Joint mouse-human phenome-wide association to test gene function and disease risk.
- Authors
- Wang, Xusheng; Pandey, Ashutosh K; Mulligan, Megan K; Williams, Evan G; Mozhui, Khyobeni; Li, Zhengsheng; Jovaisaite, Virginija; Quarles, L Darryl; Xiao, Zhousheng; Huang, Jinsong; Capra, John A; Chen, Zugen; Taylor, William L; Bastarache, Lisa; Niu, Xinnan; Pollard, Katherine S; Ciobanu, Daniel C; Reznik, Alexander O; Tishkov, Artem V; Zhulin, Igor B; Peng, Junmin; Nelson, Stanley F; Denny, Joshua C; Auwerx, Johan; Lu, Lu; Williams, Robert W
- Year
- 2016
- Journal
- Nature communications
- PMID
- 26833085
- DOI
- 10.1038/ncomms10464
- PMCID
- PMC4740880
Phenome-wide association is a novel reverse genetic strategy to analyze genome-to-phenome relations in human clinical cohorts. Here we test this approach using a large murine population segregating for βΌ5 million sequence variants, and we compare our results to those extracted from a matched analysis of gene variants in a large human cohort. For the mouse cohort, we amassed a deep and broad open-access phenome consisting of βΌ4,500 metabolic, physiological, pharmacological and behavioural traits, and more than 90 independent expression quantitative trait locus (QTL), transcriptome, proteome, metagenome and metabolome data sets--by far the largest coherent phenome for any experimental cohort (www.genenetwork.org). We tested downstream effects of subsets of variants and discovered several novel associations, including a missense mutation in fumarate hydratase that controls variation in the mitochondrial unfolded protein response in both mouse and Caenorhabditis elegans, and missense mutations in Col6a5 that underlies variation in bone mineral density in both mouse and human.
Overview of phenome data for the BXD cohort.(a) Five pairs of isogenic BXD cohort strainsβBXD43 to BXD102. There are now approximately 100 readily available BXD strains and another 50 that are almost fully inbred. Almost all current phenome data is restricted to the parents, F1 hybrids (B6D2F1 and D2B6F1) and BXD1 through BXD102. (b) Phenome data categorized by type, including classic phenotypes (top and see comprehensive definitions in Supplementary Data 1), metabolic and proteomic trait data (middle), and independent mRNA expression assays (bottom, n=86 unique eQTL data sets, see Supplementary Note 1 Summary Expression Phenome). (c) Body weight data for BXD strains on high-fat (grey) and low-fat (black) diets taken from Wu et al.10. (d) Expression of Bckdhb mRNA and its protein in six tissues for the five BXD strains. Protein data from Wu et al.10
Overview of experimental phenome-wide association.(a) Workflow for the PheWAS analysis. D2 genome was sequenced using Illumina and SOLiD platforms and aligned to the reference genome. Approximately five million sequence and structural variants were identified. A set of high-impact variants including 11,979 missense, 58 nonsense, 70 splice site, 45 frame shift and 276 CNVs spanning at least one gene was used for classic and molecular PheWAS analyses. (b) Whole-genome read coverage. The distribution was generated using combined mapped reads from Illumina and SOLiD, and mapped reads from Illumina and SOLiD platforms individually. (c) Circos plot of sequence and structure variants segregating in the BXD cohort. The outmost circle represents SNP density per 100 kb window (black at the lowest density and orange at the highest density). The second circle represents indel density per 100 kb. The innermost circle represents CNVs. Blue and green ticks indicate D2 losses and gains, respectively. (d) Venn diagram of missense variants predicted to be deleterious by SIFT and PolyPhen2. (e) False positive rate of strong variants. A small subset of each type of variants was selected for validation by Sanger resequencing.
Association analysis for a missense variant in Fh1.(a) Structure of the Fh1 gene showing lyase 1 and fumarase c domains, the former of which contains a missense mutation. (b) Combined eQTL mapping of Fh1 mRNA across 15 tissues. The eigenvalues associated with the first principal component map to Fh1 with a likelihood ratio statistic of >20. The solid red line represents genome-wide significance. The red triangle indicates the genomic position of Fh1. (c) Manhattan plot of an expression phenome scan of molecular traits linked to the Fh1 locus in midbrain. The y-axis shows the βlog10 q values of association, and the x-axis shows positions of 55,681 assays generated using Agilent SurePrint array. (d) QTL heat map of mRNAs involved in the unfolded protein response. The x-axis lists mouse chromosome numbers. Each horizontal line represents the QTL map for a single transcript in midbrain. Transcripts are grouped into three major categoriesβgenes involved in the canonical UPRmt, cytoplasmic heat shock response (HSR) and unfolded protein response in the endoplasmic reticulum (UPRer). A subset of UPRmt genes at the top are strongly modulated by the Fh1 locus on Chr 1 (the intense colours to the upper left). In contrast, none of the UPRer subsets are modulated by Fh1. (e) Principal component analysis plot for six UPRmt transcripts (left). The first two components explain βΌ67% of the variance in expression in hypothalamus. There is significant correlation between UPRmt expression and Fh1 (P=5 Γ 10β8; Pearson product-moment correlation coefficient) (right). (f) Validation that fumarate hydratase selectively controls the UPRmt in C. elegans. The left-most pair of images demonstrates effects of the fum-1 RNAi knockdown on hsp-6::gfp signalβa marker of UPRmt induction. The middle and right panels demonstrate that the fum-1 knockdown does not induce either the UPRer (hsp-4::gfp), or the cytoplasmic heat shock response (hsp-16.2::gfp). (g) Manhattan plot of a phenome scan. The y-axis shows the βlog10 q values of βΌ4,230 phenotypes, and the x-axis shows the 15 phenotypic categories.
Association analysis for missense variants in Col6a5.(a) Twenty missense variants in Col6a5 distributed across 10 von Willebrand factor A-type (vWFA) domains. (b) Differential mRNA expression of Col6a5 in tibias (n=4) measured by rtPCR. The D haplotype (blue, right) has far higher expression than the B haplotype (green) relative to Gapdh. (c) Phenome scan of Col6a5 (rs13480398) across mRNA assays for femur. (d) Phenome scan of Col6a5 (rs13480398) across classic phenotypes. (e) Marked difference in bone density between B6 and D2 parents. Femurs from 12-week-old mice were scanned using high-resolution micro-CT (ΞΌCT40, SCANCO Medical, Bassersdorf, Switzerland). More highly mineralized areas are indicated in red. (f) Difference in material bone density (P=0.02; two-tailed Student's t-test, n=3). (g) Human phenome scan for association of Col6a5 (rs113396273) across BioVU.
Association analysis for nonsense variant in Ahr.(a) Structure of the Ahr gene showing three domains with a nonsense mutation and five missense mutations. The nonsense mutation (*805R) leads to loss of the stop codon, and the addition of 43 C-terminal amino acids. Dotted rectangle to the right is the extended coding region in the D haplotype. (b) Expression phenome scan of Ahr (rs3711448) across liver mRNA levels in the BXDs. (c) Phenome scan of Ahr across classic phenotypes in the BXD strains. Both AHR protein level and cleft palate induced by TCDF injection are strongly linked to Ahr. (d) Manhattan plot showing the association in human between SNP (rs2066853) in AHR and classic phenotypes. The cleft palate phenotype is also associate with AHR in human clinical cohorts.
Association analysis for CNV covering Alad and Hdhd3.(a) The CNV region for Alad and Hdhd3 derived using read-depth information from genome sequencing. Red dots represent at least a two-fold increase in coverage compared with the reference genome. The x-axis shows the reference genomic position of the CNV. Two gene models (that is, Hdhd3 and Alad) are shown in the CNV plot. (b,c) Rank ordered mean expression levels of Hdhd3 and Alad across 67 BXD strains, their parental strains, and F1 crosses. Expression values are normalized on a log2 scale (meanΒ±s.e.m.). Strains with D alleles (red) have higher levels of Alad and Hdhd3 compared with B alleles (green). F1 hybrids (blue) are intermediate. The comparison between B and D alleles for Alad and Hdhd3 are shown in an inset boxplot. (d) The phenome scan of the BXD cohort highlights several interesting potential phenotypes including pain response (thermal nociception), brain deoxycorticosterone levels, and antigenic activity in the spleen. Two triangles represent pigmentation traits that we know are associated with a variant in the linkage disequilibrium block. (e) Manhattan plot obtained after phenome scan of the BioVU EHR data showing the association in humans between a SNP (rs1800435) in ALAD and chronic pain syndrome and several other classic phenotypes.
Compensation for Actc1 loss by upregulation of Acta1 and Acta2.(a) Structure of the cardiac actin gene, Actc1, and the tandem duplication (dotted box) in strains with the D haplotype. (b) Actc1 expression in heart is controlled by a strong cis-eQTL that corresponds precisely to the location of the Actc1 gene on Chr 2 at 114 Mb (solid red triangle). X-axis represents the megabase coordinate on Chr 2 while the y-axis represents the LOD linkage score. Thin horizontal lines provide genome-wide significance thresholds (upper red line at P<0.05 and lower grey line at P<0.63). (c) Mean expression of Actc1, Acta1 and Acta2 highlights the partial compensation for B haplotypes (green, n=24) and D haplotypes (blue, n=12). Expression values are normalized on a log2 scale (meanΒ±s.e.m.). Heart expression data is from GeneNetwork data set GN485 (EPFL/LISP BXD CD-HFD Heart Affy Mouse Gene 2.0 ST (Jan14) RMA). (d,e) Both skeletal muscle and smooth muscle actins (Acta1 and Acta2) also map precisely to Actc1.
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| 60 | Additional information | Accession codes: The raw sequencing data has been submitted to the NCBI Sequence Read Archive under⦠|
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| Mitochondrial function in development and disease. | Rossmann MP et al. | β | 2021 | β |
| Mitochondrial unfolded protein response: An emerging pathway in human diseases. | Zhu L et al. | β | 2021 | β |
| Paraquat Toxicogenetics: Strain-Related Reduction of Tyrosine Hydroxylase Staining in <i>Substantia Nigra</i> in Mice. | Torres-Rojas C et al. | β | 2021 | β |
| Pursuit of precision medicine: Systems biology approaches in Alzheimer's disease mouse models. | Gurdon B et al. | β | 2021 | β |
| Rare functional genetic variants in COL7A1, COL6A5, COL1A2 and COL5A2 frequently occur in Chiari Malformation Type 1. | Urbizu A et al. | β | 2021 | β |
| Selection of Cashmere Fineness Functional Genes by Translatomics. | Zhang Y et al. | β | 2021 | β |
| The mitochondrial unfolded protein response and its diverse roles in cellular stress. | Smyrnias I | β | 2021 | β |
| A Conserved Mito-Cytosolic Translational Balance Links Two Longevity Pathways. | Molenaars M et al. | β | 2020 | β |
| An Age-Related Hearing Protection Locus on Chromosome 16 of BXD Strain Mice. | Zheng QY et al. | β | 2020 | β |
| GeneNetwork: a continuously updated tool for systems genetics analyses | Watson PM et al. | β | 2020 | β |
| Genetic Architecture Associated With Familial Short Stature. | Lin YJ et al. | β | 2020 | β |
| Genetic Dissection of the Regulatory Mechanisms of <i>Ace2</i> in the Infected Mouse Lung. | Xu F et al. | β | 2020 | β |
| Genome-wide transcriptome architecture in a mouse model of Gulf War Illness. | Xu F et al. | β | 2020 | β |
| Identifying modifier genes for hypertrophic cardiomyopathy. | Chen Y et al. | β | 2020 | β |
| Improved mouse models and advanced genetic and genomic technologies for the study of neutrophils. | Hosur V et al. | β | 2020 | β |
| Mouse Systems Genetics as a Prelude to Precision Medicine. | Li H et al. | β | 2020 | β |
| Sex and Strain Variation in Initial Sensitivity and Rapid Tolerance to Ξ9-Tetrahydrocannabinol. | Parks C et al. | β | 2020 | β |
| Systems Genetics of Optic Nerve Axon Necrosis During Glaucoma. | Stiemke AB et al. | β | 2020 | β |
| Tandem mass tag labeling to characterize muscle-specific proteome changes in beef during early postmortem period. | Zhai C et al. | β | 2020 | β |
| The extracellular matrix phenome across species. | Statzer C et al. | β | 2020 | β |
| The Genetic Dissection of <i>Ace2</i> Expression Variation in the Heart of Murine Genetic Reference Population. | Xu F et al. | β | 2020 | β |
| The shaping of immunological responses through natural selection after the Roma Diaspora. | Dobon B et al. | β | 2020 | β |
| Variability and heritability of mouse brain structure: Microscopic MRI atlases and connectomes for diverse strains. | Wang N et al. | β | 2020 | β |
| Advanced Genetic Approaches in Discovery and Characterization of Genes Involved With Osteoporosis in Mouse and Human. | Yuan J et al. | β | 2019 | β |
| Animal models to study bile acid metabolism. | Li J et al. | β | 2019 | β |
| Candidate Regulators of Dyslipidemia in Chromosome 1 Substitution Lines Using Liver Co-Expression Profiling Analysis. | Xu F et al. | β | 2019 | β |
| Comparison and Functional Genetic Analysis of Striatal Protein Expression Among Diverse Inbred Mouse Strains. | Parks C et al. | β | 2019 | β |
| Diet modulates cecum bacterial diversity and physiological phenotypes across the BXD mouse genetic reference population. | Perez-Munoz ME et al. | β | 2019 | β |
| Genetic Dissection of Femoral and Tibial Microarchitecture. | Lu L et al. | β | 2019 | β |
| Genetic Factors Mediate the Impact of Chronic Stress and Subsequent Response to Novel Acute Stress. | Terenina EE et al. | β | 2019 | β |
| Harnessing Genetic Complexity to Enhance Translatability of Alzheimer's Disease Mouse Models: A Path toward Precision Medicine. | Neuner SM et al. | β | 2019 | β |
| High-Diversity Mouse Populations for Complex Traits. | Saul MC et al. | β | 2019 | β |
| Identification of a Functional Non-coding Variant in the GABA <sub><i>A</i></sub> Receptor Ξ±2 Subunit of the C57BL/6J Mouse Reference Genome: Major Implications for Neuroscience Research. | Mulligan MK et al. | β | 2019 | β |
| Identification of Pre-symptomatic Gene Signatures That Predict Resilience to Cognitive Decline in the Genetically Diverse AD-BXD Model. | Neuner SM et al. | β | 2019 | β |
| Signaling and Regulation of the Mitochondrial Unfolded Protein Response. | Naresh NU et al. | β | 2019 | β |
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| An Integrated Systems Genetics and Omics Toolkit to Probe Gene Function. | Li H et al. | β | 2018 | β |
| A systems genetics resource and analysis of sleep regulation in the mouse. | Diessler S et al. | β | 2018 | β |
| Born to Cry: A Genetic Dissection of Infant Vocalization. | Ashbrook DG et al. | β | 2018 | β |
| Cross-species molecular dissection across alcohol behavioral domains. | Farris SP et al. | β | 2018 | β |
| Ethanol-Induced Behavioral Sensitization Alters the Synaptic Transcriptome and Exon Utilization in DBA/2J Mice. | O'Brien MA et al. | β | 2018 | β |
| Genetic cartography of longevity in humans and mice: Current landscape and horizons. | Hook M et al. | β | 2018 | β |
| Genetic Regulation of Plasma Lipid Species and Their Association with Metabolic Phenotypes. | Jha P et al. | β | 2018 | β |
| Integrating Genetic and Gene Co-expression Analysis Identifies Gene Networks Involved in Alcohol and Stress Responses. | Luo J et al. | β | 2018 | β |
| Post-genomic behavioral genetics: From revolution to routine. | Ashbrook DG et al. | β | 2018 | β |
| Profiling DNA methylation differences between inbred mouse strains on the Illumina Human Infinium MethylationEPIC microarray. | Gujar H et al. | β | 2018 | β |
| Quantifying and Localizing the Mitochondrial Proteome Across Five Tissues in A Mouse Population. | Williams EG et al. | β | 2018 | β |
| Repairing Mitochondrial Dysfunction in Disease. | Sorrentino V et al. | β | 2018 | β |
| Reproducibility and replicability of rodent phenotyping in preclinical studies. | Kafkafi N et al. | β | 2018 | β |
| Systems Analyses Reveal Physiological Roles and Genetic Regulators of Liver Lipid Species. | Jha P et al. | β | 2018 | β |
| The aryl hydrocarbon receptor in the crossroad of signalling networks with therapeutic value. | Roman ΓC et al. | β | 2018 | β |
| The mitochondrial UPR: mechanisms, physiological functions and implications in ageing. | Shpilka T et al. | β | 2018 | β |
| Alterations in the expression of a neurodevelopmental gene exert long-lasting effects on cognitive-emotional phenotypes and functional brain networks: translational evidence from the stress-resilient Ahi1 knockout mouse. | Lotan A et al. | β | 2017 | β |
| COL6A5 variants in familial neuropathic chronic itch. | Martinelli-Boneschi F et al. | β | 2017 | β |
| Deep Profiling of Proteome and Phosphoproteome by Isobaric Labeling, Extensive Liquid Chromatography, and Mass Spectrometry. | Bai B et al. | β | 2017 | β |
| Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification. | High AA et al. | β | 2017 | β |
| Fitting tissue chips and microphysiological systems into the grand scheme of medicine, biology, pharmacology, and toxicology. | Watson DE et al. | β | 2017 | β |
| GeneNetwork: A Toolbox for Systems Genetics. | Mulligan MK et al. | β | 2017 | β |
| Genomewide Association Study of Alcohol Dependence Identifies Risk Loci Altering Ethanol-Response Behaviors in Model Organisms. | Adkins AE et al. | β | 2017 | β |
| How mice are indispensable for understanding obesity and diabetes genetics. | Attie AD et al. | β | 2017 | β |
| Initial genetic dissection of serum neuroactive steroids following chronic intermittent ethanol across BXD mouse strains. | Porcu P et al. | β | 2017 | β |
| Metabolomic analysis of insulin resistance across different mouse strains and diets. | StΓΆckli J et al. | β | 2017 | β |
| Multi-omics analysis identifies ATF4 as a key regulator of the mitochondrial stress response in mammals. | QuirΓ³s PM et al. | β | 2017 | β |
| Orbitofrontal Neuroadaptations and Cross-Species Synaptic Biomarkers in Heavy-Drinking Macaques. | Nimitvilai S et al. | β | 2017 | β |
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| Systems genetics identifies a role for Cacna2d1 regulation in elevated intraocular pressure and glaucoma susceptibility. | Chintalapudi SR et al. | β | 2017 | β |
| Variable cardiac Ξ±-actin (Actc1) expression in early adult skeletal muscle correlates with promoter methylation. | Boutilier JK et al. | β | 2017 | β |
| Variable effects of chronic intermittent ethanol exposure on ethanol drinking in a genetically diverse mouse cohort. | Lopez MF et al. | β | 2017 | β |
| Whole exome sequencing of wild-derived inbred strains of mice improves power to link phenotype and genotype. | Chang PL et al. | β | 2017 | β |
| Biomarkers of risk to develop lung cancer in the new screening era. | Atwater T et al. | β | 2016 | β |
| GenToS: Use of Orthologous Gene Information to Prioritize Signals from Human GWAS. | Hoppmann AS et al. | β | 2016 | β |
| Systems genetics identifies Hp1bp3 as a novel modulator of cognitive aging. | Neuner SM et al. | β | 2016 | β |
| Systems proteomics of liver mitochondria function. | Williams EG et al. | β | 2016 | β |
| The Genetic Basis of Baculum Size and Shape Variation in Mice. | Schultz NG et al. | β | 2016 | β |