TY - JOUR T1 - The identification of mediating effects using genome-based restricted maximum likelihood estimation. JF - PLoS Genet Y1 - 2023 A1 - Rietveld, Cornelius A A1 - de Vlaming, Ronald A1 - Slob, Eric A W KW - Genome KW - Genome-Wide Association Study KW - Humans KW - Likelihood Functions KW - Multifactorial Inheritance KW - Phenotype AB -

Mediation analysis is commonly used to identify mechanisms and intermediate factors between causes and outcomes. Studies drawing on polygenic scores (PGSs) can readily employ traditional regression-based procedures to assess whether trait M mediates the relationship between the genetic component of outcome Y and outcome Y itself. However, this approach suffers from attenuation bias, as PGSs capture only a (small) part of the genetic variance of a given trait. To overcome this limitation, we developed MA-GREML: a method for Mediation Analysis using Genome-based Restricted Maximum Likelihood (GREML) estimation. Using MA-GREML to assess mediation between genetic factors and traits comes with two main advantages. First, we circumvent the limited predictive accuracy of PGSs that regression-based mediation approaches suffer from. Second, compared to methods employing summary statistics from genome-wide association studies, the individual-level data approach of GREML allows to directly control for confounders of the association between M and Y. In addition to typical GREML parameters (e.g., the genetic correlation), MA-GREML estimates (i) the effect of M on Y, (ii) the direct effect (i.e., the genetic variance of Y that is not mediated by M), and (iii) the indirect effect (i.e., the genetic variance of Y that is mediated by M). MA-GREML also provides standard errors of these estimates and assesses the significance of the indirect effect. We use analytical derivations and simulations to show the validity of our approach under two main assumptions, viz., that M precedes Y and that environmental confounders of the association between M and Y are controlled for. We conclude that MA-GREML is an appropriate tool to assess the mediating role of trait M in the relationship between the genetic component of Y and outcome Y. Using data from the US Health and Retirement Study, we provide evidence that genetic effects on Body Mass Index (BMI), cognitive functioning and self-reported health in later life run partially through educational attainment. For mental health, we do not find significant evidence for an indirect effect through educational attainment. Further analyses show that the additive genetic factors of these four outcomes do partially (cognition and mental health) and fully (BMI and self-reported health) run through an earlier realization of these traits.

VL - 19 IS - 2 ER - TY - JOUR T1 - Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning. JF - Molecular Psychiatry Y1 - 2022 A1 - Lahti, Jari A1 - Tuominen, Samuli A1 - Yang, Qiong A1 - Pergola, Giulio A1 - Ahmad, Shahzad A1 - Amin, Najaf A1 - Armstrong, Nicola J A1 - Beiser, Alexa A1 - Bey, Katharina A1 - Bis, Joshua C A1 - Boerwinkle, Eric A1 - Bressler, Jan A1 - Campbell, Archie A1 - Campbell, Harry A1 - Chen, Qiang A1 - Corley, Janie A1 - Cox, Simon R A1 - Davies, Gail A1 - De Jager, Philip L A1 - Derks, Eske M A1 - Jessica Faul A1 - Fitzpatrick, Annette L A1 - Fohner, Alison E A1 - Ford, Ian A1 - Fornage, Myriam A1 - Gerring, Zachary A1 - Grabe, Hans J A1 - Grodstein, Francine A1 - Gudnason, Vilmundur A1 - Simonsick, Eleanor A1 - Holliday, Elizabeth G A1 - Joshi, Peter K A1 - Kajantie, Eero A1 - Kaprio, Jaakko A1 - Karell, Pauliina A1 - Kleineidam, Luca A1 - Knol, Maria J A1 - Kochan, Nicole A A1 - Kwok, John B A1 - Leber, Markus A1 - Lam, Max A1 - Lee, Teresa A1 - Li, Shuo A1 - Loukola, Anu A1 - Luck, Tobias A1 - Marioni, Riccardo E A1 - Mather, Karen A A1 - Medland, Sarah A1 - Mirza, Saira S A1 - Nalls, Mike A A1 - Nho, Kwangsik A1 - O'Donnell, Adrienne A1 - Oldmeadow, Christopher A1 - Painter, Jodie A1 - Pattie, Alison A1 - Reppermund, Simone A1 - Risacher, Shannon L A1 - Rose, Richard J A1 - Sadashivaiah, Vijay A1 - Scholz, Markus A1 - Satizabal, Claudia L A1 - Schofield, Peter W A1 - Schraut, Katharina E A1 - Scott, Rodney J A1 - Simino, Jeannette A1 - Smith, Albert V A1 - Smith, Jennifer A A1 - Stott, David J A1 - Surakka, Ida A1 - Teumer, Alexander A1 - Thalamuthu, Anbupalam A1 - Trompet, Stella A1 - Turner, Stephen T A1 - van der Lee, Sven J A1 - Villringer, Arno A1 - Völker, Uwe A1 - Wilson, Robert S A1 - Wittfeld, Katharina A1 - Vuoksimaa, Eero A1 - Xia, Rui A1 - Yaffe, Kristine A1 - Yu, Lei A1 - Zare, Habil A1 - Zhao, Wei A1 - Ames, David A1 - Attia, John A1 - Bennett, David A A1 - Brodaty, Henry A1 - Chasman, Daniel I A1 - Goldman, Aaron L A1 - Hayward, Caroline A1 - Ikram, M Arfan A1 - Jukema, J Wouter A1 - Sharon L R Kardia A1 - Lencz, Todd A1 - Loeffler, Markus A1 - Mattay, Venkata S A1 - Palotie, Aarno A1 - Psaty, Bruce M A1 - Ramirez, Alfredo A1 - Ridker, Paul M A1 - Riedel-Heller, Steffi G A1 - Sachdev, Perminder S A1 - Saykin, Andrew J A1 - Scherer, Martin A1 - Schofield, Peter R A1 - Sidney, Stephen A1 - Starr, John M A1 - Trollor, Julian A1 - Ulrich, William A1 - Wagner, Michael A1 - David R Weir A1 - Wilson, James F A1 - Wright, Margaret J A1 - Weinberger, Daniel R A1 - Debette, Stéphanie A1 - Eriksson, Johan G A1 - Mosley, Thomas H A1 - Launer, Lenore J A1 - van Duijn, Cornelia M A1 - Deary, Ian J A1 - Seshadri, Sudha A1 - Räikkönen, Katri KW - Genome KW - health outcomes KW - Memory KW - neurocognitive outcomes KW - polygenic score KW - Verbal Learning AB -

Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.

ER - TY - JOUR T1 - Multivariate estimation of factor structures of complex traits using SNP-based genomic relationships. JF - BMC Bioinformatics Y1 - 2022 A1 - de Vlaming, Ronald A1 - Slob, Eric A W A1 - Groenen, Patrick J F A1 - Rietveld, Cornelius A KW - Genome KW - Genome-Wide Association Study KW - Genomics KW - Multifactorial Inheritance KW - Phenotype KW - Polymorphism KW - Single Nucleotide AB -

BACKGROUND: Heritability and genetic correlation can be estimated from genome-wide single-nucleotide polymorphism (SNP) data using various methods. We recently developed multivariate genomic-relatedness-based restricted maximum likelihood (MGREML) for statistically and computationally efficient estimation of SNP-based heritability ([Formula: see text]) and genetic correlation ([Formula: see text]) across many traits in large datasets. Here, we extend MGREML by allowing it to fit and perform tests on user-specified factor models, while preserving the low computational complexity.

RESULTS: Using simulations, we show that MGREML yields consistent estimates and valid inferences for such factor models at low computational cost (e.g., for data on 50 traits and 20,000 individuals, a saturated model involving 50 [Formula: see text]'s, 1225 [Formula: see text]'s, and 50 fixed effects is estimated and compared to a restricted model in less than one hour on a single notebook with two 2.7 GHz cores and 16 GB of RAM). Using repeated measures of height and body mass index from the US Health and Retirement Study, we illustrate the ability of MGREML to estimate a factor model and test whether it fits the data better than a nested model. The MGREML tool, the simulation code, and an extensive tutorial are freely available at https://github.com/devlaming/mgreml/ .

CONCLUSION: MGREML can now be used to estimate multivariate factor structures and perform inferences on such factor models at low computational cost. This new feature enables simple structural equation modeling using MGREML, allowing researchers to specify, estimate, and compare genetic factor models of their choosing using SNP data.

VL - 23 IS - 1 ER - TY - JOUR T1 - A Common DIO2 Polymorphism and Alzheimer Disease Dementia in African and European Americans JF - Journal of Endocrinology & Metabolism Y1 - 2018 A1 - Elizabeth A. McAninch A1 - Rajan, Kumar B A1 - Sungro Jo A1 - Layal Chaker A1 - et al. KW - Alzheimer's disease KW - Cognitive Ability KW - Genome AB - Context A common single nucleotide polymorphism in DIO2, Thr92AlaD2, has been associated with a transcriptome typically found in neurodegenerative diseases in postmortem human brain tissue. Objective To determine whether Thr92AlaD2 is associated with incident Alzheimer disease (AD). Design Population-based study; human brain tissue microarray. Setting Community-based cohorts from Chicago and northeastern Illinois and religious clergymen from across the United States constituted the primary population. A representative sample of the U.S. population was used for secondary analyses. Participants 3054 African Americans (AAs) and 9304 European Americans (EAs). Main Outcome Measure Incident AD. Results In the primary population, AAs with Thr92AlaD2 had 1.3 times [95% confidence interval (CI), 1.02 to 1.68; P = 0.048] greater odds of developing AD. AAs from a second population with Thr92AlaD2 showed a trend toward increased odds of dementia (odds ratio, 1.33; 95% CI, 0.99 to 1.78; P = 0.06) and 1.35 times greater odds of developing cognitive impairment not demented (CIND; 95% CI, 1.09 to 1.67; P = 0.006). Meta-analysis showed that AAs with Thr92AlaD2 had 1.3 times increased odds of developing AD/dementia (95% CI, 1.07 to 1.58; P = 0.008). In EAs, no association was found between Thr92AlaD2 and AD, dementia, or CIND. Microarray of AA brain tissue identified transcriptional patterns linked to AD pathogenesis. Conclusions Thr92AlaD2 was associated with molecular markers known to underlie AD pathogenesis in AAs, translating to an observed phenotype of increased odds of developing AD/dementia in AAs in these populations. Thr92AlaD2 might represent one factor contributing to racial discrepancies in incident AD. VL - 103 UR - https://academic.oup.com/jcem/article/103/5/1818/4893706 IS - 5 ER - TY - JOUR T1 - A genome-wide association study for extremely high intelligence JF - Molecular Psychiatry Y1 - 2018 A1 - Zabaneh, D A1 - Krapohl, E A1 - Gaspar, H A A1 - Curtis, C A1 - Lee, S H A1 - Patel, H A1 - Newhouse, S A1 - Wu, H M A1 - Simpson, M A A1 - Putallaz, M A1 - Lubinski, D A1 - Plomin, R A1 - Breen, G KW - Cognitive Ability KW - Education KW - Genome KW - Hereditary KW - Humans AB - We used a case-control genome-wide association (GWA) design with cases consisting of 1238 individuals from the top 0.0003 (~170 mean IQ) of the population distribution of intelligence and 8172 unselected population-based controls. The single-nucleotide polymorphism heritability for the extreme IQ trait was 0.33 (0.02), which is the highest so far for a cognitive phenotype, and significant genome-wide genetic correlations of 0.78 were observed with educational attainment and 0.86 with population IQ. Three variants in locus ADAM12 achieved genome-wide significance, although they did not replicate with published GWA analyses of normal-range IQ or educational attainment. A genome-wide polygenic score constructed from the GWA results accounted for 1.6% of the variance of intelligence in the normal range in an unselected sample of 3414 individuals, which is comparable to the variance explained by GWA studies of intelligence with substantially larger sample sizes. The gene family plexins, members of which are mutated in several monogenic neurodevelopmental disorders, was significantly enriched for associations with high IQ. This study shows the utility of extreme trait selection for genetic study of intelligence and suggests that extremely high intelligence is continuous genetically with normal-range intelligence in the population. VL - 23 UR - http://www.nature.com/doifinder/10.1038/mp.2017.121http://www.nature.com/doifinder/10.1038/mp.2017.121 IS - 5 JO - Mol Psychiatry ER - TY - JOUR T1 - Social and Genetic Pathways in Multigenerational Transmission of Educational Attainment JF - American Sociological Review Y1 - 2018 A1 - Hexuan Liu KW - Education KW - Genetics KW - Genome KW - Multigenerational AB - This study investigates the complex roles of the social environment and genes in the multigenerational transmission of educational attainment. Drawing on genome-wide data and educational attainment measures from the Framingham Heart Study (FHS) and the Health and Retirement Study (HRS), I conduct polygenic score analyses to examine genetic confounding in the estimation of parents’ and grandparents’ influences on their children’s and grandchildren’s educational attainment. I also examine social genetic effects (i.e., genetic effects that operate through the social environment) in the transmission of educational attainment across three generations. Two-generation analyses produce three important findings. First, about one-fifth of the parent-child association in education reflects genetic inheritance. Second, up to half of the association between parents’ polygenic scores and children’s education is mediated by parents’ education. Third, about one-third of the association between children’s polygenic scores and their educational attainment is attributable to parents’ genotypes and education. Three-generation analyses suggest that genetic confounding on the estimate of the direct effect of grandparents’ education on grandchildren’s education (net of parents’ education) may be inconsequential, and I find no evidence that grandparents’ genotypes significantly influence grandchildren’s education through non-biological pathways. The three-generation results are suggestive, and the results may change when different samples are used. VL - 83 IS - 2 JO - Am Sociol Rev ER - TY - JOUR T1 - Human longevity: 25 genetic loci associated in 389,166 UK biobank participants JF - Aging Y1 - 2017 A1 - Luke C Pilling A1 - Kuo, Chia-Ling A1 - Sicinski, Kamil A1 - Tamosauskaite, Jone A1 - George A Kuchel A1 - Lorna W. Harries A1 - Herd, Pamela A1 - Robert B Wallace A1 - Luigi Ferrucci A1 - David Melzer KW - Cross-National KW - Genetics KW - Genome KW - GWAS KW - Longevity AB - We undertook a genome-wide association study (GWAS) of parental longevity in European descent UK Biobank participants. For combined mothers' and fathers' attained age, 10 loci were associated (p<5*10(-8)), including 8 previously identified for traits including survival, Alzheimer's and cardiovascular disease. Of these, 4 were also associated with longest 10% survival (mother's age >= 90 years, father's >= 87 years), with 2 additional associations including MC2R intronic variants (coding for the adrenocorticotropic hormone receptor). Mother's age at death was associated with 3 additional loci (2 linked to autoimmune conditions), and 8 for fathers only. An attained age genetic risk score associated with parental survival in the US Health and Retirement Study and the Wisconsin Longitudinal Study and with having a centenarian parent (n=1,181) in UK Biobank. The results suggest that human longevity is highly polygenic with prominent roles for loci likely involved in cellular senescence and inflammation, plus lipid metabolism and cardiovascular conditions. There may also be gender specific routes to longevity. VL - 9 UR - http://www.aging-us.com/article/101334/texthttp://www.aging-us.com/article/101334/text?_escaped_fragment_= IS - 12 JO - aging ER - TY - RPRT T1 - The Impact of Late-Career Job Loss and Genotype on Body Mass Index Y1 - 2016 A1 - Lauren L Schmitz A1 - Dalton C Conley KW - BMI KW - Genome KW - Job loss KW - Older Adults AB - This study examines whether the effect of job loss on body mass index (BMI) at older ages is moderated by genotype using twenty years of socio-demographic and genome-wide data from the Health and Retirement Study (HRS). To avoid any potential confounding we interact layoffs due to a plant or business closure—a plausibly exogenous environmental exposure—with a polygenic risk score for BMI in a regression-adjusted semiparametric differences-in-differences matching framework that compares the BMI of those before and after an involuntary job loss with a control group that has not been laid off. Results indicate genetically-at-risk workers who lost their job before they were eligible for Social Security benefits, or before age 62, were more likely to gain weight. Further analysis reveals heterogeneous treatment effects by demographic, health, and socioeconomic characteristics. In particular, we find high risk individuals who gained weight after a job loss were more likely to be male, in worse health, single, and at the bottom half of the wealth distribution. Across the board, effects are concentrated among high-risk individuals who were not overweight prior to job loss, indicating unemployment at older ages may trigger weight gain in otherwise healthy or normal weight populations. PB - National Bureau of Economic Research CY - Cambridge, MA UR - http://www.nber.org/papers/w22348.pdf ER - TY - Generic T1 - Real-life prosocial attitudes in North America: A genome-wide association approach. Y1 - 2016 A1 - Georg Primes A1 - Martin Fieder KW - Genetics KW - Genome KW - Genome-Wide Association Study KW - Older Adults UR - http://www.ashg.org/2016meeting/ ER - TY - JOUR T1 - Directional dominance on stature and cognition in diverse human populations. JF - Nature Y1 - 2015 A1 - Joshi, Peter K A1 - Tõnu Esko A1 - Mattsson, Hannele A1 - Eklund, Niina A1 - Gandin, Ilaria A1 - Nutile, Teresa A1 - Jackson, Anne U A1 - Schurmann, Claudia A1 - Albert Vernon Smith A1 - Zhang, Weihua A1 - Okada, Yukinori A1 - Stančáková, Alena A1 - Jessica Faul A1 - Wei Zhao A1 - Traci M Bartz A1 - Maria Pina Concas A1 - Franceschini, Nora A1 - Enroth, Stefan A1 - Vitart, Veronique A1 - Trompet, Stella A1 - Guo, Xiuqing A1 - Daniel I Chasman A1 - Jeff O'Connell A1 - Corre, Tanguy A1 - Nongmaithem, Suraj S A1 - Chen, Yuning A1 - Mangino, Massimo A1 - Ruggiero, Daniela A1 - Traglia, Michela A1 - Farmaki, Aliki-Eleni A1 - Kacprowski, Tim A1 - Bjonnes, Andrew A1 - van der Spek, Ashley A1 - Wu, Ying A1 - Giri, Anil K A1 - Yanek, Lisa R A1 - Wang, Lihua A1 - Edith Hofer A1 - Cornelius A Rietveld A1 - McLeod, Olga A1 - Marilyn C Cornelis A1 - Pattaro, Cristian A1 - Verweij, Niek A1 - Baumbach, Clemens A1 - Abdel Abdellaoui A1 - Warren, Helen R A1 - Vuckovic, Dragana A1 - Mei, Hao A1 - Bouchard, Claude A1 - Perry, John R B A1 - Cappellani, Stefania A1 - Saira S Mirza A1 - Benton, Miles C A1 - Broeckel, Ulrich A1 - Sarah E Medland A1 - Penelope A Lind A1 - Malerba, Giovanni A1 - Alexander W Drong A1 - Yengo, Loic A1 - Bielak, Lawrence F A1 - Zhi, Degui A1 - van der Most, Peter J A1 - Daniel Shriner A1 - Mägi, Reedik A1 - Hemani, Gibran A1 - Karaderi, Tugce A1 - Wang, Zhaoming A1 - Tian Liu A1 - Demuth, Ilja A1 - Jing Hua Zhao A1 - Meng, Weihua A1 - Lataniotis, Lazaros A1 - van der Laan, Sander W A1 - Bradfield, Jonathan P A1 - Andrew R Wood A1 - Bonnefond, Amelie A1 - Ahluwalia, Tarunveer S A1 - Hall, Leanne M A1 - Salvi, Erika A1 - Yazar, Seyhan A1 - Carstensen, Lisbeth A1 - de Haan, Hugoline G A1 - Abney, Mark A1 - Afzal, Uzma A1 - Matthew A. 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Benjamin A1 - Bergmann, Sven A1 - Boerwinkle, Eric A1 - Erwin P Bottinger A1 - Campbell, Archie A1 - Chakravarti, Aravinda A1 - Chan, Yingleong A1 - Chanock, Stephen J A1 - Chen, Constance A1 - Yii-Der I Chen A1 - Collins, Francis S A1 - Connell, John A1 - Correa, Adolfo A1 - Cupples, L Adrienne A1 - Gail Davies A1 - Dörr, Marcus A1 - Georg B Ehret A1 - Ellis, Stephen B A1 - Feenstra, Bjarke A1 - Feitosa, Mary F A1 - Ford, Ian A1 - Caroline S Fox A1 - Timothy M Frayling A1 - Friedrich, Nele A1 - Geller, Frank A1 - Scotland, Generation A1 - Gillham-Nasenya, Irina A1 - Gottesman, Omri A1 - Graff, Misa A1 - Grodstein, Francine A1 - Gu, Charles A1 - Haley, Chris A1 - Hammond, Christopher J A1 - Sarah E Harris A1 - Tamara B Harris A1 - Nicholas D Hastie A1 - Heard-Costa, Nancy L A1 - Heikkilä, Kauko A1 - Lynne J Hocking A1 - Homuth, Georg A1 - Jouke-Jan Hottenga A1 - Huang, Jinyan A1 - Huffman, Jennifer E A1 - Hysi, Pirro G A1 - Mohammed Arfan Ikram A1 - Ingelsson, Erik A1 - Joensuu, Anni A1 - Johansson, Åsa A1 - Jousilahti, Pekka A1 - Jukema, J Wouter A1 - Kähönen, Mika A1 - Kamatani, Yoichiro A1 - Kanoni, Stavroula A1 - Kerr, Shona M A1 - Khan, Nazir M A1 - Philipp D Koellinger A1 - Koistinen, Heikki A A1 - Kooner, Manraj K A1 - Kubo, Michiaki A1 - Kuusisto, Johanna A1 - Lahti, Jari A1 - Lenore J Launer A1 - Lea, Rodney A A1 - Lehne, Benjamin A1 - Lehtimäki, Terho A1 - David C Liewald A1 - Lars Lind A1 - Loh, Marie A1 - Lokki, Marja-Liisa A1 - London, Stephanie J A1 - Loomis, Stephanie J A1 - Loukola, Anu A1 - Lu, Yingchang A1 - Lumley, Thomas A1 - Lundqvist, Annamari A1 - Männistö, Satu A1 - Marques-Vidal, Pedro A1 - Masciullo, Corrado A1 - Matchan, Angela A1 - Mathias, Rasika A A1 - Matsuda, Koichi A1 - Meigs, James B A1 - Meisinger, Christa A1 - Meitinger, Thomas A1 - Menni, Cristina A1 - Mentch, Frank D A1 - Mihailov, Evelin A1 - Lili Milani A1 - Montasser, May E A1 - Grant W Montgomery A1 - Alanna C Morrison A1 - Myers, Richard H A1 - Nadukuru, Rajiv A1 - Navarro, Pau A1 - Nelis, Mari A1 - Nieminen, Markku S A1 - Ilja M Nolte A1 - O'Connor, George T A1 - Ogunniyi, Adesola A1 - Padmanabhan, Sandosh A1 - Walter R Palmas A1 - Pankow, James S A1 - Patarcic, Inga A1 - Pavani, Francesca A1 - Peyser, Patricia A A1 - Pietilainen, Kirsi A1 - Neil Poulter A1 - Prokopenko, Inga A1 - Ralhan, Sarju A1 - Redmond, Paul A1 - Rich, Stephen S A1 - Rissanen, Harri A1 - Robino, Antonietta A1 - Rose, Lynda M A1 - Rose, Richard A1 - Cinzia Felicita Sala A1 - Babatunde Salako A1 - Veikko Salomaa A1 - Sarin, Antti-Pekka A1 - Saxena, Richa A1 - Schmidt, Helena A1 - Scott, Laura J A1 - Scott, William R A1 - Sennblad, Bengt A1 - Seshadri, Sudha A1 - Peter Sever A1 - Shrestha, Smeeta A1 - Smith, Blair H A1 - Jennifer A Smith A1 - Soranzo, Nicole A1 - Sotoodehnia, Nona A1 - Southam, Lorraine A1 - Stanton, Alice V A1 - Stathopoulou, Maria G A1 - Strauch, Konstantin A1 - Strawbridge, Rona J A1 - Suderman, Matthew J A1 - Tandon, Nikhil A1 - Tang, Sian-Tsun A1 - Kent D Taylor A1 - Bamidele O Tayo A1 - Töglhofer, Anna Maria A1 - Tomaszewski, Maciej A1 - Tšernikova, Natalia A1 - Tuomilehto, Jaakko A1 - André G Uitterlinden A1 - Vaidya, Dhananjay A1 - van Hylckama Vlieg, Astrid A1 - van Setten, Jessica A1 - Vasankari, Tuula A1 - Vedantam, Sailaja A1 - Vlachopoulou, Efthymia A1 - Vozzi, Diego A1 - Vuoksimaa, Eero A1 - Waldenberger, Melanie A1 - Erin B Ware A1 - Wentworth-Shields, William A1 - Whitfield, John B A1 - Sarah Wild A1 - Gonneke Willemsen A1 - Yajnik, Chittaranjan S A1 - Yao, Jie A1 - Zaza, Gianluigi A1 - Zhu, Xiaofeng A1 - Salem, Rany M A1 - Melbye, Mads A1 - Bisgaard, Hans A1 - Nilesh J Samani A1 - Cusi, Daniele A1 - Mackey, David A A1 - Cooper, Richard S A1 - Froguel, Philippe A1 - Pasterkamp, Gerard A1 - Grant, Struan F A A1 - Hakonarson, Hakon A1 - Luigi Ferrucci A1 - Scott, Robert A A1 - Morris, Andrew D A1 - Palmer, Colin N A A1 - George Dedoussis A1 - Deloukas, Panos A1 - Bertram, Lars A1 - Lindenberger, Ulman A1 - Berndt, Sonja I A1 - Lindgren, Cecilia M A1 - Nicholas J Timpson A1 - Tönjes, Anke A1 - Munroe, Patricia B A1 - Thorkild I. A. Sørensen A1 - Charles N Rotimi A1 - Donna K Arnett A1 - Oldehinkel, Albertine J A1 - Sharon L R Kardia A1 - Balkau, Beverley A1 - Gambaro, Giovanni A1 - Morris, Andrew P A1 - Johan G Eriksson A1 - Margaret J Wright A1 - Nicholas G Martin A1 - Hunt, Steven C A1 - John M Starr A1 - Ian J Deary A1 - Griffiths, Lyn R A1 - Henning Tiemeier A1 - Nicola Pirastu A1 - Kaprio, Jaakko A1 - Wareham, Nicholas J A1 - Pérusse, Louis A1 - Wilson, James G A1 - Giorgia G Girotto A1 - Caulfield, Mark J A1 - Olli T Raitakari A1 - Dorret I Boomsma A1 - Gieger, Christian A1 - van der Harst, Pim A1 - Hicks, Andrew A A1 - Kraft, Peter A1 - Sinisalo, Juha A1 - Knekt, Paul A1 - Johannesson, Magnus A1 - Patrik K E Magnusson A1 - Hamsten, Anders A1 - Schmidt, Reinhold A1 - Ingrid B Borecki A1 - Vartiainen, Erkki A1 - Becker, Diane M A1 - Bharadwaj, Dwaipayan A1 - Mohlke, Karen L A1 - Boehnke, Michael A1 - Cornelia M van Duijn A1 - Sanghera, Dharambir K A1 - Teumer, Alexander A1 - Zeggini, Eleftheria A1 - Andres Metspalu A1 - Paolo P. Gasparini A1 - Ulivi, Sheila A1 - Ober, Carole A1 - Toniolo, Daniela A1 - Rudan, Igor A1 - David J Porteous A1 - Ciullo, Marina A1 - Timothy Spector A1 - Caroline Hayward A1 - Dupuis, Josée A1 - Ruth J F Loos A1 - Alan F Wright A1 - Chandak, Giriraj R A1 - Vollenweider, Peter A1 - Alan R Shuldiner A1 - Ridker, Paul M A1 - Rotter, Jerome I A1 - Sattar, Naveed A1 - Gyllensten, Ulf A1 - Kari E North A1 - Pirastu, Mario A1 - Psaty, Bruce M A1 - David R Weir A1 - Laakso, Markku A1 - Gudnason, Vilmundur A1 - Takahashi, Atsushi A1 - Chambers, John C A1 - Kooner, Jaspal S A1 - David P Strachan A1 - Campbell, Harry A1 - Joel N Hirschhron A1 - Markus Perola A1 - Polasek, Ozren A1 - James F Wilson KW - Biological Evolution KW - Blood pressure KW - Body Height KW - Cholesterol KW - Cognitive Ability KW - Cohort Studies KW - Education KW - Female KW - Forced Expiratory Volume KW - Genome KW - Homozygote KW - Humans KW - Lung Volume Measurements KW - Male KW - Phenotype AB -

Homozygosity has long been associated with rare, often devastating, Mendelian disorders, and Darwin was one of the first to recognize that inbreeding reduces evolutionary fitness. However, the effect of the more distant parental relatedness that is common in modern human populations is less well understood. Genomic data now allow us to investigate the effects of homozygosity on traits of public health importance by observing contiguous homozygous segments (runs of homozygosity), which are inferred to be homozygous along their complete length. Given the low levels of genome-wide homozygosity prevalent in most human populations, information is required on very large numbers of people to provide sufficient power. Here we use runs of homozygosity to study 16 health-related quantitative traits in 354,224 individuals from 102 cohorts, and find statistically significant associations between summed runs of homozygosity and four complex traits: height, forced expiratory lung volume in one second, general cognitive ability and educational attainment (P < 1 × 10(-300), 2.1 × 10(-6), 2.5 × 10(-10) and 1.8 × 10(-10), respectively). In each case, increased homozygosity was associated with decreased trait value, equivalent to the offspring of first cousins being 1.2 cm shorter and having 10 months' less education. Similar effect sizes were found across four continental groups and populations with different degrees of genome-wide homozygosity, providing evidence that homozygosity, rather than confounding, directly contributes to phenotypic variance. Contrary to earlier reports in substantially smaller samples, no evidence was seen of an influence of genome-wide homozygosity on blood pressure and low density lipoprotein cholesterol, or ten other cardio-metabolic traits. Since directional dominance is predicted for traits under directional evolutionary selection, this study provides evidence that increased stature and cognitive function have been positively selected in human evolution, whereas many important risk factors for late-onset complex diseases may not have been.

VL - 523 IS - 7561 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26131930?dopt=Abstract ER - TY - JOUR T1 - Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair. JF - Nat Genet Y1 - 2015 A1 - Day, Felix R A1 - Ruth, Katherine S A1 - Thompson, Deborah J A1 - Kathryn L Lunetta A1 - Pervjakova, Natalia A1 - Daniel I Chasman A1 - Stolk, Lisette A1 - Finucane, Hilary K A1 - Sulem, Patrick A1 - Bulik-Sullivan, Brendan A1 - Tõnu Esko A1 - Andrew D Johnson A1 - Elks, Cathy E A1 - Franceschini, Nora A1 - He, Chunyan A1 - Altmaier, Elisabeth A1 - Brody, Jennifer A A1 - Lude L Franke A1 - Huffman, Jennifer E A1 - Keller, Margaux F A1 - McArdle, Patrick F A1 - Nutile, Teresa A1 - Porcu, Eleonora A1 - Robino, Antonietta A1 - Rose, Lynda M A1 - Schick, Ursula M A1 - Jennifer A Smith A1 - Teumer, Alexander A1 - Traglia, Michela A1 - Vuckovic, Dragana A1 - Yao, Jie A1 - Wei Zhao A1 - Albrecht, Eva A1 - Amin, Najaf A1 - Corre, Tanguy A1 - Jouke-Jan Hottenga A1 - Mangino, Massimo A1 - Albert Vernon Smith A1 - Toshiko Tanaka A1 - Gonçalo R Abecasis A1 - Andrulis, Irene L A1 - Anton-Culver, Hoda A1 - Antoniou, Antonis C A1 - Arndt, Volker A1 - Alice M. Arnold A1 - Barbieri, Caterina A1 - Beckmann, Matthias W A1 - Beeghly-Fadiel, Alicia A1 - Benitez, Javier A1 - Bernstein, Leslie A1 - Bielinski, Suzette J A1 - Blomqvist, Carl A1 - Boerwinkle, Eric A1 - Bogdanova, Natalia V A1 - Bojesen, Stig E A1 - Manjeet K. Bolla A1 - Borresen-Dale, Anne-Lise A1 - Boutin, Thibaud S A1 - Brauch, Hiltrud A1 - Brenner, Hermann A1 - Brüning, Thomas A1 - Burwinkel, Barbara A1 - Campbell, Archie A1 - Campbell, Harry A1 - Chanock, Stephen J A1 - Chapman, J Ross A1 - Yii-Der I Chen A1 - Chenevix-Trench, Georgia A1 - Couch, Fergus J A1 - Coviello, Andrea D A1 - Cox, Angela A1 - Czene, Kamila A1 - Darabi, Hatef A1 - De Vivo, Immaculata A1 - Ellen W Demerath A1 - Joe G Dennis A1 - Devilee, Peter A1 - Dörk, Thilo A1 - Dos-Santos-Silva, Isabel A1 - Dunning, Alison M A1 - John D Eicher A1 - Fasching, Peter A A1 - Jessica Faul A1 - Figueroa, Jonine A1 - Flesch-Janys, Dieter A1 - Gandin, Ilaria A1 - Melissa E Garcia A1 - García-Closas, Montserrat A1 - Giles, Graham G A1 - Giorgia G Girotto A1 - Goldberg, Mark S A1 - González-Neira, Anna A1 - Goodarzi, Mark O A1 - Grove, Megan L A1 - Gudbjartsson, Daniel F A1 - Guénel, Pascal A1 - Guo, Xiuqing A1 - Christopher A Haiman A1 - Hall, Per A1 - Hamann, Ute A1 - Henderson, Brian E A1 - Lynne J Hocking A1 - Hofman, Albert A1 - Homuth, Georg A1 - Hooning, Maartje J A1 - John L Hopper A1 - Hu, Frank B A1 - Huang, Jinyan A1 - Humphreys, Keith A1 - Hunter, David J A1 - Jakubowska, Anna A1 - Jones, Samuel E A1 - Kabisch, Maria A1 - Karasik, David A1 - Knight, Julia A A1 - Kolcic, Ivana A1 - Charles Kooperberg A1 - Kosma, Veli-Matti A1 - Kriebel, Jennifer A1 - Kristensen, Vessela A1 - Lambrechts, Diether A1 - Langenberg, Claudia A1 - Li, Jingmei A1 - Li, Xin A1 - Lindström, Sara A1 - Yongmei Liu A1 - Luan, Jian'an A1 - Lubinski, Jan A1 - Mägi, Reedik A1 - Mannermaa, Arto A1 - Manz, Judith A1 - Margolin, Sara A1 - Marten, Jonathan A1 - Nicholas G Martin A1 - Masciullo, Corrado A1 - Meindl, Alfons A1 - Michailidou, Kyriaki A1 - Mihailov, Evelin A1 - Lili Milani A1 - Milne, Roger L A1 - Müller-Nurasyid, Martina A1 - Michael A Nalls A1 - Neale, Benjamin M A1 - Nevanlinna, Heli A1 - Neven, Patrick A1 - Anne B Newman A1 - Børge G Nordestgaard A1 - Olson, Janet E A1 - Padmanabhan, Sandosh A1 - Peterlongo, Paolo A1 - Peters, Ulrike A1 - Petersmann, Astrid A1 - Peto, Julian A1 - Pharoah, Paul D P A1 - Nicola Pirastu A1 - Pirie, Ailith A1 - Pistis, Giorgio A1 - Polasek, Ozren A1 - David J Porteous A1 - Psaty, Bruce M A1 - Pylkäs, Katri A1 - Radice, Paolo A1 - Raffel, Leslie J A1 - Fernando Rivadeneira A1 - Rudan, Igor A1 - Rudolph, Anja A1 - Ruggiero, Daniela A1 - Cinzia Felicita Sala A1 - Sanna, Serena A1 - Sawyer, Elinor J A1 - Schlessinger, David A1 - Schmidt, Marjanka K A1 - Schmidt, Frank A1 - Schmutzler, Rita K A1 - Schoemaker, Minouk J A1 - Scott, Robert A A1 - Seynaeve, Caroline M A1 - Simard, Jacques A1 - Sorice, Rossella A1 - Southey, Melissa C A1 - Stöckl, Doris A1 - Strauch, Konstantin A1 - Swerdlow, Anthony A1 - Kent D Taylor A1 - Thorsteinsdottir, Unnur A1 - Toland, Amanda E A1 - Tomlinson, Ian A1 - Truong, Thérèse A1 - Tryggvadottir, Laufey A1 - Stephen T Turner A1 - Vozzi, Diego A1 - Wang, Qin A1 - Wellons, Melissa A1 - Gonneke Willemsen A1 - James F Wilson A1 - Winqvist, Robert A1 - Wolffenbuttel, Bruce B H R A1 - Alan F Wright A1 - Yannoukakos, Drakoulis A1 - Zemunik, Tatijana A1 - Wei Zhang A1 - Zygmunt, Marek A1 - Bergmann, Sven A1 - Dorret I Boomsma A1 - Buring, Julie E A1 - Luigi Ferrucci A1 - Grant W Montgomery A1 - Gudnason, Vilmundur A1 - Timothy Spector A1 - Cornelia M van Duijn A1 - Alizadeh, Behrooz Z A1 - Ciullo, Marina A1 - Crisponi, Laura A1 - Easton, Douglas F A1 - Paolo P. Gasparini A1 - Gieger, Christian A1 - Tamara B Harris A1 - Caroline Hayward A1 - Sharon L R Kardia A1 - Kraft, Peter A1 - McKnight, Barbara A1 - Andres Metspalu A1 - Alanna C Morrison A1 - Reiner, Alex P A1 - Ridker, Paul M A1 - Rotter, Jerome I A1 - Toniolo, Daniela A1 - André G Uitterlinden A1 - Ulivi, Sheila A1 - Völzke, Henry A1 - Wareham, Nicholas J A1 - David R Weir A1 - Laura M Yerges-Armstrong A1 - Price, Alkes L A1 - Stefansson, Kari A1 - Visser, Jenny A A1 - Ong, Ken K A1 - Chang-Claude, Jenny A1 - Joanne M Murabito A1 - Perry, John R B A1 - Murray, Anna KW - Age Factors KW - Aging KW - BRCA1 Protein KW - Breast Neoplasms KW - DNA Repair KW - Female KW - Genome KW - Genome-Wide Association Study KW - Genotype KW - Humans KW - Hypothalamus KW - Menopause KW - Middle Aged KW - Models, Genetic KW - Older Adults KW - Phenotype KW - Reproduction KW - Signal Transduction AB -

Menopause timing has a substantial impact on infertility and risk of disease, including breast cancer, but the underlying mechanisms are poorly understood. We report a dual strategy in ∼70,000 women to identify common and low-frequency protein-coding variation associated with age at natural menopause (ANM). We identified 44 regions with common variants, including two regions harboring additional rare missense alleles of large effect. We found enrichment of signals in or near genes involved in delayed puberty, highlighting the first molecular links between the onset and end of reproductive lifespan. Pathway analyses identified major association with DNA damage response (DDR) genes, including the first common coding variant in BRCA1 associated with any complex trait. Mendelian randomization analyses supported a causal effect of later ANM on breast cancer risk (∼6% increase in risk per year; P = 3 × 10(-14)), likely mediated by prolonged sex hormone exposure rather than DDR mechanisms.

VL - 47 IS - 11 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26414677?dopt=Abstract ER -