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Sandeep P, Sharma P, Luhach K, Dhiman N, Kharkwal H, Sharma B. Neuron navigators: A novel frontier with physiological and pathological implications. Mol Cell Neurosci 2023; 127:103905. [PMID: 37972804 DOI: 10.1016/j.mcn.2023.103905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 10/31/2023] [Accepted: 11/09/2023] [Indexed: 11/19/2023] Open
Abstract
Neuron navigators are microtubule plus-end tracking proteins containing basic and serine rich regions which are encoded by neuron navigator genes (NAVs). Neuron navigator proteins are essential for neurite outgrowth, neuronal migration, and overall neurodevelopment along with some other functions as well. The navigator proteins are substantially expressed in the developing brain and have been reported to be differentially expressed in various tissues at different ages. Over the years, the research has found neuron navigators to be implicated in a spectrum of pathological conditions such as developmental anomalies, neurodegenerative disorders, neuropathic pain, anxiety, cancers, and certain inflammatory conditions. The existing knowledge about neuron navigators remains sparse owing to their differential functions, undiscovered modulators, and unknown molecular mechanisms. Investigating the possible role of neuron navigators in various physiological processes and pathological conditions pose as a novel field that requires extensive research and might provide novel mechanistic insights and understanding of these aspects.
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Affiliation(s)
- Parth Sandeep
- Department of Pharmacology, Amity Institute of Pharmacy, Amity University, Uttar Pradesh, Noida, India
| | - Poonam Sharma
- Department of Pharmacology, Amity Institute of Pharmacy, Amity University, Uttar Pradesh, Noida, India
| | - Kanishk Luhach
- Department of Pharmacology, Amity Institute of Pharmacy, Amity University, Uttar Pradesh, Noida, India
| | - Neerupma Dhiman
- Amity Institute of Pharmacy, Amity University, Uttar Pradesh, Noida, India
| | - Harsha Kharkwal
- Amity Natural and Herbal Product Research, Amity Institute of Phytochemistry and Phytomedicine, Amity University, Uttar Pradesh, India
| | - Bhupesh Sharma
- Department of Pharmacology, Amity Institute of Pharmacy, Amity University, Uttar Pradesh, Noida, India.
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Tsedilina TR, Sharova E, Iakovets V, Skorodumova LO. Systematic review of SLC4A11, ZEB1, LOXHD1, and AGBL1 variants in the development of Fuchs' endothelial corneal dystrophy. Front Med (Lausanne) 2023; 10:1153122. [PMID: 37441688 PMCID: PMC10333596 DOI: 10.3389/fmed.2023.1153122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 03/30/2023] [Indexed: 07/15/2023] Open
Abstract
Introduction The pathogenic role of variants in TCF4 and COL8A2 in causing Fuchs' endothelial corneal dystrophy (FECD) is not controversial and has been confirmed by numerous studies. The causal role of other genes, SLC4A11, ZEB1, LOXHD1, and AGBL1, which have been reported to be associated with FECD, is more complicated and less obvious. We performed a systematic review of the variants in the above-mentioned genes in FECD cases, taking into account the currently available population frequency information, transcriptomic data, and the results of functional studies to assess their pathogenicity. Methods Search for articles published in 2005-2022 was performed manually between July 2022 and February 2023. We searched for original research articles in peer-reviewed journals, written in English. Variants in the genes of interest identified in patients with FECD were extracted for the analysis. We classified each presented variant by pathogenicity status according to the ACMG criteria implemented in the Varsome tool. Diagnosis, segregation data, presence of affected relatives, functional analysis results, and gene expression in the corneal endothelium were taken into account. Data on the expression of genes of interest in the corneal endothelium were extracted from articles in which transcriptome analysis was performed. The identification of at least one variant in a gene classified as pathogenic or significantly associated with FECD was required to confirm the causal role of the gene in FECD. Results The analysis included 34 articles with 102 unique ZEB1 variants, 20 articles with 64 SLC4A11 variants, six articles with 26 LOXHD1 variants, and five articles with four AGBL1 variants. Pathogenic status was confirmed for seven SLC4A11 variants found in FECD. No variants in ZEB1, LOXHD1, and AGBL1 genes were classified as pathogenic for FECD. According to the transcriptome data, AGBL1 and LOXHD1 were not expressed in the corneal endothelium. Functional evidence for the association of LOXHD1, and AGBL1 with FECD was conflicting. Conclusion Our analysis confirmed the causal role of SLC4A11 variants in the development of FECD. The causal role of ZEB1, LOXHD1, and AGBL1 variants in FECD has not been confirmed. Further evidence from familial cases and functional analysis is needed to confirm their causal roles in FECD.
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Affiliation(s)
- Tatiana Romanovna Tsedilina
- Laboratory of Human Molecular Genetics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Elena Sharova
- Laboratory of Human Molecular Genetics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
| | - Valeriia Iakovets
- Laboratory of Human Molecular Genetics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
- I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - Liubov Olegovna Skorodumova
- Laboratory of Human Molecular Genetics, Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia
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Hendriks WJAJ, van Cruchten RTP, Pulido R. Hereditable variants of classical protein tyrosine phosphatase genes: Will they prove innocent or guilty? Front Cell Dev Biol 2023; 10:1051311. [PMID: 36755664 PMCID: PMC9900141 DOI: 10.3389/fcell.2022.1051311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 12/28/2022] [Indexed: 01/24/2023] Open
Abstract
Protein tyrosine phosphatases, together with protein tyrosine kinases, control many molecular signaling steps that control life at cellular and organismal levels. Impairing alterations in the genes encoding the involved proteins is expected to profoundly affect the quality of life-if compatible with life at all. Here, we review the current knowledge on the effects of germline variants that have been reported for genes encoding a subset of the protein tyrosine phosphatase superfamily; that of the thirty seven classical members. The conclusion must be that the newest genome research tools produced an avalanche of data that suggest 'guilt by association' for individual genes to specific disorders. Future research should face the challenge to investigate these accusations thoroughly and convincingly, to reach a mature genotype-phenotype map for this intriguing protein family.
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Affiliation(s)
- Wiljan J. A. J. Hendriks
- Department of Cell Biology, Radboud University Medical Centre, Nijmegen, The Netherlands,*Correspondence: Wiljan J. A. J. Hendriks,
| | | | - Rafael Pulido
- Biomarkers in Cancer Unit, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain,Ikerbasque, Basque Foundation for Science, Bilbao, Spain
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Hasegawa M, Taniguchi J, Ueda H, Watanabe M. Twin Study: Genetic and Epigenetic Factors Affecting Circulating Adiponectin Levels. J Clin Endocrinol Metab 2022; 108:144-154. [PMID: 36082629 DOI: 10.1210/clinem/dgac532] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 08/28/2022] [Indexed: 02/03/2023]
Abstract
CONTEXT Clarification of the association among phenotypes, genetic, and environmental factors with clinical laboratory traits can reveal the cause of diseases and assist in developing methods for the prediction and prevention of diseases. It is difficult to investigate the environmental effect on phenotypes using individual samples because their genetic and environmental factors differ, but we can easily investigate the influence of environmental factors using monozygotic (MZ) twins because they have the same genetic factors. OBJECTIVE We aimed to examine the methylation level of CpG sites as an environmental factor affecting adiponectin levels on the basis of the same genetic background using MZ twins and to identify the epigenetic factors related to adiponectin levels and the genetic factors associated with sensitivity to acquired changes in adiponectin. METHODS Using 2 groups built from each twin of 232 MZ twin pairs, we performed a replicated epigenome-wide association study to clarify the epigenetic factors affecting adiponectin levels adjusted by genetic risk score. Moreover, we divided twin pairs into concordant and discordant for adiponectin levels. We conducted a genome-wide association study to identify a genetic background specific for discordance. RESULTS Methylation levels at 38 CpG sites were reproducibly associated with adjusted adiponectin levels, and some of these CpG sites were in genes related to adiponectin, including CDH13. Some genes related to adiponectin or insulin resistance were found to be genetic factors specific for discordance. CONCLUSION We clarified specific epigenetic factors affecting adiponectin levels and genetic factors associated with sensitivity to acquired changes in adiponectin.
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Affiliation(s)
- Mika Hasegawa
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Jumpei Taniguchi
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Hiromichi Ueda
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
| | - Mikio Watanabe
- Department of Clinical Laboratory and Biomedical Sciences, Osaka University, Suita, Osaka 565-0871, Japan
- Graduate School of Medicine, Center for Twin Research, Osaka University Graduate School of Medicine, Suita, Osaka 565-0871, Japan
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Feature Fusion and Detection in Alzheimer’s Disease Using a Novel Genetic Multi-Kernel SVM Based on MRI Imaging and Gene Data. Genes (Basel) 2022; 13:genes13050837. [PMID: 35627222 PMCID: PMC9140721 DOI: 10.3390/genes13050837] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/03/2022] [Accepted: 05/05/2022] [Indexed: 01/27/2023] Open
Abstract
Voxel-based morphometry provides an opportunity to study Alzheimer’s disease (AD) at a subtle level. Therefore, identifying the important brain voxels that can classify AD, early mild cognitive impairment (EMCI) and healthy control (HC) and studying the role of these voxels in AD will be crucial to improve our understanding of the neurobiological mechanism of AD. Combining magnetic resonance imaging (MRI) imaging and gene information, we proposed a novel feature construction method and a novel genetic multi-kernel support vector machine (SVM) method to mine important features for AD detection. Specifically, to amplify the differences among AD, EMCI and HC groups, we used the eigenvalues of the top 24 Single Nucleotide Polymorphisms (SNPs) in a p-value matrix of 24 genes associated with AD for feature construction. Furthermore, a genetic multi-kernel SVM was established with the resulting features. The genetic algorithm was used to detect the optimal weights of 3 kernels and the multi-kernel SVM was used after training to explore the significant features. By analyzing the significance of the features, we identified some brain regions affected by AD, such as the right superior frontal gyrus, right inferior temporal gyrus and right superior temporal gyrus. The findings proved the good performance and generalization of the proposed model. Particularly, significant susceptibility genes associated with AD were identified, such as CSMD1, RBFOX1, PTPRD, CDH13 and WWOX. Some significant pathways were further explored, such as the calcium signaling pathway (corrected p-value = 1.35 × 10−6) and cell adhesion molecules (corrected p-value = 5.44 × 10−4). The findings offer new candidate abnormal brain features and demonstrate the contribution of these features to AD.
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Dueker ND, Beecham A, Wang L, Dong C, Sacco RL, Blanton SH, Rundek T. Rare variants in previously identified linkage regions associated with carotid plaque in Dominican Republic families. PLoS One 2022; 17:e0250799. [PMID: 35020748 PMCID: PMC8754284 DOI: 10.1371/journal.pone.0250799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 04/13/2021] [Indexed: 11/18/2022] Open
Abstract
Carotid plaque is a subclinical measure of atherosclerosis. We have previously shown measures of carotid plaque to be heritable in a sample of 100 Dominican families and found evidence for linkage and association of common variants (CVs) on 7q36, 11p15, 14q32 and 15q23 with plaque presence. Our current study aimed to refine these regions further and identify rare variants (RVs) influencing plaque presence. Therefore, we performed targeted sequencing of the one LOD unit down region on 7q36, 11p15, 14q32 and 15q23 in 12 Dominican families with evidence for linkage to plaque presence. Gene-based RV analyses were performed using the Sequence Association Test for familial data (F-SKAT) under two filtering algorithms; 1. all exonic RVs and 2. non-synonymous RVs. Replication analyses were performed using a sample of 22 Dominican families and 556 unrelated Dominicans with Exome Array data. To identify additional non-synonymous RVs influencing plaque, we looked for co-segregation of RVs with plaque in each of the sequenced families. Our most strongly associated gene with evidence for replication was AMPD3 which showed suggestive association with plaque presence in the sequenced families (exonic RV p = 0.003, nonsynonymous RV p = 0.005) and replication families (exonic RV p = 0.04, nonsynonymous RV p = 0.02). Examination of the sequenced family pedigrees revealed two missense variants on chromosome 11 which co-segregated with plaque presence in one of our families; rs61751342 (located in DENND2B), and rs61760882 (located in RNF141). The rs61751342 missense variant is an eQTL for SCUBE2 in the atrial appendage. Notably, SCUBE2 encodes a protein which interacts with vascular endothelial growth factor (VEGF) receptor 2 to regulate VEGF-induced angiogenesis, thus providing biologic plausibility for this gene in atherosclerosis. In conclusion, using targeted sequencing of previously-identified linkage regions, we have identified suggestive evidence for the role of RVs in carotid plaque pathogenesis.
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MESH Headings
- AMP Deaminase/genetics
- Adaptor Proteins, Signal Transducing/genetics
- Adult
- Aged
- Calcium-Binding Proteins/genetics
- Chromosomes, Human, Pair 11/genetics
- Chromosomes, Human, Pair 14/genetics
- Chromosomes, Human, Pair 15/genetics
- Chromosomes, Human, Pair 7/genetics
- DNA-Binding Proteins/genetics
- Dominican Republic
- Genetic Linkage
- Genotype
- Humans
- Middle Aged
- Pedigree
- Plaque, Atherosclerotic/genetics
- Plaque, Atherosclerotic/pathology
- Polymorphism, Genetic
- Quantitative Trait Loci
- Transcription Factors/genetics
- Tumor Suppressor Proteins/genetics
- Vascular Endothelial Growth Factor Receptor-2/genetics
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Affiliation(s)
- Nicole D. Dueker
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, United States of America
| | - Ashley Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, United States of America
| | - Liyong Wang
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, United States of America
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, United States of America
| | - Chuanhui Dong
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, United States of America
| | - Ralph L. Sacco
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, United States of America
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL, United States of America
| | - Susan H. Blanton
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, United States of America
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, United States of America
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL, United States of America
- * E-mail:
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Xiong J, Niu Y, Liu W, Zeng F, Cheng JF, Chen SQ, Zeng XZ. Effect of L3MBTL3/PTPN9 polymorphisms on risk to alcohol-induced ONFH in Chinese Han population. Neurol Sci 2021; 43:2823-2830. [PMID: 34373992 DOI: 10.1007/s10072-021-05486-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2021] [Accepted: 07/16/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE Alcohol-induced osteonecrosis femoral head necrosis (ONFH) is a disease that seriously affects human health. Abnormal expression of L3MBTL3/PTPN9 gene can cause a variety of human diseases. The purpose of this study is to investigate the effect of L3MBTL3/PTPN9 gene polymorphism on the susceptibility of alcohol-induced ONFH in Chinese Han population. METHODS A total of 308 alcohol-induced ONFH patients and 425 healthy controls were enrolled in this case-control study. Alleles, genotypes, genetic models, haplotypes, and multifactor dimensionality reduction analyses (MDR) based on age-corrected by using odds ratio (OR) and 95% confidence interval (CI) were performed. RESULTS Our result revealed rs2068957 in the L3MBTL3 gene increased the risk of alcohol ONFH under the recessive model after correction. Besides, we also found that rs75393192 in the PTPN9 gene was a protective site in stratification over 40 years of age and stage. In stratified analysis of necrotic sites, we only found that rs2068957 was associated with increased susceptibility of alcohol-induced ONFH under the co-dominant model and recessive model. Haplotype "GC" in the block (rs76107647|rs10851882 in PTPN9 gene) significantly decreased the susceptibility of alcoholic ONFH. CONCLUSIONS Our results provide evidence that L3MBTL3/PTPN9 polymorphisms are associated with alcohol-induced ONFH risk in Chinese Han population.
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Affiliation(s)
- Jun Xiong
- Department of Orthopedic Trauma, the Hainan Affiliated Hospital of Hainan Medical University, No. 19, Xiuhua Road, Haikou, 570311, Hainan Province, China
| | - Yi Niu
- Department of Emergency and Critical Care Medicine, the Haikou Orthopedic and Diabetes Hospital of Shanghai Sixth People's Hospital, No. 3, Changxiu Road, Haikou, 570300, Hainan Province, China
| | - Wei Liu
- Department of Orthopedic Trauma, the Hainan Affiliated Hospital of Hainan Medical University, No. 19, Xiuhua Road, Haikou, 570311, Hainan Province, China
| | - Fan Zeng
- Department of Orthopedic Trauma, the Hainan Affiliated Hospital of Hainan Medical University, No. 19, Xiuhua Road, Haikou, 570311, Hainan Province, China
| | - Jian-Fei Cheng
- Department of Orthopedic Trauma, the Hainan Affiliated Hospital of Hainan Medical University, No. 19, Xiuhua Road, Haikou, 570311, Hainan Province, China
| | - Shi-Qiang Chen
- Department of Orthopedic Trauma, the Hainan Affiliated Hospital of Hainan Medical University, No. 19, Xiuhua Road, Haikou, 570311, Hainan Province, China
| | - Xiang-Zhou Zeng
- Department of Pharmacology, School of Basic Medicine and Life Science, the Hainan Medical University, No. 3, Xueyuan Road, Haikou, 571199, Hainan Province, China.
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Xiao S, Mou Z, Fan D, Zhou H, Zou M, Zou Y, Zhou C, Yang R, Liu J, Zhu S, Li Y, Liu Y, Liu F, Wang W, Zeng B, Li H, Wang D, Liu H. Genome of Tetraploid Fish Schizothorax o'connori Provides Insights into Early Re-diploidization and High-Altitude Adaptation. iScience 2020; 23:101497. [PMID: 32905880 PMCID: PMC7486454 DOI: 10.1016/j.isci.2020.101497] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Revised: 06/10/2020] [Accepted: 08/19/2020] [Indexed: 12/26/2022] Open
Abstract
Whole-genome duplications (WGDs) of Schizothoracinae are believed to have played a significant role in speciation and environmental adaptation on the Qinghai-Tibet Plateau (QTP). Here, we present a genome for Schizothorax o'connori, a QTP endemic fish and showed the species as a young tetraploid with a recent WGD later than ∼1.23 mya. We exhibited that massive insertions between duplicated genomes caused by transposon bursts could induce mutagenesis in adjacent sequences and alter the expression of neighboring genes, representing an early re-diploidization process in a polyploid genome after WGD. Meanwhile, we found that many genes involved in DNA repair and folate transport/metabolism experienced natural selection and might contribute to the environmental adaptation of this species. Therefore, the S. o'connori genome could serve as a young tetraploid model for investigations of early re-diploidization in polyploid genomes and offers an invaluable genetic resource for environmental adaptation studies of the endemic fish of the QTP.
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Affiliation(s)
- Shijun Xiao
- Institute of Fisheries Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
- Department of Computer Science, Wuhan University of Technology, Wuhan, China
- College of Plant Protection, Jilin Agriculture University, Changchun, Jilin, China
| | - Zhenbo Mou
- Institute of Fisheries Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Dingding Fan
- College of Fisheries, Huazhong Agricultural University, Wuhan, China
| | - He Zhou
- College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Ming Zou
- Department of Computer Science, Wuhan University of Technology, Wuhan, China
| | - Yu Zou
- Department of Computer Science, Wuhan University of Technology, Wuhan, China
| | - Chaowei Zhou
- Institute of Fisheries Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
- Department of Aquaculture, College of Animal Science, Southwest University, Chongqing, China
| | - Ruibin Yang
- College of Fisheries, Huazhong Agricultural University, Wuhan, China
| | - Jiaqi Liu
- Department of Computer Science, Wuhan University of Technology, Wuhan, China
| | - Shilin Zhu
- Department of Computer Science, Wuhan University of Technology, Wuhan, China
| | - Yajuan Li
- College of Fisheries and Life Science, Dalian Ocean University, Dalian, China
| | - Yanchao Liu
- Institute of Fisheries Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Fei Liu
- Institute of Fisheries Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Wanliang Wang
- Institute of Fisheries Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Benhe Zeng
- Institute of Fisheries Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
| | - Hong Li
- Novogene Bioinformatics Institute, Beijing, China
| | - Di Wang
- Novogene Bioinformatics Institute, Beijing, China
| | - Haiping Liu
- Institute of Fisheries Science, Tibet Academy of Agricultural and Animal Husbandry Sciences, Lhasa, China
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Dueker ND, Doliner B, Gardener H, Dong C, Beecham A, Della-Morte D, Sacco RL, Blanton SH, Wang L, Rundek T. Extreme Phenotype Approach Suggests Taste Transduction Pathway for Carotid Plaque in a Multi-Ethnic Cohort. Stroke 2020; 51:2761-2769. [PMID: 32811377 PMCID: PMC7483772 DOI: 10.1161/strokeaha.120.028979] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 06/11/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Carotid plaque is a heritable trait and a strong predictor of vascular events. Several loci have been identified for carotid plaque, however, studies in minority populations are lacking. Within a multi-ethnic cohort, we have identified individuals with extreme total carotid plaque area (TCPA), that is, higher or lower TCPA than expected based on traditional vascular risk factors (age, sex, smoking, diabetes mellitus, hypertension, etc). We hypothesized that these individuals are enriched with genetic variants accounting for the plaque burden that cannot be explained by traditional vascular risk factors. Herein, we sought to identify the genetic basis for TCPA using the multi-ethnic cohort. METHODS Three hundred forty participants (170 from each extreme group) from 3 race/ethnic groups (53% Hispanic, 29% non-Hispanic Black, and 18% non-Hispanic White) were genotyped using a genome-wide single-nucleotide polymorphism (SNP) array and imputed using 1000Genome data. SNP-based analyses using logistic regression and gene-based analyses using VEGAS2 were performed within each race/ethnic group and then meta-analyzed. Genes with P<0.001 were included in an overrepresentation enrichment pathway analysis using WebGestalt. Promising findings were tested for association with ischemic stroke using the MEGASTROKE Consortium data set. RESULTS No SNP or gene reached genome-wide significance. In the pathway analysis, GO:0050913 (sensory perception of bitter taste) gene set was significantly enriched (P=4.5×10-6, false discovery rate=0.04), which was confirmed in MEGASTROKE (P=0.01). Within the GO:0050913 gene set, 3 genes were associated with extreme TCPA in our study (P<0.001): TAS2R20, TAS2R50, and ITPR3. In TAS2R50, rs1376251 is the top SNP and has been associated with myocardial infarction by others. In ITPR3, a SNP with high regulatory potential (rs3818527, RegulomeScore=1f), and ITPR3 itself were among the top SNP-based and gene-based results and showed consistent evidence for association in all ethnic groups (P<0.05). CONCLUSIONS Extreme TCPA analysis identified new candidate genes for carotid plaque in understudied populations.
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Affiliation(s)
- Nicole D. Dueker
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL USA
| | - Brett Doliner
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL USA
| | - Hannah Gardener
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL USA
| | - Chuanhui Dong
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL USA
| | - Ashley Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL USA
| | - David Della-Morte
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL USA
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL USA
- Department of Systems Medicine, School of Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Ralph L. Sacco
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL USA
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL USA
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL USA
| | - Susan H. Blanton
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL USA
| | - Liyong Wang
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL USA
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL USA
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL USA
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Oguz C, Sen SK, Davis AR, Fu YP, O’Donnell CJ, Gibbons GH. Genotype-driven identification of a molecular network predictive of advanced coronary calcium in ClinSeq® and Framingham Heart Study cohorts. BMC SYSTEMS BIOLOGY 2017; 11:99. [PMID: 29073909 PMCID: PMC5659034 DOI: 10.1186/s12918-017-0474-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 10/17/2017] [Indexed: 12/23/2022]
Abstract
BACKGROUND One goal of personalized medicine is leveraging the emerging tools of data science to guide medical decision-making. Achieving this using disparate data sources is most daunting for polygenic traits. To this end, we employed random forests (RFs) and neural networks (NNs) for predictive modeling of coronary artery calcium (CAC), which is an intermediate endo-phenotype of coronary artery disease (CAD). METHODS Model inputs were derived from advanced cases in the ClinSeq®; discovery cohort (n=16) and the FHS replication cohort (n=36) from 89 th -99 th CAC score percentile range, and age-matched controls (ClinSeq®; n=16, FHS n=36) with no detectable CAC (all subjects were Caucasian males). These inputs included clinical variables and genotypes of 56 single nucleotide polymorphisms (SNPs) ranked highest in terms of their nominal correlation with the advanced CAC state in the discovery cohort. Predictive performance was assessed by computing the areas under receiver operating characteristic curves (ROC-AUC). RESULTS RF models trained and tested with clinical variables generated ROC-AUC values of 0.69 and 0.61 in the discovery and replication cohorts, respectively. In contrast, in both cohorts, the set of SNPs derived from the discovery cohort were highly predictive (ROC-AUC ≥0.85) with no significant change in predictive performance upon integration of clinical and genotype variables. Using the 21 SNPs that produced optimal predictive performance in both cohorts, we developed NN models trained with ClinSeq®; data and tested with FHS data and obtained high predictive accuracy (ROC-AUC=0.80-0.85) with several topologies. Several CAD and "vascular aging" related biological processes were enriched in the network of genes constructed from the predictive SNPs. CONCLUSIONS We identified a molecular network predictive of advanced coronary calcium using genotype data from ClinSeq®; and FHS cohorts. Our results illustrate that machine learning tools, which utilize complex interactions between disease predictors intrinsic to the pathogenesis of polygenic disorders, hold promise for deriving predictive disease models and networks.
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Affiliation(s)
- Cihan Oguz
- Cardiovascular Disease Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Shurjo K. Sen
- Cardiovascular Disease Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Adam R. Davis
- Cardiovascular Disease Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
| | - Yi-Ping Fu
- Office of Biostatistics Research, Division of Cardiovascular Sciences, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD USA
- Framingham Heart Study, Boston University School of Medicine, Boston, MA USA
| | - Christopher J. O’Donnell
- Framingham Heart Study, Boston University School of Medicine, Boston, MA USA
- Center for Population Genomics, MAVERIC, VA Healthcare System, Boston, MA USA
- Cardiology Section Administration, VA Healthcare System, Boston, MA USA
- Department of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA USA
| | - Gary H. Gibbons
- Cardiovascular Disease Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD USA
- Office of the Director, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD USA
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11
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RNA-seq analysis of the kidneys of broiler chickens fed diets containing different concentrations of calcium. Sci Rep 2017; 7:11740. [PMID: 28924246 PMCID: PMC5603577 DOI: 10.1038/s41598-017-11379-7] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Accepted: 08/23/2017] [Indexed: 01/13/2023] Open
Abstract
Calcium (Ca) is required for normal growth and is involved in cellular physiology, signal transduction, and bone mineralization. In humans, inadequate Ca intake causes hypocalcaemia, and excessive Ca intake causes hypercalcemia. In chicken, Ca is also required for body weight gain and eggshell formation. However, transcriptomic responses to low/high Ca intake, and mechanisms affecting body weight have not been explored. In this study, we performed comparative RNA sequencing (RNA-seq) using the kidney of broiler chickens fed diets containing 0.8, 1.0, and 1.2% Ca. Annotation of RNA-seq data revealed a significant number of differentially expressed genes (DEGs) in the kidney via pairwise comparison using Cufflinks and edgeR. Using edgeR, we identified 12 DEGs; seven overlapped with those found by cufflinks. Seven DEGs were validated by real-time quantitative-PCR (qRT-PCR) in Ca-supplemented kidneys, and the results correlated with the RNA-seq data. DEGs identified by cufflinks/edgeR were subjected to pathway enrichment, protein/protein interaction, and co-occurrence analyses to determine their involvement in disease. The National Research Council (NRC) recommended Ca intake for 21-day post-hatch broilers is about 1.0%. Our findings suggest that higher-than-recommended Ca intake (1.2%) could reduce body weight gain in broilers, and that affected DEGs are related to stress-induced diseases, such as hypertension.
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12
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Wang KS, Liu Y, Xu C, Liu X, Luo X. Family-based association analysis of NAV2 gene with the risk and age at onset of Alzheimer's disease. J Neuroimmunol 2017; 310:60-65. [PMID: 28778446 PMCID: PMC6167010 DOI: 10.1016/j.jneuroim.2017.06.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 06/23/2017] [Accepted: 06/23/2017] [Indexed: 11/19/2022]
Abstract
The neuron navigator 2 (NAV2) gene is highly expressed in brain and involved in the nervous system development and may play a role in Alzheimer's disease (AD). We aimed to investigate the associations of 317 single-nucleotide polymorphisms (SNPs) in the NAV2 gene with the risk and age at onset (AAO) of AD using a family-based sample (1266 AD cases and 1279 healthy relatives). Association with the risk of AD was assessed using family-based association test -generalized estimating equations (FBAT- GEE) statistics while the association with AAO as a quantitative trait was evaluated using the FBAT-Wilcoxon statistic. Single marker analysis showed that 20 SNPs were significantly associated with the risk of AD (top SNP rs7112354 with p=8.46×10-4) and 11 SNPs were associated with AAO (top SNP rs1354269 with p=2.87×10-3). Interestingly, two SNPs rs17614100 and rs12364788 were associated with both the risk (p=1.7×10-2 and 2.71×10-2; respectively) and AAO (p=1.85×10-3 and 6.06×10-3; respectively). Haplotype analyses further supported the results of single marker analyses. In addition, functional analysis showed that NAV2 mRNA had significant expression across ten human brain regions examined and significantly correlated with APOE expression in four of ten regions. The present study is the first study providing evidence of several genetic variants within the NAV2 gene influencing the risk and AAO of AD.
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Affiliation(s)
- Ke-Sheng Wang
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA
- Biological Psychiatry Research Center, Huilongguan Hospital, Beijing, China
| | - Ying Liu
- Department of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA
| | - Chun Xu
- Department of Health and Biomedical Sciences, College of Health Affairs, University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
| | - Xuefeng Liu
- Department of Systems Leadership and Effectiveness Science, School of Nursing, University of Michigan, Ann Arbor, MI 48109-5482, USA
| | - Xingguang Luo
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06516, USA
- Biological Psychiatry Research Center, Huilongguan Hospital, Beijing, China
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13
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Zhou S, Cui M, Yin Z, Li R, Zhu J, Zhou H. Correlation of single nucleotide polymorphisms in the pregnancy-associated plasma protein-A gene with carotid plaques. BMC Cardiovasc Disord 2015; 15:60. [PMID: 26122709 PMCID: PMC4485363 DOI: 10.1186/s12872-015-0041-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2014] [Accepted: 05/22/2015] [Indexed: 01/28/2023] Open
Abstract
Background Pregnancy-associated plasma protein A (PAPP-A) is abundantly expressed in carotid plaques. This study investigated the association between single nucleotide polymorphisms (SNPs) of PAPP-A and the presence of carotid plaques. Methods A total of 408 patients with carotid plaques and 493 controls were included in the study. All subjects were Southern Chinese Han. Carotid plaques were analyzed by computer tomography angiography. PAPP-A SNPs were identified by ligase detection reaction-polymerase chain reaction analysis. The PAPP-A genotypes rs3747823, rs7020782, and rs13290387 were analyzed. Results The rs7020782 C allele genotype correlated with an increased risk of developing carotid plaques under the dominant, recessive, and additive models (adjusted odds ratios: 2.60, 2.36, and 3.48, respectively; P ≤ 0.001). Only C allele-carrying genotypes correlated with a significantly increased risk of carotid plaque based on studies stratified by age and sex under the dominant model. rs7020782 remained significantly associated with the risk of carotid plaque calcification after adjusting for age and potential confounders (adjusted odds ratio, 1.89; 95 % confidence interval, 1.17–3.08; P = 0.010). Conclusions This study found, for the first time, that the A˃C variation of rs7020782 might be an independent risk factor for carotid plaque development and calcification. The determination of such genotypes could provide a new tool for identifying individuals at high risk for carotid atherosclerosis. Electronic supplementary material The online version of this article (doi:10.1186/s12872-015-0041-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Shiming Zhou
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
| | - Min Cui
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
| | - Zegang Yin
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
| | - Rui Li
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
| | - Jie Zhu
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
| | - Huadong Zhou
- Department of Neurology, Daping Hospital, Third Military Medical University, No. 10 Changjiang Branch Road, Daping, Chongqing, 400042, China.
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14
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Shetty PB, Tang H, Feng T, Tayo B, Morrison AC, Kardia SLR, Hanis CL, Arnett DK, Hunt SC, Boerwinkle E, Rao DC, Cooper RS, Risch N, Zhu X. Variants for HDL-C, LDL-C, and triglycerides identified from admixture mapping and fine-mapping analysis in African American families. CIRCULATION. CARDIOVASCULAR GENETICS 2015; 8:106-13. [PMID: 25552592 PMCID: PMC4378661 DOI: 10.1161/circgenetics.114.000481] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND Admixture mapping of lipids was followed-up by family-based association analysis to identify variants for cardiovascular disease in African Americans. METHODS AND RESULTS The present study conducted admixture mapping analysis for total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. The analysis was performed in 1905 unrelated African American subjects from the National Heart, Lung and Blood Institute's Family Blood Pressure Program (FBPP). Regions showing admixture evidence were followed-up with family-based association analysis in 3556 African American subjects from the FBPP. The admixture mapping and family-based association analyses were adjusted for age, age(2), sex, body mass index, and genome-wide mean ancestry to minimize the confounding caused by population stratification. Regions that were suggestive of local ancestry association evidence were found on chromosomes 7 (low-density lipoprotein cholesterol), 8 (high-density lipoprotein cholesterol), 14 (triglycerides), and 19 (total cholesterol and triglycerides). In the fine-mapping analysis, 52 939 single-nucleotide polymorphisms (SNPs) were tested and 11 SNPs (8 independent SNPs) showed nominal significant association with high-density lipoprotein cholesterol (2 SNPs), low-density lipoprotein cholesterol (4 SNPs), and triglycerides (5 SNPs). The family data were used in the fine-mapping to identify SNPs that showed novel associations with lipids and regions, including genes with known associations for cardiovascular disease. CONCLUSIONS This study identified regions on chromosomes 7, 8, 14, and 19 and 11 SNPs from the fine-mapping analysis that were associated with high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides for further studies of cardiovascular disease in African Americans.
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Affiliation(s)
- Priya B Shetty
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Hua Tang
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Tao Feng
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Bamidele Tayo
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Alanna C Morrison
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Sharon L R Kardia
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Craig L Hanis
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Donna K Arnett
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Steven C Hunt
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Eric Boerwinkle
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Dabeeru C Rao
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Richard S Cooper
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Neil Risch
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.)
| | - Xiaofeng Zhu
- From the Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH (P.B.S., T.F., X.Z.); Department of Genetics, Stanford University School of Medicine, Stanford, CA (H.T.); Department of Public Health Sciences, Loyola University of Chicago Stritch School of Medicine, Maywood, IL (B.T., R.S.C.); Division of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health (A.C.M., C.L.H., E.B.); Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (S.L.R.K.); Department of Epidemiology, University of Alabama at Birmingham School of Public Health (D.K.A.); Cardiovascular Genetics Division, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City (S.C.H.); Division of Biostatistics, Washington University in St. Louis School of Medicine, St. Louis, MO (D.C. Rao); and Department of Epidemiology and Biostatistics, University of California, San Francisco (N.R.).
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15
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Cao S, Qin H, Deng HW, Wang YP. A unified sparse representation for sequence variant identification for complex traits. Genet Epidemiol 2014; 38:671-9. [PMID: 25195875 DOI: 10.1002/gepi.21849] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2014] [Revised: 06/23/2014] [Accepted: 07/16/2014] [Indexed: 12/25/2022]
Abstract
Joint adjustment of cryptic relatedness and population structure is necessary to reduce bias in DNA sequence analysis; however, existent sparse regression methods model these two confounders separately. Incorporating prior biological information has great potential to enhance statistical power but such information is often overlooked in many existent sparse regression models. We developed a unified sparse regression (USR) to incorporate prior information and jointly adjust for cryptic relatedness, population structure, and other environmental covariates. Our USR models cryptic relatedness as a random effect and population structure as fixed effect, and utilize the weighted penalties to incorporate prior knowledge. As demonstrated by extensive simulations, our USR algorithm can discover more true causal variants and maintain a lower false discovery rate than do several commonly used feature selection methods. It can handle both rare and common variants simultaneously. Applying our USR algorithm to DNA sequence data of Mexican Americans from GAW18, we replicated three hypertension pathways, demonstrating the effectiveness in identifying susceptibility genetic variants.
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Affiliation(s)
- Shaolong Cao
- Department of Biomedical Engineering, Tulane University, New Orleans, Louisiana, United States of America; Center for Bioinformatics and Genomics, Tulane University, New Orleans, Louisiana, United States of America
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16
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Genetics of atherosclerosis: The power of plaque burden and progression. Atherosclerosis 2012; 223:98-101. [DOI: 10.1016/j.atherosclerosis.2012.03.040] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2012] [Accepted: 03/29/2012] [Indexed: 11/19/2022]
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