{"doi":"10.1093/jamia/ocaa068","title":"Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services","abstract":"OBJECTIVE: Advancements in human genomics have generated a surge of available data, fueling the growth and accessibility of databases for more comprehensive, in-depth genetic studies. METHODS: We provide a straightforward and innovative methodology to optimize cloud configuration in order to conduct genome-wide association studies. We utilized Spark clusters on both Google Cloud Platform and Amazon Web Services, as well as Hail (http://doi.org/10.5281/zenodo.2646680) for analysis and exploration of genomic variants dataset. RESULTS: Comparative evaluation of numerous cloud-based cluster configurations demonstrate a successful and unprecedented compromise between speed and cost for performing genome-wide association studies on 4 distinct whole-genome sequencing datasets. Results are consistent across the 2 cloud providers and could be highly useful for accelerating research in genetics. CONCLUSIONS: We present a timely piece for one of the most frequently asked questions when moving to the cloud: what is the trade-off between speed and cost?","journal":"Journal of the American Medical Informatics Association","year":2020,"id":99321,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":30,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9377,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":12442,"name":"Carlos De Niz","orcid":null,"position":1,"is_corresponding":false},{"id":488860,"name":"Alba Gutiérrez‐Sacristán","orcid":"0000-0002-1245-198X","position":2,"is_corresponding":false},{"id":489664,"name":"Gabor Korodi","orcid":null,"position":3,"is_corresponding":false},{"id":488861,"name":"Nneka Ede","orcid":"0009-0003-9831-4736","position":4,"is_corresponding":false},{"id":489665,"name":"Ranjay Kumar","orcid":null,"position":5,"is_corresponding":false},{"id":488862,"name":"Jessica B. Lyons","orcid":"0000-0002-3886-2146","position":6,"is_corresponding":false},{"id":2424,"name":"Arjun Kumar Manrai","orcid":"0000-0001-9657-9800","position":7,"is_corresponding":false},{"id":833,"name":"Chirag J. Patel","orcid":"0000-0002-8756-8525","position":8,"is_corresponding":false},{"id":3527,"name":"Isaac S. Kohane","orcid":"0000-0003-2192-5160","position":9,"is_corresponding":false},{"id":74694,"name":"Paul Avillach","orcid":"0000-0002-0235-7543","position":10,"is_corresponding":false},{"id":489663,"name":"Inès Krissaane","orcid":null,"position":0,"is_corresponding":true}],"reference_count":31,"raw_metadata":null,"created_at":"2026-07-18T22:37:35.547042Z","pmid":"32719837","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}