scholarly journals Direct and indirect effects of maternal, paternal, and offspring genotypes: Trio-GCTA

Author(s):  
Espen Moen Eilertsen ◽  
Eshim Shahid Jami ◽  
Tom A. McAdams ◽  
Laurie J. Hannigan ◽  
Alexandra S. Havdahl ◽  
...  

AbstractIndirect genetic effects from relatives may result in misleading quantifications of heritability, but can also be of interest in their own right. In this paper we propose Trio-GCTA, a model for separating direct and indirect genetic effects when genome-wide single nucleotide polymorphism data have been collected from parent-offspring trios. The model is applicable to phenotypes obtained from any of the family members. We discuss appropriate parameter interpretations and apply the method to four exemplar phenotypes; offspring birth weight, offspring temperament, maternal relationship satisfaction, and paternal body-mass index, using real data from the Norwegian Mother, Father and Child Cohort Study (MoBa).

PLoS ONE ◽  
2011 ◽  
Vol 6 (2) ◽  
pp. e16747 ◽  
Author(s):  
Elina Salmela ◽  
Tuuli Lappalainen ◽  
Jianjun Liu ◽  
Pertti Sistonen ◽  
Peter M. Andersen ◽  
...  

2013 ◽  
Vol 14 (Suppl 13) ◽  
pp. S3 ◽  
Author(s):  
Mohsen Hajiloo ◽  
Babak Damavandi ◽  
Metanat HooshSadat ◽  
Farzad Sangi ◽  
John R Mackey ◽  
...  

Genetics ◽  
2011 ◽  
Vol 190 (2) ◽  
pp. 669-677 ◽  
Author(s):  
Clive J. Hoggart ◽  
Paul F. O’Reilly ◽  
Marika Kaakinen ◽  
Weihua Zhang ◽  
John C. Chambers ◽  
...  

ZooKeys ◽  
2020 ◽  
Vol 927 ◽  
pp. 75-97 ◽  
Author(s):  
Peter Huemer ◽  
Jean Haxaire ◽  
Kyung Min Lee ◽  
Marko Mutanen ◽  
Oleg Pekarsky ◽  
...  

The taxonomic status of the European Hoplodrina octogenaria (Goeze, 1781) is discussed and its partly sympatric sister species, Hoplodrina alsinides (Costantini, 1922) sp. rev., is separated and re-described based on morphological and molecular taxonomic evidence. The adults and their genitalia are illustrated and DNA barcodes, as well as genome-wide single nucleotide polymorphism data collected by fractional genome sequencing (ddRAD), of the two species are provided.


2018 ◽  
Author(s):  
Amelie Baud ◽  
Francesco Paolo Casale ◽  
Jerome Nicod ◽  
Oliver Stegle

AbstractThe phenotype of an individual can be affected not only by the individual’s own genotypes (direct genetic effects, DGE) but also by genotypes of other, interacting individuals (indirect genetic effects, IGE). IGE have been detected, using polygenic models, for a broad range of biomedical phenotypes. However, little is known about the loci, genes and traits of interacting partners mediating the effects, especially where non-familial IGE are concerned. To address this question, we studied IGE arising in cages of unrelated, adult laboratory mice. We leveraged a dataset of 170 behavioural, physiological and morphological phenotypes measured in 1,812 genetically heterogeneous mice and developed two approaches. First, we used variance components models to estimate, for each phenotype, the correlation between DGE and IGE. Our results demonstrate some overlap but also differences between the mechanisms of DGE and IGE for a given phenotype. Second, we developed and applied methods for the genome-wide association study of IGE (igeGWAS) in order to identify loci, genes and traits of cage mates mediating IGE. We identified 24 genomewide significant IGE loci for 17 phenotypes (FDR < 10%), none of which overlapped with genome-wide significant DGE loci for the same phenotype. Using an exhaustive list of single nucleotide polymorphisms at each locus, we fine-mapped each association. At six loci this pointed to a single candidate gene, which we used to formulate specific hypotheses as to the mechanisms of IGE. The empirical insights from our study and the analytical strategies we have developed pave the way for using igeGWAS to unravel mechanisms of phenotypic variation that are expressed only in the context of social interactions.


Author(s):  
Ross P Byrne ◽  
Wouter van Rheenen ◽  
Leonard H van den Berg ◽  
Jan H Veldink ◽  
Russell L McLaughlin ◽  
...  

We studied fine-grained population genetic structure and demographic change across the Netherlands using genome-wide single nucleotide polymorphism data (1,626 individuals) with associated geography (1,422 individuals). We applied ChromoPainter/fineSTRUCTURE, identifying 40 haplotypic clusters exhibiting strong north/south variation and fine-scale differentiation within provinces. Clustering is tied to country-wide ancestry gradients from neighbouring lands and to locally restricted gene flow across major Dutch rivers. Despite superexponential population growth, north-south structure is temporally stable, with west-east differentiation more transient, potentially influenced by migrations during the middle ages. Within Dutch and international data, GWAS incorporating fine-grained haplotypic covariates are less confounded than standard methods.


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