Cutting-Edge Articles in Medical and Molecular Genetics

16 June 2020
16 June 2020

Since the publication of the human genome sequence in 2003, the significance of the contribution of genetic variation to a myriad of human diseases has become apparent. The advancement of sequencing technologies has drastically increased their accessibility and decreased their cost, enabling the identification of not only large disease-causing genomic rearrangements but also a plethora of small insertions or deletions and single-nucleotide variants, the accumulation of which may be associated with everything from monogenic disease traits to the increased risk of disease development. Indeed, in the two decades that have passed since the start of the Human Genome Project, it has become clear that the genetic component of disease is highly complex, involving genomic variation, post-translational modifications, and a variety of regulatory elements. Consequently, human genetics research has become fundamental for the understanding of the human disease state and advancement of medical testing, diagnosis, and treatment.

In this Special Collection, we present the most highly cited and downloaded articles published in 2019 from the Wiley journals American Journal of Medical Genetics Parts A, B (Neuropsychiatric Genetics), and C (Seminars in Medical Genetics), Annals of Human Genetics, Birth Defects Research, Genetic Epidemiology, Human Mutation, and Molecular Genetics & Genomic Medicine. These articles will give you a cutting-edge overview of the most impactful research findings into the genetic components underlying many diseases, the development of novel diagnostic methods, and hypotheses that await testing. We hope you enjoy reading these insightful articles that represent a hopeful future for the many affected by genetic disease. Consider submitting your own research to these respected journals.

RESEARCH ARTICLE
Full Access

Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis

Variable population prevalence estimates of germline TP53 variants: A gnomAD-based analysis

gnomAD-based analysis suggests that the population prevalence of pathogenic and likely pathogenic germline TP53 variants range from 1 carrier in 400 to 5,500 individuals due to differences in variant classification. These estimates may not necessarily reflect the prevalence of Li-Fraumeni syndrome (LFS), which is based upon family history of cancer. We encourage comprehensive approaches to better understand the interplay of germline TP53 variant classification, prevalence estimates, cancer penetrance, and LFS-associated phenotypes.

RESEARCH ARTICLE
Full Access

SLC35A2-CDG: Functional characterization, expanded molecular, clinical, and biochemical phenotypes of 30 unreported Individuals

METHOD
Open Access

Evaluation of the detection of GBA missense mutations and other variants using the Oxford Nanopore MinION

Evaluation of the detection of GBA missense mutations and other variants using the Oxford Nanopore MinION

The GBA gene is important in Parkinson's and Gaucher disease, but difficult to sequence due to a highly homologous adjacent pseudogene. Here we present a novel method using long reads on the Oxford Nanopore MinION, which can detect missense mutations and an exonic deletion, with the added advantage of phasing and intronic analysis.

ORIGINAL ARTICLE
Open Access

Identification of genes associated with cancer progression and prognosis in lung adenocarcinoma: Analyses based on microarray from Oncomine and The Cancer Genome Atlas databases

Identification of genes associated with cancer progression and prognosis in lung adenocarcinoma: Analyses based on microarray from Oncomine and The Cancer Genome Atlas databases

Oncomine and The Cancer Genome Atlas (TCGA) database were useful tools in identification of dysregulated genes in cancers. Twenty consistently and stably dysregulated genes in lung adenocarcinoma (LUAD) were identified based on four microarrays from Oncomine database. AGER and CCNB1 expression were further explored to be associated with survival in LUAD based on TCGA database.