Association mapping of morphological traits in wild and captive zebra finches: reliable within, but not between populations
暂无分享,去创建一个
B. Kempenaers | H. Ellegren | N. Backström | A. Franke | H. Schielzeth | S. Griffith | W. Forstmeier | M. Wittig | G. Hemmrich-Stanisak | U. Knief
[1] B. Kempenaers,et al. Fitness consequences of polymorphic inversions in the zebra finch genome , 2016, Genome Biology.
[2] J. Wolf,et al. Disruptive selection without genome‐wide evolution across a migratory divide , 2016, Molecular ecology.
[3] H. Ellegren,et al. Whole‐genome resequencing of extreme phenotypes in collared flycatchers highlights the difficulty of detecting quantitative trait loci in natural populations , 2016, Molecular ecology resources.
[4] J. Slate,et al. Replicated analysis of the genetic architecture of quantitative traits in two wild great tit populations , 2015, Molecular ecology.
[5] Judy H. Cho,et al. Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations , 2015, Nature Genetics.
[6] Gil McVean,et al. Stable recombination hotspots in birds , 2015, Science.
[7] H. Ellegren,et al. Genome-wide association mapping in a wild avian population identifies a link between genetic and phenotypic variation in a life-history trait , 2015, Proceedings of the Royal Society B: Biological Sciences.
[8] J. Pemberton,et al. Heterogeneity of genetic architecture of body size traits in a free‐living population , 2015, Molecular ecology.
[9] C. Jiggins,et al. Towards the identification of the loci of adaptive evolution , 2015, Methods in ecology and evolution.
[10] B. Kempenaers,et al. Quantifying realized inbreeding in wild and captive animal populations , 2015, Heredity.
[11] D. Gianola,et al. Genomic Heritability: What Is It? , 2014, PLoS genetics.
[12] D. Balding,et al. Relatedness in the post-genomic era: is it still useful? , 2014, Nature Reviews Genetics.
[13] Heather J. Cordell,et al. Comparison of Methods to Account for Relatedness in Genome-Wide Association Studies with Family-Based Data , 2014, PLoS genetics.
[14] H. Schielzeth,et al. Challenges and prospects in genome‐wide quantitative trait loci mapping of standing genetic variation in natural populations , 2014, Annals of the New York Academy of Sciences.
[15] Shaun M. Purcell,et al. Statistical power and significance testing in large-scale genetic studies , 2014, Nature Reviews Genetics.
[16] S. Kerje,et al. The role of pleiotropy and linkage in genes affecting a sexual ornament and bone allocation in the chicken , 2014, Molecular ecology.
[17] J. Slate,et al. Molecular quantitative genetics , 2014 .
[18] Peter M Visscher,et al. Explaining additional genetic variation in complex traits. , 2014, Trends in genetics : TIG.
[19] P. Visscher,et al. Advantages and pitfalls in the application of mixed-model association methods , 2014, Nature Genetics.
[20] Peggy Hall,et al. The NHGRI GWAS Catalog, a curated resource of SNP-trait associations , 2013, Nucleic Acids Res..
[21] K. Lohmueller. The Impact of Population Demography and Selection on the Genetic Architecture of Complex Traits , 2013, PLoS genetics.
[22] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[23] Robert L. Wolpert,et al. Statistical Inference , 2019, Encyclopedia of Social Network Analysis and Mining.
[24] T. Clutton‐Brock,et al. Life history trade-offs at a single locus maintain sexually selected genetic variation , 2013, Nature.
[25] J. Slate,et al. Partitioning of genetic variation across the genome using multimarker methods in a wild bird population , 2013, Molecular ecology.
[26] J. Slate. FROM BEAVIS TO BEAK COLOR: A SIMULATION STUDY TO EXAMINE HOW MUCH QTL MAPPING CAN REVEAL ABOUT THE GENETIC ARCHITECTURE OF QUANTITATIVE TRAITS , 2013, Evolution; international journal of organic evolution.
[27] David Levine,et al. GWASTools: an R/Bioconductor package for quality control and analysis of genome-wide association studies , 2012, Bioinform..
[28] David Levine,et al. A high-performance computing toolset for relatedness and principal component analysis of SNP data , 2012, Bioinform..
[29] M. Wolak. nadiv : an R package to create relatedness matrices for estimating non‐additive genetic variances in animal models , 2012 .
[30] B. Kempenaers,et al. QTL and quantitative genetic analysis of beak morphology reveals patterns of standing genetic variation in an Estrildid finch , 2012, Molecular ecology.
[31] S. Griffith,et al. Conspecific attraction and nest site selection in a nomadic species, the zebra finch , 2012 .
[32] Eleazar Eskin,et al. Improved linear mixed models for genome-wide association studies , 2012, Nature Methods.
[33] B. Kempenaers,et al. QTL linkage mapping of wing length in zebra finch using genome‐wide single nucleotide polymorphisms markers , 2012, Molecular ecology.
[34] B. Kempenaers,et al. QTL LINKAGE MAPPING OF ZEBRA FINCH BEAK COLOR SHOWS AN OLIGOGENIC CONTROL OF A SEXUALLY SELECTED TRAIT , 2012, Evolution; international journal of organic evolution.
[35] M. Rockman. THE QTN PROGRAM AND THE ALLELES THAT MATTER FOR EVOLUTION: ALL THAT'S GOLD DOES NOT GLITTER , 2012, Evolution; international journal of organic evolution.
[36] Wolfgang Forstmeier,et al. Women have Relatively Larger Brains than Men: A Comment on the Misuse of General Linear Models in the Study of Sexual Dimorphism , 2011, Anatomical record.
[37] J. Slate,et al. Genome‐wide association mapping identifies the genetic basis of discrete and quantitative variation in sexual weaponry in a wild sheep population , 2011, Molecular ecology.
[38] M. Morgante,et al. Nucleotide diversity and linkage disequilibrium in Populus nigra cinnamyl alcohol dehydrogenase (CAD4) gene , 2011, Tree Genetics & Genomes.
[39] B. Kempenaers,et al. A polymorphism in the oestrogen receptor gene explains covariance between digit ratio and mating behaviour , 2010, Proceedings of the Royal Society B: Biological Sciences.
[40] M. DePristo,et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. , 2010, Genome research.
[41] P. Visscher,et al. Common SNPs explain a large proportion of heritability for human height , 2011 .
[42] Nilanjan Chatterjee,et al. Estimation of effect size distribution from genome-wide association studies and implications for future discoveries , 2010, Nature Genetics.
[43] J. Slate,et al. Genome mapping in intensively studied wild vertebrate populations. , 2010, Trends in genetics : TIG.
[44] Albert J. Vilella,et al. The genome of a songbird , 2010, Nature.
[45] B. Kempenaers,et al. The recombination landscape of the zebra finch Taeniopygia guttata genome. , 2010, Genome research.
[46] Andreas Ziegler,et al. A Statistical Approach to Genetic Epidemiology: With Access to E-Learning Platform by Friedrich Pahlke , 2010 .
[47] H. Schielzeth. Simple means to improve the interpretability of regression coefficients , 2010 .
[48] D Gianola,et al. Technical note: an R package for fitting generalized linear mixed models in animal breeding. , 2010, Journal of animal science.
[49] Erik Matthysen,et al. Association between DRD4 gene polymorphism and personality variation in great tits: a test across four wild populations , 2010, Molecular ecology.
[50] A. McRae,et al. Horn type and horn length genes map to the same chromosomal region in Soay sheep , 2010, Heredity.
[51] Aaron R. Quinlan,et al. Bioinformatics Applications Note Genome Analysis Bedtools: a Flexible Suite of Utilities for Comparing Genomic Features , 2022 .
[52] Peter Kraft,et al. Replication in genome-wide association studies. , 2009, Statistical science : a review journal of the Institute of Mathematical Statistics.
[53] Vivian G. Cheung,et al. Genetics of human gene expression: mapping DNA variants that influence gene expression , 2009, Nature Reviews Genetics.
[54] E. Stone,et al. The genetics of quantitative traits: challenges and prospects , 2009, Nature Reviews Genetics.
[55] Jules Hernández-Sánchez,et al. A web application to perform linkage disequilibrium and linkage analyses on a computational grid , 2009, Bioinform..
[56] Richard Durbin,et al. Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .
[57] Jonathan Flint,et al. Genetic architecture of quantitative traits in mice, flies, and humans. , 2009, Genome research.
[58] S. Edwards,et al. Nucleotide Variation, Linkage Disequilibrium and Founder-Facilitated Speciation in Wild Populations of the Zebra Finch (Taeniopygia guttata) , 2009, Genetics.
[59] Liuda Ziaugra,et al. SNP Genotyping Using the Sequenom MassARRAY iPLEX Platform , 2009, Current protocols in human genetics.
[60] J. Slate,et al. Gene mapping in the wild with SNPs: guidelines and future directions , 2009, Genetica.
[61] A. Ziegler,et al. A Genotype-Based Approach to Assessing the Association between Single Nucleotide Polymorphisms , 2008, Human Heredity.
[62] S. Griffith,et al. Use of nest-boxes by the Zebra Finch (Taeniopygia guttata): implications for reproductive success and research , 2008 .
[63] P. VanRaden,et al. Efficient methods to compute genomic predictions. , 2008, Journal of dairy science.
[64] David L Stern,et al. The Loci of Evolution: How Predictable is Genetic Evolution? , 2008, Evolution; international journal of organic evolution.
[65] Eden R Martin,et al. A multiple testing correction method for genetic association studies using correlated single nucleotide polymorphisms , 2008, Genetic epidemiology.
[66] J. Slate,et al. A Linkage Map of the Zebra Finch Taeniopygia guttata Provides New Insights Into Avian Genome Evolution , 2008, Genetics.
[67] W. G. Hill,et al. Heritability in the genomics era — concepts and misconceptions , 2008, Nature Reviews Genetics.
[68] D. Heckerman,et al. Efficient Control of Population Structure in Model Organism Association Mapping , 2008, Genetics.
[69] Shuhong Zhao,et al. Candidate Gene Identification Approach: Progress and Challenges , 2007, International journal of biological sciences.
[70] B. Kempenaers,et al. Genetic variation and differentiation in captive and wild zebra finches (Taeniopygia guttata) , 2007, Molecular ecology.
[71] H. Schielzeth,et al. Intrasexual competition in zebra finches, the role of beak colour and body size , 2007, Animal Behaviour.
[72] J. Haines,et al. SNPs in Multi-Species Conserved Sequences (MCS) as useful markers in association studies: a practical approach , 2007, BMC Genomics.
[73] P. Donnelly,et al. Replicating genotype–phenotype associations , 2007, Nature.
[74] Simon C. Potter,et al. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls , 2007, Nature.
[75] Kees van Oers,et al. Drd4 gene polymorphisms are associated with personality variation in a passerine bird , 2007, Proceedings of the Royal Society B: Biological Sciences.
[76] D. Balding. A tutorial on statistical methods for population association studies , 2006, Nature Reviews Genetics.
[77] I. König,et al. A Statistical Approach to Genetic Epidemiology: Concepts and Applications , 2006 .
[78] W. Forstmeier. Quantitative genetics and behavioural correlates of digit ratio in the zebra finch , 2005, Proceedings of the Royal Society B: Biological Sciences.
[79] R W Doerge,et al. Biased estimators of quantitative trait locus heritability and location in interval mapping , 2005, Heredity.
[80] J. Slate,et al. INVITED REVIEW: Quantitative trait locus mapping in natural populations: progress, caveats and future directions , 2004, Molecular ecology.
[81] Colin N. Dewey,et al. Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution , 2004, Nature.
[82] Dmitri V Zaykin,et al. Bounds and normalization of the composite linkage disequilibrium coefficient , 2004, Genetic epidemiology.
[83] M. Feder,et al. Evolutionary and ecological functional genomics , 2003, Nature Reviews Genetics.
[84] D Bentley,et al. Highly parallel SNP genotyping. , 2003, Cold Spring Harbor symposia on quantitative biology.
[85] J. Nadeau,et al. Finding Genes That Underlie Complex Traits , 2002, Science.
[86] R. Myers,et al. Candidate-gene approaches for studying complex genetic traits: practical considerations , 2002, Nature Reviews Genetics.
[87] B. Grant,et al. Unpredictable Evolution in a 30-Year Study of Darwin's Finches , 2002, Science.
[88] W. J. Kent,et al. BLAT--the BLAST-like alignment tool. , 2002, Genome research.
[89] Jeffrey Ross-Ibarra,et al. Genetic Data Analysis II. Methods for Discrete Population Genentic Data , 2002 .
[90] L. Kruglyak,et al. Patterns of linkage disequilibrium in the human genome , 2002, Nature Reviews Genetics.
[91] Robin Thompson,et al. ASREML user guide release 1.0 , 2002 .
[92] J Blangero,et al. Large upward bias in estimation of locus-specific effects from genomewide scans. , 2001, American journal of human genetics.
[93] T. Mackay. The genetic architecture of quantitative traits. , 2001, Annual review of genetics.
[94] E S Buckler,et al. Structure of linkage disequilibrium and phenotypic associations in the maize genome , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[95] J. Pritchard,et al. Linkage disequilibrium in humans: models and data. , 2001, American journal of human genetics.
[96] L. Cardon,et al. Association study designs for complex diseases , 2001, Nature Reviews Genetics.
[97] B. Sheldon,et al. Avian Quantitative Genetics , 2001 .
[98] Kenneth Lange,et al. Use of population isolates for mapping complex traits , 2000, Nature Reviews Genetics.
[99] P M Visscher,et al. Mapping quantitative trait loci in complex pedigrees: a two-step variance component approach. , 2000, Genetics.
[100] F. Pirchner. Genetics and Analysis of Quantitative Traits. , 2000 .
[101] K. Roeder,et al. Genomic Control for Association Studies , 1999, Biometrics.
[102] W. Ewens. Genetics and analysis of quantitative traits , 1999 .
[103] L. Kruglyak. Prospects for whole-genome linkage disequilibrium mapping of common disease genes , 1999, Nature Genetics.
[104] J R O'Connell,et al. PedCheck: a program for identification of genotype incompatibilities in linkage analysis. , 1998, American journal of human genetics.
[105] R. Zann. The Zebra Finch: A Synthesis of Field and Laboratory Studies , 1996 .
[106] J. Witte,et al. Genetic dissection of complex traits , 1996, Nature Genetics.
[107] J. Witte,et al. Genetic dissection of complex traits. , 1994, Nature genetics.
[108] E. Lander,et al. Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results , 1995, Nature Genetics.
[109] R. Abramson,et al. Detection of specific polymerase chain reaction product by utilizing the 5'----3' exonuclease activity of Thermus aquaticus DNA polymerase. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[110] B S Weir,et al. Variances and covariances of squared linkage disequilibria in finite populations. , 1988, Theoretical population biology.
[111] K. Liang,et al. Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests under Nonstandard Conditions , 1987 .
[112] W. G. Hill,et al. Nonuniform recombination within the human beta-globin gene cluster. , 1986, American journal of human genetics.
[113] W. D. Stirling,et al. Enhancements to Aid Interpretation of Probability Plots , 1982 .
[114] B. Weir. Inferences about linkage disequilibrium. , 1979, Biometrics.
[115] H. Grüneberg,et al. Introduction to quantitative genetics , 1960 .