Epistasis-aware genome-wide association studies provide insights into the efficient breeding of high-yield and high-quality rice

Marker-assisted selection(MAS)and genomic selection(GS)breeding have greatly improved the efficiency of rice breeding.Due to the influences of epistasis and gene pleiotropy,ensuring the actual breeding effect of MAS and GS is still a difficult challenge to overcome.In this study,113 indica rice varieties(V)and their 565 testcross hybrids(TC)were used as the materials to investigate the genetic basis of 12 quality traits and nine agronomic traits.The original traits and general combining ability of the parents,as well as the original traits and midparent heterosis of TC,were subjected to genome-wide association analysis.In total,381 primary significantly associated loci(SAL)and 1,759 secondary SALs that had epistatic interactions with these primary SALs were detected.Among these loci,322 candidate genes located within or nearby the SALs were screened,204 of which were cloned genes.A total of 39 MAS molecular modules that are beneficial for trait improvement were identified by pyramiding the superior haplotypes of candidate genes and desirable epistatic alleles of the secondary SALs.All the SALs were used to construct genetic networks,in which 91 pleiotropic loci were investigated.Additionally,we estimated the accuracy of genomic prediction in the parent V and TC by incorporating either no SALs,primary SALs,secondary SALs or epistatic effect SALs as covariates.Although the prediction accuracies of the four models were generally not significantly different in the TC dataset,the incorporation of primary SALs,secondary SALs,and epistatic effect SALs significantly improved the prediction accuracies of 5(26%),3(16%),and 11(58%)traits in the V dataset,respectively.These results suggested that SALs and epistatic effect SALs identified based on an additive genotype can provide considerable predictive power for the parental lines.They also provide insights into the genetic basis of complex traits and valuable information for molecular breeding in rice.

Genome-wide association study of seedling nitrogen-use efficiency-associated traits in common wheat(Triticum aestivum L.)

Nitrogen(N)fertilizer application is essential for crop-plant growth and development.Identifying genetic loci associated with N-use efficiency(NUE)could increase wheat yields and reduce environmental pollution caused by overfertilization.We subjected a panel of 389 wheat accessions to N and chlorate(a nitrate analog)treatments to identify quantitative trait loci(QTL)controlling NUE-associated traits at the wheat seedling stage.Genotyping the panel with a 660K single-nucleotide polymorphism(SNP)array,we identified 397 SNPs associated with N-sensitivity index and chlorate inhibition rate.These SNPs were merged into 49 QTL,of which eight were multi-environment stable QTL and 27 were located near previously reported QTL.A set of 135 candidate genes near the 49 QTL included TaBOX(F-box family protein)and TaERF(ethylene-responsive transcription factor).A Tabox mutant was more sensitive to low-N stress than the wild-type plant.We developed two functional markers for Hap 1,the favorable allele of TaBOX.

Genome-Wide Association Study of Cooked Rice Textural Attributes and Starch Physicochemical Properties in indica Rice

Rice cooking and eating qualities(CEQ)are mainly determined by cooked rice textural parameters and starch physicochemical properties.However,the genetic bases of grain texture and starch properties in rice have not been fully understood.We conducted a genome-wide association study for apparent amylose content(AAC),starch pasting viscosities,and cooked rice textural parameters using 279 indica rice accessions from the 3000 Rice Genome Project.We identified 26 QTLs in the whole population and detected single nucleotide polymorphisms(SNPs)with the lowest P-value at the Waxy(Wx)locus for all traits except pasting temperature and cohesiveness.Additionally,we detected significant SNPs at the SUBSTANDARD STARCH GRAIN6(SSG6)locus for AAC,setback(SB),hardness,adhesiveness,chewiness(CHEW),gumminess(GUM),and resilience.We subsequently divided the population using a SNP adjacent to the Waxy locus,and identified 23 QTLs and 12 QTLs in two sub-panels,WxT and WxA,respectively.In these sub-panels,SSG6 was also identified to be associated with pasting parameters,including peak viscosity,hot paste viscosity,cold paste viscosity,and consistency viscosity.Furthermore,a candidate gene encoding monosaccharide transporter 5(OsMST5)was identified to be associated with AAC,breakdown,SB,CHEW,and GUM.In total,39 QTLs were co-localized with known genes or previously reported QTLs.These identified genes and QTLs provide valuable information for genetic manipulation to improve rice CEQ.

Genome-wide and candidate gene association studies identify BnPAP17 as conferring the utilization of organic phosphorus in oilseed rape

Phosphorus(P)is essential for living plants,and P deficiency is one of the key factors limiting the yield in rapeseed production worldwide.As the most important organ for plants,root morphology traits(RMTs)play a key role in P absorption.To investigate the genetic variability of RMT under low P availability,we dissected the genetic structure of RMTs by genome-wide association studies(GWAS),linkage mapping and candidate gene association studies(CGAS).A total of 52 suggestive loci were associated with RMTs under P stress conditions in 405 oilseed rape accessions.The purple acid phosphatase gene BnPAP17 was found to control the lateral root number(LRN)and root dry weight(RDW)under low P stress.The expression of BnPAP17 was increased in shoot tissue in P-efficient cultivars compared to root tissue and P-inefficient cultivars in response to low P stress.Moreover,the haplotype of BnPAP17^(Hap3)was detected for the selective breeding of P efficiency in oilseed rape.Over-expression of the BnPAP17^(Hap3)could promote the shoot and root growth with enhanced tolerance to low P stress and organic phosphorus(Po)utilization in oilseed rape.Collectively,these findings increase our understanding of the mechanisms underlying BnPAP17-mediated low P stress tolerance in oilseed rape.

Association of eczema with risk of pan-cancers:a two-sample Mendelian randomization study

Background:Both eczema and tumor are associated with immune disorders.Although several investigations have observed the rela-tionship between eczema and certain cancers,evidence for causality is lacking.Methods:We conducted a two-sample Mendelian randomization(MR)study to examine and explore the genetic association between eczema and pan-cancers.Upon satisfying the three core assumptions of MR,we analyzed the causality between eczema and 15 site-specific cancers utilizing an inverse variance weighted method.We verified the results through a series of sensitivity and reverse direction analyses.The exposure and outcome datasets were substituted from the FinnGen and genome-wide association studies catalog data-bases.A meta-analysis on primary and validation analyses was performed to combine the estimates of MR study.Results:Based on the MR analysis results,eczema was associated with an increased risk of lung cancer(odds ratio[OR]=1.0427,95%confidence interval[CI]=1.0082–1.0783,P=0.0148)and brain cancer(OR=1.0285,95%CI=1.0120–1.0452,P=0.0007)and de-creased risk of colorectal cancer(OR=0.9324,95%CI=0.8774–0.9909,P=0.0242)and malignant neoplasm of the kidney(OR=0.9323,95%CI=0.8834–0.9839,P=0.0108).The sensitivity analysis indicated that the results were stable and reliable,and the reverse MR analyses demonstrated no causation between the cancers of interest and eczema.Conclusions:Our results identified eczema as a genetic risk factor for lung and brain cancer and a protective factor for colorectal cancer and malignant neoplasm of the kidney.No connection was observed between eczema and other cancers.Further evidence from epide-miological and mechanistic studies is needed to elucidate these findings in detail.

Association between PPARG genetic polymorphisms and ischemic stroke risk in a northern Chinese Han population: a case-control study

Two common polymorphisms of the peroxisome proliferator-activated receptor gamma(PPARG) gene, rs1801282 and rs3856806, may be important candidate gene loci affecting the susceptibility to ischemic stroke. This case-control study sought to identify the relationship between these two single-nucleotide polymorphisms and ischemic stroke risk in a northern Chinese Han population. A total of 910 ischemic stroke participants were recruited from the First Hospital of China Medical University, Shenyang, China as a case group, of whom 895 completed the study. The 883 healthy controls were recruited from the Health Check Center of the First Hospital of China Medical University, Shenyang, China. All participants or family members provided informed consent. The study protocol was approved by the Ethics Committee of the First Hospital of China Medical University, China on February 20, 2012(approval No. 2012-38-1). The protocol was registered with the Chinese Clinical Trial Registry(registration number: ChiCTR-COC-17013559). Plasma genomic DNA was extracted from all participants and analyzed for rs1801282 and rs3856806 single nucleotide polymorphisms using a SNaPshot Multiplex sequencing assay. Odds ratios(ORs) and 95% confidence intervals(CIs) were calculated using unconditional logistic regression to estimate the association between ischemic stroke and a particular genotype. Results demonstrated that the G allele frequency of the PPARG gene rs1801282 locus was significantly higher in the case group than in the control group(P < 0.001). Individuals carrying the G allele had a 1.844 fold increased risk of ischemic stroke(OR = 1.844, 95% CI: 1.286–2.645, P < 0.001). Individuals carrying the rs3856806 T allele had a 1.366 fold increased risk of ischemic stroke(OR = 1.366, 95% CI: 1.077–1.733, P = 0.010). The distribution frequencies of the PPARG gene haplotypes rs1801282-rs3856806 in the control and case groups were determined. The frequency of distribution in the G-T haplotype case group was significantly higher than that in the control group. The risk of ischemic stroke increased to 2.953 times in individuals carrying the G-T haplotype(OR = 2.953, 95% CI: 2.082–4.190, P < 0.001). The rs1801282 G allele and rs3856806 T allele had a multiplicative interaction(OR = 3.404, 95% CI: 1.631–7.102, P < 0.001) and additive interaction(RERI = 41.705, 95% CI: 14.586–68.824, AP = 0.860;95% CI: 0.779–0.940;S = 8.170, 95% CI: 3.772–17.697) on ischemic stroke risk, showing a synergistic effect. Of all ischemic stroke cases, 86% were attributed to the interaction of the G allele of rs1801282 and the T allele of rs3856806. The effect of the PPARG rs1801282 G allele on ischemic stroke risk was enhanced in the presence of the rs3856806 T allele(OR = 8.001 vs. 1.844). The effect of the rs3856806 T allele on ischemic stroke risk was also enhanced in the presence of the rs1801282 G allele(OR = 2.546 vs. 1.366). Our results confirmed that the G allele of the PPARG gene rs1801282 locus and the T allele of the rs3856806 locus may be independent risk factors for ischemic stroke in the Han population of northern China, with a synergistic effect between the two alleles.

Associations between coagulation factorⅫ,coagulation factorⅪ,and stability of venous thromboembolism:A case-control study

BACKGROUND Pulmonary embolism(PE)is a fatal clinical syndrome that is generally caused by an embolus from unstable deep venous thrombosis(DVT).However,clinical and biochemical factors that are related to the stability of DVT are not fully understood.AIM To evaluate the relationships between plasma antigen levels of factor XII(FXII:Ag)and factor XI(FXI:Ag)with the stability of DVT.METHODS Patients with DVT and no PE,DVT and PE,and controls with no DVT or PE that matched for age,gender,and comorbidities were included in this study.FXII:Ag and FXI:Ag in peripheral venous blood were measured using enzyme-linked immunosorbent assays.RESULTS Using the 95th percentile of FXI:Ag in patients with DVT and PE as the cut-off,a higher FXI:Ag was associated with a higher risk of unstable DVT(odds ratio:3.15,95%confidence interval:1.18-8.43,P=0.019).Stratified analyses showed consistent results in patients≤60 years(P=0.020),but not in those>60 years(P=0.346).CONCLUSION Higher plasma FXI:Ag might be a marker for unstable DVT,which might be associated with PE in these patients.

Comparison of dimension reduction-based logistic regression models for case-control genome-wide association study:principal components analysis vs.partial least squares

With recent advances in biotechnology, genome-wide association study （GWAS） has been widely used to identify genetic variants that underlie human complex diseases and traits. In case-control GWAS, typical statistical strategy is traditional logistical regression （LR） based on single-locus analysis. However, such a single-locus analysis leads to the well-known multiplicity problem, with a risk of inflating type I error and reducing power. Dimension reduction-based techniques, such as principal component-based logistic regression （PC-LR）, partial least squares-based logistic regression （PLS-LR）, have recently gained much attention in the analysis of high dimensional genomic data. However, the perfor- mance of these methods is still not clear, especially in GWAS. We conducted simulations and real data application to compare the type I error and power of PC-LR, PLS-LR and LR applicable to GWAS within a defined single nucleotide polymorphism （SNP） set region. We found that PC-LR and PLS can reasonably control type I error under null hypothesis. On contrast, LR, which is corrected by Bonferroni method, was more conserved in all simulation settings. In particular, we found that PC-LR and PLS-LR had comparable power and they both outperformed LR, especially when the causal SNP was in high linkage disequilibrium with genotyped ones and with a small effective size in simulation. Based on SNP set analysis, we applied all three methods to analyze non-small cell lung cancer GWAS data.

Association between diabetes mellitus,hypertension,hyperlipidemia,chronic viral hepatitis,and the risk of multiple myeloma:a case-control study

Objective This case-control study aimed to investigate whether diabetes mellitus(DM),hypertension,hyperlipidemia,and chronic viral hepatitis are risk factors for multiple myeloma(MM).Moreover,the clinical characteristics of MM patients with or without the abovementioned exposure factors were analyzed.Methods In total,340 MM patients and 680 patients with benign diseases who were hospitalized from January 2012 to December 2017 were classified under the case group and control group,respectively.Data about medical history of DM,hypertension,hyperlipidemia and chronic viral hepatitis were collected by reviewing medical records.Univariate and multivariate analyses were conducted to compare the history of DM,hypertension,hyperlipidemia,and viral hepatitis between the two groups.Considering DM,hypertension,hyperlipidemia,and chronic viral hepatitis as exposure factors,clinical characteristics,such as renal function and presence of fungal and other types of infections,between the exposed and nonexposed groups were analyzed.Results No significant difference was observed in the prevalence of DM,hypertension,and hyperlipidemia between the case and control groups.MM patients had a higher prevalence of chronic viral hepatitis than those with benign diseases.No significant difference was observed in the prevalence of renal dysfunction,fungal infection,and non-fungal infections in MM patients with or without DM,hypertension,and hyperlipidemia.MM patients with chronic viral hepatitis had a significantly higher prevalence of nonfungal infections during hospitalization than those without.Conclusion No significant association was noted between MM and DM,hypertension,and hyperlipidemia.Chronic viral hepatitis is correlated to a significantly higher risk of MM,and MM patients with chronic viral hepatitis were more susceptible to non-fungal infections during hospitalization.Although a non-significant trend was observed in this study,we believe that DM and hypertension might be associated with a higher risk of MM.Thus,large-scale studies must be conducted to validate the results of the current study.

Genome-wide association study reveals novel loci for adult type 1 diabetes in a 5-year nested case-control study

BACKGROUND Type 1 diabetes(T1D)is a severe and prevalent metabolic disease.Due to its high heredity,an increasing number of genome-wide association studies have been performed,most of which were from hospital-based case-control studies with a relatively small sample size.The association of single nucleotide polymorphisms(SNPs)and T1D has been less studied and is less understood in natural cohorts.AIM To investigate the significant variants of T1D,which could be potential biomarkers for T1D prediction or even therapy.METHODS A genome-wide association study(GWAS)of adult T1D was performed in a nested case-control study(785 cases vs 804 controls)from a larger 5-year cohort study in Suzhou,China.Potential harmful or protective SNPs were evaluated for T1D.Subsequent expression and splicing quantitative trait loci(eQTL and sQTL)analyses were carried out to identify target genes modulated by these SNPs.RESULTS A harmful SNP for T1D,rs3117017[odds ratio(OR)=3.202,95%confidence interval(CI):2.296-4.466,P=9.33×10-4]and three protective SNPs rs55846421(0.113,0.081-0.156,1.76×10-9),rs75836320(0.283,0.205-0.392,1.07×10-4),rs362071(0.568,0.495-0.651,1.66×10-4)were identified.Twenty-two genes were further identified as potential candidates for T1D onset.CONCLUSION We identified a potential genetic basis of T1D,both protective and harmful,using a GWAS in a larger nested case-control study of a Chinese population.

CASE-CONTROL ASSOCIATION STUDIES OF THE UBAP1 GENE AND NASOPHARYNGEAL CARCINOMA IN SOUTHERN CHINESE

Objective: To identify the relation between nasopharyngeal carcinoma and the human novel gene UBAP1, which is located in the region of minimal heterozygosity deletion at 9pl3.2 and down-expressed in NPC. Methods: Five single nucleotide polymorphisms (SNPs) within UBAP1 gene were analysed by sequencing in 105 NPC patients and 183 control subjects which matched to the NPC cases on age, sex and residence. Results: Significant association was found between NPC with one SNP mark (rs1049557), which is located at 3' non-region of UBAP1 gene; the relative risk of this SNP mark is 1.64 (genotype GG) and 1.31 (genotype CG). Conclusion: The result has proved again that UBAP1 gene may play a certain role in the occurrence and development of nasopharyngeal carcinoma. The SNP mark rs1049557, considering its location, may influence the expression of UBAP1 gene.

A Nested Case-Control Study to Explore the Association between Immunoglobulin G N-glycans and Ischemic Stroke

Objective This study prospectively investigates the association between immunoglobulin G(IgG)N-glycan traits and ischemic stroke(IS) risk.Methods A nested case-control study was conducted in the China suboptimal health cohort study,which recruited 4,313 individuals in 2013–2014. Cases were identified as patients diagnosed with IS, and controls were 1:1 matched by age and sex with cases. Ig G N-glycans in baseline plasma samples were analyzed.Results A total of 99 IS cases and 99 controls were included, and 24 directly measured glycan peaks(GPs) were separated from Ig G N-glycans. In directly measured GPs, GP4, GP9, GP21, GP22, GP23, and GP24 were associated with the risk of IS in men after adjusting for age, waist and hip circumference,obesity, diabetes, hypertension, and dyslipidemia. Derived glycan traits representing decreased galactosylation and sialylation were associated with IS in men(FBG2S2/(FBG2 + FBG2S1 + FBG2S2): odds ratio(OR) = 0.92, 95% confidence interval(CI): 0.87–0.97;G1n: OR = 0.74, 95% CI: 0.63–0.87;G0n: OR =1.12, 95% CI: 1.03–1.22). However, these associations were not found among women.Conclusion This study validated that altered Ig G N-glycan traits were associated with incident IS in men, suggesting that sex discrepancies might exist in these associations.

Macrophage migration inhibitory factor gene polymorphisms in inflammatory bowel disease: An association study in New Zealand Caucasians and meta-analysis

AIM:To investigate the association of macrophage migration inhibitory factor(MIF)promoter polymorphisms with inflammatory bowel disease(IBD)risk.METHODS:One thousand and six New Zealand Caucasian cases and 540 Caucasian controls were genotyped for the MIF SNP-173G>C(rs755622)and the repeat polymorphism CATT5-8(rs5844572)using a predesigned TaqMan SNP assay and capillary electrophoresis,respectively.Data were analysed for single site and haplotype association with IBD risk and phenotype.Meta-analysis was employed,to assess cumulative evidence of association of MIF-173G>C with IBD.All published genotype data for MIF-173G>C in IBD were identified using PubMed and subsequently searching the references of all PubMed-identified studies.Imputed genotypes for MIF-173G>C were generated from the Wellcome Trust Case Control Consortium(and National Institute of Diabetes and Digestive and Kidney Diseases).Separate meta-analyses were performed on Caucasian Crohn’s disease(CD)(3863 patients,6031controls),Caucasian ulcerative colitis(UC)(1260 patients,1987 controls),and East Asian UC(416 patients and 789 controls)datasets using the Mantel-Haenszel method.The New Zealand dataset had 93%power,and the meta-analyses had 100%power to detect an effect size of OR=1.40 atα=0.05,respectively.RESULTS:In our New Zealand dataset,single-site analysis found no evidence of association of MIF polymorphisms with overall risk of CD,UC,and IBD or disease phenotype(all P values>0.05).Haplotype analysis found the CATT5/-173C haplotype occurred at a higher frequency in New Zealand controls compared to IBD patients(0.6 vs 0.01;P=0.03,OR=0.22;95%CI:0.05-0.99),but this association did not survive bonferroni correction.Meta-analysis of our New Zealand MIF-173G>C data with data from seven additional Caucasian datasets using a random effects model found no association of MIF polymorphisms with CD,UC,or overall IBD.Similarly,meta-analysis of all published MIF-173G>C data from East Asian datasets(416UC patients,789 controls)found no association of this promoter polymorphism with UC.

Epidemiological studies of esophageal cancer in the era of genome-wide association studies

Esophageal cancer(EC) caused about 395000 deaths in 2010. China has the most cases of EC and EC is the fourth leading cause of cancer death in China. Esophageal squamous cell carcinoma(ESCC) is the predominant histologic type(90%-95%), while the incidence of esophageal adenocarcinoma(EAC) remains extremely low in China. Traditional epidemiological studies have revealed that environmental carcinogens are risk factors for EC. Molecular epidemiological studies revealed that susceptibility to EC is influenced by both environmental and genetic risk factors. Of all the risk factors for EC, some are associated with the risk of ESCC and others with the risk of EAC. However, the details and mechanisms of risk factors involved in the process for EC are unclear. The advanced methods and techniques used in human genome studies bring a great opportunity for researchers to explore and identify the details of those risk factors or susceptibility genes involved inthe process of EC. Human genome epidemiology is a new branch of epidemiology, which leads the epidemiology study from the molecular epidemiology era to the era of genome wide association studies(GWAS). Here we review the epidemiological studies of EC(especially ESCC) in the era of GWAS, and provide an overview of the general risk factors and those genomic variants(genes, SNPs, miRNAs, proteins) involved in the process of ESCC.

Genetic polymorphisms and gastric cancer risk: a comprehensive review synopsis from meta-analysis and genome-wide association studies

Objective: In the past few decades, more than 500 reports have been published on the relationship between single nucleotide polymorphisms(SNPs) on candidate genes and gastric cancer(GC) risk. Previous findings have been disputed and are controversial. Therefore, we performed this article to summarize and assess the credibility and strength of genetic polymorphisms on the risk of GC.Methods: We used Web of Science, PubMed, and Medline to identify meta-analyses published before July 30 th, 2018 that assessed associations between variants on candidate genes and the risk of GC. Cumulative epidemiological evidence of statistical associations was assessed combining Venice criteria and a false-positive report probability(FPRP) test.Results: Sixty-one variants demonstrated a significant association with GC risk, whereas 29 demonstrated no association. Nine variants on nine genes were rated as presenting strong cumulative epidemiological evidence for a nominally significant association with GC risk, including APE1(rs1760944), DNMT1(rs16999593), ERCC5(rs751402), GSTT1(null/presence), MDM2(rs2278744), PPARG(rs1801282), TLR4(rs4986790), IL-17 F(rs763780), and CASP8(rs3834129). Eleven SNPs were rated as moderate, and 33 SNPs were rated as weak. We also used the FPRP test to identify 13 noteworthy SNPs in five genome-wide association studies.Conclusions: Sixty-one variants are significantly associated with GC risk, and 29 variants are not associated with GC risk;however, five variants on five genes presented strong evidence for an association upgraded from moderate. Further study of these variants may be needed in the future. Our study also provides referenced information for the genetic predisposition to GC.

Host genetic factors affecting hepatitis B infection outcomes:Insights from genome-wide association studies

The clinical outcome of hepatitis B virus(HBV) infection depends on the success or failure of the immune responses to HBV,and varies widely among individuals,ranging from asymptomatic self-limited infection,inactive carrier state,chronic hepatitis,cirrhosis,hepatocellular carcinoma,to liver failure,depending on the success or failure of immune response to HBV.Genome-wide association studies(GWAS) identified key genetic factors influencing the pathogenesis of HBV-related traits.In this review,we discuss GWAS for persistence of HBV infection,antibody response to hepatitis B vaccine,and HBV-related advanced liver diseases.HBV persistence is associated with multiple genes with diverse roles in immune mechanisms.The strongest associations are found within the classical human leukocyte antigen(HLA) genes,highlighting the central role of antigen presentation in the immune response to HBV.Associated variants affect both epitope binding specificities and expression levels of HLA molecules.Several other susceptibility genes regulate the magnitude of adaptive immune responses,determining immunity vs tolerance.HBV persistence and nonresponse to vaccine share the same risk variants,implying overlapping genetic bases.On the other hand,the risk variants for HBV-related advanced liver diseases are largely different,suggesting different host-virus dynamics in acute vs chronic HBV infections.The findings of these GWAS are likely to pave the way for developing more effective preventive and therapeutic interventions by personalizing the management of HBV infection.

Implications of discoveries from genome-wide association studies in current cardiovascular practice

Genome-wide association studies(GWAS)have identified several genetic variants associated with coronary heart disease(CHD),and variations in plasma lipoproteins and blood pressure(BP).Loci corresponding to CDKN2A/CDKN2B/ANRIL,MTHFD1L,CELSR2,PSRC1 and SORT1 genes have been associated with CHD,and TMEM57,DOCK7,CELSR2,APOB,ABCG5,HMGCR,TRIB1,FADS2/S3,LDLR,NCAN and TOMM40-APOE with total cholesterol.Similarly,CELSR2-PSRC1-SORT1,PCSK9,APOB,HMGCR,NCAN-CILP2-PBX4,LDLR,TOMM40-APOE,and APOC1-APOE are associated with variations in low-density lipoprotein cholesterol levels.Altogether,forty,forty three and twenty loci have been associated with high-density lipoprotein cholesterol,triglycerides and BP phenotypes,respectively.Some of these identified loci are common for all the traits,some do not map to functional genes,and some are located in genes that encode for proteins not previously known to be involved in the biological pathway of the trait.GWAS have been successful at identifying new and unexpected genetic loci common to diseases and traits,thus rapidly providing key novel insights into disease biology.Since genotype information is fixed,with minimum biological variability,it is useful in early life risk prediction.However,these variants explain only a small proportion of the observed variance of these traits.Therefore,the utility of genetic determinants in assessing risk at later stages of life has limited immediate clinical impact.The future application of genetic screening will be in identifying risk groups early in life to direct targeted preventive measures.

Identification of New Resistance Loci Against Sheath Blight Disease in Rice Through Genome-Wide Association Study

Sheath blight(SB) caused by the soil borne pathogen Rhizoctonia solani is one of the most serious global rice diseases. Breeding resistant cultivar is the most economical and effective strategy to control the disease. However, no rice varieties are completely resistant to SB, and only a few reliable quantitative trait loci(QTLs) linked with SB resistance have been identified to date. In this study, we conducted a genome-wide association study(GWAS) of SB resistance using 299 varieties from the rice diversity panel 1(RDP1) that were genotyped using 44 000 high-density single nucleotide polymorphism(SNP) markers. Through artificial inoculation, we found that only 36.5% of the tested varieties displayed resistance or moderate resistance to SB. In particular, the aromatic and aus sub-populations displayed higher SB resistance than the tropical japonica(TRJ), indica and temperate japonica sub-populations. Seven varieties showed similar resistance levels to the resistant control YSBR1. GWAS identified at least 11 SNP loci significantly associated with SB resistance in the three independent trials, leading to the identification of two reliable QTLs, qSB-3 and qSB-6, on chromosomes 3 and 6. Using favorable alleles or haplotypes of significantly associated SNP loci, we estimated that both QTLs had obvious effects on reducing SB disease severity and can be used for enhancing SB resistance, especially in improving SB resistance of TRJ sub-population rice varieties. These results provided important information and genetic materials for developing SB resistant varieties through breeding.

Myopia genetics in genome-wide association and postgenome-wide association study era

Genome-wide association studies(GWAS) of myopia and refractive error have generated exciting results and identified novel risk-associated loci. However, the interpretation of the findings of GWAS of complex diseases is not straightforward and has remained challenging. This review provides a brief summary of the main focus on the advantages and limitations of GWAS of myopia, with potential strategies that may contribute to further insight into the genetics of myopia in the post-GWAS or omics era.

Genome-Wide Association Study for Certain Carcass Traits and Organ Weights in a Large White×Minzhu Intercross Porcine Population

Porcine carcass traits and organ weights have important economic roles in the swine industry. A total of 576 animals from a Large White×Minzhu intercross population were genotyped using the Illumina PorcineSNP60K Beadchip and were phenotyped for 10 traits, speciifcally, backfat thickness （6-7 libs）, carcass length, carcass weight, foot weight, head weight, heart weight, leaf fat weight, liver weight, lung weight and slaughter body weight. The genome-wide association study （GWAS） was assessed by Genome Wide Rapid Association using the mixed model and regression-genomic control approach. A total of 31 single nucleotide polymorphisms （SNPs） （with the most signiifcant SNP being MARC0033464, P value=6.80×10-13） were located in a 9.76-Mb （31.24-41.00 Mb） region on SSC7 and were found to be signiifcantly associated with one or more carcass traits and organ weights. High percentage of phenotypic variance explanation was observed for each trait ranging from 31.21 to 67.42%. Linkage analysis revealed one haplotype block of 495 kb, in which the most signiifcant SNP being MARC0033464 was contained, on SSC7 at complete linkage disequilibrium. Annotation of the pig reference genome suggested 6 genes （GRM4, HMGA1, NUDT3, RPS10, SPDEF and PACSIN1） in this candidate linkage disequilibrium （LD） interval. Functional analysis indicated that the HMGA1 gene presents the prime biological candidate for carcass traits and organ weights in pig, with potential application in breeding programs.