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Dean Pomerleau posted a topic in CR PracticeAll, One of the initial motivations for studying the possible benefits of the Omega-3s PUFAs DHA & EPA came from observations that the Inuits of Greenland, whose diet contains a very high proportion of polyunsaturated fat from cold-water fish and marine mammals, suffer from relatively low rates of cardiovascular disease. But randomized control trials of the benefits of DHA / EPA supplements for (primary or secondary) prevention of cardiovascular disease have generally been disappointing (e.g. ). This new study  in Science, might suggest at least part of the explanation for this apparent paradox. That paper used population-genetic analysis of Greenland Inuits to discover regions of two chromosomes that seem to have experienced strong selection in the recent past. Those regions also happen to contain genes involved in fatty acid metabolism; and the variants of the genes that have increased in frequency in Inuits are also associated with small stature and lower weight. From the abstract: By analyzing membrane lipids, we found that the selected alleles modulate fatty acid composition, which may affect the regulation of growth hormones. Thus, the Inuit have genetic and physiological adaptations to a diet rich in PUFAs. In an accompanying commentary, there is a fascinating map of relatively recent human genetic variations and where they occur around the world (click to enlarge): The one that isn't shown that I find very interesting is the salivary amylase gene (AMY1) for digesting starch. Several studies (e.g. ) have found that the number of duplicates of the AMY1 a person has can vary from 2 to about 15 from one individual to the next. The more AMY1 copies you have, the better you are at digesting starch / carbohydrates, and the less prone you are to obesity . Study  looked at how the number of AMY1 copies varied between people of different ethnic groups and found a striking correlation between the amount of starch in their ancestral diet and the number of AMY1 copies their genome contained. Here is that result illustrated on a map (click to enlarge): In short, it appears that in cultures whose ancestral diet contained a large fraction of carbohydrates, more copies of the AMY1 gene were selected for since it helped them better process carbs. The bottom line appears to be that there is no "one size fits all" diet that is right for everyone. To some extent at least, the best diet for an individual depends on his/her genes. --Dean --------------------------------  Arch Intern Med. 2012 May 14;172(9):686-94. doi: 10.1001/archinternmed.2012.262. Efficacy of omega-3 fatty acid supplements (eicosapentaenoic acid and docosahexaenoic acid) in the secondary prevention of cardiovascular disease: a meta-analysis of randomized, double-blind, placebo-controlled trials. Kwak SM(1), Myung SK, Lee YJ, Seo HG; Korean Meta-analysis Study Group. Collaborators: Myung SK, Ju W, Oh SW, Bae JH, Kim YK, Park CH, Jeon YJ, Lee EH, Chang YJ, Park SM, Eom CS, Lee YJ, Jung HS, Kwak SM. BACKGROUND: Although previous randomized, double-blind, placebo-controlled trials reported the efficacy of omega-3 fatty acid supplements in the secondary prevention of cardiovascular disease (CVD), the evidence remains inconclusive. Using a meta-analysis, we investigated the efficacy of eicosapentaenoic acid and docosahexaenoic acid in the secondary prevention of CVD. METHODS: We searched PubMed, EMBASE, and the Cochrane Library in April 2011. Two of us independently reviewed and selected eligible randomized controlled trials. RESULTS: Of 1007 articles retrieved, 14 randomized, double-blind, placebo-controlled trials (involving 20 485 patients with a history of CVD) were included in the final analyses. Supplementation with omega-3 fatty acids did not reduce the risk of overall cardiovascular events (relative risk, 0.99; 95% CI, 0.89-1.09), all-cause mortality, sudden cardiac death, myocardial infarction, congestive heart failure, or transient ischemic attack and stroke. There was a small reduction in cardiovascular death (relative risk, 0.91; 95% CI, 0.84-0.99), which disappeared when we excluded a study with major methodological problems. Furthermore, no significant preventive effect was observed in subgroup analyses by the following: country location, inland or coastal geographic area, history of CVD, concomitant medication use, type of placebo material in the trial, methodological quality of the trial, duration of treatment, dosage of eicosapentaenoic acid or docosahexaenoic acid, or use of fish oil supplementation only as treatment. CONCLUSION: Our meta-analysis showed insufficient evidence of a secondary preventive effect of omega-3 fatty acid supplements against overall cardiovascular events among patients with a history of cardiovascular disease. PMID: 22493407 -----------------  Science. 2015 Sep 18;349(6254):1343-1347. Greenlandic Inuit show genetic signatures of diet and climate adaptation. Fumagalli M(1), Moltke I(2), Grarup N(3), Racimo F(4), Bjerregaard P(5), Jørgensen ME(6), Korneliussen TS(7), Gerbault P(8), Skotte L(2), Linneberg A(9), Christensen C(10), Brandslund I(11), Jørgensen T(12), Huerta-Sánchez E(13), Schmidt EB(14), Pedersen O(3), Hansen T(15), Albrechtsen A(16), Nielsen R(17). The indigenous people of Greenland, the Inuit, have lived for a long time in the extreme conditions of the Arctic, including low annual temperatures, and with a specialized diet rich in protein and fatty acids, particularly omega-3 polyunsaturated fatty acids (PUFAs). A scan of Inuit genomes for signatures of adaptation revealed signals at several loci, with the strongest signal located in a cluster of fatty acid desaturases that determine PUFA levels. The selected alleles are associated with multiple metabolic and anthropometric phenotypes and have large effect sizes for weight and height, with the effect on height replicated in Europeans. By analyzing membrane lipids, we found that the selected alleles modulate fatty acid composition, which may affect the regulation of growth hormones. Thus, the Inuit have genetic and physiological adaptations to a diet rich in PUFAs. Copyright © 2015, American Association for the Advancement of Science. PMID: 26383953 -----------------  Nat Genet. 2014 May;46(5):492-7. doi: 10.1038/ng.2939. Epub 2014 Mar 30. Low copy number of the salivary amylase gene predisposes to obesity. Falchi M(1), El-Sayed Moustafa JS(2), Takousis P(3), Pesce F(4), Bonnefond A(5), Andersson-Assarsson JC(6), Sudmant PH(7), Dorajoo R(8), Al-Shafai MN(9), Bottolo L(10), Ozdemir E(3), So HC(11), Davies RW(12), Patrice A(13), Dent R(14), Mangino M(15), Hysi PG(15), Dechaume A(16), Huyvaert M(16), Skinner J(17), Pigeyre M(18), Caiazzo R(18), Raverdy V(13), Vaillant E(16), Field S(19), Balkau B(20), Marre M(21), Visvikis-Siest S(22), Weill J(23), Poulain-Godefroy O(16), Jacobson P(24), Sjostrom L(24), Hammond CJ(15), Deloukas P(25), Sham PC(11), McPherson R(26), Lee J(27), Tai ES(28), Sladek R(29), Carlsson LM(24), Walley A(30), Eichler EE(31), Pattou F(18), Spector TD(32), Froguel P(33). Comment in Nat Rev Endocrinol. 2014 Jun;10(6):312. Common multi-allelic copy number variants (CNVs) appear enriched for phenotypic associations compared to their biallelic counterparts. Here we investigated the influence of gene dosage effects on adiposity through a CNV association study of gene expression levels in adipose tissue. We identified significant association of a multi-allelic CNV encompassing the salivary amylase gene (AMY1) with body mass index (BMI) and obesity, and we replicated this finding in 6,200 subjects. Increased AMY1 copy number was positively associated with both amylase gene expression (P = 2.31 × 10(-14)) and serum enzyme levels (P < 2.20 × 10(-16)), whereas reduced AMY1 copy number was associated with increased BMI (change in BMI per estimated copy = -0.15 (0.02) kg/m(2); P = 6.93 × 10(-10)) and obesity risk (odds ratio (OR) per estimated copy = 1.19, 95% confidence interval (CI) = 1.13-1.26; P = 1.46 × 10(-10)). The OR value of 1.19 per copy of AMY1 translates into about an eightfold difference in risk of obesity between subjects in the top (copy number > 9) and bottom (copy number < 4) 10% of the copy number distribution. Our study provides a first genetic link between carbohydrate metabolism and BMI and demonstrates the power of integrated genomic approaches beyond genome-wide association studies. PMID: 24686848 -------------------------  Perry, G. H., Dominy, N. J., Claw, K. G., Lee, A. S., Fiegler, H., Redon, R., et al. (2007). Diet and the evolution of human amylase gene copy number variation. [10.1038/ng2123]. Nat Genet, 39(10), 1256-1260.
All, Here is an interesting new study  (popular press story) that I appreciated as much for its data as its conclusions. In it, researchers identified a group of ~1400 "Wellderly" individuals - which they defined as: ndividuals who are >80 years old with no chronic diseases and who are not taking chronic medications. As you might imagine, these folks are pretty rare, and so they wanted to compare their genomes with those of an average population of elderly people. But first, they did an interesting thing - they compared the longevity of the siblings of the Wellderly cohort (who share a lot of genetics, and probably some lifestyle factors too, with the Wellderly folks) to see how their lifespan compares with the average US population. Here are the "survival curves" for the Wellderly siblings (red) vs. average folks (blue): As you can see, the Wellderly siblings had a more square mortality curve, but their survival curve wasn't shifted right - i.e. their "maximum lifespan" wasn't any longer than the average folks. Instead, both curves hit (near) zero around 100 years. Like the Wellderly themselves, their siblings appear to avoid / postpone the diseases of aging, and so do better in the "middle years" of elderliness (65-85), but beyond that have a mortality rate similar to the population as a whole. They then looked at the Wellderly folks' genetics. Interestingly, they didn't find their genomes to be particularly enriched with so-called "longevity genes" - those that have been identified as more common in centenarians or other very long-lived people. In other words, these folks are healthy agers, but don't seem to be blessed with genes for extreme longevity, which I thought was interesting. It suggests that at least to some degree healthy aging and extreme longevity are distinct, based both on the (sibling) survival curve data and their own genetics. Here is how the authors summarized this part of their findings: [O]ur results suggest that healthy aging is a genetically overlapping but divergent phenotype from exceptional longevity and that the healthy aging phenotype is potentially enriched for heritable components of both reduced risk of age-associated disease and resistance to age-associated disease. I'm curious what Michael would say, but it seems like this apparent distinction between disease avoidance and extreme longevity might undermine to some degree the SENS hypothesis - that aging simple is the accumulation of damage from the diseases of aging. Note: that is my potentially inaccurate summary of the SENS hypothesis... But what I found personally most interesting and helpful from this paper were two of their tables, listing the various genetic markers they tested for both longevity and Alzheimer's disease (AD). They quite explicitly listed the SNPs and which alleles of those SNPs are associated with longevity or AD. I've reproduced the two tables below, and added my own data, a friend's 23andMe data I have access to, and links to 23andMe so that any other 23andMe customers can check their own status for the corresponding SNPs. I've even added a tally at the bottom of each table with a genetic "score" - basically the number of "good" alleles one carries minus (in the case of the AD table) the number of "bad" alleles one carries. Although in the case of AD, it was the evil APOE4 allele that dominated - i.e. the biggest difference between the genes of the "Wellderly" folks and the average population was that the Wellderly were a lot less likely to carry APOE4 alleles. Anyway, here are the tables. First, the table with the SNPs and alleles previously identified (via other studies) to be associated with increased longevity. The "Longevity Allele" column shows that variant of the SNP that has been shown to be associated with increased longevity. The second column shows the gene the SNP is part of - as you can see many familiar names, including FOXO3, SIRT1, IL-6, IGF1, AKT (all of which I note have been associated with both CR and Cold Exposure in one way or another). The green letters show when I or "Person X" are carriers for the "good" longevity allele: Here are "live" links to the 23andMe page for each SNP so 23andMe customers can check their own results on these SNPs: https://www.23andme.com/you/explorer/snp/?snp_name=rs2802292 https://www.23andme.com/you/explorer/snp/?snp_name=rs1935949 https://www.23andme.com/you/explorer/snp/?snp_name=rs3758391 https://www.23andme.com/you/explorer/snp/?snp_name=rs5882 https://www.23andme.com/you/explorer/snp/?snp_name=rs1042522 https://www.23andme.com/you/explorer/snp/?snp_name=rs1800795 https://www.23andme.com/you/explorer/snp/?snp_name=rs2811712 https://www.23andme.com/you/explorer/snp/?snp_name=rs34516635 https://www.23andme.com/you/explorer/snp/?snp_name=rs2542052 https://www.23andme.com/you/explorer/snp/?snp_name=rs3803304 Here is the same sort of table, but this time for SNPs and Alleles associated with Alzheimer's disease and/or cognitive decline. Note, the last SNP in the table is the dreaded APOE4. As you can see from the p-value column, the APOE4 allele was far and away the most significant predictor of AD/cognitive decline, and the Wellderly had it less frequently that the general population (the column labelled "ITMI A2 Freq"). Also not that unlike the longevity SNPs, 23andMe didn't have data for many of the AD-related SNPs. Once again, the green letters show when I or "Person X" are carriers for the "good" allele (for avoiding AD) or and red letters show where one of us is a carrier for the "bad" allele (increasing risk of AD): Here are the direct links to 23andMe for the subset of SNPs from the table that were available (at least for me): https://www.23andme.com/you/explorer/snp/?snp_name=rs190982 https://www.23andme.com/you/explorer/snp/?snp_name=rs2718058 https://www.23andme.com/you/explorer/snp/?snp_name=rs1476679 https://www.23andme.com/you/explorer/snp/?snp_name=rs11771145 https://www.23andme.com/you/explorer/snp/?snp_name=rs11218343 https://www.23andme.com/you/explorer/snp/?snp_name=rs17125944 https://www.23andme.com/you/explorer/snp/?snp_name=rs10498633 https://www.23andme.com/you/explorer/snp/?snp_name=rs2075650 As you can see, for both the longevity SNPs and the AD SNPs, my score is a bit better than the score for my friend, "Person X" - so I got that goin' for me. And they are an unfortunate carrier of one APOE4 allele. ☹ To wrap up, the researchers also also found that a few of the Wellderly folks were enriched with an ultra-rare variants of a gene that seems to be especially protective against AD, called COL25A1 but I couldn't figure out what SNPs or alleles they were talking about. As always, these genetic marker studies need to be taken with a grain of salt. But it was fun to see where I and "Person X" stand regarding all these variants. I'd be curious if anyone else would be willing to share their data, or at least their "scores". --Dean -------  Cell (2016), http://dx.doi.org/10.1016/j.cell.2016.03.022 Whole-Genome Sequencing of a Healthy Aging Cohort Galina A. Erikson5, Dale L. Bodian5, Manuel Rueda, Bhuvan Molparia, Erick R. Scott, Ashley A. Scott-Van Zeeland, Sarah E. Topol, Nathan E. Wineinger, John E. Niederhuber, Eric J. Topol6, Ali Torkamani6 Free full text: http://www.cell.com/cell/pdf/S0092-8674(16)30278-1.pdf Summary Studies of long-lived individuals have revealed few genetic mechanisms for protection against age-associated disease. Therefore, we pursued genome sequencing of a related phenotype—healthy aging—to understand the genetics of disease-free aging without medical intervention. In contrast with studies of exceptional longevity, usually focused on centenarians, healthy aging is not associated with known longevity variants, but is associated with reduced genetic susceptibility to Alzheimer and coronary artery disease. Additionally, healthy aging is not associated with a decreased rate of rare pathogenic variants, potentially indicating the presence of disease-resistance factors. In keeping with this possibility, we identify suggestive common and rare variant genetic associations implying that protection against cognitive decline is a genetic component of healthy aging. These findings, based on a relatively small cohort, require independent replication. Overall, our results suggest healthy aging is an overlapping but distinct phenotype from exceptional longevity that may be enriched with disease-protective genetic factors. PMID: Unavailable