Genetic Background of Patients from a University Medical Center in Manhattan: Implications for Personalized Medicine
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Mendeley | Further Information

{"title"=>"Genetic background of patients from a university medical center in Manhattan: Implications for personalized medicine", "type"=>"journal", "authors"=>[{"first_name"=>"Bamidele O.", "last_name"=>"Tayo", "scopus_author_id"=>"6506667994"}, {"first_name"=>"Marie", "last_name"=>"Teil", "scopus_author_id"=>"52264602200"}, {"first_name"=>"Liping", "last_name"=>"Tong", "scopus_author_id"=>"36165931100"}, {"first_name"=>"Huaizhen", "last_name"=>"Qin", "scopus_author_id"=>"56247244500"}, {"first_name"=>"Gregory", "last_name"=>"Khitrov", "scopus_author_id"=>"36873041100"}, {"first_name"=>"Weijia", "last_name"=>"Zhang", "scopus_author_id"=>"11138872700"}, {"first_name"=>"Quinbin", "last_name"=>"Song", "scopus_author_id"=>"52264749800"}, {"first_name"=>"Omri", "last_name"=>"Gottesman", "scopus_author_id"=>"57194099277"}, {"first_name"=>"Xiaofeng", "last_name"=>"Zhu", "scopus_author_id"=>"55643999549"}, {"first_name"=>"Alexandre C.", "last_name"=>"Pereira", "scopus_author_id"=>"7402230187"}, {"first_name"=>"Richard S.", "last_name"=>"Cooper", "scopus_author_id"=>"56662407500"}, {"first_name"=>"Erwin P.", "last_name"=>"Bottinger", "scopus_author_id"=>"7004291624"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-79955759391", "sgr"=>"79955759391", "issn"=>"19326203", "doi"=>"10.1371/journal.pone.0019166", "pmid"=>"21573225", "pui"=>"361732883"}, "id"=>"64b44bcf-b5ae-3472-a905-aacfb9af29d1", "abstract"=>"BACKGROUND: The rapid progress currently being made in genomic science has created interest in potential clinical applications; however, formal translational research has been limited thus far. Studies of population genetics have demonstrated substantial variation in allele frequencies and haplotype structure at loci of medical relevance and the genetic background of patient cohorts may often be complex.\\n\\nMETHODS AND FINDINGS: To describe the heterogeneity in an unselected clinical sample we used the Affymetrix 6.0 gene array chip to genotype self-identified European Americans (N = 326), African Americans (N = 324) and Hispanics (N = 327) from the medical practice of Mount Sinai Medical Center in Manhattan, NY. Additional data from US minority groups and Brazil were used for external comparison. Substantial variation in ancestral origin was observed for both African Americans and Hispanics; data from the latter group overlapped with both Mexican Americans and Brazilians in the external data sets. A pooled analysis of the African Americans and Hispanics from NY demonstrated a broad continuum of ancestral origin making classification by race/ethnicity uninformative. Selected loci harboring variants associated with medical traits and drug response confirmed substantial within- and between-group heterogeneity.\\n\\nCONCLUSION: As a consequence of these complementary levels of heterogeneity group labels offered no guidance at the individual level. These findings demonstrate the complexity involved in clinical translation of the results from genome-wide association studies and suggest that in the genomic era conventional racial/ethnic labels are of little value.", "link"=>"http://www.mendeley.com/research/genetic-background-patients-university-medical-center-manhattan-implications-personalized-medicine-2", "reader_count"=>34, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>3, "Researcher"=>12, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>1, "Other"=>3, "Student > Master"=>2, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>3}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>3, "Researcher"=>12, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>7, "Student > Postgraduate"=>1, "Other"=>3, "Student > Master"=>2, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>3, "Environmental Science"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Agricultural and Biological Sciences"=>16, "Medicine and Dentistry"=>9, "Arts and Humanities"=>1, "Social Sciences"=>1, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>9}, "Social Sciences"=>{"Social Sciences"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>16}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>1}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"United States"=>6, "Switzerland"=>1, "Germany"=>2}, "group_count"=>3}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/777065"], "description"=>"<p>Plots of subjects in the 1<sup>st</sup> and 2<sup>nd</sup> dimensions (left column), 2<sup>nd</sup> and 3<sup>rd</sup> dimensions (middle column), and 3<sup>rd</sup> and 4<sup>th</sup> dimensions right column). Abbreviation for samples: African American biobank sample (ANY); European American biobank sample (ENY); Hispanic American biobank sample (HNY); African ancestry in Southwest USA (ASW); Mexican ancestry in Los Angeles, California (MEX); Yoruba from Nigeria (YOR); African American from Maywood, Illinois (AMW); Brazilians from Brazil (BRZ).</p>", "links"=>[], "tags"=>["scaling", "plots", "samples", "biobank"], "article_id"=>447416, "categories"=>["Medicine", "Genetics", "Biotechnology"], "users"=>["Bamidele O. Tayo", "Marie Teil", "Liping Tong", "Huaizhen Qin", "Gregory Khitrov", "Weijia Zhang", "Quinbin Song", "Omri Gottesman", "Xiaofeng Zhu", "Alexandre C. Pereira", "Richard S. Cooper", "Erwin P. Böttinger"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0019166.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Multidimensional_scaling_plots_for_all_samples_TOP_and_only_biobank_samples_BOTTOM_/447416", "title"=>"Multidimensional scaling plots for all samples (TOP) and only biobank samples (BOTTOM).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 18:35:58"}
  • {"files"=>["https://ndownloader.figshare.com/files/777168"], "description"=>"<p>Each circle represents the squared coefficient of the largest canonical correlation between the first 10 local PCs of a local 20 Mb-window and the first 10 global PCs. Abbreviation for samples: African American biobank sample (ANY); European American biobank sample (ENY); Hispanic American biobank sample (HNY); African American from Maywood, Illinois (AMW); CEPH (Utah residents with ancestry from northern and western Europe (CEU); Brazilians from Brazil (BRZ).</p>", "links"=>[], "tags"=>["window-wide", "pcs", "biobank", "samples"], "article_id"=>447521, "categories"=>["Medicine", "Genetics", "Biotechnology"], "users"=>["Bamidele O. Tayo", "Marie Teil", "Liping Tong", "Huaizhen Qin", "Gregory Khitrov", "Weijia Zhang", "Quinbin Song", "Omri Gottesman", "Xiaofeng Zhu", "Alexandre C. Pereira", "Richard S. Cooper", "Erwin P. Böttinger"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0019166.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Canonical_correlation_based_on_window_wide_local_PCs_for_biobank_samples_and_selected_external_samples_/447521", "title"=>"Canonical correlation based on window-wide local PCs for biobank samples and selected external samples.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 18:36:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/777307"], "description"=>"<p>Each subject is represented by a thin vertical line colored in proportion to their estimated ancestry within each cluster. The colors represent the proportion of inferred ancestry from each of the ancestral populations within each specific K value. Abbreviation for samples: African American biobank sample (ANY); European American biobank sample (ENY); Hispanic American biobank sample (HNY); African ancestry in Southwest USA (ASW); Mexican ancestry in Los Angeles, California (MEX) ; Yoruba from Nigeria (YOR); African American from Maywood, Illinois (AMW); Brazilians from Brazil (BRZ).</p>", "links"=>[], "tags"=>["ancestral", "populations"], "article_id"=>447668, "categories"=>["Medicine", "Genetics", "Biotechnology"], "users"=>["Bamidele O. Tayo", "Marie Teil", "Liping Tong", "Huaizhen Qin", "Gregory Khitrov", "Weijia Zhang", "Quinbin Song", "Omri Gottesman", "Xiaofeng Zhu", "Alexandre C. Pereira", "Richard S. Cooper", "Erwin P. Böttinger"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0019166.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Population_structure_results_for_ancestral_populations_K_2_to_K_6_/447668", "title"=>"Population structure results for ancestral populations <i>K</i> = 2 to <i>K</i> = 6.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 18:37:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/777458"], "description"=>"<p>Population structure results for <i>K</i> = 2 ancestral populations sorted by ancestry proportions for African American biobank sample (ANY) and Hispanic American biobank sample (HNY) (Top) and pooled sample of both ANY and HNY (Bottom).</p>", "links"=>[], "tags"=>["ancestral", "populations", "sorted", "ancestry", "proportions", "african", "american", "biobank", "hispanic", "pooled", "hny"], "article_id"=>447800, "categories"=>["Medicine", "Genetics", "Biotechnology"], "users"=>["Bamidele O. Tayo", "Marie Teil", "Liping Tong", "Huaizhen Qin", "Gregory Khitrov", "Weijia Zhang", "Quinbin Song", "Omri Gottesman", "Xiaofeng Zhu", "Alexandre C. Pereira", "Richard S. Cooper", "Erwin P. Böttinger"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0019166.g004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Population_structure_results_for_K_2_ancestral_populations_sorted_by_ancestry_proportions_for_African_American_biobank_sample_ANY_and_Hispanic_American_biobank_sample_HNY_Top_and_pooled_sample_of_both_ANY_and_HNY_Bottom_/447800", "title"=>"Population structure results for <i>K</i> = 2 ancestral populations sorted by ancestry proportions for African American biobank sample (ANY) and Hispanic American biobank sample (HNY) (Top) and pooled sample of both ANY and HNY (Bottom).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 18:38:03"}
  • {"files"=>["https://ndownloader.figshare.com/files/777621"], "description"=>"<p><b>a:</b> Linkage disequilibrium structure (Top) and organization of haplotypes harboring published obesity variants (rsIDs indicated with blue boxes) in <b>FTO</b> gene in biobank sample of African Americans (left column), European Americans (middle column), and Hispanic Americans (right column). <b>b:</b> Linkage disequilibrium structure (Top) and organization of haplotypes harboring published obesity variants (rsIDs indicated with blue boxes) in <b>MC4R</b> gene in biobank sample of African Americans (left column), European Americans (middle column), and Hispanic Americans (right column).</p>", "links"=>[], "tags"=>["genetics and genomics", "public health and epidemiology", "Non-clinical medicine"], "article_id"=>447982, "categories"=>["Medicine", "Genetics", "Biotechnology"], "users"=>["Bamidele O. Tayo", "Marie Teil", "Liping Tong", "Huaizhen Qin", "Gregory Khitrov", "Weijia Zhang", "Quinbin Song", "Omri Gottesman", "Xiaofeng Zhu", "Alexandre C. Pereira", "Richard S. Cooper", "Erwin P. Böttinger"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0019166.g005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_5_/447982", "title"=>"Figure 5", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 18:38:57"}
  • {"files"=>["https://ndownloader.figshare.com/files/777800"], "description"=>"<p><b>a:</b> Linkage disequilibrium structure (Top) and organization of haplotypes harboring published pharmacogenomic variants (rsIDs indicated with blue boxes) in <b>SLCO1B1</b> gene in biobank sample of African Americans (left column), European Americans (middle column), and Hispanic Americans (right column). <b>b:</b> Linkage disequilibrium structure (Top) and organization of haplotypes harboring published pharmacogenomic variants (rsIDs indicated with blue boxes) in <b>CYP4F2</b> gene in biobank sample of African Americans (left column), European Americans (middle column), and Hispanic Americans (right column).</p>", "links"=>[], "tags"=>["genetics and genomics", "public health and epidemiology", "Non-clinical medicine"], "article_id"=>448157, "categories"=>["Medicine", "Genetics", "Biotechnology"], "users"=>["Bamidele O. Tayo", "Marie Teil", "Liping Tong", "Huaizhen Qin", "Gregory Khitrov", "Weijia Zhang", "Quinbin Song", "Omri Gottesman", "Xiaofeng Zhu", "Alexandre C. Pereira", "Richard S. Cooper", "Erwin P. Böttinger"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0019166.g006"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Figure_6_/448157", "title"=>"Figure 6", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 18:39:54"}
  • {"files"=>["https://ndownloader.figshare.com/files/777940"], "description"=>"<p>BMI associations with published obesity variants in FTO (Top) and MC4R (Bottom) genes in the three biobank samples.</p>", "links"=>[], "tags"=>["associations", "published", "obesity", "variants", "fto", "mc4r", "genes", "biobank"], "article_id"=>448289, "categories"=>["Medicine", "Genetics", "Biotechnology"], "users"=>["Bamidele O. Tayo", "Marie Teil", "Liping Tong", "Huaizhen Qin", "Gregory Khitrov", "Weijia Zhang", "Quinbin Song", "Omri Gottesman", "Xiaofeng Zhu", "Alexandre C. Pereira", "Richard S. Cooper", "Erwin P. Böttinger"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0019166.g007"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_BMI_associations_with_published_obesity_variants_in_FTO_Top_and_MC4R_Bottom_genes_in_the_three_biobank_samples_/448289", "title"=>"BMI associations with published obesity variants in FTO (Top) and MC4R (Bottom) genes in the three biobank samples.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-02-20 18:40:33"}
  • {"files"=>["https://ndownloader.figshare.com/files/778053"], "description"=>"<p><i>Mean ± SD</i>.</p>", "links"=>[], "tags"=>["genetics and genomics", "public health and epidemiology", "Non-clinical medicine"], "article_id"=>448411, "categories"=>["Medicine", "Genetics", "Biotechnology"], "users"=>["Bamidele O. Tayo", "Marie Teil", "Liping Tong", "Huaizhen Qin", "Gregory Khitrov", "Weijia Zhang", "Quinbin Song", "Omri Gottesman", "Xiaofeng Zhu", "Alexandre C. Pereira", "Richard S. Cooper", "Erwin P. Böttinger"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0019166.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_subjects_/448411", "title"=>"Characteristics of subjects.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 18:41:09"}

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