Publications by authors named "Kenny Ee"

Purpose: Telehealth genetic counseling is comparable to in-person visits in terms of satisfaction, knowledge, and psychological outcomes, but using visual aids can be challenging on telehealth platforms. This pilot study assessed if the "screen-sharing" feature via Zoom to display visual aids during results disclosure session positively impacted parental experience and comprehension of their child's genomic results especially in underrepresented groups and those with limited English proficiency.

Methods: In the TeleKidSeq pilot study, 409 children with suspected genetic conditions underwent genome sequencing.

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Mosaic loss of Y (mLOY) is the most common somatic chromosomal alteration detected in human blood. The presence of mLOY is associated with altered blood cell counts and increased risk of Alzheimer disease, solid tumors, and other age-related diseases. We sought to gain a better understanding of genetic drivers and associated phenotypes of mLOY through analyses of whole-genome sequencing (WGS) of a large set of genetically diverse males from the Trans-Omics for Precision Medicine (TOPMed) program.

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Purpose: Previous studies have established "red flags" that raise clinical suspicion for the hereditary form of transthyretin amyloidosis (ATTRv). However, these have not been specifically evaluated for the most common associated variant, TTR p.(Val142Ile).

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  • Biobank-scale studies often overlook Hispanic/Latino(a) and African American populations, which hinders the understanding of disease-related genetic factors in these groups.
  • The analysis of data from a New York City biobank reveals that phenome-wide admixture mapping (AM) identified 77 significant genetic signals, 48 of which were missed by genome-wide association studies (GWAS), indicating that the two methods complement each other.
  • The study shows that AM can uncover novel genetic associations in underrepresented populations, particularly for variants that traditional GWAS might miss.
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  • The study highlights how underrepresentation in clinical genomics research diminishes the relevance of findings and benefits, particularly emphasizing the importance of diverse participant inclusion.
  • Researchers implemented patient-centered, data-driven strategies, such as using relatable and flexible recruitment methods, to ensure a diverse sample of parents and children in a pediatric genome sequencing study.
  • As a result, a high percentage of eligible participants agreed to enroll (93.5% acceptance) and the majority of those who enrolled completed the study, demonstrating the effectiveness of engaging with underrepresented communities.
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  • Polygenic risk scores (PRSs) could enhance disease risk prediction, but their current effectiveness is compromised for non-European populations, creating potential health disparities.
  • The PRIMED Consortium aims to improve PRS performance by aggregating diverse genetic data on a cloud platform and evaluating ethical implications related to its implementation.
  • Focused on cardiometabolic diseases and cancer, PRIMED seeks to promote equity in polygenic risk assessment through collaboration across multiple research sites and organizations.
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  • Latin Americans are often overlooked in genetic studies, which can widen gaps in personalized medicine due to the challenges of accessing genetic data and consent processes.
  • The Genetics of Latin American Diversity (GLAD) Project compiles genetic information from over 53,000 individuals across various regions to explore diverse ancestry and gene flow in the Americas.
  • GLAD includes a tool called GLAD-match to align external genetic samples with its database while protecting individual privacy, thus supporting more inclusive genomic research and enhancing personalized medicine for Latin Americans.
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  • Whole genome sequencing (WGS) helps identify rare genetic variants that may explain the missing heritability of coronary artery disease (CAD) by analyzing 4,949 cases and 17,494 controls from the NHLBI TOPMed program.
  • The study estimates that the heritability of CAD is around 34.3%, with ultra-rare variants contributing about 50%, especially those with low linkage disequilibrium.
  • Functional annotations show significant enrichment of CAD heritability, highlighting the importance of ultra-rare variants and specific regulatory mechanisms in different cells as major factors influencing genetic risk for the disease.
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  • Clonal hematopoiesis (CH) occurs when genetically identical blood cells expand, often influenced by genetic mutations linked to blood cancers; however, many cases happen without known driver mutations.
  • Researchers analyzed 51,399 genomes to study a specific type of CH (CH-LPMneg) without detectable leukemia-related mutations, developing a new method (GEM rate) to estimate mutation burden without paired samples.
  • Through their study, they identified seven genes linked to CH-LPMneg and found that alterations in hematopoietic stem cell (HSC) behavior may drive this mutation burden, while a broader analysis revealed relationships between GEM and the expression of 404 genes.
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There is increasing evidence of the clinical utility of genetic and genomic testing (GT); however, factors influencing personal utility of GT, especially in diverse, multilingual populations, remain unclear. We explored these factors in a diverse cohort of parents/guardians (participants) whose children received clinical GT through the NYCKidSeq program. A total of 847 participants completed surveys at baseline, post-results disclosure, and 6 months (6m) post-results.

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Clonal hematopoiesis of indeterminate potential (CHIP), whereby somatic mutations in hematopoietic stem cells confer a selective advantage and drive clonal expansion, not only correlates with age but also confers increased risk of morbidity and mortality. Here, we leverage genetically predicted traits to identify factors that determine CHIP clonal expansion rate. We used the passenger-approximated clonal expansion rate method to quantify the clonal expansion rate for 4,370 individuals in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) cohort and calculated polygenic risk scores for DNA methylation aging, inflammation-related measures and circulating protein levels.

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  • Genome-wide association studies (GWAS) have successfully identified genes linked to telomere length, but previous research hadn't validated these findings until now.
  • In a large analysis involving over 211,000 people, the study discovered five new signals linked to telomere length and highlighted the importance of blood/immune cells in this area.
  • The researchers confirmed that the genes KBTBD6 and POP5 truly affect telomere length by demonstrating that manipulating these genes can lengthen telomeres and that their regulation is crucial for understanding telomere biology.
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Purpose: To examine associations between Pediatric Quality of Life Inventory (PedsQL) 4.0 Generic Core Scales and PedsQL Infant Scales with formal health care resource utilization (HCRU) and informal caregiver burden.

Methods: We studied a pediatric cohort of 837 patients (median age: 8.

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Mosaic loss of Y (mLOY) is the most common somatic chromosomal alteration detected in human blood. The presence of mLOY is associated with altered blood cell counts and increased risk of Alzheimer's disease, solid tumors, and other age-related diseases. We sought to gain a better understanding of genetic drivers and associated phenotypes of mLOY through analyses of whole genome sequencing of a large set of genetically diverse males from the Trans-Omics for Precision Medicine (TOPMed) program.

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The differential performance of polygenic risk scores (PRSs) by group is one of the major ethical barriers to their clinical use. It is also one of the main practical challenges for any implementation effort. The social repercussions of how people are grouped in PRS research must be considered in communications with research participants, including return of results.

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  • The Human Genome Project laid the groundwork for genetic research but initially struggled with representing human genetic diversity.
  • Recent breakthroughs, namely complete gap-free genomes from the Telomere-to-Telomere Consortium and high-quality pangenomes from the Human Pangenome Reference Consortium, have addressed these issues.
  • These advancements, driven by improved DNA sequencing technology, not only provide clearer genome mapping but also enhance our understanding of genetic diversity, leading to better applications in precision medicine and human biology.
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Polygenic risk scores (PRSs) are now showing promising predictive performance on a wide variety of complex traits and diseases, but there exists a substantial performance gap across populations. We propose MUSSEL, a method for ancestry-specific polygenic prediction that borrows information in summary statistics from genome-wide association studies (GWASs) across multiple ancestry groups via Bayesian hierarchical modeling and ensemble learning. In our simulation studies and data analyses across four distinct studies, totaling 5.

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Polygenic risk scores (PRSs) have improved in predictive performance, but several challenges remain to be addressed before PRSs can be implemented in the clinic, including reduced predictive performance of PRSs in diverse populations, and the interpretation and communication of genetic results to both providers and patients. To address these challenges, the National Human Genome Research Institute-funded Electronic Medical Records and Genomics (eMERGE) Network has developed a framework and pipeline for return of a PRS-based genome-informed risk assessment to 25,000 diverse adults and children as part of a clinical study. From an initial list of 23 conditions, ten were selected for implementation based on PRS performance, medical actionability and potential clinical utility, including cardiometabolic diseases and cancer.

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  • The study focuses on apparent treatment-resistant hypertension (aTRH), defined by the need for four or more antihypertensive medications to control blood pressure in individuals.
  • Researchers analyzed genetic data from 12 cohorts using whole-genome sequencing, comparing aTRH cases to normotensive controls and treatment-responsive patients.
  • A significant genetic variant linked to hypertension was identified, and further validation of these results in larger and more diverse populations is necessary to understand its potential role in aTRH.
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African Americans have a significantly higher risk of developing chronic kidney disease, especially focal segmental glomerulosclerosis -, than European Americans. Two coding variants (G1 and G2) in the APOL1 gene play a major role in this disparity. While 13% of African Americans carry the high-risk recessive genotypes, only a fraction of these individuals develops FSGS or kidney failure, indicating the involvement of additional disease modifiers.

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Digital solutions are needed to support rapid increases in the application of genetic/genomic tests (GTs) in diverse clinical settings and patient populations. We developed GUÍA, a bilingual digital application that facilitates disclosure of GT results. The NYCKidSeq randomized controlled trial enrolled diverse children with neurologic, cardiac, and immunologic conditions who underwent GTs.

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Purpose: To better understand the effects of returning diagnostic sequencing results on clinical actions and economic outcomes for pediatric patients with suspected genetic disorders.

Methods: Longitudinal physician claims data after diagnostic sequencing were obtained for patients aged 0 to 21 years with neurologic, cardiac, and immunologic disorders with suspected genetic etiology. We assessed specialist consultation rates prompted by primary diagnostic results, as well as marginal effects on overall 18-month physician services and costs.

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  • The study introduces HAMSTA, a new method for estimating heritability in mixed populations while correcting for biases caused by population structure.
  • Through simulations, HAMSTA demonstrates more accurate and unbiased heritability estimates compared to existing methods, especially in cases of ancestral stratification.
  • The application of HAMSTA to data from African American individuals revealed minimal bias in admixture mapping, indicating its effectiveness for evaluating heritability across multiple traits.
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A wide range of research uses patterns of genetic variation to infer genetic similarity between individuals, typically referred to as genetic ancestry. This research includes inference of human demographic history, understanding the genetic architecture of traits, and predicting disease risk. Researchers are not just structuring an intellectual inquiry when using genetic ancestry, they are also creating analytical frameworks with broader societal ramifications.

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Inadequate representation of non-European ancestry populations in genome-wide association studies (GWAS) has limited opportunities to isolate functional variants. Fine-mapping in multi-ancestry populations should improve the efficiency of prioritizing variants for functional interrogation. To evaluate this hypothesis, we leveraged ancestry architecture to perform comparative GWAS and fine-mapping of obesity-related phenotypes in European ancestry populations from the UK Biobank (UKBB) and multi-ancestry samples from the Population Architecture for Genetic Epidemiology (PAGE) consortium with comparable sample sizes.

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