An Assessment of “Hidden” Heterogeneity Within Electromorphs at Three Enzyme Loci in Deer Mice
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Enthusiasm Mixed with Scepticism About Single-Nucleotide Polymorphism Markers for Dissecting Complex Disorders
European Journal of Human Genetics (1999) 7, 98–101 t © 1999 Stockton Press All rights reserved 1018–4813/99 $12.00 http://www.stockton-press.co.uk/ejhg MEETING REPORT First International SNP Meeting at Skokloster, Sweden, August 1998 Enthusiasm mixed with scepticism about single-nucleotide polymorphism markers for dissecting complex disorders Ann-Christine Syv˚anen1, Ulf Landegren2, Anders Isaksson2, Ulf Gyllensten2 and Anthony Brookes2 1Department of Medical Sciences; 2Department of Genetics and Pathology; Uppsala University, Uppsala, Sweden Single nucleotide polymorphisms (SNP) are frequent in number of participants, created a relaxed atmosphere our genomes, occurring on average once every thou- that stimulated many informal scientific discussions. sand nucleotides. They are useful as genetic markers Following an introductory lecture from Gert-Jan van because SNPs evolve slowly and because they can be Ommen (Leiden, NL), President of HUGO, there was scored by technically simple methods. Moreover, a a lively discussion on the role of HUGO in the genome great deal of the functional variation that explains project, revolving around its part in linking the diverse human diversity probably results from SNPs. In recent activities in the field, ranging from facilitating mapping years, SNP-based strategies to explain common disease and mutation analysis to nomenclature supervision, have received enormous attention from the scientific providing guidance in genome diversity and population community as well as from pharmaceutical and bio- studies and more generally in the ethical and intellec- technology companies. The enthusiasm stems largely tual property areas. During the two and a half days of from the hope that large-scale association studies using the meeting advances in technology for discovering and SNPs will help identify genes that contribute to scoring SNPs, SNP-based approaches to dissect com- common disorders with complex genetic causation, and plex diseases and the utility of SNPs in the study of allow formulation of improved therapeutic drugs. -
Understanding Rare and Common Diseases in the Context of Human Evolution Lluis Quintana-Murci1,2,3
Quintana-Murci Genome Biology (2016) 17:225 DOI 10.1186/s13059-016-1093-y REVIEW Open Access Understanding rare and common diseases in the context of human evolution Lluis Quintana-Murci1,2,3 Abstract (e.g., migration, admixture, and changes in population size), and natural selection. The wealth of available genetic information is allowing The plethora of genetic information generated in the the reconstruction of human demographic and adaptive last ten years, thanks largely to the publication of se- history. Demography and purifying selection affect the quencing datasets for both modern human populations purge of rare, deleterious mutations from the human and ancient DNA samples [14–18], is making it possible population, whereas positive and balancing selection to reconstruct the genetic history of our species, and to can increase the frequency of advantageous variants, define the parameters characterizing human demographic improving survival and reproductioninspecific history: expansion out of Africa, the loss of genetic diversity environmental conditions. In this review, I discuss with increasing distance from Africa (i.e., the “serial founder how theoretical and empirical population genetics effect”), demographic expansions over different time scales, studies, using both modern and ancient DNA data, and admixture with ancient hominins [16–21]. These stud- are a powerful tool for obtaining new insight into ies are also revealing the extent to which selection has acted the genetic basis of severe disorders and complex on the human genome, providing insight into the way in disease phenotypes, rare and common, focusing which selection removes deleterious variation and the po- particularly on infectious disease risk. tential of human populations to adapt to the broad range of climatic, nutritional, and pathogenic environments they have occupied [22–28]. -
A Bayesian Method for Detecting and Characterizing Allelic Heterogeneity and Boosting Signals in Genome-Wide Association Studies
Statistical Science 2009, Vol. 24, No. 4, 430–450 DOI: 10.1214/09-STS311 c Institute of Mathematical Statistics, 2009 A Bayesian Method for Detecting and Characterizing Allelic Heterogeneity and Boosting Signals in Genome-Wide Association Studies Zhan Su, Niall Cardin , the Wellcome Trust Case Control Consortium, Peter Donnelly and Jonathan Marchini Abstract. The standard paradigm for the analysis of genome-wide as- sociation studies involves carrying out association tests at both typed and imputed SNPs. These methods will not be optimal for detecting the signal of association at SNPs that are not currently known or in regions where allelic heterogeneity occurs. We propose a novel associa- tion test, complementary to the SNP-based approaches, that attempts to extract further signals of association by explicitly modeling and es- timating both unknown SNPs and allelic heterogeneity at a locus. At each site we estimate the genealogy of the case-control sample by tak- ing advantage of the HapMap haplotypes across the genome. Allelic heterogeneity is modeled by allowing more than one mutation on the branches of the genealogy. Our use of Bayesian methods allows us to as- sess directly the evidence for a causative SNP not well correlated with known SNPs and for allelic heterogeneity at each locus. Using simu- lated data and real data from the WTCCC project, we show that our method (i) produces a significant boost in signal and accurately identi- fies the form of the allelic heterogeneity in regions where it is known to exist, (ii) can suggest new signals that are not found by testing typed or imputed SNPs and (iii) can provide more accurate estimates of effect sizes in regions of association. -
Population Genetics Models of Common Diseases Anna Di Rienzo
Population genetics models of common diseases Anna Di Rienzo The number and frequency of susceptibility alleles for common This is because the relevant fitness effects are those that diseases are important factors to consider in the efficient acted in ancestral human populations, whereas clinical design of disease association studies. These quantities are the phenotypes are assessed in contemporary populations. results of the joint effects of mutation, genetic drift and In addition, clinical severity does not necessarily imply selection. Hence, population genetics models, informed by effects on reproduction, viability and survival, especially empirical knowledge about patterns of disease variation, can for diseases with late age of onset. be used to make predictions about the allelic architecture of common disease susceptibility and to gain an overall Disease mapping strategies rely — implicitly or explicitly understanding about the evolutionary origins of such diseases. — on population genetics quantities, such as allelic Equilibrium models and empirical studies suggest a role for heterogeneity, allele frequency spectrum and inter-eth- both rare and common variants. In addition, increasing nic differentiation; for example, standard association evidence points to changes in selective pressures on methods are most powerful for detecting common sus- susceptibility genes for common diseases; these findings are ceptibility variants with limited heterogeneity. Likewise, likely to form the basis for further modeling studies. the evidence for association is most likely to be replicated in additional populations if the susceptibility variants are Addresses Department of Human Genetics, University of Chicago, Chicago, the same and similarly common across populations. IL 60637, USA Because these quantities are functions of the underlying population genetics model, modeling studies might help Corresponding author: Di Rienzo, Anna to optimize disease-mapping strategies to the outcomes of ([email protected]) specific evolutionary scenarios. -
The Population Genomics of Adaptive Loss of Function
Heredity (2021) 126:383–395 https://doi.org/10.1038/s41437-021-00403-2 REVIEW ARTICLE The population genomics of adaptive loss of function 1,2 3 1 4,5 J. Grey Monroe ● John K. McKay ● Detlef Weigel ● Pádraic J. Flood Received: 24 September 2020 / Revised: 28 December 2020 / Accepted: 1 January 2021 / Published online: 11 February 2021 © The Author(s) 2021. This article is published with open access Abstract Discoveries of adaptive gene knockouts and widespread losses of complete genes have in recent years led to a major rethink of the early view that loss-of-function alleles are almost always deleterious. Today, surveys of population genomic diversity are revealing extensive loss-of-function and gene content variation, yet the adaptive significance of much of this variation remains unknown. Here we examine the evolutionary dynamics of adaptive loss of function through the lens of population genomics and consider the challenges and opportunities of studying adaptive loss-of-function alleles using population genetics models. We discuss how the theoretically expected existence of allelic heterogeneity, defined as multiple functionally analogous mutations at the same locus, has proven consistent with empirical evidence and why this impedes both the detection of selection and causal relationships with phenotypes. We then review technical progress towards new functionally explicit population genomic tools and genotype-phenotype methods to overcome these limitations. More 1234567890();,: 1234567890();,: broadly, we discuss how the challenges of studying adaptive loss of function highlight the value of classifying genomic variation in a way consistent with the functional concept of an allele from classical population genetics. -
Extreme Allelic Heterogeneity at a Caenorhabditis Elegans Beta-Tubulin Locus Explains Natural Resistance to Benzimidazoles
bioRxiv preprint doi: https://doi.org/10.1101/372623; this version posted July 19, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. 1 Extreme allelic heterogeneity at a Caenorhabditis elegans beta-tubulin locus 2 explains natural resistance to benzimidazoles 3 4 Steffen R. Hahnel⧺ ,1, Stefan Zdraljevic⧺ ,1,2, Briana C. Rodriguez1, Yuehui Zhao3, Patrick T. McGrath3, and 5 Erik C. Andersen1,2,4 * 6 7 1. DepartMent of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA 8 2. Interdisciplinary Biological Sciences Program, Northwestern University, Evanston, IL 60208, USA 9 3. School of Biology, Georgia Institute of Technology, Atlanta, Georgia 30332 10 4. Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL 60611, USA 11 ⧺ Equal contribution 12 * Corresponding author 13 14 15 Erik C. Andersen 16 Assistant Professor of Molecular Biosciences 17 Northwestern University 18 Evanston, IL 60208, USA 19 Tel: (847) 467-4382 20 Fax: (847) 491-4461 21 Email: [email protected] 22 23 24 25 26 Steffen R. Hahnel, [email protected], ORCID 0000-0001-8848-0691 27 Stefan Zdraljevic, [email protected], ORCID 0000-0003-2883-4616 28 Briana C. Rodriguez, [email protected] 29 Yuehui Zhao, [email protected] 30 Patrick T. McGrath, [email protected], ORCID 0000-0002-1598-3746 31 Erik C. Andersen, [email protected], ORCID 0000-0003-0229-9651 1 of 52 bioRxiv preprint doi: https://doi.org/10.1101/372623; this version posted July 19, 2018.