{"doi":"10.1007/s12265-010-9178-6","title":"The Genome-Wide Association Study—A New Era for Common Polygenic Disorders","abstract":null,"journal":"Journal of Cardiovascular Translational Research","year":2010,"id":611772,"datarank":0.5533319181170905,"base_score":3.6888794541139363,"endowment":3.6888794541139363,"self_citation_contribution":0.5533319181170905,"citation_network_contribution":0.0,"self_endowment_contribution":0.5533319181170905,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":39,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1532,"name":"George A. Wells","orcid":"0000-0002-2289-9139","position":1,"is_corresponding":false},{"id":1574756,"name":"Alexandre F. R. Stewart","orcid":null,"position":2,"is_corresponding":false},{"id":1574757,"name":"Sonny Dandona","orcid":null,"position":3,"is_corresponding":false},{"id":339419,"name":"Li Chen","orcid":"0000-0003-2454-4849","position":4,"is_corresponding":false},{"id":611853,"name":"Robert Roberts","orcid":"0000-0002-9234-5449","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"The Genome-Wide Association Study—A New Era for Common Polygenic Disorders","abstract":"This review covers the advances made in the last decade utilizing the high-density single-nucleotide microarrays to screen the entire human genome for genetic risk variants and outlines future strategies to draw deeper into the human genetic front. The sequence of the human genome provides the blueprint for life, while its variation provides the spice of life. Approximately 99.5% of the human genome DNA sequence is identical among humans with 0.5% of the genome sequence (15 million bps) accounting for all individual differences including susceptibility for disease. The new technology of the computerized chip array containing up to millions of SNPs as DNA markers makes possible genome-wide association studies to detect genetic predisposition to common polygenic disorders such as coronary artery disease (CAD). The sample sizes required for these studies are massive and large; worldwide consortiums such as CARDIoGRAM have been formed to accommodate this requirement. The progress has been remarkable with the identification of 9p21 followed by several others within the past 2 years. It is expected that most of the common variants (minor allele frequency, MAF >5%) will be identified for CAD within the next 2 to 3 years. Rare variants (MAF <5%) will require direct sequencing which will be delayed somewhat. The ultimate objective for the future is the sequencing and functional analysis of the causative polymorphisms. This will require a new approach involving several disciplines, namely, bioinformatics, high-throughput cell expression, and animal models.","is_dataset_classified":null,"base_score":3.6888794541139363,"endowment":3.6888794541139363,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"20560037","pmcid":null,"openalex_id":"https://openalex.org/W2032096967","authors":[],"funders":[{"funder_name":"Wellcome Trust","grant_id":"unidentified","title":"unidentified"}],"total_grants":1,"fwci":3.3372,"citation_percentile":0.92614263,"influential_citations":0,"citation_trend":[{"year":2012,"count":5},{"year":2013,"count":3},{"year":2014,"count":4},{"year":2015,"count":5},{"year":2017,"count":1},{"year":2018,"count":3},{"year":2023,"count":1},{"year":2024,"count":4},{"year":2025,"count":2}],"oa_status":"closed","license":"Springer TDM","oa_locations":[{"url":"http://link.springer.com/content/pdf/10.1007/s12265-010-9178-6.pdf","host_type":"publisher"},{"url":"http://link.springer.com/article/10.1007/s12265-010-9178-6/fulltext.html","host_type":"publisher"},{"url":"http://link.springer.com/content/pdf/10.1007/s12265-010-9178-6","host_type":"publisher"},{"url":"https://doi.org/10.1007/s12265-010-9178-6","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/20560037","host_type":"repository"},{"url":"https://dx.doi.org/10.1007/s12265-010-9178-6","host_type":""}],"fields_of_study":["Genetic Associations and Epidemiology","Bioinformatics and Genomic Networks","Cardiomyopathy and Myosin Studies","0301 basic medicine","0303 health sciences","03 medical and health sciences"],"mesh_terms":["Animals","Chromosomes, Human, Pair 9","Coronary Artery Disease","Gene Frequency","Humans","Phenotype","Risk Factors","Meta-Analysis as Topic","Sample Size","Risk Assessment","Genetic Predisposition to Disease","Oligonucleotide Array Sequence Analysis","Multifactorial Inheritance","Polymorphism, Single Nucleotide","Gene Expression Profiling","Databases, Genetic","Genome-Wide Association Study"],"keywords":["Genetics","Human genome","Biology","Genome-wide association study","Single-nucleotide polymorphism","Genome","Genetic association","DNA sequencing","International HapMap Project","Computational biology","Reference genome","Minor allele frequency","DNA microarray","Genetic variation","Human genetics","Gene","Genotype","Multifactorial Inheritance","Gene Expression Profiling","Coronary Artery Disease","Polymorphism, Single Nucleotide","Risk Assessment","Phenotype","Gene Frequency","Meta-Analysis as Topic","Risk Factors","Sample Size","Databases, Genetic","Animals","Humans","Genetic Predisposition to Disease","Chromosomes, Human, Pair 9","Oligonucleotide Array Sequence Analysis"],"sdg_mappings":[{"sdg_number":3,"sdg_label":"3. 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