Background: A number of studies indicate that altered serotonergic transmission may be a risk factor for depression in the peripartum period. The aim of this study was to investigate whether genetic polymorphisms in the TPH2 gene, the gene product of which is the rate-limiting enzyme in the biosynthesis of serotonin in the central nervous system, are associated with depressive symptoms in pregnancy and the postpartum period.
Methods: In a cohort of 361 Caucasians, the severity of depression was assessed prospectively during pregnancy (third trimester) and the postpartum period (2-3 days and 6-8 months) using the Edinburgh Postnatal Depression Scale (EPDS). Tagging single nucleotide polymorphisms (SNPs) in TPH2 and SNPs that are known to be of functional relevance were genotyped. For each haplotype block or SNP, a multifactorial linear mixed model was performed to analyse the EPDS values over time.
Results: The haplotype block in the promoter region of TPH2 showed significant associations with depression values during pregnancy and 6-8 months afterwards. Additionally, a haplotype block in intron 8 had an influence on depression values during pregnancy, but not after birth. There was a significant interaction between time and haplotypes and the severity of depression. The effect of TPH2 haplotypes on EPDS values was strongest during pregnancy and 6 months after birth, with a low depression rating in the first few days after delivery for all women.
Conclusions: In this cohort, TPH2 haplotypes known to be of functional relevance were found to be associated with different EPDS values during and after pregnancy. These haplotypes were associated with depressive symptoms both before and after delivery and were thus not specific for postpartum-onset depression. This underlines the relevance of these functional polymorphisms for depression in general and the importance of longitudinal assessments in research on postpartum depression.
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http://dx.doi.org/10.1016/j.jpsychires.2012.05.011 | DOI Listing |
Mol Ecol Resour
January 2025
United States Department of Agriculture, Wildlife Services, National Wildlife Research Center, Fort Collins, Colorado, USA.
While a best practice for evaluating the behaviour of genetic clustering algorithms on empirical data is to conduct parallel analyses on simulated data, these types of simulation techniques often involve sampling genetic data with replacement. In this paper we demonstrate that sampling with replacement, especially with large marker sets, inflates the perceived statistical power to correctly assign individuals (or the alleles that they carry) back to source populations-a phenomenon we refer to as resampling-induced, spurious power inflation (RISPI). To address this issue, we present gscramble, a simulation approach in R for creating biologically informed individual genotypes from empirical data that: (1) samples alleles from populations without replacement and (2) segregates alleles based on species-specific recombination rates.
View Article and Find Full Text PDFPlants (Basel)
December 2024
Department of Crop Science, College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Republic of Korea.
(Kauffman and Gerdemann) is an oomycete pathogen that threatens soybean ( L.) production worldwide. The development of soybean cultivars with resistance to this pathogen is of paramount importance for the sustainable management of the disease.
View Article and Find Full Text PDFbioRxiv
December 2024
Gilbert S Omenn Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
Somatic mutations in individual cells lead to genomic mosaicism, contributing to the intricate regulatory landscape of genetic disorders and cancers. To evaluate and refine the detection of somatic mosaicism across different technologies with personalized donor-specific assembly (DSA), we obtained tissue from the dorsolateral prefrontal cortex (DLPFC) of a post-mortem neurotypical 31-year-old individual. We sequenced bulk DLPFC tissue using Oxford Nanopore Technologies (~60X), NovaSeq (~30X), and linked-read sequencing (~28X).
View Article and Find Full Text PDFTheor Appl Genet
December 2024
Key Laboratory of Germplasm Enhancement, Physiology and Ecology of Food Crops in Cold Region, Ministry of Education, Northeast Agricultural University, Harbin, 150030, China.
Integrated genome-wide association study and linkage mapping revealed genetic basis of alkalinity tolerance during rice germination. The key gene OsWRKY49 was further verified in transgenic plants. With the widespread use of the rice direct seeding cultivation model, improving the tolerance of rice varieties to salinity-alkalinity at the germination stage has become increasingly important.
View Article and Find Full Text PDFMol Breed
January 2025
Key Laboratory of Soybean Molecular Design Breeding, National Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102 China.
Unlabelled: Seed size is an economically important trait that directly determines the seed yield in soybean. In the current investigation, we used an integrated strategy of linkage mapping, association mapping, haplotype analysis and candidate gene analysis to determine the genetic makeup of four seed size-related traits viz., 100-seed weight (HSW), seed area (SA), seed length (SL), and seed width (SW) in soybean.
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