A claim you hear on longevity podcasts

Is longevity mostly up to you, not your genes?

The claim checked: How long you live isn't mostly down to your genes Hear it at 10:07

What do the studies say?

Strong consensus for

Nine of ten studies put the share of lifespan explained by genes at a minority: under 10% in the largest family-tree study, and about 25 to 30% in twin studies. One twin study put the genetic share of frailty, the risk of dying, at about 0.5.

Computed from 10 studies that test this point, each judged by two readers, in full. 10 more studies are waiting for a full read and do not count yet.

What was said on the podcast?

“Now although some factors such as genetics aren't under our control, there are modifiable behaviors that can support living longer and healthier and improve our gene expression.”
Mark Hyman, The Dr. Hyman Show · 5 Things You Think Are Extending Your Life (That Are Actually Doing Nothing) · 10:07 on YouTube
Episode check Fasting can cost you muscle, the episode says. In six of ten studies, it didn't. 5 claims checked against 79 studies · 1 chapter not checked yet See the whole episode →
Point 1 of 2 Strong consensus for

Genes explain only a minority of how long people live

Agree 9

other primary study · 2019 · landmark

“This difference can partly be explained by the much lower heritability of lifespan (0.12; Kaplanis et al., 2018 ) (cf. 0.8 for height [ Wood et al., 2014 ]), consistent with evolution having a stronger influence on the total heritability of traits more closely related to fitness and limiting effect sizes.”

Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances. Elife
Who: Parents of European-ancestry UK Biobank participants plus 26 LifeGen population cohorts; polygenic score tested in Scotland, England/Wales and Estonia
PMID 30642433

other primary study · 2018

“Considered together with the sibling-in-law results, these analyses consistently and independently indicated t 2 for human longevity to be well under 10% across the birth cohorts examined.”

Estimates of the Heritability of Human Longevity Are Substantially Inflated due to Assortative Mating. Genetics
Who: Historical persons in aggregated public Ancestry family trees, mostly born in the 19th and early 20th centuries
PMID 30401766

other primary study · 2018

“Based on a large number of data points and study designs, we measured an additive component (h2 ≃16%) that is considerably smaller than the value generally cited in the literature of 25%.”

Quantitative analysis of population-scale family trees with millions of relatives. Science
Who: Crowd-sourced genealogy profiles from Geni.com, mostly Europe (55%) and North America (30%), spanning births from ~1400 to the 20th century
PMID 29496957

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other primary study · 2016

“For combined parents age at death, the variance attributed to the measured genotypes was 8.47% (SD=1.06%); for mothers age at death 4.85% (SD=1.01%) and fathers age at death 5.35% (SD=1.04%).”

Human longevity is influenced by many genetic variants: evidence from 75,000 UK Biobank participants. Aging (Albany NY)
Who: White British UK Biobank participants aged 55-70 with genetic data and parental age-at-death data
PMID 27015805

other primary study · 2013

“Studies of mono- and dizygous twins have revealed that the genetic contribution to the variation in human lifespan is about 25–30% 12 , 13 , and is most prominent in families clustered for longevity 14 , 15 .”

Identifying the genomic determinants of aging and longevity in human population studies: progress and challenges. Bioessays
Who: Narrative review of human population studies of aging and longevity (twin studies, long-lived families, cohort and GWAS studies)
PMID 23423909

pooled analysis · 2019

“We estimated the phenotypic variation in lifespan attributable to a genome-wide set of variants to be quite low (between 2 and 8% for different sub-cohorts) and the genetic correlation between maternal and paternal lifespan to be quite high (at least 68%).”

A Prospective Analysis of Genetic Variants Associated with Human Lifespan. G3 (Bethesda)
Who: Consenting AncestryDNA customers linked to public family trees, with parental lifespans (parents mostly born 1900-1930, ~80% US-born); meta-analysed with UK Biobank
PMID 31484785

other primary study · 2024

“The heritability of lifespan has been estimated to be 96 around 16% according to a study with sufficient global scope conducted on large 97 genealogical trees.[2]”

Genetic predisposition, modifiable lifestyles, and their joint effects on human lifespan: evidence from multiple cohort studies. BMJ Evid Based Med
Who: UK Biobank adults of European ancestry recruited 2006-2010 (PRS from LifeGen GWAS of 606,059 parental lifespans; lifestyle weights from 19,484 US NHANES adults)
PMID 38684374

other primary study · 2019

“Overall, our results suggest that the heritability of longevity is upper bounded by ~26%.”

Estimating variance components in population scale family trees. PLoS Genet
Who: Individuals with birth and death dates in Geni.com crowd-sourced genealogical records, after excluding deaths in wars and disasters
PMID 31071088

other primary study · 2019

“Studies estimated the heritability of lifespan between 12% and 25% 1 – 3 and a recent study estimated that the heritability of lifespan was even lower, ~7%, after adjustment for the lifespans of nongenetic (in-law) relatives 4 .”

Longevity defined as top 10% survivors and beyond is transmitted as a quantitative genetic trait. Nat Commun
Who: Three-generation families from the Utah Population Database (US) and LINKS Zeeland (Netherlands); index persons born 1767-1902, with their parents, siblings, spouses and children
PMID 30617297

Partly agree 1

other primary study · 1998

“The esti mate of nar r ow -sense her i tabi l i ty i n fr ai l ty i s about 0.5.”

How heritable is individual susceptibility to death? The results of an analysis of survival data on Danish, Swedish and Finnish twins. Twin Res
Who: Same-sex Danish, Swedish and Finnish twin pairs born 1870-1957 where both twins survived to age 30
PMID 10100811

Disagree 0

None.

Point 2 of 2 Strong consensus for

Healthy behaviors such as not smoking, exercise, diet and limited alcohol are linked to living longer, whatever your genes

All ten studies linked healthy habits such as not smoking and staying active to longer life, by as much as 14 years of life expectancy at age 50. The studies that also measured genes found the link held across genetic risk.

Computed from 10 studies that test this point, each judged by two readers, in full. 3 more studies are waiting for a full read and do not count yet.

Agree 10

other primary study · 2018 · landmark

“In conclusion, we estimate that adherence to a low-risk lifestyle could prolong life expectancy at age 50 by 14.0 and 12.2 years in female and male US adults compared to individuals without any of the low-risk lifestyle factors.”

Impact of Healthy Lifestyle Factors on Life Expectancies in the US Population. Circulation
Who: US female nurses (Nurses' Health Study, aged 30-55 at 1976 enrolment) and male health professionals (Health Professionals Follow-up Study, aged 40-75), mostly white; NHANES 2013-2014 adults aged 50-80 for population prevalence
PMID 29712712

other primary study · 2008 · landmark

“The difference in beta coefficients between a health score of zero versus four was 1.43, that is, equivalent to approximately 14 y in chronological age for mortality risk.”

Combined impact of health behaviours and mortality in men and women: the EPIC-Norfolk prospective population study. PLoS Med
Who: Men and women aged 45-79 in Norfolk, UK (EPIC-Norfolk, 99.5% white) without known cardiovascular disease or cancer at baseline 1993-1997
PMID 18184033

trial or observed group · 2022 · landmark

“The estimated life expectancy at age 30 for individuals with all five low-risk factors was on average 8.8 years longer in men and 8.1 years longer in women than those with 0-1 low-risk factors.”

Healthy lifestyle and life expectancy at age 30 years in the Chinese population: an observational study. Lancet Public Health
Who: Chinese adults aged 30-79 in the China Kadoorie Biobank without baseline CHD, stroke or cancer, combined with national survey prevalence (CNHS 2015) and GBD mortality rates
PMID 35926549

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other primary study · 2023 · landmark

“Participants in the healthy lifestyle group had significantly lower adjusted cumulative mortality rates than those in the unhealthy lifestyle group, with an adjusted HR of 0·60 (95% CI 0·54–0·67) in participants at a low genetic risk and 0·59 (0·54–0·66) in participants at a high genetic risk (figure 2).”

Healthy lifestyle in late-life, longevity genes, and life expectancy among older adults: a 20-year, population-based, prospective cohort study. Lancet Healthy Longev
Who: Chinese adults aged 65 years and older (median age 90) in the Chinese Longitudinal Healthy Longevity Survey, 23 provinces
PMID 37804845

other primary study · 2023 · landmark

“Ideal CVH was associated with lower cardiovascular outcomes and all-cause mortality, with a more pronounced association observed in individuals with high PRS for CVD.”

Relation of Life's Essential 8 to the genetic predisposition for cardiovascular outcomes and all-cause mortality: results from a national prospective cohort. Eur J Prev Cardiol
Who: UK Biobank participants aged 40-69 at recruitment (2006-2010) with genotype data and complete Life's Essential 8 metrics
PMID 37228091

other primary study · 2011

“Having never smoked, healthy diet, adequate physical activity, and moderate alcohol consumption were each significantly associated with a reduced risk of mortality, and the number of these behaviors was inversely associated with the risk for mortality.”

Low-risk lifestyle behaviors and all-cause mortality: findings from the National Health and Nutrition Examination Survey III Mortality Study. Am J Public Health
Who: Nationally representative US participants aged 17 and older in NHANES III (1988-1994), including Whites, African Americans and Mexican Americans
PMID 21852630

other primary study · 2021

“Conclusions Findings from this prospective population-based cohort study suggest an unhealthy lifestyle, based on smoking, having overweight or obesity, having lower diet quality, sub-optimal sleep duration, being less physically active, and higher sedentary time was associated with higher risk of all-cause and CVD mortality and non-fatal CVD events, regardless of genetic CVD risk.”

Unhealthy Lifestyle, Genetics and Risk of Cardiovascular Disease and Mortality in 76,958 Individuals from the UK Biobank Cohort Study. Nutrients
Who: White British UK Biobank adults aged 40-69 without CVD at baseline and with ≥2 online 24-h dietary assessments
PMID 34959842

other primary study · 2022

“Compared to those in the unhealthy lifestyle category, life expectancy of 45-year-old men in the moderate lifestyle category was 2.1 (95% CI 1.9; 2.3) years longer and in the healthy group 4.4 (95% CI 4.1; 4.7) years longer (Table 3 ).”

Healthy lifestyle in older adults and life expectancy with and without heart failure. Eur J Epidemiol
Who: Men and women aged 45 and older (three subcohorts aged ≥55 or ≥45) in the Rotterdam Study, the Netherlands, free of heart failure at baseline
PMID 35083603

other primary study · 2023

“For all-cause mortality, compared to participants with no or one healthy lifestyle factors, the multivariable adjusted HRs were 0.73 (95% CI 0.61, 0.88) for two factors, 0.70 (95% CI 0.57, 0.86) for three factors, and 0.56 (95% CI 0.37, 0.86) for four factors, p -trend < 0.0001 (Table 2 ; Fig.”

Association of a healthy lifestyle with mortality in older people. BMC Geriatr
Who: Initially healthy community-dwelling Australians aged 70 or older in the ASPREE trial and its ALSOP and ASPREE-XT sub-studies, free of cardiovascular disease, dementia and major disability
PMID 37821846

other primary study · 2024

“Genetic and lifestyle factors were independently associated with lifespan.”

Genetic predisposition, modifiable lifestyles, and their joint effects on human lifespan: evidence from multiple cohort studies. BMJ Evid Based Med
Who: UK Biobank adults of European ancestry recruited 2006-2010 (lifestyle weights derived from US NHANES 2005-2018, 19,484 adults; PRS from LifeGen GWAS)
PMID 38684374

Partly agree 0

None.

Disagree 0

None.

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