Literature DB >> 29285967

The Genomic Health of Ancient Hominins.

Ali J Berens1, Taylor L Cooper1, Joseph Lachance1.   

Abstract

The genomes of ancient humans, Neandertals, and Denisovans contain many alleles that influence disease risks. Using genotypes at 3,180 disease-associated loci, we estimated the disease burden of 147 ancient genomes. After correcting for missing data, genetic risk scores (GRS) were generated for nine disease categories and the set of all combined diseases. We used these genetic risk scores to examine the effects of different types of subsistence, geography, and sample age on the number of risk alleles in each ancient genome. On a broad scale, hereditary disease risks are similar for ancient hominins and modern-day humans, and the GRS percentiles of ancient individuals span the full range of what is observed in present-day individuals. In addition, there is evidence that ancient pastoralists may have had healthier genomes than hunter-gatherers and agriculturalists. We also observed a temporal trend whereby genomes from the recent past are more likely to be healthier than genomes from the deep past. This calls into question the idea that modern lifestyles have caused genetic load to increase over time. Focusing on individual genomes, we found that the overall genomic health of the Altai Neandertal is worse than 97% of present-day humans and that Ötzi, the Tyrolean Iceman, had a genetic predisposition for gastrointestinal and cardiovascular diseases. As demonstrated by this work, ancient genomes afford us new opportunities to diagnose past human health, which has previously been limited by the quality and completeness of remains.

Entities:  

Keywords:  ancient dna; genetic disease risks; human evolution; population genetics; predictive health

Mesh:

Substances:

Year:  2017        PMID: 29285967     DOI: 10.13110/humanbiology.89.1.01

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  11 in total

1.  A Custom Genotyping Array Reveals Population-Level Heterogeneity for the Genetic Risks of Prostate Cancer and Other Cancers in Africa.

Authors:  Maxine Harlemon; Olabode Ajayi; Paidamoyo Kachambwa; Michelle S Kim; Corinne N Simonti; Melanie H Quiver; Desiree C Petersen; Anuradha Mittal; Pedro W Fernandez; Ann W Hsing; Shakuntala Baichoo; Ilir Agalliu; Mohamed Jalloh; Serigne M Gueye; Nana Yaa F Snyper; Ben Adusei; James E Mensah; Afua O D Abrahams; Akindele O Adebiyi; Akin T Orunmuyi; Oseremen I Aisuodionoe-Shadrach; Maxwell M Nwegbu; Maureen Joffe; Wenlong C Chen; Hayley Irusen; Alfred I Neugut; Yuri Quintana; Moleboheng Seutloali; Mayowa B Fadipe; Christopher Warren; Marcos H Woehrmann; Peng Zhang; Chrissie M Ongaco; Michelle Mawhinney; Jo McBride; Caroline V Andrews; Marcia Adams; Elizabeth Pugh; Timothy R Rebbeck; Lindsay N Petersen; Joseph Lachance
Journal:  Cancer Res       Date:  2020-05-11       Impact factor: 12.701

2.  The utility of genomic prediction models in evolutionary genetics.

Authors:  Suzanne E McGaugh; Aaron J Lorenz; Lex E Flagel
Journal:  Proc Biol Sci       Date:  2021-08-04       Impact factor: 5.530

3.  An integrative skeletal and paleogenomic analysis of stature variation suggests relatively reduced health for early European farmers.

Authors:  Stephanie Marciniak; Christina M Bergey; Ana Maria Silva; Agata Hałuszko; Mirosław Furmanek; Barbara Veselka; Petr Velemínský; Giuseppe Vercellotti; Joachim Wahl; Gunita Zariņa; Cristina Longhi; Jan Kolář; Rafael Garrido-Pena; Raúl Flores-Fernández; Ana M Herrero-Corral; Angela Simalcsik; Werner Müller; Alison Sheridan; Žydrūnė Miliauskienė; Rimantas Jankauskas; Vyacheslav Moiseyev; Kitti Köhler; Ágnes Király; Beatriz Gamarra; Olivia Cheronet; Vajk Szeverényi; Viktória Kiss; Tamás Szeniczey; Krisztián Kiss; Zsuzsanna K Zoffmann; Judit Koós; Magdolna Hellebrandt; Robert M Maier; László Domboróczki; Cristian Virag; Mario Novak; David Reich; Tamás Hajdu; Noreen von Cramon-Taubadel; Ron Pinhasi; George H Perry
Journal:  Proc Natl Acad Sci U S A       Date:  2022-04-06       Impact factor: 12.779

4.  Genetic disease risks can be misestimated across global populations.

Authors:  Michelle S Kim; Kane P Patel; Andrew K Teng; Ali J Berens; Joseph Lachance
Journal:  Genome Biol       Date:  2018-11-14       Impact factor: 13.583

5.  Skeletal Anomalies in The Neandertal Family of El Sidrón (Spain) Support A Role of Inbreeding in Neandertal Extinction.

Authors:  L Ríos; T L Kivell; C Lalueza-Fox; A Estalrrich; A García-Tabernero; R Huguet; Y Quintino; M de la Rasilla; A Rosas
Journal:  Sci Rep       Date:  2019-02-08       Impact factor: 4.379

6.  Genomic analysis of the natural history of attention-deficit/hyperactivity disorder using Neanderthal and ancient Homo sapiens samples.

Authors:  Bru Cormand; Oscar Lao; Paula Esteller-Cucala; Iago Maceda; Anders D Børglum; Ditte Demontis; Stephen V Faraone
Journal:  Sci Rep       Date:  2020-05-25       Impact factor: 4.379

7.  Population differentiation of polygenic score predictions under stabilizing selection.

Authors:  Sivan Yair; Graham Coop
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2022-04-18       Impact factor: 6.671

8.  Spatio-temporal dynamics of pathogenic variants associated with monogenic disorders reconstructed with ancient DNA.

Authors:  Draga Toncheva; Maria Marinova; Plamenka Borovska; Dimitar Serbezov
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

9.  Intragenus (Homo) variation in a chemokine receptor gene (CCR5).

Authors:  Kara C Hoover
Journal:  PLoS One       Date:  2018-10-02       Impact factor: 3.240

10.  Adaptive eQTLs reveal the evolutionary impacts of pleiotropy and tissue-specificity while contributing to health and disease.

Authors:  Melanie H Quiver; Joseph Lachance
Journal:  HGG Adv       Date:  2021-12-24
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.