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Item Genetic loci associated with skin pigmentation in African Americans and their effects on vitamin D deficiency(Public Library of Science, 2021-02-18) Batai, Ken; Cui, Zuxi; Arora, Amit; Shah-Williams, Ebony; Hernandez, Wenndy; Ruden, Maria; Hollowell, Courtney M. P.; Hooker, Stanley E.; Bathina, Madhavi; Murphy, Adam B.; Bonilla, Carolina; Kittles, Rick A.; Medical and Molecular Genetics, School of MedicineA recent genome-wide association study (GWAS) in African descent populations identified novel loci associated with skin pigmentation. However, how genomic variations affect skin pigmentation and how these skin pigmentation gene variants affect serum 25(OH) vitamin D variation has not been explored in African Americans (AAs). In order to further understand genetic factors that affect human skin pigmentation and serum 25(OH)D variation, we performed a GWAS for skin pigmentation with 395 AAs and a replication study with 681 AAs. Then, we tested if the identified variants are associated with serum 25(OH) D concentrations in a subset of AAs (n = 591). Skin pigmentation, Melanin Index (M-Index), was measured using a narrow-band reflectometer. Multiple regression analysis was performed to identify variants associated with M-Index and to assess their role in serum 25(OH)D variation adjusting for population stratification and relevant confounding variables. A variant near the SLC24A5 gene (rs2675345) showed the strongest signal of association with M-Index (P = 4.0 x 10-30 in the pooled dataset). Variants in SLC24A5, SLC45A2 and OCA2 together account for a large proportion of skin pigmentation variance (11%). The effects of these variants on M-Index was modified by sex (P for interaction = 0.009). However, West African Ancestry (WAA) also accounts for a large proportion of M-Index variance (23%). M-Index also varies among AAs with high WAA and high Genetic Score calculated from top variants associated with M-Index, suggesting that other unknown genomic factors related to WAA are likely contributing to skin pigmentation variation. M-Index was not associated with serum 25(OH)D concentrations, but the Genetic Score was significantly associated with vitamin D deficiency (serum 25(OH)D levels less than 12 ng/mL) (OR, 1.30; 95% CI, 1.04-1.64). The findings support the hypothesis suggesting that skin pigmentation evolved responding to increased demand for subcutaneous vitamin D synthesis in high latitude environments.Item Genome-wide association study identifies 48 common genetic variants associated with handedness(Springer Nature, 2021) Cuellar-Partida, Gabriel; Tung, Joyce Y.; Eriksson, Nicholas; Albrecht, Eva; Aliev, Fazil; Andreassen, Ole A.; Barroso, Inês; Beckmann, Jacques S.; Boks, Marco P.; Boomsma, Dorret I.; Boyd, Heather A.; Breteler, Monique M. B.; Campbell, Harry; Chasman, Daniel I.; Cherkas, Lynn F.; Davies, Gail; de Geus, Eco J. C.; Deary, Ian J.; Deloukas, Panos; Dick, Danielle M.; Duffy, David L.; Eriksson, Johan G.; Esko, Tõnu; Feenstra, Bjarke; Geller, Frank; Gieger, Christian; Giegling, Ina; Gordon, Scott D.; Han, Jiali; Hansen, Thomas F.; Hartmann, Annette M.; Hayward, Caroline; Heikkilä, Kauko; Hicks, Andrew A.; Hirschhorn, Joel N.; Hottenga, Jouke-Jan; Huffman, Jennifer E.; Hwang, Liang-Dar; Ikram, M. Arfan; Kaprio, Jaakko; Kemp, John P.; Khaw, Kay-Tee; Klopp, Norman; Konte, Bettina; Kutalik, Zoltan; Lahti, Jari; Li, Xin; Loos, Ruth J. F.; Luciano, Michelle; Magnusson, Sigurdur H.; Mangino, Massimo; Marques-Vidal, Pedro; Martin, Nicholas G.; McArdle, Wendy L.; McCarthy, Mark I.; Medina-Gomez, Carolina; Melbye, Mads; Melville, Scott A.; Metspalu, Andres; Milani, Lili; Mooser, Vincent; Nelis, Mari; Nyholt, Dale R.; O'Connell, Kevin S.; Ophoff, Roel A.; Palmer, Cameron; Palotie, Aarno; Palviainen, Teemu; Pare, Guillaume; Paternoster, Lavinia; Peltonen, Leena; Penninx, Brenda W. J. H.; Polasek, Ozren; Pramstaller, Peter P.; Prokopenko, Inga; Raikkonen, Katri; Ripatti, Samuli; Rivadeneira, Fernando; Rudan, Igor; Rujescu, Dan; Smit, Johannes H.; Smith, George Davey; Smoller, Jordan W.; Soranzo, Nicole; Spector, Tim D.; St. Pourcain, Beate; Starr, John M.; Stefánsson, Hreinn; Steinberg, Stacy; Teder-Laving, Maris; Thorleifsson, Gudmar; Stefánsson, Kári; Timpson, Nicholas J.; Uitterlinden, André G.; van Duijn, Cornelia M.; van Rooij, Frank J. A.; Vink, Jaqueline M.; Vollenweider, Peter; Vuoksimaa, Eero; Waeber, Gérard; Wareham, Nicholas J.; Warrington, Nicole; Waterworth, Dawn; Werge, Thomas; Wichmann, H-Erich; Widen, Elisabeth; Willemsen, Gonneke; Wright, Alan F.; Wright, Margaret J.; Xu, Mousheng; Zhao, Jing Hua; Kraft, Peter; Hinds, David A.; Lindgren, Cecilia M.; Mägi, Reedik; Neale, Benjamin M.; Evans, David M.; Medland, Sarah E.; Epidemiology, School of Public HealthHandedness has been extensively studied because of its relationship with language and the over-representation of left-handers in some neurodevelopmental disorders. Using data from the UK Biobank, 23andMe and the International Handedness Consortium, we conducted a genome-wide association meta-analysis of handedness (N = 1,766,671). We found 41 loci associated (P < 5 × 10-8) with left-handedness and 7 associated with ambidexterity. Tissue-enrichment analysis implicated the CNS in the aetiology of handedness. Pathways including regulation of microtubules and brain morphology were also highlighted. We found suggestive positive genetic correlations between left-handedness and neuropsychiatric traits, including schizophrenia and bipolar disorder. Furthermore, the genetic correlation between left-handedness and ambidexterity is low (rG = 0.26), which implies that these traits are largely influenced by different genetic mechanisms. Our findings suggest that handedness is highly polygenic and that the genetic variants that predispose to left-handedness may underlie part of the association with some psychiatric disorders.Item Insights into the genetic architecture of the human face(Springer Nature, 2021) White, Julie D.; Indencleef, Karlijne; Naqvi, Sahin; Eller, Ryan J.; Hoskens, Hanne; Roosenboom, Jasmien; Lee, Myoung Keun; Li, Jiarui; Mohammed, Jaaved; Richmond, Stephen; Quillen, Ellen E.; Norton, Heather L.; Feingold, Eleanor; Swigut, Tomek; Marazita, Mary L.; Peeters, Hilde; Hens, Greet; Shaffer, John R.; Wysocka, Joanna; Walsh, Susan; Weinberg, Seth M.; Shriver, Mark D.; Claes, Peter; Biology, School of ScienceThe human face is complex and multipartite, and characterization of its genetic architecture remains challenging. Using a multivariate genome-wide association study meta-analysis of 8,246 European individuals, we identified 203 genome-wide-significant signals (120 also study-wide significant) associated with normal-range facial variation. Follow-up analyses indicate that the regions surrounding these signals are enriched for enhancer activity in cranial neural crest cells and craniofacial tissues, several regions harbor multiple signals with associations to different facial phenotypes, and there is evidence for potential coordinated actions of variants. In summary, our analyses provide insights into the understanding of how complex morphological traits are shaped by both individual and coordinated genetic actions.Item Novel Alzheimer Disease Risk Loci and Pathways in African American Individuals Using the African Genome Resources Panel(American Medical Association, 2021-01-01) Kunkle, Brian W.; Schmidt, Michael; Klein, Hans-Ulrich; Naj, Adam C.; Hamilton-Nelson, Kara L.; Larson, Eric B.; Evans, Denis A.; De Jager, Phil L.; Crane, Paul K.; Buxbaum, Joe D.; Ertekin-Taner, Nilufer; Go, Rodney C.P.; Obisesan, Thomas O.; Kamboh, Ilyas; Bennett, David A.; Hall, Kathleen S.; Goate, Alison M.; Foroud, Tatiana M.; Martin, Eden R.; Wang, Li-Sao; Byrd, Goldie S.; Farrer, Lindsay A.; Haines, Jonathan L.; Schellenberg, Gerard D.; Mayeux, Richard; Pericak-Vance, Margaret A.; Reitz, Christiane; Graff-Radford, Neill R.; Martinez, Izri; Ayodele, Temitope; Logue, Mark W.; Cantwell, Laura B.; Jean-Francois, Melissa; Kuzma, Amanda B.; Adams, L.D.; Vance, Jeffery M.; Cuccaro, Michael L.; Chung, Jaeyoon; Mez, Jesse; Lunetta, Kathryn L.; Jun, Gyungah R.; Lopez, Oscar L.; Hendrie, Hugh C.; Reiman, Eric M.; Kowall, Neil W.; Leverenz, James B.; Small, Scott A.; Levey, Allan I.; Golde, Todd E.; Saykin, Andrew J.; Starks, Takiyah D.; Albert, Marilyn S.; Hyman, Bradley T.; Petersen, Ronald C.; Sano, Mary; Wisniewski, Thomas; Vassar, Robert; Kaye, Jeffrey A.; Henderson, Victor W.; DeCarli, Charles; LaFerla, Frank M.; Brewer, James B.; Miller, Bruce L.; Swerdlow, Russell H.; Van Eldik, Linda J.; Paulson, Henry L.; Trojanowski, John Q.; Chui, Helena C.; Rosenberg, Roger N.; Craft, Suzanne; Grabowski, Thomas J.; Asthana, Sanjay; Morris, John C.; Strittmatter, Stephen M.; Kukull, Walter A.; Psychiatry, School of MedicineImportance: Compared with non-Hispanic White individuals, African American individuals from the same community are approximately twice as likely to develop Alzheimer disease. Despite this disparity, the largest Alzheimer disease genome-wide association studies to date have been conducted in non-Hispanic White individuals. In the largest association analyses of Alzheimer disease in African American individuals, ABCA7, TREM2, and an intergenic locus at 5q35 were previously implicated. Objective: To identify additional risk loci in African American individuals by increasing the sample size and using the African Genome Resource panel. Design, setting, and participants: This genome-wide association meta-analysis used case-control and family-based data sets from the Alzheimer Disease Genetics Consortium. There were multiple recruitment sites throughout the United States that included individuals with Alzheimer disease and controls of African American ancestry. Analysis began October 2018 and ended September 2019. Main outcomes and measures: Diagnosis of Alzheimer disease. Results: A total of 2784 individuals with Alzheimer disease (1944 female [69.8%]) and 5222 controls (3743 female [71.7%]) were analyzed (mean [SD] age at last evaluation, 74.2 [13.6] years). Associations with 4 novel common loci centered near the intracellular glycoprotein trafficking gene EDEM1 (3p26; P = 8.9 × 10-7), near the immune response gene ALCAM (3q13; P = 9.3 × 10-7), within GPC6 (13q31; P = 4.1 × 10-7), a gene critical for recruitment of glutamatergic receptors to the neuronal membrane, and within VRK3 (19q13.33; P = 3.5 × 10-7), a gene involved in glutamate neurotoxicity, were identified. In addition, several loci associated with rare variants, including a genome-wide significant intergenic locus near IGF1R at 15q26 (P = 1.7 × 10-9) and 6 additional loci with suggestive significance (P ≤ 5 × 10-7) such as API5 at 11p12 (P = 8.8 × 10-8) and RBFOX1 at 16p13 (P = 5.4 × 10-7) were identified. Gene expression data from brain tissue demonstrate association of ALCAM, ARAP1, GPC6, and RBFOX1 with brain β-amyloid load. Of 25 known loci associated with Alzheimer disease in non-Hispanic White individuals, only APOE, ABCA7, TREM2, BIN1, CD2AP, FERMT2, and WWOX were implicated at a nominal significance level or stronger in African American individuals. Pathway analyses strongly support the notion that immunity, lipid processing, and intracellular trafficking pathways underlying Alzheimer disease in African American individuals overlap with those observed in non-Hispanic White individuals. A new pathway emerging from these analyses is the kidney system, suggesting a novel mechanism for Alzheimer disease that needs further exploration. Conclusions and relevance: While the major pathways involved in Alzheimer disease etiology in African American individuals are similar to those in non-Hispanic White individuals, the disease-associated loci within these pathways differ.Item Patterns of item nonresponse behaviour to survey questionnaires are systematic and associated with genetic loci(Springer Nature, 2023) Mignogna, Gianmarco; Carey, Caitlin E.; Wedow, Robbee; Baya, Nikolas; Cordioli, Mattia; Pirastu, Nicola; Bellocco, Rino; Fiuza Malerbi, Kathryn; Nivard, Michel G.; Neale, Benjamin M.; Walters, Raymond K.; Ganna, Andrea; Medical and Molecular Genetics, School of MedicineResponse to survey questionnaires is vital for social and behavioural research, and most analyses assume full and accurate response by participants. However, nonresponse is common and impedes proper interpretation and generalizability of results. We examined item nonresponse behaviour across 109 questionnaire items in the UK Biobank (N = 360,628). Phenotypic factor scores for two participant-selected nonresponse answers, 'Prefer not to answer' (PNA) and 'I don't know' (IDK), each predicted participant nonresponse in follow-up surveys (incremental pseudo-R2 = 0.056), even when controlling for education and self-reported health (incremental pseudo-R2 = 0.046). After performing genome-wide association studies of our factors, PNA and IDK were highly genetically correlated with one another (rg = 0.73 (s.e. = 0.03)) and with education (rg,PNA = -0.51 (s.e. = 0.03); rg,IDK = -0.38 (s.e. = 0.02)), health (rg,PNA = 0.51 (s.e. = 0.03); rg,IDK = 0.49 (s.e. = 0.02)) and income (rg,PNA = -0.57 (s.e. = 0.04); rg,IDK = -0.46 (s.e. = 0.02)), with additional unique genetic associations observed for both PNA and IDK (P < 5 × 10-8). We discuss how these associations may bias studies of traits correlated with item nonresponse and demonstrate how this bias may substantially affect genome-wide association studies. While the UK Biobank data are deidentified, we further protected participant privacy by avoiding exploring non-response behaviour to single questions, assuring that no information can be used to associate results with any particular respondents.