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  1. Importance of IQ
  2.  
  3. https://mpra.ub.uni-muenchen.de/76922/1/MPRA_paper_76922.pdf
  4. https://archive.li/n5Sxv
  5. https://archive.li/MGxWa
  6.  
  7. Genes matter a lot, generally
  8.  
  9. http://news.ubc.ca/2015/05/06/how-your-brain-reacts-to-emotional-information-is-influenced-by-your-genes/
  10.  
  11. Other metrics which matter
  12.  
  13. https://www.sciencedirect.com/science/article/abs/pii/S0047272711001381
  14.  
  15. Epigenetics
  16.  
  17. https://whyevolutionistrue.wordpress.com/2018/05/29/the-flimsy-evidence-for-epigenetic-changes-in-dna-to-be-transmitted-between-generations-of-humans/amp/?__twitter_impression=true
  18.  
  19. Methylation specifically
  20.  
  21. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3759714/
  22. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3730924/
  23. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3334571/
  24.  
  25. Racial Bias/Contact Research
  26.  
  27. http://news.msu.edu/media/documents/2011/06/f729e36e-e050-45e0-b6cf-27eb8a71bcfc.pdf
  28. https://web.archive.org/web/20180607092748/http://news.msu.edu/media/documents/2011/06/f729e36e-e050-45e0-b6cf-27eb8a71bcfc.pdf
  29.  
  30. http://www.cdnresearch.net/pubs/2015_McDonald_Navarrete_PsychScience.pdf
  31. https://web.archive.org/web/20180607093011/http://www.cdnresearch.net/pubs/2015_McDonald_Navarrete_PsychScience.pdf
  32.  
  33. Miscegenation
  34.  
  35. https://archive.li/g85sz
  36. https://archive.fo/P9Ghc
  37. http://archive.is/P9Ghc
  38. http://www.nber.org/papers/w14192
  39. http://www.nber.org/papers/w14192
  40. https://www.npr.org/2017/12/07/568948782/black-mothers-keep-dying-after-giving-birth-shalon-irvings-story-explains-why
  41. https://www.npr.org/sections/codeswitch/2013/11/30/247530095/are-you-interested-dating-odds-favor-white-men-asian-women
  42. https://archive.fo/ISpHM
  43. https://web.archive.org/web/20160320234245/http://www.jkp.com/uk/mixed-experiences.html
  44.  
  45. Other mental traits
  46.  
  47. https://www.sciencedirect.com/science/article/abs/pii/S0047272711001381
  48. http://news.ubc.ca/2015/05/06/how-your-brain-reacts-to-emotional-information-is-influenced-by-your-genes/
  49.  
  50. Expert Opinion
  51.  
  52. http://www.intelligence.martinsewell.com/Gottfredson1997.pdf
  53.  
  54. Criticisms of HBD/Hereditarianism
  55.  
  56. https://www.madinamerica.com/2013/03/the-trouble-with-twin-studies/
  57. https://www.ethnicity-facts-figures.service.gov.uk/education-skills-and-training/a-levels/students-aged-16-to-18-achieving-3-a-grades-or-better-at-a-level/latest
  58.  
  59. Criticisms of critics
  60.  
  61. https://www.bitchute.com/video/t5TbcrRbpUAu/
  62. http://emilkirkegaard.dk/en/?p=7257
  63. http://emilkirkegaard.dk/en/?p=7257
  64. https://preservingeurope.wordpress.com/2018/01/04/shaun-vs-the-great-replacement-anti-white-rhetoric-refuted-part-1/
  65.  
  66. Morphological differences
  67.  
  68. https://www.cell.com/current-biology/pdf/S0960-9822(15)00671-5.pdf
  69. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2862912/
  70. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361742/
  71. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0013642
  72. https://scholar.google.com/scholar?hl=en&as_sdt=0%2C31&as_vis=1&q=african+humans+brain+structure&btnG=#d=gs_qabs&p=&u=%23p%3Doa7SPw_9iysJ
  73. https://drive.google.com/file/d/1ICXVn7QK4QE3x1g7vcKoSJihYycOFQAl/view
  74.  
  75. Medical differences
  76.  
  77. https://www.npr.org/2017/12/07/568948782/black-mothers-keep-dying-after-giving-birth-shalon-irvings-story-explains-why
  78.  
  79.  
  80. Past European Thought on Race
  81.  
  82. https://books.google.com/books?id=0kQgSKlUFa8C&printsec=frontcover&dq=race+and+redemption+new+england&hl=en&sa=X&ved=0ahUKEwj4q52r7tXbAhWjwFkKHQ6RA2oQ6AEIJzAA#v=onepage&q=race%20and%20redemption%20new%20england&f=false
  83.  
  84. Sex Realism
  85.  
  86. https://cepa.stanford.edu/sites/default/files/wp18-13-v201806_0.pdf
  87.  
  88.  
  89. Lead, apparently
  90.  
  91. https://www.vox.com/a/lead-exposure-risk-map
  92. https://www.huffingtonpost.com/entry/most-dangerous-cities-florida_n_4524866
  93.  
  94. Academia, the absolute state of
  95.  
  96. https://drive.google.com/file/d/0B3c4TxciNeJZOTl3clpiX0JKckk/view
  97.  
  98. Immigracion
  99.  
  100. https://drive.google.com/file/d/0B7Y5iblDQOJBUURmWHhsRXowV3M/view
  101. https://drive.google.com/file/d/0B7Y5iblDQOJBUURmWHhsRXowV3M/view
  102. https://www.census.gov/prod/cen2010/briefs/c2010br-01.pdf
  103.  
  104. Huwite Flight
  105.  
  106. https://pastebin.com/iekxMVFP
  107. https://www.theatlantic.com/business/archive/2015/07/white-flight-alive-and-well/399980/
  108.  
  109. Ethnic nepotism and politicking
  110.  
  111. http://www.foxnews.com/politics/2018/03/08/mexican-presidential-hopeful-campaigns-in-california-slams-trump-and-backs-illegal-immigrants.html
  112.  
  113. Autosegregation
  114.  
  115. http://sci-hub.tw/https://doi.org/10.1371/journal.pgen.1004572
  116. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0042702
  117.  
  118. European Genetics
  119.  
  120. https://commons.m.wikimedia.org/wiki/File:European_genetic_structure_(based_on_SNPs)_PC_analysis.png
  121.  
  122. Social Media Debates
  123.  
  124. https://archive.li/heskD
  125. https://archive.li/RA7Vh
  126. https://archive.li/FO7Ji
  127. https://archive.li/5sr8E
  128. https://elifesciences.org/articles/09343
  129. https://archive.li/7xL92
  130. https://archive.li/6u69l
  131. https://archive.li/u5Mx0
  132. https://archive.li/v8ryH
  133. https://archive.li/IW6Ln
  134. https://archive.li/7YY11
  135.  
  136. https://archive.li/9C6bq
  137.  
  138. https://archive.li/BlKCa
  139. http://www.pnas.org/content/114/5/e727
  140.  
  141. https://archive.li/dNKec
  142.  
  143.  
  144. https://archive.li/LRE8o
  145. https://archive.li/nGMGt
  146.  
  147. https://www.youtube.com/watch?v=etMmhzQL3ho&feature=youtu.be
  148.  
  149. Other pastebins and resources
  150.  
  151. https://redpilled.club
  152.  
  153. https://www.reddit.com/r/HBD/
  154. https://pastebin.com/u/maxred
  155.  
  156. https://www.bitchute.com/video/t5TbcrRbpUAu/
  157.  
  158. Sean last's old and current blog:
  159. http://archive.is/spawktalk.blogspot.com
  160. https://ideasanddata.wordpress.com/
  161. Althype old and new site:
  162. http://neweuropeanp.tumblr.com/
  163. http://thealternativehypothesis.org/
  164. Preprint server for biology papers:
  165. https://www.biorxiv.org/
  166. Most cited papers in "Intelligence"
  167. https://www.journals.elsevier.com/intelligence/most-cited-articles
  168. HBD:
  169. http://archive.is/6xRv8
  170. Kirkegaard blog: (+all his papers)
  171. http://emilkirkegaard.dk/
  172. David piffer's work:
  173. https://openpsych.net/person/5
  174. Metapedia:
  175. http://en.metapedia.org/wiki/Main_Page
  176. Library of hate:
  177. https://libraryofhate.com/
  178. True Dil tom doc:
  179. https://docs.google.com/document/d/1n6b_-2gRE_ewAST716x8VwQtn4LuxFPE3kpmeFTMetw/edit?usp=drivesdk
  180. My doc:
  181. https://docs.google.com/document/d/14vxK0EYTdnqk_wKCQWYkA9TARzMhqe1uhgxegk5DvFg/edit?usp=drivesdk
  182. Audacious epigone:
  183. http://anepigone.blogspot.com/?m=1
  184. Francis the Guido:
  185. https://preservingeurope.wordpress.com/
  186.  
  187. Arguments for our position
  188.  
  189. Matty: I talk about the 80% general Heritability of IQ after 12 years old mostly.
  190. But they're not exactly wrong. IQ has a crystallized element that you have to control for. That's why distilling g and finding its Heritability is better. Fourth stage did that a couple days ago. Rushton did it as a career for a decade lol
  191. We've also got GWAS hits, mutational load, evidence for selection in the brain transcriptome, frontal lobe volume, Spearman analyses, personality research, Dan Friedman's stuff on neonate behavior. Every little morsel of research ever done on the subject calls back to a rich history- no, histories, plural- of natural selection operating on the brain in different environments across the globe.
  192.  
  193. Me: basically going through each category and showing it's doubtful and how environmental explanations have to get more and more nebulous to cope with this (SES doesnt cause the gap so it must be systems of oppression!)
  194.  
  195. Replies to critics
  196.  
  197. Debunking Denialism:
  198. thealternativehypothesis.org/index.php/2016/05/04/debunking-a-denier-part-1-the-existence-of-race-race-iq/
  199. thealternativehypothesis.org/index.php/2016/05/05/debunking-a-denier-part-2-race-and-crime/
  200. thealternativehypothesis.org/index.php/2017/02/24/first-worldism-part-3-the-heritability-of-political-views/
  201.  
  202. Expert Opinion
  203.  
  204. http://www.intelligence.martinsewell.com/Gottfredson1997.pdf
  205. http://emilkirkegaard.dk/en/wp-content/uploads/2013-survey-of-expert-opinion-on-intelligence.pdf
  206.  
  207. General chat essays:
  208.  
  209. SUBJECT MATTER: WHITE PREGNANT FEMALES FEAR OF BLACK MEN- REPLICATED STUDIES
  210. 1.) McDonald-"Fertility and Intergroup Bias in Racial and Minimal-Group Contexts: Evidence for Shared Architecture
  211. McDonald: "Recent research has shown that White women’s bias against Black men increases with elevated fertility across the menstrual cycle. We demonstrate that the association between fertility and intergroup bias is not limited to groups defined by race, but extends to group categories that are minimally defined, and may depend on the extent to which women associate out-group men with physical formidability. In Study 1, Black and White women with strong associations between the racial out-group and physical formidability displayed greater bias against out-group men as conception risk increased. Study 2 replicated these results in a minimal-group paradigm. These findings are consistent with the notion that women may be endowed with a psychological system that generates intergroup bias via mechanisms that rely on categorization heuristics and perceptions of the physical formidability of out-group men, particularly when the costs of sexual coercion are high.
  212. https://www.jstor.org/stable/25835467?seq=1#page_scan_tab_contents
  213.  
  214. SUBJECT MATTER: WHITE PREGNANT FEMALES FEAR OF BLACK MEN- REPLICATED STUDIES
  215. 2.) McDonald:"Examining the Link Between Conception Risk and Intergroup Bias: The Importance of Conceptual Coherence-Replication"
  216. McDonald:"Evolutionary approaches to intergroup bias have predominantly
  217. focused on male perpetrators of bias (e.g., Sidanius & Pratto, 1999; Van Vugt, De Cremer, & Janssen,
  218. 2007; Wrangham & Peterson, 1996). However, recent research has examined how the motivations for intergroup
  219. bias may differ between men and women, providing evidence for a female-specific psychology of prejudice
  220. against out-group men that is linked to changes in conception risk across the menstrual cycle (McDonald, Asher,
  221. Kerr, & Navarrete, 2011; Navarrete, Fessler, Fleischman, & Geyer, 2009). Hawkins, Fitzgerald, and Nosek (2015)
  222. reported a putative failure to confirm this link in a series of replication attempts. Here, we offer three important
  223. critiques of their replication attempts that should help clarify these apparent inconsistencies. The most important
  224. critique involves the theoretical coherence of the conceptual replications—specifically, the use of female
  225. target stimuli in research purportedly aimed at investigating the workings of a psychological system for the avoidance of sexual coercion. Our Commentary is intended to improve understanding of the theoretical arguments
  226. underlying key predictions in order to facilitate the continued coherence of research in this important area."
  227. Retype: "Evolutionary approaches to intergroup bias have predominantly
  228. focused on male perpetrators of bias (e.g.,
  229. Sidanius & Pratto, 1999; Van Vugt, De Cremer, & Janssen,
  230. 2007; Wrangham & Peterson, 1996). However, recent
  231. research has examined how the motivations for intergroup
  232. bias may differ between men and women, providing
  233. evidence for a female-specific psychology of prejudice
  234. against out-group men that is linked to changes in conception
  235. risk across the menstrual cycle (McDonald, Asher,
  236. Kerr, & Navarrete, 2011; Navarrete, Fessler, Fleischman, &
  237. Geyer, 2009). Hawkins, Fitzgerald, and Nosek (2015)
  238. reported a putative failure to confirm this link in a series
  239. of replication attempts. Here, we offer three important
  240. critiques of their replication attempts that should help
  241. clarify these apparent inconsistencies. The most important
  242. critique involves the theoretical coherence of the
  243. conceptual replications—specifically, the use of female
  244. target stimuli in research purportedly aimed at investigating
  245. the workings of a psychological system for the avoidance
  246. of sexual coercion. Our Commentary is intended to
  247. improve understanding of the theoretical arguments
  248. underlying key predictions in order to facilitate the continued
  249. coherence of research in this important area.
  250.  
  251. SUBJECT MATTER: EPIGENETICS AND RACE
  252. 1.) Genome-Wide Variation of Cytosine Modifications Between European and African Populations and the Implications for Complex Traits
  253. Moen:"Elucidating cytosine modification differences between human populations can enhance our understanding of ethnic specificity in complex traits. In this study, cytosine modification levels in 133 HapMap lymphoblastoid cell lines derived from individuals of European or African ancestry were profiled using the Illumina HumanMethylation450 BeadChip. Approximately 13% of the analyzed CpG sites showed differential modification between the two populations at a false discovery rate of 1%. The CpG sites with greater modification levels in European descent were enriched in the proximal regulatory regions, while those greater in African descent were biased toward gene bodies. More than half of the detected population-specific cytosine modifications could be explained primarily by local genetic variation. In addition, a substantial proportion of local modification quantitative trait loci exhibited population-specific effects, suggesting that genetic epistasis and/or genotype · environment interactions could be common. Distinctcorrelations were observed between gene expression levels and cytosine modifications in proximal regions and gene bodies, suggesting epigenetic regulation of interindividual expression variation. Furthermore, quantitative trait loci associated with population-specific modifications can be colocalized with expression quantitative trait loci and single nucleotide polymorphisms previously identified for complex traits with known racial disparities. Our findings revealed abundant population-specific cytosine modifications and the underlying genetic basis, as well as the relatively independent contribution of genetic and epigenetic variations to population differences in gene expression."
  254. PLEASE READ THE LAST LINE OF THAT ABSTRACT
  255. 2.) DNA methylation contributes to natural human variation-THIS STUDY PROVES THAT THE MAJORITY OF METHYLATION VARIATION IS FROM GENETIC VARIATION
  256. Heyn:" DNA methylation differences can be partially traced back to genetic variation,
  257. suggesting that differentially methylated CpG sites serve as evolutionarily established mediators between the
  258. genetic code and phenotypic variability. Notably, one-third of the DNA methylation differences were not associated with any genetic variation, suggesting that variation in population-specific sites takes place at the genetic and epigenetic levels, highlighting the contribution of epigenetic modification to natural human variation.
  259.  
  260.  
  261. 1.) McDonald-"Fertility and Intergroup Bias in Racial and Minimal-Group Contexts: Evidence for Shared Architecture
  262.  
  263. http://news.msu.edu/media/documents/2011/06/f729e36e-e050-45e0-b6cf-27eb8a71bcfc.pdf
  264. https://web.archive.org/web/20180607092748/http://news.msu.edu/media/documents/2011/06/f729e36e-e050-45e0-b6cf-27eb8a71bcfc.pdf
  265.  
  266. 2.) McDonald:"Examining the Link Between Conception Risk and Intergroup Bias: The Importance of Conceptual Coherence-Replication"
  267.  
  268. http://www.cdnresearch.net/pubs/2015_McDonald_Navarrete_PsychScience.pdf
  269. https://web.archive.org/web/20180607093011/http://www.cdnresearch.net/pubs/2015_McDonald_Navarrete_PsychScience.pdf
  270.  
  271. NEW TOPIC
  272. SUBJECT MATTER: EPIGENETICS AND RACE
  273.  
  274. 1.) Genome-Wide Variation of Cytosine Modifications Between European and African Populations and the Implications for Complex Traits
  275. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3730924/
  276. http://archive.is/PAXOt
  277.  
  278. 2.) DNA methylation contributes to natural human variation-THIS STUDY PROVES THAT THE MAJORITY OF METHYLATION VARIATION IS FROM GENETIC VARIATION
  279.  
  280. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3759714/
  281. http://archive.is/FJOoK
  282.  
  283. SUBJECT MATTER: TWINS-VALIDITY OF GENETIC PREDISPOSITIONS
  284.  
  285. 1)Jacob Felson: What can we learn from twin studies? A comprehensive evaluation of the equal environments assumption
  286. https://pdfs.semanticscholar.org/6c61/c3c0909c4aee8a72ad2e1c9d629cc200558e.pdf
  287. https://web.archive.org/web/20180606083159/https://pdfs.semanticscholar.org/6c61/c3c0909c4aee8a72ad2e1c9d629cc200558e.pdf
  288.  
  289. 2)Dalton Conley :"Heritability and the Equal Environments Assumption: Evidence
  290. from Multiple Samples of Misclassified Twins"
  291. https://link.springer.com/article/10.1007%2Fs10519-013-9602-1
  292. https://archive.fo/iAXph
  293.  
  294. 3.) William G. Iacono: "The utility of twins in developmental cognitive neuroscience research: How
  295. twins strengthen the ABCD research design"
  296. https://www.sciencedirect.com/science/article/pii/S1878929317301135
  297. https://archive.fo/fafiQ
  298.  
  299. 4.) Hallgrmsson: "Spatial Coherence of Oriented White Matter Microstructure:
  300. https://arxiv.org/abs/1802.05342
  301. https://archive.fo/eRweu
  302.  
  303. 5.) Waldman: "Twins’ Rearing Environment Similarity and Childhood
  304. Externalizing Disorders: A Test of the Equal Environments Assumption"
  305. https://link.springer.com/article/10.1007%2Fs10519-014-9685-3
  306. https://archive.fo/fiI6t
  307.  
  308. 6.) Mara ten Kate: "White matter hyperintensities and vascular risk factors in
  309. https://www.sciencedirect.com/science/article/pii/S0197458018300447
  310. https://archive.fo/wh2lV
  311.  
  312. 7.) Cocaro: "Reduced frontal grey matter, life history of aggression, and underlying
  313. genetic influence"
  314. https://www.ncbi.nlm.nih.gov/pubmed/29174436
  315. https://archive.fo/DAFqM
  316.  
  317. 8.)Jacob Felson-What Can we Learn From Twin Studies?
  318. https://pdfs.semanticscholar.org/3ed6/ea579e47a3e7446254c63de8816a368993a7.pdf
  319. https://web.archive.org/web/20180606084440/https://pdfs.semanticscholar.org/3ed6/ea579e47a3e7446254c63de8816a368993a7.pdf
  320.  
  321. SUBJECT MATTER: EPIGENETICS AND RACE
  322.  
  323. 1.) Gertz: "Analysis of DNA Methylation in a Three-Generation Family Reveals Widespread Genetic Influence on Epigenetic Regulation"
  324. http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1002228
  325. https://web.archive.org/save/http://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1002228
  326.  
  327. 2.) Fraser:"Population-specificity of human DNA methylation"
  328. https://www.ncbi.nlm.nih.gov/pubmed/22322129
  329. https://archive.fo/YAnsh
  330.  
  331.  
  332. 1.) Manuck:" Racial and ethnic differences in preterm birth: A complex,multifactorial problem"
  333. https://www.sciencedirect.com/science/article/pii/S0146000517300988
  334. https://archive.fo/I4V5v
  335.  
  336. SUBJECT MATTER: TWINS-VALIDITY OF GENETIC PREDISPOSITIONS
  337. Jacob Felson: What can we learn from twin studies? A comprehensive evaluation of the equal environments assumption
  338. Felson: "Results support a middle ground position; it is likely that the EEA is
  339. not strictly valid for most outcomes, but the resulting bias is likely modest."
  340. 2.) Dalton Conley :"Heritability and the Equal Environments Assumption: Evidence
  341. from Multiple Samples of Misclassified Twins"
  342. Dalton: "Overall, the evidence suggests that typical twin heritability
  343. estimates of behavioral outcomes are not upwardly biased
  344. by failing to address the covariance between genes and
  345. environment. In other words, our evidence supports the
  346. EEA and lends credence to methods used here and in
  347. previous studies that compare similarity based on actual
  348. and perceived zygosity to assess the EEA. Further, our
  349. results build on previous research to suggest that phenotypic
  350. similarity and perceived zygosity are not co-determined."
  351. 3.) William G. Iacono: "The utility of twins in developmental cognitive neuroscience research: How
  352. twins strengthen the ABCD research design"
  353. Iacono: "The study of twins has provided compelling evidence of the ubiquitous
  354. influence of genetics, as well as environments, on important
  355. human traits ranging from anthropometric characteristics, to physiological
  356. and biochemical traits, to diseases, and psychological and behavioral
  357. traits and disorders"
  358. 4.) Hallgrmsson: "Spatial Coherence of Oriented White Matter Microstructure:
  359. Applications to White Matter Regions Associated with Genetic Similarity"
  360. Hallgrmsson :" This method is demonstrated on a population of monozygotic
  361. (MZ) and dizygotic (DZ) twins, with a control
  362. group composed of the same individuals with their pairings
  363. scrambled such as to keep the same demographic proles
  364. but otherwise form unrelated strangers. The method discovers
  365. 3.7% of all white matter voxels to be associated with
  366. genetic similarity (35.1k voxels, p < 10􀀀4, false discovery
  367. rate 1.5%), 75% of which form twenty-two contiguous
  368. white matter regions. These white matter regions generalize
  369. to a population of non-twin siblings and are shown
  370. to be a good indicator of genetic similarity there as well,
  371. as compared to a population of strangers. The regions
  372. encapsulate nearly all of deep white matter."
  373.  
  374. 5.) Waldman: "Twins’ Rearing Environment Similarity and Childhood
  375. Externalizing Disorders: A Test of the Equal Environments Assumption"
  376. Waldman: "We found that MZ twins experienced substantially more
  377. similar rearing environments than DZ twins, but that there
  378. was little evidence that MZ and DZ correlations for the
  379. externalizing symptom dimensions varied by rearing
  380. environment similarity. Thus, these results constitute evidence
  381. for the validity of the EEA for childhood externalizing
  382. disorders."
  383. 6.) Mara ten Kate: "White matter hyperintensities and vascular risk factors in
  384. monozygotic twins"
  385. Kate: "The withinetwin pair correlation for total WMHs was 0.76 and for Framingham score was 0.77. Within
  386. participants, Framingham score was associated with total and periventricular WMHs (r ¼ 0.32). Framingham
  387. score in 1 twin was also associated with total WMHs in the co-twin (r ¼ 0.26). Up to 83% of the
  388. relation between both traits could be explained by shared genetic effects. In conclusion, monozygotic
  389. twins have highly similar vascular risk and WMH burden, confirming a genetic background for these
  390. traits. The association between both traits is largely driven by overlapping genetic factors"
  391. 7.) Cocaro: "Reduced frontal grey matter, life history of aggression, and underlying
  392. genetic influence"
  393. Cocaro: "Genetic factors accounted for the majority of the
  394. phenotypic correlations between aggression and mPFC GMV (85.3%) and between aggression and lPFC GMV
  395. (63.7%). Reduced GMV of prefrontal brain regions may be a neuronal characteristic of individuals with substantial
  396. histories of aggressive behavior regardless of psychiatric diagnosis. As such, these data suggest an
  397. anatomical correlate, with a possible genetic etiology, associated with functional deficits in social-emotional
  398. information processing"
  399. 8.)Jacob Felson-What Can we Learn From Twin Studies? (2009 Book) (This one is a hard one to find, I got the copy from a pirateer)
  400. Felson:"The findings are not easily categorized as supporting or undermining the EEA.
  401. Some violations of EEA were found for some outcomes, but the bias caused by these
  402. violations is likely to be modest in most cases. Researchers should not conduct twin
  403. studies without including controls for environmental similarity. However, the findings
  404. also indicate that many of the results of twin studies are robust with these controls.
  405. The flaws of twin studies are not fatal, but rather seem no worse (and maybe better)
  406. than the flaws of the typical causal study that relies on observational data."
  407. SUBJECT MATTER: EPIGENETICS AND RACE
  408. NEW TOPIC
  409. SUBJECT MATTER: EPIGENETICS AND RACE
  410. 1.) Gertz: "Analysis of DNA Methylation in a Three-Generation
  411. Family Reveals Widespread Genetic Influence on Epigenetic Regulation"
  412. Gertz:"We found that 75% of genotype-dependent differential methylation events in
  413. the family are also seen in unrelated individuals and that overall genotype can explain 80% of the variation in DNA
  414. methylation. These events are under-represented in CpG islands, enriched in intergenic regions, and located in regions of low evolutionary conservation. Even though they are generally not in functionally constrained regions, 22% (twice as manyas expected by chance) of genes harboring genotype-dependent DNA methylation exhibited allele-specific gene expression as measured by RNA-seq of a lymphoblastoid cell line, indicating that some of these events are associated with gene expression differences. Overall, our results demonstrate that the influence of genotype on patterns of DNA methylation is widespread in the genome and greatly exceeds the influence of imprinting on genome-wide methylation patterns."
  415. 2.) Fraser:"Population-specificity of human DNA methylation"
  416. Fraser:" Here we measure DNA methylation near the transcription start sites of over 14, 000 genes in 180 cell lines
  417. derived from one African and one European population. We find population-specific patterns of DNA methylation
  418. at over a third of all genes. Furthermore, although the methylation at over a thousand CpG sites is heritable, these
  419. heritabilities also differ between populations, suggesting extensive divergence in the genetic control of DNA
  420. methylation. In support of this, genetic mapping of DNA methylation reveals that most of the population
  421. specificity can be explained by divergence in allele frequencies between populations, and that there is little overlap
  422. in genetic associations between populations. These population-specific genetic associations are supported by the
  423. patterns of DNA methylation in several hundred brain samples, suggesting that they hold in vivo and across
  424. tissues."
  425. NEW TOPIC
  426. SUBJECT MATTER: RACE MIXING AND HEALTH
  427. 1.) Manuck:" Racial and ethnic differences in preterm birth: A complex,multifactorial problem"
  428. "Preterm birthremainstheleadingcauseofmorbidityandmortalityamongnonanomalous
  429. neonates, andisamajorpublichealthproblem.Non-Hispanicblackwomenhavea2-fold
  430. greater riskforpretermbirthcomparedwithnon-Hispanicwhiterace.Thereasonsforthis
  431. disparity arepoorlyunderstoodandcannotbeexplainedsolelybysociodemographic
  432. factors. Underlyingfactorsincludingacomplexinteractionbetweenmaternal,paternal,
  433. and fetalgenetics,epigenetics,themicrobiome,andthesesociodemographicriskfactors
  434. likely underliesthedifferencesbetweenracialgroups,buttheserelationshipsarecurrently
  435. poorly understood.Thisarticlereviewstheepidemiologyofdisparitiesinpretermbirth
  436. rates andadversepregnancyoutcomesanddiscusspossibleexplanationsfortheracialand
  437. ethnic differences,whileexaminingpotentialsolutionstothismajorpublichealth
  438. problem."
  439. RETYPE: "Preterm birth remains the leading cause of morbidity and mortality among nonanomalous neonates, and is a major public health problem. Non-Hispanic black women have a 2-fold greater risk for preterm birth compared with non-Hispanic white race. The reasons for this disparity are poorly understood and cannot be explained solely by sociodemographic factors. Underlying factors including a complex interaction between maternal, paternal, and fetal genetics, epigenetics, the microbiome, and these sociodemographic risk factors likely underlies the differences between racial groups, but these relationships are currently poorly understood. This article reviews the epidemiology of disparities in preterm birth rates and adverse pregnancy outcomes and discuss possible explanations for the racial and ethnic differences, while examining potential solutions to this major public health problem."
  440.  
  441. Future Topics: predictive power of hereditarianism versus egalitarianism
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