Literature DB >> 31477933

A method for genome-wide genealogy estimation for thousands of samples.

Leo Speidel1, Marie Forest2, Sinan Shi1, Simon R Myers3,4.   

Abstract

Knowledge of genome-wide genealogies for thousands of individuals would simplify most evolutionary analyses for humans and other species, but has remained computationally infeasible. We have developed a method, Relate, scaling to >10,000 sequences while simultaneously estimating branch lengths, mutational ages and variable historical population sizes, as well as allowing for data errors. Application to 1,000 Genomes Project haplotypes produces joint genealogical histories for 26 human populations. Highly diverged lineages are present in all groups, but most frequent in Africa. Outside Africa, these mainly reflect ancient introgression from groups related to Neanderthals and Denisovans, while African signals instead reflect unknown events unique to that continent. Our approach allows more powerful inferences of natural selection than has previously been possible. We identify multiple regions under strong positive selection, and multi-allelic traits including hair color, body mass index and blood pressure, showing strong evidence of directional selection, varying among human groups.

Entities:  

Mesh:

Year:  2019        PMID: 31477933      PMCID: PMC7610517          DOI: 10.1038/s41588-019-0484-x

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  4 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

2.  Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data.

Authors:  Na Li; Matthew Stephens
Journal:  Genetics       Date:  2003-12       Impact factor: 4.562

3.  Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies.

Authors:  Daniel Falush; Matthew Stephens; Jonathan K Pritchard
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

4.  RENT+: an improved method for inferring local genealogical trees from haplotypes with recombination.

Authors:  Sajad Mirzaei; Yufeng Wu
Journal:  Bioinformatics       Date:  2017-04-01       Impact factor: 6.937

  4 in total
  90 in total

Review 1.  Methods for detecting introgressed archaic sequences.

Authors:  Sriram Sankararaman
Journal:  Curr Opin Genet Dev       Date:  2020-07-24       Impact factor: 5.578

Review 2.  The importance of including ethnically diverse populations in studies of quantitative trait evolution.

Authors:  Michael A McQuillan; Chao Zhang; Sarah A Tishkoff; Alexander Platt
Journal:  Curr Opin Genet Dev       Date:  2020-06-27       Impact factor: 5.578

3.  Disentangling selection on genetically correlated polygenic traits via whole-genome genealogies.

Authors:  Aaron J Stern; Leo Speidel; Noah A Zaitlen; Rasmus Nielsen
Journal:  Am J Hum Genet       Date:  2021-01-12       Impact factor: 11.025

Review 4.  Origins of modern human ancestry.

Authors:  Anders Bergström; Chris Stringer; Mateja Hajdinjak; Eleanor M L Scerri; Pontus Skoglund
Journal:  Nature       Date:  2021-02-10       Impact factor: 49.962

5.  Human Prehistoric Demography Revealed by the Polymorphic Pattern of CpG Transitions.

Authors:  Xiaoming Liu
Journal:  Mol Biol Evol       Date:  2020-09-01       Impact factor: 16.240

6.  Genomic islands of differentiation in a rapid avian radiation have been driven by recent selective sweeps.

Authors:  Hussein A Hejase; Ayelet Salman-Minkov; Leonardo Campagna; Melissa J Hubisz; Irby J Lovette; Ilan Gronau; Adam Siepel
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-16       Impact factor: 11.205

7.  A cautionary note on the use of unsupervised machine learning algorithms to characterise malaria parasite population structure from genetic distance matrices.

Authors:  James A Watson; Aimee R Taylor; Elizabeth A Ashley; Arjen Dondorp; Caroline O Buckee; Nicholas J White; Chris C Holmes
Journal:  PLoS Genet       Date:  2020-10-09       Impact factor: 5.917

8.  Variable prediction accuracy of polygenic scores within an ancestry group.

Authors:  Hakhamanesh Mostafavi; Arbel Harpak; Ipsita Agarwal; Dalton Conley; Jonathan K Pritchard; Molly Przeworski
Journal:  Elife       Date:  2020-01-30       Impact factor: 8.140

9.  An approximate full-likelihood method for inferring selection and allele frequency trajectories from DNA sequence data.

Authors:  Aaron J Stern; Peter R Wilton; Rasmus Nielsen
Journal:  PLoS Genet       Date:  2019-09-13       Impact factor: 5.917

Review 10.  Inferring evolutionary dynamics of mutation rates through the lens of mutation spectrum variation.

Authors:  Jedidiah Carlson; William S DeWitt; Kelley Harris
Journal:  Curr Opin Genet Dev       Date:  2020-06-30       Impact factor: 5.578

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