Person:
Ganna, Andrea

Loading...
Profile Picture

Email Address

AA Acceptance Date

Birth Date

Research Projects

Organizational Units

Job Title

Last Name

Ganna

First Name

Andrea

Name

Ganna, Andrea

Search Results

Now showing 1 - 7 of 7
  • Publication
    Hematopoietic mosaic chromosomal alterations increase the risk for diverse types of infection
    (Springer Science and Business Media LLC, 2021-06) Zekavat, Seyedeh M.; Lin, Shu-Hong; Bick, Alexander G.; Liu, Aoxing; Paruchuri, Kaavya; Wang, Chen; Uddin, Md Mesbah; Ye, Yixuan; Yu, Zhaolong; Liu, Xiaoxi; Kamatani, Yoichiro; Bhattacharya, Romit; Pirruccello, James; Pampana, Akhil; Loh, Po-Ru; Kohli, Puja; McCarroll, Steven; Kiryluk, Krzysztof; Neale, Benjamin; Ionita-Laza, Iuliana; Engels, Eric; Brown, Derek W.; Smoller, Jordan; Green, Robert; Karlson, Elizabeth; Lebo, Matthew; Ellinor, Patrick; Weiss, Scott; Daly, Mark; Terao, Chikashi; Zhao, Hongyu; Ebert, Benjamin; Reilly, Muredach; Ganna, Andrea; Machiela, Mitchell; Genovese, Giulio; Natarajan, Pradeep
    The burden of mosaic chromosomal alterations in blood-derived DNA, a type of clonal hematopoiesis, is associated with an increased risk for diverse types of infections, including sepsis and pneumonia. Age is the dominant risk factor for infectious diseases, but the mechanisms linking age to infectious disease risk are incompletely understood. Age-related mosaic chromosomal alterations (mCAs) detected from genotyping of blood-derived DNA, are structural somatic variants indicative of clonal hematopoiesis, and are associated with aberrant leukocyte cell counts, hematological malignancy, and mortality. Here, we show that mCAs predispose to diverse types of infections. We analyzed mCAs from 768,762 individuals without hematological cancer at the time of DNA acquisition across five biobanks. Expanded autosomal mCAs were associated with diverse incident infections (hazard ratio (HR) 1.25; 95% confidence interval (CI) = 1.15-1.36; P = 1.8 x 10(-7)), including sepsis (HR 2.68; 95% CI = 2.25-3.19; P = 3.1 x 10(-28)), pneumonia (HR 1.76; 95% CI = 1.53-2.03; P = 2.3 x 10(-15)), digestive system infections (HR 1.51; 95% CI = 1.32-1.73; P = 2.2 x 10(-9)) and genitourinary infections (HR 1.25; 95% CI = 1.11-1.41; P = 3.7 x 10(-4)). A genome-wide association study of expanded mCAs identified 63 loci, which were enriched at transcriptional regulatory sites for immune cells. These results suggest that mCAs are a marker of impaired immunity and confer increased predisposition to infections.
  • Thumbnail Image
    Publication
    Glucose challenge metabolomics implicates medium-chain acylcarnitines in insulin resistance
    (Nature Publishing Group UK, 2018) Nowak, Christoph; Hetty, Susanne; Salihovic, Samira; Castillejo-Lopez, Casimiro; Ganna, Andrea; Cook, Naomi L.; Broeckling, Corey D.; Prenni, Jessica E.; Shen, Xia; Giedraitis, Vilmantas; Ärnlöv, Johan; Lind, Lars; Berne, Christian; Sundström, Johan; Fall, Tove; Ingelsson, Erik
    Insulin resistance (IR) predisposes to type 2 diabetes and cardiovascular disease but its causes are incompletely understood. Metabolic challenges like the oral glucose tolerance test (OGTT) can reveal pathogenic mechanisms. We aimed to discover associations of IR with metabolite trajectories during OGTT. In 470 non-diabetic men (age 70.6 ± 0.6 years), plasma samples obtained at 0, 30 and 120 minutes during an OGTT were analyzed by untargeted liquid chromatography-mass spectrometry metabolomics. IR was assessed with the hyperinsulinemic-euglycemic clamp method. We applied age-adjusted linear regression to identify metabolites whose concentration change was related to IR. Nine trajectories, including monounsaturated fatty acids, lysophosphatidylethanolamines and a bile acid, were significantly associated with IR, with the strongest associations observed for medium-chain acylcarnitines C10 and C12, and no associations with L-carnitine or C2-, C8-, C14- or C16-carnitine. Concentrations of C10- and C12-carnitine decreased during OGTT with a blunted decline in participants with worse insulin resistance. Associations persisted after adjustment for obesity, fasting insulin and fasting glucose. In mouse 3T3-L1 adipocytes exposed to different acylcarnitines, we observed blunted insulin-stimulated glucose uptake after treatment with C10- or C12-carnitine. In conclusion, our results identify medium-chain acylcarnitines as possible contributors to IR.
  • Thumbnail Image
    Publication
    The impact of rare variation on gene expression across tissues
    (2017) Li, Xin; Kim, Yungil; Tsang, Emily K.; Davis, Joe R.; Damani, Farhan N.; Chiang, Colby; Hess, Gaelen T.; Zappala, Zachary; Strober, Benjamin J.; Scott, Alexandra J.; Li, Amy; Ganna, Andrea; Bassik, Michael C.; Merker, Jason D.; Hall, Ira M.; Battle, Alexis; Montgomery, Stephen B.
  • Thumbnail Image
    Publication
    Insights into the genetic epidemiology of Crohn's and rare diseases in the Ashkenazi Jewish population
    (Public Library of Science, 2018) Rivas, Manuel A.; Avila, Brandon E.; Koskela, Jukka; Huang, Hailiang; Stevens, Christine; Pirinen, Matti; Haritunians, Talin; Neale, Benjamin; Kurki, Mitja; Ganna, Andrea; Graham, Daniel; Glaser, Benjamin; Peter, Inga; Atzmon, Gil; Barzilai, Nir; Levine, Adam P.; Schiff, Elena; Pontikos, Nikolas; Weisburd, Ben; Lek, Monkol; Karczewski, Konrad; Bloom, Jonathan; Minikel, Eric; Petersen, Britt-Sabina; Beaugerie, Laurent; Seksik, Philippe; Cosnes, Jacques; Schreiber, Stefan; Bokemeyer, Bernd; Bethge, Johannes; Heap, Graham; Ahmad, Tariq; Plagnol, Vincent; Segal, Anthony W.; Targan, Stephan; Turner, Dan; Saavalainen, Paivi; Farkkila, Martti; Kontula, Kimmo; Palotie, Aarno; Brant, Steven R.; Duerr, Richard H.; Silverberg, Mark S.; Rioux, John D.; Weersma, Rinse K.; Franke, Andre; Jostins, Luke; Anderson, Carl A.; Barrett, Jeffrey C.; MacArthur, Daniel; Jalas, Chaim; Sokol, Harry; Xavier, Ramnik; Pulver, Ann; Cho, Judy H.; McGovern, Dermot P. B.; Daly, Mark
    As part of a broader collaborative network of exome sequencing studies, we developed a jointly called data set of 5,685 Ashkenazi Jewish exomes. We make publicly available a resource of site and allele frequencies, which should serve as a reference for medical genetics in the Ashkenazim (hosted in part at https://ibd.broadinstitute.org, also available in gnomAD at http://gnomad.broadinstitute.org). We estimate that 34% of protein-coding alleles present in the Ashkenazi Jewish population at frequencies greater than 0.2% are significantly more frequent (mean 15-fold) than their maximum frequency observed in other reference populations. Arising via a well-described founder effect approximately 30 generations ago, this catalog of enriched alleles can contribute to differences in genetic risk and overall prevalence of diseases between populations. As validation we document 148 AJ enriched protein-altering alleles that overlap with "pathogenic" ClinVar alleles (table available at https://github.com/macarthur-lab/clinvar/blob/master/output/clinvar.tsv), including those that account for 10–100 fold differences in prevalence between AJ and non-AJ populations of some rare diseases, especially recessive conditions, including Gaucher disease (GBA, p.Asn409Ser, 8-fold enrichment); Canavan disease (ASPA, p.Glu285Ala, 12-fold enrichment); and Tay-Sachs disease (HEXA, c.1421+1G>C, 27-fold enrichment; p.Tyr427IlefsTer5, 12-fold enrichment). We next sought to use this catalog, of well-established relevance to Mendelian disease, to explore Crohn's disease, a common disease with an estimated two to four-fold excess prevalence in AJ. We specifically attempt to evaluate whether strong acting rare alleles, particularly protein-truncating or otherwise large effect-size alleles, enriched by the same founder-effect, contribute excess genetic risk to Crohn's disease in AJ, and find that ten rare genetic risk factors in NOD2 and LRRK2 are enriched in AJ (p < 0.005), including several novel contributing alleles, show evidence of association to CD. Independently, we find that genomewide common variant risk defined by GWAS shows a strong difference between AJ and non-AJ European control population samples (0.97 s.d. higher, p<10−16). Taken together, the results suggest coordinated selection in AJ population for higher CD risk alleles in general. The results and approach illustrate the value of exome sequencing data in case-control studies along with reference data sets like ExAC (sites VCF available via FTP at ftp.broadinstitute.org/pub/ExAC_release/release0.3/) to pinpoint genetic variation that contributes to variable disease predisposition across populations.
  • Publication
    Functional Architecture of Low-Frequency Variants Highlights Strength of Negative Selection Across Coding and Non-Coding Annotations
    (Springer Science and Business Media LLC, 2018-11) Gazal, Steven; Loh, Po-Ru; Finucane, Hilary K.; Ganna, Andrea; Schoech, Armin; Sunyaev, Shamil; Price, Alkes
    Common variant heritability has been widely reported to be concentrated in variants within cell-type-specific non-coding functional annotations, but little is known about low-frequency variant functional architectures. We partitioned the heritability of both low-frequency (0.5%≤ minor allele frequency <5%) and common (minor allele frequency ≥5%) variants in 40 UK Biobank traits across a broad set of functional annotations. We determined that non-synonymous coding variants explain 17 ± 1% of low-frequency variant heritability ([Formula: see text]) versus 2.1 ± 0.2% of common variant heritability ([Formula: see text]). Cell-type-specific non-coding annotations that were significantly enriched for [Formula: see text] of corresponding traits were similarly enriched for [Formula: see text] for most traits, but more enriched for brain-related annotations and traits. For example, H3K4me3 marks in brain dorsolateral prefrontal cortex explain 57 ± 12% of [Formula: see text] versus 12 ± 2% of [Formula: see text] for neuroticism. Forward simulations confirmed that low-frequency variant enrichment depends on the mean selection coefficient of causal variants in the annotation, and can be used to predict effect size variance of causal rare variants (minor allele frequency <0.5%).
  • Thumbnail Image
    Publication
    Effect of Insulin Resistance on Monounsaturated Fatty Acid Levels: A Multi-cohort Non-targeted Metabolomics and Mendelian Randomization Study
    (Public Library of Science, 2016) Nowak, Christoph; Salihovic, Samira; Ganna, Andrea; Brandmaier, Stefan; Tukiainen, Taru; Broeckling, Corey D.; Magnusson, Patrik K.; Prenni, Jessica E.; Wang-Sattler, Rui; Peters, Annette; Strauch, Konstantin; Meitinger, Thomas; Giedraitis, Vilmantas; Ärnlöv, Johan; Berne, Christian; Gieger, Christian; Ripatti, Samuli; Lind, Lars; Pedersen, Nancy L.; Sundström, Johan; Ingelsson, Erik; Fall, Tove
    Insulin resistance (IR) and impaired insulin secretion contribute to type 2 diabetes and cardiovascular disease. Both are associated with changes in the circulating metabolome, but causal directions have been difficult to disentangle. We combined untargeted plasma metabolomics by liquid chromatography/mass spectrometry in three non-diabetic cohorts with Mendelian Randomization (MR) analysis to obtain new insights into early metabolic alterations in IR and impaired insulin secretion. In up to 910 elderly men we found associations of 52 metabolites with hyperinsulinemic-euglycemic clamp-measured IR and/or β-cell responsiveness (disposition index) during an oral glucose tolerance test. These implicated bile acid, glycerophospholipid and caffeine metabolism for IR and fatty acid biosynthesis for impaired insulin secretion. In MR analysis in two separate cohorts (n = 2,613) followed by replication in three independent studies profiled on different metabolomics platforms (n = 7,824 / 8,961 / 8,330), we discovered and replicated causal effects of IR on lower levels of palmitoleic acid and oleic acid. A trend for a causal effect of IR on higher levels of tyrosine reached significance only in meta-analysis. In one of the largest studies combining “gold standard” measures for insulin responsiveness with non-targeted metabolomics, we found distinct metabolic profiles related to IR or impaired insulin secretion. We speculate that the causal effects on monounsaturated fatty acid levels could explain parts of the raised cardiovascular disease risk in IR that is independent of diabetes development.
  • Thumbnail Image
    Publication
    Ultra-rare disruptive and damaging mutations influence educational attainment in the general population
    (2016) Ganna, Andrea; Genovese, Giulio; Howrigan, Daniel; Byrnes, Andrea; Kurki, Mitja; Zekavat, Seyedeh M.; Whelan, Christopher W.; Kals, Mart; Nivard, Michel G.; Bloemendal, Alex; Bloom, Jonathan M.; Goldstein, Jacqueline I.; Poterba, Timothy; Seed, Cotton; Handsaker, Robert; Natarajan, Pradeep; Mägi, Reedik; Gage, Diane; Robinson, Elise; Metspalu, Andres; Salomaa, Veikko; Suvisaari, Jaana; Purcell, Shaun M.; Sklar, Pamela; Kathiresan, Sekar; Daly, Mark; McCarroll, Steven; Sullivan, Patrick F.; Palotie, Aarno; Esko, Tõnu; Hultman, Christina; Neale, Benjamin
    Disruptive and damaging ultra-rare variants (URVs) in highly constrained (HC) genes are enriched in individuals with neurodevelopmental disorders. In the general population, this class of variants was associated with a decrease in years of education (YOE; −3.1 months; P-value=3.3×10−8). This effect was stronger among high brain-expressed genes and explained more YOE variance than pathogenic copy number variation, but less than common variants. Disruptive and damaging URVs in HC genes influence the determinants of YOE in the general population.