Genome-wide analysis indicates association between heterozygote advantage and healthy aging in humans.


Journal

BMC genetics
ISSN: 1471-2156
Titre abrégé: BMC Genet
Pays: England
ID NLM: 100966978

Informations de publication

Date de publication:
02 07 2019
Historique:
received: 31 10 2018
accepted: 20 06 2019
entrez: 4 7 2019
pubmed: 4 7 2019
medline: 6 2 2020
Statut: epublish

Résumé

Genetic diversity is known to confer survival advantage in many species across the tree of life. Here, we hypothesize that such pattern applies to humans as well and could be a result of higher fitness in individuals with higher genomic heterozygosity. We use healthy aging as a proxy for better health and fitness, and observe greater heterozygosity in healthy-aged individuals. Specifically, we find that only common genetic variants show significantly higher excess of heterozygosity in the healthy-aged cohort. Lack of difference in heterozygosity for low-frequency variants or disease-associated variants excludes the possibility of compensation for deleterious recessive alleles as a mechanism. In addition, coding SNPs with the highest excess of heterozygosity in the healthy-aged cohort are enriched in genes involved in extracellular matrix and glycoproteins, a group of genes known to be under long-term balancing selection. We also find that individual heterozygosity rate is a significant predictor of electronic health record (EHR)-based estimates of 10-year survival probability in men but not in women, accounting for several factors including age and ethnicity. Our results demonstrate that the genomic heterozygosity is associated with human healthspan, and that the relationship between higher heterozygosity and healthy aging could be explained by heterozygote advantage. Further characterization of this relationship will have important implications in aging-associated disease risk prediction.

Sections du résumé

BACKGROUND
Genetic diversity is known to confer survival advantage in many species across the tree of life. Here, we hypothesize that such pattern applies to humans as well and could be a result of higher fitness in individuals with higher genomic heterozygosity.
RESULTS
We use healthy aging as a proxy for better health and fitness, and observe greater heterozygosity in healthy-aged individuals. Specifically, we find that only common genetic variants show significantly higher excess of heterozygosity in the healthy-aged cohort. Lack of difference in heterozygosity for low-frequency variants or disease-associated variants excludes the possibility of compensation for deleterious recessive alleles as a mechanism. In addition, coding SNPs with the highest excess of heterozygosity in the healthy-aged cohort are enriched in genes involved in extracellular matrix and glycoproteins, a group of genes known to be under long-term balancing selection. We also find that individual heterozygosity rate is a significant predictor of electronic health record (EHR)-based estimates of 10-year survival probability in men but not in women, accounting for several factors including age and ethnicity.
CONCLUSIONS
Our results demonstrate that the genomic heterozygosity is associated with human healthspan, and that the relationship between higher heterozygosity and healthy aging could be explained by heterozygote advantage. Further characterization of this relationship will have important implications in aging-associated disease risk prediction.

Identifiants

pubmed: 31266448
doi: 10.1186/s12863-019-0758-4
pii: 10.1186/s12863-019-0758-4
pmc: PMC6604157
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

52

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001114
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK098242
Pays : United States

Références

Genet Res. 1999 Dec;74(3):329-40
pubmed: 10689809
Mol Biol Evol. 2009 Dec;26(12):2755-64
pubmed: 19713326
Mol Biol Evol. 2012 Sep;29(9):2087-94
pubmed: 22389448
Trends Cell Biol. 2016 Aug;26(8):565-568
pubmed: 27238421
Curr Opin Plant Biol. 2008 Apr;11(2):193-200
pubmed: 18313975
Cell Syst. 2015 Dec 23;1(6):417-425
pubmed: 26771021
Ann Neurol. 2012 Dec;72(6):927-35
pubmed: 23055271
Stat Comput. 2011 Jan 4;21(2):261-273
pubmed: 21359052
Am J Hum Genet. 2007 Sep;81(3):559-75
pubmed: 17701901
Cell. 2011 Apr 29;145(3):398-409
pubmed: 21529713
J Clin Epidemiol. 1994 Nov;47(11):1245-51
pubmed: 7722560
Lancet. 2009 Oct 3;374(9696):1196-208
pubmed: 19801098
Lancet. 2002 Apr 13;359(9314):1311-2
pubmed: 11965279
Hum Mutat. 2013 Sep;34(9):E2393-402
pubmed: 23843252
Cell Metab. 2016 Jun 14;23(6):1022-1033
pubmed: 27304504
Mol Cell Proteomics. 2012 Apr;11(4):M111.014647
pubmed: 22159717
Cell. 2014 Mar 27;157(1):241-53
pubmed: 24679539
Nature. 2012 Nov 1;491(7422):56-65
pubmed: 23128226
Nucleic Acids Res. 2016 Jan 4;44(D1):D869-76
pubmed: 26615194
Nucleic Acids Res. 2012 Jan;40(Database issue):D1047-54
pubmed: 22139925
Evolution. 1999 Aug;53(4):1259-1267
pubmed: 28565537
J Clin Epidemiol. 2003 Mar;56(3):221-9
pubmed: 12725876
Nature. 2003 Oct 16;425(6959):714-7
pubmed: 14562103
BMC Med Genet. 2011 Dec 12;12:160
pubmed: 22151998
Bioinformatics. 2012 Oct 1;28(19):2543-5
pubmed: 22843986
Genetics. 2008 Nov;180(3):1707-24
pubmed: 18791260
Trends Mol Med. 2013 Sep;19(9):515-21
pubmed: 23948386
PLoS Genet. 2013;9(8):e1003709
pubmed: 23990802
Front Zool. 2005 Oct 20;2:16
pubmed: 16242022
Genome Res. 2012 Aug;22(8):1383-94
pubmed: 22665443
Science. 2013 Mar 29;339(6127):1578-82
pubmed: 23413192
Curr Biol. 2008 Jun 24;18(12):883-9
pubmed: 18571414
Science. 1985 Mar 22;227(4693):1428-34
pubmed: 2983425
Proc Natl Acad Sci U S A. 2002 Aug 20;99(17):11260-4
pubmed: 12177415
Evolution. 2010 May;64(5):1202-17
pubmed: 20148954
Hum Mutat. 2011 Aug;32(8):894-9
pubmed: 21520341
Nat Rev Genet. 2009 Nov;10(11):783-96
pubmed: 19834483
J Chronic Dis. 1987;40(5):373-83
pubmed: 3558716
Nat Rev Mol Cell Biol. 2014 Dec;15(12):786-801
pubmed: 25415508
Genome Biol. 2016 Jul 28;17(1):164
pubmed: 27468897
Nat Genet. 2004 Apr;36(4):388-93
pubmed: 15052270
Bioinformatics. 2011 Aug 1;27(15):2156-8
pubmed: 21653522
Nat Commun. 2019 Jan 18;10(1):330
pubmed: 30659175
Science. 2002 May 10;296(5570):1029-31
pubmed: 12004104
BMC Genet. 2014 Dec 29;15:159
pubmed: 25543667
Proc Natl Acad Sci U S A. 2011 Dec 20;108(51):20666-71
pubmed: 22143780
Nat Genet. 2014 Mar;46(3):310-5
pubmed: 24487276
PLoS Comput Biol. 2012;8(12):e1002822
pubmed: 23300413
Biometrics. 1999 Dec;55(4):997-1004
pubmed: 11315092
Genome Res. 2009 Sep;19(9):1655-64
pubmed: 19648217
Diabetologia. 2016 Jun;59(6):1214-21
pubmed: 26961502
Mol Biol Evol. 2016 Jan;33(1):245-54
pubmed: 26464126
Proc Biol Sci. 1995 Jun 22;260(1359):245-9
pubmed: 7630893
Health Aff (Millwood). 2013 Oct;32(10):1698-705
pubmed: 24101058
Cell. 2016 May 5;165(4):1002-11
pubmed: 27114037
Cancer Cell. 2010 Mar 16;17(3):273-85
pubmed: 20227041
Hum Mol Genet. 2007 Jan 15;16(2):233-41
pubmed: 17220173
PLoS One. 2011 May 04;6(5):e19166
pubmed: 21573225
J Clin Epidemiol. 2006 Aug;59(8):849-55
pubmed: 16828679

Auteurs

Ke Xu (K)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. kxu101@gmail.com.
Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. kxu101@gmail.com.
Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY, USA. kxu101@gmail.com.
Present Address: Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, USA. kxu101@gmail.com.

Roman Kosoy (R)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Khader Shameer (K)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Present Address: Advanced Analytics Center, AstraZeneca, Gaithersburg, MD, USA.

Sudhir Kumar (S)

Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, USA.
Department of Biology, Temple University, Philadelphia, PA, USA.
Center for Excellence in Genome Medicine and Research, King Abdulaziz University, Jeddah, Saudi Arabia.

Li Liu (L)

Department of Biomedical Informatics, Arizona State University, Tempe, AZ, USA.

Ben Readhead (B)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Present Address: ASU-Banner Neurodegenerative Disease Research Center, Arizona State University, Tempe, AZ, USA.

Gillian M Belbin (GM)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Hao-Chih Lee (HC)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Rong Chen (R)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Joel T Dudley (JT)

Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA. joel.dudley@mssm.edu.
Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. joel.dudley@mssm.edu.
Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, New York, NY, USA. joel.dudley@mssm.edu.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH