---
_id: '11388'
abstract:
- lang: eng
  text: "In evolve and resequence experiments, a population is sequenced, subjected
    to selection and\r\nthen sequenced again, so that genetic changes before and after
    selection can be observed at\r\nthe genetic level. Here, I use these studies to
    better understand the genetic basis of complex\r\ntraits - traits which depend
    on more than a few genes.\r\nIn the first chapter, I discuss the first evolve
    and resequence experiment, in which a population\r\nof mice, the so-called \"Longshanks\"
    mice, were selected for tibia length while their body mass\r\nwas kept constant.
    The full pedigree is known. We observed a selection response on all\r\nchromosomes
    and used the infinitesimal model with linkage, a model which assumes an infinite\r\nnumber
    of genes with infinitesimally small effect sizes, as a null model. Results implied
    a very\r\npolygenic basis with a few loci of major effect standing out and changing
    in parallel. There\r\nwas large variability between the different chromosomes
    in this study, probably due to LD.\r\nIn chapter two, I go on to discuss the impact
    of LD, on the variability in an allele-frequency\r\nbased summary statistic, giving
    an equation based on the initial allele frequencies, average\r\npairwise LD, and
    the first four moments of the haplotype block copy number distribution. I\r\ndescribe
    this distribution by referring back to the founder generation. I then demonstrate\r\nhow
    to infer selection via a maximum likelihood scheme on the example of a single
    locus and\r\ndiscuss how to extend this to more realistic scenarios.\r\nIn chapter
    three, I discuss the second evolve and resequence experiment, in which a small\r\npopulation
    of Drosophila melanogaster was selected for increased pupal case size over 6\r\ngenerations.
    The experiment was highly replicated with 27 lines selected within family and
    a\r\nknown pedigree. We observed a phenotypic selection response of over one standard
    deviation.\r\nI describe the patterns in allele frequency data, including allele
    frequency changes and patterns\r\nof heterozygosity, and give ideas for future
    work."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Stefanie
  full_name: Belohlavy, Stefanie
  id: 43FE426A-F248-11E8-B48F-1D18A9856A87
  last_name: Belohlavy
  orcid: 0000-0002-9849-498X
citation:
  ama: Belohlavy S. The genetic basis of complex traits studied via analysis of evolve
    and resequence experiments. 2022. doi:<a href="https://doi.org/10.15479/at:ista:11388">10.15479/at:ista:11388</a>
  apa: Belohlavy, S. (2022). <i>The genetic basis of complex traits studied via analysis
    of evolve and resequence experiments</i>. Institute of Science and Technology
    Austria. <a href="https://doi.org/10.15479/at:ista:11388">https://doi.org/10.15479/at:ista:11388</a>
  chicago: Belohlavy, Stefanie. “The Genetic Basis of Complex Traits Studied via Analysis
    of Evolve and Resequence Experiments.” Institute of Science and Technology Austria,
    2022. <a href="https://doi.org/10.15479/at:ista:11388">https://doi.org/10.15479/at:ista:11388</a>.
  ieee: S. Belohlavy, “The genetic basis of complex traits studied via analysis of
    evolve and resequence experiments,” Institute of Science and Technology Austria,
    2022.
  ista: Belohlavy S. 2022. The genetic basis of complex traits studied via analysis
    of evolve and resequence experiments. Institute of Science and Technology Austria.
  mla: Belohlavy, Stefanie. <i>The Genetic Basis of Complex Traits Studied via Analysis
    of Evolve and Resequence Experiments</i>. Institute of Science and Technology
    Austria, 2022, doi:<a href="https://doi.org/10.15479/at:ista:11388">10.15479/at:ista:11388</a>.
  short: S. Belohlavy, The Genetic Basis of Complex Traits Studied via Analysis of
    Evolve and Resequence Experiments, Institute of Science and Technology Austria,
    2022.
date_created: 2022-05-16T16:49:18Z
date_published: 2022-05-18T00:00:00Z
date_updated: 2023-08-29T06:41:51Z
day: '18'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:11388
file:
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has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '05'
oa: 1
oa_version: Published Version
page: '98'
publication_identifier:
  isbn:
  - 978-3-99078-018-3
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '6713'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Nicholas H
  full_name: Barton, Nicholas H
  id: 4880FE40-F248-11E8-B48F-1D18A9856A87
  last_name: Barton
  orcid: 0000-0002-8548-5240
title: The genetic basis of complex traits studied via analysis of evolve and resequence
  experiments
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...