational ecosystems. Together they provide a rich set of insights that have significant implications for science and practice. [ABSTRACT FROM AUTHOR]

This Special Issue of Human Brain Mapping is dedicated to a 10‐year anniversary of the Enhancing NeuroImaging Genetics through Meta‐Analysis (ENIGMA) Consortium. It reports updates from a broad range of international neuroimaging projects that pool data from around the world to answer fundamental questions in neuroscience. Since ENIGMA was formed in December 2009, the initiative grew into a worldwide effort with over 2,000 participating scientists from 45 countries, and over 50 working groups leading large‐scale studies of human brain disorders. Over the last decade, many lessons were learned on how best to pool brain data from diverse sources. Working groups were created to develop methods to analyze worldwide data from anatomical and diffusion magnetic resonance imaging (MRI), resting state and task‐based functional MRI, electroencephalography (EEG), magnetoencephalography (MEG), and magnetic resonance spectroscopy (MRS). The quest to understand genetic effects on human brain development and disease also led to analyses of brain scans on an unprecedented scale. Genetic roadmaps of the human cortex were created by researchers worldwide who collaborated to perform statistically well‐powered analyses of common and rare genetic variants on brain measures and rates of brain development and aging. Here, we summarize the 31 papers in this Special Issue, covering: (a) technical approaches to harmonize analysis of different types of brain imaging data, (b) reviews of the last decade of work by several of ENIGMA's clinical and technical working groups, and (c) new empirical papers reporting large‐scale international brain mapping analyses in patients with substance use disorders, schizophrenia, bipolar disorders, major depression, posttraumatic stress disorder, obsessive compulsive disorder, epilepsy, and stroke. [ABSTRACT FROM AUTHOR]

In May 2015, my mother was diagnosed with stage IV pancreatic cancer and passed away three months later at the age of 78. Two years later, my older brother, only 53 at the time, was also diagnosed with pancreatic cancer. He passed away 15 months later. With this news, we engaged in the genetic retelling of family histories and connections, drawing genealogical maps on pieces of paper that reminded me of teaching Anthro 101 and starkly reimagined which relatives 'mattered' in our lives. As an anthropologist interested in subject formation and spatiality informed by a Foucauldian analytic, I have been propelled into exploring what it means to become 'high risk' (as a biologically related daughter and sister), subject to new regimes of surveillance and self‐management espoused by the field of precision medicine. This paper addresses this experience and thus contributes to questions of subject formation within the already‐existing truth‐making practices of genetic probability and personalized risk management. [ABSTRACT FROM AUTHOR]

Background: Sleep problems are regularly reported in people with intellectual disabilities. Recent years have seen a substantial increase in studies comparing sleep in people with intellectual disabilities to control participants, with an increase in the use of validated, objective measures. Emerging patterns of differences in sleep time and sleep quality warrant pooled investigation. Methods: A systematic search was conducted across three databases (Ovid Embase, PsycInfo and Medline) and returned all papers comparing sleep in people with intellectual disabilities to a control group, published since the last meta‐analysis on the topic. A quality framework was employed to rate the risk of bias across studies. Separate meta‐analyses of sleep duration and sleep quality were conducted. Subgrouping compared findings for those studies with participants with genetic syndromes or neurodevelopmental conditions and those with heterogeneous intellectual disability. Results: Thirteen new papers were identified and combined with those from the previous meta‐analysis to provide 34 papers in total. Quality of studies was generally rated highly, though sampling provided risk of bias and adaptive functioning was rarely measured. People with intellectual disability associated with genetic syndromes or neurodevelopmental conditions sleep for shorter time periods (standardised mean difference =.26) and experience worse sleep quality (standardised mean difference =.68) than their peers. People with intellectual disability of heterogeneous origin show no difference in sleep time but have poorer sleep quality. There was some evidence that age moderated these effects. Conclusions: People with intellectual disability have poorer sleep than those without. Subtle patterns suggest that aetiology of intellectual disability moderates the topography of these difficulties, with further work needed to differentiate common and distinct mechanisms across groups. [ABSTRACT FROM AUTHOR]

The advancement and availability of innovative animal biotelemetry and genomic technologies are improving our understanding of how the movements of individuals influence gene flow within and between populations and ultimately drive evolutionary and ecological processes. There is a growing body of work that is integrating what were once disparate fields of biology, and here, we reviewed the published literature up until January 2023 (139 papers) to better understand the drivers of this research and how it is improving our knowledge of animal biology. The review showed that the predominant drivers for this research were as follows: (1) understanding how individual‐based movements affect animal populations, (2) analyzing the relationship between genetic relatedness and social structuring, and (3) studying how the landscape affects the flow of genes, and how this is impacted by environmental change. However, there was a divergence between taxa as to the most prevalent research aim and the methodologies applied. We also found that after 2010 there was an increase in studies that integrated the two data types using innovative statistical techniques instead of analyzing the data independently using traditional statistics from the respective fields. This new approach greatly improved our understanding of the link between the individual, the population, and the environment and is being used to better conserve and manage species. We discuss the challenges and limitations, as well as the potential for growth and diversification of this research approach. The paper provides a guide for researchers who wish to consider applying these disparate disciplines and advance the field. [ABSTRACT FROM AUTHOR]

Internationally, there is considerable inconsistency in the recognition and regulation of children's genetic connections outside the family. In the context of gamete and embryo donation, challenges for regulation seem endless. In this paper, I review some of the paths that have been taken to manage children' being closely genetically related to people outside their families. I do so against the background of recognising the importance of children's interests as moral status holders. I look at recent qualitative research involving donor‐conceived people and borrow their own words to make sense of a purported interest to know (of) their close genetic ties. I also review ways in which gamete donation may have facilitated new kinds of kinship, which are at the same time genetic and chosen. In short, in this paper, I explore what meaning there could be in genetic connections that is not about parenthood. Further, I argue that the focus on parenthood in previous work in this area may be detrimental to appreciating some of the goods that can be derived from close genetic connections. [ABSTRACT FROM AUTHOR]

Genetic relatedness figures heavily in contemporary ethical debates on egg freezing, although the arguments lack empirical‐based evidence. Rather than adding another theoretical view on the moral relevance of genetic connections, this paper instead proposes an empirically grounded perspective based on two independent qualitative interview‐based studies conducted in Belgium and France. Three themes emerge from our empirical data: (1) prioritizing family building; (2) centering the gestational experience of motherhood; and (3) identifying the complexities and limitations of adoption. These themes suggest that the relationship between egg freezing, genetics, biological motherhood, and adoption is highly complex and less straightforward than what is often assumed in the egg freezing debate. Our study provides more detailed insights into women's ambivalent experiences regarding those reproductive options. We discuss the ethical implications of our empirical findings and hold that pursuing genetic desire is not necessarily the main moral reason why women freeze their eggs. [ABSTRACT FROM AUTHOR]

Recent developments in genomic technology, especially those enabling gene editing, promise to put an end to hitherto intractable medical problems and to usher us into the age of personalized medicine. These technologies, however, raise a number of serious ethical challenges. Given the global impact of this technology, recent international regulations emphasize the need for intercultural dialogue on these ethical issues. This paper concentrates on Islamic perspectives on human genetic modification. It examines Islamic juristic discourses on the issue of genetic modification and highlights the different layers within these discourses. The paper identifies the main positions regarding human genetic modification along with the underlying arguments for each of them. In general, these positions are articulated in light of the nature as well as the intended objectives of the different procedures. The paper devotes special attention to the treatment‐enhancement distinction and argues that within Islamic discourses this distinction is quite nuanced. The paper points out important substantive and methodological gaps and emphasizes the evolving nature of Islamic discourses on this issue. [ABSTRACT FROM AUTHOR]

This paper uses zone electrophoresis, one of the most frequently used tools in molecular biology, to explore two ideas derived from Hans-Jörg Rheinberger's reflections on experiments. First, the constraining role played by technical objects--instrumentation and material conditions--in the production of knowledge or epistemic things. Second, the production of interconnected experimental systems by such technical objects, which results in the unexpected entanglement of research fields and experimental cultures. By the beginning of the 1960s, the inception of zone electrophoresis in laboratories around the world transformed--some say, revolutionized--the study of proteins. Even today, electrophoresis continues to open research venues and questions in biomedicine, molecular biology, human genetics, and in the field of molecular evolution. In my essay, I seek to look at the interconnected lives of zone electrophoresis and address the broader social, and even global context, in which this apparently humble technique became a salient tool in the production of biological knowledge. In so doing, I aim to take the past and present of the history and historiography of experimental systems to the future, where experiments and technologies are interrogated as they are used in different geographies and contexts, including contexts of poverty. [ABSTRACT FROM AUTHOR]

Since Washburn's New Physical Anthropology, researchers have sought to understand the complexities of morphological evolution among anatomical regions in human and non‐human primates. Researchers continue, however, to preferentially use comparative and functional approaches to examine complex traits, but these methods cannot address questions about evolutionary process and often conflate function with fitness. Moreover, researchers also tend to examine anatomical elements in isolation, which implicitly assumes independent evolution among different body regions. In this paper, we argue that questions asked in primate evolution are best examined using multiple anatomical regions subjected to model‐bound methods built from an understanding of evolutionary quantitative genetics. A nascent but expanding number of studies over the last two decades use this approach, examining morphological integration, evolvability, and selection modeling. To help readers learn how to use these methods, we review fundamentals of evolutionary processes within a quantitative genetic framework, explore the importance of neutral evolutionary theory, and explain the basics of evolutionary quantitative genetics, namely the calculation of evolutionary potential for multiple traits in response to selection. Leveraging these methods, we demonstrate their use to understand non‐independence in possible evolutionary responses across the limbs, limb girdles, and basicranium of humans. Our results show that model‐bound quantitative genetic methods can reveal unexpected genetic covariances among traits that create a novel but measurable understanding of evolutionary complexity among multiple traits. We advocate for evolutionary quantitative genetic methods to be a standard whenever appropriate to keep studies of primate morphological evolution relevant for the next seventy years and beyond. [ABSTRACT FROM AUTHOR]

These papers cover established and emerging viral tools for functional genomics in maize, a genomic study of maize resistance genes, and the identification and detailed characterization of maize genes involved in pathogen resistance and microbial genes involved in pathogenicity. The first identification of a plant disease resistance gene, I Hm1 i (Johal & Briggs, [12]), and of a plant disease susceptibility gene, I T-urf13 i (Dewey et al., [7]), occurred in maize. Thatcher, Jung et al. ([35], this issue) took advantage of the recent availability of a set of diverse maize genome sequences to characterize the diversity of NLR genes in maize as well as the maize relative I Zea luxurians i . Maize ( I Zea mays i ) is an annual grass belonging to the tribe Andropogoneae of the family Gramineae. [Extracted from the article]

Even modest improvements in the probability of success of selecting drug targets which are ultimately approved can substantially reduce the costs of research and development. Drug targets with human genetic evidence of disease association are twice as likely to lead to approved drugs. A key enabler of identifying and validating these genetically validated targets is access to association results from genome‐wide genotyping, whole‐exome sequencing, and whole‐genome sequencing studies with observable traits (often diseases) across large numbers of individuals. Today, linkage between genotype and real‐world data (RWD) provides significant opportunities to not only increase the statistical power of genome‐wide association studies by ascertaining additional cases for diseases of interest, but also to improve diversity and coverage of association studies across the disease phenome. As RWD‐genetics linked resources continue to grow in diversity of participants, breadth of data captured, length of observation, and number of participants, there is a greater need to leverage the experience of RWD experts, clinicians, and highly experienced geneticists together to understand which lessons and frameworks from general research using RWD sources are relevant to improve genetics‐driven drug discovery and development. This paper describes new challenges and opportunities for phenotypes enabled by diverse RWD sources, considerations in the use of RWD phenotypes for disease gene identification across the disease phenome, and challenges and opportunities in leveraging RWD phenotypes in target validation. The paper concludes with views on the future directions for phenotype development using RWD, and key questions requiring further research and development to advance this nascent field. [ABSTRACT FROM AUTHOR]

This article represents the perspective of one retired, academic forage breeder and cultivar developer after 50 years of working experience. Developing cultivars that help farmers within pastoral agriculture is the main goal, a system where livestock is the consumer. International Grassland Congress proceedings, as well as the general literature, are historical guides for the state of forage breeding. Efficiency was achieved through technologies; better equipment for planting and harvesting; and advances in computer computation and communication. Biotechnology achievements were fitful and continue to evolve. Cultivar performance mean‐reversion, cost to the program, and what the farmer seed buyer was willing to pay are important considerations for applying any technology, especially biotechnologies. Biotech promises were too optimistic. This was due, in part, to a lack of understanding that traditional phenotypic/genotypic field selection programs operate in a complex way with multiple species and several traits screened simultaneously at a modest cost. The majority of current forage cultivars are from field‐based selection. Industry participation at scientific conferences declined over time, with less sharing of information the result. Cultivar developers will continue using basic field selection methods but should explore applying any technology; just be clever on when, how, and with whom to use them. Practical advice and experiences are also presented and discussed. [ABSTRACT FROM AUTHOR]

Background: Alzheimer's disease (AD), the most prevalent form of dementia, affects 6.5 million Americans and over 50 million people globally. Clinical, genetic, and phenotypic studies of dementia provide some insights of the observed progressive neurodegenerative processes, however, the mechanisms underlying AD onset remain enigmatic. Aims: This paper examines late-onset dementia-related cognitive impairment utilizing neuroimaging-genetics biomarker associations. Materials and Methods: The participants, ages 65–85, included 266 healthy controls (HC), 572 volunteers with mild cognitive impairment (MCI), and 188 Alzheimer's disease (AD) patients. Genotype dosage data for AD-associated single nucleotide polymorphisms (SNPs) were extracted from the imputed ADNI genetics archive using sample-major additive coding. Such 29 SNPs were selected, representing a subset of independent SNPs reported to be highly associated with AD in a recent AD meta GWAS study by Jansen and colleagues. Results: We identified the significant correlations between the 29 genomic markers (GMs) and the 200 neuroimaging markers (NIMs). The odds ratios and relative risks for AD and MCI (relative to HC) were predicted using multinomial linear models. Discussion: In the HC and MCI cohorts, mainly cortical thickness measures were associated with GMs, whereas the AD cohort exhibited different GM-NIM relations. Network patterns within the HC and AD groups were distinct in cortical thickness, volume, and proportion of White to Gray Matter (pct), but not in the MCI cohort Multinomial linear models of clinical diagnosis showed precisely the specific NIMs and GMs that were most impactful in discriminating between AD and HC, and between MCI and HC. Conclusion: This study suggests that advanced analytics provide mechanisms for exploring the interrelations between morphometric indicators and GMs. The findings may facilitate further clinical investigations of phenoty pic associations that support deep systematic understanding of AD pathogenesis. [ABSTRACT FROM AUTHOR]

Objectives: The overarching hypothesis of the present paper is that ethnically and/or genetically diverse human populations may exhibit similarity in correlations between various aspects of human phenotypes due to the morphological integration process during the ontogenetic stages. To test this we investigated whether an association between craniofacial (CF) features and body composition (BC) variations is present in humans and the extent to which such possible associations are comparable in different populations. Furthermore, the paper examines the contribution of common genetic (additive) and shared familial environmental factors in assessing the correlation between CF and BC characteristics in humans. Materials and Methods: Two pedigree‐based samples were collected from two distinct populations, including India (Santhal) and Europe (Chuvash). Canonical correlation analysis was used to compare the association between CF and BC characteristics in the two studied samples. The contribution of genetic and familial environmental factors on the correlation between CF and BC features was analyzed through variance decomposition analysis by implementing the Mendelian Analysis package (MAN). Results: Our study suggests that CF morphology is significantly (p < 0.001) associated with BC variation in both samples. CF characteristics and BC phenotypes revealed a consistent trend in both samples where condensed and broad CF morphology was significantly associated with increased fat accumulation, with slight variations between the Santhal and Chuvash samples. Despite the variations observed between the samples, the heritability estimates were impressively equivalent for traits like total facial height (55.6%Santhalvs.56.1%Chuvash) and nasal index (42.8%Santhalvs. 43.3%Chuvash). Discussion: The genetic contribution of CF morphology appeared to be extensive and the contribution of common genetic and shared family environmental correlations between CF and BC measures were suggestively substantial. Accordingly, these correlations were consistently observed across ethnically diverse populations, despite drastic morphological differences between the samples under comparison. [ABSTRACT FROM AUTHOR]

Gene therapy uses genetic modification of cells to produce a therapeutic effect. Defective or missing genes can be repaired or replaced, or gene expression can be modified using a variety of technologies. Repair of defective genes can be achieved using specialized gene editing tools. Gene addition promotes gene expression by introducing synthetic copies of genes of interest (transgenes) into cells where they are transcribed and translated into therapeutic proteins. Protein production can also be modified using therapies that regulate gene expression. Gene therapy is currently prohibited in both human and equine athletes because of the potential to induce production of performance‐enhancing proteins in the athlete's body, also referred to as "gene doping." Detection of gene doping is challenging and necessitates development of creative, novel analytical methods for doping control. Methods for detection of gene doping must be specific to and will vary depending on the type of gene therapy. The purpose of this paper is to present the results of a systematic review of gene editing, gene therapy, and detection of gene doping in horses. Based on the published literature, gene therapy has been administered to horses in a large number of experimental studies and a smaller number of clinical cases. Detection of gene therapy is possible using a combination of PCR and sequencing technologies. This summary can provide a basis for discussion of appropriate and inappropriate uses for gene therapy in horses by the veterinary community and guide expansion of methods to detect inappropriate uses by the regulatory community. [ABSTRACT FROM AUTHOR]

The process of interpreting genetic variants, in which experts use all available evidence to determine whether an identified variant is associated with a current or future disease, is both scientific and nevertheless subjective. In this paper, we summarize the existing evidence that any given variant could be reclassified and that such a reclassification could lead to harm. Furthermore, the racial gap in genetic databases could lead to a higher likelihood of harm for non‐white patients. We also review recent legal analyses indicating it is unlikely that an individual who sues for restitution would be successful, especially in the absence of evidence of lab negligence. We then propose a compensation program for medical genetic tests to ensure that individuals who experience demonstrable harm due to a variant reclassification can be made whole financially. We conclude by discussing outstanding questions that must be answered for such a program to be feasible. [ABSTRACT FROM AUTHOR]

The synthesis of quantitative genetics and molecular genetics is transforming research in the behavioural sciences. The ability to measure inherited DNA differences directly has led to polygenic scores and to new methods to estimate heritability and genetic correlations. This issue provides examples of how these advances can be appllied to research on gene‐environment interplay in developmental psychopathology. [ABSTRACT FROM AUTHOR]

The increasing availability of genotype data in longitudinal population‐ and family‐based samples provides opportunities for using polygenic scores (PGS) to study developmental questions in child and adolescent psychology and psychiatry. Here, we aim to provide a comprehensive overview of how PGS can be generated and implemented in developmental psycho(patho)logy, with a focus on longitudinal designs. As such, the paper is organized into three parts: First, we provide a formal definition of polygenic scores and related concepts, focusing on assumptions and limitations. Second, we give a general overview of the methods used to compute polygenic scores, ranging from the classic approach to more advanced methods. We include recommendations and reference resources available to researchers aiming to conduct PGS analyses. Finally, we focus on the practical applications of PGS in the analysis of longitudinal data. We describe how PGS have been used to research developmental outcomes, and how they can be applied to longitudinal data to address developmental questions. [ABSTRACT FROM AUTHOR]

Infectious bronchitis virus (IBV) is a member of the family Coronaviridae, together with viruses such as SARS‐CoV, MERS‐CoV and SARS‐CoV‐2 (the causative agent of the COVID‐19 global pandemic). In this family of viruses, interspecies transmission has been reported, so understanding their pathobiology could lead to a better understanding of the emergence of new serotypes. IBV possesses a single‐stranded, non‐segmented RNA genome about 27.6 kb in length that encodes several non‐structural and structural proteins. Most functions of these proteins have been confirmed in IBV, but some other proposed functions have been based on research conducted on other members of the family Coronaviridae. IBV has variable tissue tropism depending on the strain, and can affect the respiratory, reproductive, or urinary tracts; however, IBV can also replicate in other organs. Additionally, the pathogenicity of IBV is also variable, with some strains causing only mild clinical signs, while infection with others results in high mortality rates in chickens. This paper extensively and comprehensibly reviews general aspects of coronaviruses and, more specifically, IBV, with emphasis on protein functions and pathogenesis. The pathogenicity of the Australian strains of IBV is also reviewed, describing the variability between the different groups of strains, from the classical to the novel and recombinant strains. Reverse genetic systems, cloning and cell culture growth techniques applicable to IBV are also reviewed. [ABSTRACT FROM AUTHOR]

Hans-Jörg Rheinberger constructed his historical epistemology of epistemic things by analyzing experimental practices in molecular biology during the 1970s and 80s. With genetic sequencing and multi-omics approaches, data has become a new resource in the life sciences, questioning the applicability of his concept of experimental system. By historicizing Rheinberger's epistemology, the paper focuses on its relatedness to Ludwik Fleck's notion of an aviso of resistance and points to a gradual shift in Rheinberger's emphasis, moving from an initial focus on writing and its differentiality to work on materials, preparations, and representations. By anchoring visualization in these material practices, Rheinberger also sheds new light on the changing conditions of experimentation in the life sciences due to big data, where visualization emphasizes patterns and correlations rather than substrates. [ABSTRACT FROM AUTHOR]

Genetic and early environmental differences including early health habits associate with future health. To provide insight on the causal nature of these associations, monozygotic (MZ) twin pairs discordant for health habits provide an interesting natural experiment. Twin pairs discordant for leisure‐time physical activity (LTPA) in early adult life is thus a powerful study design to investigate the associations between long‐term LTPA and indicators of health and wellbeing. We have identified 17 LTPA discordant twin pairs from two Finnish twin cohorts and summarize key findings of these studies in this paper. The carefully characterized rare long‐term LTPA discordant MZ twin pairs have participated in multi‐dimensional clinical examinations. Key findings highlight that compared with less active twins in such MZ twin pairs, the twins with higher long‐term LTPA have higher physical fitness, reduced body fat, reduced visceral fat, reduced liver fat, increased lumen diameters of conduit arteries to the lower limbs, increased bone mineral density in loaded bone areas, and an increased number of large high‐density lipoprotein particles. The findings increase our understanding on the possible site‐specific and system‐level effects of long‐term LTPA. [ABSTRACT FROM AUTHOR]

Copyright of International Journal of Cosmetic Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Obesity is a complex and multifactorial condition that poses significant health risks. Recent advancements in our understanding of obesity have highlighted the heterogeneity within this disorder. Identifying distinct subtypes of obesity is crucial for personalised treatment and intervention strategies. This review paper aims to examine studies that have utilised clinical biomarkers and genetic data to identify clusters or subtypes of obesity. The findings of these studies may provide valuable insights into the underlying mechanisms and potential targeted approaches for managing obesity‐related health issues such as type 2 diabetes. [ABSTRACT FROM AUTHOR]

During the 1970s, ethologists at the German Max Planck Institute for Behavioral Physiology in Seewiesen started a series of research projects at several regional kindergartens in search of natural predispositions in human behavior. This so‐called "Kindergarten Project" became one of the pillars of research activity at the newly founded Forschungsstelle für Humanethologie (Research Center for Human Ethology) where Irenäus Eibl‐Eibesfeldt and a team of researchers set out to explore new fields of research for the discipline of ethology. Taking the research project conducted by biologist Barbara Hold on ranking behavior among kindergarten children as a vantage point, this paper explores the shift in ethology from animal to human behavior which occurred during the 1960s and 1970s. It analyzes how human ethologists coped with the methodological, conceptual, and ethico‐political challenges which arose from crossing the human‐animal divide. This article thus sheds light on the hitherto unwritten history of human ethology as it was developed at the MPI since the late 1960s. [ABSTRACT FROM AUTHOR]

Congenital hypothyroidism (CH) is the most common neonatal endocrine disorder and one of the most common preventable causes of intellectual disability in the world. CH may be due to developmental or functional thyroid defects (primary or peripheral CH) or be hypothalamic‐pituitary in origin (central CH). In most cases, primary CH is caused by a developmental malformation of the gland (thyroid dysgenesis, TD) or by a defect in thyroid hormones synthesis (dyshormonogenesis, DH). TD represents about 65% of CH and a genetic cause is currently identified in fewer than 5% of patients. The remaining 35% are cases of DH and are explained with certainty at the molecular level in more than 50% of cases. The etiology of CH is mostly unknown and may include contributions from individual and environmental factors. In recent years, the detailed phenotypic description of patients, high‐throughput sequencing technologies, and the use of animal models have made it possible to discover new genes involved in the development or function of the thyroid gland. This paper reviews all the genetic causes of CH. The modes by which CH is transmitted will also be discussed, including a new oligogenic model. CH is no longer simply a dominant disease for cases of CH due to TD and recessive for cases of CH due to DH, but a far more complex disorder. [ABSTRACT FROM AUTHOR]

In this paper I argue that current law and policy governing germline genetic modification are overly broad and in fact prohibit medical interventions normally considered unobjectionable. The root of the problem lies in the fact law and policy tend to espouse a near categorical ban on medical interventions that alter germline DNA. However, if we pay close attention to the biological mechanisms at play we see that many standard medical interventions result in alterations to DNA that can be transmitted to future generations. The correct focus of policy and regulation thus ought to be determining which kinds of transmissible genetic modifications ought to be permitted, and not whether they should be permitted at all. Given that the scientific classification of biological structures involved in the inheritance of traits is unlikely to be in itself ethically significant, ethicists ought to develop a definition of 'gene' fit for ethical purposes. [ABSTRACT FROM AUTHOR]

Summary: Our understanding of canine coat colour genetics and the associated health implications is developing rapidly. To date, there are 15 genes with known roles in canine coat colour phenotypes. Many coat phenotypes result from complex and/or epistatic genetic interactions among variants within and between loci, some of which remain unidentified. Some genes involved in canine pigmentation have been linked to aural, visual and neurological impairments. Consequently, coat pigmentation in the domestic dog retains considerable ethical and economic interest. In this paper we discuss coat colour phenotypes in the domestic dog, the genes and variants responsible for these phenotypes and any proven coat colour‐associated health effects. [ABSTRACT FROM AUTHOR]

Anxiety disorders are highly prevalent and disabling but seem particularly tractable to investigation with translational neuroscience methodologies. Neuroimaging has informed our understanding of the neurobiology of anxiety disorders, but research has been limited by small sample sizes and low statistical power, as well as heterogenous imaging methodology. The ENIGMA‐Anxiety Working Group has brought together researchers from around the world, in a harmonized and coordinated effort to address these challenges and generate more robust and reproducible findings. This paper elaborates on the concepts and methods informing the work of the working group to date, and describes the initial approach of the four subgroups studying generalized anxiety disorder, panic disorder, social anxiety disorder, and specific phobia. At present, the ENIGMA‐Anxiety database contains information about more than 100 unique samples, from 16 countries and 59 institutes. Future directions include examining additional imaging modalities, integrating imaging and genetic data, and collaborating with other ENIGMA working groups. The ENIGMA consortium creates synergy at the intersection of global mental health and clinical neuroscience, and the ENIGMA‐Anxiety Working Group extends the promise of this approach to neuroimaging research on anxiety disorders. [ABSTRACT FROM AUTHOR]

Genetic epidemiology is a rapidly advancing field due to the recent availability of large amounts of omics data. In recent years, it has become possible to obtain omics information at the single‐cell level, so genetic epidemiological models need to be updated to integrate with single‐cell expression data. In this perspective paper, we propose a cell population‐based framework for genetic epidemiology in the single‐cell era. In this framework, genetic diversity influences phenotypic diversity through the diversity of cell population profiles, which are defined as high‐dimensional probability distributions of the state spaces of biomolecules of each omics layer. We discuss how biomolecular experimental measurement data can capture the different properties of this distribution. In particular, single‐cell data constitute a sample from this population distribution where only some coordinate values are observable. From a data analysis standpoint, we introduce methodology for feature extraction from cell population profiles. Finally, we discuss how this framework can be applied not only to genetic epidemiology but also to systems biology. [ABSTRACT FROM AUTHOR]

Background: Since the 1990s, increasing research has been devoted to the identification of biomarkers for autism to help attain more objective diagnosis; enable early prediction of prognosis; and guide individualized intervention options. Early studies focused on the identification of genetic variants associated with autism, but more recently, research has expanded to investigate neurodevelopmental markers. While ethicists have extensively discussed issues around advances in autism genomics, much less ethical scrutiny has focused on research on early neurodevelopment and on the interventions being developed as a result. Objectives: We summarize the current state of the science on the identification of early markers for autism and its potential clinical applications, before providing an overview of the ethical issues arising from increasing understanding of children's neurodevelopment in very early life. Results: Advances in the understanding of brain and behavioral trajectories preceding later autism diagnosis raise ethical concerns around three themes: (a) New models for understanding autism; (b) Risks and benefits of early identification and intervention; and (c) Communication of early concerns to families. These ethical issues should be further investigated in research conducted in partnership with autistic people and their families. Conclusions: This paper highlights the need for ethical scrutiny of early neurodevelopmental research in autism. Scrutiny requires expertise and methods from the basic sciences and bioethics, as well as constructive collaborations among autistic people, their parents, and autism researchers to anticipate early interventions that serve the community's interests and accommodate the varied experiences and preferences of people on the spectrum and their families. [ABSTRACT FROM AUTHOR]

This paper explores ways in which genetic risk foregrounds forms of responsibility while dealing with reproduction. We analyzed individual and family semi‐structured interviews (n = 35) with people at‐risk for or affected by transthyretin‐related familial amyloid polyneuropathy (TTR‐FAP) and Machado‐Joseph disease (MJD), which are late‐onset neurological diseases. Although generally considered as rare diseases, some areas in Portugal present the world's highest frequency for MJD and TTR‐FAP. Thematic analysis of the data revealed that participants drew on various – sometimes ambivalent and competing – understandings of their genetic risk and their wish to have children. Some participants perceived the avoidance of genetic risk to be responsible behavior, while, for others, responsibility entailed accepting risks because they prioritized values such as parenthood, family relationships and the value of life, above any question of genetic disease. Some participants shared accounts that were fraught with ambivalence, repentance and guilt, especially when children were born before participants knew of their own or their partner's risk. Participants' accounts also showed they make continued efforts to see themselves as responsible persons and to appear responsible in the eyes of others. We discuss findings in the context of participants' negotiation between genetic risk and their sense of responsibility toward themselves and others; we conclude that "genetic responsibility" is present not only in accounts of those who chose not to have children but also in those who make an informed decision to have at‐risk children. [ABSTRACT FROM AUTHOR]

Students often have no exposure to the incredible amount of genomic and proteomic data that is freely and easily accessible online. Becoming familiar with these resources, and seeing how they could be applied to a specific research question, is a prerequisite for students to apply them to their own scientific development. Many students have to "see it" and "do it" before they "get it." This paper describes a teaching laboratory for undergraduate Genetics students that combines exploration of several publicly available databases with some simple bioinformatic exercises and "'real" live experience in a wet lab exercise. The goal is to teach skills in applying genomic data to a real scientific question. In this exercise, students identify a target protein after exploring several protein and signal transduction databases, such as the Kyoto Encyclopedia of Genes and Genomes database. They then search for the encoding RNA in a newly available sea star mature egg transcriptome database and for the DNA in an existing sea star genome database. The students design primers against specific regions or domains in their target RNA and amplify these by reverse transcription PCR against RNA purified from fresh sea star eggs. The PCR reactions are analyzed by agarose gel electrophoresis. It is hoped that the combination of the computational biology exercises with the real lab work will excite the students and stimulate them to explore this exciting new biology further. [ABSTRACT FROM AUTHOR]

Depression is one of the most common mental disorders worldwide. The genetic factors are linked to depression and anti-depressant outcomes. Traditional Persian medicine (TPM) manuscripts have provided various anti-depressant remedies, which may be useful in depression management. This review has studied the bioactive compounds, underlying mechanisms, and treatment outcomes of the medicinal plants traditionally mentioned effective for depression from "The storehouse of medicament" (a famous pharmacopeia of TPM) to merge those with the novel genetics science and serve new scope in depression prevention and management. This review paper has been conducted in two sections: (1) Collecting medicinal plants and their bioactive components from "The storehouse of medicament," "Physician's Desk Reference (PDR) for Herbal Medicines," and "Google scholar" database. (2) The critical key factors and genes in depression pathophysiology, prevention, and treatment were clarified. Subsequently, the association between bioactive components' underlying mechanism and depression treatment outcomes via considering polymorphisms in related genes was derived. Taken together, α-Mangostin, β-carotene, β-pinene, apigenin, caffeic acid, catechin, chlorogenic acid, citral, ellagic acid, esculetin, ferulic acid, gallic acid, gentiopicroside, hyperoside, kaempferol, limonene, linalool, lycopene, naringin, protocatechuic acid, quercetin, resveratrol, rosmarinic acid, and umbelliferone are suitable for future pharmacogenetics-based studies in the management of depression. [ABSTRACT FROM AUTHOR]

The protection of evolutionary processes and maintenance of genetic diversity is necessary for the persistence of biodiversity and ecosystem resilience. The importance of genetic diversity has been reflected in a range of marine policy mechanisms, and the genetic 'toolbox' has great potential to support marine protection and marine spatial planning (MSP) at multiple scales. Despite scientific advances in the application of genetics in marine protection and management, systematic integration of genetic information has been generally lacking, primarily due to a knowledge and communication disconnect between geneticists and the marine policy and management community.To meet these outstanding needs, a 'geospatial genetics' approach to spatially map species‐specific genetic data and associated information in a way that can be readily integrated by practitioners into marine protection and MSP decisions was developed. Techniques to derive geospatial genetic data layers, which can be viewed and mapped alongside other kinds of spatial data commonly used by conservation practitioners, hold promise for increasing the accessibility of genetic data to support policy decisions more fully.While applicable to many mobile and sessile taxa, an initial focus was placed on marine mammals, and the approach was developed and refined through a series of international meetings and published papers, as well as the development of interactive, expert‐reviewed case studies hosted on the MSP tool SeaSketch.Outcomes of the work to date are currently serving in the policy arena by informing the identification of Important Marine Mammal Areas, an initiative led by the IUCN Marine Mammal Protected Areas Task Force to apply criteria to identify marine mammal habitats across the world's ocean, seas and relevant inland waters through a standardized process.It has become clear that geospatial genetics has great potential to foster increased collaboration among an intersectional community of geneticists, spatial ecologists, and practitioners. This increased opportunity for dialogue and cooperation will help ensure that evolutionary processes are factored into marine protection and MSP processes, and potentially for freshwater and terrestrial systems. [ABSTRACT FROM AUTHOR]

LINKED CONTENT: This article is linked to Bridi et al papers. To view these articles, visit https://doi.org/10.1111/apt.18099 and https://doi.org/10.1111/apt.18129 [ABSTRACT FROM AUTHOR]

LINKED CONTENT: This article is linked to Bridi et al papers. To view these articles, visit https://doi.org/10.1111/apt.18099 and https://doi.org/10.1111/apt.18123 [ABSTRACT FROM AUTHOR]

Societal Impact Statement: Studies that show how empire influenced the development of plant genetics add to the established history of genetics and 20th‐century agricultural science. One approach to broadening this history is to consider the contributions of students studying abroad and their greater careers back home. Research agendas differed between and within institutions, much as they do today. This article explores the postgraduate education of an Indian groundnut breeder. It highlights the structural challenges faced by researchers at agricultural departments who sought promotion through education and examines the consequences for plant breeding and for farmers. Summary: Through the biography of V.K. Badami, this article contributes to debates about genetics and plant breeding in the history of science. Badami, an accomplished breeder in the Mysore Department of Agriculture, took a leave to study genetics at the University of Cambridge. His professors nearly failed him, yet Badami's groundnut breeding experiments proved influential for Indian farmers as well as advances in crop science. This history adds to the thesis that academic genetics varied in support of professional plant breeding by comparing institutional expections between Mysore and Cambridge.The argument is developed by reading Badami's student records along with his groundnut breeding experiments in South India.The study connects the disciplinary history of genetics to plant breeding for the British empire.Badami's experience at Cambridge is indicative of the power relationship between academic genetics and imperial plant breeding in the early 20th century. In this case, his commitments as an Indian agricultural officer conflicted with the discipline's devotion to quantitative analysis. [ABSTRACT FROM AUTHOR]

Objective: Infantile seizures cause great concern for both doctors and parents. In addition to modern neuroimaging and genetics, clinical tools helpful in predicting the course of the disease are needed. We prospectively studied the incidence, electroclinical characteristics and etiologies of epilepsy syndromes with onset before the age of 12 months and looked for prognostic determinants of outcome by age 24 months. Methods: From February 2017 through May 2019, we recruited all eligible infants diagnosed with epilepsy at our unit. Data on electroclinical studies, genetic investigations and drug response were gathered prospectively. The infants were given a structured neurological examination (Hammersmith Infantile Neurological examination [HINE] and Griffiths scales) at predetermined intervals until age 24 months at which age neurocognitive evaluation with Bayley scales was performed. Results: Included were 60 infants (27 female). The mean onset age of epilepsy was 5.3 (±2.5 standard deviation) months. The incidence of epilepsy in the population‐based cohort was 131 (95% confidence interval 99–172)/100 000. Epilepsy syndrome was identified in 80% and etiology in 58% of infants. Self‐limited infantile epilepsy was the second most common syndrome (incidence 18/100 000) after infantile epileptic spasms syndrome. PRRT2 was the most common monogenic cause. At age 24 months, 37% of the infants had drug‐resistant epilepsy (DRE) and half had a global developmental delay (GDD). Abnormal first HINE was the strongest predictor of GDD, followed by DRE and identified etiology. DRE was associated with structural etiology and GDD. Those with normal first HINE and good response to treatment had favorable outcomes, irrespective of the identified etiology. Significance: Our results support a high incidence of self‐limited epilepsy in infancy and PRRT2 as the genetic cause in the first year of life. Notwithstanding the advances in etiological discovery, we want to highlight the importance of clinical evaluation as standardized neurological examination with HINE proved a valuable tool in prognostication. Plain Language Summary: One in every 700–800 babies develop epilepsy within the first year after birth. Our study identified an epilepsy syndrome in 80% and the cause of epilepsy in 60% of the participants. By age 2 years, over one‐third of the children still experienced seizures, and almost half faced significant developmental delay. Structural brain abnormalities increased the likelihood of difficult epilepsy and developmental challenges. Babies whose epilepsy was caused by a gene defect varied widely in development and response to medications. Babies with normal neurological examination at first visit, especially if their seizures stopped quickly, had favorable development. [ABSTRACT FROM AUTHOR]

Background: Human genetics research lacks diversity; over 80% of genome‐wide association studies have been conducted on individuals of European ancestry. In addition to limiting insights regarding disease mechanisms, disproportionate representation can create disparities preventing equitable implementation of personalized medicine. Objective: This systematic review provides an overview of research involving Parkinson's disease (PD) genetics in underrepresented populations (URP) and sets a baseline to measure the future impact of current efforts in those populations. Methods: We searched PubMed and EMBASE until October 2021 using search strings for "PD," "genetics," the main "URP," and and the countries in Latin America, Caribbean, Africa, Asia, and Oceania (excluding Australia and New Zealand). Inclusion criteria were original studies, written in English, reporting genetic results on PD from non‐European populations. Two levels of independent reviewers identified and extracted information. Results: We observed imbalances in PD genetic studies among URPs. Asian participants from Greater China were described in the majority of the articles published (57%), but other populations were less well studied; for example, Blacks were represented in just 4.0% of the publications. Also, although idiopathic PD was more studied than monogenic forms of the disease, most studies analyzed a limited number of genetic variants. We identified just nine studies using a genome‐wide approach published up to 2021, including URPs. Conclusion: This review provides insight into the significant lack of population diversity in PD research highlighting the immediate need for better representation. The Global Parkinson's Genetics Program (GP2) and similar initiatives aim to impact research in URPs, and the early metrics presented here can be used to measure progress in the field of PD genetics in the future. © 2022 International Parkinson and Movement Disorder Society. [ABSTRACT FROM AUTHOR]

Trimethylamine N‐oxide (TMAO) is a circulating microbiome‐derived metabolite implicated in the development of atherosclerosis and cardiovascular disease (CVD). We investigated whether plasma levels of TMAO, its precursors (betaine, carnitine, deoxycarnitine, choline), and TMAO‐to‐precursor ratios are associated with clinical outcomes, including CVD and mortality. This was followed by an in‐depth analysis of their genetic, gut microbial, and dietary determinants. The analyses were conducted in five Dutch prospective cohort studies including 7834 individuals. To further investigate association results, Mendelian Randomization (MR) was also explored. We found only plasma choline levels (hazard ratio [HR] 1.17, [95% CI 1.07; 1.28]) and not TMAO to be associated with CVD risk. Our association analyses uncovered 10 genome‐wide significant loci, including novel genomic regions for betaine (6p21.1, 6q25.3), choline (2q34, 5q31.1), and deoxycarnitine (10q21.2, 11p14.2) comprising several metabolic gene associations, for example, CPS1 or PEMT. Furthermore, our analyses uncovered 68 gut microbiota associations, mainly related to TMAO‐to‐precursors ratios and the Ruminococcaceae family, and 16 associations of food groups and metabolites including fish‐TMAO, meat‐carnitine, and plant‐based food‐betaine associations. No significant association was identified by the MR approach. Our analyses provide novel insights into the TMAO pathway, its determinants, and pathophysiological impact on the general population. Highlights: Exploration of microbiome‐related metabolites (trimethylamine N‐oxide [TMAO], choline, betaine, l‐carnitine, and deoxycarnitine) in 7834 participants from five population cohorts.Cardiovascular risk was associated with elevated choline concentrations, but not with TMAO concentrations.Characterization of the genetic architecture behind metabolite concentration variability.Identification of gut microbial taxonomic abundance associated with metabolite's plasma concentration levels.Fish intake is the major dietary driver of TMAO concentrations, and betaine is related to grains and vegetable intake. [ABSTRACT FROM AUTHOR]

This article summarizes the Special Issue of Evolutionary Applications focused on "Advances in Salmonid Genetics." Contributions to this Special Issue were primarily presented at the Coastwide Salmonid Genetics Meeting, held in Boise, ID in June 2023, with a focus on Pacific salmonids of the west coast region of North America. Contributions from other regions of the globe are also included and further convey the importance of various salmonid species across the world. This Special Issue is comprised of 22 articles that together illustrate major advances in genetic and genomic tools to address fundamental and applied questions for natural populations of salmonids, ranging from mixed‐stock analyses, to conservation of genetic diversity, to adaptation to local environments. These studies provide valuable insight for molecular ecologists since salmonid systems offer a window into evolutionary applications that parallel conservation efforts relevant and applicable beyond salmonid species. Here, we provide an introduction and a synopsis of articles in this Special Issue, along with future directions in this field. We present this Special Issue in honor of Fred Utter, a founder and leader in the field of salmonid genetics, who passed away in 2023. [ABSTRACT FROM AUTHOR]

Background: Photo‐ageing is a form of skin ageing which affects the entire face. A photo‐aged skin has a diverse variety of wrinkles and dyspigmentation all over the face. Here, we discuss photo‐ageing on the Chinese skin evaluated using a photo‐numeric scale developed and validated on Caucasian skin (i.e., Caucasian scale) and evaluated using a photo‐numeric scale developed and validated on Korean skin (i.e., Korean scale). The Korean scale can be subdivided into two scales that separately address the wrinkling and dyspigmentation constituents of photo‐ageing. Aim: As there are currently no photo‐ageing scales for Chinese skin, the main objective of this study is to adapt existing photo‐ageing photo‐numeric scales for use on ethnic Chinese skin. Method: Three trained assessors studied facial photo‐ageing on 1,081 ethnic Chinese young adults from the Singapore/Malaysia Cross‐sectional Genetics Epidemiology Study (SMCGES) cohort. Results: All assessors are highly internally consistent (Weighted Kappa (κw) values≥0.952). We found that the Caucasian scale and Korean scale give nearly synonymous results for the wrinkling constituent of photo‐ageing (R2 = 0.9386). The two scales are strongly concordant (Spearman's Rank Correlation (ρ) value: 0.62 ± 0.06, p = 1.31×10−84). A weak‐to‐moderate inter‐scalar level of agreement (Cohen's Kappa (κ) values: 0.38 ± 0.05, p = 8.87×10−53) persists and is statistically significant after accounting for agreements due to chance. When tested on ethnic Chinese skin, both scales detect photo‐ageing consistently (Area under curve [AUC] values: 0.76‐0.84). Additionally, the Korean scale for the dyspigmentation constituent of photo‐ageing is concordant with both the Caucasian scale (R2 = 0.7888) and the Korean scale for the wrinkling constituent of photo‐ageing (R2 = 0.7734). Conclusion: Our results show that the Caucasian scale is suitable for capturing photo‐ageing on Chinese skin, especially wrinkle variations. The Korean dyspigmentation scale supplements the Caucasian scale to capture dyspigmentation patterns on Chinese skin that may be absent on Caucasian skin. Currently, photo‐ageing scales for Chinese skin are absent. When developed, these photo‐ageing scales must be properly validated for their ability to capture photo‐ageing of the entire face. [ABSTRACT FROM AUTHOR]

INTRODUCTION: Alzheimer's disease (AD) is the predominant dementia globally, with heterogeneous presentation and penetrance of clinical symptoms, variable presence of mixed pathologies, potential disease subtypes, and numerous associated endophenotypes. Beyond the difficulty of designing treatments that address the core pathological characteristics of the disease, therapeutic development is challenged by the uncertainty of which endophenotypic areas and specific targets implicated by those endophenotypes to prioritize for further translational research. However, publicly funded consortia driving large‐scale open science efforts have produced multiple omic analyses that address both disease risk relevance and biological process involvement of genes across the genome. METHODS: Here we report the development of an informatic pipeline that draws from genetic association studies, predicted variant impact, and linkage with dementia associated phenotypes to create a genetic risk score. This is paired with a multi‐omic risk score utilizing extensive sets of both transcriptomic and proteomic studies to identify system‐level changes in expression associated with AD. These two elements combined constitute our target risk score that ranks AD risk genome‐wide. The ranked genes are organized into endophenotypic space through the development of 19 biological domains associated with AD in the described genetics and genomics studies and accompanying literature. The biological domains are constructed from exhaustive Gene Ontology (GO) term compilations, allowing automated assignment of genes into objectively defined disease‐associated biology. This rank‐and‐organize approach, performed genome‐wide, allows the characterization of aggregations of AD risk across biological domains. RESULTS: The top AD‐risk‐associated biological domains are Synapse, Immune Response, Lipid Metabolism, Mitochondrial Metabolism, Structural Stabilization, and Proteostasis, with slightly lower levels of risk enrichment present within the other 13 biological domains. DISCUSSION: This provides an objective methodology to localize risk within specific biological endophenotypes and drill down into the most significantly associated sets of GO terms and annotated genes for potential therapeutic targets. [ABSTRACT FROM AUTHOR]

INTRODUCTION: We aimed to expand the range of the frontotemporal dementia (FTD) phenotypes assessed by the Clinical Dementia Rating Dementia Staging Instrument plus National Alzheimer's Coordinating Center Behavior and Language Domains (CDR plus NACC FTLD). METHODS: Neuropsychiatric and motor domains were added to the standard CDR plus NACC FTLD generating a new CDR plus NACC FTLD‐NM scale. This was assessed in 522 mutation carriers and 310 mutation‐negative controls from the Genetic Frontotemporal dementia Initiative (GENFI). RESULTS: The new scale led to higher global severity scores than the CDR plus NACC FTLD: 1.4% of participants were now considered prodromal rather than asymptomatic, while 1.3% were now considered symptomatic rather than asymptomatic or prodromal. No participants with a clinical diagnosis of an FTD spectrum disorder were classified as asymptomatic using the new scales. DISCUSSION: Adding new domains to the CDR plus NACC FTLD leads to a scale that encompasses the wider phenotypic spectrum of FTD with further work needed to validate its use more widely. Highlights: The new Clinical Dementia Rating Dementia Staging Instrument plus National Alzheimer's Coordinating Center Behavior and Language Domains neuropsychiatric and motor (CDR plus NACC FTLD‐NM) rating scale was significantly positively correlated with the original CDR plus NACC FTLD and negatively correlated with the FTD Rating Scale (FRS).No participants with a clinical diagnosis in the frontotemporal dementia spectrum were classified as asymptomatic with the new CDR plus NACC FTLD‐NM rating scale.Individuals had higher global severity scores with the addition of the neuropsychiatric and motor domains.A receiver operating characteristic analysis of symptomatic diagnosis showed nominally higher areas under the curve for the new scales. [ABSTRACT FROM AUTHOR]

Background: Scleroderma, also referred to as systemic sclerosis, is a multifaceted autoimmune condition characterized by abnormal fibrosis and impaired vascular function. Pathologically, it encompasses the persistent presence of inflammation, abnormal collagen buildup, and restructuring of blood vessels in various organs, resulting in a wide range of clinical symptoms. This review incorporates the most recent scientific literature on scleroderma, with a particular emphasis on its pathophysiology, clinical manifestations, diagnostic approaches, and treatment options. Methodology: A comprehensive investigation was carried out on numerous databases, such as PubMed, MEDLINE, Scopus, Web of Science, and Google Scholar, to collect pertinent studies covering diverse facets of scleroderma research. Results: Scleroderma presents with a range of systemic manifestations, such as interstitial lung disease, gastrointestinal dysmotility, Raynaud's phenomenon, pulmonary arterial hypertension, renal complications, neurological symptoms, and cardiac abnormalities. Serological markers, such as antinuclear antibodies, anti‐centromere antibodies, and anti‐topoisomerase antibodies, are important for classifying diseases and predicting their outcomes. Discussion: The precise identification of scleroderma is crucial for promptly and correctly implementing effective treatment plans. Treatment approaches aim to improve symptoms, reduce complications, and slow down the progression of the disease. An integrated approach that combines pharmacological agents, including immunosuppressants, endothelin receptor antagonists, and prostanoids, with nonpharmacological interventions such as physical and occupational therapy is essential for maximizing patient care. Conclusion: Through the clarification of existing gaps in knowledge and identification of emerging trends, our goal is to improve the accuracy of diagnosis, enhance the effectiveness of therapeutic interventions, and ultimately enhance the overall quality of life for individuals suffering from scleroderma. Ongoing cooperation and creative research are necessary to advance the field and achieve improved patient outcomes and new therapeutic discoveries. [ABSTRACT FROM AUTHOR]