Literature DB >> 33350384

A variant-centric perspective on geographic patterns of human allele frequency variation.

Arjun Biddanda1, Daniel P Rice1, John Novembre1.   

Abstract

A key challenge in human genetics is to understand the geographic distribution of human genetic variation. Often genetic variation is described by showing relationships among populations or individuals, drawing inferences over many variants. Here, we introduce an alternative representation of genetic variation that reveals the relative abundance of different allele frequency patterns. This approach allows viewers to easily see several features of human genetic structure: (1) most variants are rare and geographically localized, (2) variants that are common in a single geographic region are more likely to be shared across the globe than to be private to that region, and (3) where two individuals differ, it is most often due to variants that are found globally, regardless of whether the individuals are from the same region or different regions. Our variant-centric visualization clarifies the geographic patterns of human variation and can help address misconceptions about genetic differentiation among populations.
© 2020, Biddanda et al.

Entities:  

Keywords:  data visualization; demographic history; evolutionary biology; genetics; genomics; human; human variation; population genetics; population structure

Mesh:

Year:  2020        PMID: 33350384      PMCID: PMC7755386          DOI: 10.7554/eLife.60107

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  79 in total

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Journal:  Cell       Date:  2019-10-10       Impact factor: 41.582

5.  Genetic analyses of diverse populations improves discovery for complex traits.

Authors:  Genevieve L Wojcik; Mariaelisa Graff; Katherine K Nishimura; Ran Tao; Jeffrey Haessler; Christopher R Gignoux; Heather M Highland; Yesha M Patel; Elena P Sorokin; Christy L Avery; Gillian M Belbin; Stephanie A Bien; Iona Cheng; Sinead Cullina; Chani J Hodonsky; Yao Hu; Laura M Huckins; Janina Jeff; Anne E Justice; Jonathan M Kocarnik; Unhee Lim; Bridget M Lin; Yingchang Lu; Sarah C Nelson; Sung-Shim L Park; Hannah Poisner; Michael H Preuss; Melissa A Richard; Claudia Schurmann; Veronica W Setiawan; Alexandra Sockell; Karan Vahi; Marie Verbanck; Abhishek Vishnu; Ryan W Walker; Kristin L Young; Niha Zubair; Victor Acuña-Alonso; Jose Luis Ambite; Kathleen C Barnes; Eric Boerwinkle; Erwin P Bottinger; Carlos D Bustamante; Christian Caberto; Samuel Canizales-Quinteros; Matthew P Conomos; Ewa Deelman; Ron Do; Kimberly Doheny; Lindsay Fernández-Rhodes; Myriam Fornage; Benyam Hailu; Gerardo Heiss; Brenna M Henn; Lucia A Hindorff; Rebecca D Jackson; Cecelia A Laurie; Cathy C Laurie; Yuqing Li; Dan-Yu Lin; Andres Moreno-Estrada; Girish Nadkarni; Paul J Norman; Loreall C Pooler; Alexander P Reiner; Jane Romm; Chiara Sabatti; Karla Sandoval; Xin Sheng; Eli A Stahl; Daniel O Stram; Timothy A Thornton; Christina L Wassel; Lynne R Wilkens; Cheryl A Winkler; Sachi Yoneyama; Steven Buyske; Christopher A Haiman; Charles Kooperberg; Loic Le Marchand; Ruth J F Loos; Tara C Matise; Kari E North; Ulrike Peters; Eimear E Kenny; Christopher S Carlson
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Journal:  PLoS One       Date:  2016-12-14       Impact factor: 3.240

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Journal:  Nat Commun       Date:  2018-08-14       Impact factor: 14.919

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Review 5.  Populations, Traits, and Their Spatial Structure in Humans.

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6.  Common host variation drives malaria parasite fitness in healthy human red cells.

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