Publications by authors named "Laurel K Willig"

Article Synopsis
  • The study focused on improving diagnosis and understanding of genetic disorders in children through the Genomic Answers for Kids program by analyzing genetic information from 960 families.
  • Researchers utilized various sequencing methods, including short-read and long-read genome sequencing, alongside machine learning to prioritize genetic variants and stored the data in a structured database for future access.
  • The results showed varying diagnostic success rates, with new diagnostic information gained from structural variants and long-read sequencing, highlighting ongoing challenges in identifying variants of unknown significance in nondiagnostic cases.
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Differences of sex development (DSDs) are a constellation of conditions that result in genital ambiguity or complete sex reversal. Although determining the underlying genetic variants can affect clinical management, fewer than half of undermasculinized males ever receive molecular diagnoses. Next-generation sequencing (NGS) technology has improved diagnostic capabilities in several other diseases, and a few small studies suggest that it may improve molecular diagnostic capabilities in DSDs.

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Background: Outcome data for infants on chronic peritoneal dialysis (CPD) is limited and has been based primarily on the analyses of voluntary entry registry data. In contrast, the United States Renal Data Systems (USRDS) collects data on all infants with end-stage kidney disease (ESKD) on chronic dialysis in the USA. We aimed to describe the clinical characteristics of this population and to determine the associated patient mortality.

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Genetic disorders are a leading cause of morbidity and mortality in infants in neonatal and pediatric intensive care units (NICU/PICU). While genomic sequencing is useful for genetic disease diagnosis, results are usually reported too late to guide inpatient management. We performed an investigator-initiated, partially blinded, pragmatic, randomized, controlled trial to test the hypothesis that rapid whole-genome sequencing (rWGS) increased the proportion of NICU/PICU infants receiving a genetic diagnosis within 28 days.

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Inherited renal disease is a leading cause of morbidity and mortality in pediatric nephrology. High throughput advancements in genomics have led to greater understanding of the biologic underpinnings of these diseases. However, the underlying genetic changes explain only part of the molecular biology that contributes to disease manifestation and progression.

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Optimal management of acutely ill infants with monogenetic diseases requires rapid identification of causative haplotypes. Whole-genome sequencing (WGS) has been shown to identify pathogenic nucleotide variants in such infants. Deletion structural variants (DSVs, >50 nt) are implicated in many genetic diseases, and tools have been designed to identify DSVs using short-read WGS.

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An important component of precision medicine-the use of whole-genome sequencing (WGS) to guide lifelong healthcare-is electronic decision support to inform drug choice and dosing. To achieve this, automated identification of genetic variation in genes involved in drug absorption, distribution, metabolism, excretion and response (ADMER) is required. is a major enzyme for drug bioactivation and elimination.

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As the ability to identify the contribution of genetic background to human disease continues to advance, there is no discipline of medicine in which this may have a larger impact than in the care of the ill neonate. Newborns with congenital malformations, syndromic conditions, and inherited disorders often undergo an extensive, expensive, and long diagnostic process, often without a final diagnosis resulting in significant health care, societal, and personal costs. Although ethical concerns have been raised about the use of whole-genome sequencing in medical practice, its role in the diagnosis of rare disorders in ill neonates in tertiary care neonatal intensive care units has the potential to augment or modify the care of this vulnerable population of patients.

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Traditionally, genetic testing has been too slow or perceived to be impractical to initial management of the critically ill neonate. Technological advances have led to the ability to sequence and interpret the entire genome of a neonate in as little as 26 h. As the cost and speed of testing decreases, the utility of whole genome sequencing (WGS) of neonates for acute and latent genetic illness increases.

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While the cost of whole genome sequencing (WGS) is approaching the realm of routine medical tests, it remains too tardy to help guide the management of many acute medical conditions. Rapid WGS is imperative in light of growing evidence of its utility in acute care, such as in diagnosis of genetic diseases in very ill infants, and genotype-guided choice of chemotherapy at cancer relapse. In such situations, delayed, empiric, or phenotype-based clinical decisions may meet with substantial morbidity or mortality.

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Today there exist two medical applications where relatively strong evidence exists to support the broad adoption of genome-informed precision medicine. These are the differential diagnosis of single gene diseases and genotype-based selection of patients for targeted cancer therapies. However, despite the availability of the $1000 genome and $700 exome for research, there is as yet little broad uptake of genomic medicine, even in these applications.

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A systems biology approach was used to comprehensively examine the impact of renal disease and hemodialysis (HD) on patient response during critical illness. To achieve this, we examined the metabolome, proteome, and transcriptome of 150 patients with critical illness, stratified by renal function. Quantification of plasma metabolites indicated greater change as renal function declined, with the greatest derangements in patients receiving chronic HD.

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Background: Genetic disorders and congenital anomalies are the leading causes of infant mortality. Diagnosis of most genetic diseases in neonatal and paediatric intensive care units (NICU and PICU) is not sufficiently timely to guide acute clinical management. We used rapid whole-genome sequencing (STATseq) in a level 4 NICU and PICU to assess the rate and types of molecular diagnoses, and the prevalence, types, and effect of diagnoses that are likely to change medical management in critically ill infants.

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Neurodevelopmental disorders (NDDs) affect more than 3% of children and are attributable to single-gene mutations at more than 1000 loci. Traditional methods yield molecular diagnoses in less than one-half of children with NDD. Whole-genome sequencing (WGS) and whole-exome sequencing (WES) can enable diagnosis of NDD, but their clinical and cost-effectiveness are unknown.

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