Evidence map›Paper›PMID 38047997›Full record

ArticleJournal of bioethical inquiry2024

Islamic Perspectives on Polygenic Testing and Selection of IVF Embryos (PGT-P) for Optimal Intelligence and Other Non-Disease-Related Socially Desirable Traits.

A H B Chin, Q Al-Balas, M F Ahmad, N Alsomali, M Ghaly

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Article in Journal of bioethical inquiry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

A H B ChinSingapore Fertility and IVF Consultancy Pvt Ltd., Hong Lim Complex, 531A Upper Cross Street, Chinatown, Singapore. boonchinheng@yahoo.com.ORCID 0000-0002-3547-5271
Q Al-BalasDepartment of Medicinal Chemistry and Pharmacognosy, Faculty of Pharmacy, Jordan University of Science and Technology, Irbid, Jordan.
M F AhmadAdvanced Reproductive Centre (ARC), Department of Obstetrics & Gynecology, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Cheras, Kuala Lumpur, Malaysia.
N AlsomaliResearch Center, Neuroscience Research Department, King Fahad Medical City, Riyadh, Saudi Arabia.
M GhalyResearch Center for Islamic Legislation and Ethics (CILE), College of Islamic Studies, Hamad Bin Khalifa University, Ar-Rayyan, Qatar. mghaly@hbku.edu.qa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the genetic testing and selection of IVF embryos, known as preimplantation genetic testing (PGT), has gained much traction in clinical assisted reproduction for preventing transmission of genetic defects. However, a more recent ethically and morally controversial development in PGT is its possible use in selecting IVF embryos for optimal intelligence quotient (IQ) and other non-disease-related socially desirable traits, such as tallness, fair complexion, athletic ability, and eye and hair colour, based on polygenic risk scores (PRS), in what is referred to as PGT-P. Artificial intelligence (AI) and machine learning-based analysis of big data sets collated from genome sequencing of specific human ethnic populations can be used to estimate an individual embryo's likelihood of developing such multifactorial traits by analysing the combination of specific genetic variants within its genome. Superficially, this technique appears compliant with Islamic principles and ethics. Because there is no modification of the human genome, there is no tampering with Allah's creation (taghyīr khalq Allah). Nevertheless, a more critical analysis based on the five maxims of Islamic jurisprudence (qawa'id fiqhiyyah) that are often utilized in discourses on Islamic bioethics, namely qaṣd (intention), yaqın̄ (certainty), ḍarar (injury), ḍarūra (necessity), and `urf (custom), would instead reveal some major ethical and moral flaws of this new medical technology in the selection of non-disease-related socially desirable traits, and its non-compliance with the spirit and essence of Islamic law (shariah). Muslim scholars, jurists, doctors, and biomedical scientists should debate this further and issue a fatwa on this new medical technology platform.

Indexed as

Fertilization in VitroGenetic TestingIslamMultifactorial InheritancePreimplantation DiagnosisArtificial IntelligenceFemaleHumansIntelligencePregnancyReligion and MedicineFatwaIslamMuslimsPolygenic Risk ScoresPreimplantation genetic testing

Identifiers

PMID38047997
PMCPMC11652572

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