Identification of Genomic Regions and Candidate Genes for Litter Traits in French Large White Pigs Using Genome-Wide Association Studies.

The reproductive traits of sows are one of the important economic traits in pig production, and their performance directly affects the economic benefits of the entire pig industry. In this study, a total of 895 French Large White pigs were genotyped by GeneSeek Porcine 50K SNP Beadchip and four phenotypic traits of 1407 pigs were recorded, including total number born (TNB), number born alive (NBA), number healthy piglets (NHP) and litter weight born alive (LWB). To identify genomic regions and genes for these traits, we used two approaches: a single-locus genome-wide association study (GWAS) and a single-step GWAS (ssGWAS). Overall, a total of five SNPs and 36 genomic regions were identified by single-locus GWAS and ssGWAS, respectively. Notably, fourof all five significant SNPs were located in 10.72-11.06 Mb on chromosome 7, were also identified by ssGWAS. These regions explained the highest or second highest genetic variance in the TNB, NBA and NHP traits and harbor the protein coding gene ENSSSCG00000042180. In addition, several candidate genes associated with litter traits were identified, including JARID2, PDIA6, FLRT2 and DICER1. Overall, these novel results reflect the polygenic genetic architecture of the litter traits and provide a theoretical reference for the following implementation of molecular breeding.

Medical resource preparation and allocation for humanitarian assistance based on module organization.

BACKGROUND: This research aims to associate the allocation of medical resources with the function of the modular organization and the possible needs for humanitarian assistance missions. METHODS: The overseas humanitarian medical assistance mission, which was sent after a disaster on the hospital ship Peace Ark, part of China's People's Liberation Army (PLA) Navy, was considered as study model. The cases used for clustering and matching sample formation were randomly selected from the existing information related to Peace Ark's mission. RESULTS: Categories of the reusable resources clustered by this research met the requirement of the actual consumption almost completely (more than 95%) and the categories of non-reusable resources met the requirement by more than 80%. In the mission's original resource preparing plan, more than 30% of the non-reusable resource categories remained unused during the mission. In the original resource preparing plan, some key non-reusable resources inventories were completely exhausted at the end of the mission, while 5% to 30% of non-reusable resources remained in the resource allocation plan generated by this research at the end of the mission. CONCLUSIONS: The medical resource allocation plan generated here can enhance the supporting level for the humanitarian assistance mission. This research could lay the foundation for an assistant decision-making system for humanitarian assistance mission.

Chronotype and a PERIOD3 variable number tandem repeat polymorphism in Han Chinese pilots.

An association has been determined between variable number tandem-repeat (VNTR) polymorphisms in the PERIOD3 gene (PER3, rs57875989) and chronotype. An association has been found in which the longer PER3(5) allele is correlated with diurnal preference and shorter PER3(4) allele is linked with preference for evening, respectively. In this study, we explored the genotype frequency and relationship to the chronotype of a PER3 VNTR polymorphism in Han Chinese pilots compared to other populations to further develop aviation safety research. DNA samples were genotyped with respect to the 4-repeat and 5-repeat alleles of the PER3 VNTR polymorphism. We compared and analyzed PER3 VNTR genotype frequencies of a general Han Chinese population and Han Chinese pilots. The chronotypes of our subjects were evaluated by the morningness-eveningness questionnaire (MEQ). The distribution of PER3 VNTR genotype frequencies from 240 Han Chinese was determined (PER3(4/4), 78.3%; PER3(4/5), 20.0%; PER3(5/5), 1.7%) and compared to the genotype frequencies of 126 Han Chinese pilots (PER3(4/4), 71.4%; PER3(4/5), 26.1%; PER3(5/5), 2.4%). Statistical analysis revealed no significant difference between the general Han Chinese population and Han Chinese pilots regarding the PER3 VNTR genotype and allele frequencies (x(2) = 2.170, p > 0.05). Furthermore, MEQ results showed no association between the PER3 VTNR polymorphism and chronotype. However, PER3 VNTR genotype frequencies differed significantly between Han Chinese and other ethnic groups previously reported, such as Caucasians, African Americans and Italians. These data indicate that the proposed role of the PER3 VNTR needs further clarification and the role of PER3(5) allele in sleep regulation needs to be investigated in more detail. In particular, a study of PER3 polymorphisms with a larger sample size of Han Chinese individuals and Han Chinese pilots may be required.