@article {817, title = {Population structure, admixture, and aging-related phenotypes in African American adults: the Cardiovascular Health Study.}, journal = {Am J Hum Genet}, volume = {76}, year = {2005}, month = {2005 Mar}, pages = {463-77}, abstract = {

U.S. populations are genetically admixed, but surprisingly little empirical data exists documenting the impact of such heterogeneity on type I and type II error in genetic-association studies of unrelated individuals. By applying several complementary analytical techniques, we characterize genetic background heterogeneity among 810 self-identified African American subjects sampled as part of a multisite cohort study of cardiovascular disease in older adults. On the basis of the typing of 24 ancestry-informative biallelic single-nucleotide-polymorphism markers, there was evidence of substantial population substructure and admixture. We used an allele-sharing-based clustering algorithm to infer evidence for four genetically distinct subpopulations. Using multivariable regression models, we demonstrate the complex interplay of genetic and socioeconomic factors on quantitative phenotypes related to cardiovascular disease and aging. Blood glucose level correlated with individual African ancestry, whereas body mass index was associated more strongly with genetic similarity. Blood pressure, HDL cholesterol level, C-reactive protein level, and carotid wall thickness were not associated with genetic background. Blood pressure and HDL cholesterol level varied by geographic site, whereas C-reactive protein level differed by occupation. Both ancestry and genetic similarity predicted the number and quality of years lived during follow-up, but socioeconomic factors largely accounted for these associations. When the 24 genetic markers were tested individually, there were an excess number of marker-trait associations, most of which were attenuated by adjustment for genetic ancestry. We conclude that the genetic demography underlying older individuals who self identify as African American is complex, and that controlling for both genetic admixture and socioeconomic characteristics will be required in assessing genetic associations with chronic-disease-related traits in African Americans. Complementary methods that identify discrete subgroups on the basis of genetic similarity may help to further characterize the complex biodemographic structure of human populations.

}, keywords = {African Americans, Aged, Aging, Algorithms, Cardiovascular Diseases, Cohort Studies, Female, Genetics, Population, Genotype, Humans, Male, Models, Genetic, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Socioeconomic Factors}, issn = {0002-9297}, doi = {10.1086/428654}, author = {Reiner, Alexander P and Ziv, Elad and Lind, Denise L and Nievergelt, Caroline M and Schork, Nicholas J and Cummings, Steven R and Phong, Angie and Burchard, Esteban Gonz{\'a}lez and Harris, Tamara B and Psaty, Bruce M and Kwok, Pui-Yan} } @article {927, title = {African ancestry, socioeconomic status, and kidney function in elderly African Americans: a genetic admixture analysis.}, journal = {J Am Soc Nephrol}, volume = {17}, year = {2006}, month = {2006 Dec}, pages = {3491-6}, abstract = {

Kidney disease is a major public health problem in the United States that affects African Americans disproportionately. The relative contribution of environmental and genetic factors to the increased burden of kidney disease among African Americans is unknown. The associations of genetic African ancestry and socioeconomic status with kidney function were studied cross-sectionally and longitudinally among 736 community-dwelling African Americans who were aged >65 yr and participating in the Cardiovascular Health Study. Genetic African ancestry was determined by genotyping 24 biallelic ancestry-informative markers and combining this information statistically to generate an estimate of ancestry for each individual. Kidney function was evaluated by cystatin C and estimated GFR (eGFR) using the Modification of Diet in Renal Disease equation. Longitudinal changes in serum creatinine and eGFR were estimated using baseline and follow-up values. In cross-sectional analyses, there was no association between genetic African ancestry and either measure of kidney function (P = 0.36 for cystatin C and 0.68 for eGFR). African ancestry was not associated with change in serum creatinine > or =0.05 mg/dl per yr (odds ratio [OR] 0.94; 95\% confidence interval [CI] 0.83 to 1.06) or with change in eGFR > or =3 ml/min per 1.73 m(2) per yr (OR 1.02; 95\% CI 0.92 to 1.13). In contrast, self reported African-American race was strongly associated with increased risk for kidney disease progression compared with white individuals for change in creatinine (OR 1.77; 95\% CI 1.33 to 2.36) and for change in eGFR (OR 3.21; 95\% CI 2.54 to 4.06). Among self-identified African Americans, low income (< US dollars 8000/yr) was strongly associated with prevalent kidney dysfunction by cystatin C >1.29 g/dl (adjusted OR 2.7; 95\% CI 1.0 to 7.5) or by eGFR <60 ml/min per 1.73 m(2) (adjusted OR 3.2; 95\% CI 1.1 to 9.4) compared with those with incomes >US dollars 35,000/yr. Alleles that are known to be present more frequently in the African ancestral group were not associated with kidney dysfunction or kidney disease progression. Rather, kidney dysfunction in elderly African Americans seems more attributable to differences in environmental and social factors.

}, keywords = {African Americans, Aged, Creatinine, Cross-Sectional Studies, Cystatin C, Cystatins, Disease Progression, Female, Glomerular Filtration Rate, Humans, Kidney Diseases, Linear Models, Longitudinal Studies, Male, Social Class}, issn = {1046-6673}, doi = {10.1681/ASN.2006050493}, author = {Peralta, Carmen A and Ziv, Elad and Katz, Ronit and Reiner, Alex and Burchard, Esteban Gonz{\'a}lez and Fried, Linda and Kwok, Pui-Yan and Psaty, Bruce and Shlipak, Michael} } @article {1104, title = {Association of common genetic variation in the insulin/IGF1 signaling pathway with human longevity.}, journal = {Aging Cell}, volume = {8}, year = {2009}, month = {2009 Aug}, pages = {460-72}, abstract = {

The insulin/IGF1 signaling pathways affect lifespan in several model organisms, including worms, flies and mice. To investigate whether common genetic variation in this pathway influences lifespan in humans, we genotyped 291 common variants in 30 genes encoding proteins in the insulin/IGF1 signaling pathway in a cohort of elderly Caucasian women selected from the Study of Osteoporotic Fractures (SOF). The cohort included 293 long-lived cases (lifespan > or = 92 years (y), mean +/- standard deviation (SD) = 95.3 +/- 2.2y) and 603 average-lifespan controls (lifespan < or = 79y, mean = 75.7 +/- 2.6y). Variants were selected for genotyping using a haplotype-tagging approach. We found a modest excess of variants nominally associated with longevity. Nominally significant variants were then replicated in two additional Caucasian cohorts including both males and females: the Cardiovascular Health Study and Ashkenazi Jewish Centenarians. An intronic single nucleotide polymorphism in AKT1, rs3803304, was significantly associated with lifespan in a meta-analysis across the three cohorts (OR = 0.78 95\%CI = 0.68-0.89, adjusted P = 0.043); two intronic single nucleotide polymorphisms in FOXO3A demonstrated a significant lifespan association among women only (rs1935949, OR = 1.35, 95\%CI = 1.15-1.57, adjusted P = 0.0093). These results demonstrate that common variants in several genes in the insulin/IGF1 pathway are associated with human lifespan.

}, keywords = {Aged, Aged, 80 and over, Female, Follow-Up Studies, Forkhead Box Protein O3, Forkhead Transcription Factors, Genome, Human, Genotype, Humans, Insulin, Insulin-Like Growth Factor I, Longevity, Male, Osteoporosis, Polymorphism, Single Nucleotide, Proto-Oncogene Proteins c-akt, Signal Transduction}, issn = {1474-9726}, doi = {10.1111/j.1474-9726.2009.00493.x}, author = {Pawlikowska, Ludmila and Hu, Donglei and Huntsman, Scott and Sung, Andrew and Chu, Catherine and Chen, Justin and Joyner, Alexander H and Schork, Nicholas J and Hsueh, Wen-Chi and Reiner, Alexander P and Psaty, Bruce M and Atzmon, Gil and Barzilai, Nir and Cummings, Steven R and Browner, Warren S and Kwok, Pui-Yan and Ziv, Elad} } @article {1275, title = {Cerivastatin, genetic variants, and the risk of rhabdomyolysis.}, journal = {Pharmacogenet Genomics}, volume = {21}, year = {2011}, month = {2011 May}, pages = {280-8}, abstract = {

OBJECTIVE: The withdrawal of cerivastatin involved an uncommon but serious adverse reaction, rhabdomyolysis. The bimodal response, rhabdomyolysis in a small proportion of users, points to genetic factors as a potential cause. We conducted a case-control study to evaluate genetic markers for cerivastatin-associated rhabdomyolysis.

METHODS: This study had two components: a candidate gene study to evaluate variants in CYP2C8, UGT1A1, UGT1A3, and SLCO1B1; and a genome-wide association study to identify risk factors in other regions of the genome. A total of 185 rhabdomyolysis cases were frequency matched to statin-using controls from the Cardiovascular Health Study (n=374) and the Heart and Vascular Health Study (n=358). Validation relied on functional studies.

RESULTS: Permutation test results suggested an association between cerivastatin-associated rhabdomyolysis and variants in SLCO1B1 (P=0.002), but not variants in CYP2C8 (P=0.073) or UGTs (P=0.523). An additional copy of the minor allele of SLCO1B1 rs4149056 (p.Val174Ala) was associated with the risk of rhabdomyolysis (odds ratio: 1.89; 95\% confidence interval: 1.40-2.56). In transfected cells, this variant reduced cerivastatin transport by 40\% compared with the reference transporter (P<0.001). The genome-wide association study identified an intronic variant (rs2819742) in the ryanodine receptor 2 gene (RYR2) as significant (P=1.74E-07). An additional copy of the minor allele of the RYR2 variant was associated with a reduced risk of rhabdomyolysis (odds ratio: 0.48; 95\% confidence interval: 0.36-0.63).

CONCLUSION: We identified modest genetic risk factors for an extreme response to cerivastatin. Disabling genetic variants in the candidate genes were not responsible for the bimodal response to cerivastatin.

}, keywords = {Adult, Aged, Aged, 80 and over, Aryl Hydrocarbon Hydroxylases, Case-Control Studies, Cytochrome P-450 CYP2C8, Female, Genetic Variation, Genome-Wide Association Study, Glucuronosyltransferase, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Male, Middle Aged, Organic Anion Transporters, Polymorphism, Single Nucleotide, Pyridines, Rhabdomyolysis, Risk, Ryanodine Receptor Calcium Release Channel, Solute Carrier Organic Anion Transporter Family Member 1b1}, issn = {1744-6880}, doi = {10.1097/FPC.0b013e328343dd7d}, author = {Marciante, Kristin D and Durda, Jon P and Heckbert, Susan R and Lumley, Thomas and Rice, Ken and McKnight, Barbara and Totah, Rheem A and Tamraz, Bani and Kroetz, Deanna L and Fukushima, Hisayo and Kaspera, R{\"u}diger and Bis, Joshua C and Glazer, Nicole L and Li, Guo and Austin, Thomas R and Taylor, Kent D and Rotter, Jerome I and Jaquish, Cashell E and Kwok, Pui-Yan and Tracy, Russell P and Psaty, Bruce M} } @article {6325, title = {Common variation in fatty acid metabolic genes and risk of incident sudden cardiac arrest.}, journal = {Heart Rhythm}, volume = {11}, year = {2014}, month = {2014 Mar}, pages = {471-7}, abstract = {

BACKGROUND: There is limited information on genetic factors associated with sudden cardiac arrest (SCA).

OBJECTIVE: To assess the association of common variation in genes in fatty acid pathways with SCA risk.

METHODS: We selected 85 candidate genes and 1155 single nucleotide polymorphisms (SNPs) tagging common variation in each gene. We investigated the SNP associations with SCA in a population-based case-control study. Cases (n = 2160) were from a repository of SCA in the greater Seattle area. Controls (n = 2615), frequency-matched on age and sex, were from the same area. We used linear logistic regression to examine SNP associations with SCA. We performed permutation-based p-min tests to account for multiple comparisons within each gene. The SNP associations with a corrected P value of <.05 were then examined in a meta-analysis of these SNP associations in 9 replication studies totaling 2129 SCA cases and 23,833 noncases.

RESULTS: Eight SNPs in or near 8 genes were associated with SCA risk in the discovery study, one of which was nominally significant in the replication phase (rs7737692, minor allele frequency 36\%, near the LPCAT1 gene). For each copy of the minor allele, rs7737692 was associated with 13\% lower SCA risk (95\% confidence interval -21\% to -5\%) in the discovery phase and 9\% lower SCA risk (95\% confidence interval -16\% to -1\%) in the replication phase.

CONCLUSIONS: While none of the associations reached significance with Bonferroni correction, a common genetic variant near LPCAT1, a gene involved in the remodeling of phospholipids, was nominally associated with incident SCA risk. Further study is needed to validate this observation.

}, keywords = {1-Acylglycerophosphocholine O-Acyltransferase, Aged, Algorithms, Alleles, Case-Control Studies, Death, Sudden, Cardiac, Fatty Acids, Female, Genetic Predisposition to Disease, Genetic Variation, Genotype, Humans, Male, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1556-3871}, doi = {10.1016/j.hrthm.2014.01.008}, author = {Lemaitre, Rozenn N and Johnson, Catherine O and Hesselson, Stephanie and Sotoodehnia, Nona and Sotoodhenia, Nona and McKnight, Barbara and Sitlani, Colleen M and Rea, Thomas D and King, Irena B and Kwok, Pui-Yan and Mak, Angel and Li, Guo and Brody, Jennifer and Larson, Eric and Mozaffarian, Dariush and Psaty, Bruce M and Huertas-Vazquez, Adriana and Tardif, Jean-Claude and Albert, Christine M and Lyytik{\"a}inen, Leo-Pekka and Arking, Dan E and K{\"a}{\"a}b, Stefan and Huikuri, Heikki V and Krijthe, Bouwe P and Eijgelsheim, Mark and Wang, Ying A and Reinier, Kyndaron and Lehtim{\"a}ki, Terho and Pulit, Sara L and Brugada, Ramon and M{\"u}ller-Nurasyid, Martina and Newton-Cheh, Chris H and Karhunen, Pekka J and Stricker, Bruno H and Goyette, Philippe and Rotter, Jerome I and Chugh, Sumeet S and Chakravarti, Aravinda and Jouven, Xavier and Siscovick, David S} }