Gene--environment-wide association studies: emerging approaches - Test2 - elhamkhani - TriplyDB

Gene--environment-wide association studies: emerging approaches

Gene--environment-wide association studies: emerging approaches

http://www.wikidata.org/entity/Q33937986

about

Genome-wide gene-environment study identifies glutamate receptor gene GRIN2A as a Parkinson's disease modifier gene via interaction with coffee Exploiting gene expression variation to capture gene-environment interactions for disease Human genetics and genomics a decade after the release of the draft sequence of the human genome An integrated map of genetic variation from 1,092 human genomes The mathematical limits of genetic prediction for complex chronic disease Considerations for using genetic and epigenetic information in occupational health risk assessment and standard setting Jumping on the Train of Personalized Medicine: A Primer for Non-Geneticist Clinicians: Part 2. Fundamental Concepts in Genetic Epidemiology Data-driven integration of epidemiological and toxicological data to select candidate interacting genes and environmental factors in association with disease Molecular pathological epidemiology of epigenetics: emerging integrative science to analyze environment, host, and disease Systematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitus Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report Integrative cancer epidemiology--the next generation Beyond the fourth wave of genome-wide obesity association studies Variants at 6q21 implicate PRDM1 in the etiology of therapy-induced second malignancies after Hodgkin's lymphoma A Cellular GWAS Approach to Define Human Variation in Cellular Pathways Important to Inflammation Analytical Complexity in Detection of Gene Variant-by-Environment Exposure Interactions in High-Throughput Genomic and Exposomic Research Genetic prediction of common diseases. Still no help for the clinical diabetologist!The advantages and limitations of trait analysis with GWAS: a review Etiologic field effect: reappraisal of the field effect concept in cancer predisposition and progression Is genetic testing useful to predict type 2 diabetes?Gene-environment interplay in common complex diseases: forging an integrative model—recommendations from an NIH workshop.The genetics of cancer risk Pathway-based analysis tools for complex diseases: a review Genetic determinants of depression: recent findings and future directions Mapping of Genetic Factors That Elicit Intermale Aggressive Behavior on Mouse Chromosome 15: Intruder Effects and the Complex Genetic Basis The Psychiatric Genomics Consortium Posttraumatic Stress Disorder Workgroup: Posttraumatic Stress Disorder Enters the Age of Large-Scale Genomic Collaboration Causes of genome instability: the effect of low dose chemical exposures in modern society Assessing the carcinogenic potential of low-dose exposures to chemical mixtures in the environment: the challenge ahead Brain-derived neurotrophic factor/FK506-binding protein 5 genotype by childhood trauma interactions do not impact on hippocampal volume and cognitive performance Gene-environment interactions in genome-wide association studies: current approaches and new directions Confluence of genes, environment, development, and behavior in a post Genome-Wide Association Study world The interplay of genes and adolescent development in substance use disorders: leveraging findings from GWAS meta-analyses to test developmental hypotheses about nicotine consumption Hypothesis: epigenetic effects will require a review of the genetics of child development Genome-wide association analysis accounting for environmental factors through propensity-score matching: application to stressful live events in major depressive disorder Gene-Lifestyle Interactions in Obesity Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health A systematic SNP selection approach to identify mechanisms underlying disease aetiology: linking height to post-menopausal breast and colorectal cancer risk Review of the Gene-Environment Interaction Literature in Cancer: What Do We Know?Schizophrenia.Common variation in PHACTR1 is associated with susceptibility to cervical artery dissection.

P2860

Q21092426-E678B8E3-4BB5-4CD0-BBBB-275264FA6774 Q21131248-1B313AAD-7DCE-4807-BCF9-5483FD1C045E Q21245451-EC1EAE3E-2548-4919-9273-FF6AF0E6DFAA Q22122153-620248E1-CA23-4B69-BCE8-445A8F700683 Q23915939-CADE0E4D-9317-486A-BC45-42F45F18822D Q23919015-5092DB4A-B012-454B-B2E1-6370B32FF074 Q24273406-1825B628-5C39-451C-AA8A-A7E0666DAA7D Q24289202-699B2CB2-022B-41AC-BED3-B20C4B8EA9A4 Q24289344-7110B59E-A0B7-423E-905E-496092AF362F Q24289497-50A81A35-E5CE-4421-A152-9984799115F5 Q24289531-9E832B4F-6F4A-4FAF-8618-C65475164E19 Q24594622-3A215962-84DF-4FC5-AFB3-D10CD0D14C10 Q24627723-6BF8E971-063F-4784-8ABB-1D8A64B411FF Q24632704-7F54CDBD-C71D-498B-9485-0F29E76AAC63 Q26748866-8F3FF256-8696-4EE7-B574-531FB34D8EF0 Q26774805-8D986F7D-A8A0-4E98-982B-BE8817CCB109 Q26822607-8A1331E3-1312-47EE-A2F0-3A5B868ED1BB Q26851176-6D6FBB08-4545-465A-A661-A096AFB9ECAD Q26852716-7519069B-1097-4CFD-8358-21155B4271E3 Q26859442-7BC5B66C-66C8-45B9-B423-43608414A629 Q27010365-8544A912-E24A-4A20-A456-E1C48721E39D Q27013910-C8E2733A-E931-4D14-A7F7-6134C660BCEB Q27015706-BEDBA9BA-3132-4F42-9A52-BC5D14DC2F6D Q27027836-38BB138F-15A9-4254-BF86-1DE58BB6D357 Q27318362-54ABD0E1-066F-4E11-A272-EEF74E6BE69D Q28081561-07EE2D9C-21A8-4C8D-B293-C69E6C88CAC0 Q28388277-878107F8-E10C-4648-86ED-4CE0064515EA Q28397132-477D449D-EF77-4A47-9372-83169C68147D Q28541339-FE85920C-DD2F-49B5-8868-0B6F2586DF39 Q28661580-21309A9C-FD1D-4C54-B7B0-EF832BCEBB57 Q28716745-39A25C47-8E31-4FC3-94DA-D00785FFBACC Q28728693-4592905F-36A0-4116-90C4-A67D6B6E6B1B Q28744284-5628D7EA-A6F0-43B1-9F61-7B343BE2AE11 Q28943374-2A6DCD5E-A95B-4D17-A0CE-81EA72C88507 Q29109903-30322FFA-EF24-4BF0-BBEF-2CCD95AC93A7 Q29227394-793E40FC-1C3E-45FF-9D92-6C8A05A25B94 Q29248516-15C37902-22FA-4A99-B20E-30CC42DEE327 Q30251624-C47D4868-2405-43EA-B440-9CBB8F03D75E Q30251961-72165A3B-AB43-41F3-8656-230F661A96CC Q30301277-9AE82A28-9137-4D8F-B44A-A0C2F7FBC5D6

P2860

Gene--environment-wide association studies: emerging approaches

http://www.wikidata.org/entity/Q33937986

description

2010 nî lūn-bûn

@nan

2010 թուականի Ապրիլին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի ապրիլին հրատարակված գիտական հոդված

@hy

2010年の論文

@ja

2010年学术文章

@wuu

2010年学术文章

@zh-cn

2010年学术文章

@zh-hans

2010年学术文章

@zh-my

2010年学术文章

@zh-sg

2010年學術文章

@yue

name

Gene--environment-wide association studies: emerging approaches

@ast

Gene--environment-wide association studies: emerging approaches

@en

type

label

Gene--environment-wide association studies: emerging approaches

@ast

Gene--environment-wide association studies: emerging approaches

@en

prefLabel

Gene--environment-wide association studies: emerging approaches

@ast

Gene--environment-wide association studies: emerging approaches

@en

P1433

Q33937986-9F12393C-C381-4AF8-9E50-6ACDFA923C92

P1476

Q33937986-09803A79-EB26-492E-A292-1A3437FE0339

P2093

Q33937986-A3F5E937-A089-4353-8BF0-5735B5E65C93

P2860

Q33937986-002794E9-1033-4537-B55B-95766EF3CE07

Q33937986-0604EB37-8206-4F1C-A0A5-412DD413EC13

Q33937986-065C3A09-C662-4B04-BFAF-48F5208749AC

Q33937986-086F0B38-41E7-41E4-A37F-68E8A86554A5

Q33937986-092CD2B7-9CF5-461B-B6FF-5A494B9DFB16

Q33937986-0C2C4AB3-A8F3-4678-89B2-DF4BB10C6FA0

Q33937986-0CB5D2B0-4B4E-4714-90B3-E3D0463415E1

Q33937986-0D6A433A-C565-420A-A75C-7D3439D4DE0A

Q33937986-0F94F0C6-3FF4-491B-BAEB-AEC5E876B0E3

Q33937986-109F9F1D-E5B4-405A-A87A-74217AB1C235

P2888

Q33937986-757E0F88-16FB-41AE-82E9-B2926750E473

P304

Q33937986-E50876F0-F69F-4259-876A-475EA992FEA6

P31

Q33937986-00815343-1B72-4C4B-A195-364D1A36496A

P356

Q33937986-C7604EEF-3EC8-4F97-9C45-3D4A02050357

P433

Q33937986-2F8EB2CA-7972-43E9-8F48-207F46ABFD1D

P478

Q33937986-B741761F-35E8-4DDE-A7EC-D6D4B0E3245E

P577

Q33937986-3EDBA8E9-C52F-4959-B482-DC46D93CF388

P5875

Q33937986-7D303D9F-7028-42D9-A08D-8D75C47188F3

P6179

Q33937986-0810379A-0BA1-48DD-BD22-9B326ECE84DA

P698

Q33937986-A018B4CD-5555-4819-B53B-11F8B02EB7A0

P932

Q33937986-7B3B02B4-9BD2-455E-9EC3-2A7C6A069DAD

P356

P1433

Nature Reviews Genetics

P1476

Gene--environment-wide association studies: emerging approaches

@en

P2093

Duncan Thomas

http://www.w3.org/2001/XMLSchema#string

P2860

Genome-wide and candidate gene association study of cigarette smoking behaviors

Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum

Genome-wide associations of gene expression variation in humans

'Mendelian randomization': can genetic epidemiology contribute to understanding environmental determinants of disease?

Finding the missing heritability of complex diseases

A genomic pathway approach to a complex disease: axon guidance and Parkinson disease

A Bayesian measure of the probability of false discovery in genetic epidemiology studies

Epigenetic differences arise during the lifetime of monozygotic twins

Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

P2888

P304

259-272

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1038/NRG2764

http://www.w3.org/2001/XMLSchema#string

P433

4

http://www.w3.org/2001/XMLSchema#string

P478

11

http://www.w3.org/2001/XMLSchema#string

P577

2010-04-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

41825872

http://www.w3.org/2001/XMLSchema#string

P6179

1040880535

http://www.w3.org/2001/XMLSchema#string

P698

20212493

http://www.w3.org/2001/XMLSchema#string

P932

2891422

http://www.w3.org/2001/XMLSchema#string