A multi-trait approach identified 7 novel genes for back pain.

Introduction: Back pain (BP) is a complex heritable trait with an estimated heritability of 40% to 60%. Less than half of this can be explained by known genetic variants identified in genome-wide association studies.

Objectives: We applied a powerful multi-trait and gene-based approach to association analysis of BP to identify novel genes associated with BP.

A New Method for Conditional Gene-Based Analysis Effectively Accounts for the Regional Polygenic Background.

Gene-based association analysis is a powerful tool for identifying genes that explain trait variability. An essential step of this analysis is a conditional analysis. It aims to eliminate the influence of SNPs outside the gene, which are in linkage disequilibrium with intragenic SNPs.

Multi-Trait Exome-Wide Association Study of Back Pain-Related Phenotypes.

Back pain (BP) is a major contributor to disability worldwide, with heritability estimated at 40-60%. However, less than half of the heritability is explained by common genetic variants identified by genome-wide association studies. More powerful methods and rare and ultra-rare variant analysis may offer additional insight.

Genetic Structure Analysis of 155 Transboundary and Local Populations of Cattle (, and ) Based on STR Markers.

Every week, 1-2 breeds of farm animals, including local cattle, disappear in the world. As the keepers of rare allelic variants, native breeds potentially expand the range of genetic solutions to possible problems of the future, which means that the study of the genetic structure of these breeds is an urgent task. Providing nomadic herders with valuable resources necessary for life, domestic yaks have also become an important object of study.

A Novel Framework for Analysis of the Shared Genetic Background of Correlated Traits.

We propose a novel effective framework for the analysis of the shared genetic background for a set of genetically correlated traits using SNP-level GWAS summary statistics. This framework called SHAHER is based on the construction of a linear combination of traits by maximizing the proportion of its genetic variance explained by the shared genetic factors. SHAHER requires only full GWAS summary statistics and matrices of genetic and phenotypic correlations between traits as inputs.

sumSTAAR: A flexible framework for gene-based association studies using GWAS summary statistics.

Gene-based association analysis is an effective gene-mapping tool. Many gene-based methods have been proposed recently. However, their power depends on the underlying genetic architecture, which is rarely known in complex traits, and so it is likely that a combination of such methods could serve as a universal approach.

Genetic Diversity, Population Structure and Phylogeny of Indigenous Goats of Mongolia Revealed by SNP Genotyping.

Mongolian goats are of great interest for studying ancient migration routes and domestication, and also represent a good model of adaptability to harsh environments. Recent climatic disasters and uncontrolled massive breeding endangered the valuable genetic resources of Mongolian goats and raised the question of their conservation status. Meanwhile, Mongolian goats have never been studied on genomic scale.

Microsatellite Diversity and Phylogenetic Relationships among East Eurasian Breeds with an Emphasis on Rare and Ancient Local Cattle.

We report the genetic analysis of 18 population samples of animals, which were taken from cattle () breeds of European and Asian origins. The main strength of our study is the use of rare and ancient native cattle breeds: the Altai, Ukrainian Grey, Tagil, and Buryat ones. The cattle samples studied have different production purposes, belong to various eco-geographic regions, and consequently have distinct farming conditions.

Nonsynonymous Variation in NKPD1 Increases Depressive Symptoms in European Populations.

Background: Despite high heritability, little success was achieved in mapping genetic determinants of depression-related traits by means of genome-wide association studies.

Methods: To identify genes associated with depressive symptomology, we performed a gene-based association analysis of nonsynonymous variation captured using exome-sequencing and exome-chip genotyping in a genetically isolated population from the Netherlands (n = 1999). Finally, we reproduced our significant findings in an independent population-based cohort (n = 1604).

[Functional linear models for region-based association analysis].

Regional association analysis is one of the most powerful tools for gene mapping because instead analysis of individual variants it simultaneously considers all variants in the region. Recent development of the models for regional association analysis involves functional data analysis approach. In the framework of this approach, genotypes of variants within region as well as their effects are described by continuous functions.

[Breeding of the Russian sable: Stages of industrial domestication and genetic variability].

Creating farms for sable breeding was associated with the commercial destruction of natural populations and, consequently, the overall decline in the species number. The gene pool of the first farm-bred sable population in Russia, established in the vicinity of Moscow (“Pushkinskiy” fur farm), was formed by crossing of animals removed from nine natural populations. In the first eight years of farm operation, approximately one thousand animals were used for sable breeding; some of these animals were able to adapt to the farm management and, subsequently, to the selection for a number of quantitative traits in the period of industrial domestication.

[Comparative Estimate of the Sheep Breed Gene Pools using ISSR Analysis].

Using the ISSR-PCR technique, the genetic structure of nine sheep breeds (Ovis aries) bred on the territories of Russia and Mongolia was examined. Species-specific and breed-specific DNA fragments were identified. For the first time, data on the genetic diversity of Telengit and Buubey sheep breeds were obtained.

Some pitfalls in application of functional data analysis approach to association studies.

One of the most effective methods for gene-based mapping employs functional data analysis, which smoothes data using standard basis functions. The full functional linear model includes a functional representation of genotypes and their effects, while the beta-smooth only model smoothes the genotype effects only. Benefits and limitations of the beta-smooth only model should be studied before using it in practice.

[Estimation of Genetic Diversity of Romanov Sheep by the Coefficient of Genetic Originality Based on ISSR-Fingerprinting Data].

Estimation of the state of the genetic diversity and the originality of the breed structure is required for the conservation and management of domestic breeds of agricultural animals. The Romanov breed of sheep from the leading breeding and gene pool farms in Yaroslavl oblast (Russia) is the object of our study. ISS R fingerprinting was used as a molecular method of the study of sheep gene pools.

[Influence of anthropogenous factors on the genetic variety of the sable (Martes zibellina L.)].

The genetic variety of seven geographic populations of sable has been studied; its distribution area stretches from the Urals to the Far East. It was shown using the panel of eight nuclear microsatellite markers that the sable populations from different geographical regions retain their individual genetic characteristics, despite the influence of anthropogenous factors (overhunting and introduction). There is a significant genetic similarity between the three populations of Central Siberia (Reynolds distances are 0.

[Geographical structure of the sable (Martes zibellina L.) gene pool on the basis of microsatellite loci analysis].

The genetic structure of seven natural sable populations was investigated with the use of the original panel of 10 microsatellite loci. The populations were selected on the basis of the historical data on sable numbers fluctuations for the last 300 years, as well as on data on natural and artificial migrations affecting neighboring populations. We have demonstrated that the populations are in a state of genetic equilibrium for the majority of the loci.

Rapid variance components-based method for whole-genome association analysis.

The variance component tests used in genome-wide association studies (GWAS) including large sample sizes become computationally exhaustive when the number of genetic markers is over a few hundred thousand. We present an extremely fast variance components-based two-step method, GRAMMAR-Gamma, developed as an analytical approximation within a framework of the score test approach. Using simulated and real human GWAS data sets, we show that this method provides unbiased estimates of the SNP effect and has a power close to that of the likelihood ratio test-based method.

[Analytical estimation of the power of linkage in large pedigrees].

Different approaches to calculation of the power in linkage analysis whose efficiencies have been demonstrated in small pedigrees are described. The possibility of applying them to large pedigrees has been estimated. Equivalence of the analytical estimates of power obtained using different approaches based on analysis of individual pairs of relatives has been shown.