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Low-pass sequencing increases the power of GWAS and decreases measurement error of polygenic risk scores compared to genotyping arrays

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.29.068452Source: DataRank Database

Low-pass sequencing increases the power of GWAS and decreases measurement error of polygenic risk scores compared to genotyping arrays is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0. It has been cited 17 times.

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Open Access17 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: greenTopics (27)IDs (PubMed, OpenAlex)SDGs (2)

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Accessible (1/2)

Open Access

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Reusable (0/3)

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Authors (4)

Chase A. Mazur,Tomaz Berisa,Joseph K. Pickrell,Jeremiah H. Li ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W3023547197

Wellcome Trust

Grant: unidentified

unidentified

National Institutes of Health

Grant: 1R43HG010596-01

Scalable and accurate polygenic risk profiling with low-pass whole genome sequencing

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/02/04/2020.04.29.068452.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.04.29.068452

repositoryhttps://doi.org/10.1101/2020.04.29.068452

https://doi.org/10.1101/gr.266486.120

Fields of Study

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and AnimalsGenetic and phenotypic traits in livestock0301 basic medicine03 medical and health sciences

Keywords

Imputation (statistics)GenotypingGenome-wide association study1000 Genomes ProjectBiologyComputational biologyQuantitative trait locusGeneticsGenetic associationDNA sequencingStatisticsGenotypeSingle-nucleotide polymorphismMathematicsMissing dataGeneHaplotypesGenome, HumanRisk FactorsResearchHigh-Throughput Nucleotide SequencingHumans

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being