TY  - JOUR
A1  - Dumont, Martine
A1  - Weber-Lassalle, Nana
A1  - Joly-Beauparlant, Charles
A1  - Ernst, Corinna
A1  - Droit, Arnaud
A1  - Feng, Bing-Jian
A1  - Dubois, Stéphane
A1  - Collin-Deschesnes, Annie-Claude
A1  - Soucy, Penny
A1  - Vallée, Maxime
A1  - Fournier, Frédéric
A1  - Lemaçon, Audrey
A1  - Adank, Muriel A.
A1  - Allen, Jamie
A1  - Altmüller, Janine
A1  - Arnold, Norbert
A1  - Ausems, Margreet G. E. M.
A1  - Berutti, Riccardo
A1  - Bolla, Manjeet K.
A1  - Bull, Shelley
A1  - Carvalho, Sara
A1  - Cornelissen, Sten
A1  - Dufault, Michael R.
A1  - Dunning, Alison M.
A1  - Engel, Christoph
A1  - Gehrig, Andrea
A1  - Geurts-Giele, Willemina R. R.
A1  - Gieger, Christian
A1  - Green, Jessica
A1  - Hackmann, Karl
A1  - Helmy, Mohamed
A1  - Hentschel, Julia
A1  - Hogervorst, Frans B. L.
A1  - Hollestelle, Antoinette
A1  - Hooning, Maartje J.
A1  - Horváth, Judit
A1  - Ikram, M. Arfan
A1  - Kaulfuß, Silke
A1  - Keeman, Renske
A1  - Kuang, Da
A1  - Luccarini, Craig
A1  - Maier, Wolfgang
A1  - Martens, John W. M.
A1  - Niederacher, Dieter
A1  - Nürnberg, Peter
A1  - Ott, Claus-Eric
A1  - Peters, Annette
A1  - Pharoah, Paul D. P.
A1  - Ramirez, Alfredo
A1  - Ramser, Juliane
A1  - Riedel-Heller, Steffi
A1  - Schmidt, Gunnar
A1  - Shah, Mitul
A1  - Scherer, Martin
A1  - Stäbler, Antje
A1  - Strom, Tim M.
A1  - Sutter, Christian
A1  - Thiele, Holger
A1  - van Asperen, Christi J.
A1  - van der Kolk, Lizet
A1  - van der Luijt, Rob B.
A1  - Volk, Alexander E.
A1  - Wagner, Michael
A1  - Waisfisz, Quinten
A1  - Wang, Qin
A1  - Wang-Gohrke, Shan
A1  - Weber, Bernhard H. F.
A1  - Devilee, Peter
A1  - Tavtigian, Sean
A1  - Bader, Gary D.
A1  - Meindl, Alfons
A1  - Goldgar, David E.
A1  - Andrulis, Irene L.
A1  - Schmutzler, Rita K.
A1  - Easton, Douglas F.
A1  - Schmidt, Marjanka K.
A1  - Hahnen, Eric
A1  - Simard, Jacques
T1  - Uncovering the contribution of moderate-penetrance susceptibility genes to breast cancer by whole-exome sequencing and targeted enrichment sequencing of candidate genes in women of European ancestry
JF  - Cancers
N2  - Rare variants in at least 10 genes, including BRCA1, BRCA2, PALB2, ATM, and CHEK2, are associated with increased risk of breast cancer; however, these variants, in combination with common variants identified through genome-wide association studies, explain only a fraction of the familial aggregation of the disease. To identify further susceptibility genes, we performed a two-stage whole-exome sequencing study. In the discovery stage, samples from 1528 breast cancer cases enriched for breast cancer susceptibility and 3733 geographically matched unaffected controls were sequenced. Using five different filtering and gene prioritization strategies, 198 genes were selected for further validation. These genes, and a panel of 32 known or suspected breast cancer susceptibility genes, were assessed in a validation set of 6211 cases and 6019 controls for their association with risk of breast cancer overall, and by estrogen receptor (ER) disease subtypes, using gene burden tests applied to loss-of-function and rare missense variants. Twenty genes showed nominal evidence of association (p-value < 0.05) with either overall or subtype-specific breast cancer. Our study had the statistical power to detect susceptibility genes with effect sizes similar to ATM, CHEK2, and PALB2, however, it was underpowered to identify genes in which susceptibility variants are rarer or confer smaller effect sizes. Larger sample sizes would be required in order to identify such genes.
KW  - breast cancer
KW  - genetic susceptibility
KW  - whole-exome sequencing
KW  - moderate-penetrance genes
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-281768
SN  - 2072-6694
VL  - 14
IS  - 14
ER  - 
TY  - JOUR
A1  - Redlich, Sarah
A1  - Zhang, Jie
A1  - Benjamin, Caryl
A1  - Dhillon, Maninder Singh
A1  - Englmeier, Jana
A1  - Ewald, Jörg
A1  - Fricke, Ute
A1  - Ganuza, Cristina
A1  - Haensel, Maria
A1  - Hovestadt, Thomas
A1  - Kollmann, Johannes
A1  - Koellner, Thomas
A1  - Kübert‐Flock, Carina
A1  - Kunstmann, Harald
A1  - Menzel, Annette
A1  - Moning, Christoph
A1  - Peters, Wibke
A1  - Riebl, Rebekka
A1  - Rummler, Thomas
A1  - Rojas‐Botero, Sandra
A1  - Tobisch, Cynthia
A1  - Uhler, Johannes
A1  - Uphus, Lars
A1  - Müller, Jörg
A1  - Steffan‐Dewenter, Ingolf
T1  - Disentangling effects of climate and land use on biodiversity and ecosystem services—A multi‐scale experimental design
JF  - Methods in Ecology and Evolution
N2  - Climate and land-use change are key drivers of environmental degradation in the Anthropocene, but too little is known about their interactive effects on biodiversity and ecosystem services. Long-term data on biodiversity trends are currently lacking. Furthermore, previous ecological studies have rarely considered climate and land use in a joint design, did not achieve variable independence or lost statistical power by not covering the full range of environmental gradients.
    
Here, we introduce a multi-scale space-for-time study design to disentangle effects of climate and land use on biodiversity and ecosystem services. The site selection approach coupled extensive GIS-based exploration (i.e. using a Geographic information system) and correlation heatmaps with a crossed and nested design covering regional, landscape and local scales. Its implementation in Bavaria (Germany) resulted in a set of study plots that maximise the potential range and independence of environmental variables at different spatial scales.
    
Stratifying the state of Bavaria into five climate zones (reference period 1981–2010) and three prevailing land-use types, that is, near-natural, agriculture and urban, resulted in 60 study regions (5.8 × 5.8 km quadrants) covering a mean annual temperature gradient of 5.6–9.8°C and a spatial extent of ~310 × 310 km. Within these regions, we nested 180 study plots located in contrasting local land-use types, that is, forests, grasslands, arable land or settlement (local climate gradient 4.5–10°C). This approach achieved low correlations between climate and land use (proportional cover) at the regional and landscape scale with |r ≤ 0.33| and |r ≤ 0.29| respectively. Furthermore, using correlation heatmaps for local plot selection reduced potentially confounding relationships between landscape composition and configuration for plots located in forests, arable land and settlements.
    
The suggested design expands upon previous research in covering a significant range of environmental gradients and including a diversity of dominant land-use types at different scales within different climatic contexts. It allows independent assessment of the relative contribution of multi-scale climate and land use on biodiversity and ecosystem services. Understanding potential interdependencies among global change drivers is essential to develop effective restoration and mitigation strategies against biodiversity decline, especially in expectation of future climatic changes. Importantly, this study also provides a baseline for long-term ecological monitoring programs.
KW  - study design
KW  - biodiversity
KW  - climate change
KW  - ecosystem functioning
KW  - insect monitoring
KW  - land use
KW  - space-for-time approach
KW  - spatial scales
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-258270
VL  - 13
IS  - 2
ER  -