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Life's greatest secret : the race to crack the genetic code
Life's Greatest Secret is the story of the discovery and cracking of the genetic code. This great scientific breakthrough has had far-reaching consequences for how we understand ourselves and our place in the natural world. The code forms the most striking proof of Darwin's hypothesis that all organisms are related, holds tremendous promise for improving human well-being, and has transformed the way we think about life. Matthew Cobb interweaves science, biography and anecdote in a book that mixes remarkable insights, theoretical dead-ends and ingenious experiments with the pace of a thriller. He describes cooperation and competition among some of the twentieth-century's most outstanding and eccentric minds, moves between biology, physics and chemistry, and shows the part played by computing and cybernetics. The story spans the globe, from Cambridge MA to Cambridge UK, New York to Paris, London to Moscow. It is both thrilling science and a fascinating story about how science is done.
Book
Rights, interests and expectations: Indigenous perspectives on unrestricted access to genomic data
Addressing Indigenous rights and interests in genetic resources has become increasingly challenging in an open science environment that promotes unrestricted access to genomic data. Although Indigenous experiences with genetic research have been shaped by a series of negative interactions, there is increasing recognition that equitable benefits can only be realized through greater participation of Indigenous communities. Issues of trust, accountability and equity underpin Indigenous critiques of genetic research and the sharing of genomic data. This Perspectives article highlights identified issues for Indigenous communities around the sharing of genomic data and suggests principles and actions that genomic researchers can adopt to recognize community rights and interests in data.In this Perspective article, the authors discuss how Indigenous Peoples' desires for greater involvement and oversight when participating in genomic research projects can be balanced against calls for unrestricted data access. They provide practical recommendations for the handling and sharing of Indigenous genomic data, with the aim of achieving mutual benefit for the research community and participating Indigenous communities.
Journal Article
Update of penetrance estimates in Birt-Hogg-Dubé syndrome
BackgroundBirt-Hogg-Dubé (BHD) syndrome is a rare genetic syndrome caused by pathogenic or likely pathogenic germline variants in the FLCN gene. Patients with BHD syndrome have an increased risk of fibrofolliculomas, pulmonary cysts, pneumothorax and renal cell carcinoma. There is debate regarding whether colonic polyps should be added to the criteria. Previous risk estimates have mostly been based on small clinical case series.MethodsA comprehensive review was conducted to identify studies that had recruited families carrying pathogenic or likely pathogenic variants in FLCN. Pedigree data were requested from these studies and pooled. Segregation analysis was used to estimate the cumulative risk of each manifestation for carriers of FLCN pathogenic variants.ResultsOur final dataset contained 204 families that were informative for at least one manifestation of BHD (67 families informative for skin manifestations, 63 for lung, 88 for renal carcinoma and 29 for polyps). By age 70 years, male carriers of the FLCN variant have an estimated 19% (95% CI 12% to 31%) risk of renal tumours, 87% (95% CI 80% to 92%) of lung involvement and 87% (95% CI 78% to 93%) of skin lesions, while female carriers had an estimated 21% (95% CI 13% to 32%) risk of renal tumours, 82% (95% CI 73% to 88%) of lung involvement and 78% (95% CI 67% to 85%) of skin lesions. The cumulative risk of colonic polyps by age 70 years old was 21% (95% CI 8% to 45%) for male carriers and 32% (95% CI 16% to 53%) for female carriers.ConclusionsThese updated penetrance estimates, based on a large number of families, are important for the genetic counselling and clinical management of BHD syndrome.
Journal Article
A framework for tiered informed consent for health genomic research in Africa
A generic framework for providing participant information and implementing a tiered consent process for health genomic research in Africa can help to harness global health benefits from sharing and meta-analysis of African genomic data while simultaneously respecting and upholding the autonomy and individual choices of African research participants.
Journal Article
Aggressive behavior : genetic and neural approaches
Since the heyday of research on aggression in the late 1960s, developments in several varied areas had enabled us to take a new look at this important though difficult topic. Recent findings and sophisticated new techniques in behavior genetic analysis at the time had made it possible not only to enhance our understanding of the genetic mechanisms underlying aggressive behavior, but also to provide some reasonable suggestions as to the role of aggression in evolution. Originally published in 1983, there had been significant advances in genetic and neural research and a much more sophisticated and heuristic approach to the measurement and conceptualization of aggressive behavior had developed. The ten chapters in this volume provide a thorough overview of these new approaches and methodologies. There are also suggestions regarding the scope of future research on aggressive behavior, since much of what is presented describes the ongoing research activities of the contributors. This book is divided into four sections: The first provides a systematic foundation for research on aggression, and a description of some of the newer strategies for research in this area; the second concerns quantitative genetic analyses, selection data from both wild and laboratory populations, and situational determinants of aggressive behavior; the third section details new and exciting findings in neurochemical and neuropharmacological effects; and the last section contains a chapter that provides a summary and synthesis of all that has come before.
BOOK
Translational genomics for achieving higher genetic gains in groundnut
Key messageGroundnut has entered now in post-genome era enriched with optimum genomic and genetic resources to facilitate faster trait dissection, gene discovery and accelerated genetic improvement for developing climate-smart varieties. Cultivated groundnut or peanut (Arachis hypogaea), an allopolyploid oilseed crop with a large and complex genome, is one of the most nutritious food. This crop is grown in more than 100 countries, and the low productivity has remained the biggest challenge in the semiarid tropics. Recently, the groundnut research community has witnessed fast progress and achieved several key milestones in genomics research including genome sequence assemblies of wild diploid progenitors, wild tetraploid and both the subspecies of cultivated tetraploids, resequencing of diverse germplasm lines, genome-wide transcriptome atlas and cost-effective high and low-density genotyping assays. These genomic resources have enabled high-resolution trait mapping by using germplasm diversity panels and multi-parent genetic populations leading to precise gene discovery and diagnostic marker development. Furthermore, development and deployment of diagnostic markers have facilitated screening early generation populations as well as marker-assisted backcrossing breeding leading to development and commercialization of some molecular breeding products in groundnut. Several new genomics applications/technologies such as genomic selection, speed breeding, mid-density genotyping assay and genome editing are in pipeline. The integration of these new technologies hold great promise for developing climate-smart, high yielding and more nutritious groundnut varieties in the post-genome era.
Journal Article
Genetic studies of body mass index yield new insights for obesity biology
Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (
P
< 5 × 10
−8
), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
A genome-wide association study and Metabochip meta-analysis of body mass index (BMI) detects 97 BMI-associated loci, of which 56 were novel, and many loci have effects on other metabolic phenotypes; pathway analyses implicate the central nervous system in obesity susceptibility and new pathways such as those related to synaptic function, energy metabolism, lipid biology and adipogenesis.
Genetic correlates of obesity
In the second of two Articles in this issue from the GIANT Consortium, Elizabeth Speliotes and collegues conducted a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), commonly used to define obesity and assess adiposity, to find 97 BMI-associated loci, of which 56 were novel. Many of these loci have significant effects on other metabolic phenotypes. The 97 loci account for about 2.7% of BMI variation, and genome-wide estimates suggest common variation accounts for more than 20% of BMI variation. Pathway analyses implicate the central nervous system in obesity susceptibility including synaptic function, glutamate signaling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.
Journal Article