ABO Genotype, ‘Blood-Type’ Diet and Cardiometabolic Risk Factors
Publication Date
January 15, 2014
Journal
PLOS ONE
Authors
Jingzhou Wang, Bibiana García Bailo, Daiva E. Nielsen & Ahmed El Sohemy
Volume
9
Issue
1
Pages
e84749
DOI
https://dx.plos.org/10.1371/journal.pone.0084749
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0084749
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/24454746
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3893150
Europe PMC
http://europepmc.org/abstract/MED/24454746
Web of Science
000330235100033
Scopus
84898639658
Mendeley
http://www.mendeley.com/research/abo-genotype-bloodtype-diet-cardiometabolic-risk-factors
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Mendeley | Further Information

{"title"=>"ABO genotype, 'Blood-Type' diet and cardiometabolic risk factors", "type"=>"journal", "authors"=>[{"first_name"=>"Jingzhou", "last_name"=>"Wang", "scopus_author_id"=>"56115522800"}, {"first_name"=>"Bibiana", "last_name"=>"García-Bailo", "scopus_author_id"=>"23972090700"}, {"first_name"=>"Daiva E.", "last_name"=>"Nielsen", "scopus_author_id"=>"37020337000"}, {"first_name"=>"Ahmed", "last_name"=>"El-Sohemy", "scopus_author_id"=>"6701540724"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84898639658", "doi"=>"10.1371/journal.pone.0084749", "issn"=>"19326203", "pui"=>"372838388", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "pmid"=>"24454746", "scopus"=>"2-s2.0-84898639658"}, "id"=>"7d26f97e-0ec3-32aa-8a9d-628870ced495", "abstract"=>"BACKGROUND: The 'Blood-Type' diet advises individuals to eat according to their ABO blood group to improve their health and decrease risk of chronic diseases such as cardiovascular disease. However, the association between blood type-based dietary patterns and health outcomes has not been examined. The objective of this study was to determine the association between 'blood-type' diets and biomarkers of cardiometabolic health and whether an individual's ABO genotype modifies any associations.\\n\\nMETHODS: Subjects (n = 1,455) were participants of the Toronto Nutrigenomics and Health study. Dietary intake was assessed using a one-month, 196-item food frequency questionnaire and a diet score was calculated to determine relative adherence to each of the four 'Blood-Type' diets. ABO blood group was determined by genotyping rs8176719 and rs8176746 in the ABO gene. ANCOVA, with age, sex, ethnicity, and energy intake as covariates, was used to compare cardiometabolic biomarkers across tertiles of each 'Blood-Type' diet score.\\n\\nRESULTS: Adherence to the Type-A diet was associated with lower BMI, waist circumference, blood pressure, serum cholesterol, triglycerides, insulin, HOMA-IR and HOMA-Beta (P<0.05). Adherence to the Type-AB diet was also associated with lower levels of these biomarkers (P<0.05), except for BMI and waist circumference. Adherence to the Type-O diet was associated with lower triglycerides (P<0.0001). Matching the 'Blood-Type' diets with the corresponding blood group did not change the effect size of any of these associations. No significant association was found for the Type-B diet.\\n\\nCONCLUSIONS: Adherence to certain 'Blood-Type' diets is associated with favorable effects on some cardiometabolic risk factors, but these associations were independent of an individual's ABO genotype, so the findings do not support the 'Blood-Type' diet hypothesis.", "link"=>"http://www.mendeley.com/research/abo-genotype-bloodtype-diet-cardiometabolic-risk-factors", "reader_count"=>133, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>2, "Librarian"=>2, "Researcher"=>14, "Student > Doctoral Student"=>8, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>11, "Other"=>14, "Student > Master"=>30, "Student > Bachelor"=>37, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>2, "Librarian"=>2, "Researcher"=>14, "Student > Doctoral Student"=>8, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>11, "Other"=>14, "Student > Master"=>30, "Student > Bachelor"=>37, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Agricultural and Biological Sciences"=>28, "Arts and Humanities"=>1, "Philosophy"=>1, "Chemistry"=>3, "Computer Science"=>3, "Engineering"=>2, "Nursing and Health Professions"=>18, "Biochemistry, Genetics and Molecular Biology"=>11, "Materials Science"=>1, "Medicine and Dentistry"=>35, "Design"=>1, "Sports and Recreations"=>10, "Pharmacology, Toxicology and Pharmaceutical Science"=>2, "Physics and Astronomy"=>3, "Psychology"=>2, "Social Sciences"=>5, "Immunology and Microbiology"=>3}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>35}, "Social Sciences"=>{"Social Sciences"=>5}, "Sports and Recreations"=>{"Sports and Recreations"=>10}, "Physics and Astronomy"=>{"Physics and Astronomy"=>3}, "Psychology"=>{"Psychology"=>2}, "Unspecified"=>{"Unspecified"=>4}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>2}, "Arts and Humanities"=>{"Arts and Humanities"=>1}, "Design"=>{"Design"=>1}, "Engineering"=>{"Engineering"=>2}, "Chemistry"=>{"Chemistry"=>3}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>28}, "Computer Science"=>{"Computer Science"=>3}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>18}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>11}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"United States"=>3, "Japan"=>1, "United Kingdom"=>3, "Portugal"=>1, "India"=>1, "Sweden"=>1, "Norway"=>1, "Luxembourg"=>1, "Poland"=>1, "Brazil"=>4, "Italy"=>1, "South Africa"=>1, "Germany"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1347816"], "description"=>"<p><sup>a</sup> HDL, high density lipoprotein; LDL, low density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; HOMA-IR, homeostasis model of insulin resistance; and HOMA-Beta, homeostasis model of beta-cell function. ANCOVA adjusted for age, sex, ethnicity and energy intake was used to examine associations between levels of cardiometabolic risk factors and tertiles of adherence scores in each ‘Blood-Type’ diet.</p><p><sup>b</sup> Mean ± SE (all such values).</p><p><sup>c</sup> (T1, T2)>T3 after a Tukey-Kramer correction (P<0.05).</p><p><sup>d</sup> T1>T3 after a Tukey-Kramer correction (P<0.05).</p><p><sup>e</sup> T1>T2>T3 after a Tukey-Kramer correction (P<0.05).</p><p><sup>f</sup> T1>(T2, T3) after a Tukey-Kramer correction (P<0.05).</p>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care", "tertiles", "type-ab"], "article_id"=>901440, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084749.t004", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cardiometabolic_Risk_Factors_by_the_Tertiles_of_Type_AB_Diet_Scores_a_/901440", "title"=>"Cardiometabolic Risk Factors by the Tertiles of Type-AB Diet Scores<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-15 03:08:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1347814"], "description"=>"<p><sup>a</sup> HDL, high density lipoprotein; LDL, low density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; HOMA-IR, homeostasis model of insulin resistance; and HOMA-Beta, homeostasis model of beta-cell function. ANCOVA adjusted for age, sex, ethnicity and energy intake was used to examine the interaction effect between the ABO blood group and diet adherence on levels of cardiometabolic risk factors. The Tukey-Kramer procedure was used to adjust for multiple comparisons between groups within each ANCOVA.</p><p><sup>b</sup> Mean ± SE (all such values).</p><p><sup>c</sup> Overall interaction is significant after a Tukey-Kramer correction (P<0.05).</p><p><sup>d</sup> (T2 in Blood Group A) > (T2 in Group B/AB/O) after a Tukey-Kramer correction (P<0.05).</p>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care", "matching", "type-a", "scores", "abo"], "article_id"=>901438, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084749.t006", "stats"=>{"downloads"=>4, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cardiometabolic_Disease_Risk_Factors_by_Matching_Type_A_Diet_Scores_and_ABO_Genotype_a_/901438", "title"=>"Cardiometabolic Disease Risk Factors by Matching Type-A Diet Scores and ABO Genotype<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-15 03:08:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1347811"], "description"=>"<p>‘Blood-Type’ diet (A). Diet score distribution for each ‘Blood-Type’ diet (B).</p>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care"], "article_id"=>901435, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084749.g001", "stats"=>{"downloads"=>2, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_8216_Blood_Type_8217_diet_A_Diet_score_distribution_for_each_8216_Blood_Type_8217_diet_B_/901435", "title"=>"‘Blood-Type’ diet (A). Diet score distribution for each ‘Blood-Type’ diet (B).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-01-15 03:08:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1347819"], "description"=>"<p><sup>a</sup> HDL, high density lipoprotein; LDL, low density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; HOMA-IR, homeostasis model of insulin resistance; and HOMA-Beta, homeostasis model of beta-cell function. ANCOVA adjusted for age, sex, ethnicity and energy intake was used to examine associations between levels of cardiometabolic risk factors and tertiles of adherence scores in each ‘Blood-Type’ diet.</p><p><sup>b</sup> Mean ± SE (all such values).</p><p><sup>c</sup> Overall comparison is significantly different after a Tukey-Kramer correction (P<0.05).</p>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care", "tertiles", "type-b"], "article_id"=>901443, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084749.t003", "stats"=>{"downloads"=>1, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cardiometabolic_Risk_Factors_by_the_Tertiles_of_Type_B_Diet_Score_a_/901443", "title"=>"Cardiometabolic Risk Factors by the Tertiles of Type-B Diet Score<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-15 03:08:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1347818"], "description"=>"<p><sup>a</sup> HDL, high density lipoprotein; LDL, low density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; HOMA-IR, homeostasis model of insulin resistance; and HOMA-Beta, homeostasis model of beta-cell function. ANCOVA adjusted for age, sex, ethnicity and energy intake was used to examine associations between levels of cardiometabolic risk factors and tertiles of adherence scores in each ‘Blood-Type’ diet.</p><p><sup>b</sup> Mean ± SE (all such values).</p><p><sup>c</sup> T1>T3 after a Tukey-Kramer correction (P<0.05).</p><p><sup>d</sup> (T1, T2)>T3 after a Tukey-Kramer correction (P<0.05).</p>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care", "tertiles", "type-a"], "article_id"=>901442, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084749.t002", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cardiometabolic_Risk_Factors_by_the_Tertiles_of_Type_A_Diet_Score_a_/901442", "title"=>"Cardiometabolic Risk Factors by the Tertiles of Type-A Diet Score<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-15 03:08:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1347813"], "description"=>"<p><sup>a</sup> HDL, high density lipoprotein; LDL, low density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; HOMA-IR, homeostasis model of insulin resistance; and HOMA-Beta, homeostasis model of beta-cell function. ANCOVA adjusted for age, sex, ethnicity and energy intake was used to examine the interaction effect between the ABO blood group and diet adherence on levels of cardiometabolic risk factors. The Tukey-Kramer procedure was used to adjust for multiple comparisons between groups within each ANCOVA.</p><p><sup>b</sup> Mean ± SE (all such values).</p>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care", "matching", "type-o", "scores", "abo"], "article_id"=>901437, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084749.t009", "stats"=>{"downloads"=>10, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cardiometabolic_Risk_Factors_by_Matching_Type_O_Diet_Scores_and_ABO_Genotype_a_/901437", "title"=>"Cardiometabolic Risk Factors by Matching Type-O Diet Scores and ABO Genotype<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-15 03:08:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1347812"], "description"=>"<p><sup>a</sup> HDL, high density lipoprotein; LDL, low density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; HOMA-IR, homeostasis model of insulin resistance; and HOMA-Beta, homeostasis model of beta-cell function. ANCOVA adjusted for age, sex, ethnicity and energy intake was used to examine the interaction effect between the ABO blood group and diet adherence on levels of cardiometabolic risk factors. The Tukey-Kramer procedure was used to adjust for multiple comparisons between groups within each ANCOVA.</p><p><sup>b</sup> Mean ± SE (all such values).</p><p><sup>c</sup> Overall interaction is significant after a Tukey-Kramer correction (P<0.05).</p>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care", "matching", "type-ab", "scores", "abo"], "article_id"=>901436, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084749.t008", "stats"=>{"downloads"=>3, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cardiometabolic_Risk_Factors_by_Matching_Type_AB_Diet_Scores_and_ABO_Genotype_a_/901436", "title"=>"Cardiometabolic Risk Factors by Matching Type-AB Diet Scores and ABO Genotype<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-15 03:08:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1347821", "https://ndownloader.figshare.com/files/1347822"], "description"=>"<div><p>Background</p><p>The ‘Blood-Type’ diet advises individuals to eat according to their ABO blood group to improve their health and decrease risk of chronic diseases such as cardiovascular disease. However, the association between blood type-based dietary patterns and health outcomes has not been examined. The objective of this study was to determine the association between ‘blood-type’ diets and biomarkers of cardiometabolic health and whether an individual's <i>ABO</i> genotype modifies any associations.</p><p>Methods</p><p>Subjects (n = 1,455) were participants of the Toronto Nutrigenomics and Health study. Dietary intake was assessed using a one-month, 196-item food frequency questionnaire and a diet score was calculated to determine relative adherence to each of the four ‘Blood-Type’ diets. ABO blood group was determined by genotyping rs8176719 and rs8176746 in the <i>ABO</i> gene. ANCOVA, with age, sex, ethnicity, and energy intake as covariates, was used to compare cardiometabolic biomarkers across tertiles of each ‘Blood-Type’ diet score.</p><p>Results</p><p>Adherence to the Type-A diet was associated with lower BMI, waist circumference, blood pressure, serum cholesterol, triglycerides, insulin, HOMA-IR and HOMA-Beta (P<0.05). Adherence to the Type-AB diet was also associated with lower levels of these biomarkers (P<0.05), except for BMI and waist circumference. Adherence to the Type-O diet was associated with lower triglycerides (P<0.0001). Matching the ‘Blood-Type’ diets with the corresponding blood group did not change the effect size of any of these associations. No significant association was found for the Type-B diet.</p><p>Conclusions</p><p>Adherence to certain ‘Blood-Type’ diets is associated with favorable effects on some cardiometabolic risk factors, but these associations were independent of an individual's ABO genotype, so the findings do not support the ‘Blood-Type’ diet hypothesis.</p></div>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care", "cardiometabolic"], "article_id"=>901445, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0084749.s001", "https://dx.doi.org/10.1371/journal.pone.0084749.s002"], "stats"=>{"downloads"=>9, "page_views"=>83, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_ABO_Genotype_Blood_Type_Diet_and_Cardiometabolic_Risk_Factors/901445", "title"=>"<i>ABO</i> Genotype, ‘Blood-Type’ Diet and Cardiometabolic Risk Factors", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2014-01-15 03:08:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1347820"], "description"=>"<p><sup>a</sup> HDL, high density lipoprotein; LDL, low density lipoprotein; hs-CRP, high-sensitivity C-reactive protein. HOMA-IR, homeostasis model of insulin resistance; and HOMA-Beta, homeostasis model of beta-cell function. Differences across blood groups were assessed using χ2 test for categorical variables and ANCOVA for continuous variables with adjustment for age, sex, ethnocultural group and energy intake.</p><p><sup>b</sup> Mean ± SE (all such values).</p><p><sup>c</sup> Overall comparison is significantly different after a Tukey-Kramer correction (P<0.05).</p><p><sup>d</sup> (Blood Group A, Group B) > Group O after a Tukey-Kramer correction (P<0.05).</p><p><sup>e</sup> Overall comparison is significantly different after a Tukey-Kramer correction (P<0.05).</p>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care", "abo"], "article_id"=>901444, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084749.t001", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Subject_Characteristics_by_ABO_Genotype_a_/901444", "title"=>"Subject Characteristics by ABO Genotype<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-15 03:08:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1347817"], "description"=>"<p><sup>a</sup> HDL, high density lipoprotein; LDL, low density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; HOMA-IR, homeostasis model of insulin resistance; and HOMA-Beta, homeostasis model of beta-cell function. ANCOVA adjusted for age, sex, ethnicity and energy intake was used to examine associations between levels of cardiometabolic risk factors and tertiles of adherence scores in each ‘Blood-Type’ diet.</p><p><sup>b</sup> Mean ± SE (all such values).</p><p><sup>c</sup> (T1>(T2, T3) after a Tukey-Kramer correction (P<0.05).</p>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care", "tertiles", "type-o"], "article_id"=>901441, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084749.t005", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cardiometabolic_Risk_Factors_by_the_Tertiles_of_Type_O_Diet_Scores_a_/901441", "title"=>"Cardiometabolic Risk Factors by the Tertiles of Type-O Diet Scores<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-15 03:08:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/1347815"], "description"=>"<p><sup>a</sup> HDL, high density lipoprotein; LDL, low density lipoprotein; hs-CRP, high-sensitivity C-reactive protein; HOMA-IR, homeostasis model of insulin resistance; and HOMA-Beta, homeostasis model of beta-cell function. ANCOVA adjusted for age, sex, ethnicity and energy intake was used to examine the interaction effect between the ABO blood group and diet adherence on levels of cardiometabolic risk factors. The Tukey-Kramer procedure was used to adjust for multiple comparisons between groups within each ANCOVA.</p><p><sup>b</sup> Mean ± SE (all such values).</p>", "links"=>[], "tags"=>["genetics", "Heredity", "genotypes", "cardiovascular", "Clinical genetics", "Personalized medicine", "Complementary and alternative medicine", "epidemiology", "Biomarker epidemiology", "Cardiovascular disease epidemiology", "Genetic epidemiology", "hematology", "nutrition", "Primary care", "matching", "type-b", "scores", "abo"], "article_id"=>901439, "categories"=>["Biological Sciences", "Medicine"], "users"=>["Jingzhou Wang", "Bibiana Garcia-Bailo", "Daiva E. Nielsen", "Ahmed El-Sohemy"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0084749.t007", "stats"=>{"downloads"=>3, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cardiometabolic_Risk_Factors_by_Matching_Type_B_Diet_Scores_and_ABO_Genotype_a_/901439", "title"=>"Cardiometabolic Risk Factors by Matching Type-B Diet Scores and ABO Genotype<sup>a</sup>.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-01-15 03:08:28"}

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Relative Metric

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