Genomic association analyses of complex traits demand statistical tools that are capable of detecting small effects of common and rare variants and modeling complex interaction effects and yet are computationally feasible. In this work, we introduce a similarity-based regression method for assessing the main genetic and interaction effects of a group of markers on quantitative traits. The method uses genetic similarity to aggregate information from multiple polymorphic sites and integrates adaptive weights that depend on allele frequencies to accomodate common and uncommon variants. Collapsing information at the similarity level instead of the genotype level avoids canceling signals that have the opposite etiological effects and is applicable to any class of genetic variants without the need for dichotomizing the allele types. To assess gene-trait associations, we regress trait similarities for pairs of unrelated individuals on their genetic similarities and assess association by using a score test whose limiting distribution is derived in this work. The proposed regression framework allows for covariates, has the capacity to model both main and interaction effects, can be applied to a mixture of different polymorphism types, and is computationally efficient. These features make it an ideal tool for evaluating associations between phenotype and marker sets defined by linkage disequilibrium (LD) blocks, genes, or pathways in whole-genome analysis.

Benign adult familial myoclonic epilepsy (BAFME) is an autosomal disorder characterized by adult-onset cortical tremor and generalized seizures. Using whole genome sequencing, Yeetong et al. identify the causative mutation for type 4 of the disorder (BAFME4), providing insights into the underlying pathogenesis.

Data availabilitySummary statistics generated by COVID-19 Host Genetics Initiative are available online (https://www.covid19hg.org/results/r6/). The analyses described here use the freeze 6 data. The COVID-19 Host Genetics Initiative continues to regularly release new data freezes. Summary statistics for samples from individuals of non-European ancestry are not currently available owing to the small individual sample sizes of these groups, but the results for 23 loci lead variants are reported in Supplementary Table 3. Individual-level data can be requested directly from the authors of the contributing studies, listed in Supplementary Table 1.

BackgroundSalt stress, a major plant environmental stress, is a critical constraint for rice productivity. Dissecting the genetic loci controlling salt tolerance in rice for improving productivity, especially at the flowering stage, remains challenging. Here, we conducted a genome-wide association study (GWAS) of salt tolerance based on exome sequencing of the Thai rice accessions.ResultsPhotosynthetic parameters and cell membrane stability under salt stress at the flowering stage; and yield-related traits of 104 Thai rice (Oryza sativa L.) accessions belonging to the indica subspecies were evaluated. The rice accessions were subjected to exome sequencing, resulting in 112,565 single nucleotide polymorphisms (SNPs) called with a minor allele frequency of at least 5%. LD decay analysis of the panel indicates that the average LD for SNPs at 20 kb distance from each other was 0.34 (r2), which decayed to its half value (~ 0.17) at around 80 kb. By GWAS performed using mixed linear model, two hundred loci containing 448 SNPs on exons were identified based on the salt susceptibility index of the net photosynthetic rate at day 6 after salt stress; and the number of panicles, filled grains and unfilled grains per plant. One hundred and forty six genes, which accounted for 73% of the identified loci, co-localized with the previously reported salt quantitative trait loci (QTLs). The top four regions that contained a high number of significant SNPs were found on chromosome 8, 12, 1 and 2. While many are novel, their annotation is consistent with potential involvement in plant salt tolerance and in related agronomic traits. These significant SNPs greatly help narrow down the region within these QTLs where the likely underlying candidate genes can be identified.ConclusionsInsight into the contribution of potential genes controlling salt tolerance from this GWAS provides further understanding of salt tolerance mechanisms of rice at the flowering stage, which can help improve yield productivity under salinity via gene cloning and genomic selection.Electronic supplementary materialThe online version of this article (10.1186/s12864-018-5317-2) contains supplementary material, which is available to authorized users.

Global DNA hypomethylation promoting genomic instability leads to cancer and deterioration of human health with age. Aim: To invent a biotechnology that can reprogram this process. Methods: We used Alu siRNA to direct Alu interspersed repetitive sequences methylation in human cells. We evaluated the correlation between DNA damage and Alu methylation levels. Results: We observed an inverse correlation between Alu element methylation and endogenous DNA damage in white blood cells. Cells transfected with Alu siRNA exhibited high Alu methylation levels, increased proliferation, reduced endogenous DNA damage and improved resistance to DNA damaging agents. Conclusion: Alu methylation stabilizes the genome by preventing accumulation of DNA damage. Alu siRNA could be useful for evaluating reprograming of the global hypomethylation phenotype in cancer and aging cells. DNA methylation at interspersed repetitive sequences (IRSs) plays an important role in maintaining genome stability. Cells with IRS hypomethylation exhibit increased mutation rates [1,2]. Here, we tested whether DNA damage, an alteration in the chemical structure of DNA and a precursor to mutation [3], plays a role in mediating how global hypomethylation promotes genomic instability. Our recent study found that global hypomethylation is associated with plasma 8-hydroxy-2 -deoxyguanosine (8-OHdG) in biliary atresia patients [4]. Moreover, urinary 8-OHdG, DNA strand breaks and global DNA hypomethylation are associated with low serum folate [5] and oxidative stress [6]. Therefore, we hypothesized that the human genome may use DNA methylation in IRSs to prevent DNA damage.This study developed a technology to add DNA methylation at Alu elements. The human genome contains greater than one million Alu elements [7]. Several reports demonstrated de novo methylation by siRNA in plants [8][9][10]. In human cells, small RNA was used to promote DNA methylation, shRNA for long interspersed element-1 (LINE-1) and hepatitis B virus, and siRNA for HIV-1 promoter region [11][12][13]. There are many types of IRS such as Alu elements, LINE-1, and human endogenous retrovirus [14][15][16][17]. To increase DNA methylation, we tested siRNA to unique sequences and several IRS sequences. Our preliminary trial demonstrated that only Alu siRNA could increase methylation of the target sequences. Here, we evaluated whether Alu siRNA is a useful tool to explore the role of global hypomethylation in genomic instability [18].Alu hypomethylation may play a role in causing genomic instability in cancer and aging cells. Genomic instability, the main enabling characteristic of cancer and aging processes [18,19], may mainly be promoted by IRS hypomethylation. IRS hypomethylation is commonly observed both in aging [14,20] and cancer cells [21]. IRS