Fitness Consequences of Advanced Ancestral Age over Three Generations in Humans
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{"title"=>"Fitness consequences of advanced ancestral age over three generations in humans", "type"=>"journal", "authors"=>[{"first_name"=>"Adam D.", "last_name"=>"Hayward", "scopus_author_id"=>"35075879000"}, {"first_name"=>"Virpi", "last_name"=>"Lummaa", "scopus_author_id"=>"6602197176"}, {"first_name"=>"Georgii A.", "last_name"=>"Bazykin", "scopus_author_id"=>"6507225215"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "isbn"=>"1932-6203", "doi"=>"10.1371/journal.pone.0128197", "pui"=>"604923679", "sgr"=>"84932626608", "pmid"=>"26030274", "scopus"=>"2-s2.0-84932626608"}, "id"=>"61891705-6c05-3c68-942d-243d355f58bd", "abstract"=>"A rapid rise in age at parenthood in contemporary societies has increased interest in reports of higher prevalence of de novo mutations and health problems in individuals with older fathers, but the fitness consequences of such age effects over several generations remain untested. Here, we use extensive pedigree data on seven pre-industrial Finnish populations to show how the ages of ancestors for up to three generations are associated with fitness traits. Individuals whose fathers, grandfathers and great-grandfathers fathered their lineage on average under age 30 were ~13% more likely to survive to adulthood than those whose ancestors fathered their lineage at over 40 years. In addition, females had a lower probability of marriage if their male ancestors were older. These findings are consistent with an increase of the number of accumulated de novo mutations with male age, suggesting that deleterious mutations acquired from recent ancestors may be a substantial burden to fitness in humans. However, possible non-mutational explanations for the observed associations are also discussed.", "link"=>"http://www.mendeley.com/research/fitness-consequences-advanced-ancestral-age-three-generations-humans", "reader_count"=>10, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>4, "Student > Master"=>3}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Researcher"=>2, "Student > Ph. D. Student"=>4, "Student > Master"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Agricultural and Biological Sciences"=>8, "Social Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Social Sciences"=>{"Social Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>8}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"United Kingdom"=>1}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2090036", "https://ndownloader.figshare.com/files/2090037", "https://ndownloader.figshare.com/files/2090038", "https://ndownloader.figshare.com/files/2090039", "https://ndownloader.figshare.com/files/2090040", "https://ndownloader.figshare.com/files/2090041", "https://ndownloader.figshare.com/files/2090042", "https://ndownloader.figshare.com/files/2090043"], "description"=>"<div><p>A rapid rise in age at parenthood in contemporary societies has increased interest in reports of higher prevalence of <i>de novo</i> mutations and health problems in individuals with older fathers, but the fitness consequences of such age effects over several generations remain untested. Here, we use extensive pedigree data on seven pre-industrial Finnish populations to show how the ages of ancestors for up to three generations are associated with fitness traits. Individuals whose fathers, grandfathers and great-grandfathers fathered their lineage on average under age 30 were ~13% more likely to survive to adulthood than those whose ancestors fathered their lineage at over 40 years. In addition, females had a lower probability of marriage if their male ancestors were older. These findings are consistent with an increase of the number of accumulated <i>de novo</i> mutations with male age, suggesting that deleterious mutations acquired from recent ancestors may be a substantial burden to fitness in humans. However, possible non-mutational explanations for the observed associations are also discussed.</p></div>", "links"=>[], "tags"=>["40 years", "generation", "fitness consequences", "age 30", "pedigree data", "mutation", "fitness traits", "ancestor", "lineage", "Advanced Ancestral Age", "age Effects", "health problems"], "article_id"=>1432199, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Adam D. Hayward", "Virpi Lummaa", "Georgii A. Bazykin"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0128197.s001", "https://dx.doi.org/10.1371/journal.pone.0128197.s002", "https://dx.doi.org/10.1371/journal.pone.0128197.s003", "https://dx.doi.org/10.1371/journal.pone.0128197.s004", "https://dx.doi.org/10.1371/journal.pone.0128197.s005", "https://dx.doi.org/10.1371/journal.pone.0128197.s006", "https://dx.doi.org/10.1371/journal.pone.0128197.s007", "https://dx.doi.org/10.1371/journal.pone.0128197.s008"], "stats"=>{"downloads"=>12, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Fitness_Consequences_of_Advanced_Ancestral_Age_over_Three_Generations_in_Humans_/1432199", "title"=>"Fitness Consequences of Advanced Ancestral Age over Three Generations in Humans", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-06-01 03:11:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/2090032"], "description"=>"<p>(A) The probability of a male (n = 757) surviving to the age of 15 marrying was not significantly related to the weighted mean age of male ancestors (WMAMA). However, in females (n = 703), (B) individuals in the highest WMAMA quartile are considerably less likely to marry than those with lower WMAMA. Bars show mean survival to 15 within each WMAMA quartile, ±1 standard error. The lower threshold of the 2nd, 3rd and 4th quartiles are 30.26, 32.81 and 35.80 years in males, and 30.26, 32.92 and 35.66 years in females.</p>", "links"=>[], "tags"=>["40 years", "generation", "fitness consequences", "age 30", "pedigree data", "mutation", "fitness traits", "ancestor", "lineage", "Advanced Ancestral Age", "age Effects", "health problems"], "article_id"=>1432195, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Adam D. Hayward", "Virpi Lummaa", "Georgii A. Bazykin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128197.g003", "stats"=>{"downloads"=>1, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Change_in_probability_of_marriage_with_WMAMA_/1432195", "title"=>"Change in probability of marriage with WMAMA.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-01 03:11:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/2090031"], "description"=>"<p>Bars show mean survival to 15 within each WMAMA quartile, ±1 standard error. The lower threshold of the 2nd, 3rd and 4th WMAMA quartiles are 30.43, 32.92 and 35.86 years respectively.</p>", "links"=>[], "tags"=>["40 years", "generation", "fitness consequences", "age 30", "pedigree data", "mutation", "fitness traits", "ancestor", "lineage", "Advanced Ancestral Age", "age Effects", "health problems"], "article_id"=>1432194, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Adam D. Hayward", "Virpi Lummaa", "Georgii A. Bazykin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128197.g002", "stats"=>{"downloads"=>2, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Individuals_n_4_167_with_higher_weighted_mean_age_of_male_ancestors_WMAMA_had_lower_survival_to_the_age_of_15_/1432194", "title"=>"Individuals (n = 4,167) with higher weighted mean age of male ancestors (WMAMA) had lower survival to the age of 15.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-01 03:11:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/2090034"], "description"=>"<p>The posterior modes and 95% boundaries of the highest probability density intervals (HPDIs) are shown on the logit scale calculated by the model, which analysed data from 703 females. We omitted from this final model any fixed effects which had 95% HPDIs which overlapped zero. See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128197#sec008\" target=\"_blank\">Methods</a> for a full description of fixed effects included in the initial model.</p><p>The estimated posterior distributions of fixed and random effects from the generalised linear mixed-effects model (GLMM) used to analyse associations between weighted mean age of male ancestors (WMAMA) and the probability of marriage in females.</p>", "links"=>[], "tags"=>["40 years", "generation", "fitness consequences", "age 30", "pedigree data", "mutation", "fitness traits", "ancestor", "lineage", "Advanced Ancestral Age", "age Effects", "health problems"], "article_id"=>1432197, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Adam D. Hayward", "Virpi Lummaa", "Georgii A. Bazykin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128197.t002", "stats"=>{"downloads"=>4, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_estimated_posterior_distributions_of_fixed_and_random_effects_from_the_generalised_linear_mixed_effects_model_GLMM_used_to_analyse_associations_between_weighted_mean_age_of_male_ancestors_WMAMA_and_the_probability_of_marriage_in_females_/1432197", "title"=>"The estimated posterior distributions of fixed and random effects from the generalised linear mixed-effects model (GLMM) used to analyse associations between weighted mean age of male ancestors (WMAMA) and the probability of marriage in females.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-06-01 03:11:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/2090033"], "description"=>"<p>The posterior modes and Lower and Upper 95% boundaries of the highest probability density intervals (HPDIs) are shown on the logit scale calculated by the model, which analysed data from 4,167 males and females. 95% HPDIs for maternal age overlap zero, but this term was included in the final model since the 95% HPDIs did not overlap zero until WMAMA was included; we therefore wished to account for all possibly important factors associated with survival to 15 when estimating the association with WMAMA. We omitted from this final model any fixed effects which had 95% HPDIs which overlapped zero. See <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128197#sec008\" target=\"_blank\">Methods</a> for a full description of fixed effects included in the initial model.</p><p>The estimated posterior distributions of fixed and random effects from the generalised linear mixed-effects model (GLMM) used to analyse associations between weighted mean age of male ancestors (WMAMA) and survival to age 15.</p>", "links"=>[], "tags"=>["40 years", "generation", "fitness consequences", "age 30", "pedigree data", "mutation", "fitness traits", "ancestor", "lineage", "Advanced Ancestral Age", "age Effects", "health problems"], "article_id"=>1432196, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Adam D. Hayward", "Virpi Lummaa", "Georgii A. Bazykin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128197.t001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_estimated_posterior_distributions_of_fixed_and_random_effects_from_the_generalised_linear_mixed_effects_model_GLMM_used_to_analyse_associations_between_weighted_mean_age_of_male_ancestors_WMAMA_and_survival_to_age_15_/1432196", "title"=>"The estimated posterior distributions of fixed and random effects from the generalised linear mixed-effects model (GLMM) used to analyse associations between weighted mean age of male ancestors (WMAMA) and survival to age 15.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-06-01 03:11:14"}
  • {"files"=>["https://ndownloader.figshare.com/files/2090030"], "description"=>"<p>The ages at which the male or female proband’s male ancestors (white squares) fathered the proband and the proband’s ancestors were used, weighted by the degree of mean relatedness. Grey circles represent the proband’s female ancestors, whose ages were not used in the calculation (maternal age was controlled for in the models; see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128197#sec008\" target=\"_blank\">Methods</a>). Individuals in our data set had at least both grandfathers known, with varying numbers of great-grandfathers, a factor which was accounted for in the calculation (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128197#sec008\" target=\"_blank\">Methods</a>).</p>", "links"=>[], "tags"=>["40 years", "generation", "fitness consequences", "age 30", "pedigree data", "mutation", "fitness traits", "ancestor", "lineage", "Advanced Ancestral Age", "age Effects", "health problems"], "article_id"=>1432193, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Adam D. Hayward", "Virpi Lummaa", "Georgii A. Bazykin"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128197.g001", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Representation_of_the_data_structure_for_calculation_of_weighted_mean_age_of_male_ancestors_WMAMA_/1432193", "title"=>"Representation of the data structure for calculation of weighted mean age of male ancestors (WMAMA).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-06-01 03:11:14"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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