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1.
HGG Adv ; 3(4): 100140, 2022 Oct 13.
Article in English | MEDLINE | ID: mdl-36212110

ABSTRACT

Over the past 5 years, human genetics and genomics research has placed a greater emphasis on increasing diversity among research participants and study researchers as a means of expanding the reach of human genetics and the knowledge accrued by it. Within this context, international collaborations between investigators in well-resourced research-funded countries (RFCs) and those in research-underfunded countries (RUCs) have flourished, with the goal of recruiting more geographically diverse participant pools. Past harms to communities engaged in genetics research have underscored the importance of bi-directional relational engagements, in which researchers and communities work together to ensure ethical research practices and participant involvement. Successful collaborations in the global genomics space, however, are often dependent upon RUC stakeholder investigators and physicians, whose needs are frequently either excluded from existing models of bi-directional community engagement or conflated with that of the study community. Here, we advocate for building more equitable international partnerships through the empowerment of RUC stakeholder investigators-a tri-directional engagement model-that includes supporting, building, and validating the efforts of RUC investigators through training, access, and authorship. We highlight existing initiatives that serve as exemplars in this effort and offer a framework for the broader genetics community to support equitable models of international research partnerships while being mindful of practical challenges. The core concepts embodied augment ongoing efforts to diversify the field of human genetics and complement the long-term goal of genetics for all.

2.
Prenat Diagn ; 40(9): 1047-1055, 2020 08.
Article in English | MEDLINE | ID: mdl-32468575

ABSTRACT

Every year nearly 6 percent of children worldwide are born with a serious congenital malformation, resulting in death or lifelong disability. In the United States, birth defects remain one of the leading causes of infant mortality. Among the common structural congenital defects are conditions known as neural tube defects (NTDs). These are a class of malformation of the brain and spinal cord where the neural tube fails to close during the neurulation. Although NTDs remain among the most pervasive and debilitating of all human developmental anomalies, there is insufficient understanding of their etiology. Previous studies have proposed that complex birth defects like NTDs are likely omnigenic, involving interconnected gene regulatory networks with associated signals throughout the genome. Advances in technologies have allowed researchers to more critically investigate regulatory gene networks in ever increasing detail, informing our understanding of the genetic basis of NTDs. Employing a systematic analysis of these complex birth defects using massively parallel DNA sequencing with stringent bioinformatic algorithms, it is possible to approach a greater level of understanding of the genomic architecture underlying NTDs. Herein, we present a brief overview of different approaches undertaken in our laboratory to dissect out the genetics of susceptibility to NTDs. This involves the use of mouse models to identify candidate genes, as well as large scale whole genome/whole exome (WGS/WES) studies to interrogate the genomic landscape of NTDs. The goal of this research is to elucidate the gene-environment interactions contributing to NTDs, thus encouraging global research efforts in their prevention.


Subject(s)
Genomics/methods , Neural Tube Defects/genetics , Animals , Anticonvulsants/adverse effects , Congenital Abnormalities/epidemiology , Congenital Abnormalities/etiology , Congenital Abnormalities/genetics , Disease Models, Animal , Female , Genomics/trends , Humans , Neural Tube/embryology , Neural Tube/metabolism , Neural Tube Defects/epidemiology , Neurulation/genetics , Pregnancy , Prenatal Exposure Delayed Effects/epidemiology , Prenatal Exposure Delayed Effects/genetics , Exome Sequencing
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