The Big Yes and the Little No

Program for the sixth annual RISD Cabaret held in the cellar at the top of the Waterman Building. Design and layout by Nonie Close.https://digitalcommons.risd.edu/liberalarts_cabaret_programs/1005/thumbnail.jp

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Neurocognitive Empowerment for Addiction Treatment (NEAT): Study Protocol for a Randomized Controlled Trial

Background: Neurocognitive deficits (NCDs) and associated meta-cognition difficulties associated with chronic substance use often delay the learning and change process necessary for addiction recovery and relapse prevention. However, very few cognitive remediation programs have been developed to target NCDs and meta-cognition for substance users. The study described herein aims to investigate the efficacy of a multi-component neurocognitive rehabilitation and awareness program termed ‘Neurocognitive Empowerment for Addiction Treatment’(NEAT). NEAT is a fully manualized, cartoon-based intervention involving psychoeducation, cognitive practice, and compensatory strategies relevant across 10 major cognitive domains, including aspects of attention, memory, executive functions, and decision-making. Method/design: In a single-blind randomized controlled trial (RCT), 80 female opioid and/or methamphetamine users will be recruited from an addiction recovery program providing an alternative to incarceration for women with substance use related offenses. Eight groups of 9-12 participants will be randomized into NEAT or treatment-as-usual (TAU). NEAT involves 14 90-min sessions, delivered twice weekly. The primary outcome is change in self-reported drug craving from before to after intervention using obsessive compulsive drug use scale. Secondary and exploratory outcomes include additional psychological, neurocognitive and structural and functional neuroimaging measures. Clinical measures will be performed at five time points (pre- and post- intervention, 3-, 6-, and 12-month follow-up); neuroimaging measures will be completed at pre- and post-intervention. Discussion: The present RCT is the first study to examine the efficacy of an adjunctive neurocognitive rehabilitation and awareness program for addiction. Results from this study will provide initial information concerning potential clinical efficacy of the treatment, as well as delineate neural mechanisms potentially targeted by this novel intervention. Trial registration: This trial was registered in clinicaltrials.gov on 22 April 2019 with NCT03922646 as clinicalTrials.gov identifier

A database system for constructing, integrating, and displaying physical maps of chromosome 19

Efforts are underway at numerous sites around the world to construct physical maps of all human chromosomes. These maps will enable researchers to locate, characterize, and eventually understand the genes that control human structure and function. Accomplishing this goal will require a staggering amount of innovation and advancement of biological technology. The volume and complexity of the data already generated requires a sophisticated array of computational support to collect, store, analyze, integrate, and display it in biologically meaningful ways. The Human Genome Center at Livermore has spent the last 6 years constructing a database system to support its physical mapping efforts on human chromosome 19. Our computational support team is composed of experienced computer professionals who share a common pragmatic primary goal of rapidly supplying tools that meet the ever-changing needs of the biologists. Most papers describing computational support of genome research concentrate on mathematical details of key algorithms. However, in this paper we would like to concentrate on the design issues, tradeoffs, and consequences from the point of view of building a complex database system to support leading-edge genomic research. We introduce the topic of physical mapping, discuss the key design issues involved in our databases, and discuss the use of this data by our major tools (DNA fingerprint analysis and overlap computation, contig assembly, map integration, and database browsing.) Given the advantage of hindsight, we discuss what worked, what didn`t, and how we will evolve from here. As early pioneers in this field we hope that our experience may prove useful to others who are now beginning to design and construct similar systems

An analysis of age-standardized suicide rates in Muslim-majority countries in 2000-2019

Background: This study examines the 20-year trend of suicide in 46 Muslim-majority countries throughout the world and compares their suicide rates and trends with the global average. Ecological-level associations between the proportion of the Muslim population, the age-standardized suicide rates, male-to-female suicide rate ratio, and the Human Development Index (HDI) in 2019 were examined. Methods: Age-standardized suicide rates were extracted from the WHO Global Health Estimates database for the period between 2000 and 2019. The rates in each country were compared with the age-standardized global average during the past 20 years. The countries were further grouped according to their regions/sub-regions to calculate the regional and sub-regional weighted age-standardized suicide rates involving Muslim-majority countries. Correlation analyses were conducted between the proportion of Muslims, age-standardized suicide rate, male: female suicide rate ratio, and the HDI in all countries. Joinpoint regression was used to analyze the age-standardized suicide rates in 2000-2019. Results: The 46 countries retained for analysis included an estimated 1.39 billion Muslims from a total worldwide Muslim population of 1.57 billion. Of these countries, eleven (23.9%) had an age-standardized suicide rate above the global average in 2019. In terms of regional/sub-regional suicide rates, Muslim-majority countries in the Sub-Saharan region recorded the highest weighted average age-standardized suicide rate of 10.02/100,000 population, and Southeastern Asia recorded the lowest rate (2.58/100,000 population). There were significant correlations between the Muslim population proportion and male-to-female rate ratios (r=-0.324, p=0.028), HDI index and age-standardized suicide rates (r=-0.506, p<0.001), and HDI index and male-to-female rate ratios (r=0.503, p<0.001) in 2019. Joinpoint analysis revealed that seven Muslim-majority countries (15.2%) recorded an increase in the average annual percentage change regarding age-standardized suicide rates during 2000-2019. Conclusions: Most Muslim-majority countries had lower age-standardized suicide rates than the global average, which might reflect religious belief and practice or due to Muslim laws in their judicial and social structure which may lead to underreporting. This finding needs further in-depth country and region-specific study with regard to its implication for public policy

An analysis of age-standardized suicide rates in Muslim-majority countries in 2000-2019

BACKGROUND: This study examines the 20-year trend of suicide in 46 Muslim-majority countries throughout the world and compares their suicide rates and trends with the global average. Ecological-level associations between the proportion of the Muslim population, the age-standardized suicide rates, male-to-female suicide rate ratio, and the Human Development Index (HDI) in 2019 were examined. METHODS: Age-standardized suicide rates were extracted from the WHO Global Health Estimates database for the period between 2000 and 2019. The rates in each country were compared with the age-standardized global average during the past 20 years. The countries were further grouped according to their regions/sub-regions to calculate the regional and sub-regional weighted age-standardized suicide rates involving Muslim-majority countries. Correlation analyses were conducted between the proportion of Muslims, age-standardized suicide rate, male: female suicide rate ratio, and the HDI in all countries. Joinpoint regression was used to analyze the age-standardized suicide rates in 2000-2019. RESULTS: The 46 countries retained for analysis included an estimated 1.39 billion Muslims from a total worldwide Muslim population of 1.57 billion. Of these countries, eleven (23.9%) had an age-standardized suicide rate above the global average in 2019. In terms of regional/sub-regional suicide rates, Muslim-majority countries in the Sub-Saharan region recorded the highest weighted average age-standardized suicide rate of 10.02/100,000 population, and Southeastern Asia recorded the lowest rate (2.58/100,000 population). There were significant correlations between the Muslim population proportion and male-to-female rate ratios (r=-0.324, p=0.028), HDI index and age-standardized suicide rates (r=-0.506, p<0.001), and HDI index and male-to-female rate ratios (r=0.503, p<0.001) in 2019. Joinpoint analysis revealed that seven Muslim-majority countries (15.2%) recorded an increase in the average annual percentage change regarding age-standardized suicide rates during 2000-2019. CONCLUSIONS: Most Muslim-majority countries had lower age-standardized suicide rates than the global average, which might reflect religious belief and practice or due to Muslim laws in their judicial and social structure which may lead to underreporting. This finding needs further in-depth country and region-specific study with regard to its implication for public policy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13101-3

Correction: An analysis of age-standardized suicide rates in Muslim-majority countries in 2000-2019

Te original publication of this article [1] contained an error in the discussion section. Te incorrect and correct information is shown below