Luc Janss

32 posts

Luc Janss

Luc Janss

@lljanss

Professor, plant genetics and breeding, big data, prediction, Aarhus University, Denmark.

Arhus, Denmark Katılım Kasım 2012
44 Takip Edilen230 Takipçiler
Luc Janss retweetledi
QGG AU
QGG AU@QGG_AU·
New article out by Marta Malinowska, Abraham Smith, Anja Ruud, Luc Janss, Lene Krusell, Jens Due Jensen & Torben Asp: Automated seminal root angle measurement with corrective annotation 🌱 Find the article here: doi.org/10.1093/aobpla… #PlantBreeding #Automation #Phenotyping
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Luc Janss
Luc Janss@lljanss·
Nice article by Kenny et al. (doi.org/10.1186/s12711…) on the variation in genomic relationships in full sibs. Raw relationships are avg 0.55 up to 0.85, after correcting for parent relationships and inbreeding they are nicely 0.5 with a range 0.4-0.6, as expected by theory🙂👍
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Luc Janss
Luc Janss@lljanss·
With contributions of @QGG_AU by @eB_elesandro and me and lead author colleague @stiguandersen of @MolBiolAU @AarhusUni. Great work @murukarthickj and other first and co-authors 🤗.
Murukarthick Jayakodi@murukarthickj

Marking a milestone in #plant #genomics!!! An amazing team of scientists around the globe unraveled the giant #fababean genome (~ 13 Gb), which is now out @Nature ..Huge congrats to all authors!!! #plantprotein @LeibnizIPK @LeibnizWGL nature.com/articles/s4158…

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Luc Janss retweetledi
QGG AU
QGG AU@QGG_AU·
We have an available position as professor in Crop Genetics at QGG Flakkebjerg. Deadline 1 July 2022. Read more here: bit.ly/3mzJZ4B @mogens_lund @lljanss
QGG AU tweet media
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Luc Janss
Luc Janss@lljanss·
@GenomeBiology @John_B_Cole @GenomeBiology most findings in this paper are likely false. The authors phenotyped only 1/4 of their hybrids, the other 3/4 is predicted from the 1/4, replicating and creating positive signals from noise. Your reviewers should have been a little sharper 😴
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Genome Biology
Genome Biology@GenomeBiology·
Xiao, Jiang, Cheng, Wang, Zhao, Wang, Yan & co present a study of heterosis in maize. They generate 42,840 F1 hybrids by crossing 30 elite testers with 1428 maternal lines. They explore QTLs associated with yield heterosis, and their epistatic interactions genomebiology.biomedcentral.com/articles/10.11…
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Luc Janss
Luc Janss@lljanss·
@eagerbo You could take a noise SNP effect from a small data set, impute phenotypes based on that noise effect in a very large data set with genotypes, reanalyse, and you can get any noise significant if the imputed set is large enough. I sent the authors an R script showing it 🙂
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Esben Agerbo
Esben Agerbo@eagerbo·
@lljanss Interesting but it would be nice to see a deeper argument.
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Luc Janss
Luc Janss@lljanss·
I reviewed a paper where authors had increased their data size by adding genomic predicted phenotypes, and then did GWAS. Don't do it, it is flawed! The predicted phenos are basically copies of the training SNP effects, inflating the test statistics for GWAS. End of review ☹️
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Luc Janss
Luc Janss@lljanss·
@DJ_de_Koning @bvilhjal I would say Hujoel et al can be flawed too, the same family history information will be replicated in, for instance, sibs, also increasing the false positive rate. Only with careful design (no family members in the final analysis) it could be ok.
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Luc Janss
Luc Janss@lljanss·
Congratulations Pernille! More #betterbarley (and grass) from @QGG_AU. I was involved in Pernille's thesis to map markers for root number in #barley, where mixed models failed but Bayesian mapping succeeded 🙂. Hopefully ready to submit soon!
QGG AU@QGG_AU

Congratulations to Pernille Bjarup Hansen who successfully defended her PhD thesis Friday on #Genetic Dissection and #Prediction of Complex #Traits in #Barley and Festulolium Grasses. #QGG_AU bit.ly/2G399Hg @lljanss #Torben_Asp

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Keşfet

@GuillRamstein @dougthespeed @GoutamSahana @eB_elesandro @DLF_Seeds @BMC_series @QGG_AU @stiguandersen