This article uses data from the United States, Jamaica, Malaysia, and Bangladesh to explore gender differences in adult health. The results show that women fare worse than men across a variety of self-reported health measures in all four countries studies. These health status disparities between men and women persist even after appropriate corrections are made for the impact of (a) differential mortality selection by gender and (b) sociodemographic factors. Data from Jamaica indicate that gender disparities in adult health arise early and persist throughout the life cycle, with different age profiles for different measures.
The incomplete identification of structural variants (SVs) from whole-genome sequencing data limits studies of human genetic diversity and disease association. Here, we apply a suite of long-read, short-read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner. We identify 818,054 indel variants (<50 bp) and 27,622 SVs (≥50 bp) per genome. We also discover 156 inversions per genome and 58 of the inversions intersect with the critical regions of recurrent microdeletion and microduplication syndromes. Taken together, our SV callsets represent a three to sevenfold increase in SV detection compared to most standard high-throughput sequencing studies, including those from the 1000 Genomes Project. The methods and the dataset presented serve as a gold standard for the scientific community allowing us to make recommendations for maximizing structural variation sensitivity for future genome sequencing studies.