MétaCan
Menu
Retour à la cohorte
Enregistrement W2772337430 · doi:10.1093/ije/dyx261

The causes of human variability: a Darwinian view

2017· letter· en· W2772337430 sur OpenAlexaff
Haili Sun, Yongsheng Liu

Notice bibliographique

RevueInternational Journal of Epidemiology · 2017
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueGenetic Associations and Epidemiology
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésDarwinismEvolutionary biologyBiologyGeography

Résumé

récupéré en direct d'OpenAlex

We enjoy reading Edwards’ commentary1 on R A Fisher’s paper ‘The causes of human variability’.2 This subject is of great interest and importance in human genetics and evolution. It is also reminiscent of another paper, published in the same journal, on a great book in which Fisher and Stock wrote: So melancholy a neglect of Darwin’s work suggests reflections upon the use of those rare and precious possessions of man—great books. It was, we believe, the custom of the late Professor Freeman to warn his students that mastery of one great book was worth any amount of knowledge of many lesser ones. The tendency of modern scientific teaching is to neglect the great books, to lay far too much stress upon relatively unimportant modern work, and to present masses of detail of doubtful truth and questionable weight in such a way as to obscure principles. … How many biological students of today have read The Origin? The majority know it only from extracts, a singularly ineffective means, for a work of a genius does not easily lend itself to the scissors; its unity is too marked. Nothing can really take the place of a firsthand study of the work itself.3 The year 2018 marks not only the 100th anniversary of Fisher’s publication of his ‘The causes of human variability’,2 but more importantly, the 150th anniversary of Darwin’s publication of The Variation of Animals and Plants under Domestication, one of his ‘five great books’. Ironically, in his paper ‘The causes of human variability’,2 Fisher failed to cite this great book. It is in this book that Darwin came nearest to the subject of genetics, and devoted five chapters (Chapters 22 to 26) to variation, which was the objective of the entire book. Darwin’s primary concern was with the causes of variability. He considered the main cause of variability to be changed conditions of life. As he wrote: The greater dissimilarity of the successive children of the same family in comparison with twins, which often resemble each other in external appearance, mental disposition, and constitution, in so extraordinary a manner, apparently proves that the state of the parents at the exact period of conception, or the nature of the subsequent embryonic development, has a direct and powerful influence on the character of the offspring. … Thus I Geoffroy Saint-Hilaire asserts that poor women who work hard during their pregnancy, and the mothers of illegitimate children troubled in their minds and forced to conceal their state, are far more liable to give birth to monsters than women in easy circumstances.4 Of all the causes that induce variability, Darwin held that excess of food was the most powerful. He supposed that changed food could indirectly disturb the due and proper action of the reproductive system, thus influencing the characters of the offspring. He believed that ‘abundant and rich food supplied during many generations would give an inherited tendency to increased size of body’.4 He also noticed that ‘hemp-seed caused bullfinches and certain other birds to become black’, and that ‘caterpillars fed on different food sometimes either themselves acquire a different colour or produce moths differing in colour’.4 This led him to conclude that ‘the nature of the food sometimes definitely induces certain peculiarities, or stands in some close relation with them’.4 Now there is increasing evidence that during pregnancy, alterations in diet indeed affect the offspring across several generations.5 Darwin believed that the tendency of new character or modification to reappear in the offspring at the same age at which it first appeared in the parents, or in one of the parents, was of great importance in the study of inheritance. He gave many instances under the term of ‘inheritance at corresponding age’.4 Now it has been well documented that parental age may influence the characters of the offspring. Many studies have shown that children of older parents tend to be more intelligent than do children of younger parents. Either advanced or teenage parents are associated with risk of birth and health outcomes in offspring. Parental age can also influence dominant characters, longevity, sex ratio, personality and development process of the offspring.6 To fully analyse the effect of parental age on the offspring is of great interest and importance in deciding the optimal age for parenthood.7 In Darwin’s opinion, the effects of use and disuse, reversion or atavism, and hybridization were also responsible for variability. Many people today insist that Darwin did not know the phenomenon of dominance or Mendelian inheritance. This is not the case. In his book The Variation of Animals and Plants under Domestication, Darwin wrote: ‘The law of prepotency comes into action when species are crossed, as with races and individuals’.4 He noticed that: In some cases prepotency apparently depends on the same character being present and visible in one of the two breeds which are crossed, and latent or invisible in the other breed; and in this case it is natural that the character which is potentially present in both breeds should be prepotent. He concluded that ‘a character which is present in one form and latent in the other is generally transmitted with prepotent force when the two forms are crossed’. Obviously, Darwin’s ‘prepotency’ and ‘latency’ are essentially the same as Mendel’s ‘dominance’ and ‘recessivity’.8 Darwin himself conducted experiments with snapdragon, in which he found a ratio of 2.4:1 between two flower forms (peloric and radial) in the second generation of the hybrids.4 In his paper ‘The causes of human variability’,2 Fisher only mentioned Mendel’s dominance but ignored Darwin’s prepotency. In evolutionary biology, the Modern Synthesis or neo-Darwinism which brought Darwinian selection together with Mendelian genetics is well known. Little is known about Darwin’s own synthesis which combined his theory of evolution by natural selection with his theory of heredity and variation—Pangenesis. Darwin assumed that besides the ordinary multiplication, cells could also ‘throw off’ numerous particles or molecules called gemmules, which were able freely to be diffused from cell to cell or circulated through the body, modified by changes in environment or the effects of use and disuse, aggregated into germ cells and transmitted from parent to offspring. If the cells of the body were modified by changes in the environment or by the effects of use and disuse, they would release modified gemmules, which were transmitted with their acquired characters to the offspring. This provides an explanation for the inheritance of acquired characters. Now the discoveries of circulating cell-free DNA, mobile RNAs, prions and other extracellular vesicles indeed support his assumption that cells could shed particles or molecules into the circulation.9 If Darwin’s term ‘modified gemmules’ is replaced by ‘methylated DNA’ or ‘small RNAs’, it seems to be consistent with our current epigenetic explanation.10 In fact, Darwin’s Pangenesis explains a far wider range of phenomena than Mendel had considered. It appears to us that neo-Darwinists were not necessary to graft Darwinian evolution onto Mendelian genetics. The original Darwinism was far more comprehensive than neo-Darwinism, and there is a need to go back to Darwinian Synthesis.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,032
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,015
Score d'incertitude au seuil0,037

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,032
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,009
Communication savante0,0020,005
Science ouverte0,0010,002
Intégrité de la recherche0,0150,025
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,051
Tête enseignante GPT0,377
Écart entre enseignants0,325 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentnon

Explorer davantage

Même revueInternational Journal of EpidemiologyMême sujetGenetic Associations and EpidemiologyTravaux en français237 207