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Series GSE123702 Query DataSets for GSE123702
Status Public on Dec 13, 2018
Title Molecular basis of complex heritability in natural genotype-to-phenotype relationships
Organism Saccharomyces cerevisiae
Experiment type Expression profiling by high throughput sequencing
Summary The intrinsic complexity of quantitative traits was evident even before the molecular nature of the gene was understood. Yet we still lack a detailed molecular understanding of complex heritability. Here we alleviated statistical roadblocks to high-resolution genetic mapping by using an inbred population of diploid yeast with very low linkage disequilibrium and more individuals than segregating polymorphisms. We mapped over 18,000 quantitative trait loci, resolving more than 3,300 to single nucleotides. This allowed us to explore the molecular origins of complexity, hybrid vigor, pleiotropy, and gene ยด environment interactions and to rigorously estimate the distribution of fitness effects of natural genetic variation. Our results describe a comprehensive, high-resolution genotype-to-phenotype map and define general principles underlying the complexity of heredity.
 
Overall design mRNA-seq performed on 2 parental diploid strains in 3 growth conditions in biological triplicate
 
Contributor(s) Jakobson CM, Jarosz DF
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Submission date Dec 12, 2018
Last update date Dec 14, 2018
Contact name Christopher M Jakobson
E-mail(s) cjakobso@stanford.edu
Organization name Stanford University School of Medicine
Department Chemical and Systems Biology
Lab Jarosz Lab
Street address 318 Campus Dr, Clark Center W350
City Stanford
State/province CA
ZIP/Postal code 94305
Country USA
 
Platforms (1)
GPL25927 BGISEQ-500 (Saccharomyces cerevisiae)
Samples (18)
GSM3509857 RM-SD-1
GSM3509858 RM-SD-2
GSM3509859 RM-SD-3
Relations
BioProject PRJNA509619
SRA SRP173322

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE123702_tpmOutput.csv.gz 446.6 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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