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The importance of integrating genetic testing into reproductive medicine: a retrospective observational study investigating the monogenic causes of human infertility in couples considering ICSI.

The genetic landscape of human infertility is complex with diverse etiologies. Identifying the underlying etiology is crucial for guiding reproductive decisions and improving management for infertile couples. Here, we aim to report on the molecular spectrum of monogenic genetic causes of reproductive failure. Over a 3-year period, we recruited all infertile couples considering assisted reproductive technologies (ART) for whom the underlying genetic cause had been identified, in either partner, using exome sequencing (ES). Clinical data of all participants along with their hormonal profiles, sonographic findings and spermograms were recorded. The study included 50 couples with primary infertility. Clinically, male factor infertility was documented in 26 patients, female factor infertility in 10, while reproductive failure was unexplained in the remaining 14 couples. All participating couples had potentially disease-causing variants in infertility genes. ES identified variants related to male infertility in 26 men, while variants in female infertility-related genes were detected in the remaining couples (n = 24). According to ACMG classification criteria, 78% (39/50) of couples harbored pathogenic/likely pathogenic (P/LP) variants, whereas 22% (11/50) carried variants of uncertain significance (VUS). In view of the identified genetic etiologies, the cohort was stratified into two groups based on the predicted reproductive outcome: (1) couples with significantly impaired reproductive potential, and (2) couples who can have biological children using appropriate medical interventions. However, classifications involving VUS were interpreted cautiously and considered exploratory. This study provides further evidence for the molecular heterogeneity of human infertility and highlights the usefulness of genetic testing for infertile couples pursuing ARTs.

Humans↗

Genetic testing and early diagnosis and intervention: boon or burden?

The possibility of early diagnosis and intervention is radically changed by the advent of genetic testing. The recent report of the Nuffield Council on Bioethics is timely and helpful. I have suggested, that not only the severity of the disability indicated by genetic information, and the accuracy of the data, ought to govern the approach to the implementation of screening for genetic disorders. In addition, assessment of the value of the information to those involved should be considered. The efficacy of the available therapeutic measures, combined with the prognostic data are important indices of the value of the information. These measures fall into three categories and thus indicate that three different courses of intervention may be appropriate. Three approaches to diagnosis and intervention are then outlined, drawing on the experience of various clinical initiatives.

Adult↗

Genetic testing for breast cancer susceptibility: awareness and interest among women in the general population.

Previous research has suggested that demand for genetic testing for breast cancer susceptibility may be quite high, even among those at relatively low risk of carrying a mutation. This study examined the extent to which a group of female HMO enrollees were aware of the discovery of the BRCA1 gene and, without having received detailed information about the test, whether they would be interested in being tested to find out if they have the gene. Factors associated with awareness of and interest in testing were also examined. Four hundred seventy-three women age 50 and over, almost all of whom did not have an increased risk of breast cancer based on family history, were surveyed by telephone. Fifty-one percent of respondents had heard about the discovery of a breast cancer gene. In logistic regression analysis, women who described themselves as comfortable financially, had at least some college education, and were premenopausal were more likely to have heard of the gene discovery than women who were not comfortable financially, had no more than a high school education, and were postmenopausal. Sixty-nine percent of the respondents said that they would be interested in being tested to find out if they had a breast cancer gene. Women who were younger than 60, white, believed their family would benefit if they had a mammogram, and believed that regular mammograms give them a feeling of control over their health, were more likely to be interested in testing than those who were 60 or older, African-American or other, and did not believe that their family would benefit if they had a mammogram or that mammograms give them a feeling of control over their health. These findings have implications for education and counseling. Women who express an interest in being tested must be made fully aware of the limitations and possible consequences of testing. Special efforts may be needed to make information about testing available to women who have low levels of education.

Aged↗

Genetic testing for cystic fibrosis.

OBJECTIVE: To provide health care providers, patients, and the general public with a responsible assessment of the optimal practices for genetic testing for cystic fibrosis (CF). PARTICIPANTS: A non-Federal, nonadvocate, 14-member panel representing the fields of genetics, obstetrics, internal medicine, nursing, social work, epidemiology, pediatrics, psychiatry, genetic counseling, bioethics, health economics, health services research, law, and the public. In addition, 21 experts from these same fields presented data to the panel and a conference audience of 500. EVIDENCE: The literature was searched through Medline, and an extensive bibliography of references was provided to the panel and the conference audience. Experts prepared abstracts with relevant citations from the literature. Scientific evidence was given precedence over clinical anecdotal experience. CONSENSUS PROCESS: The panel, answering predefined questions, developed its conclusions based on the scientific evidence presented in open forum and the scientific literature. The panel composed a draft statement that was read in its entirety and circulated to the experts and the audience for comment. Thereafter, the panel resolved conflicting recommendations and released a revised statement at the end of the conference. The panel finalized the revisions within a few weeks after the conference.

Cost-Benefit Analysis↗

Family system characteristics and psychological adjustment to cancer susceptibility genetic testing: a prospective study.

This study examined prospectively the contribution of family functioning, differentiation to parents, family communication and support from relatives to psychological distress in individuals undergoing genetic susceptibility testing for a known familial pathogenic BRCA1/2 or Hereditary nonpolyposis colorectal cancer-related mutation. Family functioning, differentiation to parents, hereditary cancer-related family communication and perceived support from relatives were assessed in 271 participants for genetic testing before test result disclosure. Hereditary cancer distress (assessed by the Impact of Event Scale) and cancer worry (assessed by the Cancer Worry Scale) were assessed before, 1 week after, and 6 months after test result disclosure. Participants reporting more cancer-related distress over the study period more frequently perceived the communication about hereditary cancer with relatives as inhibited, the nuclear family functioning as disengaged-rigid or enmeshed-chaotic, the support from partner as less than adequate and the relationship to mother as less differentiated. Especially, open communication regarding hereditary cancer and partner support may be important buffers against hereditary cancer distress. Identifying individuals with insufficient sources of support and addressing the family communication concerning hereditary cancer in genetic counseling may help the counselee to adjust better to genetic testing.

Adult↗

Measurement of psychological factors associated with genetic testing for hereditary breast, ovarian and colon cancers.

Despite numerous individual studies of psychological factors (depression, anxiety, distress) related to genetic testing for inherited cancer syndromes (CGT), there has been no systematic review of the psychological factors are measured among individuals at increased risk for hereditary breast, ovarian, or colon cancer. Our review provides an analysis of psychological factors in studies of CGT and discusses the instruments most commonly used to measure them. We performed a literature search using three major OVID databases from 1993 to January 2003. In the 19 studies that met our inclusion criteria, the most commonly assessed psychological factors were distress, anxiety, and depression. These factors were most often measured by the impact of event scale (IES), the state-trait anxiety inventory (STAI), and the Centers for Epidemiologic Studies and Depression scale (CES-D), respectively. Our results show deficits in the existing body of literature on psychological factors associated with CGT including limited documentation of psychometrics and variability in instrumentation.

Anxiety↗

[Genetic testing for ret mutation for early diagnosis and treatment in familial medullary thyroid carcinoma: a case report].

A 13-year-old girl and her older sister were referred to our hospital because her father and another older sister and been suffering from medullary thyroid carcinoma (MTC). Physical examinations revealed no thyroid mass. Ultrasonography (US) detected a small hypoechoic lesion in the right thyroid lobe, 3 mm in size. The serum calcitonin level was slightly elevated for their age. One and half year later, US finding showed a slightly larger mass, 7 mm in size, which was not palpable. Genetic testing for ret protooncogene mutation revealed a point mutation at codon 634 (Cys-->Arg) in exon 11. Surgical treatment was recommended, however, the patient wanted to receive it only after the admission to senior high school. Her sister had no mutation in ret protooncogene. The patient underwent total thyroidectomy with modified neck dissection at 16 years of age. At that time, a new mass emerged in the left thyroid lobe and the serum calcitonin level increased to 171 pg/ml. MTC was found in each lobe with positive staining of CEA and carcitonin. No lymph node metasis was found. Her postoperative course was uneventful. Genetic testing for ret mutation is effective for early diagnosis and treatment of patient with FMTC, and is recommended as standard management for hereditary MTC in affected families.

Adolescent↗

Adult onset neurological disorders. Predictive genetic testing.

BACKGROUND: With the rapid advances in gene discovery and genetic diagnosis, increasing numbers of hereditary adult onset neurological disorders can be diagnosed prior to the onset of symptoms. Such testing is called predictive or presymptomatic testing. OBJECTIVE: To present current practice for predictive testing for adult onset neurological disorders and the rationale behind it. DISCUSSION: Predictive testing should be undertaken in the setting of a formal counselling process both before and after results are given. Counselling incorporates genetic information and social and legal repercussions of taking a predictive genetic test. For predictive genetic testing to be possible, the causative mutation in the family must be known. The majority of those at risk of adult onset incurable neurodegenerative disorders choose not to have predictive testing.

Adult↗

Toward individualized pharmaceutical care of East Asians: the value of genetic testing for polymorphisms in drug-metabolizing genes.

Research into the relationship between genetics and drug response has focused on polymorphisms in genes that encode drug-metabolizing enzymes, particularly the genes of cytochrome P450 superfamily 2, which affect the clearance of the anticoagulant warfarin, proton pump inhibitors, tricyclic antidepressants, and many other clinically relevant drugs. Much of this work has targeted East Asians, a genetically distinguishable and populous group. Researchers have identified polymorphisms that inactivate gene function, compared polymorphism frequencies in East-Asian and Caucasian populations, and determined the effects on the pharmacokinetic parameters of drugs. Detection in an individual of polymorphisms known to inactivate a drug-metabolizing enzyme is predictive of poor metabolism of drugs processed by that pathway, which itself may be predictive of an atypical drug response. Genetic tests can be used to screen for individuals with poor metabolizer phenotypes, with the ultimate goal of predicting the clinical effects of drugs.

Arylamine N-Acetyltransferase↗

The current social, political, and medical role of genetic testing in familial breast and ovarian carcinomas.

Few advances in medical science have yielded as much publicity and controversy as discoveries in genetics. Moving quickly from the bench to the bedside, genetic testing for inherited susceptibility to breast and ovarian cancer has had a significant impact on our paradigms for decisions about the treatment and prevention of disease. Assessment of cancer risk is developing into a distinct discipline, with rapidly evolving genetic technologies and models for estimating an individual's risk of cancer. Exciting developments in chemoprevention of breast cancer demonstrate the potential to offer a broader range of options for decreasing cancer risk. This article will consider recent advances in the understanding of cancer genetics, and describe the state-of-the-art in terms of management of individuals with inherited susceptibility to breast and ovarian cancer.

Breast Neoplasms↗

Genetic testing in competitive insurance markets with repulsion from chance: a welfare analysis.

A central theme in the international debate on genetic testing concerns the extent to which insurance companies should be allowed to use genetic information when offering insurance contracts. We provide a welfare analysis of this issue within a model of an insurance market with asymmetric information, having the following crucial feature: in addition to a state-contingent consumption profile, a person's well-being depends on her attitude towards resolution of future health uncertainty, and this attitude varies across the population. We present stylized facts that motivate this approach. In the formal analysis, we find that both tested high-risks and untested individuals are equally well off whether or not test results can be used by insurers. Individuals who test for being low-risks, on the other hand, are made worse off by not being able to verify this to insurers. This implies that, in terms of welfare, a regulatory regime in which the use of genetic information by insurers is allowed is better than one in which it is not allowed.

Economic Competition↗

Evaluation of a counselling protocol for predictive genetic testing for hereditary non-polyposis colorectal cancer.

OBJECTIVES: To evaluate the feasibility of a reduced counselling programme for predictive genetic testing for hereditary non-polyposis colorectal cancer (HNPCC) in terms of counsellees' opinions on the extent and significance of genetic counselling and need for psychological support at different phases of the testing procedure. DESIGN: Prospective follow up study with pre-test questionnaire assessment of background sociodemographic variables. The protocol comprised a pre-test counselling session, a period for reflection, and a test disclosure session. The outcome variables were studied by post-test questionnaires at one month and one year follow up. SUBJECTS: Two hundred and seventy one high risk members of 36 families with HNPCC who attended both counselling sessions and completed the questionnaires. RESULTS: The pre-test counselling was considered fairly or very useful by 89% of respondents and one post-test session was considered sufficient by over 80% of respondents at follow up. Fifty three percent would have used extra psychological support had it been offered with the counselling. On enquiry one year after receiving the test result, only 2% stated that the need for support was at its greatest at that time, while the majority (46%) reported that the need for support had been greatest at the moment of test disclosure. CONCLUSIONS: A protocol that includes one comprehensive pre-test counselling session and a test disclosure session, supplemented with the option of professional psychological support, seems to be sufficient for both the educational and supportive needs of counsellees. Only a minority expressed a need for post-test follow up sessions, which suggests that, in this disorder, resources can be directed to the beneficial surveillance programmes rather than to extensive psychological support.

Adult↗

The effect of preventability and severity levels of a genetic disorder on desire to communicate genetic testing information to family members.

This study examined the impact of severity and preventability of a genetic disorder on belief that genetic test results should be shared with family members, desire to be tested, and opinions about physician?s role in sharing information. Participants were 359 undergraduate students who received one of four descriptions of a fictitious genetic disorder called hemocythemia (i.e., factorial combination of high versus low disease preventability and high versus low disease severity). Logistic regression analyses indicated that disease severity and preventability did not influence agreement that genetic information should be shared with family members, interest in being tested for the disorder, or agreement that physicians should share genetic information without permission. Those who read about the disorder as preventable were more likely to agree that their family members should be tested for the disorder (odds ratio [OR] = 1.82, p < 0.05). Females, African Americans, and those of other races were more likely to agree that they would want their family members tested for hemocythemia than males or European Americans (p < 0.05). Describing the disorder as preventable minimized the effect of the severity manipulation on perception of disease severity (p < 0.05). Understanding a disorder to be preventable may increase encouragement of family members to be tested and affect perceived seriousness of the condition.

Adult↗

Risks associated with genetic testing: health insurance discrimination or simply business as usual?

Doctors can test patients for mutations that put them at high risk for hereditary forms of such diseases as breast and ovarian cancer. Even though the opportunities for disease prevention using genetic testing will increase with time, the risks of testing, which include insurance loss and employment discrimination, currently make testing problematic. Some have proposed making use of genetic information in health insurance underwriting illegal. But in the current system of risk-based underwriting, it is hard to imagine that insurance companies will willingly forego access to a growing body of information on risk. If the American public chooses to limit the use of genetic information, a reassessment of current laws or methods of paying for health care will be needed.

Adult↗

Ethical issues in genetic testing for Alzheimer's disease: lessons from Huntington's disease.

This article discusses an ethics research project in predictive testing for Huntington's disease (HD) and the relevance of the findings for genetic testing for Alzheimer's disease (AD). Participants were videotaped during their pre- and posttest counseling sessions, as well as when the results were given. Half of these were then interviewed in their homes. Changes that accompanied the receipt of decreased risk suggested that counseling as well as the genetic information led the participants through a rite of passage. The most significant changes seemed to be in relation to other family members. Application to persons at risk for AD needs to be qualified, since persons at risk for AD will not usually have as well developed a sense of "family risk," and are less likely to receive as definite a reduced risk. In diagnostic testing for AD, a substitute decision-maker will often be involved. An unavoidable result is that some of the related substitute decision-makers will receive results which may have, or be mistaken to have, predictive value. Substitute decision-makers must therefore be included in genetic counseling, and the psychosocial effects of their participation must be evaluated.

Adaptation, Psychological↗

The educational needs and professional roles of Canadian physicians and nurses regarding genetic testing and adult onset hereditary disease.

OBJECTIVE: To investigate the knowledge, professional involvement and confidence of Canadian nurses and physicians in providing genetic services for adult onset hereditary disease. METHODS: 1,425 physicians and 1,425 nurses received a mailed questionnaire with reminders. The response rates were 50% (n = 543) and 79% (n = 975), respectively. RESULTS: Forty-eight percent of physicians and 31% of nurses lacked formal education in genetics. Respondents reported being involved in caring for people at risk for adult onset hereditary disease. Their levels of confidence that they could perform tasks, such as counselling about predictive genetic tests, however, were lower than their levels of expectation that it would be important for them to provide these services. CONCLUSIONS: The expected roles and educational needs of Canadian nurses and physicians have broad areas of overlap suggesting the possibility of combined professional education programs and multiple ways of organizing teams to provide genetic services to people at risk for adult onset hereditary disease.

Age Factors↗

Epileptogenic brain malformations: clinical presentation, malformative patterns and indications for genetic testing.

We review here those malformations of the cerebral cortex which are most often observed in epilepsy patients, for which a genetic basis has been elucidated or is suspected and give indications for genetic testing. There are three forms of lissencephaly (agyria-pachygyria) resulting from mutations of known genes, which can be distinguished because of their distinctive imaging features. They account for about 85% of all lissencephalies. Lissencephaly with posteriorly predominant gyral abnormality is caused by mutations of the LIS1 gene on chromosome 17. Anteriorly predominant lissencephaly in hemizygous males and subcortical band heterotopia (SBH) in heterozygous females are caused by mutations of the XLIS(or DCX) gene. Mutations of the coding region of XLIS were found in all reported pedigrees, and in most sporadic female patients with SBH. Missense mutations of both LIS1 and XLIS genes have been observed in some of the rare male patients with SBH. Autosomal recessive lissencephaly with cerebellar hypoplasia has been associated with mutations of the reelin gene. With few exceptions, children with lissencephaly have severe developmental delay and infantile spasms early in life. Patients with SBH have a mild to severe mental retardation with epilepsy of variable severity and type. X-linked bilateral periventricular nodular heterotopia (BPNH) consists of typical BPNH with focal epilepsy in females and prenatal lethality in males. About 88% of patients have focal epilepsy. Filamin A (FLNA) mutations have been reported in some families and in sporadic patients. Additional, possibly autosomal recessive gene(s) are likely to be involved in causing BPNH non-linked to FLN1. Tuberous sclerosis (TS) is a dominant disorder caused by mutations in at lest two genes, TSC1 and TSC2. 75% of cases are sporadic. Most patients with TS have epilepsy. Infantile spasms are a frequent early manifestation of TS. Schizencephaly (cleft brain) has a wide anatomo-clinical spectrum, including focal epilepsy in most patients. Familial occurrence is rare. Heterozygous mutations in the EMX2 gene have been reported in some patients. However, at present, there is no clear indication on the possible pattern of inheritance and on the practical usefulness that mutation detection in an individual with schizencephaly would carry in terms of genetic counselling. Amongst several syndromes featuring polymicrogyria, bilateral perisylvian polymicrogyria had familial occurrence on several occasions. Genetic heterogeneity is likely, including autosomal recessive, X-linked dominant, X-linked recessive inheritance and association to 22q11.2 deletions. FISH analysis for 22q11.2 is advisable in all patients with perisylvian polymicrogyria. Parents of an affected child with normal karyotype should be given up to a 25% recurrence risk.

1-Alkyl-2-acetylglycerophosphocholine Esterase↗

Accurate identification of abnormal ploidy using an artificial intelligence model in preimplantation genetic testing.

STUDY QUESTION: Can ultra-low-coverage whole-genome sequencing (ulc-WGS) accurately identify abnormal ploidy during preimplantation genetic testing (PGT)? SUMMARY ANSWER: The artificial intelligence (AI)-based PGT-Plus model demonstrates high accuracy in ploidy detection, offering a cost-effective solution that enhances clinical utility of PGT. WHAT IS KNOWN ALREADY: The predominant PGT for aneuploidy can identify chromosomal aneuploidies but cannot determine ploidy status. Transferring embryos with ploidy abnormalities can result in miscarriage and molar pregnancy. On the other hand, in ART, fertilization is assessed by morphological pronuclear assessment at the zygote stage. However, it has a low specificity in the prediction of abnormal ploidy status and embryos deemed abnormally fertilized can yield healthy pregnancies. Accurately identified abnormal ploidy in PGT-A can resolve current limitations and expand the utility range of PGT-A. Several studies have identified ploidy abnormalities; however, they were mainly based on single-nucleotide polymorphism (SNP) arrays or needed to combine additional targeted-next-generation sequencing (NGS) information. Studies based on ulc-WGS remain scarce. STUDY DESIGN SIZE DURATION: The study consisted of two stages: methodology establishment and validation. An AI model, named PGT-Plus, was developed using 653 samples with known ploidy status, which was further validated using 792 different ploidy status samples. In the clinical application stage, the approach was used to analyse the ploidy status of 19&#x2009;103 normally fertilized PGT blastocysts and 140 single pronucleus (1PN)-derived blastocysts collected between May 2022 and December 2023. All blastocysts were tested using trophectoderm biopsy and NGS. PARTICIPANTS/MATERIALS SETTING METHODS: The methodology is based on the ulc-WGS data. First, based on samples with known ploidy status: the heterozygosity rate of high-frequency biallelic SNPs, the likelihood ratio (LLR) of alleles was calculated under different assumptions ('both parental homologs' [BPH] from a single parent, 'single parental homolog' [SPH] from each parent, disomy, and monosomy) by leveraging allele frequencies and linkage disequilibrium (LD) measured in the 1000 genomes project database. Twenty-three continuous candidate features derived from heterozygosity rates and LLRs of chromosomes or selected windows were included to establish the ploidy prediction AI model. Gini importance analysis and multicollinearity mitigation was performed for feature selection, then the performance of Random Forest (RF), Support Vector Machine (SVM), and Logistic Regression for modelling was compared. Subsequently, the parameter optimization was performed based on the RF model. Ploidy constitution concordance was evaluated in known ploidy status samples. The frequency of abnormal ploidy in normal fertilized PGT blastocysts and 1PN-derived blastocysts (including conventional IVF and ICSI) was evaluated. MAIN RESULTS AND THE ROLE OF CHANCE: Eleven features were collected for model architecture compared to SVM and Logistic Regression; RF achieved superior performance for ploidy detection. The AI model achieved an AUC of 1 for genome-wide-uniparental diploidy (GW-UPD), 1 for triploidy, and 0.99 for diploidy. For the 792 validation samples, 99.5% of samples were successfully detected using the AI model, and the model showed 100% accuracy for ploidy classification. In the clinical application stage, out of 19&#x2009;103 PGT samples, 19&#x2009;069 were successfully analysed using the model, with 110 (0.57%) identified as having abnormal ploidy embryos. Among these, 12.7% (14/110) were identified as GW-UPD, and 87.3% (96/110) were triploid. Among 5563 diploid blastocysts transferred, 3478 clinical pregnancies were achieved. Subsequent ploidy analysis was performed for 217 spontaneous abortion and 935 prenatal diagnostic samples, and no abnormal ploidy was identified. Furthermore, of the 140 1PN embryos tested, 40 (28.6%) exhibited GW-UPD, 3 (2.1%) exhibited triploidy, and 97 (69.3%) were determined to be biparental and normally fertilized. Among the 97 biparental embryos, 46 were diploid, 11 were mosaic, and 40 were aneuploid. In terms of the insemination pattern, the percentage of abnormal ploidy in ICSI was significantly higher than in conventional IVF (P&#x2009;<&#x2009;0.01, 37.1% vs. 2.9%, respectively). With full informed consent, 20 patients without euploidy from normal fertilization chose 1PN-derived biparental and diploid blastocysts to transfer, resulting in 10 clinical pregnancies and 9 ongoing pregnancies. LARGE-SCALE DATA: N/A. LIMITATIONS REASONS FOR CAUTION: Some rare ploidy abnormalities, such as polyploidy with an equal number of identical sets of chromosomes and ploidy mosaicism cannot be accurately identified. Moreover, the origin of abnormal ploidy was not identified due to the unavailability of DNA from both parents. WIDER IMPLICATIONS OF THE FINDINGS: The PGT-Plus AI model provides a ploidy evaluation method based on the conventional PGT-A data and integrates directly into standard PGT-A workflows. Clinical utility results suggest that the model is a valuable tool for identifying embryos with abnormal ploidy in PGT-A and rescuing normal diploid embryos from abnormally fertilized embryos. These findings demonstrate that PGT-Plus significantly enhances the diagnostic accuracy of PGT. STUDY FUNDING/COMPETING INTERESTS: This study was supported by grants from Major Scientific Program of CITIC Group (No. 2023ZXKYB34100, to Ge.L.), Hunan Provincial Grant for Innovative Province Construction (2019SK4012), Hunan Xiangjiang New District (Changsha High-tech Zone) key core technology research project in 2023, and Science Foundation of Hunan Province (Grant 2023JJ30422). All authors declared no conflicts of interest..

artificial intelligence↗