Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease
Open accessAbstract
BACKGROUND: Both genetic and lifestyle factors contribute to individual-level risk of coronary artery disease. The extent to which increased genetic risk can be offset by a healthy lifestyle is unknown. METHODS: Using a polygenic score of DNA sequence polymorphisms, we quantified genetic risk for coronary artery disease in three prospective cohorts - 7814 participants in the Atherosclerosis Risk in Communities (ARIC) study, 21,222 in the Women's Genome Health Study (WGHS), and 22,389 in the Malmö Diet and Cancer Study (MDCS) - and in 4260 participants in the cross-sectional BioImage Study for whom genotype and covariate data were available. We also determined adherence to a healthy lifestyle among the participants using a scoring system consisting of four factors: no current smoking, no obesity, regular physical activity, and a healthy diet. RESULTS: The relative risk of incident coronary events was 91% higher among participants at high genetic risk (top quintile of polygenic scores) than among those at low genetic risk (bottom quintile of polygenic scores) (hazard ratio, 1.91; 95% confidence interval [CI], 1.75 to 2.09). A favorable lifestyle (defined as at least three of the four healthy lifestyle factors) was associated with a substantially lower risk of coronary events than an unfavorable lifestyle (defined as no or only one healthy lifestyle factor), regardless of the genetic risk category. Among participants at high genetic risk, a favorable lifestyle was associated with a 46% lower relative risk of coronary events than an unfavorable lifestyle (hazard ratio, 0.54; 95% CI, 0.47 to 0.63). This finding corresponded to a reduction in the standardized 10-year incidence of coronary events from 10.7% for an unfavorable lifestyle to 5.1% for a favorable lifestyle in ARIC, from 4.6% to 2.0% in WGHS, and from 8.2% to 5.3% in MDCS. In the BioImage Study, a favorable lifestyle was associated with significantly less coronary-artery calcification within each genetic risk category. CONCLUSIONS: Across four studies involving 55,685 participants, genetic and lifestyle factors were independently associated with susceptibility to coronary artery disease. Among participants at high genetic risk, a favorable lifestyle was associated with a nearly 50% lower relative risk of coronary artery disease than was an unfavorable lifestyle. (Funded by the National Institutes of Health and others.).
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- Findingown data
In the BioImage Study, a favorable lifestyle was associated with significantly less coronary-artery calcification within each genetic risk category.
“In the BioImage Study, a favorable lifestyle was associated with significantly less coronary-artery calcification within each genetic risk category.”
- Also stated in: § Results · plain
“Within each subgroup of genetic risk, a significant trend was observed toward decreased coronaryartery calcification among participants who were more adherent to a healthy lifestyle (Fig. 4).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Among people at high genetic risk, a favorable lifestyle was associated with a 46% lower relative risk of coronary events than an unfavorable lifestyle, with a hazard ratio of 0.54 (95% CI, 0.47 to 0.63).
“Among participants at high genetic risk, a favorable lifestyle was associated with a 46% lower relative risk of coronary events than an unfavorable lifestyle (hazard ratio, 0.54; 95% CI, 0.47 to 0.63).”
- Also stated in: § Results · plain
“Adherence to a favorable lifestyle, as compared with an unfavorable lifestyle, was associated with a 45% lower relative risk among participants at low genetic risk, a 47% lower relative risk among those at intermediate genetic risk, and a 46% lower relative risk (hazard ratio, 0.54; 95% CI, 0.47 to 0.63) among those at high genetic risk.”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
A favorable lifestyle, defined as at least three of four healthy factors, was associated with a substantially lower risk of coronary events than an unfavorable lifestyle, defined as no or one factor, regardless of genetic risk category.
“A favorable lifestyle (defined as at least three of the four healthy lifestyle factors) was associated with a substantially lower risk of coronary events than an unfavorable lifestyle (defined as no or only one healthy lifestyle factor), regardless of the genetic risk category.”
- Also stated in: § Discussion · plain
“However, within any genetic risk category, adherence to a healthy lifestyle was associated with a significantly decreased risk of both clinical coronary events and subclinical burden of coronary artery disease.”
Quote in the paperSubstantial claim - Also stated in: § Discussion · plain
- Findingown data
Across three cohorts, people in the top quintile of a polygenic score had a 91% higher relative risk of incident coronary events than those in the bottom quintile, with a hazard ratio of 1.91 (95% CI, 1.75 to 2.09).
“The relative risk of incident coronary events was 91% higher among participants at high genetic risk (top quintile of polygenic scores) than among those at low genetic risk (bottom quintile of polygenic scores) (hazard ratio, 1.91; 95% confidence interval [CI], 1.75 to 2.09).”
- Also stated in: § Results · plain
“Across all three cohorts, the relative risk of incident coronary events was 91% higher among participants at high genetic risk than among those at low genetic risk (hazard ratio, 1.91; 95% CI, 1.75 to 2.09).”
Quote in the paperSubstantial claim - Also stated in: § Results · plain
- Findingown data
Similar patterns were observed after excluding coronary revascularization from the composite end point.
“Similar patterns were noted after the exclusion of coronary revascularization from the composite end point (Fig. S4 in the Supplementary Appendix).”
Quote in the paperNot a substantial claim
- Findingown data
In the BioImage Study, the standardized calcification score was 46 Agatston units among people at high genetic risk versus 21 Agatston units among those at low genetic risk (P<0.001).
“The standardized calcification score was 46 Agatston units (95% CI, 39 to 54) among participants at high genetic risk, as compared with 21 Agatston units (95% CI, 18 to 25) among those at low genetic risk (P<0.001).”
Quote in the paperSubstantial claim - Findingown data
Similar findings were observed among black participants and white participants in the ARIC cohort.
“Despite a paucity of well-validated genetic loci in black populations, we observed similar findings among black participants and white participants in the ARIC cohort (Fig. S6 in the Supplementary Appendix).”
Quote in the paperSubstantial claim - Findingown data
An unfavorable lifestyle was associated with a higher risk of coronary events than a favorable lifestyle, with adjusted hazard ratios of 1.71 in ARIC, 2.27 in WGHS, and 1.77 in MDCS.
“An unfavorable lifestyle was associated with a higher risk of coronary events than a favorable lifestyle, with an adjusted hazard ratio of 1.71 (95% CI, 1.47 to 1.98) in the ARIC cohort, 2.27 (95% CI, 1.92 to 2.67) in the WGHS cohort, and 1.77 (95% CI, 1.61 to 1.95) in the MDCS cohort (Fig. 1, and Fig. S3 in the Supplementary Appendix).”
Quote in the paperSubstantial claim - Findingown data
Within each genetic risk category, lifestyle factors were strong predictors of coronary events.
“Within each category of genetic risk, lifestyle factors were strong predictors of coronary events (Fig. 2).”
Quote in the paperSubstantial claim - Findingown data
LDL cholesterol levels were modestly increased across genetic risk categories within each cohort.
“Levels of low-density lipoprotein (LDL) cholesterol were modestly increased across categories of genetic risk within each cohort.”
Quote in the paperNot a substantial claim - Findingown data
Genetic risk categories and lifestyle risk categories were mutually independent within each cohort.
“Categories of genetic and lifestyle risk were mutually independent within each cohort (Fig. S1 in the Supplementary Appendix).”
Quote in the paperSubstantial claim - Findingown data
The absolute risk reduction associated with adherence to a healthy lifestyle was greatest in the group at high genetic risk.
“Although the absolute risk reduction that was associated with adherence to a healthy lifestyle was greatest in the group at high genetic risk, our results support public health efforts that emphasize a healthy lifestyle for everyone.”
Quote in the paperNot a substantial claim - Findingown data
Coronary risk increased among participants with fewer healthy lifestyle factors within each cohort.
“Coronary risk increased among participants with fewer healthy lifestyle factors within each cohort (Table S11 in the Supplementary Appendix).”
Quote in the paperSubstantial claim - Findingown data
In the BioImage Study, the calcification score was higher among people with an unfavorable lifestyle than among those with a favorable lifestyle: 46 Agatston units versus 28 Agatston units (P<0.001).
“The calcification score was similarly higher among participants with an unfavorable lifestyle than among those with a favorable lifestyle: 46 Agatston units (95% CI, 40 to 53) versus 28 Agatston units (95% CI, 25 to 31) (P<0.001).”
Quote in the paperSubstantial claim - Findingown data
A polygenic risk score has robust associations with incident coronary events.
“Our finding that a polygenic risk score has robust associations with incident coronary events is well aligned with previous studies of both primary and secondary prevention populations.16–24”
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- cites [24] Abraham G, Eur Heart J
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- Findingown data
Among people at low genetic risk, a favorable lifestyle was associated with a 45% lower relative risk of coronary events than an unfavorable lifestyle.
“Adherence to a favorable lifestyle, as compared with an unfavorable lifestyle, was associated with a 45% lower relative risk among participants at low genetic risk, a 47% lower relative risk among those at intermediate genetic risk, and a 46% lower relative risk (hazard ratio, 0.54; 95% CI, 0.47 to 0.63) among those at high genetic risk.”
Quote in the paperSubstantial claim - Findingown data
Among people at intermediate genetic risk, a favorable lifestyle was associated with a 47% lower relative risk of coronary events than an unfavorable lifestyle.
“Adherence to a favorable lifestyle, as compared with an unfavorable lifestyle, was associated with a 45% lower relative risk among participants at low genetic risk, a 47% lower relative risk among those at intermediate genetic risk, and a 46% lower relative risk (hazard ratio, 0.54; 95% CI, 0.47 to 0.63) among those at high genetic risk.”
Quote in the paperSubstantial claim - Findingown data
After quantifying both genetic and lifestyle risk among 55,685 participants in three prospective cohorts and one cross-sectional study, adherence to a healthy lifestyle was associated with a substantially reduced risk of coronary artery disease within each category of genetic risk.
“In conclusion, after quantifying both genetic and lifestyle risk among 55,685 participants in three prospective cohorts and one cross-sectional study, we found that adherence to a healthy lifestyle was associated with a substantially reduced risk of coronary artery disease within each category of genetic risk.”
Quote in the paperSubstantial claim - Findingown data
Aside from slight differences in LDL cholesterol levels and family history of coronary artery disease, genetic risk was independent of traditionally measured risk factors.
“Aside from slight differences in LDL cholesterol levels and a family history of coronary artery disease, genetic risk was independent of traditionally measured risk factors.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Because adherence to a healthy lifestyle was not randomized, the association of lifestyle factors with the risk of coronary events cannot be taken as a causal relationship.
“First, because adherence to a healthy lifestyle was not randomized, the association of lifestyle factors with the risk of coronary events cannot be taken as a causal relationship.”
Quote in the paperNot a substantial claim - Interpretationown data
A healthy lifestyle was associated with similar relative risk reductions in event rates across each stratum of genetic risk.
“Second, a healthy lifestyle was associated with similar relative risk reductions in event rates across each stratum of genetic risk.”
Quote in the paperSubstantial claim - Premisecitation
People who adhere to a healthy lifestyle have markedly reduced rates of incident cardiovascular events.
“Much evidence has also shown that persons who adhere to a healthy lifestyle have markedly reduced rates of incident cardiovascular events.25–30”
Quote in the paperSubstantial claim0 of 6 sources checked - Interpretationown data
Lifestyle factors may powerfully modify risk regardless of the patient's genetic risk profile.
“However, our results provide evidence that lifestyle factors may powerfully modify risk regardless of the patient’s genetic risk profile.”
Quote in the paperSubstantial claim - Interpretationown data
Inherited DNA variation and lifestyle factors contribute independently to susceptibility to coronary artery disease.
“First, our data indicate that inherited DNA variation and lifestyle factors contribute independently to a susceptibility to coronary artery disease.”
Quote in the paperSubstantial claim
- May combine two claims. 12
- Classified as probably not a substantial claim. 7
May combine two claims.
Findingown dataAcross four studies with 55,685 participants, genetic and lifestyle factors were independently associated with susceptibility to coronary artery disease.
“Across four studies involving 55,685 participants, genetic and lifestyle factors were independently associated with susceptibility to coronary artery disease.”
- Also stated in: § Discussion · hedged
“First, our data indicate that inherited DNA variation and lifestyle factors contribute independently to a susceptibility to coronary artery disease.”
Quote in the paperSubstantial claim- Also stated in: § Discussion · hedged
May combine two claims.
Findingown dataIn the three prospective cohorts, among people at high genetic risk, the standardized 10-year incidence of coronary events was lower with a favorable lifestyle than with an unfavorable lifestyle: 5.1% vs 10.7% in ARIC, 2.0% vs 4.6% in WGHS, and 5.3% vs 8.2% in MDCS.
“This finding corresponded to a reduction in the standardized 10-year incidence of coronary events from 10.7% for an unfavorable lifestyle to 5.1% for a favorable lifestyle in ARIC, from 4.6% to 2.0% in WGHS, and from 8.2% to 5.3% in MDCS.”
- Also stated in: § Results · plain
“Among participants at high genetic risk, the standardized 10-year coronary event rates were 10.7% among those with an unfavorable lifestyle and 5.1% among those with a favorable lifestyle in the ARIC cohort, 4.6% and 2.0%, respectively, in the WGHS cohort, and 8.2% and 5.3% in the MDCS cohort (Fig. 3).”
Quote in the paperSubstantial claim- Also stated in: § Results · plain
May combine two claims.
Findingown dataWithin any genetic risk category, adherence to a healthy lifestyle was associated with a significantly decreased risk of both clinical coronary events and subclinical burden of coronary artery disease.
“However, within any genetic risk category, adherence to a healthy lifestyle was associated with a significantly decreased risk of both clinical coronary events and subclinical burden of coronary artery disease.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHigh genetic risk was independent of healthy lifestyle behaviors and was associated with an increased risk of coronary events (hazard ratio, 1.91) and a substantially increased burden of coronary-artery calcification.
“High genetic risk was independent of healthy lifestyle behaviors and was associated with an increased risk (hazard ratio, 1.91) of coronary events and a substantially increased burden of coronary-artery calcification.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataParticipants with an unfavorable lifestyle had higher rates of baseline hypertension and diabetes, a higher body-mass index, and less favorable circulating lipid levels than those with a favorable lifestyle.
“Participants with an unfavorable lifestyle had higher rates of baseline hypertension and diabetes, a higher body-mass index, and less favorable levels of circulating lipids than did those with a favorable lifestyle (Tables S12, S13, and S14 in the Supplementary Appendix).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSelf-reported family history of coronary artery disease was an imperfect surrogate for genotype-defined risk, although its prevalence tended to be higher among people at high genetic risk than among those at low genetic risk.
“A family history of coronary artery disease was an imperfect surrogate for genotype-defined risk, although the prevalence of such a self-reported family history tended to be higher among participants at high genetic risk than among those at low genetic risk.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn each prospective cohort, people at high genetic risk had significantly higher risk of coronary events than those at low genetic risk, with adjusted hazard ratios of 1.75 in ARIC, 1.94 in WGHS, and 1.98 in MDCS.
“A risk gradient was noted across quintiles of genetic risk such that the participants at high genetic risk (i.e., in the top quintile of the polygenic scores) were at significantly higher risk of coronary events than those at low genetic risk (i.e., in the lowest quintile)”
- Also stated in: § Results · plain
“with adjusted hazard ratios of 1.75 (95% confidence interval [CI], 1.46 to 2.10) in the ARIC cohort, 1.94 (95% CI, 1.58 to 2.39) in the WGHS cohort, and 1.98 (95% CI, 1.76 to 2.23) in the MDCS cohort”
Quote in the paperSubstantial claim- Also stated in: § Results · plain
May combine two claims.
Findingown dataIn the BioImage Study, both genetic and lifestyle factors were associated with coronary-artery calcification.
“A cross-sectional analysis of 4260 of 4301 white participants with available data from the BioImage Study showed that both genetic and lifestyle factors were associated with coronaryartery calcification (stratified according to the baseline characteristics in Tables S16 and S17 in the Supplementary Appendix).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong people at low genetic risk, standardized 10-year coronary event rates were 5.8% for unfavorable lifestyle and 3.1% for favorable in ARIC, 1.8% and 1.2% in WGHS, and 4.7% and 2.6% in MDCS.
“Among participants at low genetic risk, standardized 10-year coronary event rates were 5.8% among those with an unfavorable lifestyle and 3.1% among those with a favorable lifestyle in the ARIC cohort, 1.8% and 1.2%, respectively, in the WGHS cohort, and 4.7% and 2.6% in the MDCS cohort.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGenomewide association analyses since 2007 have identified more than 50 independent loci associated with coronary artery disease risk.
“Since 2007, genomewide association analyses have identified more than 50 independent loci associated with the risk of coronary artery disease.7–15”
Quote in the paperNot a substantial claim0 of 9 sources checked- cites [7] source
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- cites [14] The CARDIoGRAMplusC4D Consortium, 2013, Nat Genet source
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May combine two claims.
PremisecitationGenetic factors and lifestyle factors both contribute to an individual's risk of coronary artery disease.
“Both genetic and lifestyle factors contribute to individual-level risk of coronary artery disease.”
- Also stated in: § CONCLUSIONS · plain
“Both genetic and lifestyle factors are key drivers of coronary artery disease, a complex disorder that is the leading cause of death worldwide.1”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] source
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- Also stated in: § CONCLUSIONS · plain
May combine two claims.
PremisecitationWhen aggregated into a polygenic risk score, these risk alleles predict incident coronary events and give a continuous quantitative measure of genetic susceptibility.
“These risk alleles, when aggregated into a polygenic risk score, are predictive of incident coronary events and provide a continuous and quantitative measure of genetic susceptibility.16–24”
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- cites [24] Abraham G, Eur Heart J
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Study design and conductnone givenWGHS analyses were adjusted for initial trial randomization to aspirin versus placebo and vitamin E versus placebo.
“In addition, WGHS analyses were adjusted for initial trial randomization to aspirin versus placebo and vitamin E versus placebo.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationThe genetic substructure of the population was assessed by calculating the principal components of ancestry.
“The genetic substructure of the population was assessed by calculating the principal components of ancestry.37”
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Study design and conductnone givenPrimary analyses included adjustment for age, sex, self-reported education level, and the first five principal components of ancestry (unavailable in MDCS).
“The primary analyses included adjustment for age, sex, self-reported education level, and the first five principal components of ancestry (unavailable in MDCS).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenInvestigators in each cohort used slightly different methods to assess lifestyle at baseline.
“Second, investigators in each cohort used slightly different methods to assess lifestyle at baseline.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenEnd-point adjudication was performed by a committee review of medical records within each cohort.
“End-point adjudication was performed by a committee review of medical records within each cohort.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Study design and conductnone givenBehavioral changes before or after ascertainment or competing risks of other illnesses may have had an effect on risk estimates.
“Behavioral changes before or after ascertainment or competing risks of other illnesses may have had an effect on risk estimates.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
The degree to which a healthy lifestyle can offset elevated genetic risk is not known.
“The extent to which increased genetic risk can be offset by a healthy lifestyle is unknown.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Existing findings demonstrate a large reduction in prediction utility in non-European populations.
“Those existing findings indeed demonstrate a large reduction in prediction utility in non-European populations11,”
From Clinical use of current polygenic risk scores may exacerbate health disparities (2019) · cites this paper as [11]
The Results (page unavailable) report similar findings among black and white participants in the ARIC cohort, rather than a large reduction in non-European populations. The Discussion (page unavailable) says the risk score was associated with coronary events among black participants, while cautioning that generalizability needs further testing; it does not report a comparative measure of prediction utility. (LLM, conf=0.79)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredA set of 40 variants predicts TG levels in the population of the European part of Russia.
“The weighted polygenic risk score (PRS) was calculated using the β-coefficients from the original article, which previously demonstrated significant associations with TG levels (40 variants predicting TG levels [67]) in the population of the European part of Russia.”
From Spectrum and Prevalence of Rare APOE Variants and Their Association with Familial Dysbetalipoproteinemia (2024) · cites this paper as [67]
The Methods (Polygenic Risk Score; page unavailable) describe a score based on up to 50 variants associated with coronary artery disease, not 40 variants predicting triglyceride (TG) levels. The Methods (Study Populations; page unavailable) identify the study cohorts but no population in European Russia. The paper therefore describes a different score and outcome from those attributed to it. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredPRS are many-fold more accurate in European ancestry individuals than in others, and this disparity is the major ethical and scientific challenge surrounding clinical implementation.
“However, the major ethical and scientific challenge surrounding clinical implementation is that they are many-fold more accurate in European ancestry individuals than others.”
From Clinical use of current polygenic risk scores may exacerbate health disparities (2019) · cites this paper as [11]
The Results (page not provided) note a paucity of well-validated genetic loci in black populations, and the Discussion (page not provided) calls for testing the score in more diverse populations. But the paper reports similar findings among black and white ARIC participants; it does not show that scores are many-fold more accurate in people of European ancestry or identify that disparity as the major ethical and scientific challenge to clinical implementation. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThe scientific basis of the imbalance in PRS accuracy has been demonstrated theoretically, in simulations, and empirically across many traits and diseases.
“The scientific basis of this imbalance has been demonstrated theoretically, in simulations, and empirically across many traits and diseases11–22.”
From Clinical use of current polygenic risk scores may exacerbate health disparities (2019) · cites this paper as [11]
The Methods (Polygenic Risk Score; page unavailable) describe a score for coronary artery disease, and the Results (page unavailable) report similar findings among Black and white participants in one cohort. Searches for ancestry-related differences in PRS accuracy found no passage demonstrating the claimed scientific basis theoretically, in simulations, or empirically across many traits and diseases. (LLM, conf=0.75)
Experimental — accuracy not yet measuredHigh polygenic risk for CAD may be offset by adherence to a healthy lifestyle or cholesterol-lowering statin therapy.
“For example, we previously showed that a high polygenic risk for CAD may be offset by either of two interventions: adherence to a healthy lifestyle or cholesterol-lowering therapy with statin medications.19–21”
From Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations (2018) · cites this paper as [19]
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Flagged first, then by citations
Research works printed but not linked: 1
- Abraham G, Eur Heart J
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Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
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Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association
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Clinical use of current polygenic risk scores may exacerbate health disparities
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The “All of Us” Research Program
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Lipid-associated macrophages control metabolic homeostasis in a Trem2-dependent manner
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Integrative omics for health and disease
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Association of Lifestyle and Genetic Risk With Incidence of Dementia
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Genetics of coronary artery disease: discovery, biology and clinical translation
Khera, A. V., & Kathiresan, S. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2016.160 · Cited by 659 · see citing works
Self-citationNatarajan, P., Young, R., Stitziel, N. O., Padmanabhan, S., Baber, U., Mehran, R., Sartori, S., Fuster, V., Reilly, D. F., Butterworth, A., et al. (2017) · Circulation · doi:10.1161/circulationaha.116.024436 · Cited by 570 · see citing works
Self-citationResponsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps
Polygenic Risk Score Task Force of the International Common Disease Alliance, Adeyemo, A., Balaconis, M. K., Darnes, D. R., Fatumo, S., Granados Moreno, P., Hodonsky, C. J., Inouye, M., Kanai, M., Kato, K., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01549-6 · Cited by 413 · see citing works
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Self-citationCoronary atherosclerosis in indigenous South American Tsimane: a cross-sectional cohort study
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From gut microbiota to host appetite: gut microbiota-derived metabolites as key regulators
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Self-citationObesity, unfavourable lifestyle and genetic risk of type 2 diabetes: a case-cohort study
Schnurr, T. M., Jakupović, H., Carrasquilla, G. D., Ängquist, L., Grarup, N., Sørensen, T. I. A., Tjønneland, A., Overvad, K., Pedersen, O., Hansen, T., et al. (2020) · Diabetologia · doi:10.1007/s00125-020-05140-5 · Cited by 231 · see citing works
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Clinical utility of polygenic risk scores for coronary artery disease
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“These independent effects have been observed for lifestyle in stroke (32), coronary heart disease (33,34), adiposity (35,36), diabetes (37) and breast cancer (38), and for stressful life events in depression (39).”
BackgroundWriting Committee Members, Blumenthal, R. S., Morris, P. B., Gaudino, M., Johnson, H. M., Anderson, T. S., Bittner, V. A., Blankstein, R., Brewer, L. C., Cho, L., et al. (2026) · Circulation · doi:10.1161/cir.0000000000001423 · Cited by 122 · see citing works
Self-citationMulti-Omics Approaches to Define Calcific Aortic Valve Disease Pathogenesis
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Current clinical use of polygenic scores will risk exacerbating health disparities
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- Authors
- Khera, A. V., Emdin, C. A., Drake, I., Natarajan, P., Bick, A. G., Cook, N. R., Chasman, D. I., Baber, U., Mehran, R., Rader, D. J., Fuster, V., Boerwinkle, E., Melander, O., Orho-Melander, M., Ridker, P. M., & Kathiresan, S.
- Affiliations
- Broad Institute (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2016-12-15
- Volume
- 375
- Issue
- 24
- Pages
- 2349-2358
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC5338864
- OpenAlex
- W2549881333
- Semantic Scholar
- 6914fe5d2747eff7681845d6f4fa23f8ec76ac8a
- Cited by
- 1,460
- References
- 39
- Citations by year
- 2026: 119 · 2025: 136 · 2024: 164 · 2023: 218 · 2022: 156 · 2021: 142 · 2020: 136 · 2019: 155 · 2018: 122 · 2017: 102 · 2016: 9
- FWCI
- 104.37
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Funders
- Novo Nordisk Fonden (NNF16OC0021370, NNF13OC0005339, NNF14OC0011049, NNF15OC0016320)
- National Institutes of Health (KL2TR001100)
- National Heart, Lung, and Blood Institute (R01HL127564, T32HL007208)
- National Human Genome Research Institute (UM1HG008895)
- National Cancer Institute (UM1CA182913)
- National Center for Advancing Translational Sciences
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Nutrition, Genetics, and Disease
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Keywords
- coronary artery disease, polygenic risk score, genetic risk, healthy lifestyle, lifestyle modification, coronary events, coronary artery calcification, smoking, obesity, physical activity, diet, DNA polymorphism, gene-environment interaction, cardiovascular risk factors, Atherosclerosis Risk in Communities Study, Malmö Diet and Cancer Study
- MeSH terms
- Healthy Lifestyle, Aged, Coronary Disease, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Patient Compliance, Polymorphism, Genetic, Risk, Cohort Studies, Incidence, Genetic Predisposition to Disease, Multifactorial Inheritance
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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