scholarly journals Genome-wide association study results for educational attainment aid in identifying genetic heterogeneity of schizophrenia

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
V. Bansal ◽  
M. Mitjans ◽  
C. A. P. Burik ◽  
R. K. Linnér ◽  
A. Okbay ◽  
...  
2017 ◽  
Author(s):  
V. Bansal ◽  
M. Mitjans ◽  
C.A.P. Burik ◽  
R.K. Linnér ◽  
A. Okbay ◽  
...  

ABSTRACTHigher educational attainment (EA) is negatively associated with schizophrenia (SZ). However, recent studies found a positive genetic correlation between EA and SZ. We investigated possible causes of this counterintuitive finding using genome-wide association study results for EA and SZ (N = 443,581) and a replication cohort (1,169 controls; 1,067 cases) with deeply phenotyped SZ patients. We found strong genetic dependence between EA and SZ that cannot be explained by chance, linkage disequilibrium, or assortative mating. Instead, several genes seem to have pleiotropic effects on EA and SZ, but without a clear pattern of sign concordance. Genetic heterogeneity of SZ contributes to this finding. We demonstrate this by showing that the polygenic prediction of clinical SZ symptoms can be improved by taking the sign concordance of loci for EA and SZ into account. Furthermore, using EA as a proxy phenotype, we isolate FOXO6 and SLITRK1 as novel candidate genes for SZ.


2020 ◽  
Author(s):  
Chang Liu ◽  
Yuan Tu ◽  
Shiyu Liao ◽  
Xiangkui Fu ◽  
Xingming Lian ◽  
...  

AbstractSince domestication, rice has cultivated in a wide range of latitudes with different day lengths. Selection of diverse natural variations in heading date and photoperiod sensitivity is critical for adaptation of rice to different geographical environments. To unravel the genetic architecture underlying natural variation of rice flowering time, we conducted a genome wide association study (GWAS) using several association analysis strategies with a diverse worldwide collection of 529 O. sativa accessions. Heading date was investigated in three environments under long-day or short-day conditions, and photosensitivity was evaluated. By dividing the whole association panel into subpopulations and performing GWAS with both linear mixed models and multi-locus mixed-models, we revealed hundreds of significant loci harboring novel candidate genes as well as most of the known flowering time genes. In total, 127 hotspots were detected in at least two GWAS. Universal genetic heterogeneity was found across subpopulations. We further detected abundant interactions between GWAS loci, especially in indica. Functional gene families were revealed from enrichment analysis of the 127 hotspots. The results demonstrated a rich of genetic interactions in rice flowering time genes and such epistatic interactions contributed to the large portions of missing heritability in GWAS. It suggests the increased complexity of genetic heterogeneity might discount the power of increasing the sample sizes in GWAS.


2009 ◽  
Vol 18 (21) ◽  
pp. 4219-4225 ◽  
Author(s):  
C.P. Garner ◽  
J.A. Murray ◽  
Y.C. Ding ◽  
Z. Tien ◽  
D.A. van Heel ◽  
...  

Author(s):  
Jonathan Beauchamp ◽  
David Cesarini ◽  
Matthijs J. H. M. van der Loos ◽  
P. Koellinger ◽  
Patrick J. F. Groenen ◽  
...  

PLoS ONE ◽  
2011 ◽  
Vol 6 (6) ◽  
pp. e20128 ◽  
Author(s):  
Nicolas W. Martin ◽  
Sarah E. Medland ◽  
Karin J. H. Verweij ◽  
S. Hong Lee ◽  
Dale R. Nyholt ◽  
...  

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