8 datasets found
  1. f

    Data from: Genetic testing results of retinal dystrophies in a diverse...

    • tandf.figshare.com
    xlsx
    Updated May 12, 2025
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    Charles Miller; Brenda L. Bohnsack; Andy Drackley; Alexander Ing; Safa Rahmani; Hantamalala Ralay Ranaivo; Valerie Allegretti; Jennifer L. Rossen (2025). Genetic testing results of retinal dystrophies in a diverse population: impact of race and ethnicity [Dataset]. http://doi.org/10.6084/m9.figshare.28150900.v1
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    xlsxAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset provided by
    Taylor & Francis
    Authors
    Charles Miller; Brenda L. Bohnsack; Andy Drackley; Alexander Ing; Safa Rahmani; Hantamalala Ralay Ranaivo; Valerie Allegretti; Jennifer L. Rossen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Due to the recent advent of gene-targeted retinal therapies, the clinical value of high-yield genetic testing for inherited retinal dystrophies (IRDs) has increased considerably. However, diagnostic yield is limited by the reported patient populations in allele frequency databases. This study aimed to determine the effect of race and ethnicity on diagnostic yield in IRDs. Retrospective review of individuals with suspected IRD based on clinical findings or diagnosis of associated syndrome who underwent genetic testing between 2009 and 2021. Self-reported race and ethnicity, ophthalmic examination findings, ERG results, and genetic testing findings were collected and analyzed. In 93 individuals (90 families) with suspected IRD, the diagnostic yield was 72% (67 individuals). The rate of diagnostic yield was not significantly associated with family history, associated syndromes, age at testing, ERG results, or ophthalmic exam findings. Further, higher rates of positive diagnostic yield were not associated with more recent genetic testing. There was a trend toward differences in diagnostic yield between races (77% White, 65% Other, 64% Asian, 50% Black) and ratio of pathogenic/likely pathogenic (P/LP) variants to variants of unknown significance (46%:54% White, 36%:64% Other, 31%:69% Asian, 30%:70% Black). Current genetic testing for IRDs trends toward higher diagnostic yield and identification of P/LP variants in patients identifying as White compared to other races. In order to prevent negative impacts on access to gene-targeted trials and treatments for non-White patients, wider genetic testing in diverse populations is required to create comprehensive catalogs of gene variants associated with IRDs.

  2. o

    Replication data for: Testing for Racial Differences in the Mental Ability...

    • openicpsr.org
    Updated Apr 1, 2013
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    Roland G., Jr. Fryer; Steven D. Levitt (2013). Replication data for: Testing for Racial Differences in the Mental Ability of Young Children [Dataset]. http://doi.org/10.3886/E112609V1
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    Dataset updated
    Apr 1, 2013
    Dataset provided by
    American Economic Association
    Authors
    Roland G., Jr. Fryer; Steven D. Levitt
    Description

    Using a new nationally representative dataset, we find minor differences in test outcomes between black and white infants that disappear with a limited set of controls. However, relative to whites, all other races lose substantial ground by age two. Combining our estimates with results in prior literature, we show that a simple model with assortative mating fits our data well, implying that differences in children's environments between racial groups can fully explain gaps in intelligence. If parental ability influences a child's test scores both genetically and through environment, then our findings are less informative and can be reconciled with a wide range of racial differences in inherited intelligence.

  3. Genotypes and phenotypes of the nine cultivars for the resistance genes to...

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Larissa Carvalho Costa; Rafael Storto Nalin; Magno Antonio Patto Ramalho; Elaine Aparecida de Souza (2023). Genotypes and phenotypes of the nine cultivars for the resistance genes to each strain of race 65 of C. lindemuthianum. [Dataset]. http://doi.org/10.1371/journal.pone.0173789.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Larissa Carvalho Costa; Rafael Storto Nalin; Magno Antonio Patto Ramalho; Elaine Aparecida de Souza
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Genotypes and phenotypes of the nine cultivars for the resistance genes to each strain of race 65 of C. lindemuthianum.

  4. f

    Survey of Consumer Finances, 2016, Inheritance Extract

    • figshare.com
    txt
    Updated Feb 3, 2022
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    Eric Busboom (2022). Survey of Consumer Finances, 2016, Inheritance Extract [Dataset]. http://doi.org/10.6084/m9.figshare.19116233.v1
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    txtAvailable download formats
    Dataset updated
    Feb 3, 2022
    Dataset provided by
    figshare
    Authors
    Eric Busboom
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Extract from 2016 SCF focused on studying the impacts of race and education on inheritances

  5. f

    Data from: Inheritance of resistance to Meloidogyne incognita race 3 in...

    • scielo.figshare.com
    png
    Updated Jun 1, 2023
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    Gleina Costa Silva Alves; Victor Hugo Silva Barbosa; Marc Giband; Paulo Augusto Vianna Barroso; Fabrício Rodrigues; Mara Rúbia da Rocha (2023). Inheritance of resistance to Meloidogyne incognita race 3 in cotton accession TX 25 [Dataset]. http://doi.org/10.6084/m9.figshare.20012677.v1
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    pngAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Gleina Costa Silva Alves; Victor Hugo Silva Barbosa; Marc Giband; Paulo Augusto Vianna Barroso; Fabrício Rodrigues; Mara Rúbia da Rocha
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT. Cotton producers worldwide suffer with the losses caused by the presence of phytonematodes. The aim of the present study was to investigate the inheritance of resistance to Meloidogyne incognita race 3 in Gossypium hirsutum variety punctatum accession TX 25. Accessions of Gossypium sp. were obtained from the germplasm bank of Embrapa Cotton. Two experiments were performed in two consecutive years. In the first experiment, a susceptible parental line, FiberMax 966, a resistant parental line, TX 25, and their F1, F2 and backcross generations were tested. In the second experiment, parental lines FiberMax 966 and TX 25, their F2 generation, and genotypes M315 (resistant), LA887 and DeltaOpal (moderately resistant) were tested. In both experiments, plants were inoculated with 2000 eggs and J2 of M. incognita race 3. The gall index, egg mass index and reproduction factor were evaluated 120 days following inoculation. In the first experiment, plants from the F1 and backcross generations were susceptible. Plants from the F2 generation presented a 3:1 resistant-to-susceptible ratio in the two experiments, indicating oligogenic resistance.

  6. f

    Reaction pattern of the 12 commercial cultivars of common bean inoculated...

    • plos.figshare.com
    xls
    Updated May 30, 2023
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    Larissa Carvalho Costa; Rafael Storto Nalin; Magno Antonio Patto Ramalho; Elaine Aparecida de Souza (2023). Reaction pattern of the 12 commercial cultivars of common bean inoculated with each evaluated strain of race 65 of C. lindemuthianum. [Dataset]. http://doi.org/10.1371/journal.pone.0173789.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Larissa Carvalho Costa; Rafael Storto Nalin; Magno Antonio Patto Ramalho; Elaine Aparecida de Souza
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Reaction pattern of the 12 commercial cultivars of common bean inoculated with each evaluated strain of race 65 of C. lindemuthianum.

  7. f

    Estimated carrier rates of 15 Mendelian disorders by race, ethnicity, and...

    • plos.figshare.com
    xls
    Updated Jun 11, 2023
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    Kohei Fujikura (2023). Estimated carrier rates of 15 Mendelian disorders by race, ethnicity, and country. [Dataset]. http://doi.org/10.1371/journal.pone.0155552.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Kohei Fujikura
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The information about the mutation and carrier rate is shown in this figure. Pustular psoriasis caused by is yet described in OMIM. The abbreviations are as follows: AA, African Americans; EA, European Americans; ASW, American’s of African Ancestry in SW; CEU, Utah Residents (CEPH) with Northern and Western European ancestry; CHB, Han Chinese in Beijing; CHS, Southern Han Chinese; CLM, Colombian from Medellin; FIN, Finnish in Finland; GBR, British in England; IBS, Iberian population in Spain; JPT, Japanese in Tokyo; LWK, Luhya in Webuye; MXL, Mexican ancestry from Los Angeles; PUR, Puerto Rico from Puerto Rica; TSI, Toscani in Italia; YRI, Yoruba in Ibadan.

  8. Distribution of main genes identified related to ethnicity.

    • plos.figshare.com
    xls
    Updated Feb 13, 2025
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    Michal Kaminer Abargel; Michal Macarov; Karen Hendler; Claudia Yahalom (2025). Distribution of main genes identified related to ethnicity. [Dataset]. http://doi.org/10.1371/journal.pone.0318492.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 13, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Michal Kaminer Abargel; Michal Macarov; Karen Hendler; Claudia Yahalom
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Distribution of main genes identified related to ethnicity.

  9. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Charles Miller; Brenda L. Bohnsack; Andy Drackley; Alexander Ing; Safa Rahmani; Hantamalala Ralay Ranaivo; Valerie Allegretti; Jennifer L. Rossen (2025). Genetic testing results of retinal dystrophies in a diverse population: impact of race and ethnicity [Dataset]. http://doi.org/10.6084/m9.figshare.28150900.v1

Data from: Genetic testing results of retinal dystrophies in a diverse population: impact of race and ethnicity

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
May 12, 2025
Dataset provided by
Taylor & Francis
Authors
Charles Miller; Brenda L. Bohnsack; Andy Drackley; Alexander Ing; Safa Rahmani; Hantamalala Ralay Ranaivo; Valerie Allegretti; Jennifer L. Rossen
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Due to the recent advent of gene-targeted retinal therapies, the clinical value of high-yield genetic testing for inherited retinal dystrophies (IRDs) has increased considerably. However, diagnostic yield is limited by the reported patient populations in allele frequency databases. This study aimed to determine the effect of race and ethnicity on diagnostic yield in IRDs. Retrospective review of individuals with suspected IRD based on clinical findings or diagnosis of associated syndrome who underwent genetic testing between 2009 and 2021. Self-reported race and ethnicity, ophthalmic examination findings, ERG results, and genetic testing findings were collected and analyzed. In 93 individuals (90 families) with suspected IRD, the diagnostic yield was 72% (67 individuals). The rate of diagnostic yield was not significantly associated with family history, associated syndromes, age at testing, ERG results, or ophthalmic exam findings. Further, higher rates of positive diagnostic yield were not associated with more recent genetic testing. There was a trend toward differences in diagnostic yield between races (77% White, 65% Other, 64% Asian, 50% Black) and ratio of pathogenic/likely pathogenic (P/LP) variants to variants of unknown significance (46%:54% White, 36%:64% Other, 31%:69% Asian, 30%:70% Black). Current genetic testing for IRDs trends toward higher diagnostic yield and identification of P/LP variants in patients identifying as White compared to other races. In order to prevent negative impacts on access to gene-targeted trials and treatments for non-White patients, wider genetic testing in diverse populations is required to create comprehensive catalogs of gene variants associated with IRDs.

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