Trait-associated SNPs are more likely to be eQTLs: annotation to enhance discovery from GWAS.
- Authors
- Nicolae, Dan L; Gamazon, Eric; Zhang, Wei; Duan, Shiwei; Dolan, M Eileen; Cox, Nancy J
- Year
- 2010
- Journal
- PLoS genetics
- PMID
- 20369019
- DOI
- 10.1371/journal.pgen.1000888
- PMCID
- PMC2848547
Although genome-wide association studies (GWAS) of complex traits have yielded more reproducible associations than had been discovered using any other approach, the loci characterized to date do not account for much of the heritability to such traits and, in general, have not led to improved understanding of the biology underlying complex phenotypes. Using a web site we developed to serve results of expression quantitative trait locus (eQTL) studies in lymphoblastoid cell lines from HapMap samples (http://www.scandb.org), we show that single nucleotide polymorphisms (SNPs) associated with complex traits (from http://www.genome.gov/gwastudies/) are significantly more likely to be eQTLs than minor-allele-frequency-matched SNPs chosen from high-throughput GWAS platforms. These findings are robust across a range of thresholds for establishing eQTLs (p-values from 10(-4)-10(-8)), and a broad spectrum of human complex traits. Analyses of GWAS data from the Wellcome Trust studies confirm that annotating SNPs with a score reflecting the strength of the evidence that the SNP is an eQTL can improve the ability to discover true associations and clarify the nature of the mechanism driving the associations. Our results showing that trait-associated SNPs are more likely to be eQTLs and that application of this information can enhance discovery of trait-associated SNPs for complex phenotypes raise the possibility that we can utilize this information both to increase the heritability explained by identifiable genetic factors and to gain a better understanding of the biology underlying complex traits.
Trait-associated SNPs are more likely to be eQTLs.The distribution of the number of eQTLs (defined as p<10β4 left panel, p<10β6 middle panel, and p<10β8 right panel) observed for each of 1,000 draws of 1,598 SNPs from bins matched for minor allele frequency to the 1,598 SNPs downloaded from the NHGRI catalog (bins include all SNPs in the Illumina 1M and Affymetrix 6.0 products) is shown in the bar graphs, with the actual number of eQTLs observed in the 1,598 SNPs from the NHGRI catalog shown as a solid circle.
SNPs with the highest eQTL function scores are enriched for WTCCC Crohn's susceptibility loci.SNPs were ordered according to their eQTL function scores from most significant to least significant and divided in groups of 10,000. Only the data from the first 13 groups is shown (as 13 index bins along the X-axis) because fewer than 130K SNPs have expression scores larger than zero. Each point in the graph corresponds to eQTL function score bins and the y-axis shows the number of SNPs in each bin that have WTCCC Crohn's GWAS p-values less than 0.01. The horizontal line illustrates the expectation based on the observed number of SNPs in the whole GWAS that have p-values smaller than 0.01. The proportion of the remaining SNPs with p smaller than 0.01 is 0.014. The dotted lines represent estimated 95% confidence bands obtained using simulations.
SNPs with the strongest evidence for association in WTCCC Crohn's disease are more likely to have eQTL function scores >3.SNPs have been ordered according to their WTCCC Crohn's association p-values from the most to the least significant, and divided in groups of 10,000. For each group bin of 10,000 trait-associated SNPs, the number of SNPs with expression score larger than 3 was calculated and the results are shown in the scatterplot. The horizontal line illustrates the expectation based on the observed eQTL function scores in all SNPs in the WTCCC Crohn's dataset. The dotted lines represent estimated 95% confidence bands obtained using simulations.
SNPs with the highest eQTL function scores are enriched for WTCCC T1D and RA susceptibility loci.The plots show results of eQTL enrichment analyses for the remaining Wellcome Trust phenotypes beginning with SNPs having the highest expression scores (similar to analyses for Crohn's disease summarized in Figure 2). SNPs have been ordered according to their expression score from most significant to least significant and divided in groups of 10,000. Only the data from the first 13 groups is shown. The six plots correspond to the six other diseases investigated in the initial WTCCC GWAS. The dotted lines represent estimated 95% confidence bands obtained using simulations.
SNPs with the strongest evidence for association with WTCCC T1D, RA, hypertension, and bipolar disorder are more likely to have eQTL function scores >3.The plots show results of eQTL enrichment analysis for the remaining Wellcome Trust phenotypes beginning with the SNPs most strongly associated with disease (similar to analyses for Crohn's disease summarized in Figure 3). For each disease, SNPs have been ordered according to their association p-values from the most to the least significant, and divided in groups of 10,000. For each group, the number of SNPs with expression score larger than 3 was calculated and the results are shown in the scatterplots. The horizontal lines illustrate the expectation based on the observed scores in all SNPs in the relevant WTCCC dataset. The dotted lines represent estimated 95% confidence bands obtained using simulations.
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| A Genomewide Integrative Analysis of GWAS and eQTLs Data Identifies Multiple Genes and Gene Sets Associated with Obesity. | Liu L et al. | β | 2018 | β |
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| Trans-eQTLs identified in whole blood have limited influence on complex disease biology. | Yap CX et al. | β | 2018 | β |
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| Weak sharing of genetic association signals in three lung cancer subtypes: evidence at the SNP, gene, regulation, and pathway levels. | O'Brien TD et al. | β | 2018 | β |
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| A Dementia-Associated Risk Variant near TMEM106B Alters Chromatin Architecture and Gene Expression. | Gallagher MD et al. | β | 2017 | β |
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| Biological networks in Parkinson's disease: an insight into the epigenetic mechanisms associated with this disease. | Chatterjee P et al. | β | 2017 | β |
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| Characterization of noncoding regulatory DNA in the human genome. | Elkon R et al. | β | 2017 | β |
| Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk. | Hoffman JD et al. | β | 2017 | β |
| Cis-SNPs Set Testing and PrediXcan Analysis for Gene Expression Data using Linear Mixed Models. | Zeng P et al. | β | 2017 | β |
| Clinical and Genome-Wide Analysis of Cisplatin-Induced Peripheral Neuropathy in Survivors of Adult-Onset Cancer. | Dolan ME et al. | β | 2017 | β |
| Comprehensive evaluation of disease- and trait-specific enrichment for eight functional elements among GWAS-identified variants. | Markunas CA et al. | β | 2017 | β |
| Constraints on eQTL Fine Mapping in the Presence of Multisite Local Regulation of Gene Expression. | Zeng B et al. | β | 2017 | β |
| Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. | McAllister K et al. | β | 2017 | β |
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| Drosophila and genome-wide association studies: a review and resource for the functional dissection of human complex traits. | Wangler MF et al. | β | 2017 | β |
| Dynamic Role of trans Regulation of Gene Expression in Relation to Complex Traits. | Yao C et al. | β | 2017 | β |
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| Enhancing GTEx by bridging the gaps between genotype, gene expression, and disease. | eGTEx Project | β | 2017 | β |
| Environmental perturbations lead to extensive directional shifts in RNA processing. | Richards AL et al. | β | 2017 | β |
| Epigenetics in the Primary Biliary Cholangitis and Primary Sclerosing Cholangitis. | Cheung AC et al. | β | 2017 | β |
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| Evidence of selection on splicing-associated loci in human populations and relevance to disease loci mapping. | Gamazon ER et al. | β | 2017 | β |
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| FIRE: functional inference of genetic variants that regulate gene expression. | Ioannidis NM et al. | β | 2017 | β |
| Floral pathway integrator gene expression mediates gradual transmission of environmental and endogenous cues to flowering time. | van Dijk ADJ et al. | β | 2017 | β |
| Functional interactors of three genome-wide association study genes are differentially expressed in severe chronic obstructive pulmonary disease lung tissue. | Morrow JD et al. | β | 2017 | β |
| Gene-based analysis of regulatory variants identifies 4 putative novel asthma risk genes related to nucleotide synthesis and signaling. | Ferreira MA et al. | β | 2017 | β |
| Genetic architecture of gene expression underlying variation in host response to porcine reproductive and respiratory syndrome virus infection. | Kommadath A et al. | β | 2017 | β |
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| Genetics of Migraine: Insights into the Molecular Basis of Migraine Disorders. | Sutherland HG et al. | β | 2017 | β |
| Genetics of pleiotropic effects of dexamethasone. | Ramsey LB et al. | β | 2017 | β |
| Genetic variants in the transcription regulatory region of MEGF10 are associated with autism in Chinese Han population. | Wu Z et al. | β | 2017 | β |
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| Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation. | Hoffmann TJ et al. | β | 2017 | β |
| Genome-Wide Association Study Implicates Atrial Natriuretic Peptide Rather Than B-Type Natriuretic Peptide in the Regulation of Blood Pressure in the General Population. | Salo PP et al. | β | 2017 | β |
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| Genome-Wide Prioritization and Transcriptomics Reveal Novel Signatures Associated With Thiazide Diuretics Blood Pressure Response. | Shahin MH et al. | β | 2017 | β |
| Genomic inbreeding depression for climatic adaptation of tropical beef cattle. | Reverter A et al. | β | 2017 | β |
| Genotype-based gene signature of glioma risk. | Huang YT et al. | β | 2017 | β |
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| Human genetic variation in <i>VAC14</i> regulates <i>Salmonella</i> invasion and typhoid fever through modulation of cholesterol. | Alvarez MI et al. | β | 2017 | β |
| Identification of breast cancer associated variants that modulate transcription factor binding. | Liu Y et al. | β | 2017 | β |
| Identifying <i>cis</i>-mediators for <i>trans</i>-eQTLs across many human tissues using genomic mediation analysis. | Yang F et al. | β | 2017 | β |
| <i>LPA</i> Gene Polymorphisms and Gene Expression Associated with Coronary Artery Disease. | Song ZK et al. | β | 2017 | β |
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| Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex Traits. | Mancuso N et al. | β | 2017 | β |
| Integrating Genome-Wide Association and eQTLs Studies Identifies the Genes and Gene Sets Associated with Diabetes. | Liang X et al. | β | 2017 | β |
| Integration of expression quantitative trait loci and pleiotropy identifies a novel psoriasis susceptibility gene, PTPN1. | Yin X et al. | β | 2017 | β |
| Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs. | Ballester M et al. | β | 2017 | β |
| Integrative genetic analysis suggests that skin color modifies the genetic architecture of melanoma. | Hulur I et al. | β | 2017 | β |
| Integrative Genomics of Emphysema-Associated Genes: Are We Closer to Identifying the Genetic Determinants of Lung Function? | Sharma S | β | 2017 | β |
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| Limited statistical evidence for shared genetic effects of eQTLs and autoimmune-disease-associated loci in three major immune-cell types. | Chun S et al. | β | 2017 | β |
| Living in an adaptive world: Genomic dissection of the genus <i>Homo</i> and its immune response. | Quach H et al. | β | 2017 | β |
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| Melanoma risk alleles are associated with downregulation of the MTAP gene and hypermethylation of a CpG island upstream of the gene in dermal fibroblasts. | Sangalli A et al. | β | 2017 | β |
| MeQTL analysis of childhood obesity links epigenetics with a risk SNP rs17782313 near MC4R from meta-analysis. | Tang Y et al. | β | 2017 | β |
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| Network-directed cis-mediator analysis of normal prostate tissue expression profiles reveals downstream regulatory associations of prostate cancer susceptibility loci. | Larson NB et al. | β | 2017 | β |
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| Review: Enhancers in Autoimmune Arthritis: Implications and Therapeutic Potential. | Peeters JGC et al. | β | 2017 | β |
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| Spatial and temporal expression patterns of genes around nine neuroticism-associated loci. | Ohi K et al. | β | 2017 | β |
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| SZGR 2.0: a one-stop shop of schizophrenia candidate genes. | Jia P et al. | β | 2017 | β |
| Trans-ethnic predicted expression genome-wide association analysis identifies a gene for estrogen receptor-negative breast cancer. | Gao G et al. | β | 2017 | β |
| Type 1 diabetes genome-wide association studies: not to be lost in translation. | Pociot F | β | 2017 | β |
| Abundant contribution of short tandem repeats to gene expression variation in humans. | Gymrek M et al. | β | 2016 | β |
| Advances in Dyslexia Genetics-New Insights Into the Role of Brain Asymmetries. | Paracchini S et al. | β | 2016 | β |
| A genetic variation associated with plasma erythropoietin and a non-coding transcript of PRKAR1A in sickle cell disease. | Zhang X et al. | β | 2016 | β |
| Allelic Imbalance in Regulation of ANRIL through Chromatin Interaction at 9p21 Endometriosis Risk Locus. | Nakaoka H et al. | β | 2016 | β |
| An integrated molecular landscape implicates theΒ regulation of dendritic spine formation throughΒ insulin-related signalling in obsessive-compulsive disorder. | van de Vondervoort I et al. | β | 2016 | β |
| A pilot integrative genomics study of GABA and glutamate neurotransmitter systems in suicide, suicidal behavior, and major depressive disorder. | Yin H et al. | β | 2016 | β |
| Association of genetic variations and gene expression in a family-based study. | Pitsillides AN et al. | β | 2016 | β |
| Asthma Genetics in the Post-GWAS Era. | Ober C | β | 2016 | β |
| A variant at 9p21.3 functionally implicates CDKN2B in paediatric B-cell precursor acute lymphoblastic leukaemia aetiology. | Hungate EA et al. | β | 2016 | β |
| Bipartite Community Structure of eQTLs. | Platig J et al. | β | 2016 | β |
| Blood gene expression studies in migraine: Potential and caveats. | Gerring Z et al. | β | 2016 | β |
| Colocalization of GWAS and eQTL Signals Detects Target Genes. | Hormozdiari F et al. | β | 2016 | β |
| Combining genomewide association study and lung eQTL analysis provides evidence for novel genes associated with asthma. | Nieuwenhuis MA et al. | β | 2016 | β |
| Complex genetics of pulmonary diseases: lessons from genome-wide association studies and next-generation sequencing. | Pouladi N et al. | β | 2016 | β |
| Comprehensive promoter level expression quantitative trait loci analysis of the human frontal lobe. | Blauwendraat C et al. | β | 2016 | β |
| Consensus Genome-Wide Expression Quantitative Trait Loci and Their Relationship with Human Complex Trait Disease. | Yu CH et al. | β | 2016 | β |
| Decoding the non-coding genome: elucidating genetic risk outside the coding genome. | Barr CL et al. | β | 2016 | β |
| DNA methylation in lung cells is associated with asthma endotypes and genetic risk. | Nicodemus-Johnson J et al. | β | 2016 | β |
| eQTL analysis links inflammatory bowel disease associated 1q21 locus to ECM1 gene. | Repnik K et al. | β | 2016 | β |
| eSNPO: An eQTL-based SNP Ontology and SNP functional enrichment analysis platform. | Li J et al. | β | 2016 | β |
| Expressional profiling of prostate cancer risk SNPs at 11q13.5 identifies DGAT2 as a new target gene. | Nurminen R et al. | β | 2016 | β |
| Expression of asthma susceptibility genes in bronchial epithelial cells and bronchial alveolar lavage in the Severe Asthma Research Program (SARP) cohort. | Li X et al. | β | 2016 | β |
| Finding lost genes in GWAS via integrative-omics analysis reveals novel sub-networks associated with preterm birth. | Brubaker D et al. | β | 2016 | β |
| Fine-scale mapping of 8q24 locus identifies multiple independent risk variants for breast cancer. | Shi J et al. | β | 2016 | β |
| From GWAS to function: lessons from blood cells. | Vasquez LJ et al. | β | 2016 | β |
| Functional Analysis of a Novel Genome-Wide Association Study Signal in SMAD3 That Confers Protection From Coronary Artery Disease. | Turner AW et al. | β | 2016 | β |
| Functional Characterization of Schizophrenia-Associated Variation in CACNA1C. | Eckart N et al. | β | 2016 | β |
| Gene-set and multivariate genome-wide association analysis of oppositional defiant behavior subtypes in attention-deficit/hyperactivity disorder. | Aebi M et al. | β | 2016 | β |
| Genetic risk variants for autoimmune diseases that influence gene expression in thymus. | Gabrielsen IS et al. | β | 2016 | β |
| Genetics of systemic lupus erythematosus and SjΓΆgren's syndrome: an update. | Teruel M et al. | β | 2016 | β |
| Genetic susceptibility to rheumatoid arthritis and its implications for novel drug discovery. | Yarwood A et al. | β | 2016 | β |
| Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis. | van Rheenen W et al. | β | 2016 | β |
| Genome-wide association studies of autoimmune vitiligo identify 23 new risk loci and highlight key pathways and regulatory variants. | Jin Y et al. | β | 2016 | β |
| Genome-Wide Studies of Type 2 Diabetes and Lipid Traits in Hispanics. | Below JE et al. | β | 2016 | β |
| Genotype by watering regime interaction in cultivated tomato: lessons from linkage mapping and gene expression. | Albert E et al. | β | 2016 | β |
| GWASdb v2: an update database for human genetic variants identified by genome-wide association studies. | Li MJ et al. | β | 2016 | β |
| Identification of expression quantitative trait loci of RPTOR for susceptibility to glioma. | Huang L et al. | β | 2016 | β |
| Identification of STOML2 as a putative novel asthma risk gene associated with IL6R. | Revez JA et al. | β | 2016 | β |
| Impact of the X Chromosome and sex on regulatory variation. | Kukurba KR et al. | β | 2016 | β |
| Implication of NOTCH1 gene in susceptibility to anxiety and depression among sexual abuse victims. | Steine IM et al. | β | 2016 | β |
| Integrating Epigenomic Elements and GWASs Identifies BDNF Gene Affecting Bone Mineral Density and Osteoporotic Fracture Risk. | Guo Y et al. | β | 2016 | β |
| Integration of genome-wide association and extant brain expression QTL identifies candidate genes influencing prepulse inhibition in inbred F1 mice. | Sittig LJ et al. | β | 2016 | β |
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| Integrative genomics analyses unveil downstream biological effectors of disease-specific polymorphisms buried in intergenic regions. | Li H et al. | β | 2016 | β |
| Investigation of Splicing Quantitative Trait Loci in <i>Arabidopsis thaliana</i>. | Yoo W et al. | β | 2016 | β |
| Leveraging gene-environment interactions and endotypes for asthma gene discovery. | BΓΈnnelykke K et al. | β | 2016 | β |
| Lymphoblastoid Cell Lines as a Tool to Study Inter-Individual Differences in the Response to Glucose. | Grassi MA et al. | β | 2016 | β |
| Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity. | Sajuthi SP et al. | β | 2016 | β |
| Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine. | Gormley P et al. | β | 2016 | β |
| Methylation QTLs in the developing brain and their enrichment in schizophrenia risk loci. | Hannon E et al. | β | 2016 | β |
| Modeling disease risk through analysis of physical interactions between genetic variants within chromatin regulatory circuitry. | Corradin O et al. | β | 2016 | β |
| New Genome-Wide Methods for Elucidation of Candidate Copy Number Variations (CNVs) Contributing to Alzheimer's Disease Heritability. | Szigeti K | β | 2016 | β |
| One SNP at a Time: Moving beyond GWAS in Psoriasis. | Ray-Jones H et al. | β | 2016 | β |
| PoCos: Population Covering Locus Sets for Risk Assessment in Complex Diseases. | Ayati M et al. | β | 2016 | β |
| QTL underlying some agronomic traits in barley detected by SNP markers. | Wang J et al. | β | 2016 | β |
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| Reasoning over genetic variance information in cause-and-effect models of neurodegenerative diseases. | Naz M et al. | β | 2016 | β |
| RNA splicing is a primary link between genetic variation and disease. | Li YI et al. | β | 2016 | β |
| Role of ATG10 expression quantitative trait loci in non-small cell lung cancer survival. | Xie K et al. | β | 2016 | β |
| Selecting instruments for Mendelian randomization in the wake of genome-wide association studies. | Swerdlow DI et al. | β | 2016 | β |
| Several Critical Cell Types, Tissues, and Pathways Are Implicated in Genome-Wide Association Studies for Systemic Lupus Erythematosus. | Liu L et al. | β | 2016 | β |
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| Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues. | Wheeler HE et al. | β | 2016 | β |
| The genetic basis of systemic lupus erythematosus: What are the risk factors and what have we learned. | Teruel M et al. | β | 2016 | β |
| The Genetics of Transcription Factor DNA Binding Variation. | Deplancke B et al. | β | 2016 | β |
| The importance of p53 pathway genetics in inherited and somatic cancer genomes. | Stracquadanio G et al. | β | 2016 | β |
| The miRNA targetome of coronary artery disease is perturbed by functional polymorphisms identified and prioritized by in-depth bioinformatics analyses exploiting genome-wide association studies. | Bastami M et al. | β | 2016 | β |
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| Dissecting the genetics of the human transcriptome identifies novel trait-related trans-eQTLs and corroborates the regulatory relevance of non-protein coding lociβ . | Kirsten H et al. | β | 2015 | β |
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| eQTL networks unveil enriched mRNA master integrators downstream of complex disease-associated SNPs. | Li H et al. | β | 2015 | β |
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| Expression of suppressor of cytokine signaling 1 (SOCS1) gene dramatically increases in relapsing-remitting multiple sclerosis. | Pahlevan Kakhki M et al. | β | 2015 | β |
| Expression quantitative trait loci (eQTLs) in microRNA genes are enriched for schizophrenia and bipolar disorder association signals. | Williamson VS et al. | β | 2015 | β |
| Expression Quantitative Trait Loci Information Improves Predictive Modeling of Disease Relevance of Non-Coding Genetic Variation. | Croteau-Chonka DC et al. | β | 2015 | β |
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| Functional annotation of HOT regions in the human genome: implications for human disease and cancer. | Li H et al. | β | 2015 | β |
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| Functional variants regulating LGALS1 (Galectin 1) expression affect human susceptibility to influenza A(H7N9). | Chen Y et al. | β | 2015 | β |
| Gene expression in transformed lymphocytes reveals variation in endomembrane and HLA pathways modifying cystic fibrosis pulmonary phenotypes. | O'Neal WK et al. | β | 2015 | β |
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| Genetic Architecture of Lacunar Stroke. | Traylor M et al. | β | 2015 | β |
| Genetic Basis of Common Human Disease: Insight into the Role of Missense SNPs from Genome-Wide Association Studies. | Pal LR et al. | β | 2015 | β |
| Genetic basis of transcriptome diversity in Drosophila melanogaster. | Huang W et al. | β | 2015 | β |
| Genetic Control of Chromatin States in Humans Involves Local and Distal Chromosomal Interactions. | Grubert F et al. | β | 2015 | β |
| Genetic control of gene expression at novel and established chronic obstructive pulmonary disease loci. | Castaldi PJ et al. | β | 2015 | β |
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| Genome-wide and gene-based association implicates FRMD6 in Alzheimer disease. | Hong MG et al. | β | 2012 | β |
| Genome-wide approaches in pharmacogenomics: heritability estimation and pharmacoethnicity as primary challenges. | Gamazon ER et al. | β | 2012 | β |
| Genome-wide association for fear conditioning in an advanced intercross mouse line. | Parker CC et al. | β | 2012 | β |
| Genome-wide association for methamphetamine sensitivity in an advanced intercross mouse line. | Parker CC et al. | β | 2012 | β |
| Genome-wide epigenetic data facilitate understanding of disease susceptibility association studies. | Hardison RC | β | 2012 | β |
| GWASdb: a database for human genetic variants identified by genome-wide association studies. | Li MJ et al. | β | 2012 | β |
| HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants. | Ward LD et al. | β | 2012 | β |
| Haplotypes in the expression quantitative trait locus of interleukin-1Ξ² gene are associated with schizophrenia. | Yoshida M et al. | β | 2012 | β |
| How Can the Comorbidity with ADHD Aid Understanding of Language and Speech Disorders? | Tomblin JB et al. | β | 2012 | β |
| Identifying gene networks underlying the neurobiology of ethanol and alcoholism. | Wolen AR et al. | β | 2012 | β |
| Identifying the genetic variation of gene expression using gene sets: application of novel gene Set eQTL approach to PharmGKB and KEGG. | Abo R et al. | β | 2012 | β |
| Inference of modules associated to eQTLs. | Kreimer A et al. | β | 2012 | β |
| Integrated copy number and gene expression analysis detects a CREB1 association with Alzheimer's disease. | Li Y et al. | β | 2012 | β |
| Integrating genetic and gene expression evidence into genome-wide association analysis of gene sets. | Xiong Q et al. | β | 2012 | β |
| Integration of disease-specific single nucleotide polymorphisms, expression quantitative trait loci and coexpression networks reveal novel candidate genes for type 2 diabetes. | Kang HP et al. | β | 2012 | β |
| Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain. | Hernandez DG et al. | β | 2012 | β |
| Integrative genomics: quantifying significance of phenotype-genotype relationships from multiple sources of high-throughput data. | Gamazon ER et al. | β | 2012 | β |
| Interpreting noncoding genetic variation in complex traits and human disease. | Ward LD et al. | β | 2012 | β |
| Linking disease associations with regulatory information in the human genome. | Schaub MA et al. | β | 2012 | β |
| Liver expression quantitative trait loci: a foundation for pharmacogenomic research. | Glubb DM et al. | β | 2012 | β |
| Loci nominally associated with autism from genome-wide analysis show enrichment of brain expression quantitative trait loci but not lymphoblastoid cell line expression quantitative trait loci. | Davis LK et al. | β | 2012 | β |
| Lung eQTLs to help reveal the molecular underpinnings of asthma. | Hao K et al. | β | 2012 | β |
| Lymphoblastoid cell lines in pharmacogenomic discovery and clinical translation. | Wheeler HE et al. | β | 2012 | β |
| Mapping gene-environment interactions at regulatory polymorphisms: insights into mechanisms of phenotypic variation. | Maranville JC et al. | β | 2012 | β |
| Mapping Novel Pathways in Cardiovascular Disease Using eQTL Data: The Past, Present, and Future of Gene Expression Analysis. | Gupta RM et al. | β | 2012 | β |
| Mapping of gene expression reveals CYP27A1 as a susceptibility gene for sporadic ALS. | Diekstra FP et al. | β | 2012 | β |
| Mixed effects modeling of proliferation rates in cell-based models: consequence for pharmacogenomics and cancer. | Im HK et al. | β | 2012 | β |
| New advances in the genetic basis of atrial fibrillation. | Mahida S et al. | β | 2012 | β |
| Nutritional regulation of genome-wide association obesity genes in a tissue-dependent manner. | Yoganathan P et al. | β | 2012 | β |
| PACSIN2 polymorphism influences TPMT activity and mercaptopurine-related gastrointestinal toxicity. | Stocco G et al. | β | 2012 | β |
| Pathway analysis of genomic data: concepts, methods, and prospects for future development. | Ramanan VK et al. | β | 2012 | β |
| Patterns of cis regulatory variation in diverse human populations. | Stranger BE et al. | β | 2012 | β |
| Population differences in transcript-regulator expression quantitative trait loci. | Bushel PR et al. | β | 2012 | β |
| Population structure of pigs determined by single nucleotide polymorphisms observed in assembled expressed sequence tags. | Matsumoto T et al. | β | 2012 | β |
| QTL/microarray approach using pathway information. | Matsuda H et al. | β | 2012 | β |
| RCM: a novel association approach to search for coronary artery disease genetic related metabolites based on SNPs and metabolic network. | Li X et al. | β | 2012 | β |
| Relating human genetic variation to variation in drug responses. | Madian AG et al. | β | 2012 | β |
| Resolving the variable genome and epigenome in human disease. | Knight JC | β | 2012 | β |
| Systematic localization of common disease-associated variation in regulatory DNA. | Maurano MT et al. | β | 2012 | β |
| The Brisbane Systems Genetics Study: genetical genomics meets complex trait genetics. | Powell JE et al. | β | 2012 | β |
| The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genes. | Cusanovich DA et al. | β | 2012 | β |
| Unraveling the regulatory mechanisms underlying tissue-dependent genetic variation of gene expression. | Fu J et al. | β | 2012 | β |
| Using prior information from the medical literature in GWAS of oral cancer identifies novel susceptibility variant on chromosome 4--the AdAPT method. | Johansson M et al. | β | 2012 | β |
| Variants affecting exon skipping contribute to complex traits. | Lee Y et al. | β | 2012 | β |
| An integrative functional genomics approach for discovering biomarkers in schizophrenia. | Vawter MP et al. | β | 2011 | β |
| Annotating individual human genomes. | Torkamani A et al. | β | 2011 | β |
| Combining genome-wide association mapping and transcriptional networks to identify novel genes controlling glucosinolates in Arabidopsis thaliana. | Chan EK et al. | β | 2011 | β |
| Detecting gene-gene interactions in prostate disease in African American men. | Reams RR et al. | β | 2011 | β |
| Discovery of active enhancers through bidirectional expression of short transcripts. | Melgar MF et al. | β | 2011 | β |
| Genetics of sputum gene expression in chronic obstructive pulmonary disease. | Qiu W et al. | β | 2011 | β |
| Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa. | Zhao K et al. | β | 2011 | β |
| Genome-wide functional analysis of the cotton transcriptome by creating an integrated EST database. | Xie F et al. | β | 2011 | β |
| Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci. | Patsopoulos NA et al. | β | 2011 | β |
| Mapping rare and common causal alleles for complex human diseases. | Raychaudhuri S | β | 2011 | β |
| Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data. | Cooper GM et al. | β | 2011 | β |
| Trans-eQTLs reveal that independent genetic variants associated with a complex phenotype converge on intermediate genes, with a major role for the HLA. | Fehrmann RS et al. | β | 2011 | β |
| Variants at 6q21 implicate PRDM1 in the etiology of therapy-induced second malignancies after Hodgkin's lymphoma. | Best T et al. | β | 2011 | β |