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1.
Since Euro-American settlement, fire exclusion and other factors have dramatically altered interior western coniferous forests. Once open and parklike, present-day structure in many southwestern Pinus ponderosa forests consists of dense stands of young, small-diameter trees, with small patches of larger, old trees, and relict open bunchgrass areas. Our objectives were to assess differences in soil properties associated with these different vegetation patches. We examined soil morphological characteristics, pH, organic C concentration, total N concentration, C:N ratio, and phytolith concentration from profiles within 6 transects (18 soil pedons) crossing patches of dense stands of small diameter trees, patches of old-growth trees, and open grassy areas. Results indicate that old-growth plots had significantly lower A horizon pH and thicker O horizons than grass plots. In general, we found vegetation patches had statistically similar C and N concentrations and C:N ratios for A and B horizons; however, C in the A horizon was positively correlated with O horizon accumulation ( r 2 = 0.79). Greater accumulation of organic C in the A horizon of forested areas contrasts with commonly reported results from mesic, mid-continental prairie-forest ecosystems but is typical for many arid, semiarid, and humid savanna ecosystems. Phytolith concentration was similar among old-growth pine, dense younger pine, and open grassy plots; the lack of a spatial pattern in phytolith distribution could indicate that grass cover was more spatially continuous in the past. Additionally, this interpretation is consistent with current theories regarding historical vegetation change in these forests. 相似文献
2.
This paper presents systematically a method for image compression/decompression viawavelet transform.It consists of filter,quantization and Huffman coding etc..Different methodshave been compared.Finally,some suggestions for further studies are proposed.In fact,the paper isa summary of our recent research. 相似文献
3.
Willer CJ Sanna S Jackson AU Scuteri A Bonnycastle LL Clarke R Heath SC Timpson NJ Najjar SS Stringham HM Strait J Duren WL Maschio A Busonero F Mulas A Albai G Swift AJ Morken MA Narisu N Bennett D Parish S Shen H Galan P Meneton P Hercberg S Zelenika D Chen WM Li Y Scott LJ Scheet PA Sundvall J Watanabe RM Nagaraja R Ebrahim S Lawlor DA Ben-Shlomo Y Davey-Smith G Shuldiner AR Collins R Bergman RN Uda M Tuomilehto J Cao A Collins FS Lakatta E Lathrop GM Boehnke M Schlessinger D Mohlke KL 《Nature genetics》2008,40(2):161-169
To identify genetic variants influencing plasma lipid concentrations, we first used genotype imputation and meta-analysis to combine three genome-wide scans totaling 8,816 individuals and comprising 6,068 individuals specific to our study (1,874 individuals from the FUSION study of type 2 diabetes and 4,184 individuals from the SardiNIA study of aging-associated variables) and 2,758 individuals from the Diabetes Genetics Initiative, reported in a companion study in this issue. We subsequently examined promising signals in 11,569 additional individuals. Overall, we identify strongly associated variants in eleven loci previously implicated in lipid metabolism (ABCA1, the APOA5-APOA4-APOC3-APOA1 and APOE-APOC clusters, APOB, CETP, GCKR, LDLR, LPL, LIPC, LIPG and PCSK9) and also in several newly identified loci (near MVK-MMAB and GALNT2, with variants primarily associated with high-density lipoprotein (HDL) cholesterol; near SORT1, with variants primarily associated with low-density lipoprotein (LDL) cholesterol; near TRIB1, MLXIPL and ANGPTL3, with variants primarily associated with triglycerides; and a locus encompassing several genes near NCAN, with variants strongly associated with both triglycerides and LDL cholesterol). Notably, the 11 independent variants associated with increased LDL cholesterol concentrations in our study also showed increased frequency in a sample of coronary artery disease cases versus controls. 相似文献
4.
Weedon MN Lettre G Freathy RM Lindgren CM Voight BF Perry JR Elliott KS Hackett R Guiducci C Shields B Zeggini E Lango H Lyssenko V Timpson NJ Burtt NP Rayner NW Saxena R Ardlie K Tobias JH Ness AR Ring SM Palmer CN Morris AD Peltonen L Salomaa V;Diabetes Genetics Initiative;Wellcome Trust Case Control Consortium Davey Smith G Groop LC Hattersley AT McCarthy MI Hirschhorn JN Frayling TM 《Nature genetics》2007,39(10):1245-1250
Human height is a classic, highly heritable quantitative trait. To begin to identify genetic variants influencing height, we examined genome-wide association data from 4,921 individuals. Common variants in the HMGA2 oncogene, exemplified by rs1042725, were associated with height (P = 4 x 10(-8)). HMGA2 is also a strong biological candidate for height, as rare, severe mutations in this gene alter body size in mice and humans, so we tested rs1042725 in additional samples. We confirmed the association in 19,064 adults from four further studies (P = 3 x 10(-11), overall P = 4 x 10(-16), including the genome-wide association data). We also observed the association in children (P = 1 x 10(-6), N = 6,827) and a tall/short case-control study (P = 4 x 10(-6), N = 3,207). We estimate that rs1042725 explains approximately 0.3% of population variation in height (approximately 0.4 cm increased adult height per C allele). There are few examples of common genetic variants reproducibly associated with human quantitativetraits; these results represent, to our knowledge, the first consistently replicated association with adult and childhood height. 相似文献
5.
Taal HR St Pourcain B Thiering E Das S Mook-Kanamori DO Warrington NM Kaakinen M Kreiner-Møller E Bradfield JP Freathy RM Geller F Guxens M Cousminer DL Kerkhof M Timpson NJ Ikram MA Beilin LJ Bønnelykke K Buxton JL Charoen P Chawes BL Eriksson J Evans DM Hofman A Kemp JP Kim CE Klopp N Lahti J Lye SJ McMahon G Mentch FD Müller-Nurasyid M O'Reilly PF Prokopenko I Rivadeneira F Steegers EA Sunyer J Tiesler C Yaghootkar H;Cohorts for Heart Aging Research in Genetic Epidemiology Consortium 《Nature genetics》2012,44(5):532-538
To identify genetic variants associated with head circumference in infancy, we performed a meta-analysis of seven genome-wide association studies (GWAS) (N = 10,768 individuals of European ancestry enrolled in pregnancy and/or birth cohorts) and followed up three lead signals in six replication studies (combined N = 19,089). rs7980687 on chromosome 12q24 (P = 8.1 × 10(-9)) and rs1042725 on chromosome 12q15 (P = 2.8 × 10(-10)) were robustly associated with head circumference in infancy. Although these loci have previously been associated with adult height, their effects on infant head circumference were largely independent of height (P = 3.8 × 10(-7) for rs7980687 and P = 1.3 × 10(-7) for rs1042725 after adjustment for infant height). A third signal, rs11655470 on chromosome 17q21, showed suggestive evidence of association with head circumference (P = 3.9 × 10(-6)). SNPs correlated to the 17q21 signal have shown genome-wide association with adult intracranial volume, Parkinson's disease and other neurodegenerative diseases, indicating that a common genetic variant in this region might link early brain growth with neurological disease in later life. 相似文献
6.
RA Scott V Lagou RP Welch E Wheeler ME Montasser J Luan R Mägi RJ Strawbridge E Rehnberg S Gustafsson S Kanoni LJ Rasmussen-Torvik L Yengo C Lecoeur D Shungin S Sanna C Sidore PC Johnson JW Jukema T Johnson A Mahajan N Verweij G Thorleifsson JJ Hottenga S Shah AV Smith B Sennblad C Gieger P Salo M Perola NJ Timpson DM Evans BS Pourcain Y Wu JS Andrews J Hui LF Bielak W Zhao M Horikoshi P Navarro A Isaacs JR O'Connell K Stirrups V Vitart C Hayward T Esko E Mihailov RM Fraser T Fall BF Voight 《Nature genetics》2012,44(9):991-1005
Through genome-wide association meta-analyses of up to 133,010 individuals of European ancestry without diabetes, including individuals newly genotyped using the Metabochip, we have increased the number of confirmed loci influencing glycemic traits to 53, of which 33 also increase type 2 diabetes risk (q < 0.05). Loci influencing fasting insulin concentration showed association with lipid levels and fat distribution, suggesting impact on insulin resistance. Gene-based analyses identified further biologically plausible loci, suggesting that additional loci beyond those reaching genome-wide significance are likely to represent real associations. This conclusion is supported by an excess of directionally consistent and nominally significant signals between discovery and follow-up studies. Functional analysis of these newly discovered loci will further improve our understanding of glycemic control. 相似文献
7.
Iterative methods are popular choices in image reconstruction fields due to their capability of recovering object information from incomplete acquisition data.However,the computation process involves frequent uses of forward and backward projections that are computationally expensive.Past research has proved that a forward projector that can produce high quality images is crucial to achieve a good convergence rate.In this paper a high performance iterative reconstruction framework is introduced,where two mo... 相似文献
8.
Ikram MA Fornage M Smith AV Seshadri S Schmidt R Debette S Vrooman HA Sigurdsson S Ropele S Taal HR Mook-Kanamori DO Coker LH Longstreth WT Niessen WJ DeStefano AL Beiser A Zijdenbos AP Struchalin M Jack CR Rivadeneira F Uitterlinden AG Knopman DS Hartikainen AL Pennell CE Thiering E Steegers EA Hakonarson H Heinrich J Palmer LJ Jarvelin MR McCarthy MI Grant SF St Pourcain B Timpson NJ Smith GD Sovio U;Early Growth Genetics Consortium Nalls MA Au R Hofman A Gudnason H van der Lugt A Harris TB 《Nature genetics》2012,44(5):539-544
During aging, intracranial volume remains unchanged and represents maximally attained brain size, while various interacting biological phenomena lead to brain volume loss. Consequently, intracranial volume and brain volume in late life reflect different genetic influences. Our genome-wide association study (GWAS) in 8,175 community-dwelling elderly persons did not reveal any associations at genome-wide significance (P < 5 × 10(-8)) for brain volume. In contrast, intracranial volume was significantly associated with two loci: rs4273712 (P = 3.4 × 10(-11)), a known height-associated locus on chromosome 6q22, and rs9915547 (P = 1.5 × 10(-12)), localized to the inversion on chromosome 17q21. We replicated the associations of these loci with intracranial volume in a separate sample of 1,752 elderly persons (P = 1.1 × 10(-3) for 6q22 and 1.2 × 10(-3) for 17q21). Furthermore, we also found suggestive associations of the 17q21 locus with head circumference in 10,768 children (mean age of 14.5 months). Our data identify two loci associated with head size, with the inversion at 17q21 also likely to be involved in attaining maximal brain size. 相似文献
9.
Sanna S Jackson AU Nagaraja R Willer CJ Chen WM Bonnycastle LL Shen H Timpson N Lettre G Usala G Chines PS Stringham HM Scott LJ Dei M Lai S Albai G Crisponi L Naitza S Doheny KF Pugh EW Ben-Shlomo Y Ebrahim S Lawlor DA Bergman RN Watanabe RM Uda M Tuomilehto J Coresh J Hirschhorn JN Shuldiner AR Schlessinger D Collins FS Davey Smith G Boerwinkle E Cao A Boehnke M Abecasis GR Mohlke KL 《Nature genetics》2008,40(2):198-203
10.
Bradfield JP Taal HR Timpson NJ Scherag A Lecoeur C Warrington NM Hypponen E Holst C Valcarcel B Thiering E Salem RM Schumacher FR Cousminer DL Sleiman PM Zhao J Berkowitz RI Vimaleswaran KS Jarick I Pennell CE Evans DM St Pourcain B Berry DJ Mook-Kanamori DO Hofman A Rivadeneira F Uitterlinden AG van Duijn CM van der Valk RJ de Jongste JC Postma DS Boomsma DI Gauderman WJ Hassanein MT Lindgren CM Mägi R Boreham CA Neville CE Moreno LA Elliott P Pouta A Hartikainen AL Li M Raitakari O 《Nature genetics》2012,44(5):526-531
Multiple genetic variants have been associated with adult obesity and a few with severe obesity in childhood; however, less progress has been made in establishing genetic influences on common early-onset obesity. We performed a North American, Australian and European collaborative meta-analysis of 14 studies consisting of 5,530 cases (≥95th percentile of body mass index (BMI)) and 8,318 controls (<50th percentile of BMI) of European ancestry. Taking forward the eight newly discovered signals yielding association with P < 5 × 10(-6) in nine independent data sets (2,818 cases and 4,083 controls), we observed two loci that yielded genome-wide significant combined P values near OLFM4 at 13q14 (rs9568856; P = 1.82 × 10(-9); odds ratio (OR) = 1.22) and within HOXB5 at 17q21 (rs9299; P = 3.54 × 10(-9); OR = 1.14). Both loci continued to show association when two extreme childhood obesity cohorts were included (2,214 cases and 2,674 controls). These two loci also yielded directionally consistent associations in a previous meta-analysis of adult BMI(1). 相似文献