Books: 'Genetic loci'

1

Mavridou, Annoula. Genetic loci of Rhizobium leguminosarum affecting nod gene expression. Norwich: University of East Anglia, 1992.

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2

Population genetics of multiple loci. Chichester: Wiley, 2000.

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3

Weller, Joel Ira. Quantitative trait loci analysis in animals. 2nd ed. Cambridge, MA: CABI North American Office, 2009.

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4

Weller, Joel Ira. Quantitative trait loci analysis in animals. Oxon, UK: CABI Pub., 2001.

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5

J, Camp Nicola, and Cox Angela 1961-, eds. Quantitative trait loci: Methods and protocols. Totowa, N.J: Humana Press, 2002.

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6

Lantbruksuniversitet, Sveriges, ed. Genome analysis of quantitative trait loci in the pig. Uppsala: Sveriges Lantbruksuniversitet, 1997.

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7

Miller, James R. X-linked traits: A catalog of loci in nonhuman mammals. Cambridge: Cambridge University Press, 1990.

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8

Saunak, Sen, and SpringerLink (Online service), eds. A Guide to QTL Mapping with R/qtl. New York, NY: Springer-Verlag New York, 2009.

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9

Sepúlveda, Juan Ginés de. Io. Genesii Sepulvedae Cordubensis artium et sacrae theologiae doctor historicus Caesareus: Epistolarum libri septem in quibus cum alia multa quae legantur dignissima tradunter, tum varii loci graviorum doctrinarum eruditissime et elegantissime tractantur. Monachii et Lipsiae: in aedibus K.G. Saur, 2003.

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10

Sandler, Corey. Official Sega Genesis and Game Gear strategies, 3RD Edition. New York: Bantam Books, 1992.

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11

Tom, Badgett, ed. Official Sega Genesis and Game Gear strategies, 2ND Edition. Toronto: Bantam Books, 1991.

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12

Penney, Kathryn L., Kyriaki Michailidou, Deanna Alexis Carere, Chenan Zhang, Brandon Pierce, Sara Lindström, and Peter Kraft. Genetic Epidemiology of Cancer. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0005.

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Chapter 5 reviews epidemiologic studies conducted to identify germline (inherited) susceptibility loci. These studies can involve associations observed within high-risk family pedigrees or in large studies of unrelated individuals. The chapter reviews the methods used to estimate the aggregate contribution of inherited genetic susceptibility and to identify specific genetic loci associated with risk. Although there is considerable variability across cancers, most cancers exhibit familial clustering, driven in part by a small number of known rare variants with large relative risks and a larger number of common variants with modest relative risks. The chapter discusses the implications of these findings for clinical care, public health, and tumor biology. It closes with a discussion of open questions, most notably the puzzle of “missing heritability”: the fact that—despite tremendous advances—multiple lines of evidence suggest that most specific risk variants, both rare and common, have yet to be discovered.

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13

Hilliker, C. Molecular and Genetic Characterisation of Selected Loci of the A2m-System. Leuven University Press, 1994.

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14

Weller, Joel. Genomic Selection in Animals. Wiley & Sons, Limited, John, 2016.

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15

Genomic Selection in Animals. Wiley-Blackwell, 2016.

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16

Weller, Joel. Genomic Selection in Animals. Wiley & Sons, Incorporated, John, 2016.

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17

Weller, Joel. Genomic Selection in Animals. Wiley & Sons, Incorporated, John, 2016.

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18

Pedretti, Ricardo. Agronomic performance of six winter wheat dwarfing sources when crossed to isogenic lines for Norin 10 Rht loci. 1987.

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19

Al-Rjoub, Faisal Ahmed. Mapping quantitative trait loci affecting sucrose accumulation in barley seedlings under water stress. 1994.

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20

Guffanti, Guia, Milissa L. Kaufman, Lauren A. M. Lebois, and Kerry J. Ressler. Genetic Approaches to Post-Traumatic Stress Disorder. Edited by Charles B. Nemeroff and Charles R. Marmar. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190259440.003.0026.

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Post-traumatic stress disorder (PTSD) is a debilitating psychiatric disorder with an estimated genetic component accounting for 30%–40% of the variance contributing to risk for the disease. This chapter starts with a review of the biological hypotheses and related genetic mechanisms currently proposed to be associated with PTSD and trauma-related disorders. It will follow with a description of the state-of-the-art on the methodologies and their application to map genetic loci and identify biomarkers associated with PTSD. Finally, we will review the latest results from genome-wide association studies of genetic variants as well as those derived from the emerging fields of epigenetics and gene expression.

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21

Fleischman, Alan R. Ethical Issues in Genetic Testing and Screening in Children. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199354474.003.0005.

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This chapter describes genetic testing and screening in children and presents the many ethical issues associated with these practices. It examines the unique ethical concerns in genetic testing in children with particular emphasis on screening for adult-onset diseases, newborn screening, and whole exome or genome testing. Whole genome testing is now available as a clinical tool for patients with undefined disorders, and has also been offered directly to the public as a way of exploring risk of future disease. In the first decades of the 21st century the ability to examine single-gene disorders has exploded as technology has allowed for more rapid and less expensive analysis of individual gene loci. The chapter also deals with ethical concerns in genetic research, biobanking, and revealing research findings to patients and families.

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22

Application of New Genetic Technologies to Animal Breeding. CSIRO Publishing, 2005. http://dx.doi.org/10.1071/9780643093003.

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The 16th Biennial Conference of the Association for the Advancement of Animal Breeding and Genetics (AAABG) gathers together scientists, extension workers, producers and industry personnel to review developments in the application of new technologies to animal breeding. Conference presentations include 30 invited reviews and papers, and 95 contributed papers. All papers are peer-reviewed, and cover session topics that focus on genetic evaluation systems, gene expression profiling, identification and manipulation of quantitative trait loci, progress in applied programs and advanced statistical and computing techniques. Industry applications are discussed for improvement in production, health and reproduction of domestic livestock, aquaculture species and even crocodiles and ostriches. Institutions and industries in Australia, New Zealand, USA, South Africa, South-East Asia and Japan are represented with significant participation of major Cooperative Research Centres. These proceedings contain the full text of all contributed papers and summaries of the invited reviews which are published separately in the Australian Journal of Experimental Agriculture.

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23

Hasnain, Hashim. Is there a relationship between morphological variation and genetic variation of enzyme and blood group loci in humanpopulations? 1991.

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24

Buxbaum, Joseph D. An Overview of the Genetics of Autism Spectrum Disorders. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199744312.003.0004.

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There is very good evidence for a strong genetic component to the autism spectrum disorders (ASDs), which include autistic disorder, Asperger syndrome, pervasive developmental disorder not otherwise specified, and Rett syndrome. At the same time, identifying the loci contributing to ASD risk has proven difficult because of extreme heterogeneity. However, in spite of these difficulties, many ASD loci have been identified and, even using current clinical measures, an etiological diagnosis can be given in upward of 20% of cases. With the introduction of “second-generation” sequencing, gene discovery in ASDs will accelerate. As genes are being discovered, functional analyses are leading to potential novel therapeutics, and there is great optimism for more effective treatments in ASDs arising from gene discovery. In the current review, some of the important findings in ASD genetics will be outlined, as will the next steps in ASD genetics.

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25

Webb, David M. Genetic mapping of Cuphea lanceolata: Molecular-marker linkage to quantitative-trait loci affecting seed capric acid, seed oil, and embryo development. 1990.

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26

Hinks, Anne, and Wendy Thomson. Genetics of juvenile rheumatic diseases. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0043.

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Juvenile rheumatic diseases are heterogeneous, complex genetic diseases; to date only juvenile idiopathic arthritis (JIA) has been extensively studied in terms of identifying genetic risk factors. The MHC region is a well-established risk factor but in the last few years candidate gene and genome-wide association studies have been utilized in the search for non-HLA risk factors. There are now an additional 12 JIA susceptibility loci with evidence for association in more than one study. In addition, some subtype-specific associations are emerging. These risk loci now need to be investigated further using fine-mapping strategies and then appropriate functional studies to show how the variant alters the gene function. This knowledge will not only lead to a better understanding of disease pathogenesis for juvenile rheumatic diseases but may also aid in the classification of these heterogeneous diseases. It may identify new pathways for potential therapeutic targets and help in the prediction of disease outcome and response to treatment.

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27

Walsh, Bruce, and Michael Lynch. The Population Genetics of Selection. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0005.

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This chapter examines models of one- and two-locus selection in the absence of drift and mutation. Expressions for the per-generation rate of allele-frequency change and the expected time for a specified amount of change are developed for single-locus models, and their equilibrium structure is examined for those settings where selection retains more than one allele. The presence of selection-generated linkage disequilibrium greatly complicates the extension of single-locus results to two loci, and the chapter examines some of the resulting complications. Finally, it examines the nature of selection on a locus that underlies a trait under selection, and then uses this to develop the breeder's equation for the single-generation response in a trait under selection. One important result is that the loci for a trait under stabilizing selection experience fitness underdominance, and thus trait selection removes, rather than retains, genetic variation.

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28

Walsh, Bruce, and Michael Lynch. Short-term Changes in the Variance: 1. Changes in the Additive Variance. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0016.

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Selection changes the additive-genetic variance (and hence the response in the mean) by both changing allele frequencies and by generating correlations among alleles at different loci (linkage disequilibrium). Such selection-induced correlations can be generated even between unlinked loci, and (generally) are negative, such that alleles increasing trait values tend to become increasingly negative correlated under direction or stabilizing selection, and positively correlated under disruptive selection. Such changes in the additive-genetic variance from disequilibrium is called the Bulmer effects. For a large number of loci, the amount of change can be predicted from the Bulmer equation, the analog of the breeder's equation, but now for the change in the variance. Upon cessation of selection, any disequilibrium decays away, and the variances revert back to their additive-genic variances (the additive variance in the absence of disequilibrium). Assortative mating also generates such disequilibrium.

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29

Hinks, Anne, and Wendy Thomson. Genetics of juvenile rheumatic diseases. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199642489.003.0043_update_002.

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Juvenile rheumatic diseases are heterogeneous, complex genetic diseases; to date only juvenile idiopathic arthritis (JIA) has been extensively studied in terms of identifying genetic risk factors. The MHC region is a well-established risk factor but in the last few years candidate gene and large-scale genome-wide association studies have been utilized in the search for non-HLA risk factors. There are now 17 JIA susceptibility loci which reach the genome-wide significance threshold for association and a further 7 regions with evidence for association in more than one study. In addition, some subtype-specific associations are emerging. These risk loci now need to be investigated further using fine-mapping strategies and then appropriate functional studies to show how the variant alters the gene function. This knowledge will not only lead to a better understanding of disease pathogenesis for juvenile rheumatic diseases but may also aid in the classification of these heterogeneous diseases. It may identify new pathways for potential therapeutic targets and help in the prediction of disease outcome and response to treatment.

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30

Hinks, Anne, and Wendy Thomson. Genetics of juvenile rheumatic diseases. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199642489.003.0043_update_003.

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Juvenile rheumatic diseases are heterogeneous, complex genetic diseases; to date only juvenile idiopathic arthritis (JIA) has been extensively studied in terms of identifying genetic risk factors. The MHC region is a well-established risk factor but in the last few years candidate gene and large-scale genome-wide association studies have been utilized in the search for non-HLA risk factors. There are now 17 JIA susceptibility loci which reach the genome-wide significance threshold for association and a further 7 regions with evidence for association in more than one study. In addition, some subtype-specific associations are emerging. These risk loci now need to be investigated further using fine-mapping strategies and then appropriate functional studies to show how the variant alters the gene function. This knowledge will not only lead to a better understanding of disease pathogenesis for juvenile rheumatic diseases but may also aid in the classification of these heterogeneous diseases. It may identify new pathways for potential therapeutic targets and help in the prediction of disease outcome and response to treatment.

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31

Winchester, Robert, Darren D. O’Rielly, and Proton Rahman. Genetics of psoriatic arthritis. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198737582.003.0006.

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The psoriatic phenotype is clinically heterogeneous with psoriatic arthritis (PsA) itself being heterogeneous. Studies have consistently demonstrated that PsA has a strong genetic component and disease pathogenesis encompasses a complex interplay between genetic, immunological, and environmental factors. In this chapter, we will review the genetics of PsA including the major histocompatibility complex (MHC) region and non-MHC loci. We will detail how susceptibility genes can be grouped into barrier integrity, innate immune response, and adaptive immune response (particularly Th-17 lymphocyte signalling). We will articulate how these studies strongly support PsA as genetically different from PsV and that the genetic heterogeneity is likely attributed to different HLA susceptibility alleles within the MHC region that an individual carries. Furthermore, we will highlight new emerging technologies, in particular, next-generation sequencing, which may lead to new genetic discoveries in PsA.

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32

Eyre, Steve, and Jane Worthington. Genetics of rheumatoid arthritis. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0040.

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A range of epidemiological studies have clearly established that susceptibility to rheumatoid arthritis (RA) is determined by both genetic and environmental factors. Studies over the last five decades have used a variety of approaches to identify the genetic variants associated with disease. HLA DRB1 was the first RA susceptibility locus to be discovered and has the largest effect size. We describe current understanding of the complexities of HLA association for RA. Linkage and small-scale association studies prior to 2007 provided convincing evidence for only one more RA susceptibility locus, PTPN22. Major breakthroughs in high-throughput genotyping and systematic discovery and mapping of hundreds of thousands of single nucleotide polymorphisms (SNPs) led to large-scale genome-wide association studies used for the first time for RA in 2007. This approach has had a dramatic impact on our knowledge of the susceptibility loci for RA, such that over 60 risk variants have now been robustly identified. We present an overview of these studies and the loci that have been identified. We consider how this knowledge is contributing to a greater understanding of the aetiology and pathology of the disease and in turn how this can influence management of patients presenting with an inflammatory arthritis. We consider some of the unanswered questions and the approaches that will need to be taken to address them.

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33

Eyre, Steve, Jane Worthington, and Sebastien Viatte. Genetics of rheumatoid arthritis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199642489.003.0040_update_003.

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A range of epidemiological studies have clearly established that susceptibility to rheumatoid arthritis (RA) is determined by both genetic and environmental factors. Studies over the last five decades have used a variety of approaches to identify the genetic variants associated with disease. HLA DRB1 was the first RA susceptibility locus to be discovered and has the largest effect size. We describe current understanding of the complexities of HLA association for RA. Linkage and small-scale association studies prior to 2007 provided convincing evidence for only one more RA susceptibility locus, PTPN22. Major breakthroughs in high-throughput genotyping, and systematic discovery and mapping of hundreds of thousands of single nucleotide polymorphisms (SNPs) led to large-scale genome-wide association studies used for the first time for RA in 2007. Widespread utilization of this approach has had a dramatic impact on our knowledge of the susceptibility loci for RA, such that over 100 risk variants have now been robustly identified. We present an overview of these studies and the loci that have been identified. We consider how this knowledge is contributing to a greater understanding of the aetiology and pathology of the disease, and in turn how this can influence management of patients presenting with an inflammatory arthritis. We consider some of the unanswered questions and the approaches that will need to be taken to address them.

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34

Renton, Alan E., and Alison M. Goate. Genetics of Dementia. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0051.

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The genetic architecture of dementia is polygenic and complex, with risk alleles spanning frequency–effect size space. Despite significant progress, most genes influencing these disorders await discovery. Known risk loci implicate perturbed pathways that coalesce around recurring mechanistic themes, notably the autophagosome-lysosome system, the cytoskeleton, endocytosis, innate immunity, lipid metabolism, mitochondria, and the ubiquitin-proteasome system. Phenotypic and pathophysiological pleiotropy suggests some conditions form continuous clinicopathogenetic disease spectra blurring classical diagnoses. Future large-scale genome sequencing of global populations will significantly elucidate etiopathogenesis and is likely to reframe nosology. Furthermore integrative prospective cohort studies have the potential to revolutionize our understanding of dementia.

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35

Harold, Denise, and Julie Williams. Molecular genetics and biology of dementia. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199644957.003.0008.

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Considerable progress has been made in our understanding of the genetics and molecular biology of dementia. In this chapter we focus predominantly on the most common form of dementia, Alzheimer’s disease (AD), but also discuss vascular dementia and frontotemporal dementia. Genetic mutations have been identified that cause Mendelian subtypes of each disorder, and in recent years genome-wide association studies have greatly aided the identification of risk genes for more common forms of disease. For example, 9 susceptibility genes have been identified in AD in the past 3 years as a result of genome-wide association studies, the first robust risk loci to be identified since APOE in 1993. This progress in genetic research is having a dramatic effect on our understanding of disease pathogenesis, by refining previous ideas and defining new primary disease mechanisms.

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36

Brown, Matthew A., and John Reveille. Genetics of spondyloarthritis. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198734444.003.0005.

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In addition to sharing clinical, histopathological, and immunological features, spondyloarthritis (SpA) encompasses a group of diseases that are genetically linked through shared associations with HLA-B27, as well as other genes of the IL-23R and aminopeptidase groups. Great progress has been made since the development of the genome-wide association study approach, with better dissection of the HLA associations of this group of diseases, as well as the discovery of multiple genetic loci found outside of the major histocompatibility complex, in ankylosing spondylitis (AS) in particular. These genetic data shed light on the related pathogenesis of AS and psoriatic arthritis (PsA), inflammatory bowel disease (IBD)-related arthritis, and reactive arthritis (ReA). Genetic associations also strengthen the suggestive data that Behçet’s disease (BD) and Familial Mediterranean Fever (FMF) are related to the more classical forms of SpA.

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37

Graves, Joseph L. Biological Theories of Race beyond the Millennium. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190465285.003.0002.

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This chapter provides historical contextualization of the crisis faced by the social construction approach of race. It reveals that anatomically modern humans are a young species that spent the majority of their existence living in a narrow range of eastern Africa. Indeed the exit of our species has been pushed forward in time from previous estimates. Evolutionary forces of natural selection and genetic drift have differentiated human populations, but this differentiation has been small. Most of the signal of human differentiation occurs in noncoding loci that do not face the force of purifying selection. Within the coding loci, some adaptation to local conditions has occurred. This adaptation does not allow the unambiguous classification of human populations into biological races.

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38

Gelernter, Joel. Complex Trait Genetics and Population Genetics in Psychiatry. Edited by Turhan Canli. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199753888.013.016.

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Nearly all behavioral traits, ranging from personality traits such as neuroticism to schizophrenia and autism, are genetically influenced. With only minor exceptions, all are genetically complex—meaning that inheritance is not simply dominant or recessive or sex-linked, but follows more complex patterns indicative of more complex mechanisms. Most risk variants identified to date have only small effects on risk, and, in most cases, many risk variants at many risk loci interact with environmental factors to produce the phenotype. Such complexity has led to great challenges in increasing our knowledge of the inheritance of behavioral traits. Recent methodological advances have provided an improved set of tools that has led to advances in our understanding of the genetic influences on a range of behavioral traits. This chapter examines some of the issues involved that tend to make this a difficult problem and some of the solutions now being employed to approach those problems.

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39

De Rubeis, Silvia, M. Pilar Trelles, and Joseph D. Buxbaum. Genetics of Pediatric Psychiatric Disorders. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0059.

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With the advent of genome-wide methods to identify genes and loci contributing to risk for complex disorders, there has been an explosion of findings in pediatric psychiatric disorders. We provide a brief primer on recent genome-wide approaches and on key concepts that are important for the understanding of genetic findings in the field of psychiatry, with a focus on pediatric psychiatric disorders. We summarize how common and rare genetic variation, associated with either modest or high risk, contributes to the risk architecture of pediatric psychiatric disorders. As we review these approaches and concepts, we highlight salient examples from these disorders and connect to other neurobiological and clinical concepts discussed in other chapters in this section. This overview also provides background to clinical genetic reports, which are now being used more and more frequently for unexplained neurodevelopmental disorders.

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40

Dalbeth, Nicola. Clinical features of gout. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198748311.003.0005.

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About 60% of the variance in serum urate levels can be explained by inherited genetic factors, but the extent of the contribution of genetic factors to gout in the presence of hyperuricaemia is not known. Genome-wide association studies in Europeans have identified 28 loci controlling serum urate levels, although the molecular basis of the majority of these genetic associations is currently unknown. The SLC2A9 and ABCG2 renal and gut uric acid transporters have very strong effects on urate levels and the risk of gout. Other uric acid transporters (e.g. SLC22A11/OAT478, SLC22A12/URAT1) and a glycolysis gene (GCKR) are associated with urate levels. Environmental exposures such as sugar-sweetened beverages and alcohol interact with urate-associated genetic variants in an unpredictable fashion. Very little is known about the genetic control of gout in the presence of hyperuricaemia, formation of monosodium urate crystals, and the immune response.

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41

Yang, Jin, Pei Han, Wei Li, and Ching-Pin Chang. Epigenetics and post-transcriptional regulation of cardiovascular development. Edited by José Maria Pérez-Pomares, Robert G. Kelly, Maurice van den Hoff, José Luis de la Pompa, David Sedmera, Cristina Basso, and Deborah Henderson. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198757269.003.0032.

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Cardiac organogenesis requires the control of gene expression at distinct developmental windows in order to organize morphogenetic steps in the correct sequence for heart development. This is facilitated by concerted regulation at three levels: chromatin, transcription, and post-transcriptional modifications. Epigenetic regulation at the chromatin level changes the chromatin scaffold of DNA to regulate accessibility of the DNA sequence to transcription factors for genetic activation or repression. At the genome, long non-coding RNAs work with epigenetic factors to alter the chromatin scaffold or form DNA-RNA complexes at specific genomic loci to control the transcription of genetic information. After RNA transcription, the expression of genetic information can be further modified by microRNAs. Each layer of gene regulation requires the participation of many factors, with their combinatorial interactions providing variations of genetic expression at distinct pathophysiological phases of the heart. The major functions of chromatin remodellers and non-coding RNAs are discussed.

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42

Quantitative Trait Loci Analysis in Animals. CABI, 2001.

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43

Tülümen, Erol, and Martin Borggrefe. Monogenic and oligogenic cardiovascular diseases: genetics of arrhythmias—short QT syndrome. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0150.

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Short QT syndrome (SQTS) is a very rare, sporadic or autosomal dominant inherited channelopathy characterized by abnormally short QT intervals on the electrocardiogram and increased propensity to atrial and ventricular tachyarrhythmias and/or sudden cardiac death. Since its recognition as a distinct clinical entity in 2000, significant progress has been made in defining the clinical, molecular, and genetic basis of SQTS. To date, several causative gain-of-function mutations in potassium channel genes and loss-of-function mutations in calcium channel genes have been identified. The physiological consequence of these mutations is an accelerated repolarization, thus abbreviated action potentials and shortened QT interval with an increased inhomogeneity and dispersion of repolarization. Regarding other rare monogenetic arrhythmias, a genetic basis of atrial fibrillation was considered very unlikely until very recently. However, in the last decade the heritability of atrial fibrillation in the general population has been well described in several epidemiological studies. So far, more than 30 genes have been implicated in atrial fibrillation through candidate gene approach studies, and 14 loci were found to be associated with atrial fibrillation through genome-wide association studies. This genetic heterogeneity and the low prevalence of mutations in any single gene restrict the clinical utility of genetic screening in atrial fibrillation.

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44

Perkins, David D., Alan Radford, and Matthew S. Sachs. Neurospora Compendium: Chromosomal Loci. Elsevier Science & Technology Books, 2000.

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45

Camp, Nicola J., and Angela Cox. Quantitative Trait Loci: Methods and Protocols. Humana Press, 2010.

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46

Perkins, David D., Alan Radford, and Matthew S. Sachs. The Neurospora Compendium: Chromosomal Loci. Academic Press, 2001.

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47

McKinlay Gardner, R. J., and David J. Amor. Sex Chromosome Translocations. Edited by R. J. McKinlay Gardner and David J. Amor. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199329007.003.0006.

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The sex chromosomes (gonosomes) are different, and sex chromosome translocations need to be considered separately from translocations between autosomes. A sex chromosome can engage in translocation with an autosome, with the other sex chromosome, or even with its homolog. The qualities of the sex chromosomes have unique implications in terms of the genetic functioning of gonosome-autosome translocations. This chapter acknowledges the specific peculiarities that the sex chromosomes imply: the X being subject to transcriptional silencing; and the very small Y gene complement being confined largely to sex-determining loci. It reviews translocations between sex chromosomes and autosomes; between X and Y chromosomes; and even the very rare circumstance of between X chromosomes and between Y chromosomes. The differences in assessing risk, according to chromosome form, in comparison with the autosomal translocation, are reviewed, and the biology behind these differences is discussed.

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48

Holliday, Kate L., Wendy Thomson, and John McBeth. Genetics of chronic musculoskeletal pain. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199642489.003.0045.

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Chronic pain disorders are prevalent and a large burden on health care resources. Around 10% of the general population report chronic widespread pain, which is the defining feature of fibromyalgia. Fibromyalgia is a poorly understood idiopathic disorder which is also characterized by widespread tenderness and commonly occurs with comorbid mood disorders, fatigue, sleep disturbance, and cognitive dysfunction. A role for genetics in chronic pain disorders has been identified by twin studies, with heritability estimates of around 50%. Susceptibility genes for chronic pain are likely to be involved in pain processing or the psychological component of these disorders. A number of genes have been implicated in influencing how pain is perceived due to mutations causing monogenic pain disorders or an insensitivity to pain from birth. The role of common variation, however, is less well known. The findings from human candidate gene studies of musculoskeletal pain to date are discussed. However, the scope of these studies has been relatively limited in comparison to other complex conditions. Identifying susceptibility loci will help to determine the biological mechanisms involved and potentially new therapeutic targets; however, this is a challenging research area due to the subjective nature of pain and heterogeneity in the phenotype. Using more quantitative phenotypes such as experimental pain measures may prove to be a more fruitful strategy to identify susceptibility loci. Findings from these studies and other potential approaches are discussed.

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49

Holliday, Kate L., Wendy Thomson, John McBeth, and Nisha Nair. Genetics of chronic musculoskeletal pain. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199642489.003.0045_update_001.

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Chronic pain disorders are prevalent and a large burden on health care resources. Around 10% of the general population report chronic widespread pain, which is the defining feature of fibromyalgia. Fibromyalgia is a poorly understood idiopathic disorder which is also characterized by widespread tenderness and commonly occurs with comorbid mood disorders, fatigue, sleep disturbance, and cognitive dysfunction. A role for genetics in chronic pain disorders has been identified by twin studies, with heritability estimates of around 50%. Susceptibility genes for chronic pain are likely to be involved in pain processing or the psychological component of these disorders. A number of genes have been implicated in influencing how pain is perceived due to mutations causing monogenic pain disorders or an insensitivity to pain from birth. The role of common variation, however, is less well known. The findings from human candidate gene studies of musculoskeletal pain to date are discussed. However, the scope of these studies has been relatively limited in comparison to other complex conditions. Identifying susceptibility loci will help to determine the biological mechanisms involved and potentially new therapeutic targets; however, this is a challenging research area due to the subjective nature of pain and heterogeneity in the phenotype. Using more quantitative phenotypes such as experimental pain measures may prove to be a more fruitful strategy to identify susceptibility loci. Findings from these studies and other potential approaches are discussed.

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Postma, Alex V., David Sedmera, Frantisek Vostarek, Vincent M. Christoffels, and Connie R. Bezzina. Developmental aspects of cardiac arrhythmias. Edited by José Maria Pérez-Pomares, Robert G. Kelly, Maurice van den Hoff, José Luis de la Pompa, David Sedmera, Cristina Basso, and Deborah Henderson. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198757269.003.0027.

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The rhythmic and synchronized contraction of atria and ventricles is essential for efficient pumping of blood throughout the body. This process relies on the proper generation and conduction of the cardiac electrical impulse. Electrophysiological properties differ in various regions of the heart, revealing intrinsic heterogeneities rooted, at least in part, in regional differences in expression of ion channel and gap junction subunit genes. A causal relation between transcription factors and such regionalized gene expression has been established. Abnormal cardiac electrical function and arrhythmias in the postnatal heart may stem from a developmental changes in gene regulation. Genome-wide association studies have provided strong evidence that common genetic variation at developmental gene loci modulates electrocardiographic indices of conduction and repolarization and susceptibility to arrhythmia. Functional aspects are illustrated by description of selected prenatally occurring arrhythmias and their possible mechanisms. We also discuss recent findings and provide background insight into these complex mechanisms.

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Books on the topic 'Genetic loci'

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