Suchergebnisse - "Quantitative Trait Loci/genetics"
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1
Autoren: et al.
Quelle: Zhong, C, Li, X, Guan, D, Zhang, B, Wang, X, Qu, L, Zhou, H, Fang, L, Sun, C, Yang, N & ChickenGTEx Consortium 2024, 'Age-dependent genetic architectures of chicken body weight explored by multidimensional GWAS and molQTL analyses', Journal of Genetics and Genomics, vol. 51, no. 12, pp. 1423-1434. https://doi.org/10.1016/j.jgg.2024.09.003
Schlagwörter: Chickens/genetics, Quantitative Trait Loci, Body Weight, Age-dependent, Body weight, Polymorphism, Single Nucleotide/genetics, Chicken, Polymorphism, Single Nucleotide, Phenotype, Body Weight/genetics, Molecular quantitative loci, FarmGTEx, GWAS, Animals, Quantitative Trait Loci/genetics, Chickens, Genome-Wide Association Study
Dateibeschreibung: application/pdf
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2
Autoren: et al.
Quelle: Shrestha, M, Bai, Z, Gholipourshahraki, T, Hjelholt, A J, Hu, S, Kjolby, M, Rohde, P D & Sørensen, P 2025, 'Enhanced genetic fine mapping accuracy with Bayesian Linear Regression models in diverse genetic architectures', PLOS Genetics, vol. 21, no. 7, e1011783, pp. e1011783. https://doi.org/10.1371/journal.pgen.1011783
Shrestha, M, Bai, Z, Gholipourshahraki, T, Hjelholt, A J, Hu, S, Kjolby, M, Rohde, P D & Sørensen, P 2025, 'Enhanced genetic fine mapping accuracy with Bayesian Linear Regression models in diverse genetic architectures', PLOS Genetics, vol. 21, no. 7, e1011783. https://doi.org/10.1371/journal.pgen.1011783Schlagwörter: Phenotype, Models, Genetic, Genome-Wide Association Study/methods, Linear Models, Humans, Bayes Theorem, Computer Simulation, Chromosome Mapping/methods, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci/genetics, Multifactorial Inheritance/genetics
Dateibeschreibung: application/pdf
Zugangs-URL: https://vbn.aau.dk/da/publications/fd6df624-df6f-4a02-be00-225d1aaf18b6
https://vbn.aau.dk/ws/files/790405434/journal.pgen.1011783.pdf
http://www.scopus.com/inward/record.url?scp=105013156979&partnerID=8YFLogxK
https://doi.org/10.1371/journal.pgen.1011783
https://pure.au.dk/portal/en/publications/fe973afe-9c70-4298-87d1-b6687343d954
https://doi.org/10.1371/journal.pgen.1011783 -
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Autoren: et al.
Quelle: PLoS Genet
PLoS Genetics, Vol 21, Iss 7, p e1011770 (2025)
Song, X, Jin, H, Li, X, Yuan, M, Yang, H, Sato, Y, Kume, H, Ogawa, S, Zhang, C & Mardinoglu, A 2025, ' Systematically identification of survival-associated eQTLs in a Japanese kidney cancer cohort ', PLoS Genetics, vol. 21, no. 7 July, e1011770 . https://doi.org/10.1371/journal.pgen.1011770Schlagwörter: Male, East Asian People, Middle Aged, QH426-470, Prognosis, Asian People/genetics, Polymorphism, Single Nucleotide, Survival Analysis, Kidney Neoplasms/genetics, Cohort Studies, Gene Expression Regulation, Neoplastic, Japan, Carcinoma, Renal Cell/genetics, Exome Sequencing, Genetics, Humans, Female, Quantitative Trait Loci/genetics, Aged, Research Article
Dateibeschreibung: application/pdf
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4
Autoren: et al.
Weitere Verfasser: et al.
Quelle: The New phytologist, vol. 240, no. 6, pp. 2227-2238
Schlagwörter: 2. Zero hunger, [SDV.SA.AGRO] Life Sciences [q-bio]/Agricultural sciences/Agronomy, Quantitative Trait Loci/genetics, Genome, Plant, Polymorphism, Single Nucleotide, Plant Breeding, Phenotype, Triticum/genetics, agronomic trait, crop domestication, durum wheat, phenotypic space, plant functional trait, trait-to-performance mapping, Quantitative Trait Loci, [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy, [SDV.SA.STA] Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture, 15. Life on land, [SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics, [SDV.BV.AP]Life Sciences [q-bio]/Vegetal Biology/Plant breeding, [SDV.SA.STA]Life Sciences [q-bio]/Agricultural sciences/Sciences and technics of agriculture, traitto-performance mapping, [SDV.GEN.GPL] Life Sciences [q-bio]/Genetics/Plants genetics, [SDV.BV.AP] Life Sciences [q-bio]/Vegetal Biology/Plant breeding, Triticum
Dateibeschreibung: application/pdf
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37771248
https://serval.unil.ch/notice/serval:BIB_FE0E67AFA92A
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_FE0E67AFA92A8
https://serval.unil.ch/resource/serval:BIB_FE0E67AFA92A.P001/REF.pdf
https://hal.science/hal-04477541v1
https://hal.science/hal-04477541v1/document
https://doi.org/10.1111/nph.19279 -
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Autoren: et al.
Quelle: Am J Hum Genet
Iakovliev, A, McGurnaghan, S J, Hayward, C, Colombo, M, Lipschutz, D, Spiliopoulou, A, Colhoun, H M & McKeigue, P M 2023, ' Genome-wide aggregated trans-effects on risk of type 1 diabetes : A test of the "omnigenic" sparse effector hypothesis of complex trait genetics ', American Journal of Human Genetics, vol. 110, no. 6, pp. 913-926 . https://doi.org/10.1016/j.ajhg.2023.04.003Schlagwörter: Multifactorial Inheritance, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 1/genetics, Quantitative Trait Loci, Humans, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide/genetics, Quantitative Trait Loci/genetics, Polymorphism, Single Nucleotide, Article, 3. Good health
Dateibeschreibung: application/pdf
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Autoren: et al.
Quelle: Sun, J, Wang, L, Zhou, X, Hu, L, Yuan, S, Bian, Z, Chen, J, Zhu, Y, Farrington, S M, Campbell, H, Ding, K, Zhang, D, Dunlop, M G, Theodoratou, E & Li, X 2023, ' Cross-cancer pleiotropic analysis identifies three novel genetic risk variants for colorectal cancer ', Human Molecular Genetics, vol. 32, no. 12, pp. 2093-2102 . https://doi.org/10.1093/hmg/ddad044
Schlagwörter: Risk, Alcohol Drinking, Quantitative Trait Loci, Polymorphism, Single Nucleotide/genetics, Colorectal Neoplasms/genetics, Polymorphism, Single Nucleotide, 3. Good health, Phosphotransferases (Alcohol Group Acceptor), Genetic Loci, Humans, Genetic Predisposition to Disease, Quantitative Trait Loci/genetics, Colorectal Neoplasms, Genome-Wide Association Study
Dateibeschreibung: application/pdf
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Autoren: et al.
Quelle: Annals of Botany. 131:569-583
Schlagwörter: root system architecture, 2. Zero hunger, 0106 biological sciences, 0301 basic medicine, Brassica napus/genetics, differentially expressed genes, Quantitative Trait Loci, Brassica napus, candidate gene, Chromosome Mapping, 01 natural sciences, Chromosomes, 03 medical and health sciences, quantitative trait locus, Phenotype, Seeds, next-generation sequencing, name=General Medicine, Quantitative Trait Loci/genetics, association mapping, Oilseed rape, Seeds/genetics
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36181516
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Nat Genet
Liu, S, Gao, Y, Canela-Xandri, O, Wang, S, Yu, Y, Cai, W, Li, B, Xiang, R, Chamberlain, A J, Pairo-Castineira, E, D'Mellow, K, Rawlik, K, Xia, C, Yao, Y, Navarro, P, Rocha, D, Li, X, Yan, Z, Li, C, Rosen, B D, Van Tassell, C P, Vanraden, P M, Zhang, S, Ma, L, Cole, J B, Liu, G E, Tenesa, A & Fang, L 2022, 'A multi-tissue atlas of regulatory variants in cattle', Nature Genetics, vol. 54, no. 9, pp. 1438-1447. https://doi.org/10.1038/s41588-022-01153-5Schlagwörter: 0301 basic medicine, 2. Zero hunger, 0303 health sciences, Sequence Analysis, RNA, [SDV]Life Sciences [q-bio], Quantitative Trait Loci, Transcriptome/genetics, Article, [SDV] Life Sciences [q-bio], 03 medical and health sciences, Phenotype, Gene Expression Regulation, RNA, Animals, Cattle, Cattle/genetics, Quantitative Trait Loci/genetics, Transcriptome, Sequence Analysis
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35953587
https://pure.sruc.ac.uk/en/publications/d31f490f-a916-441a-a864-4c505aba3903
https://doi.org/10.1038/s41588-022-01153-5
https://hal.inrae.fr/hal-04102525v1
https://doi.org/10.1038/s41588-022-01153-5
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7613894/pdf/EMS157770.pdf
http://www.scopus.com/inward/record.url?scp=85135833417&partnerID=8YFLogxK
https://pure.au.dk/portal/en/publications/4637a621-77df-485d-9143-a99ebf8030ae
https://doi.org/10.1038/s41588-022-01153-5 -
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Autoren: et al.
Quelle: Bryois, J, Calini, D, Macnair, W, Foo, L, Urich, E, Ortmann, W, Iglesias, V A, Selvaraj, S, Nutma, E, Marzin, M, Amor, S, Williams, A, Castelo-Branco, G, Menon, V, De Jager, P & Malhotra, D 2022, 'Cell-type-specific cis-eQTLs in eight human brain cell types identify novel risk genes for psychiatric and neurological disorders', Nature Neuroscience, vol. 25, no. 8, pp. 1104-1112. https://doi.org/10.1038/s41593-022-01128-z
Schlagwörter: 0301 basic medicine, 0303 health sciences, Genetic Predisposition to Disease/genetics, Quantitative Trait Loci, Brain, Polymorphism, Single Nucleotide, 03 medical and health sciences, Humans, Genetic Predisposition to Disease, Polymorphism, Nervous System Diseases, Quantitative Trait Loci/genetics, Single Nucleotide/genetics, Genome-Wide Association Study
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: NPJ Syst Biol Appl
npj Systems Biology and Applications, Vol 10, Iss 1, Pp 1-15 (2024)Schlagwörter: 0301 basic medicine, 0303 health sciences, QH301-705.5, Quantitative Trait Loci, Kidney, Article, 3. Good health, Chronic/genetics, 03 medical and health sciences, Canonical Correlation Analysis, Genome-Wide Association Study/methods, Humans, Renal Insufficiency, Biology (General), Renal Insufficiency, Chronic, Quantitative Trait Loci/genetics, Genome-Wide Association Study
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Scientific reports, vol. 14, no. 1, pp. 7694
Schlagwörter: Humans, Genome-Wide Association Study, Proteome/genetics, Estonia, Polymorphism, Single Nucleotide, Quantitative Trait Loci/genetics, Blood Proteins/genetics, DNA Copy Number Variations/genetics
Dateibeschreibung: application/pdf
Relation: info:eu-repo/semantics/altIdentifier/pmid/38565889; info:eu-repo/semantics/altIdentifier/eissn/2045-2322; info:eu-repo/semantics/altIdentifier/urn/urn:nbn:ch:serval-BIB_2ED69D7E6C4B3; https://serval.unil.ch/notice/serval:BIB_2ED69D7E6C4B; https://serval.unil.ch/resource/serval:BIB_2ED69D7E6C4B.P001/REF.pdf
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12
Autoren: et al.
Quelle: Int J Obes (Lond)
Schlagwörter: 2. Zero hunger, 0301 basic medicine, ddc:610, 0303 health sciences, Obesity, Type 2 diabetes, Quantitative Trait Loci/genetics [MeSH], Obesity/diet therapy [MeSH], Animals [MeSH], Chromosome Mapping/statistics, Mice [MeSH], Article, Obesity/metabolism [MeSH], Quantitative Trait Loci/physiology [MeSH], Genetics, Obesity/physiopathology [MeSH], Diet, High-Fat/adverse effects [MeSH], Carbohydrates/adverse effects [MeSH], Disease Models, Animal [MeSH], Chromosome Mapping/methods [MeSH], Diet, High-Fat/statistics, Quantitative Trait Loci, Carbohydrates, Chromosome Mapping, C700, Diet, High-Fat, Disease Models, Animal, Mice, 03 medical and health sciences, Animals, Institut für Ernährungswissenschaft, 610 Medizin und Gesundheit
Dateibeschreibung: application/pdf
Zugangs-URL: https://www.nature.com/articles/s41366-021-00991-3.pdf
https://pubmed.ncbi.nlm.nih.gov/34689180
https://nrl.northumbria.ac.uk/id/eprint/50104/1/s41366-021-00991-3.pdf
https://www.nature.com/articles/s41366-021-00991-3
https://www.nature.com/articles/s41366-021-00991-3.pdf
https://pubmed.ncbi.nlm.nih.gov/34689180/
https://repository.publisso.de/resource/frl:6443876
http://edoc.hu-berlin.de/18452/27499
https://doi.org/10.18452/26806 -
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Nat Genet
BIOS Consortium & i2QTL Consortium 2021, 'Large-scale cis-and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression', Nature Genetics, vol. 53, no. 9, pp. 1300-1310. https://doi.org/10.1038/s41588-021-00913-z
Nature Genetics, 53, pp. 1300-1310
Nature genetics, vol. 53, no. 9, pp. 1300-1310
Nature GeneticsSchlagwörter: DISORDER, 0301 basic medicine, Multifactorial Inheritance, Genetics & genetic processes, Genome-wide association studies, F100 - Chemistry, DISEASE, Génétique & processus génétiques, quantitative trait locus, RELEVANCE, single nucleotide polymorphism, genetics, RISK, ARCHITECTURE, 0303 health sciences, Radboudumc 19: Nanomedicine RIMLS: Radboud Institute for Molecular Life Sciences, Blood Proteins, Transcriptome/genetics, Polymorphism, Single Nucleotide/genetics, Life sciences, HUMAN TRANSCRIPTOME, DEFICIENCY, Sciences du vivant, Single Nucleotide/genetics, Quantitative Trait Loci, CMBI - Radboud University Medical Center, Radboud University Medical Center, Gene Expression Regulation/genetics, Polymorphism, Single Nucleotide, Article, LINKS, 03 medical and health sciences, Blood Proteins/genetics, Humans, C720 - Biological chemistry, human, GENOME-WIDE ASSOCIATION, Polymorphism, Multifactorial Inheritance/genetics, SERINE BIOSYNTHESIS, Gene regulation, Gene Expression Regulation, plasma protein, Polymorphism Single Nucleotide, genome-wide association studies, gene expression, Gene expression, gene regulation, Quantitative Trait Loci/genetics, Transcriptome, Genome-Wide Association Study
Dateibeschreibung: application/pdf
Zugangs-URL: https://pure.rug.nl/ws/files/183576201/s41588_021_00913_z.pdf
https://pubmed.ncbi.nlm.nih.gov/34475573
https://hdl.handle.net/https://repository.ubn.ru.nl/handle/2066/240768
https://research.vu.nl/en/publications/5a80d0fa-699b-4402-b941-69abcf230223
https://doi.org/10.1038/s41588-021-00913-z
https://hdl.handle.net/1871.1/5a80d0fa-699b-4402-b941-69abcf230223
https://research.rug.nl/en/publications/09ead8e3-99bd-4887-a54d-693bd0ee475b
https://doi.org/10.1038/s41588-021-00913-z
https://hdl.handle.net/11370/09ead8e3-99bd-4887-a54d-693bd0ee475b
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432599
https://discovery.dundee.ac.uk/en/publications/large-scale-cis-and-trans-eqtl-analyses-identify-thousands-of-gen
https://pubmed.ncbi.nlm.nih.gov/34475573/
https://research.vu.nl/en/publications/large-scale-cis-and-trans-eqtl-analyses-identify-thousands-of-gen
https://www.nature.com/articles/s41588-021-00913-z.pdf
https://research.rug.nl/en/publications/large-scale-icisi-and-itransi-eqtl-analyses-identify-thousands-of
https://research.vumc.nl/en/publications/aa2bf4d5-4683-416c-af37-5560d637ebca
https://pure.amsterdamumc.nl/en/publications/c0391221-650f-4915-9300-77d9bf6bf3f6
https://doi.org/10.1038/s41588-021-00913-z
https://repository.ubn.ru.nl//bitstream/handle/2066/240768/240768.pdf
https://hdl.handle.net/2066/240768
http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_9462F2AB5F220
https://serval.unil.ch/notice/serval:BIB_9462F2AB5F22
https://serval.unil.ch/resource/serval:BIB_9462F2AB5F22.P001/REF.pdf
https://bura.brunel.ac.uk/handle/2438/25394 -
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Human Molecular Genetics. 30:1259-1270
Schlagwörter: 0301 basic medicine, Genetic Pleiotropy/genetics, Glycosylation, Genotype, Quantitative Trait Loci, Genetics & genetic processes, Polymorphism, Single Nucleotide, Autoimmune Diseases, Cohort Studies, Génétique & processus génétiques, 03 medical and health sciences, Gene Frequency, glycosylated IgG, Autoimmune Diseases/genetics, Genome-Wide Association Study/statistics & numerical data, Inflammation/genetics, Genetics, Humans, Computer Simulation, Molecular Biology, Genetics (clinical), Alleles, Inflammation, 2. Zero hunger, 0303 health sciences, Immunity, Genetic Pleiotropy, General Medicine, Immunity/genetics, Life sciences, 3. Good health, Phenotype, Genetic Loci, Immunoglobulin G, Genetic Loci/genetics, Multivariate Analysis, Genome-Wide Association Study/methods, Immunoglobulin G/metabolism, Sciences du vivant, Immunoglobulin G/genetics, Quantitative Trait Loci/genetics, Genome-Wide Association Study
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/33710309
https://research.nsu.ru/en/publications/multivariate-genome-wide-analysis-of-immunoglobulin-g-n-glycosyla
https://europepmc.org/article/MED/33710309
https://pubmed.ncbi.nlm.nih.gov/33710309/
https://academic.oup.com/hmg/article/30/13/1259/6168366
http://www.ncbi.nlm.nih.gov/pubmed/33710309
https://www.ncbi.nlm.nih.gov/pubmed/33710309
https://hdl.handle.net/2268/316111
https://doi.org/10.1093/hmg/ddab072 -
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Mol Plant Pathol
Schlagwörter: epistasis, 0301 basic medicine, MESH: Arabidopsis / physiology, MESH: Arabidopsis / genetics, [SDV]Life Sciences [q-bio], Quantitative Trait Loci, MESH: Epistasis, Arabidopsis, Ralstonia, MESH: Phenotype, heat stress, 03 medical and health sciences, MESH: Plant Diseases / microbiology, Gene Regulatory Networks, MESH: Genetic Variation, MESH: Ralstonia solanacearum / physiology, GWA mapping, MESH: Gene Regulatory Networks, Disease Resistance, Plant Diseases, 0303 health sciences, MESH: Arabidopsis / microbiology, MESH: Disease Resistance / genetics, local score, Chromosome Mapping, Genetic Variation, Epistasis, Genetic, Original Articles, Genetic, [SDV] Life Sciences [q-bio], MESH: Quantitative Trait Loci / genetics, Phenotype, MESH: Heat-Shock Response, MESH: Genome-Wide Association Study, Ralstonia solanacearum, MESH: Chromosome Mapping, Heat-Shock Response, natural accessions, Genome-Wide Association Study
Dateibeschreibung: application/pdf
Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/mpp.12964
https://pubmed.ncbi.nlm.nih.gov/32914940
https://www.ncbi.nlm.nih.gov/pubmed/32914940
https://bsppjournals.onlinelibrary.wiley.com/doi/full/10.1111/mpp.12964
https://pubmed.ncbi.nlm.nih.gov/32914940/
https://bsppjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/mpp.12964
https://hal.inrae.fr/hal-02948127v1
https://doi.org/10.1111/mpp.12964
https://hal.inrae.fr/hal-02948127v1/document -
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Nat Commun
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Mapel, X M, Kadri, N K, Leonard, A S, He, Q, Lloret-Villas, A, Bhati, M, Hiltpold, M & Pausch, H 2024, ' Molecular quantitative trait loci in reproductive tissues impact male fertility in cattle ', Nature Communications, vol. 15, no. 1, 674, pp. 1-15 . https://doi.org/10.1038/s41467-024-44935-7
Nature CommunicationsSchlagwörter: EXPRESSION, Male, 0301 basic medicine, Consensus, [SDV]Life Sciences [q-bio], Science, Quantitative Trait Loci, [SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry, Article, Mice, 03 medical and health sciences, [SDV.BA.ZV]Life Sciences [q-bio]/Animal biology/Vertebrate Zoology, Testis, Humans, Animals, SPERMATOGENESIS, TRANSCRIPTOME, [SDV.BDLR] Life Sciences [q-bio]/Reproductive Biology, Epididymis, 2. Zero hunger, Molecular Biology/Genomics [q-bio.GN], 0303 health sciences, [SDV.BA.MVSA]Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, GENETIC-PARAMETERS, [SDV.BA.MVSA] Life Sciences [q-bio]/Animal biology/Veterinary medicine and animal Health, [SDV.BDLR]Life Sciences [q-bio]/Reproductive Biology, [SDV] Life Sciences [q-bio], Fertility, [SDV.BBM.GTP] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Genomics [q-bio.GN], Fertility/genetics, [SDV.BA.ZV] Life Sciences [q-bio]/Animal biology/Vertebrate Zoology, Cattle, Quantitative Trait Loci/genetics
Dateibeschreibung: application/pdf
Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38253538
https://doaj.org/article/4e9432c4ac32434888c08e1bec982656
https://hdl.handle.net/20.500.11820/db285be0-00bc-4b93-92c6-a9e7c2f66bd8
https://www.pure.ed.ac.uk/ws/files/409943176/s41467-024-44935-7.pdf
https://hal.inrae.fr/hal-04474653v1/document
https://doi.org/10.1038/s41467-024-44935-7
https://hal.inrae.fr/hal-04474653v1 -
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)Schlagwörter: Science, Quantitative Trait Loci, Penetrance, Single Nucleotide, Polymorphism, Single Nucleotide, Article, Neurodevelopmental Disorders/genetics, Neurodevelopmental Disorders, Medicine, Humans, Quantitative Trait Loci/genetics, Child, Transcriptome, Polymorphism
Dateibeschreibung: application/pdf; application/zip; text/xml
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Weitere Verfasser: et al.
Quelle: Nat Genet
Digital.CSIC. Repositorio Institucional del CSIC
Consejo Superior de Investigaciones Científicas (CSIC)
NATURE GENETICS
HUNT All-In Psychiatry 2021, 'Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology', Nature Genetics, vol. 53, no. 6, pp. 817-829. https://doi.org/10.1038/s41588-021-00857-4
HUNT All-In Psychiatry 2021, ' Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology ', Nature Genetics, vol. 53, no. 6, pp. 817-829 . https://doi.org/10.1038/s41588-021-00857-4
Nature genetics 53(6), 817-829 (2021). doi:10.1038/s41588-021-00857-4
Nature Genetics, vol 53, iss 6
Mullins, N, Forstner, A J, O'Connell, K S, Coombes, B, Coleman, J R I, Qiao, Z, Als, T D, Bigdeli, T B, Børte, S, Bryois, J, Charney, A W, Drange, O K, Gandal, M J, Hagenaars, S P, Ikeda, M, Kamitaki, N, Kim, M, Krebs, K, Panagiotaropoulou, G, Schilder, B M, Sloofman, L G, Steinberg, S, Trubetskoy, V, Winsvold, B S, Won, H-H, Abramova, L, Adorjan, K, Agerbo, E, Al Eissa, M, Albani, D, Alliey-Rodriguez, N, Anjorin, A, Antilla, V, Antoniou, A, Awasthi, S, Baek, J H, Bækvad-Hansen, M, Bass, N, Bauer, M, Beins, E C, Bergen, S E, Birner, A, Bøcker Pedersen, C, Giørtz Pedersen, M, Grove, J, Mattheisen, M, Xu, W, Børglum, A D, Mors, O, Mortensen, P B & HUNT All-In Psychiatry 2021, 'Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology', Nature Genetics, vol. 53, no. 6, pp. 817-829. https://doi.org/10.1038/s41588-021-00857-4Schlagwörter: 0301 basic medicine, Multifactorial Inheritance, Bipolar Disorder, Major histocompatibility complex, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Medizin, Multifactorial inheritance, Medical and Health Sciences, Genome-wide association studies, Major Histocompatibility Complex/genetics, Major Histocompatibility Complex, Case-Control Studies, Chromosomes, Human, Genetic Predisposition to Disease, Genome, Human, Humans, Phenotype, Quantitative Trait Loci, Risk Factors, Genome-Wide Association Study, HUNT All-In Psychiatry, 2.1 Biological and endogenous factors, bipolar disorder, 0303 health sciences, Genome, Bipolar Disorder/genetics, Biological Sciences, Serious Mental Illness, Mental Illness, Bioinformatics and computational biology, 3. Good health, attention deficit hyperactivity disorder, Mental Health, Neurological, Mental health, Biotechnology, Human, Genome-wide association study, Quantitative trait loci, Bipolar disorder, Agricultural biotechnology, Genetic predisposition to disease, Human chromosomes, Chromosomes, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Genetics, genome, Multifactorial Inheritance/genetics, case-control studies, Human Genome, Chromosomes, Human/genetics, Brain Disorders, Good Health and Well Being, Psychologie, Quantitative Trait Loci/genetics, Developmental Biology
Dateibeschreibung: application/pdf
Zugangs-URL: http://eprints.gla.ac.uk/227778/2/227778.pdf
https://www.medrxiv.org/content/medrxiv/early/2021/03/27/2020.09.17.20187054.full.pdf
https://pubmed.ncbi.nlm.nih.gov/34002096
https://api.elsevier.com/content/abstract/scopus_id/85107422437
http://hdl.handle.net/10261/376675
https://orca.cardiff.ac.uk/id/eprint/141574/1/GENOME~1.PDF
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Nat Genet
Nature genetics, vol. 53, no. 6, pp. 840-860
Corbin, L J, Timpson, N J, Lawlor, D A, Barroso, I & et al. 2021, 'The Trans-Ancestral Genomic Architecture of Glycemic Traits', Nature Genetics, vol. 53, no. 6, pp. 840-860. https://doi.org/10.1038/s41588-021-00852-9
Chen, J, Spracklen, C N, Marenne, G, Varshney, A, Corbin, L J, Luan, J, Willems, S M, Wu, Y, Zhang, X, Horikoshi, M, Boutin, T S, Magi, R, Waage, J, Li-Gao, R, Chan, K H K, Yao, J, Anasanti, M D, Chu, A Y, Claringbould, A, Heikkinen, J, Hong, J, Hottenga, J-J, Huo, S, Kaakinen, M A, Louie, T, Maerz, W, Moreno-Macias, H, Ndungu, A, Nelson, S C, Nolte, I M, North, K E, Appel, E V R, Liu, J, Sparso, T, Zhao, J-H, Astrup, A, Jørgensen, M E, Linneberg, A, Vestergaard, H, Bisgaard, H, Bønnelykke, K, Grarup, N, Hansen, T, Kovacs, P, Lind, L, Loos, R J F, Njølstad, I, Pedersen, O, Schwarz, P, Sorensen, T I A & Meta-Analysis of Glucose and Insulin-Related Trait Consortium (MAGIC) 2021, ' The trans-ancestral genomic architecture of glycemic traits ', Nature Genetics, vol. 53, no. 6, pp. 840-860 . https://doi.org/10.1038/s41588-021-00852-9
Lifelines Cohort Study & Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC) 2021, ' The trans-ancestral genomic architecture of glycemic traits ', Nature Genetics, vol. 53, no. 6, pp. 840-860 . https://doi.org/10.1038/s41588-021-00852-9
2021, ' The trans-ancestral genomic architecture of glycemic traits ', Nature Genetics, vol. 53 . https://doi.org/10.1038/s41588-021-00852-9Schlagwörter: Blood Glucose, 0301 basic medicine, Disease risk, Multifactorial Inheritance, Glycated Hemoglobin A, [SDV]Life Sciences [q-bio], Meta-Analysis of Glucose and Insulin-related Traits Consortium (MAGIC), LOCI, Diseases, VARIANTS, GLUCOSE, Epigenesis, Genetic, Mechanisms, WIDE ASSOCIATION, genetics, Gene-expression, HEMOGLOBIN, 11 Medical and Health Sciences, GENE-EXPRESSION, Genetics & Heredity, INSULIN-RESISTANCE, 0303 health sciences, Genome, Loci, genetics of glycemic traits, Variants, Physical Chromosome Mapping, 3. Good health, [SDV] Life Sciences [q-bio], Life Sciences & Biomedicine, Human, name=Genetics, Quantitative Trait Loci, Wide association study, Article, White People, diseases, MECHANISMS, Quantitative Trait, 03 medical and health sciences, Quantitative Trait, Heritable, Genetic, Lifelines Cohort Study, SDG 3 - Good Health and Well-being, Genetics, Humans, Hemoglobin, Heritable, METAANALYSIS, Alleles, Glycated Hemoglobin, Science & Technology, Whites, Genome, Human, Gene Expression Profiling, DISEASE RISK, Insulin-resistance, 06 Biological Sciences, Glucose, Blood Glucose/genetics, European Continental Ancestry Group/genetics, Genome-Wide Association Study, Glycated Hemoglobin A/metabolism, Multifactorial Inheritance/genetics, Quantitative Trait Loci/genetics, name=ALSPAC, Meta analysis, Epigenesis, Developmental Biology
Dateibeschreibung: application/pdf; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; Print-Electronic
Zugangs-URL: https://discovery.dundee.ac.uk/ws/files/59072891/Trans_ancestry_MAGIC_1000G_Main_Text_Feb2021v3_Final_AAM.pdf
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Autoren:
Schlagwörter: Algorithms, Biostatistics/methods, Exome/genetics, Gene Frequency, Genetic Association Studies/methods, Genome-Wide Association Study/methods, Genotype, Humans, Linkage Disequilibrium, Oligonucleotide Array Sequence Analysis, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci/genetics, Reproducibility of Results
Dateibeschreibung: application/pdf
Relation: PLoS Genetics; https://iris.unil.ch/handle/iris/246635; serval:BIB_DE5541571092; 000434016500021
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