The Genetic Diversity and Structure of an Isolated Population from Northern European Russia Based on Whole-Exome Sequencing Data

[1]  Alicia R. Martin,et al.  Genome-wide association studies , 2021, Nature Reviews Methods Primers.

[2]  Runan Yao,et al.  ShinyGO: a graphical gene-set enrichment tool for animals and plants , 2019, Bioinform..

[3]  Swapan Mallick,et al.  Insights into human genetic variation and population history from 929 diverse genomes , 2019, Science.

[4]  Martin Kuhlwilm,et al.  The Genomic Footprints of the Fall and Recovery of the Crested Ibis , 2019, Current Biology.

[5]  O. Andreassen,et al.  A global overview of pleiotropy and genetic architecture in complex traits , 2019, Nature Genetics.

[6]  Peter K. Joshi,et al.  Runs of homozygosity: windows into population history and trait architecture , 2018, Nature Reviews Genetics.

[7]  D. Glahn,et al.  Cognitive genomics: Searching for the genetic roots of neuropsychological functioning. , 2017, Neuropsychology.

[8]  E. Grigorenko,et al.  Syntactic Complexity Effects of Russian Relative Clause Sentences in Children with and without Developmental Language Disorder , 2016, Language acquisition.

[9]  Yali Xue,et al.  BCFtools/RoH: a hidden Markov model approach for detecting autozygosity from next-generation sequencing data , 2016, Bioinform..

[10]  E. Zeggini,et al.  Using population isolates in genetic association studies , 2014, Briefings in functional genomics.

[11]  Mauricio O. Carneiro,et al.  From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline , 2013, Current protocols in bioinformatics.

[12]  Joshua L. Deignan,et al.  ACMG clinical laboratory standards for next-generation sequencing , 2013, Genetics in Medicine.

[13]  Doron Lancet,et al.  MalaCards: an integrated compendium for diseases and their annotation , 2013, Database J. Biol. Databases Curation.

[14]  S. Hochreiter,et al.  cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate , 2012, Nucleic acids research.

[15]  Heng Li,et al.  A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data , 2011, Bioinform..

[16]  E. Grigorenko,et al.  The relationship between syntactic development and Theory of Mind: Evidence from a small-population study of a developmental language disorder , 2011, Journal of Neurolinguistics.

[17]  Carl Kingsford,et al.  A fast, lock-free approach for efficient parallel counting of occurrences of k-mers , 2011, Bioinform..

[18]  Josyf Mychaleckyj,et al.  Robust relationship inference in genome-wide association studies , 2010, Bioinform..

[19]  H. Hakonarson,et al.  ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data , 2010, Nucleic acids research.

[20]  P. Visscher,et al.  Common SNPs explain a large proportion of heritability for human height , 2011 .

[21]  Richard Durbin,et al.  Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .

[22]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[23]  R. Grantham.  Amino Acid Difference Formula to Help Explain Protein Evolution , 1974, Science.