---
_id: '7711'
abstract:
- lang: eng
text: The nature and extent of mitochondrial DNA variation in a population and how
it affects traits is poorly understood. Here we resequence the mitochondrial genomes
of 169 Drosophila Genetic Reference Panel lines, identifying 231 variants that
stratify along 12 mitochondrial haplotypes. We identify 1,845 cases of mitonuclear
allelic imbalances, thus implying that mitochondrial haplotypes are reflected
in the nuclear genome. However, no major fitness effects are associated with mitonuclear
imbalance, suggesting that such imbalances reflect population structure at the
mitochondrial level rather than genomic incompatibilities. Although mitochondrial
haplotypes have no direct impact on mitochondrial respiration, some haplotypes
are associated with stress- and metabolism-related phenotypes, including food
intake in males. Finally, through reciprocal swapping of mitochondrial genomes,
we demonstrate that a mitochondrial haplotype associated with high food intake
can rescue a low food intake phenotype. Together, our findings provide new insight
into population structure at the mitochondrial level and point to the importance
of incorporating mitochondrial haplotypes in genotype–phenotype relationship studies.
article_processing_charge: No
article_type: original
author:
- first_name: Roel P. J.
full_name: Bevers, Roel P. J.
last_name: Bevers
- first_name: Maria
full_name: Litovchenko, Maria
last_name: Litovchenko
- first_name: Adamandia
full_name: Kapopoulou, Adamandia
last_name: Kapopoulou
- first_name: Virginie S.
full_name: Braman, Virginie S.
last_name: Braman
- first_name: Matthew Richard
full_name: Robinson, Matthew Richard
id: E5D42276-F5DA-11E9-8E24-6303E6697425
last_name: Robinson
orcid: 0000-0001-8982-8813
- first_name: Johan
full_name: Auwerx, Johan
last_name: Auwerx
- first_name: Brian
full_name: Hollis, Brian
last_name: Hollis
- first_name: Bart
full_name: Deplancke, Bart
last_name: Deplancke
citation:
ama: Bevers RPJ, Litovchenko M, Kapopoulou A, et al. Mitochondrial haplotypes affect
metabolic phenotypes in the Drosophila Genetic Reference Panel. Nature Metabolism.
2019;1(12):1226-1242. doi:10.1038/s42255-019-0147-3
apa: Bevers, R. P. J., Litovchenko, M., Kapopoulou, A., Braman, V. S., Robinson,
M. R., Auwerx, J., … Deplancke, B. (2019). Mitochondrial haplotypes affect metabolic
phenotypes in the Drosophila Genetic Reference Panel. Nature Metabolism.
Springer Nature. https://doi.org/10.1038/s42255-019-0147-3
chicago: Bevers, Roel P. J., Maria Litovchenko, Adamandia Kapopoulou, Virginie S.
Braman, Matthew Richard Robinson, Johan Auwerx, Brian Hollis, and Bart Deplancke.
“Mitochondrial Haplotypes Affect Metabolic Phenotypes in the Drosophila Genetic
Reference Panel.” Nature Metabolism. Springer Nature, 2019. https://doi.org/10.1038/s42255-019-0147-3.
ieee: R. P. J. Bevers et al., “Mitochondrial haplotypes affect metabolic
phenotypes in the Drosophila Genetic Reference Panel,” Nature Metabolism,
vol. 1, no. 12. Springer Nature, pp. 1226–1242, 2019.
ista: Bevers RPJ, Litovchenko M, Kapopoulou A, Braman VS, Robinson MR, Auwerx J,
Hollis B, Deplancke B. 2019. Mitochondrial haplotypes affect metabolic phenotypes
in the Drosophila Genetic Reference Panel. Nature Metabolism. 1(12), 1226–1242.
mla: Bevers, Roel P. J., et al. “Mitochondrial Haplotypes Affect Metabolic Phenotypes
in the Drosophila Genetic Reference Panel.” Nature Metabolism, vol. 1,
no. 12, Springer Nature, 2019, pp. 1226–42, doi:10.1038/s42255-019-0147-3.
short: R.P.J. Bevers, M. Litovchenko, A. Kapopoulou, V.S. Braman, M.R. Robinson,
J. Auwerx, B. Hollis, B. Deplancke, Nature Metabolism 1 (2019) 1226–1242.
date_created: 2020-04-30T10:40:56Z
date_published: 2019-12-09T00:00:00Z
date_updated: 2021-01-12T08:15:01Z
day: '09'
doi: 10.1038/s42255-019-0147-3
extern: '1'
intvolume: ' 1'
issue: '12'
language:
- iso: eng
month: '12'
oa_version: None
page: 1226-1242
publication: Nature Metabolism
publication_identifier:
issn:
- 2522-5812
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1038/s42255-020-0202-0
status: public
title: Mitochondrial haplotypes affect metabolic phenotypes in the Drosophila Genetic
Reference Panel
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 1
year: '2019'
...
---
_id: '7782'
abstract:
- lang: eng
text: As genome-wide association studies (GWAS) increased in size, numerous gene-environment
interactions (GxE) have been discovered, many of which however explore only one
environment at a time and may suffer from statistical artefacts leading to biased
interaction estimates. Here we propose a maximum likelihood method to estimate
the contribution of GxE to complex traits taking into account all interacting
environmental variables at the same time, without the need to measure any. This
is possible because GxE induces fluctuations in the conditional trait variance,
the extent of which depends on the strength of GxE. The approach can be applied
to continuous outcomes and for single SNPs or genetic risk scores (GRS). Extensive
simulations demonstrated that our method yields unbiased interaction estimates
and excellent confidence interval coverage. We also offer a strategy to distinguish
specific GxE from general heteroscedasticity (scale effects). Applying our method
to 32 complex traits in the UK Biobank reveals that for body mass index (BMI)
the GRSxE explains an additional 1.9% variance on top of the 5.2% GRS contribution.
However, this interaction is not specific to the GRS and holds for any variable
similarly correlated with BMI. On the contrary, the GRSxE interaction effect for
leg impedance Embedded Image is significantly (P < 10−56) larger than it would
be expected for a similarly correlated variable Embedded Image. We showed that
our method could robustly detect the global contribution of GxE to complex traits,
which turned out to be substantial for certain obesity measures.
article_processing_charge: No
author:
- first_name: Jonathan
full_name: Sulc, Jonathan
last_name: Sulc
- first_name: Ninon
full_name: Mounier, Ninon
last_name: Mounier
- first_name: Felix
full_name: Günther, Felix
last_name: Günther
- first_name: Thomas
full_name: Winkler, Thomas
last_name: Winkler
- first_name: Andrew R.
full_name: Wood, Andrew R.
last_name: Wood
- first_name: Timothy M.
full_name: Frayling, Timothy M.
last_name: Frayling
- first_name: Iris M.
full_name: Heid, Iris M.
last_name: Heid
- first_name: Matthew Richard
full_name: Robinson, Matthew Richard
id: E5D42276-F5DA-11E9-8E24-6303E6697425
last_name: Robinson
orcid: 0000-0001-8982-8813
- first_name: Zoltán
full_name: Kutalik, Zoltán
last_name: Kutalik
citation:
ama: 'Sulc J, Mounier N, Günther F, et al. Maximum likelihood method quantifies
the overall contribution of gene-environment interaction to continuous traits:
An application to complex traits in the UK Biobank. bioRxiv. 2019.'
apa: 'Sulc, J., Mounier, N., Günther, F., Winkler, T., Wood, A. R., Frayling, T.
M., … Kutalik, Z. (2019). Maximum likelihood method quantifies the overall contribution
of gene-environment interaction to continuous traits: An application to complex
traits in the UK Biobank. bioRxiv. Cold Spring Harbor Laboratory.'
chicago: 'Sulc, Jonathan, Ninon Mounier, Felix Günther, Thomas Winkler, Andrew R.
Wood, Timothy M. Frayling, Iris M. Heid, Matthew Richard Robinson, and Zoltán
Kutalik. “Maximum Likelihood Method Quantifies the Overall Contribution of Gene-Environment
Interaction to Continuous Traits: An Application to Complex Traits in the UK Biobank.”
BioRxiv. Cold Spring Harbor Laboratory, 2019.'
ieee: 'J. Sulc et al., “Maximum likelihood method quantifies the overall
contribution of gene-environment interaction to continuous traits: An application
to complex traits in the UK Biobank,” bioRxiv. Cold Spring Harbor Laboratory,
2019.'
ista: 'Sulc J, Mounier N, Günther F, Winkler T, Wood AR, Frayling TM, Heid IM, Robinson
MR, Kutalik Z. 2019. Maximum likelihood method quantifies the overall contribution
of gene-environment interaction to continuous traits: An application to complex
traits in the UK Biobank. bioRxiv, .'
mla: 'Sulc, Jonathan, et al. “Maximum Likelihood Method Quantifies the Overall Contribution
of Gene-Environment Interaction to Continuous Traits: An Application to Complex
Traits in the UK Biobank.” BioRxiv, Cold Spring Harbor Laboratory, 2019.'
short: J. Sulc, N. Mounier, F. Günther, T. Winkler, A.R. Wood, T.M. Frayling, I.M.
Heid, M.R. Robinson, Z. Kutalik, BioRxiv (2019).
date_created: 2020-04-30T13:04:26Z
date_published: 2019-06-14T00:00:00Z
date_updated: 2021-01-12T08:15:30Z
day: '14'
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: 'https://doi.org/10.1101/632380 '
month: '06'
oa: 1
oa_version: Preprint
page: '20'
publication: bioRxiv
publication_status: published
publisher: Cold Spring Harbor Laboratory
status: public
title: 'Maximum likelihood method quantifies the overall contribution of gene-environment
interaction to continuous traits: An application to complex traits in the UK Biobank'
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...
---
_id: '8013'
article_number: e1007049
article_processing_charge: No
article_type: original
author:
- first_name: Christopher B.
full_name: Currin, Christopher B.
last_name: Currin
- first_name: Phumlani N.
full_name: Khoza, Phumlani N.
last_name: Khoza
- first_name: Alexander D.
full_name: Antrobus, Alexander D.
last_name: Antrobus
- first_name: Peter E.
full_name: Latham, Peter E.
last_name: Latham
- first_name: Tim P
full_name: Vogels, Tim P
id: CB6FF8D2-008F-11EA-8E08-2637E6697425
last_name: Vogels
orcid: 0000-0003-3295-6181
- first_name: Joseph V.
full_name: Raimondo, Joseph V.
last_name: Raimondo
citation:
ama: 'Currin CB, Khoza PN, Antrobus AD, Latham PE, Vogels TP, Raimondo JV. Think:
Theory for Africa. PLOS Computational Biology. 2019;15(7). doi:10.1371/journal.pcbi.1007049'
apa: 'Currin, C. B., Khoza, P. N., Antrobus, A. D., Latham, P. E., Vogels, T. P.,
& Raimondo, J. V. (2019). Think: Theory for Africa. PLOS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1007049'
chicago: 'Currin, Christopher B., Phumlani N. Khoza, Alexander D. Antrobus, Peter
E. Latham, Tim P Vogels, and Joseph V. Raimondo. “Think: Theory for Africa.” PLOS
Computational Biology. Public Library of Science, 2019. https://doi.org/10.1371/journal.pcbi.1007049.'
ieee: 'C. B. Currin, P. N. Khoza, A. D. Antrobus, P. E. Latham, T. P. Vogels, and
J. V. Raimondo, “Think: Theory for Africa,” PLOS Computational Biology,
vol. 15, no. 7. Public Library of Science, 2019.'
ista: 'Currin CB, Khoza PN, Antrobus AD, Latham PE, Vogels TP, Raimondo JV. 2019.
Think: Theory for Africa. PLOS Computational Biology. 15(7), e1007049.'
mla: 'Currin, Christopher B., et al. “Think: Theory for Africa.” PLOS Computational
Biology, vol. 15, no. 7, e1007049, Public Library of Science, 2019, doi:10.1371/journal.pcbi.1007049.'
short: C.B. Currin, P.N. Khoza, A.D. Antrobus, P.E. Latham, T.P. Vogels, J.V. Raimondo,
PLOS Computational Biology 15 (2019).
date_created: 2020-06-25T12:50:39Z
date_published: 2019-07-11T00:00:00Z
date_updated: 2021-01-12T08:16:31Z
day: '11'
ddc:
- '570'
doi: 10.1371/journal.pcbi.1007049
extern: '1'
external_id:
pmid:
- '31295253'
file:
- access_level: open_access
checksum: 723bdfb6ee5c747cbbb32baf01d17fad
content_type: application/pdf
creator: cziletti
date_created: 2020-07-02T12:22:57Z
date_updated: 2020-07-14T12:48:08Z
file_id: '8079'
file_name: 2019_PlosCompBio_Currin.pdf
file_size: 773969
relation: main_file
file_date_updated: 2020-07-14T12:48:08Z
has_accepted_license: '1'
intvolume: ' 15'
issue: '7'
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLOS Computational Biology
publication_identifier:
issn:
- 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
status: public
title: 'Think: Theory for Africa'
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: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 15
year: '2019'
...
---
_id: '8014'
abstract:
- lang: eng
text: 'Working memory, the ability to keep recently accessed information available
for immediate manipulation, has been proposed to rely on two mechanisms that appear
difficult to reconcile: self-sustained neural firing, or the opposite—activity-silent
synaptic traces. Here we review and contrast models of these two mechanisms, and
then show that both phenomena can co-exist within a unified system in which neurons
hold information in both activity and synapses. Rapid plasticity in flexibly-coding
neurons allows features to be bound together into objects, with an important emergent
property being the focus of attention. One memory item is held by persistent activity
in an attended or “focused” state, and is thus remembered better than other items.
Other, previously attended items can remain in memory but in the background, encoded
in activity-silent synaptic traces. This dual functional architecture provides
a unified common mechanism accounting for a diversity of perplexing attention
and memory effects that have been hitherto difficult to explain in a single theoretical
framework.'
article_processing_charge: No
article_type: original
author:
- first_name: Sanjay G.
full_name: Manohar, Sanjay G.
last_name: Manohar
- first_name: Nahid
full_name: Zokaei, Nahid
last_name: Zokaei
- first_name: Sean J.
full_name: Fallon, Sean J.
last_name: Fallon
- first_name: Tim P
full_name: Vogels, Tim P
id: CB6FF8D2-008F-11EA-8E08-2637E6697425
last_name: Vogels
orcid: 0000-0003-3295-6181
- first_name: Masud
full_name: Husain, Masud
last_name: Husain
citation:
ama: Manohar SG, Zokaei N, Fallon SJ, Vogels TP, Husain M. Neural mechanisms of
attending to items in working memory. Neuroscience and Biobehavioral Reviews.
2019;101:1-12. doi:10.1016/j.neubiorev.2019.03.017
apa: Manohar, S. G., Zokaei, N., Fallon, S. J., Vogels, T. P., & Husain, M.
(2019). Neural mechanisms of attending to items in working memory. Neuroscience
and Biobehavioral Reviews. Elsevier . https://doi.org/10.1016/j.neubiorev.2019.03.017
chicago: Manohar, Sanjay G., Nahid Zokaei, Sean J. Fallon, Tim P Vogels, and Masud
Husain. “Neural Mechanisms of Attending to Items in Working Memory.” Neuroscience
and Biobehavioral Reviews. Elsevier , 2019. https://doi.org/10.1016/j.neubiorev.2019.03.017.
ieee: S. G. Manohar, N. Zokaei, S. J. Fallon, T. P. Vogels, and M. Husain, “Neural
mechanisms of attending to items in working memory,” Neuroscience and Biobehavioral
Reviews, vol. 101. Elsevier , pp. 1–12, 2019.
ista: Manohar SG, Zokaei N, Fallon SJ, Vogels TP, Husain M. 2019. Neural mechanisms
of attending to items in working memory. Neuroscience and Biobehavioral Reviews.
101, 1–12.
mla: Manohar, Sanjay G., et al. “Neural Mechanisms of Attending to Items in Working
Memory.” Neuroscience and Biobehavioral Reviews, vol. 101, Elsevier , 2019,
pp. 1–12, doi:10.1016/j.neubiorev.2019.03.017.
short: S.G. Manohar, N. Zokaei, S.J. Fallon, T.P. Vogels, M. Husain, Neuroscience
and Biobehavioral Reviews 101 (2019) 1–12.
date_created: 2020-06-25T12:52:13Z
date_published: 2019-06-01T00:00:00Z
date_updated: 2021-01-12T08:16:31Z
day: '01'
ddc:
- '570'
doi: 10.1016/j.neubiorev.2019.03.017
extern: '1'
external_id:
pmid:
- '30922977'
file:
- access_level: open_access
checksum: 7b972e3d6f7bb3122c8c5648f44e60ca
content_type: application/pdf
creator: cziletti
date_created: 2020-07-02T13:17:52Z
date_updated: 2020-07-14T12:48:08Z
file_id: '8080'
file_name: 2019_NeurosBiobehavRev_Manohar.pdf
file_size: 1754418
relation: main_file
file_date_updated: 2020-07-14T12:48:08Z
has_accepted_license: '1'
intvolume: ' 101'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: 'https://doi.org/10.1101/233007 '
month: '06'
oa: 1
oa_version: Published Version
page: 1-12
pmid: 1
publication: Neuroscience and Biobehavioral Reviews
publication_identifier:
issn:
- 0149-7634
publication_status: published
publisher: 'Elsevier '
quality_controlled: '1'
status: public
title: Neural mechanisms of attending to items in working memory
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: journal_article
user_id: D865714E-FA4E-11E9-B85B-F5C5E5697425
volume: 101
year: '2019'
...
---
_id: '8175'
abstract:
- lang: eng
text: We study edge asymptotics of poissonized Plancherel-type measures on skew
Young diagrams (integer partitions). These measures can be seen as generalizations
of those studied by Baik--Deift--Johansson and Baik--Rains in resolving Ulam's
problem on longest increasing subsequences of random permutations and the last
passage percolation (corner growth) discrete versions thereof. Moreover they interpolate
between said measures and the uniform measure on partitions. In the new KPZ-like
1/3 exponent edge scaling limit with logarithmic corrections, we find new probability
distributions generalizing the classical Tracy--Widom GUE, GOE and GSE distributions
from the theory of random matrices.
acknowledgement: "D.B. is especially grateful to Patrik Ferrari for suggesting simplifications
in Section 3 and\r\nto Alessandra Occelli for suggesting the name for the models
of Section 2.\r\n"
article_number: '34'
article_processing_charge: No
author:
- first_name: Dan
full_name: Betea, Dan
last_name: Betea
- first_name: Jérémie
full_name: Bouttier, Jérémie
last_name: Bouttier
- first_name: Peter
full_name: Nejjar, Peter
id: 4BF426E2-F248-11E8-B48F-1D18A9856A87
last_name: Nejjar
- first_name: Mirjana
full_name: Vuletíc, Mirjana
last_name: Vuletíc
citation:
ama: 'Betea D, Bouttier J, Nejjar P, Vuletíc M. New edge asymptotics of skew Young
diagrams via free boundaries. In: Proceedings on the 31st International Conference
on Formal Power Series and Algebraic Combinatorics. Formal Power Series and
Algebraic Combinatorics; 2019.'
apa: 'Betea, D., Bouttier, J., Nejjar, P., & Vuletíc, M. (2019). New edge asymptotics
of skew Young diagrams via free boundaries. In Proceedings on the 31st International
Conference on Formal Power Series and Algebraic Combinatorics. Ljubljana,
Slovenia: Formal Power Series and Algebraic Combinatorics.'
chicago: Betea, Dan, Jérémie Bouttier, Peter Nejjar, and Mirjana Vuletíc. “New Edge
Asymptotics of Skew Young Diagrams via Free Boundaries.” In Proceedings on
the 31st International Conference on Formal Power Series and Algebraic Combinatorics.
Formal Power Series and Algebraic Combinatorics, 2019.
ieee: D. Betea, J. Bouttier, P. Nejjar, and M. Vuletíc, “New edge asymptotics of
skew Young diagrams via free boundaries,” in Proceedings on the 31st International
Conference on Formal Power Series and Algebraic Combinatorics, Ljubljana,
Slovenia, 2019.
ista: 'Betea D, Bouttier J, Nejjar P, Vuletíc M. 2019. New edge asymptotics of skew
Young diagrams via free boundaries. Proceedings on the 31st International Conference
on Formal Power Series and Algebraic Combinatorics. FPSAC: International Conference
on Formal Power Series and Algebraic Combinatorics, 34.'
mla: Betea, Dan, et al. “New Edge Asymptotics of Skew Young Diagrams via Free Boundaries.”
Proceedings on the 31st International Conference on Formal Power Series and
Algebraic Combinatorics, 34, Formal Power Series and Algebraic Combinatorics,
2019.
short: D. Betea, J. Bouttier, P. Nejjar, M. Vuletíc, in:, Proceedings on the 31st
International Conference on Formal Power Series and Algebraic Combinatorics, Formal
Power Series and Algebraic Combinatorics, 2019.
conference:
end_date: 2019-07-05
location: Ljubljana, Slovenia
name: 'FPSAC: International Conference on Formal Power Series and Algebraic Combinatorics'
start_date: 2019-07-01
date_created: 2020-07-26T22:01:04Z
date_published: 2019-07-01T00:00:00Z
date_updated: 2021-01-12T08:17:18Z
day: '01'
department:
- _id: LaEr
ec_funded: 1
external_id:
arxiv:
- '1902.08750'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1902.08750
month: '07'
oa: 1
oa_version: Preprint
project:
- _id: 258DCDE6-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '338804'
name: Random matrices, universality and disordered quantum systems
- _id: 256E75B8-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '716117'
name: Optimal Transport and Stochastic Dynamics
publication: Proceedings on the 31st International Conference on Formal Power Series
and Algebraic Combinatorics
publication_status: published
publisher: Formal Power Series and Algebraic Combinatorics
quality_controlled: '1'
scopus_import: '1'
status: public
title: New edge asymptotics of skew Young diagrams via free boundaries
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...