Heritability and genomics of gene expression in peripheral blood.
- Authors
- Wright, Fred A; Sullivan, Patrick F; Brooks, Andrew I; Zou, Fei; Sun, Wei; Xia, Kai; Madar, Vered; Jansen, Rick; Chung, Wonil; Zhou, Yi-Hui; Abdellaoui, Abdel; Batista, Sandra; Butler, Casey; Chen, Guanhua; Chen, Ting-Huei; D'Ambrosio, David; Gallins, Paul; Ha, Min Jin; Hottenga, Jouke Jan; Huang, Shunping; Kattenberg, Mathijs; Kochar, Jaspreet; Middeldorp, Christel M; Qu, Ani; Shabalin, Andrey; Tischfield, Jay; Todd, Laura; Tzeng, Jung-Ying; van Grootheest, Gerard; Vink, Jacqueline M; Wang, Qi; Wang, Wei; Wang, Weibo; Willemsen, Gonneke; Smit, Johannes H; de Geus, Eco J; Yin, Zhaoyu; Penninx, Brenda W J H; Boomsma, Dorret I
- Year
- 2014
- Journal
- Nature genetics
- PMID
- 24728292
- DOI
- 10.1038/ng.2951
- PMCID
- PMC4012342
We assessed gene expression profiles in 2,752 twins, using a classic twin design to quantify expression heritability and quantitative trait loci (eQTLs) in peripheral blood. The most highly heritable genes (βΌ777) were grouped into distinct expression clusters, enriched in gene-poor regions, associated with specific gene function or ontology classes, and strongly associated with disease designation. The design enabled a comparison of twin-based heritability to estimates based on dizygotic identity-by-descent sharing and distant genetic relatedness. Consideration of sampling variation suggests that previous heritability estimates have been upwardly biased. Genotyping of 2,494 twins enabled powerful identification of eQTLs, which we further examined in a replication set of 1,895 unrelated subjects. A large number of non-redundant local eQTLs (6,756) met replication criteria, whereas a relatively small number of distant eQTLs (165) met quality control and replication standards. Our results provide a new resource toward understanding the genetic control of transcription.
Transcriptome-wide estimates of heritability, based on n=2752 twins. (a) Manhattan plot of h2 P-values for the highest h2 transcript for each of 18,392 genes. The inset (showing PADI2) illustrates that the evidence for heritability is based on higher a correlation between MZ pairs (blue) than between DZ pairs (red). (b) Clustering of 777 genes with h2 q < 0.05. The most heritable genes belong to the cluster with lowest inter-gene correlation, but many significant genes belong to clusters with high inter-gene correlation. (c) Among 43,628 transcripts, the significant proportion (in terms of false discovery q-value) is dependent on mean transcript expression, increasing rapidly for transcripts above an approximate detection threshold (expression β₯ 3.584, determined as the 90th percentile of chrY expression in females).
Gene density and other predictors of heritability, using n=2616 paired co-twins and 18,392 genes. (a) Mean h2 (corrected for gene expression level) vs. density of protein coding genes per autosome, showing that heritability is considerably higher for gene-poor chromosomes. Plot symbol area is proportional to number of array genes per chromosome. (b) Histograms of the permuted enrichment z-statistics for two predictors listed in Table 2. Observed values (blue dots) are extreme compared to the permutations.
Apparent heritability and local IBD effects vs. true underlying distributions. (a) For the twin-based h2 estimates (n=2752, 8818 expressed genes shown), subtracting the effects of sampling variation produces an estimated true distribution (blue). Re-simulating from the fitted true assumed distribution closely approximates the observed h2 (black curve). (b) The analogous expressed-gene results for local IBD effect estimation. (c) Proportions of all 18,392 genes exceeding h2 thresholds for observed data and for the estimated βtrueβ h2 distribution. The MuTHER study (n=856) reported many more extreme h2 values, but the observation is consistent with greater sampling variation due to smaller sample size. (d) The analogous figure using only expressed genes from both studies.
Comparison and replication of eQTL results. (a) Number of unique genes with evidence of local association (q < 0.01, SNP Β± 1 Mb window of gene), depicted for published leukocyte eQTL studies (LCLs, monocytes, and PBLs), as well as subsampling of NTR data (PBLs) using only genotyped markers and moderate QC (n=2494, 43,628 transcripts examined). Sample sizes are corrected for the number of covariates used. The βNTR with final QCβ value applies q<0.001. (b) Overlap of local eQTL findings with two other large blood studies, at q<0.01. (c) Number of unique genes with evidence (q<0.01) for distant (greater than 1Mb) association. The implausible non-monotone pattern for NTR on original expression values illustrates the importance of robust association methods. Using the final QC on NTR data and q<0.001 drops the number of distant eQTLs from over 800 to ~300. The results suggest that many distant associations remain to be discovered, but careful QC is essential. (d) Overlap of distant eQTL findings (q<0.001) with previous studies (within 1 Mb).
Properties of distant eQTLs. (a) 348 eQTLs (gene-SNP pairs) were significant (q < 0.001) and passed the QC procedures and, of these, 165 replicated (q < 0.1) in 1895 NESDA individuals. (b) The 304 SNPs in significant eQTLs were examined for overlap with regulatory features, including DNase/FAIRE and transfactor binding sites, using Variant Effect Predictor (version 2.8) of Ensembl. 54 Most features were not enriched, although the 3 SNPs annotated as 5β² UTR variants all overlap with regulatory features, representing a significant enrichment compared to the total 18.4% overlap of distant eQTL SNPs with regulatory features representing a significant enrichment compared to the total 18.4% overlap of distant eQTL SNPs with regulatory features. (c) The Ο1 value represents the estimated proportion of the transcriptome influenced by the 304 QC-passing SNPs in significant eQTLs. Across all significant bins the cumulative proportion is only ~3%. (d) A distant eQTL hotspot on chr19 was associated with the expression of 12 distant genes, and one local gene (MYO1F). The partial correlation graph suggests that MYO1F expression is independent of the expression of the other distant genes given the expression of the transcription factor SOX13.
| Name | Type |
|---|---|
| 1000 Genomes Project | cohort |
| actin binding local | phenotype |
| adipose local | phenotype |
| Adipose local | drug |
| adiposity | phenotype |
| Affymetrix 6.0 local | cohort |
| Affymetrix 6.0 | drug |
| Affymetrix Expression Console local | drug |
| Affymetrix GeneTitan System local | drug |
| Affymetrix U219 | drug |
| Affymetrix U219 arrays local | drug |
| Alzheimerβs disease | phenotype |
| amyotrophic lateral sclerosis | phenotype |
| anxiety | phenotype |
| APP | gene |
| autism | phenotype |
| autism spectrum disorders | phenotype |
| Beckman Coulter local | drug |
| Biomek FX local | drug |
| BioRobot Universal System local | drug |
| Blood cell counts local | phenotype |
| Blood count-associated SNPs local | variant |
| blood-derived eQTL studies local | cohort |
| blood DNase hypersensitivity local | drug |
| blood/immunity local | phenotype |
| bowel local | phenotype |
| Bowtie | drug |
| Brisbane Systems Genetics twin study local | cohort |
| Caliper AMS90 local | drug |
| cancer | phenotype |
| central nervous system local | phenotype |
| Charcot-Marie-Tooth disease local | phenotype |
| Chemotherapy-induced cytotoxicity local | phenotype |
| chr19 locus local | variant |
| chr6 genes local | gene |
| chromosome 19 local | drug |
| chromosome 6 local | drug |
| Common environment (c2) local | phenotype |
| Crohnβs disease | phenotype |
| DAOA | gene |
| deafness | phenotype |
| depression | phenotype |
| developmental delay | phenotype |
| developmental processes local | phenotype |
| DISC1 | gene |
| disease-associated SNPs | cohort |
| distant eQTL | cohort |
| distant eQTLs local | variant |
| distant SNP local | variant |
| Dizygotic twins local | phenotype |
| DNase I | drug |
| EBV | drug |
| emotional disorders | phenotype |
| Encore Biotin Module local | drug |
| epidermal keratin gene cluster (chr17) local | gene |
| epidermal keratin gene cluster (chr21) local | gene |
| epidermal keratin gene clusters local | gene |
| Epilepsies local | phenotype |
| eQTL enrichment local | phenotype |
| eQTL evidence local | drug |
| eQTLGen Consortium | cohort |
| eQTL hotspot local | phenotype |
| essential genes local | gene |
| European population | cohort |
| exonic SNPs local | variant |
| expressed genes local | gene |
| Expression mean local | phenotype |
| expression phenotypes local | phenotype |
| Expression variance local | phenotype |
| extended MHC region local | variant |
| Fehrmann et al. local | cohort |
| GC content local | phenotype |
| Gencode | drug |
| gene | gene |
| gene conservation local | drug |
| gene density local | drug |
| Gene density local | phenotype |
| gene expression | phenotype |
| gene heritability local | phenotype |
| genes | gene |
| genotype-expression mismatch local | phenotype |
| GO:0050907 local | phenotype |
| GO:0050911 local | phenotype |
| GO pathways local | phenotype |
| GWAS | cohort |
| GWAS genes local | gene |
| HapMap3 | cohort |
| HapMap LCL studies local | cohort |
| HapMap lymphoblastoid cell lines local | cohort |
| HDL cholesterol | phenotype |
| height | phenotype |
| Heparinized whole blood local | drug |
| heritability | phenotype |
| heritability (h2) | phenotype |
| hg19 | drug |
| high_heritability_genes (>0.5) local | phenotype |
| High molecular weight genomic DNA local | drug |
| HLA | gene |
| HomoloGene conservation local | phenotype |
| HT DNA5K/RNA LabChips local | drug |
| Human transcriptomic heritability local | phenotype |
| IBD status local | phenotype |
| IgG Fc fragment receptors local | gene |
| Illumina HT-12 BeadChip | drug |
| Immune and hematological abnormalities local | phenotype |
| immune function | phenotype |
| immune-related diseases local | phenotype |
| Immunochip | drug |
| individuals | cohort |
| inflammatory bowel disease | phenotype |
| intergenic SNPs | cohort |
| intronic SNPs | cohort |
| KEGG pathways local | phenotype |
| LCLs local | drug |
| LCLs local | phenotype |
| local eQTL | cohort |
| local h2-equivalents local | phenotype |
| local IBD-based heritability local | phenotype |
| local SNP local | variant |
| MaCH | drug |
| MAF bins local | drug |
| mental retardation | phenotype |
| MHC region | gene |
| moderate_heritability_genes (>0.3) local | phenotype |
| Monozygotic twins local | phenotype |
| morphological traits local | phenotype |
| mouse mutagenesis screens local | cohort |
| Muscular dystrophy local | phenotype |
| MuTHER local | cohort |
| MuTHER LCL study local | cohort |
| MuTHER study | cohort |
| MYOF1 local | gene |
| NESDA | cohort |
| Netherlands Twin Register | cohort |
| neuronal protocadherin gene cluster local | gene |
| NHGRI disease status local | phenotype |
| NHGRI-EBI GWAS catalog | cohort |
| NHGRI GWAS local | cohort |
| NTR | cohort |
| NTR samples local | cohort |
| NuGEN local | drug |
| OMIM local | cohort |
| OMIM disease status local | phenotype |
| OMIM/NHGRI designation local | phenotype |
| other tissues local | anatomy |
| Ovation Pico WTA reagents local | drug |
| PAXgene Blood RNA MDx Kit local | drug |
| PAXgene Blood RNA tubes local | drug |
| peripheral blood local | anatomy |
| peripheral blood | drug |
| Peripheral venous blood local | drug |
| Perlegen four-chip platform local | drug |
| polymorphic SNP local | variant |
| PSEN2 | gene |
| psychiatric disorders | phenotype |
| Puregene DNA isolation kits local | drug |
| Qiagen | drug |
| Recent evolutionary acceleration in primates and humans local | phenotype |
| RGS12 local | gene |
| RGS4 | gene |
| risk factor | phenotype |
| Rutgers University Cell and DNA Repository local | drug |
| schizophrenia | phenotype |
| selection local | phenotype |
| sex inconsistency local | phenotype |
| skin | drug |
| skin local | phenotype |
| SNP | cohort |
| SOX13 local | gene |
| steady-state transcription in peripheral blood local | phenotype |
| SYT13 local | gene |
| TMEM134 local | gene |
| total heritability local | phenotype |
| transcript | gene |
| transcriptomic heritability local | phenotype |
| transcripts | gene |
| true IBD proportions local | phenotype |
| Twin cohort | cohort |
| twin set 1 local | cohort |
| Twin set 1 local | cohort |
| twin set 2 local | cohort |
| Twin set 2 local | cohort |
| Twin zygosity local | cohort |
| twin zygosity comparisons local | cohort |
| type 2 diabetes | phenotype |
| U219 local | cohort |
| ulcerative colitis | phenotype |
| Unique environment (e2) local | phenotype |
| unrelated twins local | cohort |
| up/downstream SNPs local | variant |
| VU Medical Center local | drug |
| Westra et al. local | cohort |
| X chromosome | drug |
| Zeller et al. | cohort |
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In this knowledge base
External
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| Molecular Systems Biology of Neurodevelopmental Disorders, Rett Syndrome as an Archetype. | Faundez V et al. | β | 2019 | β |
| Pathway-level information extractor (PLIER) for gene expression data. | Mao W et al. | β | 2019 | β |
| RNA sequencing of identical twins discordant for autism reveals blood-based signatures implicating immune and transcriptional dysregulation. | Saffari A et al. | β | 2019 | β |
| Social status alters chromatin accessibility and the gene regulatory response to glucocorticoid stimulation in rhesus macaques. | Snyder-Mackler N et al. | β | 2019 | β |
| The Netherlands Twin Register: Longitudinal Research Based on Twin and Twin-Family Designs. | Ligthart L et al. | β | 2019 | β |
| Tissue-specific sex differences in human gene expression. | Kassam I et al. | β | 2019 | β |
| Trans Effects on Gene Expression Can Drive Omnigenic Inheritance. | Liu X et al. | β | 2019 | β |
| Trans-ethnic kidney function association study reveals putative causal genes and effects on kidney-specific disease aetiologies. | Morris AP et al. | β | 2019 | β |
| A Comprehensive cis-eQTL Analysis Revealed Target Genes in Breast Cancer Susceptibility Loci Identified in Genome-wide Association Studies. | Guo X et al. | β | 2018 | β |
| Airway Mucosal Host Defense Is Key to Genomic Regulation of Cystic Fibrosis Lung Disease Severity. | Polineni D et al. | β | 2018 | β |
| A mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liver. | Strunz T et al. | β | 2018 | β |
| An empirical Bayes approach for multiple tissue eQTL analysis. | Li G et al. | β | 2018 | β |
| Another Round of "Clue" to Uncover the Mystery of Complex Traits. | Verma SS et al. | β | 2018 | β |
| Characterizing the Relation Between Expression QTLs and Complex Traits: Exploring the Role of Tissue Specificity. | Ip HF et al. | β | 2018 | β |
| Circulating insulin-like growth factor I modulates mood and is a biomarker of vulnerability to stress: from mouse to man. | Santi A et al. | β | 2018 | β |
| Crossing Phenotype Heritability and Candidate Gene Expression in Grafted Black-Lipped Pearl Oyster Pinctada margaritifera, an Animal Chimera. | Blay C et al. | β | 2018 | β |
| Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk. | Reshef YA et al. | β | 2018 | β |
| Detecting heritable phenotypes without a model using fast permutation testing for heritability and set-tests. | Schweiger R et al. | β | 2018 | β |
| Establishing a Twin Register: An Invaluable Resource for (Behavior) Genetic, Epidemiological, Biomarker, and 'Omics' Studies. | Odintsova VV et al. | β | 2018 | β |
| Estimation of cis-eQTL effect sizes using a log of linear model. | Palowitch J et al. | β | 2018 | β |
| Expression reflects population structure. | Brown BC et al. | β | 2018 | β |
| Familial resemblances in human whole blood transcriptome. | Tremblay BL et al. | β | 2018 | β |
| Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study. | Jo Hodonsky C et al. | β | 2018 | β |
| Genetics of blood lipids among ~300,000 multi-ethnic participants of the Million Veteran Program. | Klarin D et al. | β | 2018 | β |
| Genetics of <i>trans</i>-regulatory variation in gene expression. | Albert FW et al. | β | 2018 | β |
| GWAS of epigenetic aging rates in blood reveals a critical role for TERT. | Lu AT et al. | β | 2018 | β |
| How powerful are summary-based methods for identifying expression-trait associations under different genetic architectures? | Veturi Y et al. | β | 2018 | β |
| Identification of expression quantitative trait loci associated with schizophrenia and affective disorders in normal brain tissue. | Bhalala OG et al. | β | 2018 | β |
| Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. | Qi T et al. | β | 2018 | β |
| Impact of Genetic Polymorphisms on Human Immune Cell Gene Expression. | Schmiedel BJ et al. | β | 2018 | β |
| Improved estimation of SNP heritability using Bayesian multiple-phenotype models. | Elhezzani NS | β | 2018 | β |
| Integrated Analysis of Gene Expression Differences in Twins Discordant for Disease and Binary Phenotypes. | Tangirala S et al. | β | 2018 | β |
| Integrative genomics identifies new genes associated with severe COPD and emphysema. | Sakornsakolpat P et al. | β | 2018 | β |
| Large-scale transcriptome-wide association study identifies new prostate cancer risk regions. | Mancuso N et al. | β | 2018 | β |
| Leveraging molecular quantitative trait loci to understand the genetic architecture of diseases and complex traits. | Hormozdiari F et al. | β | 2018 | β |
| Longitudinal Relationships Between Parents' and Children's Behavior Need Not Implicate the Influence of Parental Behavior and May Reflect Genetics: Comment on Waldinger and Schulz (2016). | Sherlock JM et al. | β | 2018 | β |
| Prediction of Alzheimer's Disease-Associated Genes by Integration of GWAS Summary Data and Expression Data. | Hao S et al. | β | 2018 | β |
| The association between copy number aberration, DNA methylation and gene expression in tumor samples. | Sun W et al. | β | 2018 | β |
| Tissue-specific impact of FADS cluster variants on FADS1 and FADS2 gene expression. | Reynolds LM et al. | β | 2018 | β |
| Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. | Gusev A et al. | β | 2018 | β |
| Trans-eQTLs identified in whole blood have limited influence on complex disease biology. | Yap CX et al. | β | 2018 | β |
| Using Stochastic Approximation Techniques to Efficiently Construct Confidence Intervals for Heritability. | Schweiger R et al. | β | 2018 | β |
| 2SNP heritability and effects of genetic variants for neutrophil-to-lymphocyte and platelet-to-lymphocyte ratio. | Lin BD et al. | β | 2017 | β |
| An independent component analysis confounding factor correction framework for identifying broad impact expression quantitative trait loci. | Ju JH et al. | β | 2017 | β |
| A Powerful Framework for Integrating eQTL and GWAS Summary Data. | Xu Z et al. | β | 2017 | β |
| Challenges and opportunities for the development of new antipsychotic drugs. | Forray C et al. | β | 2017 | β |
| Chromosome contacts in activated T cells identify autoimmune disease candidate genes. | Burren OS et al. | β | 2017 | β |
| Conditional eQTL analysis reveals allelic heterogeneity of gene expression. | Jansen R 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 |
| Context-specific effects of genetic variants associated with autoimmune disease. | Jonkers IH et al. | β | 2017 | β |
| Differential expression analysis for RNAseq using Poisson mixed models. | Sun S et al. | β | 2017 | β |
| Differential gene expression patterns between smokers and non-smokers: cause or consequence? | Vink JM et al. | β | 2017 | β |
| Disease variants alter transcription factor levels and methylation of their binding sites. | Bonder MJ et al. | β | 2017 | β |
| DRD2 co-expression network and a related polygenic index predict imaging, behavioral and clinical phenotypes linked to schizophrenia. | Pergola G et al. | β | 2017 | β |
| Enhanced understanding of the host-pathogen interaction in sepsis: new opportunities for omic approaches. | Goh C et al. | β | 2017 | β |
| Fine-mapping inflammatory bowel disease loci to single-variant resolution. | Huang H et al. | β | 2017 | β |
| Functional Architectures of Local and Distal Regulation of Gene Expression in Multiple Human Tissues. | Liu X et al. | β | 2017 | β |
| Gene co-expression network connectivity is an important determinant of selective constraint. | MΓ€hler N et al. | β | 2017 | β |
| Genetic correlations reveal the shared genetic architecture of transcription in human peripheral blood. | Lukowski SW et al. | β | 2017 | β |
| Genetic effects on gene expression across human tissues. | GTEx Consortium et al. | β | 2017 | β |
| Genetic loci associated with heart rate variability and their effects on cardiac disease risk. | Nolte IM et al. | β | 2017 | β |
| Genome-wide association analysis identifies common variants influencing infant brain volumes. | Xia K et al. | β | 2017 | β |
| Heritability and GWAS Studies for Monocyte-Lymphocyte Ratio. | Lin BD et al. | β | 2017 | β |
| Incorporation of Biological Knowledge Into the Study of Gene-Environment Interactions. | Ritchie MD et al. | β | 2017 | β |
| Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex Traits. | Mancuso N et al. | β | 2017 | β |
| Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney. | Wain LV et al. | β | 2017 | β |
| Quantifying the regulatory effect size of <i>cis</i>-acting genetic variation using allelic fold change. | Mohammadi P et al. | β | 2017 | β |
| Risk alleles of genes with monoallelic expression are enriched in gain-of-function variants and depleted in loss-of-function variants for neurodevelopmental disorders. | Savova V et al. | β | 2017 | β |
| RL-SKAT: An Exact and Efficient Score Test for Heritability and Set Tests. | Schweiger R et al. | β | 2017 | β |
| The Genetic Architecture of Gene Expression in Peripheral Blood. | Lloyd-Jones LR et al. | β | 2017 | β |
| Transcriptome-wide association study revealed two novel genes associated with nonobstructive azoospermia in a Chinese population. | Jiang T et al. | β | 2017 | β |
| What has GWAS done for HLA and disease associations? | Kennedy AE et al. | β | 2017 | β |
| Aberrant Functional Whole-Brain Network Architecture in Patients With Schizophrenia: A Meta-analysis. | Kambeitz J et al. | β | 2016 | β |
| Abundant contribution of short tandem repeats to gene expression variation in humans. | Gymrek M et al. | β | 2016 | β |
| A cis-eQTL in AHI1 confers risk to schizophrenia in European populations. | Ren Z et al. | β | 2016 | β |
| A combined analysis of genome-wide expression profiling of bipolar disorder in human prefrontal cortex. | Wang J et al. | β | 2016 | β |
| Characterization of Expression Quantitative Trait Loci in Pedigrees from Colombia and Costa Rica Ascertained for Bipolar Disorder. | Peterson CB et al. | β | 2016 | β |
| Common Genetic Polymorphisms Influence Blood Biomarker Measurements in COPD. | Sun W et al. | β | 2016 | β |
| Concerted Genetic Function in Blood Traits. | Kim-Hellmuth S et al. | β | 2016 | β |
| Consistency of biological networks inferred from microarray and sequencing data. | Vinciotti V et al. | β | 2016 | β |
| Designing penalty functions in high dimensional problems: The role of tuning parameters. | Chen TH et al. | β | 2016 | β |
| Fast and Accurate Construction of Confidence Intervals for Heritability. | Schweiger R et al. | β | 2016 | β |
| FastLSU: a more practical approach for the Benjamini-Hochberg FDR controlling procedure for huge-scale testing problems. | Madar V et al. | β | 2016 | β |
| Gene expression elucidates functional impact of polygenic risk for schizophrenia. | Fromer M et al. | β | 2016 | β |
| Gene expression in major depressive disorder. | Jansen R et al. | β | 2016 | β |
| Genetics: From Molecule to Society. | Nivard MG et al. | β | 2016 | β |
| Genetic sources of population epigenomic variation. | Taudt A et al. | β | 2016 | β |
| Imputing Gene Expression in Uncollected Tissues Within and Beyond GTEx. | Wang J et al. | β | 2016 | β |
| Integrative approaches for large-scale transcriptome-wide association studies. | Gusev A et al. | β | 2016 | β |
| Limits of Peripheral Blood Mononuclear Cells for Gene Expression-Based Biomarkers in Juvenile Idiopathic Arthritis. | Wong L et al. | β | 2016 | β |
| Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine. | Gormley P 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 |
| Person-Specific Non-shared Environmental Influences in Intra-individual Variability: A Preliminary Case of Daily School Feelings in Monozygotic Twins. | Zheng Y et al. | β | 2016 | β |
| Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues. | Wheeler HE et al. | β | 2016 | β |
| The brain-derived neurotrophic factor pathway, life stress, and chronic multi-site musculoskeletal pain. | Generaal E et al. | β | 2016 | β |
| The heritability and patterns of DNA methylation in normal human colorectum. | Rowlatt A et al. | β | 2016 | β |
| VRK2 gene expression in schizophrenia, bipolar disorder and healthy controls. | Tesli M et al. | β | 2016 | β |
| Aberrant gene expression in humans. | Zeng Y et al. | β | 2015 | β |
| Accurate and fast multiple-testing correction in eQTL studies. | Sul JH et al. | β | 2015 | β |
| Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance. | Crowley JJ et al. | β | 2015 | β |
| Calling genotypes from public RNA-sequencing data enables identification of genetic variants that affect gene-expression levels. | Deelen P et al. | β | 2015 | β |
| Converging evidence does not support GIT1 as an ADHD risk gene. | Klein M et al. | β | 2015 | β |
| 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 |
| Expression Quantitative Trait Loci Information Improves Predictive Modeling of Disease Relevance of Non-Coding Genetic Variation. | Croteau-Chonka DC et al. | β | 2015 | β |
| Expression quantitative trait locus analysis for translational medicine. | Gibson G et al. | β | 2015 | β |
| Fast eQTL Analysis for Twin Studies. | Yin Z 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 |
| Generalised Anxiety Disorder--A Twin Study of Genetic Architecture, Genome-Wide Association and Differential Gene Expression. | Davies MN et al. | β | 2015 | β |
| Genetic analysis for a shared biological basis between migraine and coronary artery disease. | Winsvold BS et al. | β | 2015 | β |
| Genetic and epigenetic fine mapping of causal autoimmune disease variants. | Farh KK et al. | β | 2015 | β |
| Genetic basis of autoimmunity. | Marson A et al. | β | 2015 | β |
| Genomic modulators of gene expression in human neutrophils. | Naranbhai V et al. | β | 2015 | β |
| High density methylation QTL analysis in human blood via next-generation sequencing of the methylated genomic DNA fraction. | McClay JL et al. | β | 2015 | β |
| In-silico analysis of inflammatory bowel disease (IBD) GWAS loci to novel connections. | Mesbah-Uddin M et al. | β | 2015 | β |
| In Silico Post Genome-Wide Association Studies Analysis of C-Reactive Protein Loci Suggests an Important Role for Interferons. | Vaez A et al. | β | 2015 | β |
| Integrative network analysis reveals molecular mechanisms of blood pressure regulation. | Huan T et al. | β | 2015 | β |
| Longitudinal weight differences, gene expression and blood biomarkers in BMI-discordant identical twins. | van Dongen J et al. | β | 2015 | β |
| Quantitative variability of 342 plasma proteins in a human twin population. | Liu Y et al. | β | 2015 | β |
| The genetic architecture of gene expression levels in wild baboons. | Tung J et al. | β | 2015 | β |
| The genetics of loneliness: linking evolutionary theory to genome-wide genetics, epigenetics, and social science. | Goossens L et al. | β | 2015 | β |
| The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study. | Winkler TW et al. | β | 2015 | β |
| The role of regulatory variation in complex traits and disease. | Albert FW et al. | β | 2015 | β |
| A meta-analysis of gene expression quantitative trait loci in brain. | Kim Y et al. | β | 2014 | β |
| Approaches for establishing the function of regulatory genetic variants involved in disease. | Knight JC | β | 2014 | β |
| Biological insights from 108 schizophrenia-associated genetic loci. | Schizophrenia Working Group of the Psychiatric Genomics Consortium | β | 2014 | β |
| Ethanol treatment of lymphoblastoid cell lines from alcoholics and non-alcoholics causes many subtle changes in gene expression. | McClintick JN et al. | β | 2014 | β |
| Genetics of gene expression in immunity to infection. | Fairfax BP et al. | β | 2014 | β |
| Genome-wide association study of sexual maturation in males and females highlights a role for body mass and menarche loci in male puberty. | Cousminer DL et al. | β | 2014 | β |
| Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases. | Gusev A et al. | β | 2014 | β |
| Transcriptional targets of the schizophrenia risk gene MIR137. | Collins AL et al. | β | 2014 | β |