Publications by authors named "P Lind"

Genetic research on nicotine dependence has utilized multiple assessments that are in weak agreement. We conducted a genome-wide association study of nicotine dependence defined using the Diagnostic and Statistical Manual of Mental Disorders (DSM-NicDep) in 61,861 individuals (47,884 of European ancestry, 10,231 of African ancestry, 3,746 of East Asian ancestry) and compared the results to other nicotine-related phenotypes. We replicated the well-known association at the locus (lead SNP: rs147144681, p =1.

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Mutation rate varies within and between genomes. Within genomes, tracts of nucleotides, including short sequence repeats and palindromes, can cause localised elevation of mutation rate. Additional mechanisms remain poorly understood.

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Bipolar disorder is a leading contributor to the global burden of disease. Despite high heritability (60-80%), the majority of the underlying genetic determinants remain unknown. We analysed data from participants of European, East Asian, African American and Latino ancestries (n = 158,036 cases with bipolar disorder, 2.

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Multicellularity spans a wide gamut in terms of complexity, from simple clonal clusters of cells to large-scale organisms composed of differentiated cells and tissues. While recent experiments have demonstrated that simple forms of multicellularity can readily evolve in response to different selective pressures, it is unknown if continued exposure to those same selective pressures will result in the evolution of increased multicellular complexity. We use mathematical models to consider the adaptive trajectories of unicellular organisms exposed to periodic bouts of abiotic stress, such as drought or antibiotics.

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Article Synopsis
  • To improve evolutionary forecasting, researchers must shift from studying single genotypes to developing broad principles for how similar species adapt under common selective pressures.
  • Evolve-and-resequence experiments across multiple species help test these predictions and understand why some forecasts fail, revealing insights about mutations and adaptations.
  • Findings indicate that while certain mutation patterns are consistent across species, differences in gene-level mutations and fitness can limit precise predictability, suggesting that conserved mutation hotspots facilitate parallel evolution.
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