| Year |
Citation |
Score |
| 2024 |
Sarwal V, Lee S, Yang J, Sankararaman S, Chaisson M, Eskin E, Mangul S. VISTA: an integrated framework for structural variant discovery. Briefings in Bioinformatics. 25. PMID 39297879 DOI: 10.1093/bib/bbae462 |
0.363 |
|
| 2024 |
Jeong M, Pazokitoroudi A, Liu Z, Sankararaman S. Scalable summary statistics-based heritability estimation method with individual genotype level accuracy. Genome Research. PMID 39038848 DOI: 10.1101/gr.279207.124 |
0.35 |
|
| 2024 |
Pazokitoroudi A, Liu Z, Dahl A, Zaitlen N, Rosset S, Sankararaman S. A scalable and robust variance components method reveals insights into the architecture of gene-environment interactions underlying complex traits. American Journal of Human Genetics. PMID 38866020 DOI: 10.1016/j.ajhg.2024.05.015 |
0.336 |
|
| 2023 |
An U, Pazokitoroudi A, Alvarez M, Huang L, Bacanu S, Schork AJ, Kendler K, Pajukanta P, Flint J, Zaitlen N, Cai N, Dahl A, Sankararaman S. Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries. Nature Genetics. PMID 37985819 DOI: 10.1038/s41588-023-01558-w |
0.316 |
|
| 2023 |
Fu B, Pazokitoroudi A, Xue A, Anand A, Anand P, Zaitlen N, Sankararaman S. A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic epistasis. Biorxiv : the Preprint Server For Biology. PMID 37745394 DOI: 10.1101/2023.09.10.557084 |
0.306 |
|
| 2023 |
Hou K, Ding Y, Xu Z, Wu Y, Bhattacharya A, Mester R, Belbin GM, Buyske S, Conti DV, Darst BF, Fornage M, Gignoux C, Guo X, Haiman C, Kenny EE, ... ... Sankararaman S, et al. Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals. Nature Genetics. PMID 36941441 DOI: 10.1038/s41588-023-01338-6 |
0.309 |
|
| 2023 |
Zhang X, Kim B, Singh A, Sankararaman S, Durvasula A, Lohmueller KE. MaLAdapt reveals novel targets of adaptive introgression from Neanderthals and Denisovans in worldwide human populations. Molecular Biology and Evolution. PMID 36617238 DOI: 10.1093/molbev/msad001 |
0.399 |
|
| 2022 |
Zou J, Zhou J, Faller S, Brown RP, Sankararaman SS, Eskin E. Accurate modeling of replication rates in genome-wide association studies by accounting for Winner's Curse and study-specific heterogeneity. G3 (Bethesda, Md.). PMID 36250793 DOI: 10.1093/g3journal/jkac261 |
0.305 |
|
| 2022 |
Chiu AM, Molloy EK, Tan Z, Talwalkar A, Sankararaman S. Inferring population structure in biobank-scale genomic data. American Journal of Human Genetics. 109: 727-737. PMID 35298920 DOI: 10.1016/j.ajhg.2022.02.015 |
0.338 |
|
| 2020 |
Pazokitoroudi A, Wu Y, Burch KS, Hou K, Zhou A, Pasaniuc B, Sankararaman S. Efficient variance components analysis across millions of genomes. Nature Communications. 11: 4020. PMID 32782262 DOI: 10.1038/S41467-020-17576-9 |
0.398 |
|
| 2020 |
Sankararaman S. Methods for detecting introgressed archaic sequences. Current Opinion in Genetics & Development. 62: 85-90. PMID 32717667 DOI: 10.1016/J.Gde.2020.05.026 |
0.41 |
|
| 2020 |
Agrawal A, Chiu AM, Le M, Halperin E, Sankararaman S. Scalable probabilistic PCA for large-scale genetic variation data. Plos Genetics. 16: e1008773. PMID 32469896 DOI: 10.1371/Journal.Pgen.1008773 |
0.437 |
|
| 2020 |
Durvasula A, Sankararaman S. Recovering signals of ghost archaic introgression in African populations. Science Advances. 6: eaax5097. PMID 32095519 DOI: 10.1126/Sciadv.Aax5097 |
0.384 |
|
| 2020 |
Wu Y, Eskin E, Sankararaman S. A Unifying Framework for Imputing Summary Statistics in Genome-Wide Association Studies. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. PMID 32053016 DOI: 10.1089/Cmb.2019.0449 |
0.404 |
|
| 2019 |
Hou K, Burch KS, Majumdar A, Shi H, Mancuso N, Wu Y, Sankararaman S, Pasaniuc B. Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture. Nature Genetics. PMID 31358995 DOI: 10.1038/S41588-019-0465-0 |
0.404 |
|
| 2019 |
Durvasula A, Sankararaman S. A statistical model for reference-free inference of archaic local ancestry. Plos Genetics. 15: e1008175. PMID 31136573 DOI: 10.1371/Journal.Pgen.1008175 |
0.474 |
|
| 2018 |
Wu Y, Sankararaman S. A scalable estimator of SNP heritability for biobank-scale data. Bioinformatics (Oxford, England). 34: i187-i194. PMID 29950019 DOI: 10.1093/bioinformatics/bty253 |
0.317 |
|
| 2018 |
Schumer M, Xu C, Powell DL, Durvasula A, Skov L, Holland C, Blazier JC, Sankararaman S, Andolfatto P, Rosenthal GG, Przeworski M. Natural selection interacts with recombination to shape the evolution of hybrid genomes. Science (New York, N.Y.). PMID 29674434 DOI: 10.1126/Science.Aar3684 |
0.352 |
|
| 2017 |
Hormozdiari F, Zhu A, Kichaev G, Ju CJ, Segrè AV, Joo JWJ, Won H, Sankararaman S, Pasaniuc B, Shifman S, Eskin E. Widespread Allelic Heterogeneity in Complex Traits. American Journal of Human Genetics. 100: 789-802. PMID 28475861 DOI: 10.1016/J.Ajhg.2017.04.005 |
0.392 |
|
| 2017 |
Jégou B, Sankararaman S, Rolland AD, Reich D, Chalmel F. Meiotic genes are enriched in regions of reduced archaic ancestry. Molecular Biology and Evolution. PMID 28444387 DOI: 10.1093/Molbev/Msx141 |
0.338 |
|
| 2016 |
Hormozdiari F, van de Bunt M, Segrè AV, Li X, Joo JW, Bilow M, Sul JH, Sankararaman S, Pasaniuc B, Eskin E. Colocalization of GWAS and eQTL Signals Detects Target Genes. American Journal of Human Genetics. PMID 27866706 DOI: 10.1016/J.Ajhg.2016.10.003 |
0.397 |
|
| 2016 |
Mallick S, Li H, Lipson M, Mathieson I, Gymrek M, Racimo F, Zhao M, Chennagiri N, Nordenfelt S, Tandon A, Skoglund P, Lazaridis I, Sankararaman S, Fu Q, Rohland N, et al. The Simons Genome Diversity Project: 300 genomes from 142 diverse populations. Nature. PMID 27654912 DOI: 10.1038/Nature18964 |
0.419 |
|
| 2016 |
Moorjani P, Sankararaman S, Fu Q, Przeworski M, Patterson N, Reich D. A genetic method for dating ancient genomes provides a direct estimate of human generation interval in the last 45,000 years. Proceedings of the National Academy of Sciences of the United States of America. PMID 27140627 DOI: 10.1073/Pnas.1514696113 |
0.422 |
|
| 2016 |
Sankararaman S, Mallick S, Patterson N, Reich D. The Combined Landscape of Denisovan and Neanderthal Ancestry in Present-Day Humans. Current Biology : Cb. PMID 27032491 DOI: 10.1016/J.Cub.2016.03.037 |
0.365 |
|
| 2015 |
Palamara PF, Francioli LC, Wilton PR, Genovese G, Gusev A, Finucane HK, Sankararaman S, Sunyaev SR, de Bakker PI, Wakeley J, Pe'er I, Price AL. Leveraging Distant Relatedness to Quantify Human Mutation and Gene-Conversion Rates. American Journal of Human Genetics. PMID 26581902 DOI: 10.1016/J.Ajhg.2015.10.006 |
0.359 |
|
| 2015 |
Lipson M, Loh PR, Sankararaman S, Patterson N, Berger B, Reich D. Calibrating the Human Mutation Rate via Ancestral Recombination Density in Diploid Genomes. Plos Genetics. 11: e1005550. PMID 26562831 DOI: 10.1371/Journal.Pgen.1005550 |
0.353 |
|
| 2015 |
Zou JY, Park DS, Burchard EG, Torgerson DG, Pino-Yanes M, Song YS, Sankararaman S, Halperin E, Zaitlen N. Genetic and socioeconomic study of mate choice in Latinos reveals novel assortment patterns. Proceedings of the National Academy of Sciences of the United States of America. 112: 13621-6. PMID 26483472 DOI: 10.1073/Pnas.1501741112 |
0.413 |
|
| 2015 |
Zou JY, Halperin E, Burchard E, Sankararaman S. Inferring parental genomic ancestries using pooled semi-Markov processes. Bioinformatics (Oxford, England). 31: i190-i196. PMID 26072482 DOI: 10.1093/Bioinformatics/Btv239 |
0.349 |
|
| 2015 |
Racimo F, Sankararaman S, Nielsen R, Huerta-Sánchez E. Evidence for archaic adaptive introgression in humans. Nature Reviews. Genetics. 16: 359-71. PMID 25963373 DOI: 10.1038/Nrg3936 |
0.389 |
|
| 2014 |
Sankararaman S, Mallick S, Dannemann M, Prüfer K, Kelso J, Pääbo S, Patterson N, Reich D. The genomic landscape of Neanderthal ancestry in present-day humans. Nature. 507: 354-7. PMID 24476815 DOI: 10.1038/Nature12961 |
0.396 |
|
| 2014 |
Prüfer K, Racimo F, Patterson N, Jay F, Sankararaman S, Sawyer S, Heinze A, Renaud G, Sudmant PH, de Filippo C, Li H, Mallick S, Dannemann M, Fu Q, Kircher M, et al. The complete genome sequence of a Neanderthal from the Altai Mountains. Nature. 505: 43-9. PMID 24352235 DOI: 10.1038/Nature12886 |
0.393 |
|
| 2013 |
Bhatia G, Patterson N, Sankararaman S, Price AL. Estimating and interpreting FST: The impact of rare variants Genome Research. 23: 1514-1521. PMID 23861382 DOI: 10.1101/Gr.154831.113 |
0.38 |
|
| 2013 |
Pasaniuc B, Sankararaman S, Torgerson DG, Gignoux C, Zaitlen N, Eng C, Rodriguez-Cintron W, Chapela R, Ford JG, Avila PC, Rodriguez-Santana J, Chen GK, Le Marchand L, Henderson B, Reich D, et al. Analysis of Latino populations from GALA and MEC studies reveals genomic loci with biased local ancestry estimation. Bioinformatics (Oxford, England). 29: 1407-15. PMID 23572411 DOI: 10.1093/Bioinformatics/Btt166 |
0.386 |
|
| 2012 |
Sankararaman S, Patterson N, Li H, Pääbo S, Reich D. The date of interbreeding between Neandertals and modern humans. Plos Genetics. 8: e1002947. PMID 23055938 DOI: 10.1371/Journal.Pgen.1002947 |
0.357 |
|
| 2012 |
Turchin MC, Chiang CW, Palmer CD, Sankararaman S, Reich D, Hirschhorn JN. Evidence of widespread selection on standing variation in Europe at height-associated SNPs. Nature Genetics. 44: 1015-9. PMID 22902787 DOI: 10.1038/Ng.2368 |
0.362 |
|
| 2012 |
Baran Y, Pasaniuc B, Sankararaman S, Torgerson DG, Gignoux C, Eng C, Rodriguez-Cintron W, Chapela R, Ford JG, Avila PC, Rodriguez-Santana J, Burchard EG, Halperin E. Fast and accurate inference of local ancestry in Latino populations. Bioinformatics (Oxford, England). 28: 1359-67. PMID 22495753 DOI: 10.1093/Bioinformatics/Bts144 |
0.408 |
|
| 2012 |
Bouchard-Côté A, Sankararaman S, Jordan MI. Phylogenetic inference via sequential Monte Carlo. Systematic Biology. 61: 579-93. PMID 22223445 DOI: 10.1093/Sysbio/Syr131 |
0.51 |
|
| 2010 |
Hodgkinson CA, Enoch MA, Srivastava V, Cummins-Oman JS, Ferrier C, Iarikova P, Sankararaman S, Yamini G, Yuan Q, Zhou Z, Albaugh B, White KV, Shen PH, Goldman D. Genome-wide association identifies candidate genes that influence the human electroencephalogram. Proceedings of the National Academy of Sciences of the United States of America. 107: 8695-700. PMID 20421487 DOI: 10.1073/Pnas.0908134107 |
0.362 |
|
| 2010 |
Sankararaman S, Sha F, Kirsch JF, Jordan MI, Sjölander K. Active site prediction using evolutionary and structural information. Bioinformatics (Oxford, England). 26: 617-24. PMID 20080507 DOI: 10.1093/Bioinformatics/Btq008 |
0.601 |
|
| 2009 |
Sankararaman S, Obozinski G, Jordan MI, Halperin E. Genomic privacy and limits of individual detection in a pool. Nature Genetics. 41: 965-7. PMID 19701190 DOI: 10.1038/Ng.436 |
0.651 |
|
| 2009 |
Alterovitz R, Arvey A, Sankararaman S, Dallett C, Freund Y, Sjölander K. ResBoost: characterizing and predicting catalytic residues in enzymes. Bmc Bioinformatics. 10: 197. PMID 19558703 DOI: 10.1186/1471-2105-10-197 |
0.347 |
|
| 2009 |
Pasaniuc B, Sankararaman S, Kimmel G, Halperin E. Inference of locus-specific ancestry in closely related populations. Bioinformatics (Oxford, England). 25: i213-21. PMID 19477991 DOI: 10.1093/Bioinformatics/Btp197 |
0.373 |
|
| 2009 |
Sankararaman S, Kolaczkowski B, Sjölander K. INTREPID: a web server for prediction of functionally important residues by evolutionary analysis. Nucleic Acids Research. 37: W390-5. PMID 19443452 DOI: 10.1093/Nar/Gkp339 |
0.304 |
|
| 2008 |
Sankararaman S, Sjölander K. INTREPID--INformation-theoretic TREe traversal for Protein functional site IDentification. Bioinformatics (Oxford, England). 24: 2445-52. PMID 18776193 DOI: 10.1093/Bioinformatics/Btn474 |
0.302 |
|
| 2008 |
Sankararaman S, Kimmel G, Halperin E, Jordan MI. On the inference of ancestries in admixed populations. Genome Research. 18: 668-75. PMID 18353809 DOI: 10.1101/Gr.072751.107 |
0.51 |
|
| 2008 |
Sankararaman S, Sridhar S, Kimmel G, Halperin E. Estimating local ancestry in admixed populations. American Journal of Human Genetics. 82: 290-303. PMID 18252211 DOI: 10.1016/J.Ajhg.2007.09.022 |
0.424 |
|
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