- Week 1
- Week 2
- Session 1 Nov 3rd
- Session 2 Nov 3rd
- Session 3 Nov 3rd
- Session 4 Nov 4th
- Session 5 Nov 4th
- Session 6 Nov 4th
- Session 7 Nov 5th
- Session 8 Nov 5th
- Session 9 Nov 5th
- Session 10 Nov 6th
- Session 11 Nov 6th
- Session 12 Nov 6th
07:00 AM - 07:05 AMIntroduction to Session By Naomi Wray, Ben Hayes & Mark BlowsUniversity of Queensland, Australia
07:05 AM - 07:40 AMQuantitative genetics, past, present & future: views from the authors of Lynch & Walsh and Walsh & Lynch By Bruce WalshArizona, USA
07:40 AM - 08:20 AMQuantitative Genetics Isn’t Dead Yet By Peter VisscherUniversity of Queensland, Australia
08:20 AM - 08:40 AMPanel discussion By Bruce Walsh, Michael Lynch, Naomi Wray, Ben Hayes, Mark Blows & Peter Visscher
12:00 PM - 12:35 PMThe Genetic Architecture of Drosophila Lifespan By Trudy MackayClemson University, South Carolina, USA
12:35 PM - 01:10 PMEstimation of realized rates of genetic gain for breeding program assessment: Insights from rice research at IRRI By Jessica RutkoskiUniversity of Illinois at Urbana-Champaign, USA
01:10 PM - 01:25 PMThe role of cross-sex genetic covariances in the evolution of sexual dimorphism among species By Jacqueline SztepanaczUniversity of Toronto, Canada
07:00 PM - 07:35 PMCrowdsourcing genetic data. A look from the outside and inside. By Yaniv ErlichMyHeritage, Israel
Sponsored by 
07:35 PM - 08:10 PMAdaptation and quantitative trait evolution in an urban context By Anne CharmantierCNRS, Montpelier, France
08:10 PM - 08:25 PMPolyOrigin: Haplotype Reconstruction in Tetraploid Multiparent Populations By Chaozhi ZhengWageningen, The Netherlands
07:00 AM - 07:35 AMImpact of omics on the genetic improvement of Zebu cattle in the tropics By Lucia AlburqueueSão Paulo State University, Brazil
07:35 AM - 08:10 AMTransferability of polygenic risk scores across diverse populations By Eimear KennyIcahn Mt Sinai, USA
08:10 AM - 08:25 AMPredicting the Accuracy of Genomic Predictions By Jack DekkersIowa State University, USA
12:00 PM - 12:15 PMPolygenic Risk Scores in Humans – What are they Good For? By Greg GibsonGeorgia Tech, USA
12:15 PM - 12:30 PMGenome-wide association study identifies tissue-specific regulation of human protein N-glycosylation By Sodbo SharapovNovosibirsk State University, Russia
12:30 PM - 12:45 PMGenomic mate selection for clonal crops: improving the chance of breeding top ranking clones by predicted variance in total merit By Marnin WolfeCornell University, USA
12:45 PM - 01:00 PMA mate allocation program for mass spawning species By Cecile MassaultJames Cook University, Australia
07:00 PM - 07:15 PMImproved heritability models improve our ability to analyze complex traits. By Doug SpeedAarhus University, Denmark
07:15 PM - 07:30 PMGenomic prediction using a multi-breed reference data of purebred and admixed populations By Emre KaramanAarhus University, Denmark
07:30 PM - 07:45 PMGenomic and temporal analysis of genetic covariation between traits By Gregor GorjancUniversity of Edinburgh, UK
07:45 PM - 08:00 PMFstSeg: an efficient multiple changepoint procedure/algorithm for the detection of local signatures of selection By Tristan Mary-HuardINRA, Paris, France
08:00 PM - 08:15 PMMulti-trait analysis with Bayesian models instructed by functional priors identify informative markers that predict traits across populations and countries By Ruidong XiangAgriculture Victoria, Australia
08:15 PM - 08:25 PMMeet the Editor: Genetics & G3 – Genes|Genomes|Genetics By DJ De KoningEditor for G3 and GENETICS
07:00 AM - 07:35 AMQuantitative genetics of the genotype-phenotype Map By David HouleFlorida State University USA
07:35 AM - 08:10 AMTurbocharging Fruit Tree Breeding By Satish KumarPlant and Food Research, NZ
Sponsored by
08:10 AM - 08:25 AMTracking the tempo and target of natural/artificial selection in a thousand mice and butterflies by haplotype tagging and sequencing By Frank ChanMax Planck Society, Germany
12:00 PM - 12:15 PMGenetic correlation between two populations can be predicted from the FST between the populations and the non-additive genetic variance By Michael GoddardAgriculture Victoria, Australia
12:15 PM - 12:30 PMCross-population fine-mapping of complex traits and diseases in ~675,000 individuals across three global biobanks By Masahiro KanaiBroad Institute of MIT and Harvard, USA
12:30 PM - 12:45 PMPartitioning risk for complex diseases by race and genetic ancestry By Ky'Era ActkinsMeharry Medical College, Tennessee, USA
12:45 PM - 01:00 PMFamily-Based GWAS of Educational Attainment By Alexander YoungUniversity of Southern California, USA
07:00 PM - 07:15 PMHow fast are wild animals currently adapting? By Timothée BonnetAustralian National University, Canberra, Australia
07:15 PM - 07:30 PMEstimating maternal and paternal genetic effects on offspring phenotypes in large scale cohorts when parental genotypes are unavailable By David EvansUniversity of Queensland, Australia
09:30 PM - 09:45 PMGenomic architecture of 184 plasma proteins in 18,884 individuals: the SCALLOP Consortium By Erin Macdonald-DunlopUniversity of Edinburgh, UK
07:45 PM - 08:00 PMGenotype-by-environment interactions among Scots pine vitality and growth traits, in harsh and mild environments in Northern Scandinavia By Ainhoa Calleja-RodriguezSkogforsk (the Forestry Research Institute Of Sweden), Sweden
08:00 PM - 08:15 PMPhenotypic covariance across the entire spectrum of relatedness for 88 billiion pairs of individuals By Kathryn E KemperUniversity of Queensland, Australia
08:15 PM - 08:30 PMSex difference in genetic correlations and its implication on causality By Xia ShenUniversity of Edinburgh, UK
07:00 AM - 07:15 AMPredicting Phenotype: Modeling Approaches Within The GxE Space By Jacob WashburnUSDA Missouri, USA
07:15 AM - 07:30 AMPopulation genetics of transposable elements in the maize Wisconsin diversity panel By Christine O’ConnorUniversity of Minnesota, USA
07:30 AM - 07:45 AMModelling GxE in High Throughput Phenotyping data from crop variety trials By Joanne De FaveriCSIRO Data61, QLD, Australia
07:45 AM - 08:00 AMQTL mapping in autotetraploid multi-parent populations By Rodrigo AmadeuUniversity of Florida, USA
08:00 AM - 08:15 AMImproving genomic prediction of target hybrids in unobserved environments using geospatial assessment of predictive analytics derived from machine learning techniques By Diego JarquinUniversity of Nebraska-Lincoln, USA
08:15 AM - 08:30 AMA statistical framework to incorporate high-throughput proxy phenotypes in genomic predictions for wheat breeding By Lee HickeyUniversity of Queensland, Australia
12:00 PM - 12:15 PMFast Parallelized Sampling of Bayesian Linear Mixed Models for Whole-genome Prediction By Hao ChengUniversity of California Davis, USA
12:15 PM - 12:30 PMPopulation scale single cell eQTL mapping identifies cell type specific control of disease By Joseph PowellSydney, Australia
12:30 PM - 12:45 PMA novel linear mixed model approach for multi-omics data By S. Hong LeeUniversity of South Australia, Australia
12:45 PM - 01:00 PMMetagenomics for selection of environmentally friendly ruminants By Melanie HessAgResearch Otago, NZ
07:00 PM - 07:15 PMCan dominance genetic variance be ignored in evolutionary quantitative genetic analyses of wild populations? By Barbara ClassUniversity of the Sunshine Coast, Australia
07:15 PM - 07:30 PMGenetic constraints persist through metamorphosis: RNA seq reveals major pleiotropy within and between life stages By Julie ColletCEFE, CNRS, Montpelier, France
07:30 PM - 07:45 PMThe interaction of quantitative genetics and changing environment on a wild bird population By Loeske KruukAustralian National University, Canberra, Australia
07:45 PM - 08:00 PMGenome-wide chromatin accessibility and transcriptome profiling during onset of maturation in Atlantic salmon By Amin MohamedGEOMAR Helmholtz Centre for Ocean Research, Germany
08:00 PM - 08:15 PMDoes mutation explain standing genetic variation in complex phenotypes? By Robert DugandUniversity of Queensland, Australia
08:15 PM - 08:30 PMTriangulation of analysis strategies establishes relevant tissues and cell types for complex traits By Zhijian YangSun Yat-sen University, Guangzhou, China
- Session 13 Nov 9th
- Session 14 Nov 9th
- Session 15 Nov 9th
- Session 16 Nov 10th
- Session 17 Nov 10th
- Session 18 Nov 10th
- Session 19 Nov 11th
- Session 20 Nov 11th
- Session 21 Nov 11th
- Session 22 Nov 12th
- Session 23 Nov 12th
- Session 24 Nov 12th
- Session 25 Nov 13th
07:00 AM - 07:35 AMDoes epistasis matter? By Nick Barton Institute of Science and Technology, Austria
07:35 AM - 07:50 AMPhantom Epistasis in Genomic Selection: On the predictive ability of epistatic models By Matias F. SchraufUniversity of Buenos Aires, Argentina
07:50 AM - 08:05 AMThe impact of physiological non-additivity on variance components for complex traits By Kai Voss-FelsUniversity of Queensland, Australia
08:05 AM - 08:20 AMDifferential complex trait architecture across humans: epistasis identified in non-European populations at multiple genomic scales By Michael TurchinBrown University,USA
08:20 AM - 08:30 AMPanel Discussion By Nick Barton, Matias F. Schrauf, Kai Voss-Fels, Michael Turchin, Andy Clark, Mark Cooper & Trudy Mackay
12:00 PM - 12:35 PMDependencies within and among forensic match probabilities By Bruce WeirUniversity of Washington, USA
07:00 PM - 07:35 PMQuantitative genetics of environmental variance, uniformity and resilience in livestock animals By Han MulderWageningen University, The Netherlands
07:35 PM - 07:50 PMIncreased developmental density decreases the magnitude of indirect genetic effects exprssed during agonistic interactions By Chang HanKyunghee University, Seoul, Sth Korea
07:50 PM - 08:05 PMDynamics of secondary traits offer new possibilities for modelling genotype by environment interactions in focal traits By Fred van EeuwijkWageningen University, The Netherlands
08:05 PM - 08:20 PMExploiting methylation to measure genome-by-smoking interactions By Carmen AmadorUniversity of Edinburgh, UK
07:00 AM - 07:35 AMFrom pedigree to genomics based management of genetic diversity: how to measure and control genomic inbreeding in genomic selection schemes By Theo MeuwissenNorwegian University of Life Sciences, As, Norway
Sponsored by 
07:35 AM - 08:10 AMFrom Statistical Models to Biological Mechanisms of Human Mutation By Shamil SunyaevBrigham and Womens Hospital/ Harvard Medical School, Boston, USA
08:05 AM - 08:25 AMLeveraging mathematical optimization to drive short-term gains while maintaining long-term genetic variability in a plant breeding program By Nicholas SantantonioCornell University, NY, USA
12:00 PM - 12:35 PMUnderstanding the polygenic architecture and regulatory mechanisms of human complex traits By Jian YangWestlake University, Hangzhou, China
12:35 PM - 01:10 PMImplementation of Genomic Selection in the CIMMYT Global wheat program, learnings from the past 10 years By Susanne DreisigackerCIMMYT, Mexico
01:10 PM - 01:25 PMIndirect genetic effects on a broad range of biomedical phenotypes measured in laboratory mice and rats By Amelie BaudEuropean Bioinformatics Institute, Ca, USA
07:00 PM - 07:15 PMExtracellular vesicles with specific surface proteins are associated with waist circumference and visceral fat By Ranran ZhaiSun Yat-sen University, Guangzhou, China
07:15 PM - 07:30 PMDissecting genetic variation in gene expression at the single-cell resolution in Arabidopsis thaliana root tips By Adam ReddiexAustralian National University, Canberra, Australia
07:30 PM - 07:45 PMA genomic meta-analysis of 184 neuroproteins and their implied causality on psychiatric disorders By Linda RepettoUniversity of Edinburgh, UK
07:45 PM - 08:00 PMChromatin and epigenomic variation reveals the gene regulatory landscape of adaptive divergence in sticklebacks By Felicity JonesMax Planck Society, Tuebingen, Germany
08:00 PM - 08:15 PMWhole exome sequences reveal rare and common variants associated with 1102 plasma proteins By Lucija KlaricUniversity of Edinburgh, UK
08:15 PM - 08:30 PMGenomic prediction of complex phenotypes in livestock – potential applications and lessons to be learned from crops and model species By Henner SimianerUniversity of Goettingen, Germany
07:00 AM - 07:15 AMMatching Genetics to Environment Using Genomics: Synthesis of results from USDA-NIFA Food Security Grant on Local Adaptation in Beef Cattle By Jared DeckerUniversity of Missouri, USA
07:15 AM - 07:30 AMLifting the lid of the rumen: genomic solutions for sustainable livestock production By Suzanne RoweAgresearch, Dunedin, NZ
07:30 AM - 07:45 AMScanning the Angus genome for homozygosity deficient haplotypes By Duc LuAngus Genetics Inc., Missouri, USA
07:45 AM - 08:00 AMNon-additive effects in dairy cattle By Edwardo ReynoldsMassey University, NZ
08:00 AM - 08:15 AMEvaluating the accuracy of imputed whole-genome sequence data in admixed dairy cattle By Yu WangMassey University, New Zealand
08:15 AM - 08:30 AMTrait correlation and accuracy weighted selection index emphasis By Luna ZhangAbacusBio Ltd, Dunedin, NZ
12:00 PM - 12:15 PMComplex-Trait Prediction using Sparse Selection Indices By Gustavo de los CamposMichigan State University, USA
12:15 PM - 12:30 PMUsing information across tissues and genes to predict gene expression in Transcriptome-wide Association Studies By Fabio MorganteClemson University, South Carolina, USA
12:30 PM - 12:45 PMA statistical model for genomic predictions of high-dimensional traits By Daniel RuncieUniversity of California Davis, USA
07:00 PM - 07:15 PMPooled genotyping strategies for the rapid construction of genomic reference populations By Dr Pamela AlexandreCSIRO Agriculture and Food, Australia
07:15 PM - 07:30 PMIncreasing the accuracy of genomic prediction for crossbred livestock: examples from dairy cattle By Dr Iona MacleodAgriculture Victoria, Australia
07:30 PM - 07:45 PMGenomic analysis reveals new genes and causal mutations for the environmental variance of litter size in rabbits By Cristina Casto RebolloInstitute for Animal Science and Technology, Valencia, Spain
07:45 PM - 08:00 PMGenetic parameter for variability of milk production in cattle as indicator of environmental sensitivity By Enrico MancinUniversity of Padova, Italy
08:00 PM - 08:15 PMEnvironmental influences on the effects of new mutations By Katrina McGuiganUniversity of Queensland, Australia
08:15 PM - 08:30 PMEstimating mutation rate and characterising de novo mutations in pigs By Christina RochusWageningen University, The Netherlands
07:00 AM - 07:35 AMInherited genetic variation, acquired mutations and clonal selection By Steve McCarrollHarvard University, USA
07:35 AM - 08:10 AMMulti-trait evolution in the presence of social interactions By Jarrod HadfieldUniveristy of Edinburgh, UK
08:10 AM - 08:25 AMSimultaneous quantification of mRNA and protein in single cells reveals trans-acting genetic variation in gene expression By Frank AlbertUniversity of Minnesota, USA
12:00 PM - 12:35 PMFuture application of genomics in the poultry industry By Rachel HawkenCobb - Vantress, Arkansas, USA
Sponsored by 
12:35 PM - 01:10 PMHow can biology and breeding contribute to improving food systems and climate change? By Ed BucklerUSDA, NY, USA
01:10 PM - 01:25 PMThe Open Chromatin Regulation of Complex Traits By Nathaniel W. Ellis University of Florida, USA
07:00 PM - 07:35 PMDetecting the functional consequences of human genetic variation using high-throughput differentiation of human induced pluripotent stem cells By Dan GaffneyWellcome Sanger Institute, Cambridge, UK
07:35 PM - 08:10 PMEvidence of horizontal indirect genetic effects in humans By Albert TenesaUniversity of Edinburgh, UK
08:10 PM - 08:25 PMBreeding Crops Resilient to Future Climate Change using Environment Covariant Enriched Genomic Prediction By Hans D. DaetwylerAgriculture Victoria, Australia
Watch Recording
07:00 AM - 07:35 AMThe impact of sex on gene expression and its genetic regulation across human tissues By Barbara StrangerNorthwestern University, Chicago, USA
07:35 AM - 07:50 AMA new interpretation for a 99 year-old equation: the Castle-Wright estimator is also a powerful test of natural selection By Hunter FraserStanford, USA
07:50 AM - 08:25 AMCome join the multiple testing party! By Matthew Stephens University of Chicago, USA