The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank

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The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank. / Don, Janith; Schork, Andrew J.; Glusman, Gwênlyn; Rappaport, Noa; Cummings, Steve R.; Duggan, David; Raju, Anish; Hellberg, Kajsa-Lotta Georgii; Gunn, Sophia; Monti, Stefano; Perls, Thomas; Lapidus, Jodi; Goetz, Laura H.; Sebastiani, Paola; Schork, Nicholas J.

In: GeroScience, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Don, J, Schork, AJ, Glusman, G, Rappaport, N, Cummings, SR, Duggan, D, Raju, A, Hellberg, K-LG, Gunn, S, Monti, S, Perls, T, Lapidus, J, Goetz, LH, Sebastiani, P & Schork, NJ 2024, 'The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank', GeroScience. https://doi.org/10.1007/s11357-024-01107-1

APA

Don, J., Schork, A. J., Glusman, G., Rappaport, N., Cummings, S. R., Duggan, D., Raju, A., Hellberg, K-L. G., Gunn, S., Monti, S., Perls, T., Lapidus, J., Goetz, L. H., Sebastiani, P., & Schork, N. J. (2024). The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank. GeroScience. https://doi.org/10.1007/s11357-024-01107-1

Vancouver

Don J, Schork AJ, Glusman G, Rappaport N, Cummings SR, Duggan D et al. The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank. GeroScience. 2024. https://doi.org/10.1007/s11357-024-01107-1

Author

Don, Janith ; Schork, Andrew J. ; Glusman, Gwênlyn ; Rappaport, Noa ; Cummings, Steve R. ; Duggan, David ; Raju, Anish ; Hellberg, Kajsa-Lotta Georgii ; Gunn, Sophia ; Monti, Stefano ; Perls, Thomas ; Lapidus, Jodi ; Goetz, Laura H. ; Sebastiani, Paola ; Schork, Nicholas J. / The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank. In: GeroScience. 2024.

Bibtex

@article{cfc1973c69a14485940c347993f096ab,
title = "The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank",
abstract = "Large-scale genome-wide association studies (GWAS) strongly suggest that most traits and diseases have a polygenic component. This observation has motivated the development of disease-specific “polygenic scores (PGS)” that are weighted sums of the effects of disease-associated variants identified from GWAS that correlate with an individual{\textquoteright}s likelihood of expressing a specific phenotype. Although most GWAS have been pursued on disease traits, leading to the creation of refined “Polygenic Risk Scores” (PRS) that quantify risk to diseases, many GWAS have also been pursued on extreme human longevity, general fitness, health span, and other health-positive traits. These GWAS have discovered many genetic variants seemingly protective from disease and are often different from disease-associated variants (i.e., they are not just alternative alleles at disease-associated loci) and suggest that many health-positive traits also have a polygenic basis. This observation has led to an interest in “polygenic longevity scores (PLS)” that quantify the “risk” or genetic predisposition of an individual towards health. We derived 11 different PLS from 4 different available GWAS on lifespan and then investigated the properties of these PLS using data from the UK Biobank (UKB). Tests of association between the PLS and population structure, parental lifespan, and several cancerous and non-cancerous diseases, including death from COVID-19, were performed. Based on the results of our analyses, we argue that PLS are made up of variants not only robustly associated with parental lifespan, but that also contribute to the genetic architecture of disease susceptibility, morbidity, and mortality.",
keywords = "Association analysis, Disease risk, Lifespan, Polygenic longevity score, Polygenic risk score, Variant annotations",
author = "Janith Don and Schork, {Andrew J.} and Gw{\^e}nlyn Glusman and Noa Rappaport and Cummings, {Steve R.} and David Duggan and Anish Raju and Hellberg, {Kajsa-Lotta Georgii} and Sophia Gunn and Stefano Monti and Thomas Perls and Jodi Lapidus and Goetz, {Laura H.} and Paola Sebastiani and Schork, {Nicholas J.}",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2024",
doi = "10.1007/s11357-024-01107-1",
language = "English",
journal = "GeroScience",
issn = "0161-9152",
publisher = "Springer Science+Business Media",

}

RIS

TY - JOUR

T1 - The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank

AU - Don, Janith

AU - Schork, Andrew J.

AU - Glusman, Gwênlyn

AU - Rappaport, Noa

AU - Cummings, Steve R.

AU - Duggan, David

AU - Raju, Anish

AU - Hellberg, Kajsa-Lotta Georgii

AU - Gunn, Sophia

AU - Monti, Stefano

AU - Perls, Thomas

AU - Lapidus, Jodi

AU - Goetz, Laura H.

AU - Sebastiani, Paola

AU - Schork, Nicholas J.

N1 - Publisher Copyright: © The Author(s) 2024.

PY - 2024

Y1 - 2024

N2 - Large-scale genome-wide association studies (GWAS) strongly suggest that most traits and diseases have a polygenic component. This observation has motivated the development of disease-specific “polygenic scores (PGS)” that are weighted sums of the effects of disease-associated variants identified from GWAS that correlate with an individual’s likelihood of expressing a specific phenotype. Although most GWAS have been pursued on disease traits, leading to the creation of refined “Polygenic Risk Scores” (PRS) that quantify risk to diseases, many GWAS have also been pursued on extreme human longevity, general fitness, health span, and other health-positive traits. These GWAS have discovered many genetic variants seemingly protective from disease and are often different from disease-associated variants (i.e., they are not just alternative alleles at disease-associated loci) and suggest that many health-positive traits also have a polygenic basis. This observation has led to an interest in “polygenic longevity scores (PLS)” that quantify the “risk” or genetic predisposition of an individual towards health. We derived 11 different PLS from 4 different available GWAS on lifespan and then investigated the properties of these PLS using data from the UK Biobank (UKB). Tests of association between the PLS and population structure, parental lifespan, and several cancerous and non-cancerous diseases, including death from COVID-19, were performed. Based on the results of our analyses, we argue that PLS are made up of variants not only robustly associated with parental lifespan, but that also contribute to the genetic architecture of disease susceptibility, morbidity, and mortality.

AB - Large-scale genome-wide association studies (GWAS) strongly suggest that most traits and diseases have a polygenic component. This observation has motivated the development of disease-specific “polygenic scores (PGS)” that are weighted sums of the effects of disease-associated variants identified from GWAS that correlate with an individual’s likelihood of expressing a specific phenotype. Although most GWAS have been pursued on disease traits, leading to the creation of refined “Polygenic Risk Scores” (PRS) that quantify risk to diseases, many GWAS have also been pursued on extreme human longevity, general fitness, health span, and other health-positive traits. These GWAS have discovered many genetic variants seemingly protective from disease and are often different from disease-associated variants (i.e., they are not just alternative alleles at disease-associated loci) and suggest that many health-positive traits also have a polygenic basis. This observation has led to an interest in “polygenic longevity scores (PLS)” that quantify the “risk” or genetic predisposition of an individual towards health. We derived 11 different PLS from 4 different available GWAS on lifespan and then investigated the properties of these PLS using data from the UK Biobank (UKB). Tests of association between the PLS and population structure, parental lifespan, and several cancerous and non-cancerous diseases, including death from COVID-19, were performed. Based on the results of our analyses, we argue that PLS are made up of variants not only robustly associated with parental lifespan, but that also contribute to the genetic architecture of disease susceptibility, morbidity, and mortality.

KW - Association analysis

KW - Disease risk

KW - Lifespan

KW - Polygenic longevity score

KW - Polygenic risk score

KW - Variant annotations

U2 - 10.1007/s11357-024-01107-1

DO - 10.1007/s11357-024-01107-1

M3 - Journal article

C2 - 38451433

AN - SCOPUS:85186944724

JO - GeroScience

JF - GeroScience

SN - 0161-9152

ER -

ID: 385504965