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single nucleotide polymorphism reference database  (Celera)

 
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    Celera single nucleotide polymorphism reference database
    Single Nucleotide Polymorphism Reference Database, supplied by Celera, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/reference+snp+data/single+nucleotide+polymorphisms/pm12754702-71-10-19
    Average 90 stars, based on 1 article reviews
    single nucleotide polymorphism reference database - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Sequencing:

    Article Title: Identifying calcineurin activators for treatment of schizophrenia
    Article Snippet: .. For this study we utilized some of the polymorphisms that we identified by direct sequencing, supplemented with additional single nucleotide polymorphisms (SNPs) obtained from the NCBI or Celera databases. ..

    Article Title: Genetic regulatory network analysis for app based on genetical genomics approach.
    Article Snippet: .. Single-Nucleotide Polymorphisms (SNPs) for App Sequences for App from the public mouse assembly database (mm8, February 2007 release; http://genome.ucsc.edu) were mapped onto the Celera mouse assembly by Blat (Kent, 2002) to obtain the App sequence for D2. ..

    Article Title: Aggrecanase molecules
    Article Snippet: .. The Celera single nucleotide polymorphism database was searched with the sequence set forth in SEQ ID NO: 1. ..

    other:

    Article Title: Polymorphisms and noncardioembolic stroke in three case-control studies.
    Article Snippet: Background: Gene variants associated with disease could reveal novel mechanisms.. We searched for single nucleotide polymorphisms (SNPs) associated with noncardioembolic stroke (nonCES).. Methods: We tested 24,926 SNPs in or near genes for association with nonCES in the Vienna Study (551 cases, 815 controls) and then evaluated the associated SNPs in the UCSF-CC Study (570 cases, 1,604 controls) first in pooled DNA samples and then in individual DNA samples.

    Article Title: Hepatic fibrosis 2006: report of the Third AASLD Single Topic Conference.
    Article Snippet: The third American Associated for the Study of Liver Diseases (AASLD)–sponsored Single Topic Conference on hepatic fibrosis was held in June 2006.. The conference was both international, with 6 countries represented, and cross-disciplinary, linking the basic molecular and cellular biology of fibrogenic cells to clinical trial design for emerging antifibrotic therapies.. The specific goals of the conference were: (1) to consolidate knowledge about the natural history of fibrosis; (2) to clarify potential endpoints and markers; (3) to emphasize new antifibrotic targets developed on the basis of advances in basic science; and (4) to understand current critical issues pertaining to clinical trial design.

    Article Title: Current understanding of the genetic aetiology of rheumatoid arthritis and likely future developments.
    Article Snippet: We also describe an extensive analysis of functional single-nucleotide polymorphisms (SNPs) that is under way in collaboration with Celera Diagnostics, as well as studies designed to further dissect the phenotypic and genotypic heterogeneity of RA.



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    reference snp data  (Biotechnology Information)
    86
    Biotechnology Information reference snp data
    A Study design and participant selection. Information of the Arao cohort included MMSE score, diagnostic status, genome-wide <t>SNP</t> <t>data,</t> and APOE genotype. Of 1,526 baseline participants, 1,521 with consent for genetic analysis were selected and subjected to principal component analysis (PCA). After quality control, 1,310 participants were retained for PRS construction. Participants with complete data were included in subsequent analyses ( N = 1,301). B Scatter plot of the first and second principal components (PCs) for study participants ( N = 1,521) and the 1000 Genomes project samples ( N = 2,504). Each point represents an individual based on genome-wide SNP data and is colored by population: AFR, African; AMR, Admixed American; EAS, East Asian; SAS, South Asian; EUR, European.
    Reference Snp Data, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/reference+snp+data/reference+report+snp/med_rxiv__64898__2026__03__26__26349120-62-8-23
    Average 86 stars, based on 1 article reviews
    reference snp data - by Bioz Stars, 2026-10
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    human snp reference data database  (Celera)
    90
    Celera human snp reference data database
    A Study design and participant selection. Information of the Arao cohort included MMSE score, diagnostic status, genome-wide <t>SNP</t> <t>data,</t> and APOE genotype. Of 1,526 baseline participants, 1,521 with consent for genetic analysis were selected and subjected to principal component analysis (PCA). After quality control, 1,310 participants were retained for PRS construction. Participants with complete data were included in subsequent analyses ( N = 1,301). B Scatter plot of the first and second principal components (PCs) for study participants ( N = 1,521) and the 1000 Genomes project samples ( N = 2,504). Each point represents an individual based on genome-wide SNP data and is colored by population: AFR, African; AMR, Admixed American; EAS, East Asian; SAS, South Asian; EUR, European.
    Human Snp Reference Data Database, supplied by Celera, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/reference+snp+data/human+snp+database/us09464320-564-26-25
    Average 90 stars, based on 1 article reviews
    human snp reference data database - by Bioz Stars, 2026-10
    90/100 stars
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    A Study design and participant selection. Information of the Arao cohort included MMSE score, diagnostic status, genome-wide SNP data, and APOE genotype. Of 1,526 baseline participants, 1,521 with consent for genetic analysis were selected and subjected to principal component analysis (PCA). After quality control, 1,310 participants were retained for PRS construction. Participants with complete data were included in subsequent analyses ( N = 1,301). B Scatter plot of the first and second principal components (PCs) for study participants ( N = 1,521) and the 1000 Genomes project samples ( N = 2,504). Each point represents an individual based on genome-wide SNP data and is colored by population: AFR, African; AMR, Admixed American; EAS, East Asian; SAS, South Asian; EUR, European.

    Journal: medRxiv

    Article Title: Population-specific polygenic risk for Alzheimer’s disease is associated with Mini-Mental State Examination-based cognitive decline in a Japanese cohort

    doi: 10.64898/2026.03.26.26349120

    Figure Lengend Snippet: A Study design and participant selection. Information of the Arao cohort included MMSE score, diagnostic status, genome-wide SNP data, and APOE genotype. Of 1,526 baseline participants, 1,521 with consent for genetic analysis were selected and subjected to principal component analysis (PCA). After quality control, 1,310 participants were retained for PRS construction. Participants with complete data were included in subsequent analyses ( N = 1,301). B Scatter plot of the first and second principal components (PCs) for study participants ( N = 1,521) and the 1000 Genomes project samples ( N = 2,504). Each point represents an individual based on genome-wide SNP data and is colored by population: AFR, African; AMR, Admixed American; EAS, East Asian; SAS, South Asian; EUR, European.

    Article Snippet: Curation of SNP data was conducted using a reference SNP data (GCF_000001405.25.vcf.gz) in Variant Call Format (VCF) downloaded from the National Center for Biotechnology Information (NCBI) dbSNP FTP site ( https://ftp.ncbi.nih.gov/snp/latest_release/VCF/ ) ( , ) and dbSNP 147 summarized data from ANNOVAR ( ).

    Techniques: Selection, Diagnostic Assay, Genome Wide, Control