@article{VanHoutTachmazidouBackmanetal.2020,
  author    = {Van Hout, Cristopher V. and Tachmazidou, Ioanna and Backman, Joshua D. and Hoffman, Joshua D. and Liu, Daren and Pandey, Ashutosh K. and Gonzaga-Jauregui, Claudia and Khalid, Shareef and Ye, Bin and Banerjee, Nilanjana and Li, Alexander H. and O'Dushlaine, Colm and Marcketta, Anthony and Staples, Jeffrey and Schurmann, Claudia and Hawes, Alicia and Maxwell, Evan and Barnard, Leland and Lopez, Alexander and Penn, John and Habegger, Lukas and Blumenfeld, Andrew L. and Bai, Xiaodong and O'Keeffe, Sean and Yadav, Ashish and Praveen, Kavita and Jones, Marcus and Salerno, William J. and Chung, Wendy K. and Surakka, Ida and Willer, Cristen J. and Hveem, Kristian and Leader, Joseph B. and Carey, David J. and Ledbetter, David H. and Cardon, Lon and Yancopoulos, George D. and Economides, Aris and Coppola, Giovanni and Shuldiner, Alan R. and Balasubramanian, Suganthi and Cantor, Michael and Nelson, Matthew R. and Whittaker, John and Reid, Jeffrey G. and Marchini, Jonathan and Overton, John D. and Scott, Robert A. and Abecasis, Goncalo R. and Yerges-Armstrong, Laura M. and Baras, Aris},
  title     = {Exome sequencing and characterization of 49,960 individuals in the UK Biobank},
  series = {Nature : the international weekly journal of science},
  volume    = {586},
  journal   = {Nature : the international weekly journal of science},
  number    = {7831},
  publisher = {Macmillan Publishers Limited},
  address   = {London},
  organization    = {Regeneron Genetics Ctr},
  issn      = {0028-0836},
  doi       = {10.1038/s41586-020-2853-0},
  pages     = {749 -- 756},
  year      = {2020},
  abstract  = {The UK Biobank is a prospective study of 502,543 individuals, combining extensive phenotypic and genotypic data with streamlined access for researchers around the world(1). Here we describe the release of exome-sequence data for the first 49,960 study participants, revealing approximately 4 million coding variants (of which around 98.6\% have a frequency of less than 1\%). The data include 198,269 autosomal predicted loss-of-function (LOF) variants, a more than 14-fold increase compared to the imputed sequence. Nearly all genes (more than 97\%) had at least one carrier with a LOF variant, and most genes (more than 69\%) had at least ten carriers with a LOF variant. We illustrate the power of characterizing LOF variants in this population through association analyses across 1,730 phenotypes. In addition to replicating established associations, we found novel LOF variants with large effects on disease traits, includingPIEZO1on varicose veins,COL6A1on corneal resistance,MEPEon bone density, andIQGAP2andGMPRon blood cell traits. We further demonstrate the value of exome sequencing by surveying the prevalence of pathogenic variants of clinical importance, and show that 2\% of this population has a medically actionable variant. Furthermore, we characterize the penetrance of cancer in carriers of pathogenicBRCA1andBRCA2variants. Exome sequences from the first 49,960 participants highlight the promise of genome sequencing in large population-based studies and are now accessible to the scientific community. <br /> Exome sequences from the first 49,960 participants in the UK Biobank highlight the promise of genome sequencing in large population-based studies and are now accessible to the scientific community.},
  language  = {en}
}
@article{UrbachFay2021,
  author    = {Urbach, Tina and Fay, Doris},
  title     = {Leader member exchange in leaders' support for voice},
  series = {Applied psychology : an international review},
  volume    = {70},
  journal   = {Applied psychology : an international review},
  number    = {2},
  publisher = {Wiley},
  address   = {Hoboken},
  issn      = {0269-994X},
  doi       = {10.1111/apps.12245},
  pages     = {674 -- 708},
  year      = {2021},
  abstract  = {While previous research underscores the role of leaders in stimulating employee voice behaviour, comparatively little is known about what affects leaders' support for such constructive but potentially threatening employee behaviours. We introduce leader member exchange quality (LMX) as a central predictor of leaders' support for employees' ideas for constructive change. Apart from a general benefit of high LMX for leaders' idea support, we propose that high LMX is particularly critical to leaders' idea support if the idea voiced by an employee constitutes a power threat to the leader. We investigate leaders' attribution of prosocial and egoistic employee intentions as mediators of these effects. Hypotheses were tested in a quasi-experimental vignette study (N = 160), in which leaders evaluated a simulated employee idea, and a field study (N = 133), in which leaders evaluated an idea that had been voiced to them at work. Results show an indirect effect of LMX on leaders' idea support via attributed prosocial intentions but not via attributed egoistic intentions, and a buffering effect of high LMX on the negative effect of power threat on leaders' idea support. Results differed across studies with regard to the main effect of LMX on idea support.},
  language  = {en}
}