Literature DB >> 33635861

Ancestral haplotype reconstruction in endogamous populations using identity-by-descent.

Kelly Finke1,2, Michael Kourakos1, Gabriela Brown1, Huyen Trang Dang3, Shi Jie Samuel Tan4, Yuval B Simons5, Shweta Ramdas6, Alejandro A Schäffer7, Rachel L Kember8, Maja Bućan6, Sara Mathieson4.   

Abstract

In this work we develop a novel algorithm for reconstructing the genomes of ancestral individuals, given genotype or sequence data from contemporary individuals and an extended pedigree of family relationships. A pedigree with complete genomes for every individual enables the study of allele frequency dynamics and haplotype diversity across generations, including deviations from neutrality such as transmission distortion. When studying heritable diseases, ancestral haplotypes can be used to augment genome-wide association studies and track disease inheritance patterns. The building blocks of our reconstruction algorithm are segments of Identity-By-Descent (IBD) shared between two or more genotyped individuals. The method alternates between identifying a source for each IBD segment and assembling IBD segments placed within each ancestral individual. Unlike previous approaches, our method is able to accommodate complex pedigree structures with hundreds of individuals genotyped at millions of SNPs. We apply our method to an Old Order Amish pedigree from Lancaster, Pennsylvania, whose founders came to North America from Europe during the early 18th century. The pedigree includes 1338 individuals from the past 12 generations, 394 with genotype data. The motivation for reconstruction is to understand the genetic basis of diseases segregating in the family through tracking haplotype transmission over time. Using our algorithm thread, we are able to reconstruct an average of 224 ancestral individuals per chromosome. For these ancestral individuals, on average we reconstruct 79% of their haplotypes. We also identify a region on chromosome 16 that is difficult to reconstruct-we find that this region harbors a short Amish-specific copy number variation and the gene HYDIN. thread was developed for endogamous populations, but can be applied to any extensive pedigree with the recent generations genotyped. We anticipate that this type of practical ancestral reconstruction will become more common and necessary to understand rare and complex heritable diseases in extended families.

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Year:  2021        PMID: 33635861      PMCID: PMC7946327          DOI: 10.1371/journal.pcbi.1008638

Source DB:  PubMed          Journal:  PLoS Comput Biol        ISSN: 1553-734X            Impact factor:   4.475


  59 in total

1.  Towards a complete North American Anabaptist Genealogy II: analysis of inbreeding.

Authors:  R Agarwala; A A Schäffer; J F Tomlin
Journal:  Hum Biol       Date:  2001-08       Impact factor: 0.553

Review 2.  The role of linkage studies for common diseases.

Authors:  J R Gulcher; A Kong; K Stefansson
Journal:  Curr Opin Genet Dev       Date:  2001-06       Impact factor: 5.578

3.  HAPLORE: a program for haplotype reconstruction in general pedigrees without recombination.

Authors:  Kui Zhang; Fengzhu Sun; Hongyu Zhao
Journal:  Bioinformatics       Date:  2004-07-01       Impact factor: 6.937

4.  Amish, mennonite, and hutterite genetic disorder database.

Authors:  Michael Payne; C Anthony Rupar; Geoffrey M Siu; Victoria Mok Siu
Journal:  Paediatr Child Health       Date:  2011-03       Impact factor: 2.253

5.  Identification of copy number variation hotspots in human populations.

Authors:  Wenqing Fu; Feng Zhang; Yi Wang; Xun Gu; Li Jin
Journal:  Am J Hum Genet       Date:  2010-10-08       Impact factor: 11.025

6.  Reconstructing pedigrees: a stochastic perspective.

Authors:  Bhalchandra D Thatte; Mike Steel
Journal:  J Theor Biol       Date:  2007-12-14       Impact factor: 2.691

Review 7.  The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptation.

Authors:  Ben J Hayes; Harris A Lewin; Michael E Goddard
Journal:  Trends Genet       Date:  2012-12-19       Impact factor: 11.639

8.  A novel nemaline myopathy in the Amish caused by a mutation in troponin T1.

Authors:  J J Johnston; R I Kelley; T O Crawford; D H Morton; R Agarwala; T Koch; A A Schäffer; C A Francomano; L G Biesecker
Journal:  Am J Hum Genet       Date:  2000-08-21       Impact factor: 11.025

9.  Genetic pleiotropy between mood disorders, metabolic, and endocrine traits in a multigenerational pedigree.

Authors:  Rachel L Kember; Liping Hou; Xiao Ji; Lars H Andersen; Arpita Ghorai; Lisa N Estrella; Laura Almasy; Francis J McMahon; Christopher Brown; Maja Bućan
Journal:  Transl Psychiatry       Date:  2018-10-12       Impact factor: 6.222

10.  Refinement and discovery of new hotspots of copy-number variation associated with autism spectrum disorder.

Authors:  Santhosh Girirajan; Megan Y Dennis; Carl Baker; Maika Malig; Bradley P Coe; Catarina D Campbell; Kenneth Mark; Tiffany H Vu; Can Alkan; Ze Cheng; Leslie G Biesecker; Raphael Bernier; Evan E Eichler
Journal:  Am J Hum Genet       Date:  2013-01-31       Impact factor: 11.025

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  2 in total

1.  Fast and Robust Identity-by-Descent Inference with the Templated Positional Burrows-Wheeler Transform.

Authors:  William A Freyman; Kimberly F McManus; Suyash S Shringarpure; Ethan M Jewett; Katarzyna Bryc; Adam Auton
Journal:  Mol Biol Evol       Date:  2021-05-04       Impact factor: 16.240

2.  Fully exploiting SNP arrays: a systematic review on the tools to extract underlying genomic structure.

Authors:  Laura Balagué-Dobón; Alejandro Cáceres; Juan R González
Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

  2 in total

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