Genetic Markers of Adult Obesity Risk Are Associated with Greater Early Infancy Weight Gain and Growth
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{"title"=>"Genetic Markers of Adult Obesity Risk Are Associated with Greater Early Infancy Weight Gain and Growth", "type"=>"journal", "authors"=>[{"first_name"=>"Cathy E.", "last_name"=>"Elks"}, {"first_name"=>"Ruth J. F.", "last_name"=>"Loos"}, {"first_name"=>"Stephen J.", "last_name"=>"Sharp"}, {"first_name"=>"Claudia", "last_name"=>"Langenberg"}, {"first_name"=>"Susan M.", "last_name"=>"Ring"}, {"first_name"=>"Nicholas J.", "last_name"=>"Timpson"}, {"first_name"=>"Andrew R.", "last_name"=>"Ness"}, {"first_name"=>"George", "last_name"=>"Davey Smith"}, {"first_name"=>"David B.", "last_name"=>"Dunger"}, {"first_name"=>"Nicholas J.", "last_name"=>"Wareham"}, {"first_name"=>"Ken K.", "last_name"=>"Ong"}], "year"=>2010, "source"=>"PLoS Medicine", "identifiers"=>{"issn"=>"1549-1676", "pmid"=>"20520848", "doi"=>"10.1371/journal.pmed.1000284", "isbn"=>"1549-1676 (Electronic)\\r1549-1277 (Linking)"}, "id"=>"3b26655c-7226-3b5d-a898-c8aa09a37465", "abstract"=>"BACKGROUND: Genome-wide studies have identified several common genetic variants that are robustly associated with adult obesity risk. Exploration of these genotype associations in children may provide insights into the timing of weight changes leading to adult obesity.\\n\\nMETHODS AND FINDINGS: Children from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort were genotyped for ten genetic variants previously associated with adult BMI. Eight variants that showed individual associations with childhood BMI (in/near: FTO, MC4R, TMEM18, GNPDA2, KCTD15, NEGR1, BDNF, and ETV5) were used to derive an \"obesity-risk-allele score\" comprising the total number of risk alleles (range: 2-15 alleles) in each child with complete genotype data (n = 7,146). Repeated measurements of weight, length/height, and body mass index from birth to age 11 years were expressed as standard deviation scores (SDS). Early infancy was defined as birth to age 6 weeks, and early infancy failure to thrive was defined as weight gain between below the 5th centile, adjusted for birth weight. The obesity-risk-allele score showed little association with birth weight (regression coefficient: 0.01 SDS per allele; 95% CI 0.00-0.02), but had an apparently much larger positive effect on early infancy weight gain (0.119 SDS/allele/year; 0.023-0.216) than on subsequent childhood weight gain (0.004 SDS/allele/year; 0.004-0.005). The obesity-risk-allele score was also positively associated with early infancy length gain (0.158 SDS/allele/year; 0.032-0.284) and with reduced risk of early infancy failure to thrive (odds ratio = 0.92 per allele; 0.86-0.98; p = 0.009).\\n\\nCONCLUSIONS: The use of robust genetic markers identified greater early infancy gains in weight and length as being on the pathway to adult obesity risk in a contemporary birth cohort.", "link"=>"http://www.mendeley.com/research/genetic-markers-adult-obesity-risk-associated-greater-early-infancy-weight-gain-growth-6", "reader_count"=>131, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>4, "Librarian"=>1, "Researcher"=>37, "Student > Doctoral Student"=>10, "Student > Ph. D. Student"=>21, "Student > Postgraduate"=>7, "Student > Master"=>29, "Other"=>7, "Student > Bachelor"=>7, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>4, "Librarian"=>1, "Researcher"=>37, "Student > Doctoral Student"=>10, "Student > Ph. D. Student"=>21, "Student > Postgraduate"=>7, "Student > Master"=>29, "Other"=>7, "Student > Bachelor"=>7, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Biochemistry, Genetics and Molecular Biology"=>6, "Nursing and Health Professions"=>3, "Medicine and Dentistry"=>51, "Agricultural and Biological Sciences"=>48, "Neuroscience"=>1, "Sports and Recreations"=>2, "Business, Management and Accounting"=>2, "Psychology"=>6, "Social Sciences"=>7, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>51}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>7}, "Sports and Recreations"=>{"Sports and Recreations"=>2}, "Psychology"=>{"Psychology"=>6}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>48}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>6}, "Unspecified"=>{"Unspecified"=>4}}, "reader_count_by_country"=>{"United States"=>4, "United Kingdom"=>3, "Kenya"=>1}, "group_count"=>10}

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  • {"files"=>["https://ndownloader.figshare.com/files/421947", "https://ndownloader.figshare.com/files/421955", "https://ndownloader.figshare.com/files/421961", "https://ndownloader.figshare.com/files/421967"], "description"=>"<div><h3>Background</h3><p>Genome-wide studies have identified several common genetic variants that are robustly associated with adult obesity risk. Exploration of these genotype associations in children may provide insights into the timing of weight changes leading to adult obesity.</p><h3>Methods and Findings</h3><p>Children from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort were genotyped for ten genetic variants previously associated with adult BMI. Eight variants that showed individual associations with childhood BMI (in/near: <em>FTO, MC4R, TMEM18, GNPDA2, KCTD15, NEGR1, BDNF</em>, and <em>ETV5</em>) were used to derive an “obesity-risk-allele score” comprising the total number of risk alleles (range: 2–15 alleles) in each child with complete genotype data (<em>n</em> = 7,146). Repeated measurements of weight, length/height, and body mass index from birth to age 11 years were expressed as standard deviation scores (SDS). Early infancy was defined as birth to age 6 weeks, and early infancy failure to thrive was defined as weight gain between below the 5th centile, adjusted for birth weight. The obesity-risk-allele score showed little association with birth weight (regression coefficient: 0.01 SDS per allele; 95% CI 0.00–0.02), but had an apparently much larger positive effect on early infancy weight gain (0.119 SDS/allele/year; 0.023–0.216) than on subsequent childhood weight gain (0.004 SDS/allele/year; 0.004–0.005). The obesity-risk-allele score was also positively associated with early infancy length gain (0.158 SDS/allele/year; 0.032–0.284) and with reduced risk of early infancy failure to thrive (odds ratio  = 0.92 per allele; 0.86–0.98; <em>p</em> = 0.009).</p><h3>Conclusions</h3><p>The use of robust genetic markers identified greater early infancy gains in weight and length as being on the pathway to adult obesity risk in a contemporary birth cohort.</p><h3></h3><p><em>Please see later in the article for the Editors' Summary</em></p></div>", "links"=>[], "tags"=>["markers", "obesity", "are", "greater", "infancy"], "article_id"=>143330, "categories"=>["Genetics", "Neuroscience", "Medicine"], "users"=>["Cathy E. Elks", "Ruth J. F. Loos", "Stephen J. Sharp", "Claudia Langenberg", "Susan M. Ring", "Nicholas J. Timpson", "Andrew R. Ness", "George Davey Smith", "David B. Dunger", "Nicholas J. Wareham", "Ken K. Ong"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1000284.s001", "https://dx.doi.org/10.1371/journal.pmed.1000284.s002", "https://dx.doi.org/10.1371/journal.pmed.1000284.s003", "https://dx.doi.org/10.1371/journal.pmed.1000284.s004"], "stats"=>{"downloads"=>4, "page_views"=>30, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Genetic_Markers_of_Adult_Obesity_Risk_Are_Associated_with_Greater_Early_Infancy_Weight_Gain_and_Growth/143330", "title"=>"Genetic Markers of Adult Obesity Risk Are Associated with Greater Early Infancy Weight Gain and Growth", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2010-05-25 00:55:30"}
  • {"files"=>["https://ndownloader.figshare.com/files/847775"], "description"=>"<p>The risk-allele score comprises genotypes at eight loci (<i>FTO, MC4R, TMEM18, GNPDA2, KCTD15, NEGR1, BDNF</i>, and <i>ETV5</i>). Error bars (and 2nd y-axis) display the mean (±95% CI) BMI SDS at age 9 y for each risk score value.</p>", "links"=>[], "tags"=>["obesity-risk-allele", "alspac"], "article_id"=>518219, "categories"=>["Genetics", "Neuroscience", "Medicine"], "users"=>["Cathy E. Elks", "Ruth J. F. Loos", "Stephen J. Sharp", "Claudia Langenberg", "Susan M. Ring", "Nicholas J. Timpson", "Andrew R. Ness", "George Davey Smith", "David B. Dunger", "Nicholas J. Wareham", "Ken K. Ong"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000284.g001", "stats"=>{"downloads"=>1, "page_views"=>28, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_the_obesity_risk_allele_score_in_ALSPAC_children_/518219", "title"=>"Distribution of the obesity-risk-allele score in ALSPAC children.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-05-25 02:16:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/847851"], "description"=>"<p>Regression coefficients ±95% CI are shown from linear regression models (adjusted for sex and precise age at measurement) according to age at measurement between birth and 11 y.</p>", "links"=>[], "tags"=>["associations", "obesity-risk-allele", "bmi"], "article_id"=>518291, "categories"=>["Genetics", "Neuroscience", "Medicine"], "users"=>["Cathy E. Elks", "Ruth J. F. Loos", "Stephen J. Sharp", "Claudia Langenberg", "Susan M. Ring", "Nicholas J. Timpson", "Andrew R. Ness", "George Davey Smith", "David B. Dunger", "Nicholas J. Wareham", "Ken K. Ong"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000284.g002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Longitudinal_associations_between_the_obesity_risk_allele_score_and_A_weight_SDS_B_length_height_SDS_and_C_BMI_SDS_/518291", "title"=>"Longitudinal associations between the obesity-risk-allele score and (A) weight SDS, (B) length/height SDS, and (C) BMI SDS.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-05-25 02:18:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/847972"], "description"=>"a<p><i>Adjusted for sex, age, and height.</i></p>", "links"=>[], "tags"=>["obesity-risk-allele", "measures", "adiposity"], "article_id"=>518410, "categories"=>["Genetics", "Neuroscience", "Medicine"], "users"=>["Cathy E. Elks", "Ruth J. F. Loos", "Stephen J. Sharp", "Claudia Langenberg", "Susan M. Ring", "Nicholas J. Timpson", "Andrew R. Ness", "George Davey Smith", "David B. Dunger", "Nicholas J. Wareham", "Ken K. Ong"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000284.t002", "stats"=>{"downloads"=>2, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_of_the_obesity_risk_allele_score_with_measures_of_growth_and_adiposity_at_age_9_y_/518410", "title"=>"Association of the obesity-risk-allele score with measures of growth and adiposity at age 9 y.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-05-25 02:20:10"}
  • {"files"=>["https://ndownloader.figshare.com/files/848026"], "description"=>"a<p>At age 9 y.</p>", "links"=>[], "tags"=>["genetics and genomics/complex traits", "pediatrics and child health/child development", "public health and epidemiology/epidemiology"], "article_id"=>518463, "categories"=>["Genetics", "Neuroscience", "Medicine"], "users"=>["Cathy E. Elks", "Ruth J. F. Loos", "Stephen J. Sharp", "Claudia Langenberg", "Susan M. Ring", "Nicholas J. Timpson", "Andrew R. Ness", "George Davey Smith", "David B. Dunger", "Nicholas J. Wareham", "Ken K. Ong"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000284.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_growth_measurements_by_age_and_sex_/518463", "title"=>"Summary of growth measurements by age and sex.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-05-25 02:21:03"}

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