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Rivalan P Delmas V Angulo E Bull LS Hall RJ Courchamp F Rosser AM Leader-Williams N 《Nature》2007,447(7144):529-530
244.
Van Houdt JK Nowakowska BA Sousa SB van Schaik BD Seuntjens E Avonce N Sifrim A Abdul-Rahman OA van den Boogaard MJ Bottani A Castori M Cormier-Daire V Deardorff MA Filges I Fryer A Fryns JP Gana S Garavelli L Gillessen-Kaesbach G Hall BD Horn D Huylebroeck D Klapecki J Krajewska-Walasek M Kuechler A Lines MA Maas S Macdermot KD McKee S Magee A de Man SA Moreau Y Morice-Picard F Obersztyn E Pilch J Rosser E Shannon N Stolte-Dijkstra I Van Dijck P Vilain C Vogels A Wakeling E Wieczorek D 《Nature genetics》2012,44(4):445-9, S1
245.
Eeles RA Kote-Jarai Z Giles GG Olama AA Guy M Jugurnauth SK Mulholland S Leongamornlert DA Edwards SM Morrison J Field HI Southey MC Severi G Donovan JL Hamdy FC Dearnaley DP Muir KR Smith C Bagnato M Ardern-Jones AT Hall AL O'Brien LT Gehr-Swain BN Wilkinson RA Cox A Lewis S Brown PM Jhavar SG Tymrakiewicz M Lophatananon A Bryant SL;UK Genetic Prostate Cancer Study Collaborators;British Association of Urological Surgeons' Section of Oncology;UK ProtecT Study Collaborators Horwich A Huddart RA 《Nature genetics》2008,40(3):316-321
Prostate cancer is the most common cancer affecting males in developed countries. It shows consistent evidence of familial aggregation, but the causes of this aggregation are mostly unknown. To identify common alleles associated with prostate cancer risk, we conducted a genome-wide association study (GWAS) using blood DNA samples from 1,854 individuals with clinically detected prostate cancer diagnosed at =60 years or with a family history of disease, and 1,894 population-screened controls with a low prostate-specific antigen (PSA) concentration (<0.5 ng/ml). We analyzed these samples for 541,129 SNPs using the Illumina Infinium platform. Initial putative associations were confirmed using a further 3,268 cases and 3,366 controls. We identified seven loci associated with prostate cancer on chromosomes 3, 6, 7, 10, 11, 19 and X (P = 2.7 x 10(-8) to P = 8.7 x 10(-29)). We confirmed previous reports of common loci associated with prostate cancer at 8q24 and 17q. Moreover, we found that three of the newly identified loci contain candidate susceptibility genes: MSMB, LMTK2 and KLK3. 相似文献
246.
Lindström S Vachon CM Li J Varghese J Thompson D Warren R Brown J Leyland J Audley T Wareham NJ Loos RJ Paterson AD Rommens J Waggott D Martin LJ Scott CG Pankratz VS Hankinson SE Hazra A Hunter DJ Hopper JL Southey MC Chanock SJ Silva Idos S Liu J Eriksson L Couch FJ Stone J Apicella C Czene K Kraft P Hall P Easton DF Boyd NF Tamimi RM 《Nature genetics》2011,43(3):185-187
High-percent mammographic density adjusted for age and body mass index is one of the strongest risk factors for breast cancer. We conducted a meta analysis of five genome-wide association studies of percent mammographic density and report an association with rs10995190 in ZNF365 (combined P = 9.6 × 10(-10)). Common variants in ZNF365 have also recently been associated with susceptibility to breast cancer. 相似文献
247.
Different species, populations and individuals vary considerably in the copy number of discrete segments of their genomes. The manner and frequency with which these genetic differences arise over generational time is not well understood. Taking advantage of divergence among lineages sharing a recent common ancestry, we have conducted a genome-wide analysis of spontaneous copy number variation (CNV) in the laboratory mouse. We used high-resolution microarrays to identify 38 CNVs among 14 colonies of the C57BL/6 strain spanning approximately 967 generations of inbreeding, and we examined these loci in 12 additional strains. It is clear from our results that many CNVs arise through a highly nonrandom process: 18 of 38 were the product of recurrent mutation, and rates of change varied roughly four orders of magnitude across different loci. Recurrent CNVs are found throughout the genome, affect 43 genes and fluctuate in copy number over mere hundreds of generations, observations that raise questions about their contribution to natural variation. 相似文献
248.
The genetics of plant metabolism 总被引:11,自引:0,他引:11
Keurentjes JJ Fu J de Vos CH Lommen A Hall RD Bino RJ van der Plas LH Jansen RC Vreugdenhil D Koornneef M 《Nature genetics》2006,38(7):842-849
Variation for metabolite composition and content is often observed in plants. However, it is poorly understood to what extent this variation has a genetic basis. Here, we describe the genetic analysis of natural variation in the metabolite composition in Arabidopsis thaliana. Instead of focusing on specific metabolites, we have applied empirical untargeted metabolomics using liquid chromatography-time of flight mass spectrometry (LC-QTOF MS). This uncovered many qualitative and quantitative differences in metabolite accumulation between A. thaliana accessions. Only 13.4% of the mass peaks were detected in all 14 accessions analyzed. Quantitative trait locus (QTL) analysis of more than 2,000 mass peaks, detected in a recombinant inbred line (RIL) population derived from the two most divergent accessions, enabled the identification of QTLs for about 75% of the mass signals. More than one-third of the signals were not detected in either parent, indicating the large potential for modification of metabolic composition through classical breeding. 相似文献