| 1. |
- Jang, Seon-Kyeong, et al.
(författare)
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Rare genetic variants explain missing heritability in smoking.
- 2022
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Ingår i: Nature human behaviour. - : Springer Science and Business Media LLC. - 2397-3374. ; 6:11, s. 1577-1586
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Tidskriftsartikel (refereegranskat)abstract
- Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this 'missing heritability'. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74% of it attributable to rare variants with minor allele frequencies between 0.01% and 1%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60% to 100% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking.
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| 2. |
- Lai, Heidi T. M., et al.
(författare)
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Trans Fatty Acid Biomarkers and Incident Type 2 Diabetes : Pooled Analysis of 12 Prospective Cohort Studies in the Fatty Acids and Outcomes Research Consortium (FORCE)
- 2022
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Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 45:4, s. 854-863
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: Trans fatty acids (TFAs) have harmful biologic effects that could increase the risk of type 2 diabetes (T2D), but evidence remains uncertain. We aimed to investigate the prospective associations of TFA biomarkers and T2D by conducting an individual participant-level pooled analysis.RESEARCH DESIGN AND METHODS: We included data from an international consortium of 12 prospective cohorts and nested case-control studies from six nations. TFA biomarkers were measured in blood collected between 1990 and 2008 from 25,126 participants aged >= 18 years without prevalent diabetes. Each cohort conducted de novo harmonized analyses using a prespecified protocol, and findings were pooled using inverse-variance weighted meta-analysis. Heterogeneity was explored by prespecified between-study and within-study characteristics.RESULTS: During a mean follow-up of 13.5 years, 2,843 cases of incident T2D were identified. In multivariable-adjusted pooled analyses, no significant associations with T2D were identified for trans/trans-18:2, relative risk (RR) 1.09 (95% CI 0.94-1.25); cis/trans-18:2, 0.89 (0.73-1.07); and trans/cis-18:2, 0.87 (0.73-1.03). Trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated with T2D (RR 0.81 [95% CI 0.67-0.99], 0.86 [0.75-0.99], and 0.84 [0.74-0.96], respectively). Findings were not significantly different according to prespecified sources of potential heterogeneity (each P >= 0.1).CONCLUSIONS: Circulating individual trans-18:2 TFA biomarkers were not associated with risk of T2D, while trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated. Findings may reflect the influence of mixed TFA sources (industrial vs. natural ruminant), a general decline in TFA exposure due to policy changes during this period, or the relatively limited range of TFA levels.
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| 3. |
- Murphy, Rachel A, et al.
(författare)
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Omega-3 and omega-6 polyunsaturated fatty acid biomarkers and sleep : a pooled analysis of cohort studies On behalf of the Fatty Acids and Outcomes Research Consortium (FORCE).
- 2022
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Ingår i: American Journal of Clinical Nutrition. - : Oxford University Press (OUP). - 0002-9165 .- 1938-3207. ; 115:3, s. 864-876
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: n-3 and n-6 polyunsaturated fatty acids (PUFAs) have physiologic roles in sleep processes, but little is known regarding circulating n-3 and n-6 PUFA and sleep parameters.OBJECTIVES: To assess associations between biomarkers of n-3 and n-6 PUFA intake with self-reported sleep duration and difficulty falling sleeping in the Fatty Acids and Outcome Research Consortium.METHODS: Harmonized, de novo, individual-level analyses were performed and pooled across 12 cohorts. Participants were between 35 to 96 years old and from 5 nations. Circulating measures included alpha-linolenic acid (ALA), eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), docosahexaenoic acid (DHA), EPA + DPA + DHA, linoleic acid and arachidonic acid. Sleep duration (10 cohorts, N = 18,791) was categorized as short (≤6 hours), 7-8 hours (reference) or long (9 + hours). Difficulty falling sleeping (8 cohorts, N = 12,500) was categorized as yes or no. Associations between PUFAs, sleep duration, and difficulty falling sleeping were assessed by cross-sectional multinomial logistic regression using standardized protocols and covariates. Cohort-specific multivariable-adjusted odds ratios (ORs) per quintile of PUFAs were pooled with inverse-variance weighted meta-analysis.RESULTS: In pooled analysis adjusted for sociodemographics and health status, participants with higher very long-chain n-3 PUFAs were less likely to have long sleep duration. Comparing top vs. bottom quintiles, the multivariable-adjusted OR (95% confidence interval, CI) for long-sleep was 0.78 (0.65, 0.95) for DHA and for EPA + DPA + DHA, 0.76 (0.63, 0.93). Significant associations were not identified for ALA and n-6 PUFA with short sleep duration, or difficulty falling sleeping.CONCLUSIONS: Participants with higher levels of very long-chain n-3 PUFAs were less likely to have long sleep duration. While objective biomarkers reduce recall bias and misclassification, the cross-sectional design limits assessment of the temporal nature of this relationship. These novel findings across 12 cohorts highlight the need for experimental and biological assessments of very long-chain n-3 PUFAs and sleep duration.
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