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   Calibrating the Human Mutation Rate via Ancestral Recombination Density in Diploid Genomes  
   
نویسنده lipson m. ,loh p.-r. ,sankararaman s. ,patterson n. ,berger b. ,reich d.
منبع plos genetics - 2015 - دوره : 11 - شماره : 11
چکیده    The human mutation rate is an essential parameter for studying the evolution of our species,interpreting present-day genetic variation,and understanding the incidence of genetic disease. nevertheless,our current estimates of the rate are uncertain. most notably,recent approaches based on counting de novo mutations in family pedigrees have yielded significantly smaller values than classical methods based on sequence divergence. here,we propose a new method that uses the fine-scale human recombination map to calibrate the rate of accumulation of mutations. by comparing local heterozygosity levels in diploid genomes to the genetic distance scale over which these levels change,we are able to estimate a long-term mutation rate averaged over hundreds or thousands of generations. we infer a rate of 1.61 ± 0.13 × 10−8mutations per base per generation,which falls in between phylogenetic and pedigree-based estimates,and we suggest possible mechanisms to reconcile our estimate with previous studies. our results support intermediate-age divergences among human populations and between humans and other great apes. © 2015 lipson et al.
آدرس department of genetics,harvard medical school,boston,ma, United States, department of epidemiology,harvard school of public health,boston,ma,united states,medical and population genetics program,broad institute of mit and harvard,cambridge,ma, United States, department of genetics,harvard medical school,boston,ma,united states,medical and population genetics program,broad institute of mit and harvard,cambridge,ma, United States, medical and population genetics program,broad institute of mit and harvard,cambridge,ma, United States, medical and population genetics program,broad institute of mit and harvard,cambridge,ma,united states,department of mathematics and computer science and artificial intelligence laboratory,massachusetts institute of technology,cambridge,ma, United States, department of genetics,harvard medical school,boston,ma,united states,medical and population genetics program,broad institute of mit and harvard,cambridge,ma,united states,howard hughes medical institute,harvard medical school,boston,ma, United States
 
     
   
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