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Enregistrement W2531235254 · doi:10.1534/genetics.116.192096

Taking Exception to Human Eugenics

2016· letter· en· W2531235254 sur OpenAlexaff
Frederick P. Roth, John Wakeley

Notice bibliographique

RevueGenetics · 2016
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBRCA gene mutations in cancer
Établissements canadiensLunenfeld-Tanenbaum Research InstituteUniversity of TorontoCanadian Institute for Advanced Research
Organismes subventionnairesnon disponible
Mots-clésEugenicsScholarshipExceptionalismGeneticsBiologyHuman geneticsReading (process)GenealogySociologyEnvironmental ethicsLawPolitical scienceGeneHistoryPhilosophyPolitics

Résumé

récupéré en direct d'OpenAlex

We are concerned that the Perspectives article “Mutation and Human Exceptionalism: Our Future Genetic Load” by Michael Lynch (2016) opens the dark chapter of eugenics without clearly reading it as a cautionary tale. Given the history of eugenics, especially high standards for scholarship, sensitivity, and attention to historical context are needed when discussing the complex issues surrounding human genetic improvement. Statements similar to those Lynch makes in his article—which in the 1920s and 1930s were being made by leading population geneticists such as R. A. Fisher, J. B. S. Haldane, and H. J. Muller—led directly to eugenic policies and were later readily attached to the genocidal programs of Nazism (Kevles 1995). Failing to engage these issues, or offering vague recommendations, invites misappropriation by those who wish to see the return of an aggressive eugenics. Lynch focuses on the rate and long-term consequences of deleterious mutations in humans. Despite concluding that humans are unexceptional in both germline and somatic mutation rates, he worries that deleterious mutations might accumulate in the future because of “exceptional” human behaviors that “thwart selection.” Specifically, by treating disease and reducing variation in the number of children per person, we reduce the impact of genetics on survival and procreation, and in turn threaten the “future of the human gene pool.” Lynch contrasts deleterious mutations of large effect, which can be detected in parents or early-stage embryos (then “culled”), with mutations that are “impervious to detection” but have selective effects that can be ameliorated by medical intervention. We will refer to these as type 1 and type 2 mutations, respectively. For type 1 mutations, Lynch quantifies the effectiveness of culling “in which a fraction f of the population is accurately screened for the mutation, with carrier chromosomes being culled upon detection.” He does not restrict this statement to prenatal screening, referring also to “direct screening in parents.” To be clear, Lynch did not advocate culling. However, he does ask us to entertain the idea, without specifically discussing the ethical minefield and horrifying history surrounding medical procedures without a net benefit to the recipient. For type 2 mutations, Lynch suggests that the extent to which we thwart selection is the extent to which “bad genes” will become prevalent and eventually exact their cost. Some points in the article are argued poorly. On page 871, Lynch promises to back up the worrisome claim that our mutation rate is destined to increase, saying “...the possibility that the baseline human mutation rate will elevate over time (for reasons discussed below) motivates a strong argument...” yet he never delivers. Presumably “below” refers to the paragraph spanning the two columns of page 872, in which is it claimed that “hundreds of genetic loci influence the mutation rate either directly or indirectly,” without any citation. The paragraph ends with the statement: “It is therefore plausible that the human mutation rate is destined to slowly increase toward exceptional levels.” Despite Lynch’s additional promise early in the article (page 869) that “many of the issues addressed below were raised by Crow prior to the genomics revolution and can now be evaluated in a more quantitative way” (see Crow 1997, 2000), there is no calculation here, only an undocumented claim of plausibility. In arguably the best-supported calculation in the article (page 872, right-hand column), Lynch predicts that, if selection were completely relaxed, the fitness of the human population will decrease at a rate of 1% per generation, due to mutations throughout the genome. However, in his attempt to bridge his demonstration of the effectiveness of culling and this calculation of a 1% decline in fitness, on page 872 Lynch states: “For the most extreme case of completely relaxed selection (sn = 0), beneficial alleles will ultimately be lost entirely (p^n=1.0).” This statement is true only for unidirectional mutation, but Lynch’s next sentence makes it clear that he is referring to mutations among the four nucleotides (also called “base-substitution mutations” earlier in the article). What will actually happen in this case, if selection is absent, is that there will be an equilibrium in which the four nucleotides are present in frequencies determined by the relative rates of mutation among them. This may seem like a minor mistake, but arguments about eugenics should be free from both technical and fundamental error. More fundamentally, there are many reasons to doubt the modeling assumption that selection has been relaxed. Most surprising was Lynch’s failure to consider the environment in which fitness should be measured, or to consider that the fitness that matters most to humanity is fitness in present and future environments. Lynch lists “removal of visual acuity issues by optometry” as a medical intervention that may eventually reduce the fitness of humanity. But as Crow put it, “Who worries about having to wear spectacles?” (Crow 2000). While myopia may have had an important fitness cost in Paleolithic times, glasses are now widely available and seem likely to remain so. Of course for other disease traits, increased prevalence might come at greater cost. However, many medical interventions may become less costly over the time frame of decades to centuries that Lynch considers. As our knowledge of human genetics continues to grow, mutations will shift from the undetectable type 2 category to become actionable type 1 mutations. Already, several alleles associated with refractive error and myopia have been identified (Verhoeven et al. 2013). Does this place near-sightedness alleles within the type I category for which we are asked to contemplate culling? Lynch fails to consider that humanity may be selected for increased fitness in current and future environments. Although he worries about medical technology that reduces selection, he fails to consider selective impacts of other technologies. For example, selection may be acting on our ability to cross busy streets, to avoid drinking and texting while driving, and to avoid firearms. Accidental injury, suicide, and homicide are respectively the 1st , 2nd, and 5th most common causes of death in the United States for people aged 1–44; together they are more common than cancer, heart and liver disease, stroke, diabetes, and asthma put together (Centers for Disease Control and Prevention 2016). Lynch states that we thwart selection when we reduce variation in the number of children per family, and that we will see increasing costs of this unless we alter our course. He mentions “the two-child syndrome in middle-class neighborhoods in westernized societies,” but cites no evidence that coefficients of variation in the number of children per parent have actually fallen. In fact, the fraction of women aged 40–44 in the United States who are childless rose from 10% in 1976 to 18% in 2008 (Livingston and Cohn 2010). Thus, it appears that the number of children remains highly variable and selection may still be effective, even in a westernized society. Indeed, by focusing on human genetic issues that are particularly worrisome for technologically advanced nations, Lynch may be perceived as pitting the residents of such nations against the rest of humanity. Such ambiguity fosters misinterpretation. Moreover, Lynch fails to consider that selective effects within developed nations may have a very limited impact on humanity in general, given that westernized countries are genetically intertwined with the human majority. Even given the unlikely scenario that the combination of modern medicine and family planning were to prevent selection postpartum, it is estimated that 30–40% of all conceptions result in miscarriage, of which at least 50% are attributed to genetic abnormalities (Hurt et al. 2012). This argues strongly against the suggestion that humans will soon escape the effects of genetic selection. We also disagree with Lynch’s assertion of human exceptionalism and statement of “the uniquely human goal of intentionally ameliorating the effects of mutation.” Lynch does not make the case that the goal to survive and reproduce via modern medicine is fundamentally different from the goal of individuals in other species to survive and reproduce no matter the genetic “hand” that each has been dealt. Lynch recommends we gather more information, calling for the “establishment of stable, standardized, multigenerational measurement procedures for various human traits.” This could be a good thing. However, given the history of eugenics, a call to gather information about the genetic health of our species that is uncoupled from the goal of improving medical care for individual patients may be viewed with suspicion. Lynch concludes with a speculative and alarming discussion in which he says we have reason to be particularly concerned about the deterioration of our mental capacity. With his plea: “What will it take to promote serious discourse on the slowly emerging, long-term negative consequences of policies jointly promoted by political, social, and religious factors?” Lynch appears to lament that a predicted 1% fitness decline per generation does not provide enough motivation to alter our course. He goes on to state that “...there is no obvious technological fix for the uniquely human goal of intentionally ameliorating the effects of mutation, nor is there a simple ethical imperative for doing otherwise, short of refocusing our ethical goals on future descendants.” We understand this to mean that, despite the current lack of tools and the absence of an agreed-upon ethical mandate, we must change our ethical values and take the accumulation of deleterious mutations seriously enough to do something about it. The burden of proof was wholly on Lynch to support his thesis that contemporary medicine, family planning, and other modern practices are likely to dangerously reduce the fitness of the human population. Lynch failed to meet this burden of proof on multiple points. Lynch holds that his conclusions are similar to those which others had arrived at previously. Indeed, nearly every point Lynch makes, including his concern about increases in the mutation rate and his call to focus on mental capacity, can be found in the article he cites by Muller (1950). Both Muller (1950) and Crow (1997) hold important ideas worth reading. However, reiterating their concerns without the important caveats they discuss seems reckless. In some times and places, an agreed-upon mandate to pursue eugenics has been present, with disastrous outcomes. We urge GENETICS to establish clear policies requiring that any article touching on human eugenics—e.g., one that entertains strategies to alter human allele frequencies through procedures that do not clearly benefit the recipients—do so with the highest level of rigor, sensitivity, humility, ethical perspective, and historical context. Otherwise, eugenics is a chapter best left closed. We are grateful to Rasmus Nielsen for helpful discussions.

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)0,020
score de la tête « metaresearch » (Gemma)0,062
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,086
Score d'incertitude au seuil0,108

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0200,062
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0070,028
Communication savante0,0090,013
Science ouverte0,0030,008
Intégrité de la recherche0,0860,090
Charge utile insuffisante (le modèle a refusé de juger)0,0050,003

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 Opus0,026
Tête enseignante GPT0,307
Écart entre enseignants0,281 · 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'étudeSans objet
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

Citations9
Publié2016
Routes d'admission1
Résumé présentoui

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